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HomeMy WebLinkAboutItem 07a - Mixed-Use Development at 5-19 W. Huntington Dr. and 25-75 N. Santa Anita Ave.
DATE: March 18, 2025
TO: Honorable Mayor and City Council
FROM: Jason Kruckeberg, Assistant City Manager/Development Services Director
Lisa L. Flores, Deputy Development Services Director
By: Melissa Chipres, Senior Planner
SUBJECT: APPEAL OF THE PLANNING COMMISSION'S APPROVAL OF THE
ARCADIA TOWN CENTER MIXED-USE DEVELOPMENT WITH 181
RESIDENTIAL UNITS AND 13,130 SQUARE FEET OF COMMERCIAL
SPACE, WHICH INCLUDES A TENTATIVE TRACT MAP, MINOR USE
PERMIT, SITE PLAN & DESIGN REVIEW, AND CERTIFICATE OF
DEMOLITION AT 5-19 W. HUNTINGTON DRIVE AND 25-75 N. SANTA
ANITA AVENUE
CEQA: Adopt the Initial Study/Mitigated Negative Declaration with the
Mitigation Monitoring and Reporting Program
Recommendation: Adopt Resolution No. 7618 denying the Appeal and
upholding the Planning Commission Approval
SUMMARY
The Appellant, Lozeau Drury LLP on behalf of Supporters Alliance for Environmental
Responsibility (“SAFER”), has filed an appeal to overturn the Planning Commission’s
approval of a new five-story mixed-use development known as the “Arcadia Town
Center,” located at 5-19 W. Huntington Drive and 25-75 N. Santa Anita Avenue. The
Arcadia Town Center includes 181 residential units, 13,130 square feet of ground-floor
commercial space, and 378 parking spaces (one level of subterranean parking and one
level of ground level parking). The request also includes incidental outdoor dining for the
restaurant uses on the ground level.
It is recommended that the City Council deny the appeal and uphold the Planning
Commission’s approval of the Arcadia Town Center mixed-use development; and adopt
Resolution No. 7618 (refer to Attachment No. 1), adopting the Mitigated Negative
Declaration (“MND”) under the California Environmental Quality Act (“CEQA”) and
approving Minor Use Permit No. MUP 19-11, Tentative Tract Map No. TTM 21-02
(83325), Site Plan & Design Review No. ADR 19-09, and Certificate of Demolition No.
COD 22-25, subject to the conditions of approval and mitigation measures listed in this
staff report.
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BACKGROUND
The project site is comprised of five legal lots totaling 2.27 acres that span the entire block
from Huntington Drive to Morlan Place, extending along Santa Anita Avenue (refer to
Figure No. 1 below). Currently, the site includes 11 commercial buildings and surface
parking on each legal lot. All the commercial buildings are currently vacant, except for
Monarch Donuts. The property is bordered to the north by a Mercedes Benz dealership
(Mercedes Benz of Arcadia), to the east by commercial establishments (Denny's
restaurant and a dermatologist office), and to the west by the Arcadia Elks Lodge. To the
south, just across Huntington Drive, is Arcadia County Park.
Figure 1: Site Plan
Planning for the Arcadia Town Center has been underway since 2019, with several key
revisions made throughout the process. A major change occurred with the addition of the
corner parcel at 5 W. Huntington Drive - the former Jiffy Lube located at the intersection
of Huntington Drive and Santa Anita Avenue. The Applicant temporarily paused the
project until acquiring the property in 2021, as its inclusion was essential for a cohesive
and visually integrated design along both frontages. Following the acquisition, the project
was redesigned to seamlessly incorporate the corner parcel, enhancing both functionality
and aesthetics.
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March 18, 2025
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The site is currently zoned Downtown Mixed Use (“DMU”) and has a corresponding
Downtown Mixed Use designation in the General Plan. Previously, the site had a
combination of DMU and Central Business District (“CBD”) zoning and General Plan land
use designation, with a Downtown Overlay. In February 2024, both the zoning and
General Plan land use designation were updated to ensure consistency across the entire
site as part of the Housing Element Update to the General Plan, enabling the site to better
accommodate housing development throughout the project.
On January 14, 2025, the Planning Commission approved the project with a 4-0 vote,
with Commissioner Arvizu absent. Further details of the Planning Commission’s
discussion are provided later in this staff report. A full project description, along with the
Planning Commission Staff Report and approved Minutes, can be found in Attachment
No. 4.
On January 27, 2025, the Appellant, Lozeau Drury LLP on behalf of Supporters Alliance
for Environmental Responsibility (“SAFER”), filed an appeal within the prescribed 10-day
appeal period – refer to Appeal letter under Attachment No. 2. SAFER is an organization
associated with the Southern California District Council of Laborers, a chartered council
of the Laborers International Union of North America (“LIUNA”). They previously
submitted the same letter on December 20, 2024, addressing concerns about biological
resources, noise, air quality, and greenhouse gas emissions during the Initial
Study/Mitigated Negative Declaration IS/MND public review period (November 21, 2024,
through December 20, 2024), for which the City provided written responses for
consideration by Planning Commission. These documents can also be found under
Attachment No. 2.
The Notice of Determination (“NOD”) for the Arcadia Town Center was filed at the Los
Angeles County Registrar-Recorder/County Clerk on January 17, 2025, and posted at the
State Clearinghouse on January 18, 2025. If the City Council approves the project, a new
NOD will need to be filed.
DISCUSSION
The Arcadia Town Center project proposes the construction of a new five-story building
with a contemporary design, featuring four floors of residential units (181 condominiums)
above 13,130 square feet of ground-floor commercial space. The development will
include parking for residents, guests, and customers, with a subterranean parking level
dedicated to residents. Additionally, the project plans for seven outdoor dining areas
adjacent to the commercial spaces, facing Huntington Drive and Santa Anita Avenue. The
commercial spaces will be oriented toward the streets and connected to public plazas
and residential unit lobbies to create an active, vibrant environment. The project also
includes a Tentative Tract Map (“TTM”) to subdivide the building’s airspace for
condominium purposes and consolidate five existing lots into a single parcel – Refer to
Attachment No. 3 for the Architectural Plans and TTM. The development will comply with
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all relevant zoning requirements, including height limits, density, floor area ratio, setbacks,
and will align with the City’s design guidelines.
The proposed residential condominium units will be sold separately for ownership, with
41 one-bedroom units, 108 two-bedroom units, and 32 three-bedroom units. Renderings
from the two intersections along Santa Anita Avenue are provided below as Figures 2
and 3.
Figure 2: Corner View of Santa Anita Avenue and Huntington Drive
Figure 3: Corner view of Morlan Place and Santa Anita Avenue
For a full review of the project, please refer to the Planning Commission Staff Report,
included as Attachment No. 4. As mentioned above, the project meets all relevant
development standards and design guidelines. Parking, circulation, access and egress,
and traffic impacts have all been evaluated and the project has met all requirements.
One unique aspect of the project related to utilities is the need for sewer upsizing. The
site is served by an eight-inch sewer line on Santa Anita Avenue and a 10-inch sewer line
on Morlan Place, both flowing into an 18-inch Los Angeles County Sanitation District
(“LACSD”) trunk line at Camino Real Avenue and 1st Avenue. To accommodate growth
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in the Santa Anita corridor, including this and other planned projects, the City is replacing
approximately 1.3 miles of sewer line on Santa Anita Avenue with a 12-inch pipeline. This
sewer upsizing is part of a capital improvement project to handle increased wastewater
generation and is expected to be completed by the end of the 2026-27 Fiscal Year. As a
condition of approval, the Arcadia Town Center Applicant will contribute 9% of the total
cost of the sewer upsizing, as the project will use the new pipeline. The sewer upsizing
must be completed before a Certificate of Occupancy can be issued for the Arcadia Town
Center. While essential for the project, the upsizing is being carried out by the City and is
not part of the project’s direct scope, as noted in the Mitigated Negative Declaration
(“MND”).
The Appeal
The Appellant’s concerns focus on how the project impacts the environment in
accordance with the California Environmental Quality Act (“CEQA”). Specifically, the
appeal raises issues related to air quality (including indoor air quality) and greenhouse
gas (“GHG”) emissions, biological resources, and noise. The appeal letter challenges the
adequacy of the environmental analyses conducted under CEQA and expresses
concerns about the potential health risks associated with the indoor air quality of the
proposed building.
It is important to note that both the South Coast Air Quality Management District
(“SCAQMD”), which oversees air quality and Greenhouse Gas (“GHG”) emissions, and
the California Department of Fish and Wildlife (“CDFW”), which handles biological
resources, received the Notice of Intent to Adopt a Mitigated Negative Declaration (“NOI”)
for the project. Neither agency provided comments on the Initial Study/Mitigated Negative
Declaration (“IS/MND”), which suggests they did not have concerns about the
methodology or assumptions used in the environmental review. This information was
presented to the Planning Commission.
The three issues raised by the Appellant are outlined below—see Attachment No. 2 for
the Appellant’s letter. These issues are addressed directly in the Response to Comments
(“RTC”) for the IS/MND, prepared by the environmental firm Psomas - see Attachment
No. 5.
1. Air Quality and Greenhouse Gas Emissions
The Appellant’s letter of appeal, including information from the environmental consulting
firm Soil/Water/Air Protection Enterprise (“SWAPE”), states that the Arcadia Town Center
project will negatively affect air quality due to several issues with the MND’s air quality
analysis. Specifically, SWAPE contends that:
1. The MND relies on an inadequate air quality analysis.
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2. The Project will cause significant health risks related to air pollutants, which the
MND fails to address adequately.
3. The MND does not fully evaluate the Project’s greenhouse gas (“GHG”) emissions
impacts.
4. The MND lacks all feasible mitigation measures to address the Project’s air quality
impacts.
SWAPE also alleged that the MND’s air quality technical reports in Appendix A were
incomplete. Specifically, the CalEEMod output files provided in the MND included land
use inputs but omitted key qualitative outputs regarding both construction and operational
emissions, and did not detail changes to the model’s default values. Without access to
this data, SWAPE was unable to verify the significance or accuracy of the MND’s air
quality modeling and recommends that an EIR be prepared to disclose the complete
CalEEMod output files to comply with CEQA’s formal guidelines.
The Appellant is correct in noting that CalEEMod provides default model inputs commonly
used across the industry, which can be adjusted if more accurate, project-specific data is
available. The default inputs were developed based on general assumptions, which may
not fully represent every project. Therefore, the South Coast Air Quality Management
District (“SCAQMD”) permits modifications to these inputs when more representative data
is available. For the Arcadia Town Center project, air quality and GHG emissions
modeling was based on detailed, project-specific information, which was gathered
through a specialized data needs form and extensive coordination with the Applicant.
Where appropriate, the CalEEMod inputs were adjusted to ensure the model accurately
reflected the project’s conditions, following industry standard practices.
Upon reviewing the IS/MND’s Appendix A files in response to this comment, Psomas
discovered that some sections of the CalEEMod.PDF output for the proposed conditions
did not populate with modeled data. This issue was caused by a software glitch and,
although it had not been observed before or since, the data for existing conditions was
fully populated. The sections that did not populate for the proposed conditions are as
follows:
• Section 2: Emissions Summary
• Section 3: Construction Emissions Details
• Section 4: Operations Emissions Details
• Section 5: Activity Data
• Section 8: User Changes to Default Data
Despite this issue, all relevant inputs and quantitative outputs were included in the body
of the IS/MND. The Appellant’s comment that SWAPE could not verify the accuracy of
the air quality modeling due to the missing data is unsubstantiated. The absence of this
data does not imply that the air quality and GHG analyses in the MND are necessarily
inaccurate. Furthermore, the requirement for an EIR under CEQA arises only when a
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project may have significant environmental effects that cannot be mitigated to a less-than-
significant level. Therefore, the call for disclosure of the complete CalEEMod output files
is irrelevant to the determination of the appropriate CEQA documentation. It is also
important to note that the provision of CalEEMod output files is not a CEQA or State
CEQA Guidelines requirement; it is merely standard industry practice.
Additionally, the consulting firm Urban Crossroads further evaluated the potential health
risks to sensitive receptors (i.e., nearby residents) from the project. Specifically, they
assessed the health risks associated with exposure to Toxic Air Contaminants (“TACs”),
including diesel particulate matter (“DPM”), which would be generated by heavy-duty
diesel trucks and construction equipment during project construction. The health risk
assessment concluded that the project would not produce significant TAC emissions
during its long-term operation, meaning that an operational health risk assessment
(“HRA”) is not required.
2. Biological Resources
The Appellant states the Arcadia Town Center project will negatively impact biological
resources due to several deficiencies in the Mitigated Negative Declaration (“MND”).
Specifically, they claim that the MND:
1. Fails to account for the full diversity of species present on the project site, including
species with special status.
2. Inadequately analyzes the project's adverse impacts on wildlife.
3. Proposes insufficient mitigation measures to reduce biological impacts.
However, these claims are not supported by substantial evidence. The wildlife species
identified in the MND align with those observed during the site survey conducted by the
project consultant, Psomas, and with species expected to occur in or around the project
site. The Appellant does not identify any specific deficiencies in the IS/MND under the
California Environmental Quality Act (“CEQA”) or State CEQA Guidelines.
Instead, the Appellant relies on a mathematical regression model as an "analytical bridge"
to estimate species diversity onsite. This model, however, was developed based on years
of surveys conducted in the 41,300-acre Altamont Pass Wind Resource Area, a
predominantly undeveloped grassland region in central California. Applying this model—
designed for a large, open space with native vegetation—to the 2.27-acre, fully developed
urban site is both inappropriate and misleading.
The Arcadia Town Center site is an urban infill redevelopment area, currently occupied
by existing land uses with minimal pervious surfaces and sparse ornamental vegetation.
Given its location at the intersection of two major thoroughfares in Arcadia, it lacks
essential habitat components needed to support native wildlife, such as nesting areas,
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riparian resources, or diverse plant life for foraging. Urban settings do not support the
same level of wildlife diversity as natural habitats.
Because the Appellant’s analysis fails to account for these fundamental differences in
environmental settings, their conclusions are inaccurate. As a result, no revisions to the
IS/MND are warranted.
3. Noise
The Appellant states the Arcadia Town Center project will cause significant noise and
vibration impacts due to several deficiencies in the MND’s analysis. Specifically, they
claim:
1. The MND’s baseline noise data is inadequate.
2. The project will generate potentially significant construction noise.
3. The MND’s operational noise analysis is insufficient.
Although the Appellant’s expert consultant believes there is substantial evidence to
support a fair argument that the project will cause significant noise and vibration impacts,
the analysis conducted in the IS/MND indicates that, with mitigation measure (“MM”) NOI-
1, the impacts related to noise and vibration would be less than significant. Therefore, no
changes to the IS/MND are warranted, based on the analysis described below.
A short-term noise measurement was conducted at the project site boundaries to
establish existing daytime ambient noise levels near land uses adjacent to the project.
These measurements were taken during the times when project construction is expected
to occur, and they reflect the noise generated by traffic on nearby roadways, including
Santa Anita Avenue, Huntington Drive, and Santa Clara Street. Since traffic noise is the
primary source of existing ambient noise, the daytime noise levels at locations adjacent
to these roads are expected to remain fairly consistent throughout the day. Nighttime
noise measurements were not considered necessary, as project construction would be
limited to daytime hours.
Two measurement locations, to the east and south of the project, are subject to the same
traffic noise levels from Santa Anita Avenue and Huntington Drive as nearby Arcadia
County Park and residential areas on South Santa Anita Avenue. Because traffic on
Santa Clara Street is lower than on the major nearby roads, residential areas along its
western side would experience lower noise levels. However, private outdoor areas of
these residences would still be exposed to traffic noise from Santa Clara Street. These
residences would be shielded from project construction noise by intervening buildings,
such as the Mercedes Benz dealership and the Arcadia Elks Lodge.
Since the main source of operational noise is expected to be traffic generated by the
project, Psomas maintains that 24-hour noise measurements were unnecessary.
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Operational noise impacts were evaluated using Community Noise Equivalent Levels
(“CNELs”) to compare the existing environment with potential scenarios, a future without-
project and a future with-project scenarios. Additional 24-hour noise measurements would
not change the results of the IS/MND analysis.
Upon review, all concerns raised by the Appellant were found to be unsupported. The
IS/MND thoroughly addressed the potential environmental impacts and no additional
mitigation measures were deemed necessary. Consequently, the Planning Commission
approved the project, concluding that it met all environmental standards and would bring
significant benefits to the area (described further in the “Planning Commission” section
below). All assertions made by the Appellant were found to be incorrect and unsupported,
and the IS/MND effectively reviewed and discussed all potential environmental impacts,
with no new mitigation measures warranted.
FINDINGS
Minor Use Permit
Section 9107.09.050(B) of the Development Code requires that for a Minor Use Permit to
be granted, it must be found that all of the following findings can be satisfied. In this case,
the Minor Use Permit being requested is for a mixed-use development in a downtown
zone and for incidental outdoor dining.
1. The proposed use is consistent with the General Plan and any applicable
specific plan; and is allowed within the applicable zone, subject to the
granting of a Conditional Use Permit, and complies with all other applicable
provisions of this Development Code and the Municipal Code.
Facts to Support This Finding: Approval of the proposed mixed-use
development and incidental outdoor dining would be consistent with the General
Plan Land Use Designation of Downtown Mixed Use, which allows a residential
density of 80 units per acre and a commercial floor area ratio of 1.0. This land use
designation allows mixed-use developments and strongly encourages a
pedestrian-oriented environment with a complementary mix of commercial and
residential uses. The residential units will provide vitality to the area and the
proposed commercial uses and restaurants with outdoor dining will help generate
increased activity in Downtown Arcadia and along Santa Anita Avenue and
Huntington Drive, and it will continue to convey a commercial appearance along
the street. The proposed Arcadia Town Center complies with all the development
standards within the DMU Zone, including but not limited to, setbacks, height, open
space, density, and parking. As such, the project meets the Development and
Municipal Code requirements. As required by the California Environmental Quality
Act (“CEQA”), the Development Services Department prepared an Initial Study and
Mitigated Negative Declaration (“MND”) for the proposed project, which
determined that the project, with mitigation measures, will have less-than-
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significant impacts. Therefore, the proposed mixed-use development and outdoor
dining will not adversely affect the comprehensive General Plan and is consistent
with the following General Plan goals and policies:
Land Use and Community Design Element
• Policy LU-1.1: Promote new infill and redevelopment projects that are
consistent with the City’s land use and compatible with surrounding existing
uses.
• Policy LU-1.8: Encourage development of types that support transit and
other alternative forms of transportation, including bicycling and walking.
• Policy LU-4.2: Encourage residential development that enhances the visual
character, quality, and uniqueness of the City’s neighborhoods and districts.
• Policy LU-4.3: Require the provision of adequate private and common open
space for residential units. Require sufficient on-site recreational facilities to
meet the daily needs of residents, if possible, commensurate with the size
of the development.
• Policy LU-6.4: Encourage design approaches that create a cohesive,
vibrant look and that minimize the appearance of expansive parking lots on
major commercial corridors for new or redeveloped uses.
• Policy LU-6.5: Where mixed use is permitted, promote commercial uses that
are complementary to adjacent residential uses.
2. The design, location, size, and operating characteristics of the proposed
activity will be compatible with the existing and future land uses in the
vicinity.
Facts to Support This Finding: The subject site is located in the Downtown Mixed
Use (“DMU”) Zone and will be 2.19 acres in size after the dedication to the City for
public right-of-way improvements. The site is located within the City’s Downtown
area and is bounded by Mercedes Benz of Arcadia to the north across Morlan
Place, Denny’s restaurant and other commercial businesses to the east across
Santa Anita Avenue, the Arcadia Elks Lodge and other commercial uses to the
west, and the Arcadia County Park to the south. The proposed mixed-use
development will provide ground-floor commercial uses that will be compatible with
the existing and future land uses in the vicinity. The project will also provide a
residential use that will bring an increase to the residential population in the
Downtown area that will support the commercial uses in the area. Additionally,
outdoor dining will provide added curb appeal to the Arcadia Town Center and
activate the commercial area around the development. As such, the Arcadia Town
Center meets the intent of the City’s General Plan vision of the of the DMU Zone,
which is to encourage a mix of residential and commercial uses near public transit.
Therefore, the proposed development will be compatible with the existing and
future land uses in the vicinity.
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3. The site is physically suitable in terms of:
a. Its design, location, shape, size, and operating characteristics of the
proposed use in order to accommodate the use, site improvements,
loading, and parking.
Facts to Support This Finding: The project site will be 2.19 acres in size
and can physically accommodate the proposed mixed-use development
and outdoor dining. The residential component of the project will provide a
density of approximately 79.7 units per acre, which is in compliance with the
maximum density for the DMU Zone. The commercial component of the
project will have a floor area ratio (“FAR”) far below the maximum allowable
FAR of 1.0. All outdoor dining areas have been designed to be located on
private property and will not interfere with pedestrian access on or around
the site. Additionally, the amount of on-site parking that will be provided for
the development meets the minimum required by the Development Code
and the project is in close proximity to the Metro A Line Station. Therefore,
the site is adequate in size to accommodate the proposed mixed-use
development.
b. Streets and highways adequate to accommodate public and
emergency vehicle (e.g., fire and medical) access.
Facts to Support This Finding: The project site is located on the northwest
corner of Huntington Drive and Santa Anita Avenue. These streets are
designed to be adequate in width and pavement type to carry emergency
vehicles and traffic generated by the proposed uses on the site.
c. Public protection services (e.g., fire protection, police protection,
etc.).
Facts to Support This Finding: The Fire and Police Departments have
reviewed the application and determined that there will be no impacts to
public protection services. As part of the environmental review process, the
Initial Study and Mitigated Negative Declaration (“MND”) determined that
Fire and Police protection services would not be impacted. The need for
new or altered Fire or Police services is usually associated with substantial
population growth. Arcadia Town Center would provide approximately
0.82% of the projected population of 62,200 persons by 2045, as projected
by the Southern California Association of Governments. This population
growth is not considered substantial enough to require new facilities to
provide public protection services. To the extent that there will be any direct
impact to fire protection services, this development would be subject to
paying its fair share through the City’s Fire Impact Fee established for the
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Downtown. Therefore, no impacts to public protection services are
anticipated.
d. The provision of utilities (e.g., potable water, schools, solid waste
collection and disposal, storm drainage, wastewater collection,
treatment, and disposal, etc.).
Facts to Support This Finding: As part of the development, new utility
connections, including connections for potable water and storm drainage,
will be required. Implementation of best management practices by the
Applicant during construction and operation would ensure impacts to water
quality do not occur. The site can be adequately served by all required
utilities through interconnection with existing utilities within City right-of-way
abutting the site. The development will require a fair-share payment for
upsizing of a sewer line, which is anticipated to be built by the City.
4. The measure of site suitability shall be required to ensure that the type,
density, and intensity of use being proposed will not adversely affect the
public convenience, health, interest, safety, or general welfare, constitute a
nuisance, or be materially injurious to the improvements, persons, property,
or uses in the vicinity and zone in which the property is located.
Facts to Support This Finding: The Arcadia Town Center is not anticipated to be
detrimental to the public health or welfare of the surrounding properties. The
project will be compatible with the surrounding commercial uses in the general
area. The Initial Study and Mitigated Negative Declaration (“MND”) prepared for
the Arcadia Town Center analyzed all the potential impacts and all the project
impacts are less than significant or can be reduced to less than significant level,
with the implementation of the recommended mitigation measures. Therefore, no
impacts to the uses in the vicinity and zone in which the property is located are
anticipated.
Tentative Tract Map
Section 9105.03.060(A) of the Development Code requires that for a Tentative Tract Map
to be granted, it must be found that all of the following findings can be satisfied:
1. The proposed map, subdivision design, and improvements are consistent
with the General Plan, any applicable specific plan, and the Subdivisions
Division of the Development Code.
Facts in Support of the Finding: Approval of the Arcadia Town Center with a
tentative tract map to merge five lots together as one parcel and then subdivide
the airspace for condominium purposes is consistent with the Downtown Mixed
Use land use designation. The land use designation is intended to accommodate
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mixed-use development with a residential density of up to 80 units per acre, and a
floor area ratio of 1.0. The Arcadia Town Center is located in the Downtown area
and is in conformance with the City’s General Plan, Development Code, and the
Subdivision Map Act. The site is physically suitable for this type of development,
and the approval of the architectural design for the building is compatible with the
scale and character of the existing neighborhood.
2. The site is physically suitable for the type and proposed density of
development.
Facts in Support of the Finding: The subject site will measure approximately
2.19 acres in size and is located within the Downtown Mixed Use (“DMU”) Zone.
The DMU Zone has a maximum residential density of 80 units per acre, and a
maximum floor area ratio of 1.0 for non-residential uses. The Arcadia Town Center
proposes a residential density of 79.7, and a commercial FAR of 0.13. Therefore,
the development is in compliance with the Development Code and the site is
physically suitable for the proposed development. In addition, there are no physical
impediments to the development of this site for residential condominiums.
3. The design of the subdivision and the proposed improvements are not likely
to cause substantial environmental damage or substantially and avoidably
injure fish or wildlife or their habitat.
Facts in Support of the Finding: The proposed tentative tract map involves
merging five lots into a single parcel and subdividing the air space for the mixed-
use development. This is considered a minor subdivision on an infill site within an
urbanized area. The Initial Study and Mitigated Negative Declaration (“MND”) have
assessed the potential biological impacts of the project on the natural environment
and determined that no significant effects would occur. As a result, the project will
not cause substantial environmental harm or harm to fish, wildlife, or their habitats.
4. The design of the subdivision or type of improvements is not likely to cause
serious public health or safety problems.
Facts in Support of the Finding: The proposed subdivision is to merge five lots
together as one parcel and subdivide the air space of the proposed mixed-use
development. The construction of the Arcadia Town Center will be done in
compliance with Building and Fire Codes and all other applicable regulations. The
proposed density will be below the maximum allowed by the DMU Zone and the
City’s existing infrastructure will adequately serve the new development. In
addition, the Project meets all health and safety requirements and will not cause
any public health or safety problems.
5. The design of the subdivision or the type of improvements will not conflict
with easements acquired by the public at large for access through or use of,
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property within the proposed subdivision (This finding shall apply only to
easements of record or to easements established by judgement of a court of
competent jurisdiction and no authority is hereby granted to a legislative
body to determine that the public at large has acquired easements for access
through or use of property within the proposed subdivision).
Facts in Support of the Finding: The Arcadia Town Center will not impose on
any public easements and will provide dedications for public sidewalk access to
the City along Santa Anita Avenue and Huntington Drive. Therefore, no conflicts
for the use of any easements are expected.
6. The discharge of sewage from the proposed subdivision into the community
sewer system will not result in violation of existing requirements specified
by the California Regional Water Quality Control Board.
Facts in Support of the Finding: The Arcadia Public Works Services Department
determined that the City’s infrastructure will adequately serve the Arcadia Town
Center. The City is currently in the process of upsizing an existing sewer line along
Santa Anita Avenue that serves the project for which the Applicant will pay a fair
share cost to help fund the project. Upon completion, the sewer line will adequately
serve the project. Additionally, the requirements of the California Regional Water
Quality Control Board will be satisfied.
7. The proposed design and site improvements of the subdivision conform to
the regulations of the Development Code and the regulations of any public
agency having jurisdiction by law.
Facts in Support of the Finding: The proposed subdivision, as conditioned,
complies with all regulations within the Development Code and all other applicable
regulations.
Site Plan & Design Review
Section 9107.19.050(F) of the Development Code requires that the following findings
must be met for the approval of the design.
1. The proposed development will be in compliance with all applicable
development standards and regulations in the Development Code.
Facts to Support This Finding: The Arcadia Town Center is in compliance with
all the development standards required in the DMU and Downtown Overlay Zone
such as FAR, maximum height, setbacks, and parking. Therefore, the project
meets the intent of this finding.
2. The proposed development will be consistent with the objectives and
standards of the applicable Design Guidelines.
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Facts to Support This Finding: The Arcadia Town Center will feature a
contemporary architectural style, incorporating a diverse color palette and high-
quality exterior materials. This design will establish a prominent focal point at one
of the City’s major intersections, complementing the existing modern buildings
along Santa Anita Avenue, while contributing to a vibrant atmosphere in the
Downtown area. The design also includes several outdoor plazas on the ground
floor, enhancing the commercial experience by encouraging walkability and
activating public spaces. Additionally, two corner features will serve as visually
striking focal points, drawing attention and enhancing the building’s overall
aesthetic appeal. These distinctive elements will create an inviting environment,
making the Arcadia Town Center a standout addition to the area. As a result, the
proposed design is in full alignment with the City’s Design Guidelines.
3. The proposed development will be compatible in terms of scale and
aesthetic design with surrounding properties and developments.
Facts to Support This Finding: The Arcadia Town Center is compatible with
adjacent sites such as the adjacent Mercedes-Benz of Arcadia building (101 N.
Santa Anita Avenue), the IMS Executive Suites building (150 N. Santa Anita
Avenue), and the approved Alexan project regarding scale, design, and creating a
Downtown feel to the area along Santa Anita Avenue and Huntington Drive. The
design of the Arcadia Town Center thoughtfully incorporates the ideas within the
City’s Center Design Plan, which promotes increased pedestrian activity,
enhances street interaction, and building setbacks that respect the overall scale
and mass. To align with these principles, the Arcadia Town Center is setback from
Huntington Drive and Santa Anita Avenue, creating inviting public spaces and
dining areas for residents and visitors. As a result, the Arcadia Town Center
seamlessly integrates with the surrounding properties and developments as this
area is in transition to allow for more mixed-use development.
4. The proposed development will have an adequate and efficient site layout in
terms of access, vehicular circulation, parking and landscaping.
Facts to Support This Finding: The Arcadia Town Center features a well-
planned site layout, with two driveway access points designed to ensure smooth
traffic flow within the parking garage. Both driveway access and circulation have
been thoroughly reviewed by the City Engineer and are included in the Mitigated
Negative Declaration to confirm their adequacy for servicing the development. The
required parking is provided across two levels, minimizing dead-end drive aisles
to enhance circulation throughout the site. Therefore, the site will be adequate in
terms of parking and circulation.
5. The proposed development will be in compliance with all of the applicable
criteria identified in Subparagraph 9107.19.040.C.5 for compliance with the
Development Code and all other applicable City regulations and policies, the
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General Plan and any appliable specific plan, the Design Guidelines, policies
and standards, and efficient site and layout design.
Facts to Support This Finding: The Arcadia Town Center will fully comply with
all applicable standards, the General Plan, and relevant design guidelines,
contributing positively to the community’s vision for Downtown Arcadia. Located
within the DMU Zone, the project allows for a residential density of up to 80 units
per acre and a building height of up to 60 feet. The proposed mass, scale, and
design adhere to the City’s Design Guidelines and City Center Design Plan,
ensuring compatibility with existing developments in the Downtown area. The
development will also support the General Plan’s objectives by engaging the
streetscape with inviting commercial storefronts and public plazas at the ground
level. Additionally, the design incorporates adequate articulation, breaking up the
building mass into distinct segments along each street frontage by positioning
public plazas and stepping back the upper floors. As a result, the design of the
proposed mixed-use development aligns with the City’s Design Guidelines, City
Center Design Plan, and all other applicable standards.
In terms of design, the Arcadia Town Center also complies with the City Center Design
Plan, which promotes pedestrian activity, street interaction, and buildings that step back
to respect the character of existing single-story developments in Downtown Arcadia. The
Arcadia Town Center has been thoughtfully designed to incorporate public spaces and
dining areas for both residents and visitors, with generous setbacks from the street to
create inviting outdoor areas.
All City requirements regarding disabled access and facilities, occupancy limits, building
safety, health code compliance, emergency equipment, environmental regulation
compliance, and parking and site design shall be complied with by the property
owner/applicant to the satisfaction of the Building Official, City Engineer, Deputy
Development Services Director, Fire Marshal, and Public Works Services Director, or
their respective designees.
PLANNING COMMISSION
The Planning Commission reviewed this project at its meeting on January 14, 2025, and
agreed that the location was well-suited for a mixed-use development, given its proximity
to the Metro station. They also confirmed that the project met all minimum requirements,
including parking, and would enhance the vibrancy of the corner of Santa Anita Avenue
and Huntington Drive.
The Appellant’s representative, Chase Preciado, attended the meeting on behalf of
Lozeau Drury LLP and spoke on behalf of the Supporters Alliance for Environmental
Responsibility (“SAFER”). Mr. Preciado expressed concerns regarding the Mitigated
Negative Declaration (“MND”) and noted that his team had submitted a letter during the
MND’s comment period. A response to SAFER’s letter was provided to the
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Commissioners as part of the agenda packet. Ms. Neary, from the Psomas Environmental
firm, also spoke at the meeting, explaining to the Planning Commission why the project
did not warrant an Environmental Impact Report (“EIR”) and how all identified impacts
were considered less than significant. There were no additional public speakers and no
comments from the surrounding residents or businesses other than letters of support from
the Downtown Arcadia Improvement Association and California Housing Defense Fund
(“CalHDF”) – refer to Attachment No. 4.
The Planning Commission approved the project with a unanimous 4-0 vote, with
Commissioner Arvizu absent. They confirmed that all applicable findings supported the
project's approval. The Commission also determined that the Appellant's comments did
not change the environmental determination. The MND concludes that the project will
have less-than-significant impacts with mitigation measures, and this conclusion remains
unchanged. A full description of the project and the approved Planning Commission
minutes can be found in Attachment No. 4.
ENVIRONMENTAL ANALYSIS
In accordance with the California Environmental Quality Act (“CEQA”), an Initial Study
and Mitigated Negative Declaration (“IS/MND”) was prepared for the Arcadia Town
Center (see Attachment No. 5). The IS/MND concluded that, with the implementation of
mitigation measures, the project would result in less-than-significant impacts in the areas
of Cultural Resources, Hazards & Hazardous Materials, Noise, Transportation, Utilities
and Service Systems, and Tribal Cultural Resources. A thorough review is provided in
the Initial Study and the mitigation measures are incorporated as Conditions of Approval
(Nos. 53-59) for the project. To ensure compliance with these measures, a Mitigation
Monitoring and Reporting Program (“MMRP”) will be implemented.
FISCAL IMPACT
While a direct estimate of the impact is not available, the Project will have a positive
revenue impact in that additional property taxes will be collected due to the substantial
increase in appraised value for the subject site. The Project will also generate User Fees,
Park Impact Fees, Transportation Impact Fees, and building permit revenue. Following
construction, a modest increase in sales taxes will be expected as a result of the
commercial component of the Project. Ancillary fiscal benefit will also result from the
spending patterns of new residents in Downtown Arcadia, which will have both private
and public fiscal benefits. It is not known if the revenue enhancements will fully offset the
demand for services from the residents and businesses on the site; however, multifamily
units of the type proposed generally do not have a high demand for public services.
The City will upgrade the sewer system to meet increased demand. The Applicant is
required to contribute 9% of the total cost for the Santa Anita Avenue sewer upsizing,
which involves replacing the sewer line between Huntington Drive and Camino Real
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Avenue with a 12-inch diameter line. The sewer upsizing project will be implemented in
three phases as part of the City’s Capital Improvement Plan. Any future projects along
this corridor will also be required to contribute their fair share toward this improvement.
RECOMMENDATION
It is recommended that the City Council Adopt Resolution No. 7618 denying the appeal
and upholding the Planning Commission's approval of the Arcadia Town Center Mixed-
Use Development with 181 residential units and 13,130 square feet of commercial space,
which includes a Tentative Tract Map, Minor Use Permit, Site Plan & Design Review, and
Certificate of Demolition at 5-19 W. Huntington Drive and 25-75 N. Santa Anita Avenue,
subject to the following conditions of approval and mitigation measures.
1. The project shall be developed and maintained by the Property Owner/Applicant in
a manner that is consistent with the plans submitted and recommended for approval
to the City Council for Minor Use Permit No. MUP 19-11, Tentative Tract Map No.
TTM 21-02 (83325), Site Plan & Design Review No. ADR 19-09, and Certificate of
Demolition No. COD 22-25, subject to the satisfaction of the Deputy Development
Services Director or designee. Noncompliance with the conditions of approval shall
be grounds for immediate suspension or revocation of any approvals. Any minor
changes to the development, including the outdoor dining area, may be approved
administratively by the Deputy Development Services Director.
2. The Property Owner/Applicant shall submit a haul route map and staging plan to
Planning Services prior to issuance of a grading permit.
3. The Property Owner/Applicant shall be responsible for the repair of all damage to
public improvements in the public right-of-way resulting from construction related
activities, including, but not limited to, the movement and/or delivery of equipment,
materials, and soils to and/or from the site. This shall be determined by the City
Engineer and/or Public Works Services Director during construction and up until the
issuance of a Certificate of Occupancy.
4. A comprehensive landscaping plan consistent with the conceptual landscape plan,
approved as part of the project, must be submitted to Building Services for plan
check and must be prepared by a licensed landscape architect, subject to the
approval of the Deputy Development Services Director or their designee.
5. Grading plans shall be submitted to Building Services. The grading plans shall
indicate all site improvements and shall indicate complete drainage paths of all
drainage water run-off.
6. Prior to issuance of a building permit, the Property Owner/Applicant must submit a
parking management plan to the Planning Division outlining the allocation of the
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parking for the residential units. This Plan shall be reviewed and approved by the
Deputy Development Services Director, or their designee.
7. The project shall comply with the latest adopted edition of the following codes as
applicable:
• California Building Code
• California Electrical Code
• California Mechanical Code
• California Plumbing Code
• California Energy Code
• California Fire Code
• California Green Building Standards Code
• California Existing Building Code
• Arcadia Municipal Code
8. The project shall comply with Chapter 35A Multiple Family Construction Standards
in Arcadia Municipal Code Section 8130.20.
9. Prior to approval of the Final Tract Map, a dedication along the right-of-way of
Santa Anita Avenue shall be dedicated to the City to accommodate a 10-foot
parkway for sidewalk and utility purposes, and at the corner of Santa Anita Avenue
and Morlan Place to provide a corner cut-off for a standard accessible access
ramp.
10. Prior to approval of the Final Tract Map, a dedication of 1’-6” along the right-of-way
of Huntington Drive shall be dedicated to the City to accommodate a 13’-6” wide
parkway for sidewalk and utility purposes.
11. All above ground utilities serving the site shall be removed, including all utility poles
along property boundaries, and all new utility services shall be placed
underground.
12. Prior to approval of the Final Tract Map or the issuance of a demolition permit,
whichever comes first, the Property Owner/Applicant shall either construct or post
security for all public improvements shown on the Tentative Tract Map No. 83325,
and the following item(s):
• Remove and replace existing sidewalk, curb, and gutter along all property
frontages, from property line to property line, to the satisfaction of the City
Engineer.
• Remove and replace all driveway approaches per City standard plan.
• Coordinate with Public Works Services on the protection or replacement of
street trees.
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13. A 16” welded steel water main with 56 PSI static pressure is available on
Huntington Drive and a 6” cast iron water main with 53 PSI static pressure is
available on Morlan Place. Both mains are available for domestic water and/or fire
service. The Applicant/Property Owner shall provide calculations to determine the
maximum domestic demand, maximum commercial demand, and maximum fire
demand in order to verify the required sizes of water services.
14. The Property Owner/Applicant shall provide separate water services and meters
for each separate structure as well as designated services for specific residential,
commercial, and irrigation uses. Domestic water service for residential
condominiums shall be provided by a common master meter, with an approved
reduced pressure backflow device for meter services protection.
15. An approved back flow prevention device shall be installed for commercial use.
16. In the event that fire suppression is common to the complex, a separate fire service
with Double Check Detector Assembly (“DCDA”) shall be required as directed by
the Fire Marshal. Fire protection requirements shall be as stipulated by the Arcadia
Fire Department and shall be conformed to the Arcadia Standard Plan. All fire
services shall be isolated from domestic water services with approved back flow
prevention devices.
17. A Water Meter Clearance Application shall be submitted to the Public Works
Services Department prior to final plan check approval.
18. New water service installations shall be installed by the Applicant/Property Owner.
Installation shall be according to the specifications of the Public Works Services
Department, Engineering Division. Abandonment of existing water services, if
necessary, shall be carried out by the Applicant/Property Owner, according to
Public Works Services Department, Engineering Division specifications.
19. The Property Owner/Applicant shall utilize existing sewer laterals, if possible. If
any drainage fixture is lower than the elevation of the next upstream manhole
cover, an approved type of backwater valve is required to be installed behind the
property line.
20. Prior to a Certificate of Occupancy being issued for the project, the
Applicant/Property Owner shall make a fair share contribution to the sewer line
upsizing project along Santa Anita Avenue. This fair share payment is
memorialized as Mitigation Measure UTL-1.
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21. The Property Owner/Applicant shall plant 36-inch box trees in tree wells, with
irrigation on Santa Anita Avenue and Morlan Place. Locations of the tree wells and
species of trees are to be determined by the Public Works Services Inspector.
22. The Property Owner/Applicant shall file a Notice of Intent (“NOI”) with the State
Water Resources Control Board for a General Construction NPDES Permit, due
to the proposed project exceeding one acre of disturbed land. The NOI must
include items such as the preparation of a Stormwater Pollution Prevention Plan,
applicable fees, and other required documentation. The City will not approve any
grading plans until a Waste Discharger Identification number has been issued by
the State.
23. The proposed project is subject to low impact development (“LID”) requirements.
The Property Owner/Applicant shall integrate LID strategies into the site design.
These strategies include using infiltration trenches, bioretention planter boxes, roof
drains connected to a landscaped area, pervious concrete/paver, etc.
24. Trash/recycling bins shall be configured to provide easy access for trash collection
services. There should be 1-foot clearance around the trash bins/recycling bins
and all bins/carts shall meet the specifications of the Public Works Services
Department. At a minimum, trash enclosure areas should accommodate three
containers: a 3-yard bin for trash, 3-yard bin for recycling, and 69/96 gallon sized
carts for organics recycling. The roof clearance for the trash enclosure must be at
least 10 feet high.
25. All building areas shall be fully fire-sprinklered per the City of Arcadia Fire
Department Commercial Sprinkler Standard. The sprinkler systems serving
commercial areas and residential areas shall be segregated. The fire sprinkler
system shall be monitored by a UL listed central station. Notification appliances
shall be provided in all common areas. Visual appliances shall be provided in any
residential units classified as being accessible.
26. Class I standpipes shall be provided on all floors inside stairwells and shall extend
to the roof. Additional standpipes may be required for the building interior.
27. Knox boxes shall be provided for all lobby areas. Any automatic gates used in
parking areas shall be equipped with a Knox switch.
28. Minimum 2A:10BC fire extinguishers shall be provided in all common areas. A
maximum travel distance of 75 feet shall be provided to fire extinguishers.
29. A minimum of one Emergency Medical Services (“EMS”) elevator shall be
required.
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30. An Emergency Responder Radio Coverage System shall be provided.
31. The minimum required fire flow for the site shall be 1,500 GPM at 20 PSI.
32. All required exit stairwells shall be designed in an approved manner to allow the
segregation of the commercial floors from the residential floors.
33. Three new public fire hydrants shall be provided. One hydrant shall be provided
on the west side of the street frontage on Huntington Drive. Two fire hydrants shall
be provided on the street frontage of Santa Anita Avenue at approved locations.
34. The Property Owner/Applicant shall prepare a Lighting Plan that provides the type
and location of proposed exterior lighting and signage, subject to the review and
approval of the City’s Development Services Department. All new lighting will be
shielded and down-cast, such that the light is not cast onto adjacent properties or
visible from above, and all new lighting shall be reviewed to ensure compliance
with the standards codified in Section 9103.01 of the City of Arcadia Development
Code.
35. The Project shall be conducted in compliance with all applicable South Coast Air
Quality Management District (“SCAQMD”) rules and permitting requirements,
including but not limited to:
• SCAQMD Rule 403, Fugitive Dust, for controlling fugitive dust and
avoiding nuisance. Compliance with this rule will reduce short-term
particulate pollutant emissions.
• SCAQMD Rule 402, Nuisance, which states that a Project will not
“discharge from any source whatsoever such quantities of air
contaminants or other material which cause injury, detriment,
nuisance, or annoyance to any considerable number of persons or to
the public, or which endanger the comfort, repose, health or safety of
any such persons or the public, or which cause, or have a natural
tendency to cause, injury or damage to business or property.”
• SCAQMD Rule 1113, Architectural Coatings, which limits the volatile
organic content (“VOC”) of architectural coatings used for the Project.
36. Prior to approval of grading plans, the Development Services Department shall
verify that the following note is included on the contractor specifications to ensure
compliance with the Migratory Bird Treaty Act (“MBTA”): “To avoid impacts on
nesting birds, vegetation on the Project site should be cleared between September
1 and January 31. If vegetation clearing occurs during the peak nesting season
(between February 1 and August 31), a pre-construction survey shall be conducted
by a qualified biologist to identify if there are any active nesting locations. If the
biologist does not find any active nests within the impact area, the vegetation
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clearing/construction work will be allowed. If the biologist finds an active nest within
the construction area and determines that the nest may be impacted by
construction activities, the biologist will delineate an appropriate buffer zone
around the nest depending on the species and the type of construction activity.
Construction activities shall be prohibited in the buffer zone until a qualified
biologist determines the nest is abandoned.”
37. As required by the City’s Comprehensive Tree Management Program, the Property
Owner/Applicant shall obtain a permit from the Arcadia Public Works Services
Department for the removal and planting of street trees associated with the Project.
The Property Owner/Applicant will abide by the standards set forth in the permit,
as well as standards contained in the Comprehensive Tree Management Program
and other applicable sections of the Arcadia Development and Municipal Codes.
38. The Property Owner/Applicant shall submit the Project’s landscape plans, which
will include the proposed locations and species of replacement street trees, to the
Arcadia Public Works Services Department for review. Street tree species will
consist of those set forth in the City’s Street Tree Master Plan.
39. If human remains are encountered during excavation activities, all work shall halt
in the immediate vicinity of the discovery and the Los Angeles County Coroner
shall be notified (California Public Resources Code §5097.98). The Coroner shall
determine whether the remains are of forensic interest. If the Coroner determines
that the remains are prehistoric, they will contact the Native American Heritage
Commission (“NAHC”). The NAHC shall be responsible for designating the most
likely descendant (“MLD”), who will be responsible for the ultimate disposition of
the remains, as required by Section 7050.5 of the California Health and Safety
Code. The MLD shall make their recommendation within 48 hours of being granted
access to the site. The MLD’s recommendation shall be followed if feasible, it may
include scientific removal and non-destructive analysis of the human remains and
any items associated with Native American burials (California Health and Safety
Code §7050.5). If the landowner rejects the MLD’s recommendations, the
landowner shall rebury the remains with appropriate dignity on the property in a
location that will not be subject to further subsurface disturbance (California Public
Resources Code §5097.98).
40. The Project shall be consistent with the Title 24 energy efficiency standards and
the mandatory requirements of the CALGreen Code. Construction activities shall
comply with idling requirements and maintenance requirements for on- and off-
road vehicles.
41. Geotechnical design considerations for Project implementation are governed by
the Arcadia Building Code, as set forth in Article VIII of the Arcadia Municipal Code,
which incorporates by reference the California Building Code (“CBC”), including
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the California Building, Plumbing, Mechanical, Electrical and Existing Building
Codes (CBSC 2022). Future buildings and structures shall be designed in
accordance with applicable requirements of the CBC, the Arcadia Municipal Code,
and any applicable building and seismic codes in effect at the time the grading
plans are approved.
42. Activities at the Project site shall comply with existing Federal, State, and local
regulations regarding hazardous material use, storage, disposal, and transport to
prevent Project-related risks to public health and safety. All on-site generated
waste that meets hazardous waste criteria shall be stored, manifested,
transported, and disposed of in accordance with the California Code of Regulations
(Title 22), and in a manner to the satisfaction of the local Certified Unified Program
Agency (“CUPA”), as applicable. Any hazardous materials removed from the
Project site shall be transported only by a Licensed Hazardous Waste Hauler, who
shall be in compliance with all applicable State and federal requirements, including
U.S. Department of Transportation regulations under Title 49 (Hazardous
Materials Transportation Act) and Title 40, Section 263 (Subtitle C of the Resource
Conservation and Recovery Act) of the Code of Federal Regulations; California
Department of Transportation (“Caltrans”) standards; and Division of Occupational
Safety and Health (“Cal/OSHA”) standards.
43. Prior to the issuance of a demolition permit, the Property Owner/Applicant shall
obtain coverage under the General Permit for Storm Water Discharges Associated
with the Construction and Land Disturbance Activities (Order No 2012-0006-DWQ,
NPDES No. CAS000002), which will require the development and implementation
of a project-specific Storm Water Pollution Prevention Plan (“SWPPP”).
44. The Property Owner/Applicant shall comply with all applicable codes, ordinances,
and regulations, including the most current edition of the California Fire Code and
the Arcadia Municipal and Development Codes, regarding fire prevention and
suppression measures; fire hydrants; fire access; water availability; and other
similar requirements. Prior to the issuance of building permits, the City of Arcadia
Development Services Department and the Arcadia Fire Department shall verify
compliance with applicable codes and that appropriate fire safety measures are
included in the Project design. All such codes and measures shall be implemented
prior to occupancy.
45. In accordance with the City’s Ordinance 7492, prior to the issuance of the building
permit, the Property Owner/Applicant shall remit the most current Fire Protection
Facilities Impact Fee to the City. All money collected as fees imposed shall be used
against the capital and infrastructure costs required to maintain acceptable life
safety and fire protection in the City. The Development Services Department shall
confirm compliance with this requirement prior to the issuance of a building permit.
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46. Prior to issuance of the building permit, the Property Owner/Applicant shall pay
new development fees to the Arcadia Unified School District (“AUSD”) pursuant to
Section 65995 of the California Government Code. As an option for the payment
of developer fees, AUSD and the Property Owner/Applicant can enter into a facility
and funding agreement, if approved by both parties. Evidence that agreements
have been executed shall be submitted to the Development Services Department,
or fees shall be paid with each building permit.
47. In accordance with the City’s Ordinance 2237 and Section 9105.15 of the City’s
Development Code, prior to the issuance of the building permit, the Property
Owner/Applicant shall remit the most current Park Facilities Impact Fee and/or
other negotiated park fees to the City. All money collected as fees imposed shall
be deposited in the Park Facilities Impact Fee Program and shall be used for the
acquisition, development, and improvement of public parks and recreational
facilities in the City, as proposed by the City’s Parks and Recreation Master Plan.
The Development Services Department shall confirm compliance with this
requirement prior to the issuance of a building permit.
48. The Property Owner/Applicant shall contribute, on a cost-share basis, to the City’s
traffic mitigation system for any intersections affected by the Project, as defined in
the approved Traffic Impact Study (Traffic Impact Study for the Arcadia Town
Center Project, Psomas, September 2024).
49. The Property Owner/Applicant shall comply with all applicable regulations and
restrictions set forth in the Arcadia Municipal Code, including Section 7472
regarding restrictions on discharges into the sewer, and Section 5130 regarding
achievement of annual waste diversion rates and other applicable requirements in
compliance with, but not limited to, Assembly Bill 939, Assembly Bill 341, and
Assembly Bill 1826.
50. All City requirements regarding disabled access and facilities, occupancy limits,
building safety, health code compliance, emergency equipment, environmental
regulation compliance, and parking and site design shall be complied with to the
satisfaction of the Building Official, City Engineer, Deputy Development Services
Director, Fire Marshal, and Public Works Services Director. Any changes to the
existing facility may be subject to having fully detailed plans submitted for plan
check review and approval by the aforementioned City officials and employees,
and may subject to separate building permits.
51. To the maximum extent permitted by law, the Applicant must defend, indemnify,
and hold the City, any departments, agencies, divisions, boards, and/or
commissions of the City, and its elected officials, officers, contractors serving as
City officials, agents, employees, and attorneys of the City (“Indemnitees”)
harmless from liability for damages and/or claims, actions, or proceedings for
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damages for personal injuries, including death, and claims for property damage,
and with respect to all other actions and liabilities for damages caused or alleged
to have been caused by reason of the Applicant’s activities in connection with MUP
19-11, TTM 21-02, ADR 19-09, and COD 22-25 (“Project”) on the Project site, and
which may arise from the direct or indirect operations of the Applicant or those of
the Applicant’s contractors, agents, tenants, employees or any other persons
acting on Applicant’s behalf, which relate to the development and/or construction
of the Project. This indemnity provision applies to all damages and claims, actions,
or proceedings for damages, as described above, regardless of whether the City
prepared, supplied, or approved the plans, specifications, or other documents for
the Project
52. In the event of any legal action challenging the validity, applicability, or
interpretation of any provision of this approval, or any other supporting document
relating to the Project, the City will promptly notify the Applicant of the claim, action,
or proceedings, and will fully cooperate in the defense of the matter. Once notified,
the Applicant must indemnify, defend and hold harmless the Indemnitees, and
each of them, with respect to all liability, costs and expenses incurred by, and/or
awarded against, the City or any of the Indemnitees in relation to such action.
Within 15 days’ notice from the City of any such action, the Applicant shall provide
to the City a cash deposit to cover legal fees, costs, and expenses incurred by City
in connection with defense of any legal action in an initial amount to be reasonably
determined by the City Attorney. The City may draw funds from the deposit for
such fees, costs, and expenses. Within 5 business days of each and every notice
from the City that the deposit has fallen below the initial amount, the Applicant shall
replenish the deposit each and every time, in order for City’s legal team to continue
working on the matter. The City shall only refund to the Developer any unexpended
funds from the deposit within 30 days of: (i) a final, non-appealable decision by a
court of competent jurisdiction resolving the legal action; or (ii) full and complete
settlement of legal action. The City shall have the right to select legal counsel of
its choice that the Applicant reasonably approves. The parties hereby agree to
cooperate in defending such action. The City will not voluntarily assist in any such
third-party challenge(s) or take any position adverse to the Applicant in connection
with such third-party challenge(s). In consideration for approval of the Project, this
condition shall remain in effect if the entitlement(s) related to this Project are
rescinded or revoked, at the request of the Applicant or not.
Mitigation Measures as Conditions of Approval
The following conditions are found in the Mitigation Monitoring and Reporting Program
(“MMRP”). They are recorded here to facilitate review and implementation. More
information on the timing and responsible parties for these mitigation measures is
detailed in the MMRP.
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53. MM CUL-1. Prior to the issuance of a demolition permit, the Property
Owner/Applicant shall submit the name and qualifications of a qualified
archaeologist to the City of Arcadia Development Services Department for review
and approval. Once approved, the qualified archaeologist shall be retained by the
Project Applicant/Developer. If suspected cultural (archaeological) resources or
tribal cultural resources are inadvertently unearthed during excavation activities,
the contractor shall immediately cease all earth-disturbing activities within a 100-
foot radius of the area of discovery. The Project contractor or Property
Owner/Applicant shall contact the qualified archaeologist to request an evaluation
of the significance of the find and determine an appropriate course of action. If
avoidance of the resource(s) is not feasible, salvage operation requirements
pursuant to Section 15064.5 of the State California Environmental Quality Act
Guidelines shall be followed. After the find has been appropriately avoided or
mitigated, work in the area may resume.
54. MM NOI-1. The Property Owner/Applicant shall require that all construction
contractors restrict the operation of the following construction equipment to beyond
the following distances from off-site buildings: (1) vibratory rollers – 25 feet, and
(2) Caisson drilling, large bulldozers, loaded trucks, and other large equipment
(vehicle weight greater than 25,000 lbs.) – 15 feet. Any activities occurring within
5 feet of existing property line shall use non-vibration intensive methods such as
the use of concrete saws, universal processors, and/or expansive agents for
demolition.
55. MM TRANS-1. Prior to the issuance of a grading permit, a Construction
Management Plan shall be prepared by the Property Owner/Applicant for the
review and approval of the City of Arcadia, and any other affected jurisdictions in
accordance with the Manual on Uniform Traffic Control Devices (“MUTCD”).
Construction activities shall comply with the approved plan to the satisfaction of
the City of Arcadia. The Property Owner/Applicant shall begin coordination with
the City on the Construction Management Plan as soon as practicable during the
final design process and in advance of construction so that effective measures can
be developed to avoid, minimize, and mitigate construction impacts to parking and
circulation within Downtown Arcadia.
At a minimum, the Construction Management Plan shall:
• Describe the duration and location of lane closures (if any).
• Address traffic control for any partial street closures, detours, or other
disruption to traffic circulation during project construction, including as
needed, use of flag persons and signage.
Arcadia Town Center
March 18, 2025
Page 28 of 31
• Identify the routes that construction vehicles would utilize for the delivery of
construction materials to access the project site. Haul routes would follow
the City’s approved truck routes and avoid residential streets.
• Identify the location of parking and materials storage for construction
workers during all phases of construction. Parking for construction workers
would be provided on-site or at additional off-site locations that are not on
public streets.
• Identify emergency access points/routes.
• Specify the hours during which transport activities can occur and methods
to mitigate construction-related impacts to adjacent streets.
• Require the contractor to keep all haul routes clean and free of debris
including, but not limited to, gravel and dirt as a result of its operations. The
contractor shall clean adjacent streets, as directed by the City Engineer (or
representative of the City Engineer), of any material that may have been
spilled, tracked, or blown onto adjacent streets or areas.
• All hauling or transport of oversize loads would occur between the hours of
7:00 AM and 5:00 PM only, Monday through Friday, unless approved
otherwise by the City Engineer. No hauling or transport shall be allowed
during nighttime hours, weekends or Federal holidays.
• Include details on the maintenance of bicycle and pedestrian facilities and
connectivity through the Project to the satisfaction of the City Engineer.
• Require that haul trucks entering or exiting public streets shall at all times
yield to public traffic, pedestrians, bicyclists, and other users.
• Provisions for the contractor to repair existing pavement, streets, curbs,
sidewalks, and/or gutters that may be altered during project construction.
The repairs shall be completed in consultation with and to the satisfaction
of the City Engineer.
• Require that all construction-related parking and staging of vehicles will be
kept out of the adjacent public roadways and will occur either on-site, or on
designated off-site parcels that would not adversely affect access or parking
within the Downtown.
56. MM TCR-1. A Native American Monitor shall be retained prior to commencement
of ground-disturbing activities:
Arcadia Town Center
March 18, 2025
Page 29 of 31
A. The Property Owner/Applicant shall retain a Native American Monitor from
or approved by the Gabrieleño Band of Mission Indians – Kizh Nation. The
monitor shall be retained prior to the commencement of any “ground-
disturbing activity” for the subject project at all project locations (i.e., both
on-site and any off-site locations that are included in the project
description/definition and/or required in connection with the project, such
as public improvement work). “Ground-disturbing activity” shall include,
but is not limited to, demolition, pavement removal, potholing, auguring,
grubbing, tree removal, boring, grading, excavation, drilling, and
trenching.
B. A copy of the executed monitoring agreement shall be submitted to the
lead agency prior to the commencement of any ground disturbing activity
or the issuance of any permit necessary to commence a ground-disturbing
activity.
C. The monitor will complete daily monitoring logs that will provide
descriptions of the relevant ground-disturbing activities, the type of
construction activities performed, locations of ground disturbing activities,
soil types, cultural-related materials, and any other facts, conditions,
materials, or discoveries of significance to the Tribe. Monitor logs will
identify and describe any discovered TCRs, including but not limited to,
Native American cultural and historical artifacts, remains, places of
significance, etc., (collectively, tribal cultural resources, or “TCR”), as well
as any discovered Native American (ancestral) human remains and burial
goods. Copies of monitor logs will be provided to the project applicant/lead
agency upon written request to the Tribe.
D. On-site tribal monitoring shall conclude upon the latter of the following: (1)
written confirmation to the Kizh from a designated point of contact for the
project applicant/lead agency that all ground disturbing activities and
phases that may involve ground-disturbing activities on the project site or
in connection with the project, are complete; or (2) a determination and
written notification by the Kizh to the project applicant/lead agency that no
future, planned construction activity and/or development/construction
phase at the project site possesses the potential to impact Kizh TCRs.
57. MM TCR-2. Unanticipated Discovery of Tribal Cultural Resource Objects (Non-
Funerary/Non-Ceremonial): Upon discovery of any TCRs, all construction activities
in the immediate vicinity of the discovery shall cease (i.e., not less than the
surrounding 50 feet) and shall not resume until the discovered TCR has been fully
assessed by the Kizh monitor and/or Kizh archaeologist. The Kizh will recover and
retain all discovered TCRs in the form and/or manner the Tribe deems appropriate,
Arcadia Town Center
March 18, 2025
Page 30 of 31
in the Tribe’s sole discretion, and for any purpose the Tribe deems appropriate,
including for educational, cultural and/or historic purposes.
58. MM TCR-3. Unanticipated Discovery of Human Remains and Associated Funerary
or Ceremonial Objects:
A. Native American human remains are defined in PRC 5097.98 (d)(1) as an
inhumation or cremation, and in any state of decomposition or skeletal
completeness. Funerary objects, called associated grave goods in Public
Resources Code Section 5097.98, are also to be treated according to this
statute.
B. If Native American human remains and/or grave goods are discovered or
recognized on the project site, then Public Resource Code 5097.9 as well as
Health and Safety Code Section 7050.5 shall be followed.
C. Human remains and grave/burial goods shall be treated alike according to the
California Public Resources Code section 5097.98(d)(1) and (2).
D. Preservation in place (i.e., avoidance) is the preferred manner of treatment for
discovered human remains and/or burial goods.
E. Any discovery of human remains/burial goods shall be kept confidential to
prevent further disturbance.
59. MM UTIL-1. Sewer Upsizing Fair Share Payment. Prior to issuance of a Certificate
of Occupancy permit for the Project, the Property Owner/Applicant shall make a fair
share contribution of nine percent (9%) of the total Santa Anita Avenue Sewer
Upsizing Project cost to the City’s Development Services Department. This
payment shall help fund replacing the existing sewer line on Santa Anita Avenue,
between Huntington Drive and Camino Real Avenue, with 12-inch diameter
pipelines. The Santa Anita Avenue Sewer Upsizing Project shall be split into three
phases and included in the City's Fiscal Year 2024-25, 2025-26, and 2026-27
Capital Improvement Plan budgets, respectively. The sewer work is expected to be
completed by the City's Public Works Services Department by the end of the 2026-
27 Fiscal Year. A Certificate of Occupancy shall not be issued until all phases of
the Santa Anita Avenue Sewer Upsizing Project are fully implemented. This
measure shall be implemented to the satisfaction of the City Public Works Services
Department, as appropriate.
Arcadia Town Center
March 18, 2025
Page 31 of 31
Attachment No. 1: Resolution No. 7618
Attachment No. 2: Appeal Letter, dated January 24, 2025, Original Comment Letter
from the Appellant, dated December 20, 2025, and Response to the
comments
Attachment No. 3: Architectural Plans and TTM 21-02 (83325)
Attachment No. 4: Planning Commission Minutes, Staff Report, dated January 14, 2024
(Without Attachments) and Letters of Support
Attachment No. 5: Response to Comments to the Appeal letter and the Draft MMRP
and Initial Study/Mitigated Negative Declaration (“IS/MND”). The
Appendices to the IS/MND can be found under the Arcadia Town
Center Project at: www.arcadiaca.gov/significantprojects
Attachment No. 1
Attachment No. 1
Resolution No. 7618
RESOLUTION NO. 7618
A RESOLUTION OF THE CITY COUNCIL OF THE CITY OF ARCADIA,
CALIFORNIA, DENYING THE APPEAL AND UPHOLDING THE
PLANNING COMMISSION'S APPROVAL OF THE ARCADIA TOWN
CENTER MIXED-USE DEVELOPMENT, INCLUDING 181 RESIDENTIAL
UNITS AND 13,130 SQUARE FEET OF COMMERCIAL SPACE;
APPROVING ASSOCIATED ENTITLEMENTS {TENTATIVE TRACT MAP
NO. TTM 21-02 (83325), MINOR USE PERMIT NO. MUP 19-11, SITE
PLAN & DESIGN REVIEW NO. ADR 19-09, AND CERTIFICATE OF
DEMOLITION NO. COD 22-25) FOR THE PROPERTY LOCATED
AT 5-19 W. HUNTINGTON DRIVE AND 25-75 N. SANTA ANITA
AVENUE; AND ADOPTING THE INITIAL STUDY/MITIGATED
NEGATIVE DECLARATION ("MND") PURSUANT TO THE CALIFORNIA
ENVIRONMENTAL QUALITY ACT ("CEQA")
WHEREAS, on August 29, 2019, September 3, 2019, January 8, 2021, and
November 3, 2022, applications for Architectural Design Review No. ADR 19-09, Minor
Use Permit No. MUP 19-11, Tentative Tract Map No. TTM 21-02 (83325), and Certificate
of Demolition No. COD 22-25 were filed concurrently by New World International, LLC
("Property Owner/Applicant") to construct the "Arcadia Town Center," a new mixed-use
development at 5-19 W. Huntington Drive and 25-75 N. Santa Anita Avenue. The
proposal is to consolidate five legal lots into a single parcel to accommodate a new five
story, mixed-use building that will consist of 181 residential units, 13,130 square feet of
ground-floor commercial space, and 378 parking spaces within one level of subterranean
parking and one level of ground level parking. The request also includes incidental
outdoor dining for the restaurant uses on the ground level (collectively referred to as the
"Arcadia Town Center''); and
WHEREAS, in accordance with the CEQA guidelines, a Draft Initial
Study/Mitigated Negative Declaration ("IS/MND") was prepared to consider the
environmental impacts of the Project and was circulated for public review and comment
1
Attachment No. 2
Attachment No. 2
Appeal Letter dated January 24, 2025,
Original Comment Letter from the
Appellant, dated December 20, 2024, and
Response to the Comments dated January,
2025
VIA ONLINE PORTAL
January 24, 2025
Edwin Arreola, Senior Planner
Planning & Zoning Division
Development Services Department
City of Arcadia
240 West Huntington Drive
P.O. Box 60021
Arcadia, CA 91066
earreola@arcadiaca.gov
Re: Appeal to the Arcadia City Council
Arcadia Town Center Project (Resolution No. 2164, MUP 19-11, TTM 21-02
(83325), ADR 19-09, COD 22-25)
Dear Mr. Arreola,
This appeal letter is submitted on behalf of Supporters Alliance for Environmental
Responsibility (“SAFER”) and its members living and/or working in or around the City of
Arcadia to appeal the proposed Arcadia Town Center Project (“Project”) to the Arcadia City
Council.
SAFER hereby appeals the entirety of the Arcadia Planning Commission’s January 14,
2025, decision to approve Resolution No. 2164, adopting the Mitigated Negative Declaration
(MND) and approving MUP 19-11, TTM 21-02 (83325), ADR 19-09, and COD 22-25 for the
Project.
The reasons and grounds for the appeal are contained in SAFER’s comment letter to the
Planning Commission attached hereto as ATTACHMENT 1.
Sincerely,
Hayley Uno
LOZEAU DRURY LLP
ATTACHMENT 1
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1
Shawn Smallwood, PhD
3108 Finch Street
Davis, CA 95616
Attn. Edwin Arreola, Senior Planner
City of Arcadia
Development Services Department
240 West Huntington Drive
Arcadia, California 91066 12 December 2024
RE: Arcadia Town Center
Dear Mr. Arreola,
I write to comment on potential impacts to biological resources from the proposed
Arcadia Town Center project, which I understand would add a five-story, 440,938
square-foot mixed-use building on 2.27 acres located on the corner of Huntington Dr.
and N Santa Anita Ave. in Arcadia, CA. I comment on the analyses of impacts to
biological resources in the Initial Study/Mitigated Negative Declaration (IS/MND) (City
of Arcadia 2024).
My qualifications for preparing expert comments are the following. I hold a Ph.D.
degree in Ecology from University of California at Davis, where I also worked as a post-
graduate researcher in the Department of Agronomy and Range Sciences. My research
has been on animal density and distribution, habitat selection, wildlife interactions with
the anthrosphere, and conservation of rare and endangered species. I authored many
papers on these and other topics. I served as Chair of the Conservation Affairs
Committee for The Wildlife Society – Western Section. I am a member of The Wildlife
Society and Raptor Research Foundation, and I’ve lectured part-time at California State
University, Sacramento. I was Associate Editor of wildlife biology’s premier scientific
journal, The Journal of Wildlife Management, as well as of Biological Conservation, and
I was on the Editorial Board of Environmental Management. I have performed wildlife
surveys in California for thirty-seven years. My CV is attached.
SITE VISIT
On my behalf, Noriko Smallwood, a wildlife biologist with a Master’s Degree from
California State University Los Angeles, visited the site of the proposed project for 2.8
hours from 06:47 to 09:35 hours on 6 December 2024. She walked the site’s perimeter,
stopping to scan for wildlife with use of binoculars. Noriko recorded all species of
vertebrate wildlife she detected, including those whose members flew over the site or
were seen nearby, off the site. Animals of uncertain species identity were either omitted
or, if possible, recorded to the Genus or higher taxonomic level.
Conditions were sunny with 3 MPH northeast wind and temperatures of 52-63° F. The
site contains unoccupied office and commercial buildings and a parking lot, with
multiple ornamental trees and shrubs (Photos 1-3).
2
Photos 1 and 2. Views of the project site, 6 December 2024. Photos by Noriko
Smallwood.
Noriko saw Cooper’s hawk and peregrine falcon (Photos 3 and 4), Anna’s hummingbird
(Photos 5 and 12), house finch and red-crowned parrot (Photos 6 and 7), American crow
and black phoebe (Photos 8 and 9), acorn woodpecker (Photo 10), Allen’s hummingbird
(Photo 11), western bluebird and yellow-rumped warbler (Photos 13 and 14), northern
rough-winged swallow and California gull (Photos 15 and 16), mourning dove and band-
tailed pigeon (Photos 17 and 18), northern mockingbird (Photos 19 and 20), eastern fox
squirrel (Photo 21), among the other species listed in Table 1. Noriko detected 25 species
of vertebrate wildlife at or adjacent to the project site, including six species with special
status (Table 1).
Noriko Smallwood certifies that the foregoing and following survey results are true and
accurately reported.
3
Photos 3 and 4. Cooper’s hawk (left), and peregrine falcon (right) flying over the
project site, 6 December 2024. Photos by Noriko Smallwood.
Photo 5. Anna’s hummingbird on the project site, 6 December 2024. Photo by Noriko
Smallwood.
4
Photos 6 and 7. House finch (left) and red-crowned parrot (right) on the project site,
6 December 2024. Photos by Noriko Smallwood.
Photos 8 and 9. American crow with a piece of bread (left), and black phoebe (right)
on the project site, 6 December 2024. Photos by Noriko Smallwood.
5
Photo 10. Acorn woodpeckers just off of the project site, 6 December 2024. Photos by
Noriko Smallwood.
Photos 11 and 12. Allen’s hummingbird (left), and Anna’s hummingbird (right) on
the project site, 6 December 2024. Photos by Noriko Smallwood.
6
Photos 13 and 14. Western bluebird just off of the project site (left), and yellow-
rumped warbler on the project site (right), 6 December 2024. Photos by Noriko
Smallwood.
Photos 15 and 16. Northern rough-winged swallow (left), and California gull (right)
on the project site, 6 December 2024. Photos by Noriko Smallwood.
7
Photos 17 and 18. Mourning dove (left) and band-tailed pigeon (right) flying over
the project site, 6 December 2024. Photos by Noriko Smallwood.
Photos 19 and 20. Northern mockingbird on the project site, 6 December 2024.
Photos by Noriko Smallwood.
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Photo 21. Eastern fox squirrel just off the project site, 6 December 2024. Photo by
Noriko Smallwood.
Table 1. Species of wildlife Noriko observed during 2.8 hours of survey on 6 December 2024.
Common name Species name Status1 Notes
Rock pigeon Columba livia Non-native Flew over
Band-tailed pigeon Patagioenas fasciata Flew over
Mourning dove Zenaida macroura Flew over
Anna’s hummingbird Calypte anna
Territorial; chased NRWS and
ALHU
Allen’s hummingbird Selasphorus sasin BCC Perched and flew over
California gull Larus californicus BCC, WL 3 flew over
Cooper’s hawk Accipiter cooperii WL, BOP Chased BTPI on site
Red-tailed hawk Buteo jamaicensis BOP Just off site
Acorn woodpecker Melanerpes formicivorus Collected acorns
Nuttall’s woodpecker Picoides nuttallii BCC Just off site
Peregrine falcon Falco peregrinus BOP Flew over, perched nearby
Red-crowned parrot Amazona viridigenalis Many
Black phoebe Sayornis nigricans Perched, foraged
American crow Corvus brachyrhynchos Many
Common raven Corvus corax Flew over
Northern rough-winged
swallow
Stelgidopteryx
serripennis Foraged, perched on site
9
Common name Species name Status1 Notes
Bushtit Psaltriparus minimus Foraged on site
Ruby-crowned kinglet Regulus calendula Just off site
Northern mockingbird Mimus polyglottos Perched
European starling Sturnus vulgaris Non-native Flock flew over
Western bluebird Sialia mexicana Perched
House finch Haemorphous mexicanus Perched, socialized
Yellow-rumped warbler Setophaga coronata Foraged
Desert cottontail Sylvilagus audubonii Scat
Eastern fox squirrel Sciurus niger Non-native Just off site
1 Listed as BCC = U.S. Fish and Wildlife Service Bird of Conservation Concern, WL = Taxa to Watch
List (Shuford and Gardali 2008), and BOP = Birds of Prey (California Fish and Game Code 3503.5).
The species of wildlife Noriko detected at the project site comprised only a sampling of
the species that were present during her survey. To demonstrate this, I fit a nonlinear
regression model to Noriko’s cumulative number of vertebrate species detected with
time into her survey to predict the number of species that she would have detected with
a longer survey or perhaps with additional biologists available to assist her. The model is
a logistic growth model which reaches an asymptote that corresponds with the
maximum number of vertebrate wildlife species that could have been detected during
the survey. In this case, the model fit to her survey predicts 50 species of vertebrate
wildlife were available to be detected during that morning, or twice the number of
species she actually detected (Figure 1).
Unknown are the identities of those species Noriko missed, but the pattern in her data
indicates relatively high use of the project site compared to 38 other south-coast sites
she and I have surveyed in California. Noriko’s rate of detections of species at the project
site tracked the 95% confidence interval estimated from other surveys in California’s
south coast region (Figure 1). Importantly, however, the species Noriko did and did not
detect on 6 December 2024 composed only a fraction of the species that would occur at
the project site over the period of a year or longer. This is because many species are
seasonal in their occurrence.
At least a year’s worth of surveys would be needed to more accurately report the number
of vertebrate species that occur at the project site, but I only have Noriko’s one survey.
However, by use of an analytical bridge, a modeling effort applied to a large, robust data
set from a research site can predict the number of vertebrate wildlife species that likely
make use of the site over the longer term. As part of my research, I completed a much
larger survey effort across 167 km2 of annual grasslands of the Altamont Pass Wind
Resource Area, where from 2015 through 2019 I performed 721 1-hour visual-scan
surveys, or 721 hours of surveys, at 46 stations. I used binoculars and otherwise the
methods were the same as the methods I and other consulting biologists use for surveys
at proposed project sites. At each of the 46 survey stations, I tallied new species detected
with each sequential survey at that station, and then related the cumulative species
detected to the hours (number of surveys, as each survey lasted 1 hour) used to
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accumulate my counts of species detected. I used combined quadratic and simplex
methods of estimation in Statistica to estimate least-squares, best-fit nonlinear models
of the number of cumulative species detected regressed on hours of survey (number of
surveys) at the station: ܴ =ଵ
ଵ ൗା×(ு௨௦) , where ܴ represented cumulative species
richness detected. The coefficients of determination, r2, of the models ranged 0.88 to
1.00, with a mean of 0.97 (95% CI: 0.96, 0.98); or in other words, the models were
excellent fits to the data.
Figure 1. Actual
and predicted
relationships
between the
numbers of
vertebrate
wildlife species
detected and the
elapsed survey
time based on
Noriko’s visual-
scan surveys on
31 August and 1
September 2024.
I projected the predictions of each model to thousands of hours to find predicted
asymptotes of wildlife species richness. The mean model-predicted asymptote of species
richness was 57 after 11,857 hours of visual-scan surveys among the 46 stations of my
research site. I also averaged model predictions of species richness at each incremental
increase of number of surveys, i.e., number of hours (Figure 2). On average I would have
detected 12.1 species over my first 2.8 hours of surveys at my research site in the
Altamont Pass (2.8 hours to match the 2.8 hours Noriko surveyed at the project site),
which composed 21.2% of the predicted total number of species I would detect with a
much larger survey effort at the research si te. Given the example illustrated in Figure 2,
the 25 species Noriko detected after her 2.8 hours of survey at the project site likely
represented 21.2% of the species to be detected after many more visual-scan surveys
over another year or longer. With many more repeat surveys through the year, Noriko
0 50 100 150 200 250 300
Minutes into survey
0
5
10
15
20
25
30
35
Model prediction
r2 = 0.98, loss = 21.9
95% CI of 38 visual-
scan surveys 2019-2024
Actual count of speciesCu
m
u
l
a
t
i
v
e
n
u
m
b
e
r
o
f
w
i
l
d
l
i
f
e
s
p
e
c
i
e
s
d
e
t
e
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e
d
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would likely detect 25 0.212ൗ = 118 species of vertebrate wildlife at the site. Assuming
Noriko’s ratio of special-status to non-special-status species was to hold through the
detections of all 118 predicted species, then continued surveys would eventually detect
28 special-status species of vertebrate wildlife.
Because my prediction of 118 species of vertebrate wildlife, including 28 special-status
species of vertebrate wildlife, is derived from daytime visual-scan surveys, and would
detect few nocturnal mammals such as bats, the true number of species composing the
wildlife community of the site must be larger. Noriko’s reconnaissance survey should
serve only as a starting point toward characterization of the site’s wildlife community,
but it certainly cannot alone inform of the inventory of species that use the site. More
surveys are needed to inventory the project site for wildlife. Nevertheless, the large
number of species I predict at the project site is indicative of a relatively species-rich
wildlife community that warrants a serious survey effort.
Figure 2. Mean (95% CI)
predicted wildlife species
richness, ܴ , as a nonlinear
function of hour-long
survey increments across
46 visual-scan survey
stations across the
Altamont Pass Wind
Resource Area, Alameda
and Contra Costa
Counties, 2015ࣣ2019. Note
that the location of the
study is largely irrelevant
to the utility of the graph
to the interpretation of
survey outcomes at the
project site. It is the
pattern in the data that is
relevant, because the
pattern is typical of the
pattern seen elsewhere.
EXISTING ENVIRNMENTAL SETTING
The IS/MND fails to complete the first step in analysis of potential project impacts to
biological resources, which is to accurately characterize the existing environmental
setting, including the biological species that use the site. This first analytical step should
also characterize the wildlife community that uses that portion of the aerosphere that
would be appropriated by the project’s building. This appropriated airspace is habitat
that would be lost to many species of birds, where avian habitat is defined by a species’
use of its environment (Hall et al. 1997), typically based on measurement (Smallwood
0204060801000
10
20
30
40
50
Cumulative number of surveys (hours)
(9
5
%
C
I
)
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2002). The gaseous atmosphere, or aerosphere, is habitat to many species. It is a
principal medium of life to volant animals such as birds (Davy et al. 2017, Diehl et al.
2017). The aerosphere is where birds and bats and other volant animals with wings
migrate, disperse, forage, perform courtship and where some of them mate. Birds are
some of the many types of animals that evolved wings as a morphological adaptation to
thrive by moving through the medium of the aerosphere. The aerosphere is habitat not
just to volant wildlife that fly through it, but to any and every animal that breaths air.
Indeed, an entire discipline of ecology has emerged to study this essential aspect of
habitat – the discipline of aeroecology (Kunz et al. 2008). The aerosphere is part of the
existing environmental setting, and it needs to be characterized as such in CEQA review.
The IS/MND makes no mention of the aerosphere, let alone which species of birds
might use it.
To achieve the CEQA’s primary objective to disclose potential environmental impacts of
a proposed project, the analysis should identify which biological species are known to
occur at the proposed project site, which special-status species are likely to occur, and
the limitations of the survey effort directed to the site. Analysts need this information to
characterize the environmental setting as a basis for opining on, or predicting, potential
project impacts to biological resources. However, the IS/MND provides neither the
results of a field survey to detect species of wildlife nor of a desktop review to identify
occurrence records of special-status species in the project area.
Environmental Setting informed by Field Surveys
No surveys for birds were completed at the project site. Surveys are needed to
characterize bird flights during both day and night, and the bird flights need to be
further attributed by species, heights above ground, flight directions, and specific flight
behaviors. The lack of surveys leaves the City of Arcadia blind to any potential project
impacts to birds, because without a survey there is no sound basis for characterizing the
existing environmental setting. Going forward with the project without completing
appropriate avian surveys would be indefensible, and doing so could result in high costs
to birds and to the building’s owner if windows require retrofits or window glass needs
to be marked for visibility post-construction (see below, under Bird-Window Collisions).
The IS/MND reports that the site supports 26 trees, but only three of which are
protected by City Code. However, the IS/MND fails to report the importance of the site’s
trees to birds. The trees on site serve to expand the vertical structural available to birds
on the adjoining County Park and golf course, the combination of which composes a
considerable open space within an expansive urbanized landscape. The trees on the
project site effectively add open space to birds.
Of Noriko Smallwood’s 130 observations of birds in flight during her survey, 38 were
headed to or from trees on the project site. House finches, yellow-rumped warblers and
red-crowned parrots flew to and from the palm trees located in the middle of the site. An
Allen’s hummingbird and an Anna’s hummingbird flew back and forth to other trees in
the middle of the site. All of these and more observations should have been made by
wildlife biologists sent to the project site by the City of Arcadia.
13
Noriko saw 17 species flying through the airspace of the project site, and all these flying
birds were within the height domain of the proposed building. Of the flying birds, 44%
were within 30 feet of the ground, and 93% were within 60 feet of the ground. Three of
the birds circled over the site (including the peregrine falcon), while 38 were headed
west, 30 east, 35 north, and 21 south. Unknown, however, are the numbers of birds,
their heights above ground, behaviors, and their bearings in other seasons or at night.
These details matter because they can affect collision rates with the building’s windows,
and whether the building can be designed to minimize collisions.
Environmental Setting informed by Desktop Review
The purpose of literature and database reviews and of consulting with local experts is to
inform the field survey, and to augment interpretation of its outcome. Analysts need this
information to identify which species are known to have occurred at or near the project
site, and to identify which other special-status species could conceivably occur at the site
due to geographic range overlap and migration flight paths.
The IS/MND includes no desktop review to assess avian species’ occurrence likelihoods
in or near the airspace that would be appropriated by the proposed project. The lack of a
desktop review for avian flight paths and for special-status species likely to occur at the
project site leaves the City of Arcadia uninformed of and unprepared for potential
project impacts to birds. It also fails to publicly disclose potential impacts to birds.
In my assessment based on database review, 77 special-status species of birds are known
to occur near enough to the project site to warrant analysis of occurrence potential
(Table 2). Members of these 77 species can fly within the aerosphere of the project site
and would be vulnerable to collision with the building or with loss of energy caused by
the need to circumnavigate the building. Of these 77 special-status species, 6 (8%) have
been documented on or just next to the project site, 45 (58%) have been documented
within 1.5 miles of the site (Very close), 11 (14%) within 1.5 and 4 miles (Nearby), and
another 14 (18%) within 4 to 30 miles (In region). Most (80.5%) of the species in Table 2
have been reportedly seen within 4 miles of the project site. It is reasonable to conclude,
therefore, that the site’s airspace carries considerable potential for supporting the
travels of many special-status species of birds based on proximity of recorded
occurrences.
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Table 2. Occurrence likelihoods of special-status bird species at or near the proposed project site,
according to eBird/iNaturalist records (https://eBird.org, https://www.inaturalist.org) and on-site
survey findings, where ‘Very close’ indicates within 1.5 miles of the site, “nearby” indicates within 1.5
and 4 miles, and “in region” indicates within 4 and 30 miles, and ‘in range’ means the species’
geographic range overlaps the site. Entries in bold font identify species detected by Noriko.
Common name
Species name
Status1
Data base
records,
Site visits
Monarch Danaus plexippus FC Very close
Crotch’s bumble bee Bombus crotchii CCE Very close
Western pond turtle Emys marmorata SSC In region
Blainville’s horned lizard Phrynosoma blainvillii SSC In region
Coastal whiptail Aspidoscelis tigris stejnegeri SSC Nearby
San Diegan legless lizard Anniella stebbinsi SSC Very close
California glossy snake Arizona elegans occidentalis SSC In region
Coast patch-nosed snake Salvadora hexalepis virgultea SSC In region
Fulvous whistling-duck Dendrocygna bicolor SSC1 In region
Western grebe Aechmophorus occidentalis BCC Very close
Clark’s grebe Aechmophorus clarkii BCC Very close
Western yellow-billed cuckoo Coccyzus americanus
occidentalis
FT, CE In region
Black swift Cypseloides niger SSC3, BCC Nearby
Vaux’s swift Chaetura vauxi SSC2 Very close
Calliope hummingbird Selasphorus calliope BCC Very close
Rufous hummingbird Selasphorus rufus BCC Very close
Allen’s hummingbird Selasphorus sasin BCC On site
Laughing gull Leucophaeus atricilla WL In region
Franklin’s gull Leucophaeus pipixcan BCC In region
Heermann’s gull Larus heermanni BCC In region
Western gull Larus occidentalis BCC Very close
California gull Larus californicus BCC, WL On site
Double-crested cormorant Phalacrocorax auritus WL Very close
American white pelican Pelacanus erythrorhynchos SSC1 Very close
California brown pelican Pelecanus occidentalis
californicus
CFP Nearby
Least bittern Ixobrychus exilis SSC2 In region
White-faced ibis Plegadis chihi WL Very close
Turkey vulture Cathartes aura BOP Very close
Osprey Pandion haliaetus WL, BOP Very close
White-tailed kite Elanus luecurus CFP, BOP Very close
Golden eagle Aquila chrysaetos BGEPA, CFP,
BOP, WL
Very close
Northern harrier Circus cyaneus BCC, SSC3, BOP Very close
Sharp-shinned hawk Accipiter striatus WL, BOP Very close
Cooper’s hawk Accipiter cooperii WL, BOP On site
Bald eagle Haliaeetus leucocephalus CE, BGEPA, BOP Very close
15
Common name
Species name
Status1
Data base
records,
Site visits
Red-shouldered hawk Buteo lineatus BOP Very close
Swainson’s hawk Buteo swainsoni CT, BOP Very close
Red-tailed hawk Buteo jamaicensis BOP Just offsite
Ferruginous hawk Buteo regalis WL, BOP Very close
Zone-tailed hawk Buteo albonotatus BOP Very close
Harris’ hawk Parabuteo unicinctus WL, BOP In region
Western screech-owl Megascops kennicotti BOP Very close
Great horned owl Bubo virginianus BOP Very close
Burrowing owl Athene cunicularia BCC, SSC2, BOP,
CCE
Nearby
Long-eared owl Asio otus BCC, SSC3, BOP In region
Short-eared owl Asia flammeus BCC, SSC3, BOP In region
Northern saw-whet owl Aegolius acadicus BOP Nearby
Northern pygmy-owl Glaucidium gnoma BOP Nearby
Lewis’s woodpecker Melanerpes lewis BCC Very close
Nuttall’s woodpecker Picoides nuttallii BCC Just offsite
American kestrel Falco sparverius BOP Very close
Merlin Falco columbarius WL, BOP Very close
Peregrine falcon Falco peregrinus BOP On site
Prairie falcon Falco mexicanus WL, BOP Very close
Olive-sided flycatcher Contopus cooperi BCC, SSC2 Very close
Willow flycatcher Empidonax trailii CE Very close
Southwestern willow flycatcher Empidonax traillii extimus FE, CE In region
Vermilion flycatcher Pyrocephalus rubinus SSC2 Very close
Least Bell’s vireo Vireo bellii pusillus FE, CE Nearby
Loggerhead shrike Lanius ludovicianus SSC2 Very close
Oak titmouse Baeolophus inornatus BCC Very close
California horned lark Eremophila alpestris actia WL Very close
Bank swallow Riparia riparia CT Nearby
Purple martin Progne subis SSC2 Nearby
Wrentit Chamaea fasciata BCC Very close
California gnatcatcher Polioptila c. californica FT, SSC2 In region
California thrasher Toxostoma redivivum BCC Very close
Cassin’s finch Haemorhous cassinii BCC Very close
Lawrence’s goldfinch Spinus lawrencei BCC Very close
Grasshopper sparrow Ammodramus savannarum SSC2 Nearby
Black-chinned sparrow Spizella atrogularis BCC Nearby
Gray-headed junco Junco hyemalis caniceps WL Very close
Bell’s sparrow Amphispiza b. belli WL In region
Oregon vesper sparrow Pooecetes gramineus affinis SSC2 In range
Southern California rufous-
crowned sparrow
Aimophila ruficeps canescens WL Very close
16
Common name
Species name
Status1
Data base
records,
Site visits
Yellow-breasted chat Icteria virens SSC3 Very close
Yellow-headed blackbird X. xanthocephalus SSC3 Very close
Bullock’s oriole Icterus bullockii BCC Very close
Tricolored blackbird Agelaius tricolor CT, BCC, SSC1 Very close
Lucy’s warbler Leiothlypis luciae SSC3 Nearby
Virginia’s warbler Leiothlypis virginiae WL, BCC Very close
Prothonotary warbler Protonotaria citrea BCC In region
Prairie warbler Setophaga discolor BCC In region
Yellow warbler Setophaga petechia SSC2 Very close
Summer tanager Piranga rubra SSC1 Very close
Little brown bat Myotis lucifugus WBWG:M In region
Yuma myotis Myotis yumanensis WBWG:LM In region
Long-eared myotis Myotis evotis WBWG:M In region
Fringed myotis Myotis thysanodes WBWG:H In range
Long-legged myotis Myotis volans WBWG:H In range
Small-footed myotis Myotis ciliolabrum WBWG:M In range
Canyon bat Parastrellus hesperus WBWG:M Nearby
Silver-haired bat Lasionycteris noctivagans WBWG:M In region
Hoary bat Lasiurus cinereus WBWG:M In region
Western red bat Lasiurus blossevillii SSC, WBWG:H In region
Western yellow bat Lasiurus xanthinus SSC, WBWG:H In range
Spotted bat Euderma maculatum SSC, WBWG:H In range
Townsend’s big-eared bat Corynorhinus townsendii SSC, WBWG:H In range
Pallid bat Antrozous pallidus SSC, WBWG:H In range
Western mastiff bat Eumops perotis SSC, WBWG:H In region
Los Angeles pocket mouse Perognathus longimembris
brevinasus
SSC In range
Southern grasshopper mouse Onychomys torridus ramona SSC In range
1 Listed as FT or FE = federal threatened or endangered, FC = federal candidate for listing, BCC = U.S.
Fish and Wildlife Service Bird of Conservation Concern, CT or CE = California threatened or
endangered, CCT or CCE = Candidate California threatened or endangered, CFP = California Fully
Protected (California Fish and Game Code 3511), SSC = California Species of Special Concern (not
threatened with extinction, but rare, very restricted in range, declining throughout range, peripheral
portion of species' range, associated with habitat that is declining in extent), SSC1, SSC2 and SSC3 =
California Bird Species of Special Concern priorities 1, 2 and 3, respectively (Shuford and Gardali
2008), WL = Taxa to Watch List (Shuford and Gardali 2008), and BOP = Birds of Prey (CFG Code
3503.5), and WBWG = Western Bat Working Group with priority rankings, of low (L), moderate (M),
and high (H).
Because the project would consist of a mid-rise building with many windows, avian use
of the local aerosphere should be of principal concern. Of the available records of
tracked birds, 2,585 birds of 117 species have been recorded flying into the Los Angeles
Metropolitan area from 18 countries of the Americas, from as far away as Argentina,
17
Bahamas, and Canada (https://explorer.audubon.org/explore/locations/
MYSwLgngvAMg9gZwAQEEB2BzApgGywgbgCcsMQ40oBhFA4OAVzTCOgFUBlWnAQ
zCgDMAFgB0ABgCsAiQHYCOClAC0ARhUAOEQCYhE3UA/connections?locationAddr
ess=Los+Angeles%2C+California&y=2403411.3245877805&x=2517121.9601057805&zo
om=7&legend=expand&layersPanel=expand). According to BirdCast, which detects
flying birds via radar, nearly 794,000 birds were in flight over Los Angeles County
during the night of 28 April 2024. I am unable to locate the major pathways of these
flights, but Terrill et al. (2021) found up to 13,500 birds per morning1 flying low through
Bear Divide. Headed to and from Bear Divide, these birds would have been similarly
channeled by terrain in and around the Los Angeles Metropolitan Area.
More than 11 million birds flew across Los Angeles County through the 2024 spring
migration by the time of this writing (https://dashboard.birdcast.info/region/US-CA-
037). Bird flights across Los Angeles averaged 107,539 flights per night in spring 2024.
Most of these flights ranged in height from 100 feet to 10,000 feet above ground. I am
unaware of the distribution of flight heights of birds crossing the City of Arcadia, but at a
nearby study site (Coachella Valley), McCrary et al. (1982) detected 12.9% of nocturnally
migrating birds below 100 m altitude, which corresponds with the heights of the
proposed building of either option. Assuming this percentage also applies to birds flying
across the aerosphere overlying the Los Angeles Metropolitan Area including Arcadia,
then migratory flights documented by BirdCast would average 13,873 birds per night to
be flying in the dark and within the height domain of the proposed building. That 13,500
birds per night were documented flying through the Bear Divide during peak migration
likely attests to considerable uncertainty in the BirdCast data. Such uncertainty should
be treated in a manner that is consistent with the precautionary principle in risk
assessment. The BirdCast data might be missing many of the migratory birds that fly
low due to ground clutter.2 Ground clutter in the Los Angeles Metropolitan Area comes
in the forms of buildings and trees. In summary, the basis exists for concern that a large
number of birds might routinely fly through the aerosphere that would be appropriated
by the proposed building. Potential collision impacts from this project are addressed
below, under the heading Bird-Window Collisions.
Hundreds of thousands of birds migrate along the Pacific Flyway, which includes the
Los Angeles Metropolitan Area. At least 77 special-status species of bird are known to
the project area (Table 2). According to the scientific literature, many of the special-
status species in Table 2 have been document ed as window collision fatalities and are
therefore susceptible to new structural glass installations (Supplemental Material to
Basilio et al. 2020; Smallwood unpublished review). Many more species of migratory
birds, protected by the federal Migratory Bird Treaty Act and by California’s Migratory
Bird Protection Act, have also been documented as window collision victims (Basilio et
al. 2020).
Surveys by qualified behavioral ecologists are needed to characterize bird flight activity
in the project area. A desktop review is also needed to identify the special-status species
1 Morning flights are regarded as continuation of nocturnal flights into daylight hours.
2 Ground clutter generates solid radar echoes that hide the echoes of individual birds.
18
of birds most at risk of encountering the building while flying through the area. The
analysis should provide guidance to the orientation and design of the building. Also, it
should provide guidance to mitigation measures.
Based on Noriko Smallwood’s brief survey of the site for vertebrate wildlife, and based
on my cursory desktop review for the potential of special-status species of wildlife to
occur at the site, there is at least a fair argument to be made for the need to prepare an
EIR to accurately characterize the wildlife community of the project site.
BIOLOGICAL IMPACTS ASSESSMENT
Accurate characterization of the existing environmental setting is an essential
foundation for analysis of potential project impacts, but the IS/MND provides no
foundation for an impacts analysis. An impacts analysis should consider whether and
how the proposed project would affect members of each potentially occurring special-
status species and of each species of bird likely to attempt to fly through the airspace of
the project. In the following, I analyze impacts likely to result from the project but which
are not addressed in the IS/MND.
INTERFERENCE WITH WILDLIFE MOVEMENT
One of CEQA’s principal concerns regarding potential project impacts is whether a
proposed project would interfere with wildlife movement in the region. Unfortunately,
the IS/MND includes no analysis of whether the project would interfere with wildlife
movement in the region. The project would insert a midrise building into the airspace
that has been used by birds on migration, dispersal, home range patrol and foraging
over millions of years. This building would obviously interfere with wildlife movement
in the region. Noriko Smallwood observed and photographed birds flying through the
airspace of the project site. A fair argument can be made for the need to prepare an EIR
to appropriately analyze the project’s potential impacts to volant wildlife and how those
impacts to movement can be mitigated.
BIRD-WINDOW COLLISIONS
The project would add a 5-story mixed-use building, which would expose the birds of
Arcadia to many windows composing the building’s facades. Window collisions are often
characterized as either the second or third largest source or human-caused bird
mortality. The numbers behind these characterizations are often attributed to Klem’s
(1990) and Dunn’s (1993) estimates of about 100 million to 1 billion bird fatalities in the
USA, or more recently by Loss et al.’s (2014) estimate of 365-988 million bird fatalities
in the USA or Calvert et al.’s (2013) and Machtans et al.’s (2013) estimates of 22.4
million and 25 million bird fatalities in Canada, respectively. The proposed project
would impose windows in the airspace normally used by birds.
Glass-façades of buildings intercept and kill many birds, but these façades are
differentially hazardous to birds based on spatial extent, contiguity, orientation, and
other factors. At Washington State University, Johnson and Hudson (1976) found 266
19
bird fatalities of 41 species within 73 months of monitoring of a three-story glass
walkway (no fatality adjustments attempted). Prior to marking the windows to warn
birds of the collision hazard, the collision rate was 84.7 per year. At that rate, and not
attempting to adjust the fatality estimate for the proportion of fatalities not found, 4,574
birds were likely killed over the 54 years since the start of their study, and that’s at a
relatively small building façade. Accounting for the proportion of fatalities not found,
the number of birds killed by this walkway over the last 54 years would have been about
14,270. And this is just for one 3-story, glass-sided walkway between two college campus
buildings.
Klem’s (1990) estimate was based on speculation that 1 to 10 birds are killed per
building per year, and this speculated range was extended to the number of buildings
estimated by the US Census Bureau in 1986. Klem’s speculation was supported by
fatality monitoring at only two houses, one in Illinois and the other in New York. Also,
the basis of his fatality rate extension has changed greatly since 1986. Whereas his
estimate served the need to alert the public of the possible magnitude of the bird-
window collision issue, it was highly uncertain at the time and undoubtedly outdated
more than three decades hence. Indeed, by 2010 Klem (2010) characterized the upper
end of his estimated range – 1 billion bird fatalities – as conservative. Furthermore, the
estimate lumped species together as if all birds are the same and the loss of all birds to
windows has the same level of impact.
By the time Loss et al. (2014) performed their effort to estimate annual USA bird-
window fatalities, many more fatality monitoring studies had been reported or were
underway. Loss et al. (2014) incorporated many more fatality rates based on scientific
monitoring, and they were more careful about which fatality rates to include. However,
they included estimates based on fatality monitoring by homeowners, which in one
study were found to detect only 38% of the available window fatalities (Bracey et al.
2016). Loss et al. (2014) excluded all fatality records lacking a dead bird in hand, such as
injured birds or feather or blood spots on windows. Loss et al.’s (2014) fatality metric
was the number of fatalities per building (where in this context a building can include a
house, low-rise, or high-rise structure), but they assumed that this metric was based on
window collisions. Because most of the bird-window collision studies were limited to
migration seasons, Loss et al. (2014) developed an admittedly assumption-laden
correction factor for making annual estimates. Also, only 2 of the studies included
adjustments for carcass persistence and searcher detection error, and it was unclear how
and to what degree fatality rates were adjusted for these factors. Although Loss et al.
(2014) attempted to account for some biases as well as for large sources of uncertainty
mostly resulting from an opportunistic rather than systematic sampling data source,
their estimated annual fatality rate across the USA was highly uncertain and vulnerable
to multiple biases, most of which would have resulted in fatality estimates biased low.
In my review of bird-window collision monitoring, I found that the search radius
around homes and buildings was very narrow, usually 2 meters. Based on my experience
with bird collisions in other contexts, I would expect that a large portion of bird-window
collision victims would end up farther than 2 m from the windows, especially when the
windows are higher up on tall buildings. In my experience, searcher detection rates tend
20
to be low for small birds deposited on ground with vegetation cover or woodchips or
other types of organic matter. Also, vertebrate scavengers entrain on anthropogenic
sources of mortality and quickly remove many of the carcasses, thereby preventing the
fatality searcher from detecting these fatalities. Adjusting fatality rates for these factors
– search radius bias, searcher detection error, and carcass persistence rates – would
greatly increase nationwide estimates of bird-window collision fatalities.
Buildings can intercept many nocturnal migrants (Van Doren et al. 2021) as well as
birds flying in daylight. As mentioned above, Johnson and Hudson (1976) found 266
bird fatalities of 41 species within 73 months of monitoring of a four-story glass walkway
at Washington State University (no adjustments attempted for undetected fatalities).
Somerlot (2003) found 21 bird fatalities among 13 buildings on a university campus
within only 61 days. Monitoring twice per week, Hager at al. (2008) found 215 bird
fatalities of 48 species, or 55 birds/building/year, and at another site they found 142
bird fatalities of 37 species for 24 birds/building/year. Gelb and Delacretaz (2009)
recorded 5,400 bird fatalities under buildings in New York City, based on a decade of
monitoring only during migration periods, and some of the high-rises were associated
with hundreds of fatalities each. Klem et al. (2009) monitored 73 building façades in
New York City during 114 days of two migratory periods, tallying 549 collision victims,
nearly 5 birds per day. Borden et al. (2010) surveyed a 1.8 km route 3 times per week
during 12-month period and found 271 bird fatalities of 50 species. Parkins et al. (2015)
found 35 bird fatalities of 16 species within only 45 days of monitoring under 4 building
façades. From 24 days of survey over a 48-day span, Porter and Huang (2015) found 47
fatalities under 8 buildings on a university campus. Sabo et al. (2016) found 27 bird
fatalities over 61 days of searches under 31 windows. In San Francisco, Kahle et al.
(2016) found 355 collision victims within 1,762 days under a 5-story building. Ocampo-
Peñuela et al. (2016) searched the perimeters of 6 buildings on a university campus,
finding 86 fatalities after 63 days of surveys. One of these buildings produced 61 of the
86 fatalities, and another building with collision-deterrent glass caused only 2 of the
fatalities, thereby indicating a wide range in impacts likely influenced by various factors.
There is ample evidence available to support my prediction that the proposed project
would result in many collision fatalities of birds.
Project Impact Prediction
By the time of these comments, I had reviewed and processed results of bird collision
monitoring at 213 buildings and façades for which bird collisions per m 2 of glass per
year could be calculated and averaged (Johnson and Hudson 1976, O’Connell 2001,
Somerlot 2003, Hager et al. 2008, Borden et al. 2010, Hager et al. 2013, Porter and
Huang 2015, Parkins et al. 2015, Kahle et al. 2016, Ocampo-Peñuela et al. 2016, Sabo et
al. 2016, Barton et al. 2017, Gomez-Moreno et al. 2018, Schneider et al. 2018, Loss et al.
2019, Brown et al. 2020, City of Portland Bureau of Environmental Services and
Portland Audubon 2020, Riding et al. 2020). These study results averaged 0.073 bird
deaths per m2 of glass per year (95% CI: 0.042-0.102). This average and its 95%
confidence interval provide a robust basis for predicting fatality rates at a proposed new
project.
21
The IS/MND does not disclose the extent of glass windows on the proposed new
building. I therefore measured the extents of windows depicted in the IS/MND’s
schematics of the building, though in doing so I omitted measurement of the glass
railings. I adjusted my measured extent of exterior glass for the exterior glass that was
either not visible or only obliquely visible on façades of interior spaces such as around
the courtyard and within projections of the building My adjustment was 50%, which was
conservative. With this adjustment, I estimate the project would include 2,966 m2 of
exterior glass windows. Applying the mean fatality rate (above) to my estimates of glass
in either project, I predict annual bird deaths of 217 (95% CI: 129305).
The vast majority of bird-window collision deaths would be of birds protected under the
federal Migratory Bird Treaty Act and California’s Migratory Bird Protection Act, thus
causing significant unmitigated impacts. Given the predicted level of bird-window
collision mortality, and the lack of any proposed mitigation, it is my opinion that the
proposed project would result in potentially significant adverse biological impacts.
At least a fair argument can be made for the need to prepare an EIR to appropriately
analyze the potential impacts of bird-window collisions that might be caused by the
project.
TRAFFIC IMPACTS TO WILDLIFE
The IS/MND neglects to address one of the project’s most obvious, substantial impacts
to wildlife, and that is wildlife mortality and injuries caused by project-generated traffic.
Project-generated traffic would endanger wildlife that must, for various reasons, cross
roads used by the project’s traffic (Photos 22ȸ25), including along roads far from the
project footprint but which would nevertheless by traversed by automobiles head to or
from the project’s building. Vehicle collisions have accounted for the deaths of many
thousands of amphibian, reptile, mammal, bird, and arthropod fauna, and the impacts
have often been found to be significant at the population level (Forman et al. 2003).
Across North America traffic impacts have taken devastating tolls on wildlife (Forman et
al. 2003). In Canada, 3,562 birds were estimated killed per 100 km of road per year
(Bishop and Brogan 2013), and the US estimate of avian mortality on roads is 2,200 to
8,405 deaths per 100 km per year, or 89 million to 340 million total per year (Loss et al.
2014). Local impacts can be more intense than nationally.
22
Photo 22. A white-tailed
antelope squirrel runs across the
road just in the Coachella Valley,
26 May 2022. Such road
crossings are usually successful,
but too often prove fatal to the
animal.
Photo 23. A coyote uses the
crosswalk to cross a road on 2
February 2023. Not all drivers
stop, nor do all animals use the
crosswalk. Too often, animals
are injured or killed when they
attempt to cross roads.
Photos 24 and 25. Raccoon killed on Road 31 just east of Highway 505 in Solano
County (left; photo taken on 10 November 2018), and mourning dove killed by vehicle
on a California road (right; photo by Noriko Smallwood, 21 June 2020.)
The nearest study of traffic-caused wildlife mortality was performed along a 2.5-mile
stretch of Vasco Road in Contra Costa County, California. Fatality searches in this study
23
found 1,275 carcasses of 49 species of mammals, birds, amphibians and reptiles over 15
months of searches (Mendelsohn et al. 2009). This fatality number needs to be adjusted
for the proportion of fatalities that were not found due to scavenger removal and
searcher error. This adjustment is typically made by placing carcasses for searchers to
find (or not find) during their routine periodic fatality searches. This step was not taken
at Vasco Road (Mendelsohn et al. 2009), but it was taken as part of another study next
to Vasco Road (Brown et al. 2016). Brown et al.’s (2016) adjustment factors for carcass
persistence resembled those of Santos et al. (2011). Also applying searcher detection
rates from Brown et al. (2016), the adjusted total number of fatalities was estimated at
9,462 animals killed by traffic on the road. This fatality number projected over 1.25
years and 2.5 miles of road translates to 3,028 wild animals per mile per year. In terms
comparable to the national estimates, the estimates from the Mendelsohn et al. (2009)
study would translate to 188,191 animals killed per 100 km of road per year, or 22 times
that of Loss et al.’s (2014) upper bound estimate and 53 times the Canadian estimate.
An analysis is needed of whether increased traffic generated by the project site would
similarly result in local impacts on wildlife.
For wildlife vulnerable to front-end collisions and crushing under tires, road mortality
can be predicted from the study of Mendelsohn et al. (2009) as a basis, although it
would be helpful to have the availability of more studies like that of Mendelsohn et al.
(2009) at additional locations. My analysis of the Mendelsohn et al. (2009) data
resulted in an estimated 3,028 animals killed per mile along a county road in Contra
Costa County. The estimated numbers of fatalities were 1.75% birds, 26.4% mammals
(many mice and pocket mice, but also ground squirrels, desert cottontails, striped
skunks, American badgers, raccoons, and others), 67.4% amphibians (large numbers of
California tiger salamanders and California red-legged frogs, but also Sierran treefrogs,
western toads, arboreal salamanders, slender salamanders and others), and 4.4%
reptiles (many western fence lizards, but al so skinks, alligator lizards, and snakes of
various species). VMT is useful for predicting wildlife mortality because I was able to
quantify miles traveled along the studied reach of Vasco Road during the time period of
the Mendelsohn et al. (2009) study, hence enabling a rate of fatalities per VMT that can
be projected to other sites, assuming similar collision fatality rates.
Predicting project-generated traffic impacts to wildlife
The IS/MND predicts 1,302,015 annual VMT. During the Mendelsohn et al. (2009)
study, 19,500 cars traveled Vasco Road daily, so the vehicle miles that contributed to my
estimate of non-volant fatalities was 19,500 cars and trucks × 2.5 miles × 365 days/year
× 1.25 years = 22,242,187.5 vehicle miles per 9,462 wildlife fatalities, or 2,351 vehicle
miles per fatality. This rate divided into the predicted annual VMT would predict 554
vertebrate wildlife fatalities per year due to project-generated traffic. However,
compared to the study area of Mendelsohn et al. (2009), fewer animals would be killed
in the urbanized part of Arcadia that surrounds the project site, so an adjustment is
warranted. Assuming that the number of wild animals encountered by project-generated
traffic would be only 30% of the number of animals encountered by traffic in the
Mendelsohn et al. (2009) study, the annual death toll to wildlife resulting from project-
generated traffic would be 166. Even this assumed lower mortality would qualify as a
24
significant impact, and based on my review of the available documents, it would not be
mitigated.
Based on my analysis, the project-generated traffic would cause substantial, significant
impacts to wildlife. The IS/MND does not address this potential impact, let alone
propose to mitigate it. Mitigation measures to improve wildlife safety along roads are
available and are feasible, and they need exploration for their suitability with the
proposed project. Given the predicted level of project-generated traffic-caused
mortality, and the lack of any proposed mitigation, it is my opinion that the proposed
project would result in potentially significant adverse biological impacts.
At least a fair argument can be made for the need to prepare an EIR to appropriately
analyze the impact of wildlife-automobile collisions resulting from project-generated
traffic.
CUMULATIVE IMPACTS
The IS’MND’s analysis of potential project contributions to cumulative impacts is
flawed. According to the IS/MND (p. 3-114), “All reasonably foreseeable future
development in the City would be subject to the same land use and environmental
regulations that have been described throughout this document. … all development
projects are guided by the policies identified in the City’s General Plan and by the
regulations established in the Development Code and AMC. Therefore, compliance with
applicable land use and environmental regulations and implementation of the
mitigation program would ensure that environmental effects associated with the
proposed Project would not combine with effects from reasonably foreseeable future
development in the City to cause cumulatively considerable significant impacts.”
However, according to the CEQA Guidelines §15064(h)(3), “a project’s incremental
contribution to a cumulative impact can be found not cumulatively considerable if the
project would comply with an approved plan or mitigation program that provides
specific requirements that would avoid or substantially lessen the cumulative problem
within the geographic area of the project.” The IS/MND cites no specific requirements
that would substantially lessen cumulative impacts to wildlife in the area. The CEQA
Guidelines §15064(h)(3) futher state, “When relying on a plan, regulation or program,
the lead agency should explain how implementing the particular requirements in the
plan, regulation or program ensure that the project’s incremental contribution to the
cumulative effect is not cumulatively considerable.” The IS/MND provides no
explanation of how implementing particular requirements of the City’s General Plan
would minimize, avoid or offset the project’s contributions to cumulative impacts to
wildlife.
To measure the impacts of habitat loss and cumulative impacts to wildlife caused by
development projects that had to comply with existing policies and regulations, Noriko
Smallwood and I measured the impacts of habitat loss to wildlife caused by mitigated
development projects. We revisited 80 sites of proposed projects that we had originally
surveyed in support of comments on CEQA review documents (Smallwood and
Smallwood 2023). We revisited the sites to repeat the survey methods at the same time
25
of year, the same start time in the day, and the same methods and survey duration in
order to measure the effects of mitigated development on wildlife. We structured the
experiment in a before-after, control-impact experimental design, as some of the sites
had been developed since our initial survey and some had remained undeveloped. We
found that mitigated development resulted in a 66% loss of species on site, and 48% loss
of species in the project area. Counts of vertebrate animals declined 90%. “Development
impacts measured by the mean number of species detected per survey were greatest for
amphibians (-100%), followed by mammals (-86%), grassland birds (-75%), raptors
(-53%), special-status species (-49%), all birds as a group (-48%), non-native birds
(-44%), and synanthropic birds (-28%). Our results indicated that urban development
substantially reduced vertebrate species richness and numerical abundance, even after
richness and abundance had likely already been depleted by the cumulative effects of
loss, fragmentation, and degradation of habitat in the urbanizing environment,” and
despite all the mitigation measures per existing policies and regulations. We also
specifically tested for the effects of projects to wildlife in neighboring habitats, and
found significant decreases in species richness and overall abundance in those areas as
well.
The project would insert a glass-covered midrise building into the airspace that has been
used by volant wildlife for millions of years to travel across the Los Angeles Basin. The
project would further fragment aerial habitat of volant wildlife, and this would
contribute cumulatively to other similar impacts caused by other midrise and high-rise
buildings in the area. The project would also cause a predicted 217 (95% CI: 129305)
bird-window collision fatalities. Additionally, the project would generate a predicted
annual VMT of 1,302,015, which would contribute 166 to 554 wildlife-automobile
collision fatalities to the cumulative annual mortality already underway in Arcadia and
the Los Angeles Metropolitan Area. A cumulative impacts analysis needs to be
completed.
MITIGATION MEASURES
The IS/MND summarizes three measures to mitigate potential project impacts to
wildlife, but these measures are incomplete and inadequate. Below my comments on
these measures are my recommendations for mitigation that should be considered in an
EIR.
RR BIO-1: If vegetation clearing occurs during the peak nesting season (between
February 1 and August 31), a pre-construction survey shall be conducted by a qualified
biologist to identify if there are any active nesting locations. ... If the biologist finds an
active nest within the construction area and determines that the nest may be impacted
by construction activities, the biologist will delineate an appropriate buffer zone
around the nest depending on the species and the type of construction activity.
Construction activities shall be prohibited in the buffer zone until a qualified biologist
determines the nest is abandoned.
Whereas a preconstruction nesting bird survey should be completed, it needs to be
understood that a preconstruction survey unlikely to achieve much of any conservation
26
benefit to birds, and the IS/MND – like all other CEQA review documents I have read –
cites no evidence of efficacy. Preconstruction, take-avoidance surveys consist of two
steps, both of which are very difficult. First, the biologist(s) performing the survey must
identify birds that are breeding. Second, the biologist(s) must locate the breeding birds’
nests. The first step is typically completed by observing bird behaviors such as food
deliveries and nest territory defense. These types of observations typically require many
surveys on many dates spread throughout the breeding season, whereas preconstruction
surveys take place only once and not necessarily at the optimal time for detecting
nesting by birds. The biologists conducting the preconstruction survey would be very
lucky to find any of the bird nests that are available to be found at the time of the survey.
One reason why preconstruction surveys achieve very little is because species of bird
vary in their nest phenology within what is generally understand as the avian breeding
season. Whereas, as examples (and not suggesting these particular species occur at the
project site), killdeer begin nesting in mid-March, western meadowlarks begin in late
April, burrowing owls usually begin in May, and American goldfinches do not nest until
July-August. Whenever the preconstruction survey is conducted, the biologists
conducting the survey would be searching only for the nests of the birds that happen to
be breeding at the time, and would miss the nests begun between the survey and the
start of construction. On the project site, this task would be further complicated by the
size of the site, by its terrain, and by its diversity of vegetation communities.
Another reason why preconstruction surveys achieve very little is because the nests they
might salvage are only the nests of the year. Preconstruction surveys can do nothing to
mitigate the loss of productive capacity that ensues construction. All subsequent years of
productivity would be destroyed by the project regardless of the success of a
preconstruction survey.
Lastly, the mitigation language allows a single individual to make a subjective decision,
outside the public’s view, to determine the buffer area for any given species. This
measure lacks objective criteria, and it is therefore unenforceable.
RR BIO-2: …the Project Applicant/Property Owner shall obtain permits from the
Arcadia Public Works Services Department for the removal and planting of Protected
trees and street trees in the public right-of-way associated with the Project. …
The obtaining of a necessary permit is not a legitimate mitigation measure, as it does not
necessarily avoid, minimize, rectify, reduce, or compensate for impacts.
RR BIO-3: The Project Applicant/Property Owner shall submit the Project’s
landscape plans, which will include the proposed locations and species of replacement
street trees, to the Arcadia Public Works Services Department for review. Street tree
species will consist of those set forth in the City’s Street Tree Master Plan.
This measure defers its own formulation to an unspecified later date that arrives after
the public has had the opportunity to participate with the environmental review of the
27
project. It fails to suggest that any of the landscaping would be intended to benefit
wildlife.
RECOMMENDED MEASURES
Guidelines on Building Design to Minimize Bird-Window Collisions: If the
project goes forward, it should at a minimum adhere to available Bird-Safe Guidelines,
such as those prepared by American Bird Conservancy and New York and San
Francisco. The American Bird Conservancy (ABC) produced an excellent set of
guidelines recommending actions to: (1) Minimize use of glass; (2) Placing glass behind
some type of screening (grilles, shutters, exterior shades); (3) Using glass with inherent
properties to reduce collisions, such as patterns, window films, decals or tape; and (4)
Turning off lights during migration seasons (Sheppard and Phillips 2015). The City of
San Francisco (San Francisco Planning Department 2011) also has a set of building
design guidelines, based on the excellent guidelines produced by the New York City
Audubon Society (Orff et al. 2007). The ABC document and both the New York and San
Francisco documents provide excellent alerting of potential bird-collision hazards as
well as many visual examples. The San Francisco Planning Department’s (2011) building
design guidelines are more comprehensive than those of New York City, but they could
have gone further. For example, the San Francisco guidelines probably should have also
covered scientific monitoring of impacts as well as compensatory mitigation for impacts
that could not be avoided, minimized or reduced.
New research results inform of the efficacy of marking windows. Whereas Klem (1990)
found no deterrent effect from decals on windows, Johnson and Hudson (1976) reported
a fatality reduction of about 69% after placing decals on windows. In an experiment of
opportunity, Ocampo-Peñuela et al. (2016) found only 2 of 86 fatalities at one of 6
buildings – the only building with windows treated with a bird deterrent film. At the
building with fritted glass, bird collisions were 82% lower than at other buildings with
untreated windows. Kahle et al. (2016) added external window shades to some
windowed façades to reduce fatalities 82% and 95%. Brown et al. (2020) reported an
84% lower collision probability among fritted glass windows and windows treated with
ORNILUX R UV. City of Portland Bureau of Environmental Services and Portland
Audubon (2020) reduced bird collision fatalities 94% by affixing marked Solyx window
film to existing glass panels of Portland’s Columbia Building. Many external and
internal glass markers have been tested experimentally, some showing no effect and
some showing strong deterrent effects (Klem 1989, 1990, 2009, 2011; Klem and Saenger
2013; Rössler et al. 2015).
Van Doren et al. (2021) found that nocturnal migrants contributed most of the collision
fatalities in their study, and the largest predictors of fatalities were peak migration and
lit windows. Van Doren et al. (2021) predicted that a light-out mitigation measure could
reduce bird-window collision mortality by 60%.
Monitoring and the use of compensatory mitigation should be incorporated at any new
building project because the measures recommended in the available guidelines remain
of uncertain efficacy, and even if these measures are effective, they will not reduce
28
collision fatalities to zero. The only way to assess mitigation efficacy and to quantify
post-construction fatalities is to monitor the project for fatalities.
The City of Arcadia should also follow the examples of other major cities and formulate
its own mitigation guidelines for analysis of potential impacts and for mitigating those
impacts.
Road Mortality: Compensatory mitigation is needed for the increased wildlife
mortality that would be caused by bird-window collisions and the project-generated
road traffic in the region. I suggest that this mitigation can be directed toward funding
research to identify fatality patterns and effective impact reduction measures such as
reduced speed limits and wildlife under-crossings or overcrossings of particularly
dangerous road segments. Compensatory mitigation can also be provided in the form of
donations to wildlife rehabilitation facilities (see below).
Fund Wildlife Rehabilitation Facilities: Compensatory mitigation ought to
include funding contributions to wildlife rehabilitation facilities to cover the costs of
injured animals that will be delivered to these facilities for care. Many animals would
likely be injured by collisions with the building’s windows and with automobiles
traveling to and from the building.
Landscaping: If the project goes forward, California native plant landscaping (i.e.,
grassland and locally appropriate scrub plants) should be considered to be used as
opposed to landscaping with lawn and exotic shrubs and trees. Native plants offer more
structure, cover, food resources, and nesting substrate for wildlife than landscaping with
lawn and ornamental trees. Native plant landscaping has been shown to increase the
abundance of arthropods which act as importance sources of food for wildlife and are
crucial for pollination and plant reproduction (Narango et al. 2017, Adams et al. 2020,
Smallwood and Wood 2022.). Further, many endangered and threated insects require
native host plants for reproduction and migration, e.g., monarch butterfly. Around the
world, landscaping with native plants over exotic plants increases the abundance and
diversity of birds, and is particularly valuable to native birds (Lerman and Warren 2011,
Burghardt et al. 2008, Berthon et al. 2021, Smallwood and Wood 2022). Landscaping
with native plants is a way to maintain or to bring back some of the natural habitat and
lessen the footprint of urbanization by acting as interconnected patches of habitat for
wildlife (Goddard et al. 2009, Tallamy 2020). Lastly, not only does native plant
landscaping benefit wildlife, it requires less water and maintenance than traditional
landscaping with lawn and hedges.
Thank you for your consideration,
______________________
Shawn Smallwood, Ph.D.
29
LITERATURE CITED
Barton, C. M., C. S. Riding, and S. R. Loss. 2017. Magnitude and correlates of bird
collisions at glass bus shelters in an urban landscape. Plos One 12. (6): e0178667.
https://doi.org/10.1371/journal.pone.0178667
Basilio, L. G., D. J. Moreno, and A, J. Piratelli. 2020. Main causes of bird-window
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SUBJECT: Arcadia Town Center Project
City of Arcadia, CA
Review and Comment on Noise Study
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Arcadia Town Center Project
Initial Study / Mitigated Negative Declaration, November 2024 (IS / MND)
Appendix G Noise Calculations (Appendix G)
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WILSON IHRIG
Arcadia Town Center Project
Review and Comment on Noise Report
Page 2
Adverse Effects of Noise1
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1 More information on these and other adverse effects of noise may be found in Guidelines for Community Noise ,
eds B Berglund, T Lindvall, and D Schwela, World Health Organization, Geneva, Switzerland, 1999.
(https://www.who.int/docstore/peh/noise/Comnoise-1.pdf)
WILSON IHRIG
Arcadia Town Center Project
Review and Comment on Noise Report
Page 3
Baseline Noise is Not Properly Established
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The Project must conduct properly documented ambient measurements near sensitive
receptors that capture the current baseline conditions during quiet period of the day and
night to determine the impact of construction and operational noise.
Figure 1 Project Site and Noise Sensitive Receivers
Potentially Significant Construction Noise Impacts
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Park /Memorial
WILSON IHRIG
Arcadia Town Center Project
Review and Comment on Noise Report
Page 4
Table 1 Estimated Construction Noise Levels
Construction Phase
Noise Levels (Leq, dBA)
95 feet –
Arcadia County
Park1
10 feet –
Elk Lodge1
280 feet –
Santa Anita
Residences 2
410 feet –
Santa Clara
Residences 2
Ground Cleaning /
Demolition ͺ98 6965
Excavation ͵93 6460
Foundation Construction ʹ92 6359
Building Construction ͻ89 6056
Paving and Site Cleanup ͻ89 6056
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https://library.municode.com/ca/arcadia/codes/code_of_ordinances?nodeId=ARTIVPUWEMOPO_CH6NORE_PT1G
EPR_4610.3NOLI
WILSON IHRIG
Arcadia Town Center Project
Review and Comment on Noise Report
Page 5
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The Project must properly evaluate construction noise impacts, including the noise increase
over ambient levels at sensitive receptor locations. If the increase is significant the Project
must properly evaluate mitigation measures to reduce the impacts to less than significant.
Operational Analysis Incomplete
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Conclusion
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2656 29th Street, Suite 201
Santa Monica, CA 90405
Matt Hagemann, P.G, C.Hg.
(949) 887-9013
mhagemann@swape.com
Paul E. Rosenfeld, PhD
(310) 795-2335
prosenfeld@swape.com
December 18, 2024
Hayley Uno
Lozeau | Drury LLP
1939 Harrison Street, Suite 150
Oakland, CA 94618
Subject: Comments on the Arcadia Town Center Mixed Use Project (SCH No. 2024110749)
Dear Ms. Uno,
We have reviewed the November 2024 Initial Study/Mitigation Negative Declaration (“IS/MND”) for the
Arcadia Town Center Mixed Use Project (“Project”) located in the City of Arcadia (“City”). The Project
proposes to construct 440,938-square-feet (“SF”) of residential space, including 181 dwelling units and
378 parking spaces on the 2.27-acre site.
Our review concludes that the IS/MND fails to adequately evaluate the Project’s air quality, health risk,
and greenhouse gas (“GHG”) impacts. Emissions and health risk impacts associated with construction
and operation of the proposed Project may be underestimated and inadequately addressed. An
Environmental Impact Report (“EIR”) should be prepared to adequately assess and mitigate the
potential air quality, health risk, and GHG impacts that the project may have on the environment.
Air Quality
Failure to Provide Complete CalEEMod Output Files
Land use development projects under the California Environmental Quality Act (“CEQA”) typically
evaluate air quality impacts and calculate potential criteria air pollutant emissions using the California
Emissions Estimator Model (“CalEEMod”).1 CalEEMod uses default values tailored to site-specific details
such as land use type, meteorological data, lot size, project type, and typical equipment associated with
that type. If project-specific details are available, users can modify these defaults, but CEQA requires
substantial evidence to justify such changes. Once the inputs are finalized, the model calculates the
1 “CalEEMod User’s Guide.” California Air Pollution Control Officers Association (CAPCOA), May 2021, available at:
https://www.aqmd.gov/caleemod/user's-guide.
2
project's construction and operational emissions and generates "output files." These output files
disclose to the reader what parameters are used in calculating the Project’s air pollutant emissions and
demonstrate where default values are changed. Justifications are provided for the values selected.
Review of the Project’s CalEEMod output files in Appendix A of the IS/MND reveals that the “Arcadia
Town Center v2” includes land use inputs but omits all other qualitative outputs regarding the Project’s
construction-related and operational emission (pp. 38, 39).
Note: Only sections 1.2, 1.3, 2.1, and 2.2 are included for reader clarity.
Without access to specific emissions values, we are unable to verify the potential significance or
accuracy of the Project’s model. Furthermore, the “Arcadia Town Center v2” model does not include the
“User Changes to Default” table. (Appendix A, pp. 54)
Without access to the “User Changes to Default Data” table, we are unable to verify whether changes
were made to the model’s default values. CEQA requires public disclosure of environmental impacts to
3
ensure transparency with regards to potential environmental impacts of land use developments.2 An EIR
should be prepared to disclose the Project’s complete CalEEMod output files and adhere to CEQA’s
formal guidelines.
Diesel Particulate Matter Emissions Inadequately Evaluated
The IS/MND determines that the Project would result in a negligible health risk impact without
conducting a construction health risk analysis (“HRA”). CEQA requires all proposed projects to connect
their emissions with potential adverse impacts on human health caused by those emissions.3 As the
IS/MND does not establish a connection between the Project’s construction-related diesel particulate
matter (“DPM”) emissions and potential health risks to nearby sensitive receptors, the Project violates
CEQA’s requirement. Additionally, the IS/MND does not compare the Project's excess cancer risk to the
South Coast Air Quality Management District’s (“SCAQMD”) threshold of 10 in one million.4
An assessment of the health risk posed to nearby existing receptors due to Project construction should
be conducted to comply with the most relevant guidance.
Screening-Level Analysis Demonstrates Potentially Significant Health Risk Impact
We conducted an HRA using AERSCREEN, a screening-level air quality dispersion model that estimates
maximum potential concentrations of air contaminants affecting nearby sensitive receptors.5 If
AERSCREEN indicates a potential air quality hazard, a detailed modeling analysis is required before
Project approval. 6
To conduct a preliminary, screening-level construction HRA, it is necessary to have an estimate of the
Project's annual particulate matter 10 ("PM10") exhaust emissions.7 However, as detailed in the section
of this letter titled Failure to Provide Complete CalEEMod Output Files, the Project's CalEEMod files
exclude the projected values for construction-related emissions. In the absence of this requisite
information, we created a model using the Project-specific details provided in the IS/MND and related
documents to estimate PM10 emissions.
2 “Environmental Review Guidelines.” San Diego County Air Pollution Control District, September 2024, available
at: https://www.sdapcd.org/content/dam/sdapcd/documents/grants/planning/ceqa/DRAFT-SDAPCD-CEQA-
Guidelines.pdf#:~:text=It%20is%20intended%20to%20require%20public%20disclosure,under%20what%20circumst
ances%20to%20approve%20such%20projects.&text=In%20accordance%20with%20Section%2015063%20of%20th
e,have%20a%20significant%20effect%20on%20the%20environment.
3 “Sierra Club v. County of Fresno.” Supreme Court of California, December 2018, available at:
https://ceqaportal.org/decisions/1907/Sierra%20Club%20v.%20County%20of%20Fresno.pdf.
4 “South Coast AQMD Air Quality Significance Thresholds.” SCAQMD, March 2023, available at:
https://www.aqmd.gov/docs/default-source/ceqa/handbook/south-coast-aqmd-air-quality-significance-
thresholds.pdf?sfvrsn=25.
5 “Air Quality Dispersion Modeling - Screening Models,” U.S. EPA, available at: https://www.epa.gov/scram/air-
quality-dispersion-modeling-screening-models.
6 “Guidelines for Exposure Assessment.” U.S. Environmental Protection Agency, 1992, available at:
https://cfpub.epa.gov/ncea/risk/recordisplay.cfm?deid=15263.
7 “Inhalable Particulate Matter and Health (PM2.5 and PM10).” CARB, available at:
https://ww2.arb.ca.gov/resources/inhalable-particulate-matter-and-health.
4
Our analysis included 173,760-SF of “Apartments Mid Rise,” 151,200-SF of “Enclosed Parking with
Elevator,” 4,000-SF of “Strip Mall,” 1-acre of “City Park,” 5,000-SF of “User Defined Commercial,” and
5,000-SF of “General Office Building,” consistent with the Project’s original model. Additionally, as the
Project’s construction duration was not properly justified or disclosed, we developed a proportionately
altered construction schedule to match the total construction duration of 29 months (IS/MND, p. 2-11).8
All other values were left as default.9
Following Office of Environmental Health Hazard Assessment’s (“OEHHA”) recommendations, we began
residential exposure at the third trimester of life. Our CalEEMod emissions indicate that construction will
produce approximately 380 pounds of diesel particulate matter (“DPM”) over the 730-day period. 10 The
AERSCREEN model simulates maximum concentrations from emission sources using an average emission
rate. We calculated this average DPM emission rate to account for variations in equipment usage and
truck trips during construction using the following equation:
Emission Rate ቀ grams
secondቁ = 380 lbs
730 days × 453.6 grams
lbs × 1 day
24 hours × 1 hour
3,600 seconds =. /ܛ
We estimated a construction emission rate of 0.00144 grams per second (“g/s”). Construction was
simulated as a 2.27-acre rectangular area source in AERSCREEN, with approximate dimensions of 136-
by 68-meters. A release height of 3 meters was selected to represent the height of stacks of heavy-duty
vehicles, and an initial vertical dimension of one and a half meters was used to simulate instantaneous
plume dispersion upon release. An urban meteorological setting was selected with model-default inputs
for wind speed and direction distribution. The population of the city of Arcadia was obtained from U.S.
2023 Census data.11
The AERSCREEN model generates maximum reasonable estimates of single-hour DPM concentrations
from the Project Site. U.S. Environmental Protection Agency (“U.S. EPA”) guidance suggests that in
screening procedures, the annualized average concentration of an air pollutant to be estimated by
multiplying the single-hour concentration by 10%.12 According to the AERSCREEN output files the
maximally exposed individual receptor would be located 75 meters from the Project site. However, the
IS/MD states that the nearest sensitive receptors are residences located approximately 280 feet, or 85
meters, from the Project site (p. 3-10). The single-hour concentration estimated by AERSCREEN for
Project construction is 2.670 ђg/m3 DPM at around 100 meters downwind.13 Multiplying this single-hour
8 See Attachment A for the proportionately altered construction phases’ calculations.
9 See Attachment B for SWAPE’s CalEEMod output files.
10 See Attachment C for health risk calculations.
11 “Arcadia” U.S. Census Bureau, 2023, available at: https://datacommons.org/place/geoId/0602462?q=arcadia.
12 “Screening Procedures for Estimating the Air Quality Impact of Stationary Sources Revised.” U.S. EPA, October
1992, available at: https://www.epa.gov/sites/default/files/2020-09/documents/epa-454r-92-019_ocr.pdf.
13 Note: AERSCREEN output files come in increments of 25 meters, so our emissions calculations are slightly
underestimated.
5
concentration by 10%, we get an annualized average concentration of 0.2670 ђg/m3 for Project
construction at the nearest sensitive receptor.14
The excess cancer risk to the nearest sensitive receptor was calculated using applicable HRA
methodologies as prescribed by OEHHA, in accordance with SCAQMD recommendation. 15 Guidance
from OEHHA and California Air Resources Board (“CARB”) suggests utilizing a standard point estimate
approach, with high-point estimate breathing rates and age sensitivity factors (“ASF”) to accurately
assess risk, especially for susceptible populations like children. The residential exposure parameters
considered in our screening-level HRA include daily breathing rates, exposure duration, ASFs, fraction of
time at home, and exposure frequency for different age groups (see table below).
Exposure Assumptions for Residential Individual Cancer Risk
Age Group
Breathing
Rate
(L/kg-day)16
Age
Sensitivity
Factor 17
Exposure
Duration
(years)
Fraction of
Time at
Home 18
Exposure
Frequency
(days/year)19
Exposure
Time
(hours/day)
3rd Trimester 361 10 0.25 1 350 24
Infant (0 – 2) 1090 10 2 1 350 24
Child (2 – 16) 572 3 14 1 350 24
Adult (16 –
30) 261 1 14 0.73 350 24
The procedure requires the incorporation of several discrete variates to effectively quantify dose per
age group for the inhalation pathway. Contaminate dose is then multiplied by the cancer potency factor
in units of inverse dose expressed in milligrams per kilogram per day (mg/kg/day-1) to derive the cancer
risk estimate. The following dose algorithm was used to assess exposure assumptions:
14 See Attachment D for AERSCREEN output files.
15 “Supplemental Guidelines for Preparing Risk Assessments for the Air Toxics ‘Hot Spots’ Information and
Assessment Act.” SCAQMD, October 2020, available at: http://www.aqmd.gov/docs/default-source/planning/risk-
assessment/ab-2588-supplemental-guidelines.pdf?sfvrsn=19, p. 19; see also “Risk Assessment Guidelines Guidance
Manual for Preparation of Health Risk Assessments.” OEHHA, February 2015, available at:
https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf.
16 “Supplemental Guidelines for Preparing Risk Assessments for the Air Toxics ‘Hot Spots’ Information and
Assessment Act.” SCAQMD, October 2020, available at: http://www.aqmd.gov/docs/default-source/planning/risk-
assessment/ab-2588-supplemental-guidelines.pdf?sfvrsn=19, p. 19; see also “Risk Assessment Guidelines Guidance
Manual for Preparation of Health Risk Assessments.” OEHHA, February 2015, available at:
https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf.
17 “Risk Assessment Guidelines Guidance Manual for Preparation of Health Risk Assessments.” OEHHA, February
2015, available at: https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf, p. 8-5 Table 8.3.
18 “Risk Assessment Procedures.” SCAQMD, August 2017, available at: http://www.aqmd.gov/docs/default-
source/rule-book/Proposed-Rules/1401/riskassessmentprocedures_2017_080717.pdf, p. 7.
19 “Risk Assessment Guidelines Guidance Manual for Preparation of Health Risk Assessments.” OEHHA, February
2015, available at: https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf, p. 5-24.
6
Dose୍ୖ,୮ୣ୰ ୟୣ ୰୭୳୮ = Cୟ୧୰ × EF × BR
BW൨ × A × CF
where:
DoseAIR = dose by inhalation (mg/kg/day), per age group
Cair сĐŽŶĐĞŶƚƌĂƚŝŽŶŽĨĐŽŶƚĂŵŝŶĂŶƚŝŶĂŝƌ;ʅŐͬŵϯͿ
EF = exposure frequency (number of days/365 days)
BR/BW = daily breathing rate normalized to body weight (L/kg/day)
A = inhalation absorption factor (default = 1)
CF = conversion factor (1x10-ϲ͕ʅŐƚŽŵŐ͕>ƚŽŵϯͿ
We used the following equation to calculate the overall cancer risk per appropriate age group:
Cancer Risk ୍ୖ = Dose୍ୖ ×CPF ×ASF ×FAH ×ED
AT
where:
DoseAIR = dose by inhalation (mg/kg/day), per age group
CPF = cancer potency factor, chemical-specific (mg/kg/day)-1
ASF = age sensitivity factor, per age group
FAH = fraction of time at home, per age group (for residential receptors only)
ED = exposure duration (years)
AT = averaging time period over which exposure duration is averaged (always 70 years)
Consistent with the 730-day construction schedule, the annualized average concentration for
construction was used for the entire third trimester of pregnancy (0.25 years) and the first 1.75 years of
the infantile stage of life (0 – 2 years). The results of our calculations are shown in the table below.
The Maximally Exposed Individual at an Existing Residential Receptor During Project Construction
Age Group Duration (years) Concentration
(ug/m3) Cancer Risk
3rd Trimester 0.25 0.2670 3.63E-06
Infant (0 - 2) 1.75 0.2670 7.67E-05
Construction 2 8.04E-05
The excess cancer risks for the 3rd trimester of pregnancy and infant stage of life at the nearest sensitive
receptor, over the course of Project construction are approximately 3.63 and 76.7 in one million,
respectively. The excess cancer risk over just the course of the Project construction is approximately
7
80.4 in one million, which exceeds the SCAQMD threshold of 10 in one million. This results in a
potentially significant impact not previously addressed or identified in the IS/MND.
Our analysis represents a conservative screening-level HRA, which prioritizes public health. It is used to
show the potential correlation between Project emissions and adverse health risks. The U.S. EPA
recommends the use of a screening-level analysis as the first phase of a tiered approach to conducting
exposure assumptions, as outlined in their Exposure Assessment Guidelines.
20 Screening-level analyses
require further evaluation with more developed modeling. Our initial HRA demonstrates that Project
construction could lead to significant health risks. An EIR should be prepared to include a
comprehensive HRA that properly evaluates impacts from construction.
Greenhouse Gas
Failure to Adequately Evaluate Greenhouse Gas Impacts
The IS/MND estimates that the Project will produce a net annual GHG emissions of 2,181-metric-tons of
carbon dioxide equivalents per year (“MT CO2e/year”) (p. 3-50, Table 17).
The IS/MND indicates that the GHG emission values are included in Appendix A. However, as previously
addressed, the IS/MND’s CalEEMod output files do not provide the emissions estimates or include any
relevant inputs beyond the land uses. We are therefore unable to verify the legitimacy of the estimates
presented in the table above and, as such, the Project’s GHG emissions could be underestimated. Until
an EIR is prepared to include complete CalEEMod output files we cannot ensure the Project’s GHG
emissions are accurately calculated and the IS/MND’s GHG analysis should not be relied upon for Project
significance.
Mitigation
Feasible Mitigation Measures Available to Reduce Emissions
As the Project would result in a potentially significant health risk impact to individuals in the community
surrounding the Project site, the IS/MND must include all feasible mitigation to address the Project’s
potential air quality and health risks. According to CEQA Guidelines § 15096(g)(2):
20 “Guidelines for Exposure Assessment.” U.S. Environmental Protection Agency, 1992,available at:
https://cfpub.epa.gov/ncea/risk/recordisplay.cfm?deid=15263.
8
“When an updated EIR has been prepared for a project, the Responsible Agency shall not
approve the project as proposed if the agency finds any feasible alternative or feasible
mitigation measures within its powers that would substantially lessen or avoid any significant
effect the project would have on the environment.”
The IS/MND should evaluate the following mitigation measures to reduce the DPM emissions associated
with Project construction (see list below).
The Southern California Association of Governments’ 2020 Regional Transportation Plan/Sustainable
Communities Strategy Program Environmental Impact Report provides the following mitigation
measures:21
x Minimize unnecessary vehicular and machinery activities.
x Require contractors to assemble a comprehensive inventory list (i.e., make, model, engine year,
horsepower, emission rates) of all heavy-duty off-road (portable and mobile) equipment (50
horsepower and greater) that could be used an aggregate of 40 or more hours for the
construction project.
x Ensure all construction equipment is properly tuned and maintained.
x Minimizing idling time to 5 minutes or beyond regulatory requirements —saves fuel and reduces
emissions.
x Utilize existing power sources (e.g., power poles) or clean fuel generators rather than temporary
power generators.
x Develop a traffic plan to minimize community impacts due to traffic flow interference from
construction activities. The plan may include advance public notice of routing, use of public
transportation, and satellite parking areas with a shuttle service. Schedule operations affecting
traffic for off-peak hours. Minimize obstruction of through-traffic lanes. Provide a flag person to
guide traffic properly and ensure safety at construction sites. Project sponsors should consider
developing a goal for the minimization of community impacts.
x Require projects to use Tier 4 Final equipment or better for all engines above 50 horsepower
(hp). If construction equipment cannot meet to Tier 4 Final engine certification, the Project
representative or contractor must demonstrate through future study with written findings
supported by substantial evidence that is approved by SCAG before using other
technologies/strategies. Alternative applicable strategies may include, but would not be limited
to, construction equipment with Tier 4 Interim or reduction in the number and/or horsepower
rating of construction equipment and/or limiting the number of construction equipment
operating at the same time. All equipment must be tuned and maintained in compliance with
the manufacturer’s recommended maintenance schedule and specifications. All maintenance
records for each equipment and their contractor(s) should make available for inspection and
21 “4.0 Mitigation Measures.” Connect SoCal Program Environmental Impact Report Addendum #1, September
2020, available at: https://scag.ca.gov/sites/main/files/file-
attachments/fpeir_connectsocal_addendum_4_mitigationmeasures.pdf?1606004420, p. 4.0-2 – 4.0-10; 4.0-19 –
4.0-23; See also: “Certified Final Connect SoCal Program Environmental Impact Report.” SCAG, May 2020, available
at: https://scag.ca.gov/peir.
9
remain on-site for a period of at least two years from completion of construction, unless the
individual project can demonstrate that Tier 4 engines would not be required to mitigate
emissions below significance thresholds. Project sponsors should also consider including ZE/ZNE
technologies where appropriate and feasible.
The CalEEMod User’s Guide confirms that the methods for mitigating DPM emissions include the use of
“alternative fuel, electric equipment, diesel particulate filters (DPF), oxidation catalysts, newer tier
engines, and dust suppression.”22
The proposed mitigation measures would effectively reduce Project-related DPM emissions by
integrating lower-emitting design features into the Project, thereby minimizing emissions during
construction. An EIR should be prepared to include all feasible mitigation measures and updated air
quality, health risk, and GHG analyses. This will ensure that necessary mitigation measures are
implemented to reduce emissions to the greatest extent possible.
Disclaimer
SWAPE has received limited documentation regarding this project. Additional information may become
available in the future; thus, we retain the right to revise or amend this report when additional
information becomes available. Our professional services have been performed using that degree of
care and skill ordinarily exercised, under similar circumstances, by reputable environmental consultants
practicing in this or similar localities at the time of service. No other warranty, expressed or implied, is
made as to the scope of work, work methodologies and protocols, site conditions, analytical testing
results, and findings presented. This report reflects efforts which were limited to information that was
reasonably accessible at the time of the work, and may contain informational gaps, inconsistencies, or
otherwise be incomplete due to the unavailability or uncertainty of information obtained or provided by
third parties.
Sincerely,
Matt Hagemann, P.G., C.Hg.
Paul E. Rosenfeld, Ph.D.
22 “Calculation Details for CalEEMod.” CAPCOA, May 2021, available at:http://www.aqmd.gov/docs/default-
source/caleemod/user-guide-2021/appendix-a2020-4-0.pdf?sfvrsn=6, Appendix A, p. 60.
ƚƚĂĐŚŵĞŶƚ͗ŽŶƐƚƌƵĐƚŝŽŶĂůĐƵůĂƚŝŽŶƐ
ƚƚĂĐŚŵĞŶƚ͗ĂůDŽĚKƵƚƉƵƚ&ŝůĞƐ
ƚƚĂĐŚŵĞŶƚ͗,ĞĂůƚŚZŝƐŬĂůĐƵůĂƚŝŽŶƐ
ƚƚĂĐŚŵĞŶƚ͗Z^ZEKƵƚƉƵƚ&ŝůĞƐ
ƚƚĂĐŚŵĞŶƚ͗DĂƚƚ,ĂŐĞŵĂŶŶs
ƚƚĂĐŚŵĞŶƚ&͗WĂƵůZŽƐĞŶĨĞůĚs
Phase
Default Phase
Length
Construction
Duration %
Construction
Duration
Revised Phase
Length
Demolition 20 381 0.0525 891 47
Site Preparation 3 381 0.0079 891 7
Grading 6 381 0.0157 891 14
Construction 220 381 0.5774 891 514
Paving 10 381 0.0262 891 23
Architectural Coating 10 381 0.0262 891 23
Total Default
Construction
Duration
Revised
Construction
Duration
Start Date 1/1/2026 1/1/2026
End Date 1/17/2027 6/10/2028
Total Days 381 891
Construction Schedule Calculations
ƚƚĂĐŚŵĞŶƚ
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Arcadia Town Center Detailed Report
Table of Contents
1. Basic Project Information
1.1. Basic Project Information
1.2. Land Use Types
1.3. User-Selected Emission Reduction Measures by Emissions Sector
2. Emissions Summary
2.1. Construction Emissions Compared Against Thresholds
2.2. Construction Emissions by Year, Unmitigated
2.4. Operations Emissions Compared Against Thresholds
2.5. Operations Emissions by Sector, Unmitigated
3. Construction Emissions Details
3.1. Demolition (2026) - Unmitigated
3.3. Site Preparation (2026) - Unmitigated
3.5. Grading (2026) - Unmitigated
3.7. Building Construction (2026) - Unmitigated
3.9. Building Construction (2027) - Unmitigated
ƚƚĂĐŚŵĞŶƚ
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3.11. Building Construction (2028) - Unmitigated
3.13. Paving (2028) - Unmitigated
3.15. Architectural Coating (2028) - Unmitigated
4. Operations Emissions Details
4.1. Mobile Emissions by Land Use
4.1.1. Unmitigated
4.2. Energy
4.2.1. Electricity Emissions By Land Use - Unmitigated
4.2.3. Natural Gas Emissions By Land Use - Unmitigated
4.3. Area Emissions by Source
4.3.1. Unmitigated
4.4. Water Emissions by Land Use
4.4.1. Unmitigated
4.5. Waste Emissions by Land Use
4.5.1. Unmitigated
4.6. Refrigerant Emissions by Land Use
4.6.1. Unmitigated
4.7. Offroad Emissions By Equipment Type
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4.7.1. Unmitigated
4.8. Stationary Emissions By Equipment Type
4.8.1. Unmitigated
4.9. User Defined Emissions By Equipment Type
4.9.1. Unmitigated
4.10. Soil Carbon Accumulation By Vegetation Type
4.10.1. Soil Carbon Accumulation By Vegetation Type - Unmitigated
4.10.2. Above and Belowground Carbon Accumulation by Land Use Type - Unmitigated
4.10.3. Avoided and Sequestered Emissions by Species - Unmitigated
5. Activity Data
5.1. Construction Schedule
5.2. Off-Road Equipment
5.2.1. Unmitigated
5.3. Construction Vehicles
5.3.1. Unmitigated
5.4. Vehicles
5.4.1. Construction Vehicle Control Strategies
5.5. Architectural Coatings
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5.6. Dust Mitigation
5.6.1. Construction Earthmoving Activities
5.6.2. Construction Earthmoving Control Strategies
5.7. Construction Paving
5.8. Construction Electricity Consumption and Emissions Factors
5.9. Operational Mobile Sources
5.9.1. Unmitigated
5.10. Operational Area Sources
5.10.1. Hearths
5.10.1.1. Unmitigated
5.10.2. Architectural Coatings
5.10.3. Landscape Equipment
5.11. Operational Energy Consumption
5.11.1. Unmitigated
5.12. Operational Water and Wastewater Consumption
5.12.1. Unmitigated
5.13. Operational Waste Generation
5.13.1. Unmitigated
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5.14. Operational Refrigeration and Air Conditioning Equipment
5.14.1. Unmitigated
5.15. Operational Off-Road Equipment
5.15.1. Unmitigated
5.16. Stationary Sources
5.16.1. Emergency Generators and Fire Pumps
5.16.2. Process Boilers
5.17. User Defined
5.18. Vegetation
5.18.1. Land Use Change
5.18.1.1. Unmitigated
5.18.1. Biomass Cover Type
5.18.1.1. Unmitigated
5.18.2. Sequestration
5.18.2.1. Unmitigated
6. Climate Risk Detailed Report
6.1. Climate Risk Summary
6.2. Initial Climate Risk Scores
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6.3. Adjusted Climate Risk Scores
6.4. Climate Risk Reduction Measures
7. Health and Equity Details
7.1. CalEnviroScreen 4.0 Scores
7.2. Healthy Places Index Scores
7.3. Overall Health & Equity Scores
7.4. Health & Equity Measures
7.5. Evaluation Scorecard
7.6. Health & Equity Custom Measures
8. User Changes to Default Data
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1. Basic Project Information
1.1. Basic Project Information
Data Field Value
Project Name Arcadia Town Center
Construction Start Date 1/1/2026
Operational Year 2028
Lead Agency —
Land Use Scale Project/site
Analysis Level for Defaults County
Windspeed (m/s)0.50
Precipitation (days)24.4
Location 34.140403578150526, -118.03194606892856
County Los Angeles-South Coast
City Arcadia
Air District South Coast AQMD
Air Basin South Coast
TAZ 4922
EDFZ 7
Electric Utility Southern California Edison
Gas Utility Southern California Gas
App Version 2022.1.1.29
1.2. Land Use Types
Land Use Subtype Size Unit Lot Acreage Building Area (sq ft)Landscape Area (sq
ft)
Special Landscape
Area (sq ft)
Population Description
Apartments Mid
Rise
181 Dwelling Unit 2.27 173,760 2,000 — 536 —
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Enclosed Parking
with Elevator
378 Space 0.00 151,200 0.00 — — —
City Park 1.00 Acre 0.00 0.00 21,825 21,825 — —
User Defined
Recreational
5.00 User Defined Unit 0.00 5,000 1,000 1,000 — —
Strip Mall 4.00 1000sqft 0.09 4,000 800 — — —
General Office
Building
5.00 1000sqft 0.11 5,000 1,000 — — —
1.3. User-Selected Emission Reduction Measures by Emissions Sector
No measures selected
2. Emissions Summary
2.1. Construction Emissions Compared Against Thresholds
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Un/Mit.TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Unmit. 3.71 1.95 45.7 27.6 0.21 0.93 14.7 15.6 0.89 5.49 6.38 — 29,843 29,843 1.62 4.38 61.6 31,250
Daily,
Winter
(Max)
——————————————————
Unmit. 3.67 1.95 47.0 27.6 0.21 0.93 14.7 15.6 0.89 5.49 6.38 — 29,847 29,847 1.62 4.38 1.60 31,194
Average
Daily
(Max)
——————————————————
Unmit. 1.62 1.33 10.4 16.5 0.03 0.31 2.16 2.47 0.28 0.59 0.87 — 4,825 4,825 0.22 0.34 4.01 4,936
Annual
(Max)
——————————————————
Unmit. 0.30 0.24 1.89 3.01 0.01 0.06 0.40 0.45 0.05 0.11 0.16 — 799 799 0.04 0.06 0.66 817
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2.2. Construction Emissions by Year, Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Year TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily -
Summer
(Max)
——————————————————
2026 3.71 1.95 45.7 27.6 0.21 0.93 14.7 15.6 0.89 5.49 6.38 — 29,843 29,843 1.62 4.38 61.6 31,250
2027 2.25 1.88 11.9 24.4 0.03 0.33 3.00 3.33 0.31 0.72 1.03 — 6,262 6,262 0.26 0.31 11.9 6,373
2028 0.79 0.66 5.58 9.02 0.01 0.20 0.52 0.54 0.19 0.12 0.23 — 1,440 1,440 0.05 0.02 1.48 1,447
Daily -
Winter
(Max)
——————————————————
2026 3.67 1.95 47.0 27.6 0.21 0.93 14.7 15.6 0.89 5.49 6.38 — 29,847 29,847 1.62 4.38 1.60 31,194
2027 2.24 1.86 12.1 22.6 0.03 0.33 3.00 3.33 0.31 0.72 1.03 — 6,126 6,126 0.18 0.31 0.31 6,223
2028 2.15 1.78 11.5 21.9 0.03 0.30 3.00 3.29 0.27 0.72 0.99 — 6,049 6,049 0.17 0.31 0.28 6,145
Average
Daily
——————————————————
2026 1.62 1.30 10.4 15.9 0.03 0.31 2.16 2.47 0.28 0.59 0.87 — 4,825 4,825 0.22 0.34 4.01 4,936
2027 1.60 1.33 8.68 16.5 0.02 0.24 2.11 2.34 0.22 0.51 0.72 — 4,402 4,402 0.13 0.22 3.68 4,474
2028 0.42 0.35 2.31 4.43 0.01 0.06 0.53 0.59 0.06 0.13 0.18 — 1,130 1,130 0.03 0.05 0.83 1,148
Annual——————————————————
2026 0.30 0.24 1.89 2.90 0.01 0.06 0.40 0.45 0.05 0.11 0.16 — 799 799 0.04 0.06 0.66 817
2027 0.29 0.24 1.58 3.01 < 0.005 0.04 0.38 0.43 0.04 0.09 0.13 — 729 729 0.02 0.04 0.61 741
2028 0.08 0.06 0.42 0.81 < 0.005 0.01 0.10 0.11 0.01 0.02 0.03 — 187 187 0.01 0.01 0.14 190
2.4. Operations Emissions Compared Against Thresholds
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Un/Mit.TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
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——————————————————Daily,
Summer
(Max)
Unmit. 62.8 57.1 7.13 142 0.32 13.0 7.62 20.7 12.8 1.94 14.7 1,788 14,202 15,990 14.9 0.43 23.9 16,513
Daily,
Winter
(Max)
——————————————————
Unmit. 60.5 55.0 7.22 122 0.31 13.0 7.62 20.6 12.8 1.94 14.7 1,788 13,807 15,595 14.9 0.44 1.87 16,101
Average
Daily
(Max)
——————————————————
Unmit. 13.0 12.1 3.67 46.8 0.09 0.99 7.03 8.01 0.96 1.79 2.75 208 10,417 10,626 10.1 0.37 10.4 10,999
Annual
(Max)
——————————————————
Unmit. 2.36 2.21 0.67 8.54 0.02 0.18 1.28 1.46 0.18 0.33 0.50 34.5 1,725 1,759 1.68 0.06 1.73 1,821
2.5. Operations Emissions by Sector, Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Sector TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Mobile 4.07 3.69 2.66 31.9 0.08 0.05 7.62 7.67 0.04 1.94 1.98 — 8,161 8,161 0.37 0.31 22.6 8,286
Area 58.7 53.4 3.91 110 0.24 12.9 — 12.9 12.7 — 12.7 1,695 3,296 4,992 5.06 0.06 — 5,137
Energy 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 2,660 2,660 0.18 0.02 — 2,670
Water———————————15.284.799.91.560.04—150
Waste———————————77.00.0077.07.690.00—269
Refrig.————————————————1.281.28
Total 62.8 57.1 7.13 142 0.32 13.0 7.62 20.7 12.8 1.94 14.7 1,788 14,202 15,990 14.9 0.43 23.9 16,513
Daily,
Winter
(Max)
——————————————————
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Mobile 4.03 3.65 2.91 29.4 0.08 0.05 7.62 7.67 0.04 1.94 1.98 — 7,823 7,823 0.39 0.33 0.59 7,931
Area 56.5 51.3 3.76 92.0 0.23 12.9 — 12.9 12.7 — 12.7 1,695 3,239 4,935 5.05 0.06 — 5,080
Energy 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 2,660 2,660 0.18 0.02 — 2,670
Water———————————15.284.799.91.560.04—150
Waste———————————77.00.0077.07.690.00—269
Refrig.————————————————1.281.28
Total 60.5 55.0 7.22 122 0.31 13.0 7.62 20.6 12.8 1.94 14.7 1,788 13,807 15,595 14.9 0.44 1.87 16,101
Average
Daily
——————————————————
Mobile 3.75 3.39 2.75 28.2 0.07 0.04 7.03 7.07 0.04 1.79 1.83 — 7,411 7,411 0.36 0.31 9.14 7,522
Area 9.14 8.69 0.37 18.3 0.02 0.90 — 0.90 0.88 — 0.88 116 261 377 0.35 < 0.005 — 387
Energy 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 2,660 2,660 0.18 0.02 — 2,670
Water———————————15.284.799.91.560.04—150
Waste———————————77.00.0077.07.690.00—269
Refrig.————————————————1.281.28
Total 13.0 12.1 3.67 46.8 0.09 0.99 7.03 8.01 0.96 1.79 2.75 208 10,417 10,626 10.1 0.37 10.4 10,999
Annual——————————————————
Mobile 0.68 0.62 0.50 5.16 0.01 0.01 1.28 1.29 0.01 0.33 0.33 — 1,227 1,227 0.06 0.05 1.51 1,245
Area1.671.590.073.33<0.0050.16— 0.160.16— 0.1619.243.262.40.06<0.005— 64.1
Energy 0.01 0.01 0.10 0.05 < 0.005 0.01 — 0.01 0.01 — 0.01 — 440 440 0.03 < 0.005 — 442
Water———————————2.5214.016.50.260.01—24.9
Waste———————————12.70.0012.71.270.00—44.6
Refrig.————————————————0.210.21
Total 2.36 2.21 0.67 8.54 0.02 0.18 1.28 1.46 0.18 0.33 0.50 34.5 1,725 1,759 1.68 0.06 1.73 1,821
3. Construction Emissions Details
3.1. Demolition (2026) - Unmitigated
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Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.66 1.39 12.9 14.6 0.02 0.51 — 0.51 0.47 — 0.47 — 2,494 2,494 0.10 0.02 — 2,503
Demoliti
on
——————0.000.00—0.000.00———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.21 0.18 1.67 1.88 < 0.005 0.07 — 0.07 0.06 — 0.06 — 321 321 0.01 < 0.005 — 322
Demoliti
on
——————0.000.00—0.000.00———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.04 0.03 0.30 0.34 < 0.005 0.01 — 0.01 0.01 — 0.01 — 53.2 53.2 < 0.005 < 0.005 — 53.4
Demoliti
on
——————0.000.00—0.000.00———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
Worker 0.05 0.05 0.05 0.69 0.00 0.00 0.16 0.16 0.00 0.04 0.04 — 161 161 0.01 0.01 0.01 163
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker 0.01 0.01 0.01 0.09 0.00 0.00 0.02 0.02 0.00 < 0.005 < 0.005 — 21.0 21.0 < 0.005 < 0.005 0.03 21.3
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 0.02 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 3.47 3.47 < 0.005 < 0.005 0.01 3.52
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.3. Site Preparation (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
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2,725—0.020.112,7162,716—0.39—0.390.42—0.420.0310.89.841.131.34Off-Roa
d
Equipm
Dust
From
Material
Movement
——————1.591.59—0.170.17———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.03 0.02 0.19 0.21 < 0.005 0.01 — 0.01 0.01 — 0.01 — 52.1 52.1 < 0.005 < 0.005 — 52.3
Dust
From
Material
Movement
——————0.030.03—<0.005<0.005———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 0.03 0.04 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 8.62 8.62 < 0.005 < 0.005 — 8.65
Dust
From
Material
Movement
——————0.010.01—<0.005<0.005———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
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——————————————————Daily,
Winter
(Max)
Worker 0.03 0.03 0.03 0.41 0.00 0.00 0.10 0.10 0.00 0.02 0.02 — 96.3 96.3 < 0.005 < 0.005 0.01 97.5
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker < 0.005 < 0.005 < 0.005 0.01 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 1.87 1.87 < 0.005 < 0.005 < 0.005 1.90
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.31 0.31 < 0.005 < 0.005 < 0.005 0.31
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.5. Grading (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.70 1.42 12.9 14.0 0.02 0.58 — 0.58 0.53 — 0.53 — 2,455 2,455 0.10 0.02 — 2,463
Dust
From
Material
Movement
——————7.107.10—3.433.43———————
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0.000.000.000.000.000.00—0.000.000.000.000.000.000.000.000.000.000.00Onsite
truck
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.70 1.42 12.9 14.0 0.02 0.58 — 0.58 0.53 — 0.53 — 2,455 2,455 0.10 0.02 — 2,463
Dust
From
Material
Movement
——————7.107.10—3.433.43———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.07 0.05 0.49 0.54 < 0.005 0.02 — 0.02 0.02 — 0.02 — 94.2 94.2 < 0.005 < 0.005 — 94.5
Dust
From
Material
Movement
——————0.270.27—0.130.13———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.01 0.01 0.09 0.10 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 15.6 15.6 < 0.005 < 0.005 — 15.6
Dust
From
Material
Movement
——————0.050.05—0.020.02———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Worker 0.04 0.04 0.04 0.65 0.00 0.00 0.13 0.13 0.00 0.03 0.03 — 135 135 0.01 < 0.005 0.46 137
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 1.97 0.43 32.8 12.9 0.19 0.35 7.43 7.78 0.35 2.03 2.39 — 27,252 27,252 1.51 4.35 61.1 28,649
Daily,
Winter
(Max)
——————————————————
Worker 0.04 0.04 0.04 0.55 0.00 0.00 0.13 0.13 0.00 0.03 0.03 — 128 128 0.01 < 0.005 0.01 130
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 1.93 0.41 34.1 13.0 0.19 0.35 7.43 7.78 0.35 2.03 2.39 — 27,264 27,264 1.51 4.35 1.59 28,601
Average
Daily
——————————————————
Worker < 0.005 < 0.005 < 0.005 0.02 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 5.00 5.00 < 0.005 < 0.005 0.01 5.07
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.07 0.02 1.32 0.50 0.01 0.01 0.28 0.30 0.01 0.08 0.09 — 1,045 1,045 0.06 0.17 1.01 1,098
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.83 0.83 < 0.005 < 0.005 < 0.005 0.84
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.01 < 0.005 0.24 0.09 < 0.005 < 0.005 0.05 0.05 < 0.005 0.01 0.02 — 173 173 0.01 0.03 0.17 182
3.7. Building Construction (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
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2,208—0.020.092,2012,201—0.33—0.330.36—0.360.0211.810.11.181.41Off-Roa
d
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.41 1.18 10.1 11.8 0.02 0.36 — 0.36 0.33 — 0.33 — 2,201 2,201 0.09 0.02 — 2,208
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.74 0.62 5.32 6.19 0.01 0.19 — 0.19 0.17 — 0.17 — 1,159 1,159 0.05 0.01 — 1,163
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.14 0.11 0.97 1.13 < 0.005 0.03 — 0.03 0.03 — 0.03 — 192 192 0.01 < 0.005 — 192
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Worker 0.83 0.73 0.77 12.8 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,694 2,694 0.11 0.09 9.11 2,734
Vendor 0.10 0.04 1.60 0.77 0.01 0.02 0.40 0.42 0.01 0.11 0.12 — 1,447 1,447 0.06 0.21 3.91 1,514
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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Daily,
Winter
(Max)
——————————————————
Worker 0.83 0.73 0.87 11.0 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,553 2,553 0.12 0.09 0.24 2,585
Vendor 0.10 0.04 1.67 0.79 0.01 0.02 0.40 0.42 0.01 0.11 0.12 — 1,448 1,448 0.06 0.21 0.10 1,511
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker 0.43 0.38 0.50 6.04 0.00 0.00 1.35 1.35 0.00 0.32 0.32 — 1,364 1,364 0.06 0.05 2.08 1,382
Vendor 0.05 0.02 0.88 0.41 0.01 0.01 0.21 0.22 0.01 0.06 0.06 — 762 762 0.03 0.11 0.89 796
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker 0.08 0.07 0.09 1.10 0.00 0.00 0.25 0.25 0.00 0.06 0.06 — 226 226 0.01 0.01 0.34 229
Vendor 0.01 < 0.005 0.16 0.08 < 0.005 < 0.005 0.04 0.04 < 0.005 0.01 0.01 — 126 126 0.01 0.02 0.15 132
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.9. Building Construction (2027) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.35 1.13 9.70 11.7 0.02 0.32 — 0.32 0.30 — 0.30 — 2,201 2,201 0.09 0.02 — 2,208
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
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Off-Roa
Equipment
1.35 1.13 9.70 11.7 0.02 0.32 — 0.32 0.30 — 0.30 — 2,201 2,201 0.09 0.02 — 2,208
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.97 0.81 6.93 8.36 0.02 0.23 — 0.23 0.21 — 0.21 — 1,572 1,572 0.06 0.01 — 1,577
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.18 0.15 1.26 1.53 < 0.005 0.04 — 0.04 0.04 — 0.04 — 260 260 0.01 < 0.005 — 261
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Worker 0.80 0.71 0.69 11.9 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,642 2,642 0.11 0.09 8.23 2,681
Vendor 0.09 0.04 1.53 0.73 0.01 0.01 0.40 0.41 0.01 0.11 0.12 — 1,419 1,419 0.06 0.20 3.70 1,483
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Worker 0.79 0.69 0.86 10.1 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,505 2,505 0.04 0.09 0.21 2,534
Vendor 0.09 0.04 1.59 0.74 0.01 0.01 0.40 0.41 0.01 0.11 0.12 — 1,420 1,420 0.06 0.20 0.10 1,480
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
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Worker 0.57 0.49 0.61 7.59 0.00 0.00 1.83 1.83 0.00 0.43 0.43 — 1,815 1,815 0.03 0.07 2.53 1,839
Vendor 0.07 0.03 1.14 0.53 0.01 0.01 0.28 0.29 0.01 0.08 0.08 — 1,014 1,014 0.04 0.14 1.14 1,058
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker 0.10 0.09 0.11 1.39 0.00 0.00 0.33 0.33 0.00 0.08 0.08 — 301 301 < 0.005 0.01 0.42 304
Vendor 0.01 0.01 0.21 0.10 < 0.005 < 0.005 0.05 0.05 < 0.005 0.01 0.02 — 168 168 0.01 0.02 0.19 175
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.11. Building Construction (2028) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.29 1.08 9.23 11.7 0.02 0.28 — 0.28 0.26 — 0.26 — 2,201 2,201 0.09 0.02 — 2,209
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.21 0.18 1.52 1.92 < 0.005 0.05 — 0.05 0.04 — 0.04 — 362 362 0.01 < 0.005 — 363
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
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Off-Roa
Equipment
0.04 0.03 0.28 0.35 < 0.005 0.01 — 0.01 0.01 — 0.01 — 59.9 59.9 < 0.005 < 0.005 — 60.1
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
Worker 0.77 0.67 0.77 9.53 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,460 2,460 0.03 0.09 0.19 2,489
Vendor 0.09 0.03 1.52 0.71 0.01 0.01 0.40 0.41 0.01 0.11 0.12 — 1,387 1,387 0.05 0.20 0.09 1,447
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker 0.13 0.11 0.13 1.64 0.00 0.00 0.42 0.42 0.00 0.10 0.10 — 410 410 0.01 0.02 0.53 416
Vendor 0.02 0.01 0.25 0.12 < 0.005 < 0.005 0.06 0.07 < 0.005 0.02 0.02 — 228 228 0.01 0.03 0.25 238
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker 0.02 0.02 0.02 0.30 0.00 0.00 0.08 0.08 0.00 0.02 0.02 — 67.9 67.9 < 0.005 < 0.005 0.09 68.8
Vendor < 0.005 < 0.005 0.05 0.02 < 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 < 0.005 — 37.7 37.7 < 0.005 0.01 0.04 39.4
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.13. Paving (2028) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
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Off-Roa
Equipment
0.73 0.61 5.53 8.18 0.01 0.20 — 0.20 0.19 — 0.19 — 1,244 1,244 0.05 0.01 — 1,248
Paving0.000.00————————————————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
0.73 0.61 5.53 8.18 0.01 0.20 — 0.20 0.19 — 0.19 — 1,244 1,244 0.05 0.01 — 1,248
Paving0.000.00————————————————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.05 0.04 0.35 0.52 < 0.005 0.01 — 0.01 0.01 — 0.01 — 78.4 78.4 < 0.005 < 0.005 — 78.6
Paving0.000.00————————————————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.01 0.01 0.06 0.09 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 13.0 13.0 < 0.005 < 0.005 — 13.0
Paving0.000.00————————————————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
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——————————————————Daily,
Summer
(Max)
Worker 0.06 0.05 0.05 0.85 0.00 0.00 0.20 0.20 0.00 0.05 0.05 — 196 196 < 0.005 0.01 0.56 198
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Worker 0.06 0.05 0.06 0.72 0.00 0.00 0.20 0.20 0.00 0.05 0.05 — 186 186 < 0.005 0.01 0.01 188
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker < 0.005 < 0.005 < 0.005 0.05 0.00 0.00 0.01 0.01 0.00 < 0.005 < 0.005 — 11.9 11.9 < 0.005 < 0.005 0.02 12.0
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 0.01 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 1.97 1.97 < 0.005 < 0.005 < 0.005 1.99
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.15. Architectural Coating (2028) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
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134—< 0.0050.01134134—0.01—0.010.02—0.02< 0.0051.120.810.110.13Off-Roa
d
Equipm
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.01 0.01 0.05 0.07 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 8.41 8.41 < 0.005 < 0.005 — 8.44
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 1.39 1.39 < 0.005 < 0.005 — 1.40
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Worker 0.15 0.14 0.14 2.24 0.00 0.00 0.52 0.52 0.00 0.12 0.12 — 519 519 0.01 0.02 1.48 526
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Average
Daily
——————————————————
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Worker 0.01 0.01 0.01 0.13 0.00 0.00 0.03 0.03 0.00 0.01 0.01 — 31.5 31.5 < 0.005 < 0.005 0.04 31.9
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 0.02 0.00 0.00 0.01 0.01 0.00 < 0.005 < 0.005 — 5.21 5.21 < 0.005 < 0.005 0.01 5.28
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
4. Operations Emissions Details
4.1. Mobile Emissions by Land Use
4.1.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
3.30 2.99 2.15 25.8 0.06 0.04 6.14 6.18 0.04 1.56 1.60 — 6,574 6,574 0.30 0.25 18.2 6,675
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
City
Park
0.01 0.01 < 0.005 0.06 < 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 < 0.005 — 15.2 15.2 < 0.005 < 0.005 0.04 15.5
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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1,2523.420.050.061,2331,233—0.300.290.011.161.150.010.014.800.400.540.60Strip
Mall
General
Office
Building
0.16 0.15 0.11 1.32 < 0.005 < 0.005 0.32 0.32 < 0.005 0.08 0.08 — 339 339 0.02 0.01 0.94 344
Total 4.07 3.69 2.66 31.9 0.08 0.05 7.62 7.67 0.04 1.94 1.98 — 8,161 8,161 0.37 0.31 22.6 8,286
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
3.27 2.96 2.35 23.7 0.06 0.04 6.14 6.18 0.04 1.56 1.60 — 6,302 6,302 0.31 0.27 0.47 6,389
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
City
Park
0.01 0.01 0.01 0.05 < 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 < 0.005 — 14.6 14.6 < 0.005 < 0.005 < 0.005 14.8
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Strip
Mall
0.59 0.54 0.44 4.41 0.01 0.01 1.15 1.16 0.01 0.29 0.30 — 1,182 1,182 0.06 0.05 0.09 1,198
General
Office
Building
0.16 0.15 0.12 1.21 < 0.005 < 0.005 0.32 0.32 < 0.005 0.08 0.08 — 325 325 0.02 0.01 0.02 329
Total 4.03 3.65 2.91 29.4 0.08 0.05 7.62 7.67 0.04 1.94 1.98 — 7,823 7,823 0.39 0.33 0.59 7,931
Annual——————————————————
Apartme
nts
Mid Rise
0.56 0.51 0.41 4.22 0.01 0.01 1.05 1.06 0.01 0.27 0.27 — 1,003 1,003 0.05 0.04 1.24 1,018
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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City
Park
< 0.005 < 0.005 < 0.005 0.01 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — 1.28 1.28 < 0.005 < 0.005 < 0.005 1.30
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Strip
Mall
0.10 0.09 0.07 0.76 < 0.005 < 0.005 0.19 0.19 < 0.005 0.05 0.05 — 181 181 0.01 0.01 0.22 184
General
Office
Building
0.02 0.02 0.02 0.17 < 0.005 < 0.005 0.04 0.04 < 0.005 0.01 0.01 — 41.2 41.2 < 0.005 < 0.005 0.05 41.8
Total 0.68 0.62 0.50 5.16 0.01 0.01 1.28 1.29 0.01 0.33 0.33 — 1,227 1,227 0.06 0.05 1.51 1,245
4.2. Energy
4.2.1. Electricity Emissions By Land Use - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
————————————9679670.060.01—971
Enclose
d
Parking
with
Elevator
————————————8138130.050.01—817
City
Park
————————————0.000.000.000.00—0.00
User
Defined
Recreational
————————————0.000.000.000.00—0.00
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57.5—< 0.005<0.00557.357.3————————————Strip
Mall
General
Office
Building
————————————1301300.01<0.005—130
Total————————————1,9681,9680.120.01—1,975
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
————————————9679670.060.01—971
Enclose
d
Parking
with
Elevator
————————————8138130.050.01—817
City
Park
————————————0.000.000.000.00—0.00
User
Defined
Recreational
————————————0.000.000.000.00—0.00
Strip
Mall
————————————57.357.3<0.005<0.005—57.5
General
Office
Building
————————————1301300.01<0.005—130
Total————————————1,9681,9680.120.01—1,975
Annual——————————————————
Apartme
nts
Mid Rise
————————————1601600.01<0.005—161
Enclose
d
Parking
with
Elevator
————————————1351350.01<0.005—135
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City
Park
————————————0.000.000.000.00—0.00
User
Defined
Recreational
————————————0.000.000.000.00—0.00
Strip
Mall
————————————9.489.48<0.005<0.005—9.52
General
Office
Building
————————————21.521.5<0.005<0.005—21.6
Total————————————3263260.02<0.005—327
4.2.3. Natural Gas Emissions By Land Use - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
0.06 0.03 0.51 0.22 < 0.005 0.04 — 0.04 0.04 — 0.04 — 644 644 0.06 < 0.005 — 646
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
City
Park
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
Strip
Mall
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 7.67 7.67 < 0.005 < 0.005 — 7.70
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40.7—< 0.005<0.00540.640.6—<0.005—< 0.005<0.005—<0.005< 0.0050.030.03<0.005< 0.005General
Office
Building
Total 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 693 693 0.06 < 0.005 — 694
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
0.06 0.03 0.51 0.22 < 0.005 0.04 — 0.04 0.04 — 0.04 — 644 644 0.06 < 0.005 — 646
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
City
Park
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
Strip
Mall
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 7.67 7.67 < 0.005 < 0.005 — 7.70
General
Office
Building
< 0.005 < 0.005 0.03 0.03 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 40.6 40.6 < 0.005 < 0.005 — 40.7
Total 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 693 693 0.06 < 0.005 — 694
Annual——————————————————
Apartme
nts
Mid Rise
0.01 0.01 0.09 0.04 < 0.005 0.01 — 0.01 0.01 — 0.01 — 107 107 0.01 < 0.005 — 107
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
City
Park
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
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User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
Strip
Mall
< 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 1.27 1.27 < 0.005 < 0.005 — 1.27
General
Office
Building
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 6.72 6.72 < 0.005 < 0.005 — 6.74
Total 0.01 0.01 0.10 0.05 < 0.005 0.01 — 0.01 0.01 — 0.01 — 115 115 0.01 < 0.005 — 115
4.3. Area Emissions by Source
4.3.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Source TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Hearths 52.4 47.3 3.76 92.0 0.23 12.9 — 12.9 12.7 — 12.7 1,695 3,239 4,935 5.05 0.06 — 5,080
Consum
er
Product
s
4.034.03————————————————
Landsca
pe
Equipm
ent
2.22 2.08 0.16 17.5 < 0.005 0.02 — 0.02 0.01 — 0.01 — 57.0 57.0 < 0.005 < 0.005 — 57.2
Total 58.7 53.4 3.91 110 0.24 12.9 — 12.9 12.7 — 12.7 1,695 3,296 4,992 5.06 0.06 — 5,137
Daily,
Winter
(Max)
——————————————————
Hearths 52.4 47.3 3.76 92.0 0.23 12.9 — 12.9 12.7 — 12.7 1,695 3,239 4,935 5.05 0.06 — 5,080
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————————————————4.034.03Consum
er
Product
s
Total 56.5 51.3 3.76 92.0 0.23 12.9 — 12.9 12.7 — 12.7 1,695 3,239 4,935 5.05 0.06 — 5,080
Annual——————————————————
Hearths 0.66 0.59 0.05 1.15 < 0.005 0.16 — 0.16 0.16 — 0.16 19.2 36.7 56.0 0.06 < 0.005 — 57.6
Consum
er
Product
s
0.740.74————————————————
Landsca
pe
Equipm
ent
0.28 0.26 0.02 2.18 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 6.46 6.46 < 0.005 < 0.005 — 6.49
Total 1.67 1.59 0.07 3.33 < 0.005 0.16 — 0.16 0.16 — 0.16 19.2 43.2 62.4 0.06 < 0.005 — 64.1
4.4. Water Emissions by Land Use
4.4.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
———————————12.967.280.11.330.03—123
Enclose
d
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
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5.28—< 0.005<0.0055.265.260.00———————————City
Park
User
Defined
Recreational
———————————0.000.240.24<0.005<0.005—0.24
Strip
Mall
———————————0.573.033.590.06<0.005—5.47
General
Office
Building
———————————1.708.9310.60.18<0.005—16.3
Total———————————15.284.799.91.560.04—150
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
———————————12.967.280.11.330.03—123
Enclose
d
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
City
Park
———————————0.005.265.26<0.005<0.005—5.28
User
Defined
Recreational
———————————0.000.240.24<0.005<0.005—0.24
Strip
Mall
———————————0.573.033.590.06<0.005—5.47
General
Office
Building
———————————1.708.9310.60.18<0.005—16.3
Total———————————15.284.799.91.560.04—150
Annual——————————————————
Apartme
nts
Mid Rise
———————————2.1411.113.30.220.01—20.3
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Enclose
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
City
Park
———————————0.000.870.87<0.005<0.005—0.87
User
Defined
Recreational
———————————0.000.040.04<0.005<0.005—0.04
Strip
Mall
———————————0.090.500.600.01<0.005—0.91
General
Office
Building
———————————0.281.481.760.03<0.005—2.69
Total———————————2.5214.016.50.260.01—24.9
4.5. Waste Emissions by Land Use
4.5.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
———————————72.20.0072.27.210.00—252
Enclose
d
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
City
Park
———————————0.050.000.05<0.0050.00—0.16
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User
Defined
Recreational
———————————0.000.000.000.000.00—0.00
Strip
Mall
———————————2.260.002.260.230.00—7.92
General
Office
Building
———————————2.510.002.510.250.00—8.77
Total———————————77.00.0077.07.690.00—269
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
———————————72.20.0072.27.210.00—252
Enclose
d
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
City
Park
———————————0.050.000.05<0.0050.00—0.16
User
Defined
Recreational
———————————0.000.000.000.000.00—0.00
Strip
Mall
———————————2.260.002.260.230.00—7.92
General
Office
Building
———————————2.510.002.510.250.00—8.77
Total———————————77.00.0077.07.690.00—269
Annual——————————————————
Apartme
nts
Mid Rise
———————————11.90.0011.91.190.00—41.8
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0.00—0.000.000.000.000.00———————————Enclose
d
Parking
with
Elevator
City
Park
———————————0.010.000.01<0.0050.00—0.03
User
Defined
Recreational
———————————0.000.000.000.000.00—0.00
Strip
Mall
———————————0.370.000.370.040.00—1.31
General
Office
Building
———————————0.410.000.410.040.00—1.45
Total———————————12.70.0012.71.270.00—44.6
4.6. Refrigerant Emissions by Land Use
4.6.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
————————————————1.241.24
City
Park
————————————————0.000.00
Strip
Mall
————————————————0.020.02
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0.010.01————————————————General
Office
Building
Total————————————————1.281.28
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
————————————————1.241.24
City
Park
————————————————0.000.00
Strip
Mall
————————————————0.020.02
General
Office
Building
————————————————0.010.01
Total————————————————1.281.28
Annual——————————————————
Apartme
nts
Mid Rise
————————————————0.210.21
City
Park
————————————————0.000.00
Strip
Mall
————————————————<0.005<0.005
General
Office
Building
————————————————<0.005<0.005
Total————————————————0.210.21
4.7. Offroad Emissions By Equipment Type
4.7.1. Unmitigated
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Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
Annual——————————————————
Total——————————————————
4.8. Stationary Emissions By Equipment Type
4.8.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
Annual——————————————————
Total——————————————————
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4.9. User Defined Emissions By Equipment Type
4.9.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
Annual——————————————————
Total——————————————————
4.10. Soil Carbon Accumulation By Vegetation Type
4.10.1. Soil Carbon Accumulation By Vegetation Type - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Vegetati
on
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
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Annual——————————————————
Total——————————————————
4.10.2. Above and Belowground Carbon Accumulation by Land Use Type - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
Annual——————————————————
Total——————————————————
4.10.3. Avoided and Sequestered Emissions by Species - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Species TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Avoided——————————————————
Subtotal——————————————————
Sequest
ered
——————————————————
Subtotal——————————————————
Remove
d
——————————————————
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Subtotal——————————————————
———————————————————
Daily,
Winter
(Max)
——————————————————
Avoided——————————————————
Subtotal——————————————————
Sequest
ered
——————————————————
Subtotal——————————————————
Remove
d
——————————————————
Subtotal——————————————————
———————————————————
Annual——————————————————
Avoided——————————————————
Subtotal——————————————————
Sequest
ered
——————————————————
Subtotal——————————————————
Remove
d
——————————————————
Subtotal——————————————————
———————————————————
5. Activity Data
5.1. Construction Schedule
Phase Name Phase Type Start Date End Date Days Per Week Work Days per Phase Phase Description
Demolition Demolition 1/1/2026 3/6/2026 5.00 47.0 —
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Site Preparation Site Preparation 3/7/2026 3/17/2026 5.00 7.00 —
Grading Grading 3/18/2026 4/6/2026 5.00 14.0 —
Building Construction Building Construction 4/7/2026 3/24/2028 5.00 514 —
Paving Paving 3/27/2028 4/26/2028 5.00 23.0 —
Architectural Coating Architectural Coating 4/27/2028 5/29/2028 5.00 23.0 —
5.2. Off-Road Equipment
5.2.1. Unmitigated
Phase Name Equipment Type Fuel Type Engine Tier Number per Day Hours Per Day Horsepower Load Factor
Demolition Concrete/Industrial
Saws
Diesel Average 1.00 8.00 33.0 0.73
Demolition Rubber Tired Dozers Diesel Average 1.00 8.00 367 0.40
Demolition Tractors/Loaders/Back
hoes
Diesel Average 3.00 8.00 84.0 0.37
Site Preparation Graders Diesel Average 1.00 8.00 148 0.41
Site Preparation Scrapers Diesel Average 1.00 8.00 423 0.48
Site Preparation Tractors/Loaders/Back
hoes
Diesel Average 1.00 7.00 84.0 0.37
Grading Graders Diesel Average 1.00 8.00 148 0.41
Grading Rubber Tired Dozers Diesel Average 1.00 8.00 367 0.40
Grading Tractors/Loaders/Back
hoes
Diesel Average 2.00 7.00 84.0 0.37
Building Construction Cranes Diesel Average 1.00 8.00 367 0.29
Building Construction Forklifts Diesel Average 2.00 7.00 82.0 0.20
Building Construction Generator Sets Diesel Average 1.00 8.00 14.0 0.74
Building Construction Tractors/Loaders/Back
hoes
Diesel Average 1.00 6.00 84.0 0.37
Building Construction Welders Diesel Average 3.00 8.00 46.0 0.45
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0.5610.08.001.00AverageDieselPaving Cement and Mortar
Mixers
Paving Pavers Diesel Average 1.00 8.00 81.0 0.42
Paving Paving Equipment Diesel Average 1.00 8.00 89.0 0.36
Paving Rollers Diesel Average 2.00 8.00 36.0 0.38
Paving Tractors/Loaders/Back
hoes
Diesel Average 1.00 8.00 84.0 0.37
Architectural Coating Air Compressors Diesel Average 1.00 6.00 37.0 0.48
5.3. Construction Vehicles
5.3.1. Unmitigated
Phase Name Trip Type One-Way Trips per Day Miles per Trip Vehicle Mix
Demolition ————
Demolition Worker 12.5 18.5 LDA,LDT1,LDT2
Demolition Vendor — 10.2 HHDT,MHDT
Demolition Hauling 0.00 20.0 HHDT
Demolition Onsite truck — — HHDT
SitePreparation————
Site Preparation Worker 7.50 18.5 LDA,LDT1,LDT2
Site Preparation Vendor — 10.2 HHDT,MHDT
Site Preparation Hauling 0.00 20.0 HHDT
Site Preparation Onsite truck — — HHDT
Grading ————
Grading Worker 10.0 18.5 LDA,LDT1,LDT2
Grading Vendor — 10.2 HHDT,MHDT
Grading Hauling 401 20.0 HHDT
Grading Onsite truck — — HHDT
Building Construction ————
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Building Construction Worker 199 18.5 LDA,LDT1,LDT2
Building Construction Vendor 46.4 10.2 HHDT,MHDT
Building Construction Hauling 0.00 20.0 HHDT
Building Construction Onsite truck — — HHDT
Paving————
Paving Worker 15.0 18.5 LDA,LDT1,LDT2
Paving Vendor — 10.2 HHDT,MHDT
Paving Hauling 0.00 20.0 HHDT
Paving Onsite truck — — HHDT
Architectural Coating ————
Architectural Coating Worker 39.8 18.5 LDA,LDT1,LDT2
Architectural Coating Vendor — 10.2 HHDT,MHDT
Architectural Coating Hauling 0.00 20.0 HHDT
Architectural Coating Onsite truck — — HHDT
5.4. Vehicles
5.4.1. Construction Vehicle Control Strategies
Non-applicable. No control strategies activated by user.
5.5. Architectural Coatings
Phase Name Residential Interior Area
Coated (sq ft)
Residential Exterior Area
Coated (sq ft)
Non-Residential Interior Area
Coated (sq ft)
Non-Residential Exterior Area
Coated (sq ft)
Parking Area Coated (sq ft)
5.6. Dust Mitigation
5.6.1. Construction Earthmoving Activities
Phase Name Material Imported (cy)Material Exported (cy)Acres Graded (acres)Material Demolished (Ton of
Debris)
Acres Paved (acres)
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Demolition 0.00 0.00 0.00 0.00 —
Site Preparation — — 10.5 0.00 —
Grading — 44,870 6.00 0.00 —
Paving 0.00 0.00 0.00 0.00 0.00
5.6.2. Construction Earthmoving Control Strategies
Non-applicable. No control strategies activated by user.
5.7. Construction Paving
Land Use Area Paved (acres)% Asphalt
Apartments Mid Rise — 0%
Enclosed Parking with Elevator 0.00 100%
City Park 0.00 0%
User Defined Recreational 0.00 0%
Strip Mall 0.00 0%
General Office Building 0.00 0%
5.8. Construction Electricity Consumption and Emissions Factors
kWh per Year and Emission Factor (lb/MWh)
Year kWh per Year CO2 CH4 N2O
2026 0.00 532 0.03 < 0.005
2027 0.00 532 0.03 < 0.005
2028 0.00 532 0.03 < 0.005
5.9. Operational Mobile Sources
5.9.1. Unmitigated
Land Use Type Trips/Weekday Trips/Saturday Trips/Sunday Trips/Year VMT/Weekday VMT/Saturday VMT/Sunday VMT/Year
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Apartments Mid
Rise
985 889 740 341,650 8,659 7,815 6,510 3,004,398
Enclosed Parking
with Elevator
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
City Park 0.78 1.96 2.19 420 7.15 18.0 20.1 3,848
User Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Strip Mall 177 168 81.7 59,249 1,625 1,542 749 543,218
General Office
Building
48.7 11.1 3.50 13,455 447 101 32.1 123,365
5.10. Operational Area Sources
5.10.1. Hearths
5.10.1.1. Unmitigated
Hearth Type Unmitigated (number)
Apartments Mid Rise —
Wood Fireplaces 9
Gas Fireplaces 154
Propane Fireplaces 0
Electric Fireplaces 0
No Fireplaces 18
Conventional Wood Stoves 0
Catalytic Wood Stoves 9
Non-Catalytic Wood Stoves 9
Pellet Wood Stoves 0
5.10.2. Architectural Coatings
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Parking Area Coated (sq ft)Residential Interior Area Coated (sq
ft)
Residential Exterior Area Coated (sq
ft)
Non-Residential Interior Area Coated
(sq ft)
Non-Residential Exterior Area
Coated (sq ft)
—————
5.10.3. Landscape Equipment
Season Unit Value
Snow Days day/yr 0.00
Summer Days day/yr 250
5.11. Operational Energy Consumption
5.11.1. Unmitigated
Electricity (kWh/yr) and CO2 and CH4 and N2O and Natural Gas (kBTU/yr)
Land Use Electricity (kWh/yr)CO2 CH4 N2O Natural Gas (kBTU/yr)
Apartments Mid Rise 663,516 532 0.0330 0.0040 2,010,339
Enclosed Parking with
Elevator
558,144 532 0.0330 0.0040 0.00
City Park 0.00 532 0.0330 0.0040 0.00
User Defined Recreational 0.00 532 0.0330 0.0040 0.00
Strip Mall 39,285 532 0.0330 0.0040 23,948
General Office Building 89,101 532 0.0330 0.0040 126,732
5.12. Operational Water and Wastewater Consumption
5.12.1. Unmitigated
Land Use Indoor Water (gal/year)Outdoor Water (gal/year)
Apartments Mid Rise 6,746,558 34,282
Enclosed Parking with Elevator 0.00 0.00
City Park 0.00 680,192
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User Defined Recreational 0.00 31,166
Strip Mall 296,290 11,220
General Office Building 888,669 14,025
5.13. Operational Waste Generation
5.13.1. Unmitigated
Land Use Waste (ton/year)Cogeneration (kWh/year)
Apartments Mid Rise 134 —
Enclosed Parking with Elevator 0.00 —
City Park 0.09 —
User Defined Recreational 0.00 —
Strip Mall 4.20 —
General Office Building 4.65 —
5.14. Operational Refrigeration and Air Conditioning Equipment
5.14.1. Unmitigated
Land Use Type Equipment Type Refrigerant GWP Quantity (kg)Operations Leak Rate Service Leak Rate Times Serviced
Apartments Mid Rise Average room A/C &
Other residential A/C
and heat pumps
R-410A 2,088 < 0.005 2.50 2.50 10.0
Apartments Mid Rise Household
refrigerators and/or
freezers
R-134a 1,430 0.12 0.60 0.00 1.00
City Park Other commercial A/C
and heat pumps
R-410A 2,088 < 0.005 4.00 4.00 18.0
City Park Stand-alone retail
refrigerators and
freezers
R-134a 1,430 0.04 1.00 0.00 1.00
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18.04.004.00<0.0052,088R-410AStrip Mall Other commercial A/C
and heat pumps
Strip Mall Stand-alone retail
refrigerators and
freezers
R-134a 1,430 0.04 1.00 0.00 1.00
Strip Mall Walk-in refrigerators
and freezers
R-404A 3,922 < 0.005 7.50 7.50 20.0
General Office
Building
Household
refrigerators and/or
freezers
R-134a 1,430 0.02 0.60 0.00 1.00
General Office
Building
Other commercial A/C
and heat pumps
R-410A 2,088 < 0.005 4.00 4.00 18.0
5.15. Operational Off-Road Equipment
5.15.1. Unmitigated
Equipment Type Fuel Type Engine Tier Number per Day Hours Per Day Horsepower Load Factor
5.16. Stationary Sources
5.16.1. Emergency Generators and Fire Pumps
Equipment Type Fuel Type Number per Day Hours per Day Hours per Year Horsepower Load Factor
5.16.2. Process Boilers
Equipment Type Fuel Type Number Boiler Rating (MMBtu/hr)Daily Heat Input (MMBtu/day)Annual Heat Input (MMBtu/yr)
5.17. User Defined
Equipment Type Fuel Type
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5.18. Vegetation
5.18.1. Land Use Change
5.18.1.1. Unmitigated
Vegetation Land Use Type Vegetation Soil Type Initial Acres Final Acres
5.18.1. Biomass Cover Type
5.18.1.1. Unmitigated
Biomass Cover Type Initial Acres Final Acres
5.18.2. Sequestration
5.18.2.1. Unmitigated
Tree Type Number Electricity Saved (kWh/year)Natural Gas Saved (btu/year)
6. Climate Risk Detailed Report
6.1. Climate Risk Summary
Cal-Adapt midcentury 2040–2059 average projections for four hazards are reported below for your project location. These are under Representation Concentration Pathway (RCP) 8.5 which
assumes GHG emissions will continue to rise strongly through 2050 and then plateau around 2100.
Climate Hazard Result for Project Location Unit
Temperature and Extreme Heat 25.9 annual days of extreme heat
Extreme Precipitation 9.15 annual days with precipitation above 20 mm
Sea Level Rise — meters of inundation depth
Wildfire 16.9 annual hectares burned
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Temperature and Extreme Heat data are for grid cell in which your project are located. The projection is based on the 98th historical percentile of daily maximum/minimum temperatures from
observed historical data (32 climate model ensemble from Cal-Adapt, 2040–2059 average under RCP 8.5). Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.
Extreme Precipitation data are for the grid cell in which your project are located. The threshold of 20 mm is equivalent to about ¾ an inch of rain, which would be light to moderate rainfall if
received over a full day or heavy rain if received over a period of 2 to 4 hours. Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.
Sea Level Rise data are for the grid cell in which your project are located. The projections are from Radke et al. (2017), as reported in Cal-Adapt (Radke et al., 2017, CEC-500-2017-008), and
consider inundation location and depth for the San Francisco Bay, the Sacramento-San Joaquin River Delta and California coast resulting different increments of sea level rise coupled with
extreme storm events. Users may select from four scenarios to view the range in potential inundation depth for the grid cell. The four scenarios are: No rise, 0.5 meter, 1.0 meter, 1.41 meters
Wildfire data are for the grid cell in which your project are located. The projections are from UC Davis, as reported in Cal-Adapt (2040–2059 average under RCP 8.5), and consider historical data
of climate, vegetation, population density, and large (> 400 ha) fire history. Users may select from four model simulations to view the range in potential wildfire probabilities for the grid cell. The
four simulations make different assumptions about expected rainfall and temperature are: Warmer/drier (HadGEM2-ES), Cooler/wetter (CNRM-CM5),Average conditions (CanESM2), Range of
different rainfall and temperature possibilities (MIROC5). Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.
6.2. Initial Climate Risk Scores
Climate Hazard Exposure Score Sensitivity Score Adaptive Capacity Score Vulnerability Score
TemperatureandExtremeHeat300N/A
Extreme Precipitation N/A N/A N/A N/A
SeaLevelRise100N/A
Wildfire100N/A
Flooding N/A N/A N/A N/A
Drought N/A N/A N/A N/A
Snowpack Reduction N/A N/A N/A N/A
Air Quality Degradation 000N/A
The sensitivity score reflects the extent to which a project would be adversely affected by exposure to a climate hazard. Exposure is rated on a scale of 1 to 5, with a score of 5 representing the
greatest exposure.
The adaptive capacity of a project refers to its ability to manage and reduce vulnerabilities from projected climate hazards. Adaptive capacity is rated on a scale of 1 to 5, with a score of 5
representing the greatest ability to adapt.
The overall vulnerability scores are calculated based on the potential impacts and adaptive capacity assessments for each hazard. Scores do not include implementation of climate risk reduction
measures.
6.3. Adjusted Climate Risk Scores
Climate Hazard Exposure Score Sensitivity Score Adaptive Capacity Score Vulnerability Score
TemperatureandExtremeHeat3113
Extreme Precipitation N/A N/A N/A N/A
SeaLevelRise1112
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Wildfire1112
Flooding N/A N/A N/A N/A
Drought N/A N/A N/A N/A
Snowpack Reduction N/A N/A N/A N/A
Air Quality Degradation 1112
The sensitivity score reflects the extent to which a project would be adversely affected by exposure to a climate hazard. Exposure is rated on a scale of 1 to 5, with a score of 5 representing the
greatest exposure.
The adaptive capacity of a project refers to its ability to manage and reduce vulnerabilities from projected climate hazards. Adaptive capacity is rated on a scale of 1 to 5, with a score of 5
representing the greatest ability to adapt.
The overall vulnerability scores are calculated based on the potential impacts and adaptive capacity assessments for each hazard. Scores include implementation of climate risk reduction
measures.
6.4. Climate Risk Reduction Measures
7. Health and Equity Details
7.1. CalEnviroScreen 4.0 Scores
The maximum CalEnviroScreen score is 100. A high score (i.e., greater than 50) reflects a higher pollution burden compared to other census tracts in the state.
Indicator Result for Project Census Tract
Exposure Indicators —
AQ-Ozone 84.6
AQ-PM 70.7
AQ-DPM 57.7
Drinking Water 73.7
Lead Risk Housing 54.4
Pesticides 0.00
Toxic Releases 70.1
Traffic 80.3
Effect Indicators —
CleanUp Sites 74.9
Groundwater 0.00
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Haz Waste Facilities/Generators 59.8
Impaired Water Bodies 0.00
Solid Waste 70.4
Sensitive Population —
Asthma 6.04
Cardio-vascular 7.47
Low Birth Weights 7.29
Socioeconomic Factor Indicators —
Education 42.7
Housing 10.2
Linguistic 80.2
Poverty 27.9
Unemployment 45.8
7.2. Healthy Places Index Scores
The maximum Health Places Index score is 100. A high score (i.e., greater than 50) reflects healthier community conditions compared to other census tracts in the state.
Indicator Result for Project Census Tract
Economic —
Above Poverty 84.3320929
Employed 68.92082638
Median HI 57.88528166
Education —
Bachelor's or higher 80.67496471
High school enrollment 100
Preschool enrollment 84.88387014
Transportation —
Auto Access 70.20402926
Active commuting 5.915565251
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Social —
2-parent households 35.26241499
Voting 21.00603105
Neighborhood —
Alcohol availability 87.47593995
Park access 34.12036443
Retail density 39.49698447
Supermarket access 46.73424868
Tree canopy 66.75221352
Housing —
Homeownership 46.75991274
Housing habitability 43.07712049
Low-inc homeowner severe housing cost burden 33.1707943
Low-inc renter severe housing cost burden 70.48633389
Uncrowded housing 63.4800462
Health Outcomes —
Insured adults 52.11086873
Arthritis 0.0
Asthma ER Admissions 94.2
High Blood Pressure 0.0
Cancer (excluding skin)0.0
Asthma 0.0
Coronary Heart Disease 0.0
Chronic Obstructive Pulmonary Disease 0.0
Diagnosed Diabetes 0.0
Life Expectancy at Birth 97.0
Cognitively Disabled 87.2
Physically Disabled 80.2
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Heart Attack ER Admissions 84.0
Mental Health Not Good 0.0
Chronic Kidney Disease 0.0
Obesity 0.0
Pedestrian Injuries 97.1
Physical Health Not Good 0.0
Stroke 0.0
Health Risk Behaviors —
Binge Drinking 0.0
Current Smoker 0.0
No Leisure Time for Physical Activity 0.0
Climate Change Exposures —
Wildfire Risk 0.0
SLR Inundation Area 0.0
Children 84.9
Elderly 16.5
English Speaking 18.2
Foreign-born 95.7
Outdoor Workers 60.7
Climate Change Adaptive Capacity —
Impervious Surface Cover 34.1
Traffic Density 80.4
Traffic Access 23.0
Other Indices —
Hardship 23.2
Other Decision Support —
2016 Voting 20.4
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7.3. Overall Health & Equity Scores
Metric Result for Project Census Tract
CalEnviroScreen 4.0 Score for Project Location (a) 30.0
Healthy Places Index Score for Project Location (b) 65.0
Project Located in a Designated Disadvantaged Community (Senate Bill 535) No
Project Located in a Low-Income Community (Assembly Bill 1550) No
Project Located in a Community Air Protection Program Community (Assembly Bill 617) No
a: The maximum CalEnviroScreen score is 100. A high score (i.e., greater than 50) reflects a higher pollution burden compared to other census tracts in the state.
b: The maximum Health Places Index score is 100. A high score (i.e., greater than 50) reflects healthier community conditions compared to other census tracts in the state.
7.4. Health & Equity Measures
No Health & Equity Measures selected.
7.5. Evaluation Scorecard
Health & Equity Evaluation Scorecard not completed.
7.6. Health & Equity Custom Measures
No Health & Equity Custom Measures created.
8. User Changes to Default Data
Screen Justification
Land Use Consistent with IS/MND's model.
Construction: Construction Phases Consistent with information provided by the IS/MND.
Annual Emissions (tons/year) 0.06 Total DPM (lbs) 380
Daily Emissions (lbs/day) 0.328767123 Total DPM (g) 90729.86301
Construction Duration (days) 365 Emission Rate (g/s) 0.001438513
Total DPM (lbs) 120 Release Height (meters) 3
Total DPM (g) 54432 Total Acreage 2.27
Start Date 1/1/2026 Max Horizontal (meters) 135.55
End Date 1/1/2027 Min Horizontal (meters) 67.77
Construction Days 365 Initial Vertical Dimension (meters) 1.5
Setting Arcadia
Annual Emissions (tons/year) 0.04 Population 54,157
Daily Emissions (lbs/day) 0.219178082 Start Date 1/1/2026
Construction Duration (days) 365 End Date 1/1/2028
Total DPM (lbs) 80 Total Construction Days 730
Total DPM (g) 36288 Total Years of Construction 2.00
Start Date 1/1/2027 Total Years of Operation 28.00
End Date 1/1/2028
Construction Days 365
Annual Emissions (tons/year) 0.01
Daily Emissions (lbs/day) 0.054794521
Construction Duration (days) 180
Total DPM (lbs) 9.863013699
Total DPM (g) 4473.863014
Start Date 1/1/2028
End Date 6/29/2028
Construction Days 180
2028
2027
Construction
2026 Total
ƚƚĂĐŚŵĞŶƚ
Age Group Duration (years)Concentration (ug/m3)Cancer Risk
3rd Trimester 0.25 0.2670 3.63E-06
Infant (0 - 2) 1.75 0.2670 7.67E-05
Construction 2 8.04E-05
The Maximally Exposed Individual at an Existing Residential Receptor During Project Construction
AERSCREEN21112/AERMOD21112 12/16/24
14:10:10
TITLE:ArcadiaTownCenter,Construction
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
******************************AREAPARAMETERS****************************
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
SOURCEEMISSIONRATE: 0.144EŞ02g/s 0.114EŞ01lb/hr
AREAEMISSIONRATE: 0.157EŞ06g/(sŞm2) 0.124EŞ05lb/(hrŞm2)
AREAHEIGHT: 3.00meters 9.84feet
AREASOURCELONGSIDE: 135.55meters 444.72feet
AREASOURCESHORTSIDE: 67.77meters 222.34feet
INITIALVERTICALDIMENSION: 1.50meters 4.92feet
RURALORURBAN: URBAN
POPULATION: 54157
INITIALPROBEDISTANCE= 5000.meters 16404.feet
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
***********************BUILDINGDOWNWASHPARAMETERS**********************
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
BUILDINGDOWNWASHNOTUSEDFORNONŞPOINTSOURCES
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
**************************FLOWSECTORANALYSIS***************************
25meterreceptorspacing:1.metersŞ5000.meters
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
MAXIMUMIMPACTRECEPTOR
Zo SURFACE1ŞHRCONCRADIALDISTTEMPORAL
SECTORROUGHNESS(ug/m3)(deg)(m)PERIOD
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
1*1.0004.3412075.0WIN
*=worstcasediagonal
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
ƚƚĂĐŚŵĞŶƚ
**********************MAKEMETMETEOROLOGYPARAMETERS*********************
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
MIN/MAXTEMPERATURE:250.0/310.0(K)
MINIMUMWINDSPEED: 0.5m/s
ANEMOMETERHEIGHT:10.000meters
SURFACECHARACTERISTICSINPUT:AERMETSEASONALTABLES
DOMINANTSURFACEPROFILE:Urban
DOMINANTCLIMATETYPE:AverageMoisture
DOMINANTSEASON: Winter
ALBEDO: 0.35
BOWENRATIO: 1.50
ROUGHNESSLENGTH: 1.000(meters)
SURFACEFRICTIONVELOCITY(U*)NOTADUSTED
METEOROLOGYCONDITIONSUSEDTOPREDICTOVERALLMAXIMUMIMPACT
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
YRMODYJDYHR
ŞŞŞŞŞŞŞŞŞŞŞ
1001101001
H0U*W*DT/DZZICNVZIMCHMŞOLENZ0BOWENALBEDOREFWS
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
Ş1.300.043Ş9.0000.020Ş999.21.6.01.0001.500.350.50
HTREFTAHT
ŞŞŞŞŞŞŞŞŞŞŞ
10.0310.02.0
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
************************AERSCREENAUTOMATEDDISTANCES**********************
OVERALLMAXIMUMCONCENTRATIONSBYDISTANCE
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
MAXIMUM MAXIMUM
DIST1ŞHRCONC DIST1ŞHRCONC
(m) (ug/m3) (m) (ug/m3)
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
1.003.331 2525.000.3360EŞ01
25.003.828 2550.000.3315EŞ01
50.004.210 2575.000.3271EŞ01
75.004.341 2600.000.3228EŞ01
100.002.670 2625.000.3186EŞ01
125.001.980 2650.000.3145EŞ01
150.001.551 2675.000.3104EŞ01
175.001.260 2700.000.3065EŞ01
200.001.053 2725.000.3027EŞ01
225.000.8974 2750.000.2989EŞ01
250.000.7785 2775.000.2952EŞ01
275.000.6845 2800.000.2916EŞ01
300.000.6082 2825.000.2881EŞ01
325.000.5458 2850.000.2846EŞ01
350.000.4940 2875.000.2813EŞ01
375.000.4496 2900.000.2779EŞ01
400.000.4119 2925.000.2747EŞ01
425.000.3795 2950.000.2715EŞ01
450.000.3511 2975.000.2684EŞ01
475.000.3263 3000.000.2653EŞ01
500.000.3044 3025.000.2623EŞ01
525.000.2849 3050.000.2594EŞ01
550.000.2674 3075.000.2565EŞ01
575.000.2518 3100.000.2537EŞ01
600.000.2376 3125.000.2509EŞ01
625.000.2247 3150.000.2482EŞ01
650.000.2130 3175.000.2455EŞ01
675.000.2023 3200.000.2429EŞ01
700.000.1926 3225.000.2403EŞ01
725.000.1836 3250.000.2378EŞ01
750.000.1753 3275.000.2353EŞ01
775.000.1677 3300.000.2329EŞ01
800.000.1606 3325.000.2305EŞ01
825.000.1540 3350.000.2282EŞ01
850.000.1479 3375.000.2258EŞ01
875.000.1422 3400.000.2236EŞ01
900.000.1368 3425.000.2213EŞ01
925.000.1318 3450.000.2192EŞ01
950.000.1270 3475.000.2170EŞ01
975.000.1226 3500.000.2149EŞ01
1000.000.1185 3525.000.2128EŞ01
1025.000.1145 3550.000.2107EŞ01
1050.000.1108 3575.000.2087EŞ01
1075.000.1073 3600.000.2068EŞ01
1100.000.1040 3625.000.2048EŞ01
1125.000.1009 3650.000.2029EŞ01
1150.000.9792EŞ01 3675.000.2010EŞ01
1175.000.9510EŞ01 3700.000.1991EŞ01
1200.000.9242EŞ01 3725.000.1973EŞ01
1225.000.8986EŞ01 3750.000.1955EŞ01
1250.000.8742EŞ01 3775.000.1938EŞ01
1275.000.8570EŞ013800.000.1920EŞ01
1300.000.8344EŞ013825.000.1903EŞ01
1325.000.8129EŞ013850.000.1886EŞ01
1350.000.7923EŞ013875.000.1869EŞ01
1375.000.7726EŞ013900.000.1853EŞ01
1400.000.7538EŞ013925.000.1837EŞ01
1425.000.7357EŞ013950.000.1821EŞ01
1450.000.7184EŞ013975.000.1805EŞ01
1475.000.7017EŞ014000.000.1790EŞ01
1500.000.6857EŞ014025.000.1775EŞ01
1525.000.6704EŞ014050.000.1760EŞ01
1550.000.6556EŞ014075.000.1745EŞ01
1575.000.6414EŞ014100.000.1731EŞ01
1600.000.6277EŞ014125.000.1716EŞ01
1625.000.6145EŞ014150.000.1702EŞ01
1650.000.6017EŞ014175.000.1688EŞ01
1675.000.5895EŞ014200.000.1674EŞ01
1700.000.5776EŞ014225.000.1661EŞ01
1725.000.5662EŞ014250.000.1648EŞ01
1750.000.5551EŞ014275.000.1634EŞ01
1775.000.5444EŞ014300.000.1621EŞ01
1800.000.5341EŞ014325.000.1609EŞ01
1824.990.5241EŞ014350.000.1596EŞ01
1850.000.5144EŞ014375.000.1584EŞ01
1875.000.5050EŞ014400.000.1571EŞ01
1900.000.4960EŞ014425.000.1559EŞ01
1924.990.4871EŞ014450.000.1547EŞ01
1950.000.4786EŞ014475.000.1535EŞ01
1975.000.4703EŞ014500.000.1524EŞ01
2000.000.4623EŞ014525.000.1512EŞ01
2025.000.4545EŞ014550.000.1501EŞ01
2050.000.4469EŞ014575.000.1490EŞ01
2075.000.4396EŞ014600.000.1479EŞ01
2100.000.4324EŞ014625.000.1468EŞ01
2125.000.4255EŞ014650.000.1457EŞ01
2150.000.4187EŞ014675.000.1446EŞ01
2175.000.4121EŞ014700.000.1436EŞ01
2200.000.4057EŞ014725.000.1425EŞ01
2225.000.3995EŞ014750.000.1415EŞ01
2250.000.3934EŞ014775.000.1405EŞ01
2275.000.3875EŞ014800.000.1395EŞ01
2300.000.3818EŞ014825.000.1385EŞ01
2325.000.3761EŞ014850.000.1375EŞ01
2350.000.3707EŞ014875.000.1366EŞ01
2375.000.3653EŞ014900.000.1356EŞ01
2400.000.3601EŞ014925.000.1347EŞ01
2425.000.3551EŞ014950.000.1337EŞ01
2450.000.3501EŞ014975.000.1328EŞ01
2475.000.3453EŞ015000.000.1319EŞ01
2500.000.3406EŞ01
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
**********************AERSCREENMAXIMUMIMPACTSUMMARY*********************
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
3Şhour,8Şhour,and24Şhourscaled
concentrationsareequaltothe1Şhourconcentrationasreferencedin
SCREENINGPROCEDURESFORESTIMATINGTHEAIRQUALITY
IMPACTOFSTATIONARYSOURCES,REVISED(Section4.5.4)
ReportnumberEPAŞ454/RŞ92Ş019
http://www.epa.gov/scram001/guidance_permit.htm
underScreeningGuidance
MAXIMUMSCALEDSCALEDSCALEDSCALED
1ŞHOUR3ŞHOUR8ŞHOUR24ŞHOURANNUAL
CALCULATION CONC CONC CONC CONC CONC
PROCEDURE (ug/m3)(ug/m3)(ug/m3)(ug/m3)(ug/m3)
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
FLATTERRAIN 4.436 4.436 4.436 4.436 N/A
DISTANCEFROMSOURCE 72.00meters
IMPACTATTHE
AMBIENTBOUNDARY3.331 3.331 3.331 3.331 N/A
DISTANCEFROMSOURCE 1.00meters
2656 29th Street, Suite 201
Santa Monica, CA 90405
Matt Hagemann, P.G, C.Hg.
(949) 887-9013
mhagemann@swape.com
Matthew F. Hagemann, P.G., C.Hg., QSD, QSP
Geologic and Hydrogeologic Characterization
Investigation and Remediation Strategies
Litigation Support and Testifying Expert
Industrial Stormwater Compliance
CEQA Review
Education:
M.S. Degree, Geology, California State University Los Angeles, Los Angeles, CA, 1984.
B.A.Degree, Geology, Humboldt State University, Arcata, CA, 1982.
Professional Certifications:
California Professional Geologist
California Certified Hydrogeologist
Qualified SWPPP Developer and Practitioner
Professional Experience:
Matt has 30 years of experience in environmental policy, contaminant assessment and remediation,
stormwater compliance, and CEQA review. He spent nine years with the U.S. EPA in the RCRA and
Superfund programs and served as EPA’s Senior Science Policy Advisor in the Western Regional
Office where he identified emerging threats to groundwater from perchlorate and MTBE. While with
EPA, Matt also served as a Senior Hydrogeologist in the oversight of the assessment of seven major
military facilities undergoing base closure. He led numerous enforcement actions under provisions of
the Resource Conservation and Recovery Act (RCRA) and directed efforts to improve hydrogeologic
characterization and water quality monitoring. For the past 15 years, as a founding partner with SWAPE,
Matt has developed extensive client relationships and has managed complex projects that include
consultation as an expert witness and a regulatory specialist, and a manager of projects ranging from
industrial stormwater compliance to CEQA review of impacts from hazardous waste, air quality and
greenhouse gas emissions.
Positions Matt has held include:
x Founding Partner, Soil/Water/Air Protection Enterprise (SWAPE) (2003 – present);
x Geology Instructor, Golden West College, 2010 – 2104, 2017;
x Senior Environmental Analyst, Komex H2O Science, Inc. (2000 -- 2003);
ƚƚĂĐŚŵĞŶƚ
2
x Executive Director, Orange Coast Watch (2001 – 2004);
x Senior Science Policy Advisor and Hydrogeologist, U.S. Environmental Protection Agency (1989–
1998);
x Hydrogeologist, National Park Service, Water Resources Division (1998 – 2000);
x Adjunct Faculty Member, San Francisco State University, Department of Geosciences (1993 –
1998);
x Instructor, College of Marin, Department of Science (1990 – 1995);
x Geologist, U.S. Forest Service (1986 – 1998); and
x Geologist, Dames & Moore (1984 – 1986).
Senior Regulatory and Litigation Support Analyst:
With SWAPE, Matt’s responsibilities have included:
x Lead analyst and testifying expert in the review of over 300 environmental impact reports
and negative declarations since 2003 under CEQA that identify significant issues with regard
to hazardous waste, water resources, water quality, air quality, greenhouse gas emissions,
and geologic hazards. Make recommendations for additional mitigation measures to lead
agencies at the local and county level to include additional characterization of health risks
and implementation of protective measures to reduce worker exposure to hazards from
toxins and Valley Fever.
x Stormwater analysis, sampling and best management practice evaluation at more than 100 industrial
facilities.
x Expert witness on numerous cases including, for example, perfluorooctanoic acid (PFOA)
contamination of groundwater, MTBE litigation, air toxins at hazards at a school, CERCLA
compliance in assessment and remediation, and industrial stormwater contamination.
x Technical assistance and litigation support for vapor intrusion concerns.
x Lead analyst and testifying expert in the review of environmental issues in license applications
for large solar power plants before the California Energy Commission.
x Manager of a project to evaluate numerous formerly used military sites in the western U.S.
x Manager of a comprehensive evaluation of potential sources of perchlorate contamination in
Southern California drinking water wells.
x Manager and designated expert for litigation support under provisions of Proposition 65 in the
review of releases of gasoline to sources drinking water at major refineries and hundreds of gas
stations throughout California.
With Komex H2O Science Inc., Matt’s duties included the following:
x Senior author of a report on the extent of perchlorate contamination that was used in testimony
by the former U.S. EPA Administrator and General Counsel.
x Senior researcher in the development of a comprehensive, electronically interactive chronology
of MTBE use, research, and regulation.
x Senior researcher in the development of a comprehensive, electronically interactive chronology
of perchlorate use, research, and regulation.
x Senior researcher in a study that estimates nationwide costs for MTBE remediation and drinking
water treatment, results of which were published in newspapers nationwide and in testimony
against provisions of an energy bill that would limit liability for oil companies.
x Research to support litigation to restore drinking water supplies that have been contaminated by
MTBE in California and New York.
3
x Expert witness testimony in a case of oil production-related contamination in Mississippi.
x Lead author for a multi-volume remedial investigation report for an operating school in Los
Angeles that met strict regulatory requirements and rigorous deadlines.
x Development of strategic approaches for cleanup of contaminated sites in consultation with
clients and regulators.
Executive Director:
As Executive Director with Orange Coast Watch, Matt led efforts to restore water quality at Orange
County beaches from multiple sources of contamination including urban runoff and the discharge of
wastewater. In reporting to a Board of Directors that included representatives from leading Orange
County universities and businesses, Matt prepared issue papers in the areas of treatment and disinfection
of wastewater and control of the discharge of grease to sewer systems. Matt actively participated in the
development of countywide water quality permits for the control of urban runoff and permits for the
discharge of wastewater. Matt worked with other nonprofits to protect and restore water quality, including
Surfrider, Natural Resources Defense Council and Orange County CoastKeeper as well as with business
institutions including the Orange County Business Council.
Hydrogeology:
As a Senior Hydrogeologist with the U.S. Environmental Protection Agency, Matt led investigations to
characterize and cleanup closing military bases, including Mare Island Naval Shipyard, Hunters Point
Naval Shipyard, Treasure Island Naval Station, Alameda Naval Station, Moffett Field, Mather Army
Airfield, and Sacramento Army Depot. Specific activities were as follows:
x Led efforts to model groundwater flow and contaminant transport, ensured adequacy of
monitoring networks, and assessed cleanup alternatives for contaminated sediment, soil, and
groundwater.
x Initiated a regional program for evaluation of groundwater sampling practices and laboratory
analysis at military bases.
x Identified emerging issues, wrote technical guidance, and assisted in policy and regulation
development through work on four national U.S. EPA workgroups, including the Superfund
Groundwater Technical Forum and the Federal Facilities Forum.
At the request of the State of Hawaii, Matt developed a methodology to determine the vulnerability of
groundwater to contamination on the islands of Maui and Oahu. He used analytical models and a GIS to
show zones of vulnerability, and the results were adopted and published by the State of Hawaii and
County of Maui.
As a hydrogeologist with the EPA Groundwater Protection Section, Matt worked with provisions of the
Safe Drinking Water Act and NEPA to prevent drinking water contamination. Specific activities included
the following:
x Received an EPA Bronze Medal for his contribution to the development of national guidance for
the protection of drinking water.
x Managed the Sole Source Aquifer Program and protected the drinking water of two communities
through designation under the Safe Drinking Water Act. He prepared geologic reports, conducted
4
public hearings, and responded to public comments from residents who were very concerned
about the impact of designation.
x Reviewed a number of Environmental Impact Statements for planned major developments,
including large hazardous and solid waste disposal facilities, mine reclamation, and water
transfer.
Matt served as a hydrogeologist with the RCRA Hazardous Waste program. Duties were as follows:
x Supervised the hydrogeologic investigation of hazardous waste sites to determine compliance
with Subtitle C requirements.
x Reviewed and wrote "part B" permits for the disposal of hazardous waste.
x Conducted RCRA Corrective Action investigations of waste sites and led inspections that formed
the basis for significant enforcement actions that were developed in close coordination with U.S.
EPA legal counsel.
x Wrote contract specifications and supervised contractor’s investigations of waste sites.
With the National Park Service, Matt directed service-wide investigations of contaminant sources to
prevent degradation of water quality, including the following tasks:
x Applied pertinent laws and regulations including CERCLA, RCRA, NEPA, NRDA, and the
Clean Water Act to control military, mining, and landfill contaminants.
x Conducted watershed-scale investigations of contaminants at parks, including Yellowstone and
Olympic National Park.
x Identified high-levels of perchlorate in soil adjacent to a national park in New Mexico
and advised park superintendent on appropriate response actions under CERCLA.
x Served as a Park Service representative on the Interagency Perchlorate Steering Committee, a
national workgroup.
x Developed a program to conduct environmental compliance audits of all National Parks while
serving on a national workgroup.
x Co-authored two papers on the potential for water contamination from the operation of personal
watercraft and snowmobiles, these papers serving as the basis for the development of nation-
wide policy on the use of these vehicles in National Parks.
x Contributed to the Federal Multi-Agency Source Water Agreement under the Clean Water
Action Plan.
Policy:
Served senior management as the Senior Science Policy Advisor with the U.S. Environmental Protection
Agency, Region 9.
Activities included the following:
x Advised the Regional Administrator and senior management on emerging issues such as the
potential for the gasoline additive MTBE and ammonium perchlorate to contaminate drinking
water supplies.
x Shaped EPA’s national response to these threats by serving on workgroups and by contributing
to guidance, including the Office of Research and Development publication, Oxygenates in
Water: Critical Information and Research Needs.
x Improved the technical training of EPA's scientific and engineering staff.
x Earned an EPA Bronze Medal for representing the region’s 300 scientists and engineers in
negotiations with the Administrator and senior management to better integrate scientific
5
principles into the policy-making process.
x Established national protocol for the peer review of scientific documents.
Geology:
With the U.S. Forest Service, Matt led investigations to determine hillslope stability of areas proposed for
timber harvest in the central Oregon Coast Range. Specific activities were as follows:
x Mapped geology in the field, and used aerial photographic interpretation and mathematical
models to determine slope stability.
x Coordinated his research with community members who were concerned with natural resource
protection.
x Characterized the geology of an aquifer that serves as the sole source of drinking water for the
city of Medford, Oregon.
As a consultant with Dames and Moore, Matt led geologic investigations of two contaminated sites (later
listed on the Superfund NPL) in the Portland, Oregon, area and a large hazardous waste site in eastern
Oregon. Duties included the following:
x Supervised year-long effort for soil and groundwater sampling.
x Conducted aquifer tests.
x Investigated active faults beneath sites proposed for hazardous waste disposal.
Teaching:
From 1990 to 1998, Matt taught at least one course per semester at the community college and university
levels:
x At San Francisco State University, held an adjunct faculty position and taught courses in
environmental geology, oceanography (lab and lecture), hydrogeology, and groundwater
contamination.
x Served as a committee member for graduate and undergraduate students.
x Taught courses in environmental geology and oceanography at the College of Marin.
Matt is currently a part time geology instructor at Golden West College in Huntington Beach, California
where he taught from 2010 to 2014 and in 2017.
Invited Testimony, Reports, Papers and Presentations:
Hagemann, M.F., 2008. Disclosure of Hazardous Waste Issues under CEQA. Presentation to the Public
Environmental Law Conference, Eugene, Oregon.
Hagemann, M.F., 2008. Disclosure of Hazardous Waste Issues under CEQA. Invited presentation to U.S.
EPA Region 9, San Francisco, California.
Hagemann, M.F., 2005. Use of Electronic Databases in Environmental Regulation, Policy Making and
Public Participation. Brownfields 2005, Denver, Coloradao.
Hagemann, M.F., 2004. Perchlorate Contamination of the Colorado River and Impacts to Drinking Water
in Nevada and the Southwestern U.S. Presentation to a meeting of the American Groundwater Trust, Las
Vegas, NV (served on conference organizing committee).
6
Hagemann, M.F., 2004. Invited testimony to a California Senate committee hearing on air toxins at
schools in Southern California, Los Angeles.
Brown, A., Farrow, J., Gray, A. and Hagemann, M., 2004. An Estimate of Costs to Address MTBE
Releases from Underground Storage Tanks and the Resulting Impact to Drinking Water Wells.
Presentation to the Ground Water and Environmental Law Conference, National Groundwater
Association.
Hagemann, M.F., 2004. Perchlorate Contamination of the Colorado River and Impacts to Drinking Water
in Arizona and the Southwestern U.S. Presentation to a meeting of the American Groundwater Trust,
Phoenix, AZ (served on conference organizing committee).
Hagemann, M.F., 2003. Perchlorate Contamination of the Colorado River and Impacts to Drinking Water
in the Southwestern U.S. Invited presentation to a special committee meeting of the National Academy
of Sciences, Irvine, CA.
Hagemann, M.F., 2003. Perchlorate Contamination of the Colorado River. Invited presentation to a
tribal EPA meeting, Pechanga, CA.
Hagemann, M.F., 2003. Perchlorate Contamination of the Colorado River. Invited presentation to a
meeting of tribal repesentatives, Parker, AZ.
Hagemann, M.F., 2003. Impact of Perchlorate on the Colorado River and Associated Drinking Water
Supplies. Invited presentation to the Inter-Tribal Meeting, Torres Martinez Tribe.
Hagemann, M.F., 2003. The Emergence of Perchlorate as a Widespread Drinking Water Contaminant.
Invited presentation to the U.S. EPA Region 9.
Hagemann, M.F., 2003. A Deductive Approach to the Assessment of Perchlorate Contamination. Invited
presentation to the California Assembly Natural Resources Committee.
Hagemann, M.F., 2003. Perchlorate: A Cold War Legacy in Drinking Water. Presentation to a meeting of
the National Groundwater Association.
Hagemann, M.F., 2002. From Tank to Tap: A Chronology of MTBE in Groundwater. Presentation to a
meeting of the National Groundwater Association.
Hagemann, M.F., 2002. A Chronology of MTBE in Groundwater and an Estimate of Costs to Address
Impacts to Groundwater. Presentation to the annual meeting of the Society of Environmental
Journalists.
Hagemann, M.F., 2002. An Estimate of the Cost to Address MTBE Contamination in Groundwater
(and Who Will Pay). Presentation to a meeting of the National Groundwater Association.
Hagemann, M.F., 2002. An Estimate of Costs to Address MTBE Releases from Underground Storage
Tanks and the Resulting Impact to Drinking Water Wells. Presentation to a meeting of the U.S. EPA and
State Underground Storage Tank Program managers.
7
Hagemann, M.F., 2001. From Tank to Tap: A Chronology of MTBE in Groundwater. Unpublished
report.
Hagemann, M.F., 2001. Estimated Cleanup Cost for MTBE in Groundwater Used as Drinking Water.
Unpublished report.
Hagemann, M.F., 2001. Estimated Costs to Address MTBE Releases from Leaking Underground Storage
Tanks. Unpublished report.
Hagemann, M.F., and VanMouwerik, M., 1999. Potential W a t e r Quality Concerns Related
to Snowmobile Usage. Water Resources Division, National Park Service, Technical Report.
VanMouwerik, M. and Hagemann, M.F. 1999, Water Quality Concerns Related to Personal Watercraft
Usage. Water Resources Division, National Park Service, Technical Report.
Hagemann, M.F., 1999, Is Dilution the Solution to Pollution in National Parks? The George Wright
Society Biannual Meeting, Asheville, North Carolina.
Hagemann, M.F., 1997, The Potential for MTBE to Contaminate Groundwater. U.S. EPA Superfund
Groundwater Technical Forum Annual Meeting, Las Vegas, Nevada.
Hagemann, M.F., and Gill, M., 1996, Impediments to Intrinsic Remediation, Moffett Field Naval Air
Station, Conference on Intrinsic Remediation of Chlorinated Hydrocarbons, Salt Lake City.
Hagemann, M.F., Fukunaga, G.L., 1996, The Vulnerability of Groundwater to Anthropogenic
Contaminants on the Island of Maui, Hawaii. Hawaii Water Works Association Annual Meeting, Maui,
October 1996.
Hagemann, M. F., Fukanaga, G. L., 1996, Ranking Groundwater Vulnerability in Central Oahu,
Hawaii. Proceedings, Geographic Information Systems in Environmental Resources Management, Air
and Waste Management Association Publication VIP-61.
Hagemann, M.F., 1994. Groundwater Ch ar ac te r i z a t i o n and Cl ean up a t Closing Military Bases
in California. Proceedings, California Groundwater Resources Association Meeting.
Hagemann, M.F. and Sabol, M.A., 1993. Role of the U.S. EPA in the High Plains States Groundwater
Recharge Demonstration Program. Proceedings, Sixth Biennial Symposium on the Artificial Recharge of
Groundwater.
Hagemann, M.F., 1993. U.S. EPA Policy on the Technical Impracticability of the Cleanup of DNAPL-
contaminated Groundwater. California Groundwater Resources Association Meeting.
8
Hagemann, M.F., 1992. Dense Nonaqueous Phase Liquid Contamination of Groundwater: An Ounce of
Prevention... Proceedings, Association of Engineering Geologists Annual Meeting, v. 35.
Other Experience:
Selected as subject matter expert for the California Professional Geologist licensing examinations,
2009-2011.
SOIL WATER AIR PROTECTION ENTERPRISE
2656 29th Street, Suite 201
Santa Monica, California 90405
Attn: Paul Rosenfeld, Ph.D.
Mobil: (310) 795-2335
Office: (310) 452-5555
Fax: (310) 452-5550
Email: prosenfeld@swape.com
Paul E. Rosenfeld, Ph.D. Page 1 of 12 October 2022
Paul Rosenfeld, Ph.D.Chemical Fate and Transport & Air Dispersion Modeling
Principal Environmental Chemist Risk Assessment & Remediation Specialist
Education
Ph.D. Soil Chemistry, University of Washington, 1999. Dissertation on volatile organic compound filtration.
M.S. Environmental Science, U.C. Berkeley, 1995. Thesis on organic waste economics.
B.A. Environmental Studies, U.C. Santa Barbara, 1991. Focus on wastewater treatment.
Professional Experience
Dr. Rosenfeld has over 25 years of experience conducting environmental investigations and risk assessments for
evaluating impacts to human health, property, and ecological receptors. His expertise focuses on the fate and
transport of environmental contaminants, human health risk, exposure assessment, and ecological restoration. Dr.
Rosenfeld has evaluated and modeled emissions from oil spills, landfills, boilers and incinerators, process stacks,
storage tanks, confined animal feeding operations, industrial, military and agricultural sources, unconventional oil
drilling operations, and locomotive and construction engines. His project experience ranges from monitoring and
modeling of pollution sources to evaluating impacts of pollution on workers at industrial facilities and residents in
surrounding communities. Dr. Rosenfeld has also successfully modeled exposure to contaminants distributed by
water systems and via vapor intrusion.
Dr. Rosenfeld has investigated and designed remediation programs and risk assessments for contaminated sites
containing lead, heavy metals, mold, bacteria, particulate matter, petroleum hydrocarbons, chlorinated solvents,
pesticides, radioactive waste, dioxins and furans, semi- and volatile organic compounds, PCBs, PAHs, creosote,
perchlorate, asbestos, per- and poly-fluoroalkyl substances (PFOA/PFOS), unusual polymers, fuel oxygenates
(MTBE), among other pollutants. Dr. Rosenfeld also has experience evaluating greenhouse gas emissions from
various projects and is an expert on the assessment of odors from industrial and agricultural sites, as well as the
evaluation of odor nuisance impacts and technologies for abatement of odorous emissions. As a principal scientist
at SWAPE, Dr. Rosenfeld directs air dispersion modeling and exposure assessments. He has served as an expert
witness and testified about pollution sources causing nuisance and/or personal injury at sites and has testified as an
expert witness on numerous cases involving exposure to soil, water and air contaminants from industrial, railroad,
agricultural, and military sources.
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Paul E. Rosenfeld, Ph.D. Page 2 of 12 October 2022
Professional History:
Soil Water Air Protection Enterprise (SWAPE); 2003 to present; Principal and Founding Partner
UCLA School of Public Health; 2007 to 2011; Lecturer (Assistant Researcher)
UCLA School of Public Health; 2003 to 2006; Adjunct Professor
UCLA Environmental Science and Engineering Program; 2002-2004; Doctoral Intern Coordinator
UCLA Institute of the Environment, 2001-2002; Research Associate
Komex H2O Science, 2001 to 2003; Senior Remediation Scientist
National Groundwater Association, 2002-2004; Lecturer
San Diego State University, 1999-2001; Adjunct Professor
Anteon Corp., San Diego, 2000-2001; Remediation Project Manager
Ogden (now Amec), San Diego, 2000-2000; Remediation Project Manager
Bechtel, San Diego, California, 1999 – 2000; Risk Assessor
King County, Seattle, 1996 – 1999; Scientist
James River Corp., Washington, 1995-96; Scientist
Big Creek Lumber, Davenport, California, 1995; Scientist
Plumas Corp., California and USFS, Tahoe 1993-1995; Scientist
Peace Corps and World Wildlife Fund, St. Kitts, West Indies, 1991-1993; Scientist
Publications:
Rosenfeld P. E., Spaeth K., Hallman R., Bressler R., Smith, G., (2022) Cancer Risk and Diesel Exhaust Exposure
Among Railroad Workers. Water Air Soil Pollution. 233, 171.
Remy, L.L., Clay T., Byers, V., Rosenfeld P. E. (2019) Hospital, Health, and Community Burden After Oil
Refinery Fires, Richmond, California 2007 and 2012. Environmental Health. 18:48
Simons, R.A., Seo, Y. Rosenfeld, P., (2015) Modeling the Effect of Refinery Emission On Residential Property
Value. Journal of Real Estate Research. 27(3):321-342
Chen, J. A, Zapata A. R., Sutherland A. J., Molmen, D.R., Chow, B. S., Wu, L. E., Rosenfeld, P. E., Hesse, R. C.,
(2012) Sulfur Dioxide and Volatile Organic Compound Exposure To A Community In Texas City Texas Evaluated
Using Aermod and Empirical Data. American Journal of Environmental Science, 8(6), 622-632.
Rosenfeld, P.E. & Feng, L. (2011). The Risks of Hazardous Waste. Amsterdam: Elsevier Publishing.
Cheremisinoff, N.P., & Rosenfeld, P.E. (2011). Handbook of Pollution Prevention and Cleaner Production: Best
Practices in the Agrochemical Industry, Amsterdam: Elsevier Publishing.
Gonzalez, J., Feng, L., Sutherland, A., Waller, C., Sok, H., Hesse, R., Rosenfeld, P. (2010). PCBs and
Dioxins/Furans in Attic Dust Collected Near Former PCB Production and Secondary Copper Facilities in Sauget, IL.
Procedia Environmental Sciences. 113–125.
Feng, L., Wu, C., Tam, L., Sutherland, A.J., Clark, J.J., Rosenfeld, P.E. (2010). Dioxin and Furan Blood Lipid and
Attic Dust Concentrations in Populations Living Near Four Wood Treatment Facilities in the United States. Journal
of Environmental Health. 73(6), 34-46.
Cheremisinoff, N.P., & Rosenfeld, P.E. (2010). Handbook of Pollution Prevention and Cleaner Production: Best
Practices in the Wood and Paper Industries. Amsterdam: Elsevier Publishing.
Cheremisinoff, N.P., & Rosenfeld, P.E. (2009). Handbook of Pollution Prevention and Cleaner Production: Best
Practices in the Petroleum Industry. Amsterdam: Elsevier Publishing.
Paul E. Rosenfeld, Ph.D. Page 3 of 12 October 2022
Wu, C., Tam, L., Clark, J., Rosenfeld, P. (2009). Dioxin and furan blood lipid concentrations in populations living
near four wood treatment facilities in the United States. WIT Transactions on Ecology and the Environment, Air
Pollution, 123 (17), 319-327.
Tam L. K.., Wu C. D., Clark J. J. and Rosenfeld, P.E. (2008). A Statistical Analysis Of Attic Dust And Blood Lipid
Concentrations Of Tetrachloro-p-Dibenzodioxin (TCDD) Toxicity Equivalency Quotients (TEQ) In Two
Populations Near Wood Treatment Facilities. Organohalogen Compounds, 70, 002252-002255.
Tam L. K.., Wu C. D., Clark J. J. and Rosenfeld, P.E. (2008). Methods For Collect Samples For Assessing Dioxins
And Other Environmental Contaminants In Attic Dust: A Review. Organohalogen Compounds, 70, 000527-
000530.
Hensley, A.R. A. Scott, J. J. J. Clark, Rosenfeld, P.E. (2007). Attic Dust and Human Blood Samples Collected near
a Former Wood Treatment Facility. Environmental Research. 105, 194-197.
Rosenfeld, P.E., J. J. J. Clark, A. R. Hensley, M. Suffet. (2007). The Use of an Odor Wheel Classification for
Evaluation of Human Health Risk Criteria for Compost Facilities. Water Science & Technology 55(5), 345-357.
Rosenfeld, P. E., M. Suffet. (2007). The Anatomy Of Odour Wheels For Odours Of Drinking Water, Wastewater,
Compost And The Urban Environment. Water Science & Technology 55(5), 335-344.
Sullivan, P. J. Clark, J.J.J., Agardy, F. J., Rosenfeld, P.E. (2007). Toxic Legacy, Synthetic Toxins in the Food,
Water, and Air in American Cities. Boston Massachusetts: Elsevier Publishing
Rosenfeld, P.E., and Suffet I.H. (2004). Control of Compost Odor Using High Carbon Wood Ash. Water Science
and Technology. 49(9),171-178.
Rosenfeld P. E., J.J. Clark, I.H. (Mel) Suffet (2004). The Value of An Odor-Quality-Wheel Classification Scheme
For The Urban Environment. Water Environment Federation’s Technical Exhibition and Conference (WEFTEC)
2004. New Orleans, October 2-6, 2004.
Rosenfeld, P.E., and Suffet, I.H. (2004). Understanding Odorants Associated With Compost, Biomass Facilities,
and the Land Application of Biosolids. Water Science and Technology. 49(9), 193-199.
Rosenfeld, P.E., and Suffet I.H. (2004). Control of Compost Odor Using High Carbon Wood Ash, Water Science
and Technology, 49( 9), 171-178.
Rosenfeld, P. E., Grey, M. A., Sellew, P. (2004). Measurement of Biosolids Odor and Odorant Emissions from
Windrows, Static Pile and Biofilter. Water Environment Research. 76(4), 310-315.
Rosenfeld, P.E., Grey, M and Suffet, M. (2002). Compost Demonstration Project, Sacramento California Using
High-Carbon Wood Ash to Control Odor at a Green Materials Composting Facility. Integrated Waste Management
Board Public Affairs Office, Publications Clearinghouse (MS–6), Sacramento, CA Publication #442-02-008.
Rosenfeld, P.E., and C.L. Henry. (2001). Characterization of odor emissions from three different biosolids. Water
Soil and Air Pollution. 127(1-4), 173-191.
Rosenfeld, P.E., and Henry C. L., (2000). Wood ash control of odor emissions from biosolids application. Journal
of Environmental Quality. 29, 1662-1668.
Rosenfeld, P.E., C.L. Henry and D. Bennett. (2001). Wastewater dewatering polymer affect on biosolids odor
emissions and microbial activity. Water Environment Research. 73(4), 363-367.
Rosenfeld, P.E., and C.L. Henry. (2001). Activated Carbon and Wood Ash Sorption of Wastewater, Compost, and
Biosolids Odorants. Water Environment Research, 73, 388-393.
Paul E. Rosenfeld, Ph.D. Page 4 of 12 October 2022
Rosenfeld, P.E., and Henry C. L., (2001). High carbon wood ash effect on biosolids microbial activity and odor.
Water Environment Research. 131(1-4), 247-262.
Chollack, T. and P. Rosenfeld. (1998). Compost Amendment Handbook For Landscaping. Prepared for and
distributed by the City of Redmond, Washington State.
Rosenfeld, P. E. (1992). The Mount Liamuiga Crater Trail. Heritage Magazine of St. Kitts, 3(2).
Rosenfeld, P. E. (1993). High School Biogas Project to Prevent Deforestation On St. Kitts. Biomass Users
Network, 7(1).
Rosenfeld, P. E. (1998). Characterization, Quantification, and Control of Odor Emissions From Biosolids
Application To Forest Soil. Doctoral Thesis. University of Washington College of Forest Resources.
Rosenfeld, P. E. (1994). Potential Utilization of Small Diameter Trees on Sierra County Public Land. Masters
thesis reprinted by the Sierra County Economic Council. Sierra County, California.
Rosenfeld, P. E. (1991). How to Build a Small Rural Anaerobic Digester & Uses Of Biogas In The First And Third
World. Bachelors Thesis. University of California.
Presentations:
Rosenfeld, P.E., "The science for Perfluorinated Chemicals (PFAS): What makes remediation so hard?" Law
Seminars International, (May 9-10, 2018) 800 Fifth Avenue, Suite 101 Seattle, WA.
Rosenfeld, P.E., Sutherland, A; Hesse, R.; Zapata, A. (October 3-6, 2013). Air dispersion modeling of volatile
organic emissions from multiple natural gas wells in Decatur, TX. 44th Western Regional Meeting, American
Chemical Society. Lecture conducted from Santa Clara, CA.
Sok, H.L.; Waller, C.C.; Feng, L.; Gonzalez, J.; Sutherland, A.J.; Wisdom-Stack, T.; Sahai, R.K.; Hesse, R.C.;
Rosenfeld, P.E. (June 20-23, 2010). Atrazine: A Persistent Pesticide in Urban Drinking Water.
Urban Environmental Pollution. Lecture conducted from Boston, MA.
Feng, L.; Gonzalez, J.; Sok, H.L.; Sutherland, A.J.; Waller, C.C.; Wisdom-Stack, T.; Sahai, R.K.; La, M.; Hesse,
R.C.; Rosenfeld, P.E. (June 20-23, 2010). Bringing Environmental Justice to East St. Louis,
Illinois. Urban Environmental Pollution. Lecture conducted from Boston, MA.
Rosenfeld, P.E. (April 19-23, 2009). Perfluoroctanoic Acid (PFOA) and Perfluoroactane Sulfonate (PFOS)
Contamination in Drinking Water From the Use of Aqueous Film Forming Foams (AFFF) at Airports in the United
States. 2009 Ground Water Summit and 2009 Ground Water Protection Council Spring Meeting , Lecture conducted
from Tuscon, AZ.
Rosenfeld, P.E. (April 19-23, 2009). Cost to Filter Atrazine Contamination from Drinking Water in the United
States” Contamination in Drinking Water From the Use of Aqueous Film Forming Foams (AFFF) at Airports in the
United States. 2009 Ground Water Summit and 2009 Ground Water Protection Council Spring Meeting. Lecture
conducted from Tuscon, AZ.
Wu, C., Tam, L., Clark, J., Rosenfeld, P. (20-22 July, 2009). Dioxin and furan blood lipid concentrations in
populations living near four wood treatment facilities in the United States. Brebbia, C.A. and Popov, V., eds., Air
Pollution XVII: Proceedings of the Seventeenth International Conference on Modeling, Monitoring and
Management of Air Pollution. Lecture conducted from Tallinn, Estonia.
Rosenfeld, P. E. (October 15-18, 2007). Moss Point Community Exposure To Contaminants From A Releasing
Facility. The 23rd Annual International Conferences on Soils Sediment and Water. Platform lecture conducted from
University of Massachusetts, Amherst MA.
Paul E. Rosenfeld, Ph.D. Page 5 of 12 October 2022
Rosenfeld, P. E. (October 15-18, 2007). The Repeated Trespass of Tritium-Contaminated Water Into A
Surrounding Community Form Repeated Waste Spills From A Nuclear Power Plant. The 23rd Annual International
Conferences on Soils Sediment and Water. Platform lecture conducted from University of Massachusetts, Amherst
MA.
Rosenfeld, P. E. (October 15-18, 2007). Somerville Community Exposure To Contaminants From Wood Treatment
Facility Emissions. The 23rd Annual International Conferences on Soils Sediment and Water. Lecture conducted
from University of Massachusetts, Amherst MA.
Rosenfeld P. E. (March 2007). Production, Chemical Properties, Toxicology, & Treatment Case Studies of 1,2,3-
Trichloropropane (TCP). The Association for Environmental Health and Sciences (AEHS) Annual Meeting. Lecture
conducted from San Diego, CA.
Rosenfeld P. E. (March 2007). Blood and Attic Sampling for Dioxin/Furan, PAH, and Metal Exposure in Florala,
Alabama. The AEHS Annual Meeting. Lecture conducted from San Diego, CA.
Hensley A.R., Scott, A., Rosenfeld P.E., Clark, J.J.J. (August 21 – 25, 2006). Dioxin Containing Attic Dust And
Human Blood Samples Collected Near A Former Wood Treatment Facility. The 26th International Symposium on
Halogenated Persistent Organic Pollutants – DIOXIN2006. Lecture conducted from Radisson SAS Scandinavia
Hotel in Oslo Norway.
Hensley A.R., Scott, A., Rosenfeld P.E., Clark, J.J.J. (November 4-8, 2006). Dioxin Containing Attic Dust And
Human Blood Samples Collected Near A Former Wood Treatment Facility. APHA 134 Annual Meeting &
Exposition. Lecture conducted from Boston Massachusetts.
Paul Rosenfeld Ph.D. (October 24-25, 2005). Fate, Transport and Persistence of PFOA and Related Chemicals.
Mealey’s C8/PFOA. Science, Risk & Litigation Conference. Lecture conducted from The Rittenhouse Hotel,
Philadelphia, PA.
Paul Rosenfeld Ph.D. (September 19, 2005). Brominated Flame Retardants in Groundwater: Pathways to Human
Ingestion, Toxicology and Remediation PEMA Emerging Contaminant Conference. Lecture conducted from Hilton
Hotel, Irvine California.
Paul Rosenfeld Ph.D. (September 19, 2005). Fate, Transport, Toxicity, And Persistence of 1,2,3-TCP. PEMA
Emerging Contaminant Conference. Lecture conducted from Hilton Hotel in Irvine, California.
Paul Rosenfeld Ph.D. (September 26-27, 2005). Fate, Transport and Persistence of PDBEs. Mealey’s Groundwater
Conference. Lecture conducted from Ritz Carlton Hotel, Marina Del Ray, California.
Paul Rosenfeld Ph.D. (June 7-8, 2005). Fate, Transport and Persistence of PFOA and Related Chemicals.
International Society of Environmental Forensics: Focus On Emerging Contaminants. Lecture conducted from
Sheraton Oceanfront Hotel, Virginia Beach, Virginia.
Paul Rosenfeld Ph.D. (July 21-22, 2005). Fate Transport, Persistence and Toxicology of PFOA and Related
Perfluorochemicals. 2005 National Groundwater Association Ground Water And Environmental Law Conference.
Lecture conducted from Wyndham Baltimore Inner Harbor, Baltimore Maryland.
Paul Rosenfeld Ph.D. (July 21-22, 2005). Brominated Flame Retardants in Groundwater: Pathways to Human
Ingestion, Toxicology and Remediation. 2005 National Groundwater Association Ground Water and
Environmental Law Conference. Lecture conducted from Wyndham Baltimore Inner Harbor, Baltimore Maryland.
Paul Rosenfeld, Ph.D. and James Clark Ph.D. and Rob Hesse R.G. (May 5-6, 2004). Tert-butyl Alcohol Liability
and Toxicology, A National Problem and Unquantified Liability. National Groundwater Association. Environmental
Law Conference. Lecture conducted from Congress Plaza Hotel, Chicago Illinois.
Paul E. Rosenfeld, Ph.D. Page 6 of 12 October 2022
Paul Rosenfeld, Ph.D. (March 2004). Perchlorate Toxicology. Meeting of the American Groundwater Trust.
Lecture conducted from Phoenix Arizona.
Hagemann, M.F., Paul Rosenfeld, Ph.D. and Rob Hesse (2004). Perchlorate Contamination of the Colorado River.
Meeting of tribal representatives. Lecture conducted from Parker, AZ.
Paul Rosenfeld, Ph.D. (April 7, 2004). A National Damage Assessment Model For PCE and Dry Cleaners.
Drycleaner Symposium. California Ground Water Association. Lecture conducted from Radison Hotel, Sacramento,
California.
Rosenfeld, P. E., Grey, M., (June 2003) Two stage biofilter for biosolids composting odor control. Seventh
International In Situ And On Site Bioremediation Symposium Battelle Conference Orlando, FL.
Paul Rosenfeld, Ph.D. and James Clark Ph.D. (February 20-21, 2003) Understanding Historical Use, Chemical
Properties, Toxicity and Regulatory Guidance of 1,4 Dioxane. National Groundwater Association. Southwest Focus
Conference. Water Supply and Emerging Contaminants.. Lecture conducted from Hyatt Regency Phoenix Arizona.
Paul Rosenfeld, Ph.D. (February 6-7, 2003). Underground Storage Tank Litigation and Remediation. California
CUPA Forum. Lecture conducted from Marriott Hotel, Anaheim California.
Paul Rosenfeld, Ph.D. (October 23, 2002) Underground Storage Tank Litigation and Remediation. EPA
Underground Storage Tank Roundtable. Lecture conducted from Sacramento California.
Rosenfeld, P.E. and Suffet, M. (October 7- 10, 2002). Understanding Odor from Compost, Wastewater and
Industrial Processes. Sixth Annual Symposium On Off Flavors in the Aquatic Environment. International Water
Association. Lecture conducted from Barcelona Spain.
Rosenfeld, P.E. and Suffet, M. (October 7- 10, 2002). Using High Carbon Wood Ash to Control Compost Odor.
Sixth Annual Symposium On Off Flavors in the Aquatic Environment. International Water Association. Lecture
conducted from Barcelona Spain.
Rosenfeld, P.E. and Grey, M. A. (September 22-24, 2002). Biocycle Composting For Coastal Sage Restoration.
Northwest Biosolids Management Association. Lecture conducted from Vancouver Washington..
Rosenfeld, P.E. and Grey, M. A. (November 11-14, 2002). Using High-Carbon Wood Ash to Control Odor at a
Green Materials Composting Facility. Soil Science Society Annual Conference. Lecture conducted from
Indianapolis, Maryland.
Rosenfeld. P.E. (September 16, 2000). Two stage biofilter for biosolids composting odor control. Water
Environment Federation. Lecture conducted from Anaheim California.
Rosenfeld. P.E. (October 16, 2000). Wood ash and biofilter control of compost odor. Biofest. Lecture conducted
from Ocean Shores, California.
Rosenfeld, P.E. (2000). Bioremediation Using Organic Soil Amendments. California Resource Recovery
Association. Lecture conducted from Sacramento California.
Rosenfeld, P.E., C.L. Henry, R. Harrison. (1998). Oat and Grass Seed Germination and Nitrogen and Sulfur
Emissions Following Biosolids Incorporation With High-Carbon Wood-Ash. Water Environment Federation 12th
Annual Residuals and Biosolids Management Conference Proceedings. Lecture conducted from Bellevue
Washington.
Rosenfeld, P.E., and C.L. Henry. (1999). An evaluation of ash incorporation with biosolids for odor reduction. Soil
Science Society of America. Lecture conducted from Salt Lake City Utah.
Paul E. Rosenfeld, Ph.D. Page 7 of 12 October 2022
Rosenfeld, P.E., C.L. Henry, R. Harrison. (1998). Comparison of Microbial Activity and Odor Emissions from
Three Different Biosolids Applied to Forest Soil. Brown and Caldwell. Lecture conducted from Seattle Washington.
Rosenfeld, P.E., C.L. Henry. (1998). Characterization, Quantification, and Control of Odor Emissions from
Biosolids Application To Forest Soil. Biofest. Lecture conducted from Lake Chelan, Washington.
Rosenfeld, P.E, C.L. Henry, R. Harrison. (1998). Oat and Grass Seed Germination and Nitrogen and Sulfur
Emissions Following Biosolids Incorporation With High-Carbon Wood-Ash. Water Environment Federation 12th
Annual Residuals and Biosolids Management Conference Proceedings. Lecture conducted from Bellevue
Washington.
Rosenfeld, P.E., C.L. Henry, R. B. Harrison, and R. Dills. (1997). Comparison of Odor Emissions From Three
Different Biosolids Applied to Forest Soil. Soil Science Society of America. Lecture conducted from Anaheim
California.
Teaching Experience:
UCLA Department of Environmental Health (Summer 2003 through 20010) Taught Environmental Health Science
100 to students, including undergrad, medical doctors, public health professionals and nurses. Course focused on
the health effects of environmental contaminants.
National Ground Water Association, Successful Remediation Technologies. Custom Course in Sante Fe, New
Mexico. May 21, 2002. Focused on fate and transport of fuel contaminants associated with underground storage
tanks.
National Ground Water Association; Successful Remediation Technologies Course in Chicago Illinois. April 1,
2002. Focused on fate and transport of contaminants associated with Superfund and RCRA sites.
California Integrated Waste Management Board, April and May, 2001. Alternative Landfill Caps Seminar in San
Diego, Ventura, and San Francisco. Focused on both prescriptive and innovative landfill cover design.
UCLA Department of Environmental Engineering, February 5, 2002. Seminar on Successful Remediation
Technologies focusing on Groundwater Remediation.
University Of Washington, Soil Science Program, Teaching Assistant for several courses including: Soil Chemistry,
Organic Soil Amendments, and Soil Stability.
U.C. Berkeley, Environmental Science Program Teaching Assistant for Environmental Science 10.
Academic Grants Awarded:
California Integrated Waste Management Board. $41,000 grant awarded to UCLA Institute of the Environment.
Goal: To investigate effect of high carbon wood ash on volatile organic emissions from compost. 2001.
Synagro Technologies, Corona California: $10,000 grant awarded to San Diego State University.
Goal: investigate effect of biosolids for restoration and remediation of degraded coastal sage soils. 2000.
King County, Department of Research and Technology, Washington State. $100,000 grant awarded to University of
Washington: Goal: To investigate odor emissions from biosolids application and the effect of polymers and ash on
VOC emissions. 1998.
Northwest Biosolids Management Association, Washington State. $20,000 grant awarded to investigate effect of
polymers and ash on VOC emissions from biosolids. 1997.
Paul E. Rosenfeld, Ph.D. Page 8 of 12 October 2022
James River Corporation, Oregon: $10,000 grant was awarded to investigate the success of genetically engineered
Poplar trees with resistance to round-up. 1996.
United State Forest Service, Tahoe National Forest: $15,000 grant was awarded to investigating fire ecology of the
Tahoe National Forest. 1995.
Kellogg Foundation, Washington D.C. $500 grant was awarded to construct a large anaerobic digester on St. Kitts
in West Indies. 1993
Deposition and/or Trial Testimony:
In the Superior Court of the State of California, County of San Bernardino
Billy Wildrick, Plaintiff vs. BNSF Railway Company
Case No. CIVDS1711810
Rosenfeld Deposition 10-17-2022
In the State Court of Bibb County, State of Georgia
Richard Hutcherson, Plaintiff vs Norfolk Southern Railway Company
Case No. 10-SCCV-092007
Rosenfeld Deposition 10-6-2022
In the Civil District Court of the Parish of Orleans, State of Louisiana
Millard Clark, Plaintiff vs. Dixie Carriers, Inc. et al.
Case No. 2020-03891
Rosenfeld Deposition 9-15-2022
In The Circuit Court of Livingston County, State of Missouri, Circuit Civil Division
Shirley Ralls, Plaintiff vs. Canadian Pacific Railway and Soo Line Railroad
Case No. 18-LV-CC0020
Rosenfeld Deposition 9-7-2022
In The Circuit Court of the 13th Judicial Circuit Court, Hillsborough County, Florida Civil Division
Jonny C. Daniels, Plaintiff vs. CSX Transportation Inc.
Case No. 20-CA-5502
Rosenfeld Deposition 9-1-2022
In The Circuit Court of St. Louis County, State of Missouri
Kieth Luke et. al. Plaintiff vs. Monsanto Company et. al.
Case No. 19SL-CC03191
Rosenfeld Deposition 8-25-2022
In The Circuit Court of the 13th Judicial Circuit Court, Hillsborough County, Florida Civil Division
Jeffery S. Lamotte, Plaintiff vs. CSX Transportation Inc.
Case No. NO. 20-CA-0049
Rosenfeld Deposition 8-22-2022
In State of Minnesota District Court, County of St. Louis Sixth Judicial District
Greg Bean, Plaintiff vs. Soo Line Railroad Company
Case No. 69-DU-CV-21-760
Rosenfeld Deposition 8-17-2022
In United States District Court Western District of Washington at Tacoma, Washington
John D. Fitzgerald Plaintiff vs. BNSF
Case No. 3:21-cv-05288-RJB
Rosenfeld Deposition 8-11-2022
Paul E. Rosenfeld, Ph.D. Page 9 of 12 October 2022
In Circuit Court of the Sixth Judicial Circuit, Macon Illinois
Rocky Bennyhoff Plaintiff vs. Norfolk Southern
Case No. 20-L-56
Rosenfeld Deposition 8-3-2022
In Court of Common Pleas, Hamilton County Ohio
Joe Briggins Plaintiff vs. CSX
Case No. A2004464
Rosenfeld Deposition 6-17-2022
In the Superior Court of the State of California, County of Kern
George LaFazia vs. BNSF Railway Company.
Case No. BCV-19-103087
Rosenfeld Deposition 5-17-2022
In the Circuit Court of Cook County Illinois
Bobby Earles vs. Penn Central et. al.
Case No. 2020-L-000550
Rosenfeld Deposition 4-16-2022
In United States District Court Easter District of Florida
Albert Hartman Plaintiff vs. Illinois Central
Case No. 2:20-cv-1633
Rosenfeld Deposition 4-4-2022
In the Circuit Court of the 4th Judicial Circuit, in and For Duval County, Florida
Barbara Steele vs. CSX Transportation
Case No.16-219-Ca-008796
Rosenfeld Deposition 3-15-2022
In United States District Court Easter District of New York
Romano et al. vs. Northrup Grumman Corporation
Case No. 16-cv-5760
Rosenfeld Deposition 3-10-2022
In the Circuit Court of Cook County Illinois
Linda Benjamin vs. Illinois Central
Case No. No. 2019 L 007599
Rosenfeld Deposition 1-26-2022
In the Circuit Court of Cook County Illinois
Donald Smith vs. Illinois Central
Case No. No. 2019 L 003426
Rosenfeld Deposition 1-24-2022
In the Circuit Court of Cook County Illinois
Jan Holeman vs. BNSF
Case No. 2019 L 000675
Rosenfeld Deposition 1-18-2022
In the State Court of Bibb County State of Georgia
Dwayne B. Garrett vs. Norfolk Southern
Case No. 20-SCCV-091232
Rosenfeld Deposition 11-10-2021
Paul E. Rosenfeld, Ph.D. Page 10 of 12 October 2022
In the Circuit Court of Cook County Illinois
Joseph Ruepke vs. BNSF
Case No. 2019 L 007730
Rosenfeld Deposition 11-5-2021
In the United States District Court For the District of Nebraska
Steven Gillett vs. BNSF
Case No. 4:20-cv-03120
Rosenfeld Deposition 10-28-2021
In the Montana Thirteenth District Court of Yellowstone County
James Eadus vs. Soo Line Railroad and BNSF
Case No. DV 19-1056
Rosenfeld Deposition 10-21-2021
In the Circuit Court Of The Twentieth Judicial Circuit, St Clair County, Illinois
Martha Custer et al.cvs. Cerro Flow Products, Inc.
Case No. 0i9-L-2295
Rosenfeld Deposition 5-14-2021
Trial October 8-4-2021
In the Circuit Court of Cook County Illinois
Joseph Rafferty vs. Consolidated Rail Corporation and National Railroad Passenger Corporation d/b/a
AMTRAK,
Case No. 18-L-6845
Rosenfeld Deposition 6-28-2021
In the United States District Court For the Northern District of Illinois
Theresa Romcoe vs. Northeast Illinois Regional Commuter Railroad Corporation d/b/a METRA Rail
Case No. 17-cv-8517
Rosenfeld Deposition 5-25-2021
In the Superior Court of the State of Arizona In and For the Cunty of Maricopa
Mary Tryon et al. vs. The City of Pheonix v. Cox Cactus Farm, L.L.C., Utah Shelter Systems, Inc.
Case No. CV20127-094749
Rosenfeld Deposition 5-7-2021
In the United States District Court for the Eastern District of Texas Beaumont Division
Robinson, Jeremy et al vs. CNA Insurance Company et al.
Case No. 1:17-cv-000508
Rosenfeld Deposition 3-25-2021
In the Superior Court of the State of California, County of San Bernardino
Gary Garner, Personal Representative for the Estate of Melvin Garner vs. BNSF Railway Company.
Case No. 1720288
Rosenfeld Deposition 2-23-2021
In the Superior Court of the State of California, County of Los Angeles, Spring Street Courthouse
Benny M Rodriguez vs. Union Pacific Railroad, A Corporation, et al.
Case No. 18STCV01162
Rosenfeld Deposition 12-23-2020
In the Circuit Court of Jackson County, Missouri
Karen Cornwell, Plaintiff, vs. Marathon Petroleum, LP, Defendant.
Case No. 1716-CV10006
Rosenfeld Deposition 8-30-2019
Paul E. Rosenfeld, Ph.D. Page 11 of 12 October 2022
In the United States District Court For The District of New Jersey
Duarte et al, Plaintiffs, vs. United States Metals Refining Company et. al. Defendant.
Case No. 2:17-cv-01624-ES-SCM
Rosenfeld Deposition 6-7-2019
In the United States District Court of Southern District of Texas Galveston Division
M/T Carla Maersk vs. Conti 168., Schiffahrts-GMBH & Co. Bulker KG MS “Conti Perdido” Defendant.
Case No. 3:15-CV-00106 consolidated with 3:15-CV-00237
Rosenfeld Deposition 5-9-2019
In The Superior Court of the State of California In And For The County Of Los Angeles – Santa Monica
Carole-Taddeo-Bates et al., vs. Ifran Khan et al., Defendants
Case No. BC615636
Rosenfeld Deposition 1-26-2019
In The Superior Court of the State of California In And For The County Of Los Angeles – Santa Monica
The San Gabriel Valley Council of Governments et al. vs El Adobe Apts. Inc. et al., Defendants
Case No. BC646857
Rosenfeld Deposition 10-6-2018; Trial 3-7-19
In United States District Court For The District of Colorado
Bells et al. Plaintiffs vs. The 3M Company et al., Defendants
Case No. 1:16-cv-02531-RBJ
Rosenfeld Deposition 3-15-2018 and 4-3-2018
In The District Court Of Regan County, Texas, 112 th Judicial District
Phillip Bales et al., Plaintiff vs. Dow Agrosciences, LLC, et al., Defendants
Cause No. 1923
Rosenfeld Deposition 11-17-2017
In The Superior Court of the State of California In And For The County Of Contra Costa
Simons et al., Plaintifs vs. Chevron Corporation, et al., Defendants
Cause No. C12-01481
Rosenfeld Deposition 11-20-2017
In The Circuit Court Of The Twentieth Judicial Circuit, St Clair County, Illinois
Martha Custer et al., Plaintiff vs. Cerro Flow Products, Inc., Defendants
Case No.: No. 0i9-L-2295
Rosenfeld Deposition 8-23-2017
In United States District Court For The Southern District of Mississippi
Guy Manuel vs. The BP Exploration et al., Defendants
Case No. 1:19-cv-00315-RHW
Rosenfeld Deposition 4-22-2020
In The Superior Court of the State of California, For The County of Los Angeles
Warrn Gilbert and Penny Gilber, Plaintiff vs. BMW of North America LLC
Case No. LC102019 (c/w BC582154)
Rosenfeld Deposition 8-16-2017, Trail 8-28-2018
In the Northern District Court of Mississippi, Greenville Division
Brenda J. Cooper, et al., Plaintiffs, vs. Meritor Inc., et al., Defendants
Case No. 4:16-cv-52-DMB-JVM
Rosenfeld Deposition July 2017
Paul E. Rosenfeld, Ph.D. Page 12 of 12 October 2022
In The Superior Court of the State of Washington, County of Snohomish
Michael Davis and Julie Davis et al., Plaintiff vs. Cedar Grove Composting Inc., Defendants
Case No. 13-2-03987-5
Rosenfeld Deposition, February 2017
Trial March 2017
In The Superior Court of the State of California, County of Alameda
Charles Spain., Plaintiff vs. Thermo Fisher Scientific, et al., Defendants
Case No. RG14711115
Rosenfeld Deposition September 2015
In The Iowa District Court In And For Poweshiek County
Russell D. Winburn, et al., Plaintiffs vs. Doug Hoksbergen, et al., Defendants
Case No. LALA002187
Rosenfeld Deposition August 2015
In The Circuit Court of Ohio County, West Virginia
Robert Andrews, et al. v. Antero, et al.
Civil Action No. 14-C-30000
Rosenfeld Deposition June 2015
In The Iowa District Court for Muscatine County
Laurie Freeman et. al. Plaintiffs vs. Grain Processing Corporation, Defendant
Case No. 4980
Rosenfeld Deposition May 2015
In the Circuit Court of the 17th Judicial Circuit, in and For Broward County, Florida
Walter Hinton, et. al. Plaintiff, vs. City of Fort Lauderdale, Florida, a Municipality, Defendant.
Case No. CACE07030358 (26)
Rosenfeld Deposition December 2014
In the County Court of Dallas County Texas
Lisa Parr et al, Plaintiff, vs. Aruba et al, Defendant.
Case No. cc-11-01650-E
Rosenfeld Deposition: March and September 2013
Rosenfeld Trial April 2014
In the Court of Common Pleas of Tuscarawas County Ohio
John Michael Abicht, et al., Plaintiffs, vs. Republic Services, Inc., et al., Defendants
Case No. 2008 CT 10 0741 (Cons. w/ 2009 CV 10 0987)
Rosenfeld Deposition October 2012
In the United States District Court for the Middle District of Alabama, Northern Division
James K. Benefield, et al., Plaintiffs, vs. International Paper Company, Defendant.
Civil Action No. 2:09-cv-232-WHA-TFM
Rosenfeld Deposition July 2010, June 2011
In the Circuit Court of Jefferson County Alabama
Jaeanette Moss Anthony, et al., Plaintiffs, vs. Drummond Company Inc., et al., Defendants
Civil Action No. CV 2008-2076
Rosenfeld Deposition September 2010
In the United States District Court, Western District Lafayette Division
Ackle et al., Plaintiffs, vs. Citgo Petroleum Corporation, et al., Defendants.
Case No. 2:07CV1052
Rosenfeld Deposition July 2009
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1
Shawn Smallwood, PhD
3108 Finch Street
Davis, CA 95616
Attn. Edwin Arreola, Senior Planner
City of Arcadia
Development Services Department
240 West Huntington Drive
Arcadia, California 91066 12 December 2024
RE: Arcadia Town Center
Dear Mr. Arreola,
I write to comment on potential impacts to biological resources from the proposed
Arcadia Town Center project, which I understand would add a five-story, 440,938
square-foot mixed-use building on 2.27 acres located on the corner of Huntington Dr.
and N Santa Anita Ave. in Arcadia, CA. I comment on the analyses of impacts to
biological resources in the Initial Study/Mitigated Negative Declaration (IS/MND) (City
of Arcadia 2024).
My qualifications for preparing expert comments are the following. I hold a Ph.D.
degree in Ecology from University of California at Davis, where I also worked as a post-
graduate researcher in the Department of Agronomy and Range Sciences. My research
has been on animal density and distribution, habitat selection, wildlife interactions with
the anthrosphere, and conservation of rare and endangered species. I authored many
papers on these and other topics. I served as Chair of the Conservation Affairs
Committee for The Wildlife Society – Western Section. I am a member of The Wildlife
Society and Raptor Research Foundation, and I’ve lectured part-time at California State
University, Sacramento. I was Associate Editor of wildlife biology’s premier scientific
journal, The Journal of Wildlife Management, as well as of Biological Conservation, and
I was on the Editorial Board of Environmental Management. I have performed wildlife
surveys in California for thirty-seven years. My CV is attached.
SITE VISIT
On my behalf, Noriko Smallwood, a wildlife biologist with a Master’s Degree from
California State University Los Angeles, visited the site of the proposed project for 2.8
hours from 06:47 to 09:35 hours on 6 December 2024. She walked the site’s perimeter,
stopping to scan for wildlife with use of binoculars. Noriko recorded all species of
vertebrate wildlife she detected, including those whose members flew over the site or
were seen nearby, off the site. Animals of uncertain species identity were either omitted
or, if possible, recorded to the Genus or higher taxonomic level.
Conditions were sunny with 3 MPH northeast wind and temperatures of 52-63° F. The
site contains unoccupied office and commercial buildings and a parking lot, with
multiple ornamental trees and shrubs (Photos 1-3).
2
Photos 1 and 2. Views of the project site, 6 December 2024. Photos by Noriko
Smallwood.
Noriko saw Cooper’s hawk and peregrine falcon (Photos 3 and 4), Anna’s hummingbird
(Photos 5 and 12), house finch and red-crowned parrot (Photos 6 and 7), American crow
and black phoebe (Photos 8 and 9), acorn woodpecker (Photo 10), Allen’s hummingbird
(Photo 11), western bluebird and yellow-rumped warbler (Photos 13 and 14), northern
rough-winged swallow and California gull (Photos 15 and 16), mourning dove and band-
tailed pigeon (Photos 17 and 18), northern mockingbird (Photos 19 and 20), eastern fox
squirrel (Photo 21), among the other species listed in Table 1. Noriko detected 25 species
of vertebrate wildlife at or adjacent to the project site, including six species with special
status (Table 1).
Noriko Smallwood certifies that the foregoing and following survey results are true and
accurately reported.
3
Photos 3 and 4. Cooper’s hawk (left), and peregrine falcon (right) flying over the
project site, 6 December 2024. Photos by Noriko Smallwood.
Photo 5. Anna’s hummingbird on the project site, 6 December 2024. Photo by Noriko
Smallwood.
4
Photos 6 and 7. House finch (left) and red-crowned parrot (right) on the project site,
6 December 2024. Photos by Noriko Smallwood.
Photos 8 and 9. American crow with a piece of bread (left), and black phoebe (right)
on the project site, 6 December 2024. Photos by Noriko Smallwood.
5
Photo 10. Acorn woodpeckers just off of the project site, 6 December 2024. Photos by
Noriko Smallwood.
Photos 11 and 12. Allen’s hummingbird (left), and Anna’s hummingbird (right) on
the project site, 6 December 2024. Photos by Noriko Smallwood.
6
Photos 13 and 14. Western bluebird just off of the project site (left), and yellow-
rumped warbler on the project site (right), 6 December 2024. Photos by Noriko
Smallwood.
Photos 15 and 16. Northern rough-winged swallow (left), and California gull (right)
on the project site, 6 December 2024. Photos by Noriko Smallwood.
7
Photos 17 and 18. Mourning dove (left) and band-tailed pigeon (right) flying over
the project site, 6 December 2024. Photos by Noriko Smallwood.
Photos 19 and 20. Northern mockingbird on the project site, 6 December 2024.
Photos by Noriko Smallwood.
8
Photo 21. Eastern fox squirrel just off the project site, 6 December 2024. Photo by
Noriko Smallwood.
Table 1. Species of wildlife Noriko observed during 2.8 hours of survey on 6 December 2024.
Common name Species name Status1 Notes
Rock pigeon Columba livia Non-native Flew over
Band-tailed pigeon Patagioenas fasciata Flew over
Mourning dove Zenaida macroura Flew over
Anna’s hummingbird Calypte anna
Territorial; chased NRWS and
ALHU
Allen’s hummingbird Selasphorus sasin BCC Perched and flew over
California gull Larus californicus BCC, WL 3 flew over
Cooper’s hawk Accipiter cooperii WL, BOP Chased BTPI on site
Red-tailed hawk Buteo jamaicensis BOP Just off site
Acorn woodpecker Melanerpes formicivorus Collected acorns
Nuttall’s woodpecker Picoides nuttallii BCC Just off site
Peregrine falcon Falco peregrinus BOP Flew over, perched nearby
Red-crowned parrot Amazona viridigenalis Many
Black phoebe Sayornis nigricans Perched, foraged
American crow Corvus brachyrhynchos Many
Common raven Corvus corax Flew over
Northern rough-winged
swallow
Stelgidopteryx
serripennis Foraged, perched on site
9
Common name Species name Status1 Notes
Bushtit Psaltriparus minimus Foraged on site
Ruby-crowned kinglet Regulus calendula Just off site
Northern mockingbird Mimus polyglottos Perched
European starling Sturnus vulgaris Non-native Flock flew over
Western bluebird Sialia mexicana Perched
House finch Haemorphous mexicanus Perched, socialized
Yellow-rumped warbler Setophaga coronata Foraged
Desert cottontail Sylvilagus audubonii Scat
Eastern fox squirrel Sciurus niger Non-native Just off site
1 Listed as BCC = U.S. Fish and Wildlife Service Bird of Conservation Concern, WL = Taxa to Watch
List (Shuford and Gardali 2008), and BOP = Birds of Prey (California Fish and Game Code 3503.5).
The species of wildlife Noriko detected at the project site comprised only a sampling of
the species that were present during her survey. To demonstrate this, I fit a nonlinear
regression model to Noriko’s cumulative number of vertebrate species detected with
time into her survey to predict the number of species that she would have detected with
a longer survey or perhaps with additional biologists available to assist her. The model is
a logistic growth model which reaches an asymptote that corresponds with the
maximum number of vertebrate wildlife species that could have been detected during
the survey. In this case, the model fit to her survey predicts 50 species of vertebrate
wildlife were available to be detected during that morning, or twice the number of
species she actually detected (Figure 1).
Unknown are the identities of those species Noriko missed, but the pattern in her data
indicates relatively high use of the project site compared to 38 other south-coast sites
she and I have surveyed in California. Noriko’s rate of detections of species at the project
site tracked the 95% confidence interval estimated from other surveys in California’s
south coast region (Figure 1). Importantly, however, the species Noriko did and did not
detect on 6 December 2024 composed only a fraction of the species that would occur at
the project site over the period of a year or longer. This is because many species are
seasonal in their occurrence.
At least a year’s worth of surveys would be needed to more accurately report the number
of vertebrate species that occur at the project site, but I only have Noriko’s one survey.
However, by use of an analytical bridge, a modeling effort applied to a large, robust data
set from a research site can predict the number of vertebrate wildlife species that likely
make use of the site over the longer term. As part of my research, I completed a much
larger survey effort across 167 km2 of annual grasslands of the Altamont Pass Wind
Resource Area, where from 2015 through 2019 I performed 721 1-hour visual-scan
surveys, or 721 hours of surveys, at 46 stations. I used binoculars and otherwise the
methods were the same as the methods I and other consulting biologists use for surveys
at proposed project sites. At each of the 46 survey stations, I tallied new species detected
with each sequential survey at that station, and then related the cumulative species
detected to the hours (number of surveys, as each survey lasted 1 hour) used to
10
accumulate my counts of species detected. I used combined quadratic and simplex
methods of estimation in Statistica to estimate least-squares, best-fit nonlinear models
of the number of cumulative species detected regressed on hours of survey (number of
surveys) at the station: ܴ =ଵ
ଵ ൗା×(ு௨௦) , where ܴ represented cumulative species
richness detected. The coefficients of determination, r2, of the models ranged 0.88 to
1.00, with a mean of 0.97 (95% CI: 0.96, 0.98); or in other words, the models were
excellent fits to the data.
Figure 1. Actual
and predicted
relationships
between the
numbers of
vertebrate
wildlife species
detected and the
elapsed survey
time based on
Noriko’s visual-
scan surveys on
31 August and 1
September 2024.
I projected the predictions of each model to thousands of hours to find predicted
asymptotes of wildlife species richness. The mean model-predicted asymptote of species
richness was 57 after 11,857 hours of visual-scan surveys among the 46 stations of my
research site. I also averaged model predictions of species richness at each incremental
increase of number of surveys, i.e., number of hours (Figure 2). On average I would have
detected 12.1 species over my first 2.8 hours of surveys at my research site in the
Altamont Pass (2.8 hours to match the 2.8 hours Noriko surveyed at the project site),
which composed 21.2% of the predicted total number of species I would detect with a
much larger survey effort at the research si te. Given the example illustrated in Figure 2,
the 25 species Noriko detected after her 2.8 hours of survey at the project site likely
represented 21.2% of the species to be detected after many more visual-scan surveys
over another year or longer. With many more repeat surveys through the year, Noriko
0 50 100 150 200 250 300
Minutes into survey
0
5
10
15
20
25
30
35
Model prediction
r2 = 0.98, loss = 21.9
95% CI of 38 visual-
scan surveys 2019-2024
Actual count of speciesCu
m
u
l
a
t
i
v
e
n
u
m
b
e
r
o
f
w
i
l
d
l
i
f
e
s
p
e
c
i
e
s
d
e
t
e
c
t
e
d
11
would likely detect 25 0.212ൗ = 118 species of vertebrate wildlife at the site. Assuming
Noriko’s ratio of special-status to non-special-status species was to hold through the
detections of all 118 predicted species, then continued surveys would eventually detect
28 special-status species of vertebrate wildlife.
Because my prediction of 118 species of vertebrate wildlife, including 28 special-status
species of vertebrate wildlife, is derived from daytime visual-scan surveys, and would
detect few nocturnal mammals such as bats, the true number of species composing the
wildlife community of the site must be larger. Noriko’s reconnaissance survey should
serve only as a starting point toward characterization of the site’s wildlife community,
but it certainly cannot alone inform of the inventory of species that use the site. More
surveys are needed to inventory the project site for wildlife. Nevertheless, the large
number of species I predict at the project site is indicative of a relatively species-rich
wildlife community that warrants a serious survey effort.
Figure 2. Mean (95% CI)
predicted wildlife species
richness, ܴ , as a nonlinear
function of hour-long
survey increments across
46 visual-scan survey
stations across the
Altamont Pass Wind
Resource Area, Alameda
and Contra Costa
Counties, 2015ࣣ2019. Note
that the location of the
study is largely irrelevant
to the utility of the graph
to the interpretation of
survey outcomes at the
project site. It is the
pattern in the data that is
relevant, because the
pattern is typical of the
pattern seen elsewhere.
EXISTING ENVIRNMENTAL SETTING
The IS/MND fails to complete the first step in analysis of potential project impacts to
biological resources, which is to accurately characterize the existing environmental
setting, including the biological species that use the site. This first analytical step should
also characterize the wildlife community that uses that portion of the aerosphere that
would be appropriated by the project’s building. This appropriated airspace is habitat
that would be lost to many species of birds, where avian habitat is defined by a species’
use of its environment (Hall et al. 1997), typically based on measurement (Smallwood
0204060801000
10
20
30
40
50
Cumulative number of surveys (hours)
(9
5
%
C
I
)
12
2002). The gaseous atmosphere, or aerosphere, is habitat to many species. It is a
principal medium of life to volant animals such as birds (Davy et al. 2017, Diehl et al.
2017). The aerosphere is where birds and bats and other volant animals with wings
migrate, disperse, forage, perform courtship and where some of them mate. Birds are
some of the many types of animals that evolved wings as a morphological adaptation to
thrive by moving through the medium of the aerosphere. The aerosphere is habitat not
just to volant wildlife that fly through it, but to any and every animal that breaths air.
Indeed, an entire discipline of ecology has emerged to study this essential aspect of
habitat – the discipline of aeroecology (Kunz et al. 2008). The aerosphere is part of the
existing environmental setting, and it needs to be characterized as such in CEQA review.
The IS/MND makes no mention of the aerosphere, let alone which species of birds
might use it.
To achieve the CEQA’s primary objective to disclose potential environmental impacts of
a proposed project, the analysis should identify which biological species are known to
occur at the proposed project site, which special-status species are likely to occur, and
the limitations of the survey effort directed to the site. Analysts need this information to
characterize the environmental setting as a basis for opining on, or predicting, potential
project impacts to biological resources. However, the IS/MND provides neither the
results of a field survey to detect species of wildlife nor of a desktop review to identify
occurrence records of special-status species in the project area.
Environmental Setting informed by Field Surveys
No surveys for birds were completed at the project site. Surveys are needed to
characterize bird flights during both day and night, and the bird flights need to be
further attributed by species, heights above ground, flight directions, and specific flight
behaviors. The lack of surveys leaves the City of Arcadia blind to any potential project
impacts to birds, because without a survey there is no sound basis for characterizing the
existing environmental setting. Going forward with the project without completing
appropriate avian surveys would be indefensible, and doing so could result in high costs
to birds and to the building’s owner if windows require retrofits or window glass needs
to be marked for visibility post-construction (see below, under Bird-Window Collisions).
The IS/MND reports that the site supports 26 trees, but only three of which are
protected by City Code. However, the IS/MND fails to report the importance of the site’s
trees to birds. The trees on site serve to expand the vertical structural available to birds
on the adjoining County Park and golf course, the combination of which composes a
considerable open space within an expansive urbanized landscape. The trees on the
project site effectively add open space to birds.
Of Noriko Smallwood’s 130 observations of birds in flight during her survey, 38 were
headed to or from trees on the project site. House finches, yellow-rumped warblers and
red-crowned parrots flew to and from the palm trees located in the middle of the site. An
Allen’s hummingbird and an Anna’s hummingbird flew back and forth to other trees in
the middle of the site. All of these and more observations should have been made by
wildlife biologists sent to the project site by the City of Arcadia.
13
Noriko saw 17 species flying through the airspace of the project site, and all these flying
birds were within the height domain of the proposed building. Of the flying birds, 44%
were within 30 feet of the ground, and 93% were within 60 feet of the ground. Three of
the birds circled over the site (including the peregrine falcon), while 38 were headed
west, 30 east, 35 north, and 21 south. Unknown, however, are the numbers of birds,
their heights above ground, behaviors, and their bearings in other seasons or at night.
These details matter because they can affect collision rates with the building’s windows,
and whether the building can be designed to minimize collisions.
Environmental Setting informed by Desktop Review
The purpose of literature and database reviews and of consulting with local experts is to
inform the field survey, and to augment interpretation of its outcome. Analysts need this
information to identify which species are known to have occurred at or near the project
site, and to identify which other special-status species could conceivably occur at the site
due to geographic range overlap and migration flight paths.
The IS/MND includes no desktop review to assess avian species’ occurrence likelihoods
in or near the airspace that would be appropriated by the proposed project. The lack of a
desktop review for avian flight paths and for special-status species likely to occur at the
project site leaves the City of Arcadia uninformed of and unprepared for potential
project impacts to birds. It also fails to publicly disclose potential impacts to birds.
In my assessment based on database review, 77 special-status species of birds are known
to occur near enough to the project site to warrant analysis of occurrence potential
(Table 2). Members of these 77 species can fly within the aerosphere of the project site
and would be vulnerable to collision with the building or with loss of energy caused by
the need to circumnavigate the building. Of these 77 special-status species, 6 (8%) have
been documented on or just next to the project site, 45 (58%) have been documented
within 1.5 miles of the site (Very close), 11 (14%) within 1.5 and 4 miles (Nearby), and
another 14 (18%) within 4 to 30 miles (In region). Most (80.5%) of the species in Table 2
have been reportedly seen within 4 miles of the project site. It is reasonable to conclude,
therefore, that the site’s airspace carries considerable potential for supporting the
travels of many special-status species of birds based on proximity of recorded
occurrences.
14
Table 2. Occurrence likelihoods of special-status bird species at or near the proposed project site,
according to eBird/iNaturalist records (https://eBird.org, https://www.inaturalist.org) and on-site
survey findings, where ‘Very close’ indicates within 1.5 miles of the site, “nearby” indicates within 1.5
and 4 miles, and “in region” indicates within 4 and 30 miles, and ‘in range’ means the species’
geographic range overlaps the site. Entries in bold font identify species detected by Noriko.
Common name
Species name
Status1
Data base
records,
Site visits
Monarch Danaus plexippus FC Very close
Crotch’s bumble bee Bombus crotchii CCE Very close
Western pond turtle Emys marmorata SSC In region
Blainville’s horned lizard Phrynosoma blainvillii SSC In region
Coastal whiptail Aspidoscelis tigris stejnegeri SSC Nearby
San Diegan legless lizard Anniella stebbinsi SSC Very close
California glossy snake Arizona elegans occidentalis SSC In region
Coast patch-nosed snake Salvadora hexalepis virgultea SSC In region
Fulvous whistling-duck Dendrocygna bicolor SSC1 In region
Western grebe Aechmophorus occidentalis BCC Very close
Clark’s grebe Aechmophorus clarkii BCC Very close
Western yellow-billed cuckoo Coccyzus americanus
occidentalis
FT, CE In region
Black swift Cypseloides niger SSC3, BCC Nearby
Vaux’s swift Chaetura vauxi SSC2 Very close
Calliope hummingbird Selasphorus calliope BCC Very close
Rufous hummingbird Selasphorus rufus BCC Very close
Allen’s hummingbird Selasphorus sasin BCC On site
Laughing gull Leucophaeus atricilla WL In region
Franklin’s gull Leucophaeus pipixcan BCC In region
Heermann’s gull Larus heermanni BCC In region
Western gull Larus occidentalis BCC Very close
California gull Larus californicus BCC, WL On site
Double-crested cormorant Phalacrocorax auritus WL Very close
American white pelican Pelacanus erythrorhynchos SSC1 Very close
California brown pelican Pelecanus occidentalis
californicus
CFP Nearby
Least bittern Ixobrychus exilis SSC2 In region
White-faced ibis Plegadis chihi WL Very close
Turkey vulture Cathartes aura BOP Very close
Osprey Pandion haliaetus WL, BOP Very close
White-tailed kite Elanus luecurus CFP, BOP Very close
Golden eagle Aquila chrysaetos BGEPA, CFP,
BOP, WL
Very close
Northern harrier Circus cyaneus BCC, SSC3, BOP Very close
Sharp-shinned hawk Accipiter striatus WL, BOP Very close
Cooper’s hawk Accipiter cooperii WL, BOP On site
Bald eagle Haliaeetus leucocephalus CE, BGEPA, BOP Very close
15
Common name
Species name
Status1
Data base
records,
Site visits
Red-shouldered hawk Buteo lineatus BOP Very close
Swainson’s hawk Buteo swainsoni CT, BOP Very close
Red-tailed hawk Buteo jamaicensis BOP Just offsite
Ferruginous hawk Buteo regalis WL, BOP Very close
Zone-tailed hawk Buteo albonotatus BOP Very close
Harris’ hawk Parabuteo unicinctus WL, BOP In region
Western screech-owl Megascops kennicotti BOP Very close
Great horned owl Bubo virginianus BOP Very close
Burrowing owl Athene cunicularia BCC, SSC2, BOP,
CCE
Nearby
Long-eared owl Asio otus BCC, SSC3, BOP In region
Short-eared owl Asia flammeus BCC, SSC3, BOP In region
Northern saw-whet owl Aegolius acadicus BOP Nearby
Northern pygmy-owl Glaucidium gnoma BOP Nearby
Lewis’s woodpecker Melanerpes lewis BCC Very close
Nuttall’s woodpecker Picoides nuttallii BCC Just offsite
American kestrel Falco sparverius BOP Very close
Merlin Falco columbarius WL, BOP Very close
Peregrine falcon Falco peregrinus BOP On site
Prairie falcon Falco mexicanus WL, BOP Very close
Olive-sided flycatcher Contopus cooperi BCC, SSC2 Very close
Willow flycatcher Empidonax trailii CE Very close
Southwestern willow flycatcher Empidonax traillii extimus FE, CE In region
Vermilion flycatcher Pyrocephalus rubinus SSC2 Very close
Least Bell’s vireo Vireo bellii pusillus FE, CE Nearby
Loggerhead shrike Lanius ludovicianus SSC2 Very close
Oak titmouse Baeolophus inornatus BCC Very close
California horned lark Eremophila alpestris actia WL Very close
Bank swallow Riparia riparia CT Nearby
Purple martin Progne subis SSC2 Nearby
Wrentit Chamaea fasciata BCC Very close
California gnatcatcher Polioptila c. californica FT, SSC2 In region
California thrasher Toxostoma redivivum BCC Very close
Cassin’s finch Haemorhous cassinii BCC Very close
Lawrence’s goldfinch Spinus lawrencei BCC Very close
Grasshopper sparrow Ammodramus savannarum SSC2 Nearby
Black-chinned sparrow Spizella atrogularis BCC Nearby
Gray-headed junco Junco hyemalis caniceps WL Very close
Bell’s sparrow Amphispiza b. belli WL In region
Oregon vesper sparrow Pooecetes gramineus affinis SSC2 In range
Southern California rufous-
crowned sparrow
Aimophila ruficeps canescens WL Very close
16
Common name
Species name
Status1
Data base
records,
Site visits
Yellow-breasted chat Icteria virens SSC3 Very close
Yellow-headed blackbird X. xanthocephalus SSC3 Very close
Bullock’s oriole Icterus bullockii BCC Very close
Tricolored blackbird Agelaius tricolor CT, BCC, SSC1 Very close
Lucy’s warbler Leiothlypis luciae SSC3 Nearby
Virginia’s warbler Leiothlypis virginiae WL, BCC Very close
Prothonotary warbler Protonotaria citrea BCC In region
Prairie warbler Setophaga discolor BCC In region
Yellow warbler Setophaga petechia SSC2 Very close
Summer tanager Piranga rubra SSC1 Very close
Little brown bat Myotis lucifugus WBWG:M In region
Yuma myotis Myotis yumanensis WBWG:LM In region
Long-eared myotis Myotis evotis WBWG:M In region
Fringed myotis Myotis thysanodes WBWG:H In range
Long-legged myotis Myotis volans WBWG:H In range
Small-footed myotis Myotis ciliolabrum WBWG:M In range
Canyon bat Parastrellus hesperus WBWG:M Nearby
Silver-haired bat Lasionycteris noctivagans WBWG:M In region
Hoary bat Lasiurus cinereus WBWG:M In region
Western red bat Lasiurus blossevillii SSC, WBWG:H In region
Western yellow bat Lasiurus xanthinus SSC, WBWG:H In range
Spotted bat Euderma maculatum SSC, WBWG:H In range
Townsend’s big-eared bat Corynorhinus townsendii SSC, WBWG:H In range
Pallid bat Antrozous pallidus SSC, WBWG:H In range
Western mastiff bat Eumops perotis SSC, WBWG:H In region
Los Angeles pocket mouse Perognathus longimembris
brevinasus
SSC In range
Southern grasshopper mouse Onychomys torridus ramona SSC In range
1 Listed as FT or FE = federal threatened or endangered, FC = federal candidate for listing, BCC = U.S.
Fish and Wildlife Service Bird of Conservation Concern, CT or CE = California threatened or
endangered, CCT or CCE = Candidate California threatened or endangered, CFP = California Fully
Protected (California Fish and Game Code 3511), SSC = California Species of Special Concern (not
threatened with extinction, but rare, very restricted in range, declining throughout range, peripheral
portion of species' range, associated with habitat that is declining in extent), SSC1, SSC2 and SSC3 =
California Bird Species of Special Concern priorities 1, 2 and 3, respectively (Shuford and Gardali
2008), WL = Taxa to Watch List (Shuford and Gardali 2008), and BOP = Birds of Prey (CFG Code
3503.5), and WBWG = Western Bat Working Group with priority rankings, of low (L), moderate (M),
and high (H).
Because the project would consist of a mid-rise building with many windows, avian use
of the local aerosphere should be of principal concern. Of the available records of
tracked birds, 2,585 birds of 117 species have been recorded flying into the Los Angeles
Metropolitan area from 18 countries of the Americas, from as far away as Argentina,
17
Bahamas, and Canada (https://explorer.audubon.org/explore/locations/
MYSwLgngvAMg9gZwAQEEB2BzApgGywgbgCcsMQ40oBhFA4OAVzTCOgFUBlWnAQ
zCgDMAFgB0ABgCsAiQHYCOClAC0ARhUAOEQCYhE3UA/connections?locationAddr
ess=Los+Angeles%2C+California&y=2403411.3245877805&x=2517121.9601057805&zo
om=7&legend=expand&layersPanel=expand). According to BirdCast, which detects
flying birds via radar, nearly 794,000 birds were in flight over Los Angeles County
during the night of 28 April 2024. I am unable to locate the major pathways of these
flights, but Terrill et al. (2021) found up to 13,500 birds per morning1 flying low through
Bear Divide. Headed to and from Bear Divide, these birds would have been similarly
channeled by terrain in and around the Los Angeles Metropolitan Area.
More than 11 million birds flew across Los Angeles County through the 2024 spring
migration by the time of this writing (https://dashboard.birdcast.info/region/US-CA-
037). Bird flights across Los Angeles averaged 107,539 flights per night in spring 2024.
Most of these flights ranged in height from 100 feet to 10,000 feet above ground. I am
unaware of the distribution of flight heights of birds crossing the City of Arcadia, but at a
nearby study site (Coachella Valley), McCrary et al. (1982) detected 12.9% of nocturnally
migrating birds below 100 m altitude, which corresponds with the heights of the
proposed building of either option. Assuming this percentage also applies to birds flying
across the aerosphere overlying the Los Angeles Metropolitan Area including Arcadia,
then migratory flights documented by BirdCast would average 13,873 birds per night to
be flying in the dark and within the height domain of the proposed building. That 13,500
birds per night were documented flying through the Bear Divide during peak migration
likely attests to considerable uncertainty in the BirdCast data. Such uncertainty should
be treated in a manner that is consistent with the precautionary principle in risk
assessment. The BirdCast data might be missing many of the migratory birds that fly
low due to ground clutter.2 Ground clutter in the Los Angeles Metropolitan Area comes
in the forms of buildings and trees. In summary, the basis exists for concern that a large
number of birds might routinely fly through the aerosphere that would be appropriated
by the proposed building. Potential collision impacts from this project are addressed
below, under the heading Bird-Window Collisions.
Hundreds of thousands of birds migrate along the Pacific Flyway, which includes the
Los Angeles Metropolitan Area. At least 77 special-status species of bird are known to
the project area (Table 2). According to the scientific literature, many of the special-
status species in Table 2 have been document ed as window collision fatalities and are
therefore susceptible to new structural glass installations (Supplemental Material to
Basilio et al. 2020; Smallwood unpublished review). Many more species of migratory
birds, protected by the federal Migratory Bird Treaty Act and by California’s Migratory
Bird Protection Act, have also been documented as window collision victims (Basilio et
al. 2020).
Surveys by qualified behavioral ecologists are needed to characterize bird flight activity
in the project area. A desktop review is also needed to identify the special-status species
1 Morning flights are regarded as continuation of nocturnal flights into daylight hours.
2 Ground clutter generates solid radar echoes that hide the echoes of individual birds.
18
of birds most at risk of encountering the building while flying through the area. The
analysis should provide guidance to the orientation and design of the building. Also, it
should provide guidance to mitigation measures.
Based on Noriko Smallwood’s brief survey of the site for vertebrate wildlife, and based
on my cursory desktop review for the potential of special-status species of wildlife to
occur at the site, there is at least a fair argument to be made for the need to prepare an
EIR to accurately characterize the wildlife community of the project site.
BIOLOGICAL IMPACTS ASSESSMENT
Accurate characterization of the existing environmental setting is an essential
foundation for analysis of potential project impacts, but the IS/MND provides no
foundation for an impacts analysis. An impacts analysis should consider whether and
how the proposed project would affect members of each potentially occurring special-
status species and of each species of bird likely to attempt to fly through the airspace of
the project. In the following, I analyze impacts likely to result from the project but which
are not addressed in the IS/MND.
INTERFERENCE WITH WILDLIFE MOVEMENT
One of CEQA’s principal concerns regarding potential project impacts is whether a
proposed project would interfere with wildlife movement in the region. Unfortunately,
the IS/MND includes no analysis of whether the project would interfere with wildlife
movement in the region. The project would insert a midrise building into the airspace
that has been used by birds on migration, dispersal, home range patrol and foraging
over millions of years. This building would obviously interfere with wildlife movement
in the region. Noriko Smallwood observed and photographed birds flying through the
airspace of the project site. A fair argument can be made for the need to prepare an EIR
to appropriately analyze the project’s potential impacts to volant wildlife and how those
impacts to movement can be mitigated.
BIRD-WINDOW COLLISIONS
The project would add a 5-story mixed-use building, which would expose the birds of
Arcadia to many windows composing the building’s facades. Window collisions are often
characterized as either the second or third largest source or human-caused bird
mortality. The numbers behind these characterizations are often attributed to Klem’s
(1990) and Dunn’s (1993) estimates of about 100 million to 1 billion bird fatalities in the
USA, or more recently by Loss et al.’s (2014) estimate of 365-988 million bird fatalities
in the USA or Calvert et al.’s (2013) and Machtans et al.’s (2013) estimates of 22.4
million and 25 million bird fatalities in Canada, respectively. The proposed project
would impose windows in the airspace normally used by birds.
Glass-façades of buildings intercept and kill many birds, but these façades are
differentially hazardous to birds based on spatial extent, contiguity, orientation, and
other factors. At Washington State University, Johnson and Hudson (1976) found 266
19
bird fatalities of 41 species within 73 months of monitoring of a three-story glass
walkway (no fatality adjustments attempted). Prior to marking the windows to warn
birds of the collision hazard, the collision rate was 84.7 per year. At that rate, and not
attempting to adjust the fatality estimate for the proportion of fatalities not found, 4,574
birds were likely killed over the 54 years since the start of their study, and that’s at a
relatively small building façade. Accounting for the proportion of fatalities not found,
the number of birds killed by this walkway over the last 54 years would have been about
14,270. And this is just for one 3-story, glass-sided walkway between two college campus
buildings.
Klem’s (1990) estimate was based on speculation that 1 to 10 birds are killed per
building per year, and this speculated range was extended to the number of buildings
estimated by the US Census Bureau in 1986. Klem’s speculation was supported by
fatality monitoring at only two houses, one in Illinois and the other in New York. Also,
the basis of his fatality rate extension has changed greatly since 1986. Whereas his
estimate served the need to alert the public of the possible magnitude of the bird-
window collision issue, it was highly uncertain at the time and undoubtedly outdated
more than three decades hence. Indeed, by 2010 Klem (2010) characterized the upper
end of his estimated range – 1 billion bird fatalities – as conservative. Furthermore, the
estimate lumped species together as if all birds are the same and the loss of all birds to
windows has the same level of impact.
By the time Loss et al. (2014) performed their effort to estimate annual USA bird-
window fatalities, many more fatality monitoring studies had been reported or were
underway. Loss et al. (2014) incorporated many more fatality rates based on scientific
monitoring, and they were more careful about which fatality rates to include. However,
they included estimates based on fatality monitoring by homeowners, which in one
study were found to detect only 38% of the available window fatalities (Bracey et al.
2016). Loss et al. (2014) excluded all fatality records lacking a dead bird in hand, such as
injured birds or feather or blood spots on windows. Loss et al.’s (2014) fatality metric
was the number of fatalities per building (where in this context a building can include a
house, low-rise, or high-rise structure), but they assumed that this metric was based on
window collisions. Because most of the bird-window collision studies were limited to
migration seasons, Loss et al. (2014) developed an admittedly assumption-laden
correction factor for making annual estimates. Also, only 2 of the studies included
adjustments for carcass persistence and searcher detection error, and it was unclear how
and to what degree fatality rates were adjusted for these factors. Although Loss et al.
(2014) attempted to account for some biases as well as for large sources of uncertainty
mostly resulting from an opportunistic rather than systematic sampling data source,
their estimated annual fatality rate across the USA was highly uncertain and vulnerable
to multiple biases, most of which would have resulted in fatality estimates biased low.
In my review of bird-window collision monitoring, I found that the search radius
around homes and buildings was very narrow, usually 2 meters. Based on my experience
with bird collisions in other contexts, I would expect that a large portion of bird-window
collision victims would end up farther than 2 m from the windows, especially when the
windows are higher up on tall buildings. In my experience, searcher detection rates tend
20
to be low for small birds deposited on ground with vegetation cover or woodchips or
other types of organic matter. Also, vertebrate scavengers entrain on anthropogenic
sources of mortality and quickly remove many of the carcasses, thereby preventing the
fatality searcher from detecting these fatalities. Adjusting fatality rates for these factors
– search radius bias, searcher detection error, and carcass persistence rates – would
greatly increase nationwide estimates of bird-window collision fatalities.
Buildings can intercept many nocturnal migrants (Van Doren et al. 2021) as well as
birds flying in daylight. As mentioned above, Johnson and Hudson (1976) found 266
bird fatalities of 41 species within 73 months of monitoring of a four-story glass walkway
at Washington State University (no adjustments attempted for undetected fatalities).
Somerlot (2003) found 21 bird fatalities among 13 buildings on a university campus
within only 61 days. Monitoring twice per week, Hager at al. (2008) found 215 bird
fatalities of 48 species, or 55 birds/building/year, and at another site they found 142
bird fatalities of 37 species for 24 birds/building/year. Gelb and Delacretaz (2009)
recorded 5,400 bird fatalities under buildings in New York City, based on a decade of
monitoring only during migration periods, and some of the high-rises were associated
with hundreds of fatalities each. Klem et al. (2009) monitored 73 building façades in
New York City during 114 days of two migratory periods, tallying 549 collision victims,
nearly 5 birds per day. Borden et al. (2010) surveyed a 1.8 km route 3 times per week
during 12-month period and found 271 bird fatalities of 50 species. Parkins et al. (2015)
found 35 bird fatalities of 16 species within only 45 days of monitoring under 4 building
façades. From 24 days of survey over a 48-day span, Porter and Huang (2015) found 47
fatalities under 8 buildings on a university campus. Sabo et al. (2016) found 27 bird
fatalities over 61 days of searches under 31 windows. In San Francisco, Kahle et al.
(2016) found 355 collision victims within 1,762 days under a 5-story building. Ocampo-
Peñuela et al. (2016) searched the perimeters of 6 buildings on a university campus,
finding 86 fatalities after 63 days of surveys. One of these buildings produced 61 of the
86 fatalities, and another building with collision-deterrent glass caused only 2 of the
fatalities, thereby indicating a wide range in impacts likely influenced by various factors.
There is ample evidence available to support my prediction that the proposed project
would result in many collision fatalities of birds.
Project Impact Prediction
By the time of these comments, I had reviewed and processed results of bird collision
monitoring at 213 buildings and façades for which bird collisions per m 2 of glass per
year could be calculated and averaged (Johnson and Hudson 1976, O’Connell 2001,
Somerlot 2003, Hager et al. 2008, Borden et al. 2010, Hager et al. 2013, Porter and
Huang 2015, Parkins et al. 2015, Kahle et al. 2016, Ocampo-Peñuela et al. 2016, Sabo et
al. 2016, Barton et al. 2017, Gomez-Moreno et al. 2018, Schneider et al. 2018, Loss et al.
2019, Brown et al. 2020, City of Portland Bureau of Environmental Services and
Portland Audubon 2020, Riding et al. 2020). These study results averaged 0.073 bird
deaths per m2 of glass per year (95% CI: 0.042-0.102). This average and its 95%
confidence interval provide a robust basis for predicting fatality rates at a proposed new
project.
21
The IS/MND does not disclose the extent of glass windows on the proposed new
building. I therefore measured the extents of windows depicted in the IS/MND’s
schematics of the building, though in doing so I omitted measurement of the glass
railings. I adjusted my measured extent of exterior glass for the exterior glass that was
either not visible or only obliquely visible on façades of interior spaces such as around
the courtyard and within projections of the building My adjustment was 50%, which was
conservative. With this adjustment, I estimate the project would include 2,966 m2 of
exterior glass windows. Applying the mean fatality rate (above) to my estimates of glass
in either project, I predict annual bird deaths of 217 (95% CI: 129305).
The vast majority of bird-window collision deaths would be of birds protected under the
federal Migratory Bird Treaty Act and California’s Migratory Bird Protection Act, thus
causing significant unmitigated impacts. Given the predicted level of bird-window
collision mortality, and the lack of any proposed mitigation, it is my opinion that the
proposed project would result in potentially significant adverse biological impacts.
At least a fair argument can be made for the need to prepare an EIR to appropriately
analyze the potential impacts of bird-window collisions that might be caused by the
project.
TRAFFIC IMPACTS TO WILDLIFE
The IS/MND neglects to address one of the project’s most obvious, substantial impacts
to wildlife, and that is wildlife mortality and injuries caused by project-generated traffic.
Project-generated traffic would endanger wildlife that must, for various reasons, cross
roads used by the project’s traffic (Photos 22ȸ25), including along roads far from the
project footprint but which would nevertheless by traversed by automobiles head to or
from the project’s building. Vehicle collisions have accounted for the deaths of many
thousands of amphibian, reptile, mammal, bird, and arthropod fauna, and the impacts
have often been found to be significant at the population level (Forman et al. 2003).
Across North America traffic impacts have taken devastating tolls on wildlife (Forman et
al. 2003). In Canada, 3,562 birds were estimated killed per 100 km of road per year
(Bishop and Brogan 2013), and the US estimate of avian mortality on roads is 2,200 to
8,405 deaths per 100 km per year, or 89 million to 340 million total per year (Loss et al.
2014). Local impacts can be more intense than nationally.
22
Photo 22. A white-tailed
antelope squirrel runs across the
road just in the Coachella Valley,
26 May 2022. Such road
crossings are usually successful,
but too often prove fatal to the
animal.
Photo 23. A coyote uses the
crosswalk to cross a road on 2
February 2023. Not all drivers
stop, nor do all animals use the
crosswalk. Too often, animals
are injured or killed when they
attempt to cross roads.
Photos 24 and 25. Raccoon killed on Road 31 just east of Highway 505 in Solano
County (left; photo taken on 10 November 2018), and mourning dove killed by vehicle
on a California road (right; photo by Noriko Smallwood, 21 June 2020.)
The nearest study of traffic-caused wildlife mortality was performed along a 2.5-mile
stretch of Vasco Road in Contra Costa County, California. Fatality searches in this study
23
found 1,275 carcasses of 49 species of mammals, birds, amphibians and reptiles over 15
months of searches (Mendelsohn et al. 2009). This fatality number needs to be adjusted
for the proportion of fatalities that were not found due to scavenger removal and
searcher error. This adjustment is typically made by placing carcasses for searchers to
find (or not find) during their routine periodic fatality searches. This step was not taken
at Vasco Road (Mendelsohn et al. 2009), but it was taken as part of another study next
to Vasco Road (Brown et al. 2016). Brown et al.’s (2016) adjustment factors for carcass
persistence resembled those of Santos et al. (2011). Also applying searcher detection
rates from Brown et al. (2016), the adjusted total number of fatalities was estimated at
9,462 animals killed by traffic on the road. This fatality number projected over 1.25
years and 2.5 miles of road translates to 3,028 wild animals per mile per year. In terms
comparable to the national estimates, the estimates from the Mendelsohn et al. (2009)
study would translate to 188,191 animals killed per 100 km of road per year, or 22 times
that of Loss et al.’s (2014) upper bound estimate and 53 times the Canadian estimate.
An analysis is needed of whether increased traffic generated by the project site would
similarly result in local impacts on wildlife.
For wildlife vulnerable to front-end collisions and crushing under tires, road mortality
can be predicted from the study of Mendelsohn et al. (2009) as a basis, although it
would be helpful to have the availability of more studies like that of Mendelsohn et al.
(2009) at additional locations. My analysis of the Mendelsohn et al. (2009) data
resulted in an estimated 3,028 animals killed per mile along a county road in Contra
Costa County. The estimated numbers of fatalities were 1.75% birds, 26.4% mammals
(many mice and pocket mice, but also ground squirrels, desert cottontails, striped
skunks, American badgers, raccoons, and others), 67.4% amphibians (large numbers of
California tiger salamanders and California red-legged frogs, but also Sierran treefrogs,
western toads, arboreal salamanders, slender salamanders and others), and 4.4%
reptiles (many western fence lizards, but al so skinks, alligator lizards, and snakes of
various species). VMT is useful for predicting wildlife mortality because I was able to
quantify miles traveled along the studied reach of Vasco Road during the time period of
the Mendelsohn et al. (2009) study, hence enabling a rate of fatalities per VMT that can
be projected to other sites, assuming similar collision fatality rates.
Predicting project-generated traffic impacts to wildlife
The IS/MND predicts 1,302,015 annual VMT. During the Mendelsohn et al. (2009)
study, 19,500 cars traveled Vasco Road daily, so the vehicle miles that contributed to my
estimate of non-volant fatalities was 19,500 cars and trucks × 2.5 miles × 365 days/year
× 1.25 years = 22,242,187.5 vehicle miles per 9,462 wildlife fatalities, or 2,351 vehicle
miles per fatality. This rate divided into the predicted annual VMT would predict 554
vertebrate wildlife fatalities per year due to project-generated traffic. However,
compared to the study area of Mendelsohn et al. (2009), fewer animals would be killed
in the urbanized part of Arcadia that surrounds the project site, so an adjustment is
warranted. Assuming that the number of wild animals encountered by project-generated
traffic would be only 30% of the number of animals encountered by traffic in the
Mendelsohn et al. (2009) study, the annual death toll to wildlife resulting from project-
generated traffic would be 166. Even this assumed lower mortality would qualify as a
24
significant impact, and based on my review of the available documents, it would not be
mitigated.
Based on my analysis, the project-generated traffic would cause substantial, significant
impacts to wildlife. The IS/MND does not address this potential impact, let alone
propose to mitigate it. Mitigation measures to improve wildlife safety along roads are
available and are feasible, and they need exploration for their suitability with the
proposed project. Given the predicted level of project-generated traffic-caused
mortality, and the lack of any proposed mitigation, it is my opinion that the proposed
project would result in potentially significant adverse biological impacts.
At least a fair argument can be made for the need to prepare an EIR to appropriately
analyze the impact of wildlife-automobile collisions resulting from project-generated
traffic.
CUMULATIVE IMPACTS
The IS’MND’s analysis of potential project contributions to cumulative impacts is
flawed. According to the IS/MND (p. 3-114), “All reasonably foreseeable future
development in the City would be subject to the same land use and environmental
regulations that have been described throughout this document. … all development
projects are guided by the policies identified in the City’s General Plan and by the
regulations established in the Development Code and AMC. Therefore, compliance with
applicable land use and environmental regulations and implementation of the
mitigation program would ensure that environmental effects associated with the
proposed Project would not combine with effects from reasonably foreseeable future
development in the City to cause cumulatively considerable significant impacts.”
However, according to the CEQA Guidelines §15064(h)(3), “a project’s incremental
contribution to a cumulative impact can be found not cumulatively considerable if the
project would comply with an approved plan or mitigation program that provides
specific requirements that would avoid or substantially lessen the cumulative problem
within the geographic area of the project.” The IS/MND cites no specific requirements
that would substantially lessen cumulative impacts to wildlife in the area. The CEQA
Guidelines §15064(h)(3) futher state, “When relying on a plan, regulation or program,
the lead agency should explain how implementing the particular requirements in the
plan, regulation or program ensure that the project’s incremental contribution to the
cumulative effect is not cumulatively considerable.” The IS/MND provides no
explanation of how implementing particular requirements of the City’s General Plan
would minimize, avoid or offset the project’s contributions to cumulative impacts to
wildlife.
To measure the impacts of habitat loss and cumulative impacts to wildlife caused by
development projects that had to comply with existing policies and regulations, Noriko
Smallwood and I measured the impacts of habitat loss to wildlife caused by mitigated
development projects. We revisited 80 sites of proposed projects that we had originally
surveyed in support of comments on CEQA review documents (Smallwood and
Smallwood 2023). We revisited the sites to repeat the survey methods at the same time
25
of year, the same start time in the day, and the same methods and survey duration in
order to measure the effects of mitigated development on wildlife. We structured the
experiment in a before-after, control-impact experimental design, as some of the sites
had been developed since our initial survey and some had remained undeveloped. We
found that mitigated development resulted in a 66% loss of species on site, and 48% loss
of species in the project area. Counts of vertebrate animals declined 90%. “Development
impacts measured by the mean number of species detected per survey were greatest for
amphibians (-100%), followed by mammals (-86%), grassland birds (-75%), raptors
(-53%), special-status species (-49%), all birds as a group (-48%), non-native birds
(-44%), and synanthropic birds (-28%). Our results indicated that urban development
substantially reduced vertebrate species richness and numerical abundance, even after
richness and abundance had likely already been depleted by the cumulative effects of
loss, fragmentation, and degradation of habitat in the urbanizing environment,” and
despite all the mitigation measures per existing policies and regulations. We also
specifically tested for the effects of projects to wildlife in neighboring habitats, and
found significant decreases in species richness and overall abundance in those areas as
well.
The project would insert a glass-covered midrise building into the airspace that has been
used by volant wildlife for millions of years to travel across the Los Angeles Basin. The
project would further fragment aerial habitat of volant wildlife, and this would
contribute cumulatively to other similar impacts caused by other midrise and high-rise
buildings in the area. The project would also cause a predicted 217 (95% CI: 129305)
bird-window collision fatalities. Additionally, the project would generate a predicted
annual VMT of 1,302,015, which would contribute 166 to 554 wildlife-automobile
collision fatalities to the cumulative annual mortality already underway in Arcadia and
the Los Angeles Metropolitan Area. A cumulative impacts analysis needs to be
completed.
MITIGATION MEASURES
The IS/MND summarizes three measures to mitigate potential project impacts to
wildlife, but these measures are incomplete and inadequate. Below my comments on
these measures are my recommendations for mitigation that should be considered in an
EIR.
RR BIO-1: If vegetation clearing occurs during the peak nesting season (between
February 1 and August 31), a pre-construction survey shall be conducted by a qualified
biologist to identify if there are any active nesting locations. ... If the biologist finds an
active nest within the construction area and determines that the nest may be impacted
by construction activities, the biologist will delineate an appropriate buffer zone
around the nest depending on the species and the type of construction activity.
Construction activities shall be prohibited in the buffer zone until a qualified biologist
determines the nest is abandoned.
Whereas a preconstruction nesting bird survey should be completed, it needs to be
understood that a preconstruction survey unlikely to achieve much of any conservation
26
benefit to birds, and the IS/MND – like all other CEQA review documents I have read –
cites no evidence of efficacy. Preconstruction, take-avoidance surveys consist of two
steps, both of which are very difficult. First, the biologist(s) performing the survey must
identify birds that are breeding. Second, the biologist(s) must locate the breeding birds’
nests. The first step is typically completed by observing bird behaviors such as food
deliveries and nest territory defense. These types of observations typically require many
surveys on many dates spread throughout the breeding season, whereas preconstruction
surveys take place only once and not necessarily at the optimal time for detecting
nesting by birds. The biologists conducting the preconstruction survey would be very
lucky to find any of the bird nests that are available to be found at the time of the survey.
One reason why preconstruction surveys achieve very little is because species of bird
vary in their nest phenology within what is generally understand as the avian breeding
season. Whereas, as examples (and not suggesting these particular species occur at the
project site), killdeer begin nesting in mid-March, western meadowlarks begin in late
April, burrowing owls usually begin in May, and American goldfinches do not nest until
July-August. Whenever the preconstruction survey is conducted, the biologists
conducting the survey would be searching only for the nests of the birds that happen to
be breeding at the time, and would miss the nests begun between the survey and the
start of construction. On the project site, this task would be further complicated by the
size of the site, by its terrain, and by its diversity of vegetation communities.
Another reason why preconstruction surveys achieve very little is because the nests they
might salvage are only the nests of the year. Preconstruction surveys can do nothing to
mitigate the loss of productive capacity that ensues construction. All subsequent years of
productivity would be destroyed by the project regardless of the success of a
preconstruction survey.
Lastly, the mitigation language allows a single individual to make a subjective decision,
outside the public’s view, to determine the buffer area for any given species. This
measure lacks objective criteria, and it is therefore unenforceable.
RR BIO-2: …the Project Applicant/Property Owner shall obtain permits from the
Arcadia Public Works Services Department for the removal and planting of Protected
trees and street trees in the public right-of-way associated with the Project. …
The obtaining of a necessary permit is not a legitimate mitigation measure, as it does not
necessarily avoid, minimize, rectify, reduce, or compensate for impacts.
RR BIO-3: The Project Applicant/Property Owner shall submit the Project’s
landscape plans, which will include the proposed locations and species of replacement
street trees, to the Arcadia Public Works Services Department for review. Street tree
species will consist of those set forth in the City’s Street Tree Master Plan.
This measure defers its own formulation to an unspecified later date that arrives after
the public has had the opportunity to participate with the environmental review of the
27
project. It fails to suggest that any of the landscaping would be intended to benefit
wildlife.
RECOMMENDED MEASURES
Guidelines on Building Design to Minimize Bird-Window Collisions: If the
project goes forward, it should at a minimum adhere to available Bird-Safe Guidelines,
such as those prepared by American Bird Conservancy and New York and San
Francisco. The American Bird Conservancy (ABC) produced an excellent set of
guidelines recommending actions to: (1) Minimize use of glass; (2) Placing glass behind
some type of screening (grilles, shutters, exterior shades); (3) Using glass with inherent
properties to reduce collisions, such as patterns, window films, decals or tape; and (4)
Turning off lights during migration seasons (Sheppard and Phillips 2015). The City of
San Francisco (San Francisco Planning Department 2011) also has a set of building
design guidelines, based on the excellent guidelines produced by the New York City
Audubon Society (Orff et al. 2007). The ABC document and both the New York and San
Francisco documents provide excellent alerting of potential bird-collision hazards as
well as many visual examples. The San Francisco Planning Department’s (2011) building
design guidelines are more comprehensive than those of New York City, but they could
have gone further. For example, the San Francisco guidelines probably should have also
covered scientific monitoring of impacts as well as compensatory mitigation for impacts
that could not be avoided, minimized or reduced.
New research results inform of the efficacy of marking windows. Whereas Klem (1990)
found no deterrent effect from decals on windows, Johnson and Hudson (1976) reported
a fatality reduction of about 69% after placing decals on windows. In an experiment of
opportunity, Ocampo-Peñuela et al. (2016) found only 2 of 86 fatalities at one of 6
buildings – the only building with windows treated with a bird deterrent film. At the
building with fritted glass, bird collisions were 82% lower than at other buildings with
untreated windows. Kahle et al. (2016) added external window shades to some
windowed façades to reduce fatalities 82% and 95%. Brown et al. (2020) reported an
84% lower collision probability among fritted glass windows and windows treated with
ORNILUX R UV. City of Portland Bureau of Environmental Services and Portland
Audubon (2020) reduced bird collision fatalities 94% by affixing marked Solyx window
film to existing glass panels of Portland’s Columbia Building. Many external and
internal glass markers have been tested experimentally, some showing no effect and
some showing strong deterrent effects (Klem 1989, 1990, 2009, 2011; Klem and Saenger
2013; Rössler et al. 2015).
Van Doren et al. (2021) found that nocturnal migrants contributed most of the collision
fatalities in their study, and the largest predictors of fatalities were peak migration and
lit windows. Van Doren et al. (2021) predicted that a light-out mitigation measure could
reduce bird-window collision mortality by 60%.
Monitoring and the use of compensatory mitigation should be incorporated at any new
building project because the measures recommended in the available guidelines remain
of uncertain efficacy, and even if these measures are effective, they will not reduce
28
collision fatalities to zero. The only way to assess mitigation efficacy and to quantify
post-construction fatalities is to monitor the project for fatalities.
The City of Arcadia should also follow the examples of other major cities and formulate
its own mitigation guidelines for analysis of potential impacts and for mitigating those
impacts.
Road Mortality: Compensatory mitigation is needed for the increased wildlife
mortality that would be caused by bird-window collisions and the project-generated
road traffic in the region. I suggest that this mitigation can be directed toward funding
research to identify fatality patterns and effective impact reduction measures such as
reduced speed limits and wildlife under-crossings or overcrossings of particularly
dangerous road segments. Compensatory mitigation can also be provided in the form of
donations to wildlife rehabilitation facilities (see below).
Fund Wildlife Rehabilitation Facilities: Compensatory mitigation ought to
include funding contributions to wildlife rehabilitation facilities to cover the costs of
injured animals that will be delivered to these facilities for care. Many animals would
likely be injured by collisions with the building’s windows and with automobiles
traveling to and from the building.
Landscaping: If the project goes forward, California native plant landscaping (i.e.,
grassland and locally appropriate scrub plants) should be considered to be used as
opposed to landscaping with lawn and exotic shrubs and trees. Native plants offer more
structure, cover, food resources, and nesting substrate for wildlife than landscaping with
lawn and ornamental trees. Native plant landscaping has been shown to increase the
abundance of arthropods which act as importance sources of food for wildlife and are
crucial for pollination and plant reproduction (Narango et al. 2017, Adams et al. 2020,
Smallwood and Wood 2022.). Further, many endangered and threated insects require
native host plants for reproduction and migration, e.g., monarch butterfly. Around the
world, landscaping with native plants over exotic plants increases the abundance and
diversity of birds, and is particularly valuable to native birds (Lerman and Warren 2011,
Burghardt et al. 2008, Berthon et al. 2021, Smallwood and Wood 2022). Landscaping
with native plants is a way to maintain or to bring back some of the natural habitat and
lessen the footprint of urbanization by acting as interconnected patches of habitat for
wildlife (Goddard et al. 2009, Tallamy 2020). Lastly, not only does native plant
landscaping benefit wildlife, it requires less water and maintenance than traditional
landscaping with lawn and hedges.
Thank you for your consideration,
______________________
Shawn Smallwood, Ph.D.
29
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Klem, D., Jr. 2010. Avian mortality at windows: the second largest human source of
bird mortality on earth. Pages 244-251 in Proc. Fourth Int. Partners in Flight
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prevent bird-glass collisions. Unpublished report.
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Klem, D., Jr. and P. G. Saenger. 2013. Evaluating the effectiveness of select visual
signals to prevent bird-window collisions. The Wilson Journal of Ornithology
125:406–411.
Klem, D. Jr., C. J. Farmer, N. Delacretaz, Y. Gelb and P. G. Saenger. 2009.
Architectural and Landscape Risk Factors Associated with Bird-Glass Collisions in
an Urban Environment. Wilson Journal of Ornithology 121:126-134.
Kunz, T. H., S. A. Gauthreaux Jr., N. I. Hristov, J. W. Horn, G. Jones, E. K. V. Kalko, R.
P. Larkin, G. F. McCracken, S. M. Swartz, R. B. Srygley, R. Dudley, J. K. Westbrook,
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Loss, S. R., T. Will, and P. P. Marra. 2014. Estimation of bird-vehicle collision mortality
on U.S. roads. Journal of Wildlife Management 78:763-771.
Loss, S. R., S. Lao, J. W. Eckles, A. W. Anderson, R. B. Blair, and R. J. Turner. 2019.
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Machtans, C. S., C. H. R. Wedeles, and E. M. Bayne. 2013. A first estimate for Canada of
the number of birds killed by colliding with building windows. Avian Conservation
and Ecology 8(2):6. http://dx.doi.org/10.5751/ACE-00568-080206
McCrary, M. D., R. L. McKernan, R. E. Landry, W. D. Wagner, and R. W. Schreiber.
1982. Nocturnal avian migration assessment of the San Gorgonio Wind Resource
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Rosemead, CA.
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movement study report. Report to Contra Costa County Public Works Department,
Martinez, California.
Ocampo-Peñuela, N., R. S. Winton, C. J. Wu, E. Zambello, T. W. Wittig and N. L. Cagle .
2016. Patterns of bird-window collisions inform mitigation on a university campus.
PeerJ4:e1652;DOI10.7717/peerj.1652
O’Connell, T. J. 2001. Avian window strike mortality at a suburban office park. The
Raven 72:141-149.
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Orff, K., H. Brown, S. Caputo, E. J. McAdams, M. Fowle, G. Phillips, C. DeWitt, and Y.
Gelb. 2007. Bird-safe buildings guidelines. New York City Audubon, New York.
Parkins, K. L., S. B. Elbin, and E. Barnes. 2015. Light, glass, and bird–building collisions
in an urban park. Northeastern Naturalist 22:84-94.
Porter, A., and A. Huang. 2015. Bird collisions with glass: UBC pilot project to assess
bird collision rates in Western North America. UBC Social Ecological Economic
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bird–window collisions in a small urban area. The Condor: Ornithological
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Bird Conservancy, The Plains, Virginia.
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ranked assessment of species, subspecies, and distinct populations of birds of
immediate conservation concern in California. Studies of Western Birds 1. Western
Field Ornithologists, Camarillo, California.
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Predicting species occurrences: Issues of scale and accuracy, J. M. Scott, P. J.
Heglund, M. Morrison, M. Raphael, J. Haufler, and B. Wall, editors. Island Press,
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Academy of Sciences 118 (24). e2101666118
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SUBJECT: Arcadia Town Center Project
City of Arcadia, CA
Review and Comment on Noise Study
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Arcadia Town Center Project
Initial Study / Mitigated Negative Declaration, November 2024 (IS / MND)
Appendix G Noise Calculations (Appendix G)
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WILSON IHRIG
Arcadia Town Center Project
Review and Comment on Noise Report
Page 2
Adverse Effects of Noise1
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1 More information on these and other adverse effects of noise may be found in Guidelines for Community Noise ,
eds B Berglund, T Lindvall, and D Schwela, World Health Organization, Geneva, Switzerland, 1999.
(https://www.who.int/docstore/peh/noise/Comnoise-1.pdf)
WILSON IHRIG
Arcadia Town Center Project
Review and Comment on Noise Report
Page 3
Baseline Noise is Not Properly Established
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The Project must conduct properly documented ambient measurements near sensitive
receptors that capture the current baseline conditions during quiet period of the day and
night to determine the impact of construction and operational noise.
Figure 1 Project Site and Noise Sensitive Receivers
Potentially Significant Construction Noise Impacts
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Park /Memorial
WILSON IHRIG
Arcadia Town Center Project
Review and Comment on Noise Report
Page 4
Table 1 Estimated Construction Noise Levels
Construction Phase
Noise Levels (Leq, dBA)
95 feet –
Arcadia County
Park1
10 feet –
Elk Lodge1
280 feet –
Santa Anita
Residences 2
410 feet –
Santa Clara
Residences 2
Ground Cleaning /
Demolition ͺ98 6965
Excavation ͵93 6460
Foundation Construction ʹ92 6359
Building Construction ͻ89 6056
Paving and Site Cleanup ͻ89 6056
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2
https://library.municode.com/ca/arcadia/codes/code_of_ordinances?nodeId=ARTIVPUWEMOPO_CH6NORE_PT1G
EPR_4610.3NOLI
WILSON IHRIG
Arcadia Town Center Project
Review and Comment on Noise Report
Page 5
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The Project must properly evaluate construction noise impacts, including the noise increase
over ambient levels at sensitive receptor locations. If the increase is significant the Project
must properly evaluate mitigation measures to reduce the impacts to less than significant.
Operational Analysis Incomplete
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Conclusion
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2656 29th Street, Suite 201
Santa Monica, CA 90405
Matt Hagemann, P.G, C.Hg.
(949) 887-9013
mhagemann@swape.com
Paul E. Rosenfeld, PhD
(310) 795-2335
prosenfeld@swape.com
December 18, 2024
Hayley Uno
Lozeau | Drury LLP
1939 Harrison Street, Suite 150
Oakland, CA 94618
Subject: Comments on the Arcadia Town Center Mixed Use Project (SCH No. 2024110749)
Dear Ms. Uno,
We have reviewed the November 2024 Initial Study/Mitigation Negative Declaration (“IS/MND”) for the
Arcadia Town Center Mixed Use Project (“Project”) located in the City of Arcadia (“City”). The Project
proposes to construct 440,938-square-feet (“SF”) of residential space, including 181 dwelling units and
378 parking spaces on the 2.27-acre site.
Our review concludes that the IS/MND fails to adequately evaluate the Project’s air quality, health risk,
and greenhouse gas (“GHG”) impacts. Emissions and health risk impacts associated with construction
and operation of the proposed Project may be underestimated and inadequately addressed. An
Environmental Impact Report (“EIR”) should be prepared to adequately assess and mitigate the
potential air quality, health risk, and GHG impacts that the project may have on the environment.
Air Quality
Failure to Provide Complete CalEEMod Output Files
Land use development projects under the California Environmental Quality Act (“CEQA”) typically
evaluate air quality impacts and calculate potential criteria air pollutant emissions using the California
Emissions Estimator Model (“CalEEMod”).1 CalEEMod uses default values tailored to site-specific details
such as land use type, meteorological data, lot size, project type, and typical equipment associated with
that type. If project-specific details are available, users can modify these defaults, but CEQA requires
substantial evidence to justify such changes. Once the inputs are finalized, the model calculates the
1 “CalEEMod User’s Guide.” California Air Pollution Control Officers Association (CAPCOA), May 2021, available at:
https://www.aqmd.gov/caleemod/user's-guide.
2
project's construction and operational emissions and generates "output files." These output files
disclose to the reader what parameters are used in calculating the Project’s air pollutant emissions and
demonstrate where default values are changed. Justifications are provided for the values selected.
Review of the Project’s CalEEMod output files in Appendix A of the IS/MND reveals that the “Arcadia
Town Center v2” includes land use inputs but omits all other qualitative outputs regarding the Project’s
construction-related and operational emission (pp. 38, 39).
Note: Only sections 1.2, 1.3, 2.1, and 2.2 are included for reader clarity.
Without access to specific emissions values, we are unable to verify the potential significance or
accuracy of the Project’s model. Furthermore, the “Arcadia Town Center v2” model does not include the
“User Changes to Default” table. (Appendix A, pp. 54)
Without access to the “User Changes to Default Data” table, we are unable to verify whether changes
were made to the model’s default values. CEQA requires public disclosure of environmental impacts to
3
ensure transparency with regards to potential environmental impacts of land use developments.2 An EIR
should be prepared to disclose the Project’s complete CalEEMod output files and adhere to CEQA’s
formal guidelines.
Diesel Particulate Matter Emissions Inadequately Evaluated
The IS/MND determines that the Project would result in a negligible health risk impact without
conducting a construction health risk analysis (“HRA”). CEQA requires all proposed projects to connect
their emissions with potential adverse impacts on human health caused by those emissions.3 As the
IS/MND does not establish a connection between the Project’s construction-related diesel particulate
matter (“DPM”) emissions and potential health risks to nearby sensitive receptors, the Project violates
CEQA’s requirement. Additionally, the IS/MND does not compare the Project's excess cancer risk to the
South Coast Air Quality Management District’s (“SCAQMD”) threshold of 10 in one million.4
An assessment of the health risk posed to nearby existing receptors due to Project construction should
be conducted to comply with the most relevant guidance.
Screening-Level Analysis Demonstrates Potentially Significant Health Risk Impact
We conducted an HRA using AERSCREEN, a screening-level air quality dispersion model that estimates
maximum potential concentrations of air contaminants affecting nearby sensitive receptors.5 If
AERSCREEN indicates a potential air quality hazard, a detailed modeling analysis is required before
Project approval. 6
To conduct a preliminary, screening-level construction HRA, it is necessary to have an estimate of the
Project's annual particulate matter 10 ("PM10") exhaust emissions.7 However, as detailed in the section
of this letter titled Failure to Provide Complete CalEEMod Output Files, the Project's CalEEMod files
exclude the projected values for construction-related emissions. In the absence of this requisite
information, we created a model using the Project-specific details provided in the IS/MND and related
documents to estimate PM10 emissions.
2 “Environmental Review Guidelines.” San Diego County Air Pollution Control District, September 2024, available
at: https://www.sdapcd.org/content/dam/sdapcd/documents/grants/planning/ceqa/DRAFT-SDAPCD-CEQA-
Guidelines.pdf#:~:text=It%20is%20intended%20to%20require%20public%20disclosure,under%20what%20circumst
ances%20to%20approve%20such%20projects.&text=In%20accordance%20with%20Section%2015063%20of%20th
e,have%20a%20significant%20effect%20on%20the%20environment.
3 “Sierra Club v. County of Fresno.” Supreme Court of California, December 2018, available at:
https://ceqaportal.org/decisions/1907/Sierra%20Club%20v.%20County%20of%20Fresno.pdf.
4 “South Coast AQMD Air Quality Significance Thresholds.” SCAQMD, March 2023, available at:
https://www.aqmd.gov/docs/default-source/ceqa/handbook/south-coast-aqmd-air-quality-significance-
thresholds.pdf?sfvrsn=25.
5 “Air Quality Dispersion Modeling - Screening Models,” U.S. EPA, available at: https://www.epa.gov/scram/air-
quality-dispersion-modeling-screening-models.
6 “Guidelines for Exposure Assessment.” U.S. Environmental Protection Agency, 1992, available at:
https://cfpub.epa.gov/ncea/risk/recordisplay.cfm?deid=15263.
7 “Inhalable Particulate Matter and Health (PM2.5 and PM10).” CARB, available at:
https://ww2.arb.ca.gov/resources/inhalable-particulate-matter-and-health.
4
Our analysis included 173,760-SF of “Apartments Mid Rise,” 151,200-SF of “Enclosed Parking with
Elevator,” 4,000-SF of “Strip Mall,” 1-acre of “City Park,” 5,000-SF of “User Defined Commercial,” and
5,000-SF of “General Office Building,” consistent with the Project’s original model. Additionally, as the
Project’s construction duration was not properly justified or disclosed, we developed a proportionately
altered construction schedule to match the total construction duration of 29 months (IS/MND, p. 2-11).8
All other values were left as default.9
Following Office of Environmental Health Hazard Assessment’s (“OEHHA”) recommendations, we began
residential exposure at the third trimester of life. Our CalEEMod emissions indicate that construction will
produce approximately 380 pounds of diesel particulate matter (“DPM”) over the 730-day period. 10 The
AERSCREEN model simulates maximum concentrations from emission sources using an average emission
rate. We calculated this average DPM emission rate to account for variations in equipment usage and
truck trips during construction using the following equation:
Emission Rate ቀ grams
secondቁ = 380 lbs
730 days × 453.6 grams
lbs × 1 day
24 hours × 1 hour
3,600 seconds =. /ܛ
We estimated a construction emission rate of 0.00144 grams per second (“g/s”). Construction was
simulated as a 2.27-acre rectangular area source in AERSCREEN, with approximate dimensions of 136-
by 68-meters. A release height of 3 meters was selected to represent the height of stacks of heavy-duty
vehicles, and an initial vertical dimension of one and a half meters was used to simulate instantaneous
plume dispersion upon release. An urban meteorological setting was selected with model-default inputs
for wind speed and direction distribution. The population of the city of Arcadia was obtained from U.S.
2023 Census data.11
The AERSCREEN model generates maximum reasonable estimates of single-hour DPM concentrations
from the Project Site. U.S. Environmental Protection Agency (“U.S. EPA”) guidance suggests that in
screening procedures, the annualized average concentration of an air pollutant to be estimated by
multiplying the single-hour concentration by 10%.12 According to the AERSCREEN output files the
maximally exposed individual receptor would be located 75 meters from the Project site. However, the
IS/MD states that the nearest sensitive receptors are residences located approximately 280 feet, or 85
meters, from the Project site (p. 3-10). The single-hour concentration estimated by AERSCREEN for
Project construction is 2.670 ђg/m3 DPM at around 100 meters downwind.13 Multiplying this single-hour
8 See Attachment A for the proportionately altered construction phases’ calculations.
9 See Attachment B for SWAPE’s CalEEMod output files.
10 See Attachment C for health risk calculations.
11 “Arcadia” U.S. Census Bureau, 2023, available at: https://datacommons.org/place/geoId/0602462?q=arcadia.
12 “Screening Procedures for Estimating the Air Quality Impact of Stationary Sources Revised.” U.S. EPA, October
1992, available at: https://www.epa.gov/sites/default/files/2020-09/documents/epa-454r-92-019_ocr.pdf.
13 Note: AERSCREEN output files come in increments of 25 meters, so our emissions calculations are slightly
underestimated.
5
concentration by 10%, we get an annualized average concentration of 0.2670 ђg/m3 for Project
construction at the nearest sensitive receptor.14
The excess cancer risk to the nearest sensitive receptor was calculated using applicable HRA
methodologies as prescribed by OEHHA, in accordance with SCAQMD recommendation. 15 Guidance
from OEHHA and California Air Resources Board (“CARB”) suggests utilizing a standard point estimate
approach, with high-point estimate breathing rates and age sensitivity factors (“ASF”) to accurately
assess risk, especially for susceptible populations like children. The residential exposure parameters
considered in our screening-level HRA include daily breathing rates, exposure duration, ASFs, fraction of
time at home, and exposure frequency for different age groups (see table below).
Exposure Assumptions for Residential Individual Cancer Risk
Age Group
Breathing
Rate
(L/kg-day)16
Age
Sensitivity
Factor 17
Exposure
Duration
(years)
Fraction of
Time at
Home 18
Exposure
Frequency
(days/year)19
Exposure
Time
(hours/day)
3rd Trimester 361 10 0.25 1 350 24
Infant (0 – 2) 1090 10 2 1 350 24
Child (2 – 16) 572 3 14 1 350 24
Adult (16 –
30) 261 1 14 0.73 350 24
The procedure requires the incorporation of several discrete variates to effectively quantify dose per
age group for the inhalation pathway. Contaminate dose is then multiplied by the cancer potency factor
in units of inverse dose expressed in milligrams per kilogram per day (mg/kg/day-1) to derive the cancer
risk estimate. The following dose algorithm was used to assess exposure assumptions:
14 See Attachment D for AERSCREEN output files.
15 “Supplemental Guidelines for Preparing Risk Assessments for the Air Toxics ‘Hot Spots’ Information and
Assessment Act.” SCAQMD, October 2020, available at: http://www.aqmd.gov/docs/default-source/planning/risk-
assessment/ab-2588-supplemental-guidelines.pdf?sfvrsn=19, p. 19; see also “Risk Assessment Guidelines Guidance
Manual for Preparation of Health Risk Assessments.” OEHHA, February 2015, available at:
https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf.
16 “Supplemental Guidelines for Preparing Risk Assessments for the Air Toxics ‘Hot Spots’ Information and
Assessment Act.” SCAQMD, October 2020, available at: http://www.aqmd.gov/docs/default-source/planning/risk-
assessment/ab-2588-supplemental-guidelines.pdf?sfvrsn=19, p. 19; see also “Risk Assessment Guidelines Guidance
Manual for Preparation of Health Risk Assessments.” OEHHA, February 2015, available at:
https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf.
17 “Risk Assessment Guidelines Guidance Manual for Preparation of Health Risk Assessments.” OEHHA, February
2015, available at: https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf, p. 8-5 Table 8.3.
18 “Risk Assessment Procedures.” SCAQMD, August 2017, available at: http://www.aqmd.gov/docs/default-
source/rule-book/Proposed-Rules/1401/riskassessmentprocedures_2017_080717.pdf, p. 7.
19 “Risk Assessment Guidelines Guidance Manual for Preparation of Health Risk Assessments.” OEHHA, February
2015, available at: https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf, p. 5-24.
6
Dose୍ୖ,୮ୣ୰ ୟୣ ୰୭୳୮ = Cୟ୧୰ × EF × BR
BW൨ × A × CF
where:
DoseAIR = dose by inhalation (mg/kg/day), per age group
Cair сĐŽŶĐĞŶƚƌĂƚŝŽŶŽĨĐŽŶƚĂŵŝŶĂŶƚŝŶĂŝƌ;ʅŐͬŵϯͿ
EF = exposure frequency (number of days/365 days)
BR/BW = daily breathing rate normalized to body weight (L/kg/day)
A = inhalation absorption factor (default = 1)
CF = conversion factor (1x10-ϲ͕ʅŐƚŽŵŐ͕>ƚŽŵϯͿ
We used the following equation to calculate the overall cancer risk per appropriate age group:
Cancer Risk ୍ୖ = Dose୍ୖ ×CPF ×ASF ×FAH ×ED
AT
where:
DoseAIR = dose by inhalation (mg/kg/day), per age group
CPF = cancer potency factor, chemical-specific (mg/kg/day)-1
ASF = age sensitivity factor, per age group
FAH = fraction of time at home, per age group (for residential receptors only)
ED = exposure duration (years)
AT = averaging time period over which exposure duration is averaged (always 70 years)
Consistent with the 730-day construction schedule, the annualized average concentration for
construction was used for the entire third trimester of pregnancy (0.25 years) and the first 1.75 years of
the infantile stage of life (0 – 2 years). The results of our calculations are shown in the table below.
The Maximally Exposed Individual at an Existing Residential Receptor During Project Construction
Age Group Duration (years) Concentration
(ug/m3) Cancer Risk
3rd Trimester 0.25 0.2670 3.63E-06
Infant (0 - 2) 1.75 0.2670 7.67E-05
Construction 2 8.04E-05
The excess cancer risks for the 3rd trimester of pregnancy and infant stage of life at the nearest sensitive
receptor, over the course of Project construction are approximately 3.63 and 76.7 in one million,
respectively. The excess cancer risk over just the course of the Project construction is approximately
7
80.4 in one million, which exceeds the SCAQMD threshold of 10 in one million. This results in a
potentially significant impact not previously addressed or identified in the IS/MND.
Our analysis represents a conservative screening-level HRA, which prioritizes public health. It is used to
show the potential correlation between Project emissions and adverse health risks. The U.S. EPA
recommends the use of a screening-level analysis as the first phase of a tiered approach to conducting
exposure assumptions, as outlined in their Exposure Assessment Guidelines.
20 Screening-level analyses
require further evaluation with more developed modeling. Our initial HRA demonstrates that Project
construction could lead to significant health risks. An EIR should be prepared to include a
comprehensive HRA that properly evaluates impacts from construction.
Greenhouse Gas
Failure to Adequately Evaluate Greenhouse Gas Impacts
The IS/MND estimates that the Project will produce a net annual GHG emissions of 2,181-metric-tons of
carbon dioxide equivalents per year (“MT CO2e/year”) (p. 3-50, Table 17).
The IS/MND indicates that the GHG emission values are included in Appendix A. However, as previously
addressed, the IS/MND’s CalEEMod output files do not provide the emissions estimates or include any
relevant inputs beyond the land uses. We are therefore unable to verify the legitimacy of the estimates
presented in the table above and, as such, the Project’s GHG emissions could be underestimated. Until
an EIR is prepared to include complete CalEEMod output files we cannot ensure the Project’s GHG
emissions are accurately calculated and the IS/MND’s GHG analysis should not be relied upon for Project
significance.
Mitigation
Feasible Mitigation Measures Available to Reduce Emissions
As the Project would result in a potentially significant health risk impact to individuals in the community
surrounding the Project site, the IS/MND must include all feasible mitigation to address the Project’s
potential air quality and health risks. According to CEQA Guidelines § 15096(g)(2):
20 “Guidelines for Exposure Assessment.” U.S. Environmental Protection Agency, 1992,available at:
https://cfpub.epa.gov/ncea/risk/recordisplay.cfm?deid=15263.
8
“When an updated EIR has been prepared for a project, the Responsible Agency shall not
approve the project as proposed if the agency finds any feasible alternative or feasible
mitigation measures within its powers that would substantially lessen or avoid any significant
effect the project would have on the environment.”
The IS/MND should evaluate the following mitigation measures to reduce the DPM emissions associated
with Project construction (see list below).
The Southern California Association of Governments’ 2020 Regional Transportation Plan/Sustainable
Communities Strategy Program Environmental Impact Report provides the following mitigation
measures:21
x Minimize unnecessary vehicular and machinery activities.
x Require contractors to assemble a comprehensive inventory list (i.e., make, model, engine year,
horsepower, emission rates) of all heavy-duty off-road (portable and mobile) equipment (50
horsepower and greater) that could be used an aggregate of 40 or more hours for the
construction project.
x Ensure all construction equipment is properly tuned and maintained.
x Minimizing idling time to 5 minutes or beyond regulatory requirements —saves fuel and reduces
emissions.
x Utilize existing power sources (e.g., power poles) or clean fuel generators rather than temporary
power generators.
x Develop a traffic plan to minimize community impacts due to traffic flow interference from
construction activities. The plan may include advance public notice of routing, use of public
transportation, and satellite parking areas with a shuttle service. Schedule operations affecting
traffic for off-peak hours. Minimize obstruction of through-traffic lanes. Provide a flag person to
guide traffic properly and ensure safety at construction sites. Project sponsors should consider
developing a goal for the minimization of community impacts.
x Require projects to use Tier 4 Final equipment or better for all engines above 50 horsepower
(hp). If construction equipment cannot meet to Tier 4 Final engine certification, the Project
representative or contractor must demonstrate through future study with written findings
supported by substantial evidence that is approved by SCAG before using other
technologies/strategies. Alternative applicable strategies may include, but would not be limited
to, construction equipment with Tier 4 Interim or reduction in the number and/or horsepower
rating of construction equipment and/or limiting the number of construction equipment
operating at the same time. All equipment must be tuned and maintained in compliance with
the manufacturer’s recommended maintenance schedule and specifications. All maintenance
records for each equipment and their contractor(s) should make available for inspection and
21 “4.0 Mitigation Measures.” Connect SoCal Program Environmental Impact Report Addendum #1, September
2020, available at: https://scag.ca.gov/sites/main/files/file-
attachments/fpeir_connectsocal_addendum_4_mitigationmeasures.pdf?1606004420, p. 4.0-2 – 4.0-10; 4.0-19 –
4.0-23; See also: “Certified Final Connect SoCal Program Environmental Impact Report.” SCAG, May 2020, available
at: https://scag.ca.gov/peir.
9
remain on-site for a period of at least two years from completion of construction, unless the
individual project can demonstrate that Tier 4 engines would not be required to mitigate
emissions below significance thresholds. Project sponsors should also consider including ZE/ZNE
technologies where appropriate and feasible.
The CalEEMod User’s Guide confirms that the methods for mitigating DPM emissions include the use of
“alternative fuel, electric equipment, diesel particulate filters (DPF), oxidation catalysts, newer tier
engines, and dust suppression.”22
The proposed mitigation measures would effectively reduce Project-related DPM emissions by
integrating lower-emitting design features into the Project, thereby minimizing emissions during
construction. An EIR should be prepared to include all feasible mitigation measures and updated air
quality, health risk, and GHG analyses. This will ensure that necessary mitigation measures are
implemented to reduce emissions to the greatest extent possible.
Disclaimer
SWAPE has received limited documentation regarding this project. Additional information may become
available in the future; thus, we retain the right to revise or amend this report when additional
information becomes available. Our professional services have been performed using that degree of
care and skill ordinarily exercised, under similar circumstances, by reputable environmental consultants
practicing in this or similar localities at the time of service. No other warranty, expressed or implied, is
made as to the scope of work, work methodologies and protocols, site conditions, analytical testing
results, and findings presented. This report reflects efforts which were limited to information that was
reasonably accessible at the time of the work, and may contain informational gaps, inconsistencies, or
otherwise be incomplete due to the unavailability or uncertainty of information obtained or provided by
third parties.
Sincerely,
Matt Hagemann, P.G., C.Hg.
Paul E. Rosenfeld, Ph.D.
22 “Calculation Details for CalEEMod.” CAPCOA, May 2021, available at:http://www.aqmd.gov/docs/default-
source/caleemod/user-guide-2021/appendix-a2020-4-0.pdf?sfvrsn=6, Appendix A, p. 60.
ƚƚĂĐŚŵĞŶƚ͗ŽŶƐƚƌƵĐƚŝŽŶĂůĐƵůĂƚŝŽŶƐ
ƚƚĂĐŚŵĞŶƚ͗ĂůDŽĚKƵƚƉƵƚ&ŝůĞƐ
ƚƚĂĐŚŵĞŶƚ͗,ĞĂůƚŚZŝƐŬĂůĐƵůĂƚŝŽŶƐ
ƚƚĂĐŚŵĞŶƚ͗Z^ZEKƵƚƉƵƚ&ŝůĞƐ
ƚƚĂĐŚŵĞŶƚ͗DĂƚƚ,ĂŐĞŵĂŶŶs
ƚƚĂĐŚŵĞŶƚ&͗WĂƵůZŽƐĞŶĨĞůĚs
Phase
Default Phase
Length
Construction
Duration %
Construction
Duration
Revised Phase
Length
Demolition 20 381 0.0525 891 47
Site Preparation 3 381 0.0079 891 7
Grading 6 381 0.0157 891 14
Construction 220 381 0.5774 891 514
Paving 10 381 0.0262 891 23
Architectural Coating 10 381 0.0262 891 23
Total Default
Construction
Duration
Revised
Construction
Duration
Start Date 1/1/2026 1/1/2026
End Date 1/17/2027 6/10/2028
Total Days 381 891
Construction Schedule Calculations
ƚƚĂĐŚŵĞŶƚ
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Arcadia Town Center Detailed Report
Table of Contents
1. Basic Project Information
1.1. Basic Project Information
1.2. Land Use Types
1.3. User-Selected Emission Reduction Measures by Emissions Sector
2. Emissions Summary
2.1. Construction Emissions Compared Against Thresholds
2.2. Construction Emissions by Year, Unmitigated
2.4. Operations Emissions Compared Against Thresholds
2.5. Operations Emissions by Sector, Unmitigated
3. Construction Emissions Details
3.1. Demolition (2026) - Unmitigated
3.3. Site Preparation (2026) - Unmitigated
3.5. Grading (2026) - Unmitigated
3.7. Building Construction (2026) - Unmitigated
3.9. Building Construction (2027) - Unmitigated
ƚƚĂĐŚŵĞŶƚ
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3.11. Building Construction (2028) - Unmitigated
3.13. Paving (2028) - Unmitigated
3.15. Architectural Coating (2028) - Unmitigated
4. Operations Emissions Details
4.1. Mobile Emissions by Land Use
4.1.1. Unmitigated
4.2. Energy
4.2.1. Electricity Emissions By Land Use - Unmitigated
4.2.3. Natural Gas Emissions By Land Use - Unmitigated
4.3. Area Emissions by Source
4.3.1. Unmitigated
4.4. Water Emissions by Land Use
4.4.1. Unmitigated
4.5. Waste Emissions by Land Use
4.5.1. Unmitigated
4.6. Refrigerant Emissions by Land Use
4.6.1. Unmitigated
4.7. Offroad Emissions By Equipment Type
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4.7.1. Unmitigated
4.8. Stationary Emissions By Equipment Type
4.8.1. Unmitigated
4.9. User Defined Emissions By Equipment Type
4.9.1. Unmitigated
4.10. Soil Carbon Accumulation By Vegetation Type
4.10.1. Soil Carbon Accumulation By Vegetation Type - Unmitigated
4.10.2. Above and Belowground Carbon Accumulation by Land Use Type - Unmitigated
4.10.3. Avoided and Sequestered Emissions by Species - Unmitigated
5. Activity Data
5.1. Construction Schedule
5.2. Off-Road Equipment
5.2.1. Unmitigated
5.3. Construction Vehicles
5.3.1. Unmitigated
5.4. Vehicles
5.4.1. Construction Vehicle Control Strategies
5.5. Architectural Coatings
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5.6. Dust Mitigation
5.6.1. Construction Earthmoving Activities
5.6.2. Construction Earthmoving Control Strategies
5.7. Construction Paving
5.8. Construction Electricity Consumption and Emissions Factors
5.9. Operational Mobile Sources
5.9.1. Unmitigated
5.10. Operational Area Sources
5.10.1. Hearths
5.10.1.1. Unmitigated
5.10.2. Architectural Coatings
5.10.3. Landscape Equipment
5.11. Operational Energy Consumption
5.11.1. Unmitigated
5.12. Operational Water and Wastewater Consumption
5.12.1. Unmitigated
5.13. Operational Waste Generation
5.13.1. Unmitigated
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5.14. Operational Refrigeration and Air Conditioning Equipment
5.14.1. Unmitigated
5.15. Operational Off-Road Equipment
5.15.1. Unmitigated
5.16. Stationary Sources
5.16.1. Emergency Generators and Fire Pumps
5.16.2. Process Boilers
5.17. User Defined
5.18. Vegetation
5.18.1. Land Use Change
5.18.1.1. Unmitigated
5.18.1. Biomass Cover Type
5.18.1.1. Unmitigated
5.18.2. Sequestration
5.18.2.1. Unmitigated
6. Climate Risk Detailed Report
6.1. Climate Risk Summary
6.2. Initial Climate Risk Scores
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6.3. Adjusted Climate Risk Scores
6.4. Climate Risk Reduction Measures
7. Health and Equity Details
7.1. CalEnviroScreen 4.0 Scores
7.2. Healthy Places Index Scores
7.3. Overall Health & Equity Scores
7.4. Health & Equity Measures
7.5. Evaluation Scorecard
7.6. Health & Equity Custom Measures
8. User Changes to Default Data
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1. Basic Project Information
1.1. Basic Project Information
Data Field Value
Project Name Arcadia Town Center
Construction Start Date 1/1/2026
Operational Year 2028
Lead Agency —
Land Use Scale Project/site
Analysis Level for Defaults County
Windspeed (m/s)0.50
Precipitation (days)24.4
Location 34.140403578150526, -118.03194606892856
County Los Angeles-South Coast
City Arcadia
Air District South Coast AQMD
Air Basin South Coast
TAZ 4922
EDFZ 7
Electric Utility Southern California Edison
Gas Utility Southern California Gas
App Version 2022.1.1.29
1.2. Land Use Types
Land Use Subtype Size Unit Lot Acreage Building Area (sq ft)Landscape Area (sq
ft)
Special Landscape
Area (sq ft)
Population Description
Apartments Mid
Rise
181 Dwelling Unit 2.27 173,760 2,000 — 536 —
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Enclosed Parking
with Elevator
378 Space 0.00 151,200 0.00 — — —
City Park 1.00 Acre 0.00 0.00 21,825 21,825 — —
User Defined
Recreational
5.00 User Defined Unit 0.00 5,000 1,000 1,000 — —
Strip Mall 4.00 1000sqft 0.09 4,000 800 — — —
General Office
Building
5.00 1000sqft 0.11 5,000 1,000 — — —
1.3. User-Selected Emission Reduction Measures by Emissions Sector
No measures selected
2. Emissions Summary
2.1. Construction Emissions Compared Against Thresholds
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Un/Mit.TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Unmit. 3.71 1.95 45.7 27.6 0.21 0.93 14.7 15.6 0.89 5.49 6.38 — 29,843 29,843 1.62 4.38 61.6 31,250
Daily,
Winter
(Max)
——————————————————
Unmit. 3.67 1.95 47.0 27.6 0.21 0.93 14.7 15.6 0.89 5.49 6.38 — 29,847 29,847 1.62 4.38 1.60 31,194
Average
Daily
(Max)
——————————————————
Unmit. 1.62 1.33 10.4 16.5 0.03 0.31 2.16 2.47 0.28 0.59 0.87 — 4,825 4,825 0.22 0.34 4.01 4,936
Annual
(Max)
——————————————————
Unmit. 0.30 0.24 1.89 3.01 0.01 0.06 0.40 0.45 0.05 0.11 0.16 — 799 799 0.04 0.06 0.66 817
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2.2. Construction Emissions by Year, Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Year TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily -
Summer
(Max)
——————————————————
2026 3.71 1.95 45.7 27.6 0.21 0.93 14.7 15.6 0.89 5.49 6.38 — 29,843 29,843 1.62 4.38 61.6 31,250
2027 2.25 1.88 11.9 24.4 0.03 0.33 3.00 3.33 0.31 0.72 1.03 — 6,262 6,262 0.26 0.31 11.9 6,373
2028 0.79 0.66 5.58 9.02 0.01 0.20 0.52 0.54 0.19 0.12 0.23 — 1,440 1,440 0.05 0.02 1.48 1,447
Daily -
Winter
(Max)
——————————————————
2026 3.67 1.95 47.0 27.6 0.21 0.93 14.7 15.6 0.89 5.49 6.38 — 29,847 29,847 1.62 4.38 1.60 31,194
2027 2.24 1.86 12.1 22.6 0.03 0.33 3.00 3.33 0.31 0.72 1.03 — 6,126 6,126 0.18 0.31 0.31 6,223
2028 2.15 1.78 11.5 21.9 0.03 0.30 3.00 3.29 0.27 0.72 0.99 — 6,049 6,049 0.17 0.31 0.28 6,145
Average
Daily
——————————————————
2026 1.62 1.30 10.4 15.9 0.03 0.31 2.16 2.47 0.28 0.59 0.87 — 4,825 4,825 0.22 0.34 4.01 4,936
2027 1.60 1.33 8.68 16.5 0.02 0.24 2.11 2.34 0.22 0.51 0.72 — 4,402 4,402 0.13 0.22 3.68 4,474
2028 0.42 0.35 2.31 4.43 0.01 0.06 0.53 0.59 0.06 0.13 0.18 — 1,130 1,130 0.03 0.05 0.83 1,148
Annual——————————————————
2026 0.30 0.24 1.89 2.90 0.01 0.06 0.40 0.45 0.05 0.11 0.16 — 799 799 0.04 0.06 0.66 817
2027 0.29 0.24 1.58 3.01 < 0.005 0.04 0.38 0.43 0.04 0.09 0.13 — 729 729 0.02 0.04 0.61 741
2028 0.08 0.06 0.42 0.81 < 0.005 0.01 0.10 0.11 0.01 0.02 0.03 — 187 187 0.01 0.01 0.14 190
2.4. Operations Emissions Compared Against Thresholds
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Un/Mit.TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
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——————————————————Daily,
Summer
(Max)
Unmit. 62.8 57.1 7.13 142 0.32 13.0 7.62 20.7 12.8 1.94 14.7 1,788 14,202 15,990 14.9 0.43 23.9 16,513
Daily,
Winter
(Max)
——————————————————
Unmit. 60.5 55.0 7.22 122 0.31 13.0 7.62 20.6 12.8 1.94 14.7 1,788 13,807 15,595 14.9 0.44 1.87 16,101
Average
Daily
(Max)
——————————————————
Unmit. 13.0 12.1 3.67 46.8 0.09 0.99 7.03 8.01 0.96 1.79 2.75 208 10,417 10,626 10.1 0.37 10.4 10,999
Annual
(Max)
——————————————————
Unmit. 2.36 2.21 0.67 8.54 0.02 0.18 1.28 1.46 0.18 0.33 0.50 34.5 1,725 1,759 1.68 0.06 1.73 1,821
2.5. Operations Emissions by Sector, Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Sector TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Mobile 4.07 3.69 2.66 31.9 0.08 0.05 7.62 7.67 0.04 1.94 1.98 — 8,161 8,161 0.37 0.31 22.6 8,286
Area 58.7 53.4 3.91 110 0.24 12.9 — 12.9 12.7 — 12.7 1,695 3,296 4,992 5.06 0.06 — 5,137
Energy 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 2,660 2,660 0.18 0.02 — 2,670
Water———————————15.284.799.91.560.04—150
Waste———————————77.00.0077.07.690.00—269
Refrig.————————————————1.281.28
Total 62.8 57.1 7.13 142 0.32 13.0 7.62 20.7 12.8 1.94 14.7 1,788 14,202 15,990 14.9 0.43 23.9 16,513
Daily,
Winter
(Max)
——————————————————
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Mobile 4.03 3.65 2.91 29.4 0.08 0.05 7.62 7.67 0.04 1.94 1.98 — 7,823 7,823 0.39 0.33 0.59 7,931
Area 56.5 51.3 3.76 92.0 0.23 12.9 — 12.9 12.7 — 12.7 1,695 3,239 4,935 5.05 0.06 — 5,080
Energy 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 2,660 2,660 0.18 0.02 — 2,670
Water———————————15.284.799.91.560.04—150
Waste———————————77.00.0077.07.690.00—269
Refrig.————————————————1.281.28
Total 60.5 55.0 7.22 122 0.31 13.0 7.62 20.6 12.8 1.94 14.7 1,788 13,807 15,595 14.9 0.44 1.87 16,101
Average
Daily
——————————————————
Mobile 3.75 3.39 2.75 28.2 0.07 0.04 7.03 7.07 0.04 1.79 1.83 — 7,411 7,411 0.36 0.31 9.14 7,522
Area 9.14 8.69 0.37 18.3 0.02 0.90 — 0.90 0.88 — 0.88 116 261 377 0.35 < 0.005 — 387
Energy 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 2,660 2,660 0.18 0.02 — 2,670
Water———————————15.284.799.91.560.04—150
Waste———————————77.00.0077.07.690.00—269
Refrig.————————————————1.281.28
Total 13.0 12.1 3.67 46.8 0.09 0.99 7.03 8.01 0.96 1.79 2.75 208 10,417 10,626 10.1 0.37 10.4 10,999
Annual——————————————————
Mobile 0.68 0.62 0.50 5.16 0.01 0.01 1.28 1.29 0.01 0.33 0.33 — 1,227 1,227 0.06 0.05 1.51 1,245
Area1.671.590.073.33<0.0050.16— 0.160.16— 0.1619.243.262.40.06<0.005— 64.1
Energy 0.01 0.01 0.10 0.05 < 0.005 0.01 — 0.01 0.01 — 0.01 — 440 440 0.03 < 0.005 — 442
Water———————————2.5214.016.50.260.01—24.9
Waste———————————12.70.0012.71.270.00—44.6
Refrig.————————————————0.210.21
Total 2.36 2.21 0.67 8.54 0.02 0.18 1.28 1.46 0.18 0.33 0.50 34.5 1,725 1,759 1.68 0.06 1.73 1,821
3. Construction Emissions Details
3.1. Demolition (2026) - Unmitigated
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Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.66 1.39 12.9 14.6 0.02 0.51 — 0.51 0.47 — 0.47 — 2,494 2,494 0.10 0.02 — 2,503
Demoliti
on
——————0.000.00—0.000.00———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.21 0.18 1.67 1.88 < 0.005 0.07 — 0.07 0.06 — 0.06 — 321 321 0.01 < 0.005 — 322
Demoliti
on
——————0.000.00—0.000.00———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.04 0.03 0.30 0.34 < 0.005 0.01 — 0.01 0.01 — 0.01 — 53.2 53.2 < 0.005 < 0.005 — 53.4
Demoliti
on
——————0.000.00—0.000.00———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
Worker 0.05 0.05 0.05 0.69 0.00 0.00 0.16 0.16 0.00 0.04 0.04 — 161 161 0.01 0.01 0.01 163
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker 0.01 0.01 0.01 0.09 0.00 0.00 0.02 0.02 0.00 < 0.005 < 0.005 — 21.0 21.0 < 0.005 < 0.005 0.03 21.3
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 0.02 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 3.47 3.47 < 0.005 < 0.005 0.01 3.52
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.3. Site Preparation (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
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2,725—0.020.112,7162,716—0.39—0.390.42—0.420.0310.89.841.131.34Off-Roa
d
Equipm
Dust
From
Material
Movement
——————1.591.59—0.170.17———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.03 0.02 0.19 0.21 < 0.005 0.01 — 0.01 0.01 — 0.01 — 52.1 52.1 < 0.005 < 0.005 — 52.3
Dust
From
Material
Movement
——————0.030.03—<0.005<0.005———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 0.03 0.04 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 8.62 8.62 < 0.005 < 0.005 — 8.65
Dust
From
Material
Movement
——————0.010.01—<0.005<0.005———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
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——————————————————Daily,
Winter
(Max)
Worker 0.03 0.03 0.03 0.41 0.00 0.00 0.10 0.10 0.00 0.02 0.02 — 96.3 96.3 < 0.005 < 0.005 0.01 97.5
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker < 0.005 < 0.005 < 0.005 0.01 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 1.87 1.87 < 0.005 < 0.005 < 0.005 1.90
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.31 0.31 < 0.005 < 0.005 < 0.005 0.31
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.5. Grading (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.70 1.42 12.9 14.0 0.02 0.58 — 0.58 0.53 — 0.53 — 2,455 2,455 0.10 0.02 — 2,463
Dust
From
Material
Movement
——————7.107.10—3.433.43———————
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0.000.000.000.000.000.00—0.000.000.000.000.000.000.000.000.000.000.00Onsite
truck
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.70 1.42 12.9 14.0 0.02 0.58 — 0.58 0.53 — 0.53 — 2,455 2,455 0.10 0.02 — 2,463
Dust
From
Material
Movement
——————7.107.10—3.433.43———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.07 0.05 0.49 0.54 < 0.005 0.02 — 0.02 0.02 — 0.02 — 94.2 94.2 < 0.005 < 0.005 — 94.5
Dust
From
Material
Movement
——————0.270.27—0.130.13———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.01 0.01 0.09 0.10 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 15.6 15.6 < 0.005 < 0.005 — 15.6
Dust
From
Material
Movement
——————0.050.05—0.020.02———————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Worker 0.04 0.04 0.04 0.65 0.00 0.00 0.13 0.13 0.00 0.03 0.03 — 135 135 0.01 < 0.005 0.46 137
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 1.97 0.43 32.8 12.9 0.19 0.35 7.43 7.78 0.35 2.03 2.39 — 27,252 27,252 1.51 4.35 61.1 28,649
Daily,
Winter
(Max)
——————————————————
Worker 0.04 0.04 0.04 0.55 0.00 0.00 0.13 0.13 0.00 0.03 0.03 — 128 128 0.01 < 0.005 0.01 130
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 1.93 0.41 34.1 13.0 0.19 0.35 7.43 7.78 0.35 2.03 2.39 — 27,264 27,264 1.51 4.35 1.59 28,601
Average
Daily
——————————————————
Worker < 0.005 < 0.005 < 0.005 0.02 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 5.00 5.00 < 0.005 < 0.005 0.01 5.07
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.07 0.02 1.32 0.50 0.01 0.01 0.28 0.30 0.01 0.08 0.09 — 1,045 1,045 0.06 0.17 1.01 1,098
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 < 0.005 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 0.83 0.83 < 0.005 < 0.005 < 0.005 0.84
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.01 < 0.005 0.24 0.09 < 0.005 < 0.005 0.05 0.05 < 0.005 0.01 0.02 — 173 173 0.01 0.03 0.17 182
3.7. Building Construction (2026) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
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2,208—0.020.092,2012,201—0.33—0.330.36—0.360.0211.810.11.181.41Off-Roa
d
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.41 1.18 10.1 11.8 0.02 0.36 — 0.36 0.33 — 0.33 — 2,201 2,201 0.09 0.02 — 2,208
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.74 0.62 5.32 6.19 0.01 0.19 — 0.19 0.17 — 0.17 — 1,159 1,159 0.05 0.01 — 1,163
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.14 0.11 0.97 1.13 < 0.005 0.03 — 0.03 0.03 — 0.03 — 192 192 0.01 < 0.005 — 192
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Worker 0.83 0.73 0.77 12.8 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,694 2,694 0.11 0.09 9.11 2,734
Vendor 0.10 0.04 1.60 0.77 0.01 0.02 0.40 0.42 0.01 0.11 0.12 — 1,447 1,447 0.06 0.21 3.91 1,514
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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Daily,
Winter
(Max)
——————————————————
Worker 0.83 0.73 0.87 11.0 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,553 2,553 0.12 0.09 0.24 2,585
Vendor 0.10 0.04 1.67 0.79 0.01 0.02 0.40 0.42 0.01 0.11 0.12 — 1,448 1,448 0.06 0.21 0.10 1,511
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker 0.43 0.38 0.50 6.04 0.00 0.00 1.35 1.35 0.00 0.32 0.32 — 1,364 1,364 0.06 0.05 2.08 1,382
Vendor 0.05 0.02 0.88 0.41 0.01 0.01 0.21 0.22 0.01 0.06 0.06 — 762 762 0.03 0.11 0.89 796
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker 0.08 0.07 0.09 1.10 0.00 0.00 0.25 0.25 0.00 0.06 0.06 — 226 226 0.01 0.01 0.34 229
Vendor 0.01 < 0.005 0.16 0.08 < 0.005 < 0.005 0.04 0.04 < 0.005 0.01 0.01 — 126 126 0.01 0.02 0.15 132
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.9. Building Construction (2027) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.35 1.13 9.70 11.7 0.02 0.32 — 0.32 0.30 — 0.30 — 2,201 2,201 0.09 0.02 — 2,208
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
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Off-Roa
Equipment
1.35 1.13 9.70 11.7 0.02 0.32 — 0.32 0.30 — 0.30 — 2,201 2,201 0.09 0.02 — 2,208
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.97 0.81 6.93 8.36 0.02 0.23 — 0.23 0.21 — 0.21 — 1,572 1,572 0.06 0.01 — 1,577
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.18 0.15 1.26 1.53 < 0.005 0.04 — 0.04 0.04 — 0.04 — 260 260 0.01 < 0.005 — 261
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Worker 0.80 0.71 0.69 11.9 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,642 2,642 0.11 0.09 8.23 2,681
Vendor 0.09 0.04 1.53 0.73 0.01 0.01 0.40 0.41 0.01 0.11 0.12 — 1,419 1,419 0.06 0.20 3.70 1,483
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Worker 0.79 0.69 0.86 10.1 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,505 2,505 0.04 0.09 0.21 2,534
Vendor 0.09 0.04 1.59 0.74 0.01 0.01 0.40 0.41 0.01 0.11 0.12 — 1,420 1,420 0.06 0.20 0.10 1,480
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
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Worker 0.57 0.49 0.61 7.59 0.00 0.00 1.83 1.83 0.00 0.43 0.43 — 1,815 1,815 0.03 0.07 2.53 1,839
Vendor 0.07 0.03 1.14 0.53 0.01 0.01 0.28 0.29 0.01 0.08 0.08 — 1,014 1,014 0.04 0.14 1.14 1,058
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker 0.10 0.09 0.11 1.39 0.00 0.00 0.33 0.33 0.00 0.08 0.08 — 301 301 < 0.005 0.01 0.42 304
Vendor 0.01 0.01 0.21 0.10 < 0.005 < 0.005 0.05 0.05 < 0.005 0.01 0.02 — 168 168 0.01 0.02 0.19 175
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.11. Building Construction (2028) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
1.29 1.08 9.23 11.7 0.02 0.28 — 0.28 0.26 — 0.26 — 2,201 2,201 0.09 0.02 — 2,209
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.21 0.18 1.52 1.92 < 0.005 0.05 — 0.05 0.04 — 0.04 — 362 362 0.01 < 0.005 — 363
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
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Off-Roa
Equipment
0.04 0.03 0.28 0.35 < 0.005 0.01 — 0.01 0.01 — 0.01 — 59.9 59.9 < 0.005 < 0.005 — 60.1
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Daily,
Winter
(Max)
——————————————————
Worker 0.77 0.67 0.77 9.53 0.00 0.00 2.60 2.60 0.00 0.61 0.61 — 2,460 2,460 0.03 0.09 0.19 2,489
Vendor 0.09 0.03 1.52 0.71 0.01 0.01 0.40 0.41 0.01 0.11 0.12 — 1,387 1,387 0.05 0.20 0.09 1,447
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker 0.13 0.11 0.13 1.64 0.00 0.00 0.42 0.42 0.00 0.10 0.10 — 410 410 0.01 0.02 0.53 416
Vendor 0.02 0.01 0.25 0.12 < 0.005 < 0.005 0.06 0.07 < 0.005 0.02 0.02 — 228 228 0.01 0.03 0.25 238
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker 0.02 0.02 0.02 0.30 0.00 0.00 0.08 0.08 0.00 0.02 0.02 — 67.9 67.9 < 0.005 < 0.005 0.09 68.8
Vendor < 0.005 < 0.005 0.05 0.02 < 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 < 0.005 — 37.7 37.7 < 0.005 0.01 0.04 39.4
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.13. Paving (2028) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
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Off-Roa
Equipment
0.73 0.61 5.53 8.18 0.01 0.20 — 0.20 0.19 — 0.19 — 1,244 1,244 0.05 0.01 — 1,248
Paving0.000.00————————————————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Off-Roa
d
Equipm
ent
0.73 0.61 5.53 8.18 0.01 0.20 — 0.20 0.19 — 0.19 — 1,244 1,244 0.05 0.01 — 1,248
Paving0.000.00————————————————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.05 0.04 0.35 0.52 < 0.005 0.01 — 0.01 0.01 — 0.01 — 78.4 78.4 < 0.005 < 0.005 — 78.6
Paving0.000.00————————————————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
0.01 0.01 0.06 0.09 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 13.0 13.0 < 0.005 < 0.005 — 13.0
Paving0.000.00————————————————
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
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——————————————————Daily,
Summer
(Max)
Worker 0.06 0.05 0.05 0.85 0.00 0.00 0.20 0.20 0.00 0.05 0.05 — 196 196 < 0.005 0.01 0.56 198
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Worker 0.06 0.05 0.06 0.72 0.00 0.00 0.20 0.20 0.00 0.05 0.05 — 186 186 < 0.005 0.01 0.01 188
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Average
Daily
——————————————————
Worker < 0.005 < 0.005 < 0.005 0.05 0.00 0.00 0.01 0.01 0.00 < 0.005 < 0.005 — 11.9 11.9 < 0.005 < 0.005 0.02 12.0
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 0.01 0.00 0.00 < 0.005 < 0.005 0.00 < 0.005 < 0.005 — 1.97 1.97 < 0.005 < 0.005 < 0.005 1.99
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
3.15. Architectural Coating (2028) - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Location TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Onsite——————————————————
Daily,
Summer
(Max)
——————————————————
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134—< 0.0050.01134134—0.01—0.010.02—0.02< 0.0051.120.810.110.13Off-Roa
d
Equipm
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Average
Daily
——————————————————
Off-Roa
d
Equipm
ent
0.01 0.01 0.05 0.07 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 8.41 8.41 < 0.005 < 0.005 — 8.44
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Off-Roa
d
Equipm
ent
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 1.39 1.39 < 0.005 < 0.005 — 1.40
Onsite
truck
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Offsite ——————————————————
Daily,
Summer
(Max)
——————————————————
Worker 0.15 0.14 0.14 2.24 0.00 0.00 0.52 0.52 0.00 0.12 0.12 — 519 519 0.01 0.02 1.48 526
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Daily,
Winter
(Max)
——————————————————
Average
Daily
——————————————————
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Worker 0.01 0.01 0.01 0.13 0.00 0.00 0.03 0.03 0.00 0.01 0.01 — 31.5 31.5 < 0.005 < 0.005 0.04 31.9
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Annual——————————————————
Worker < 0.005 < 0.005 < 0.005 0.02 0.00 0.00 0.01 0.01 0.00 < 0.005 < 0.005 — 5.21 5.21 < 0.005 < 0.005 0.01 5.28
Vendor 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Hauling 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
4. Operations Emissions Details
4.1. Mobile Emissions by Land Use
4.1.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
3.30 2.99 2.15 25.8 0.06 0.04 6.14 6.18 0.04 1.56 1.60 — 6,574 6,574 0.30 0.25 18.2 6,675
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
City
Park
0.01 0.01 < 0.005 0.06 < 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 < 0.005 — 15.2 15.2 < 0.005 < 0.005 0.04 15.5
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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1,2523.420.050.061,2331,233—0.300.290.011.161.150.010.014.800.400.540.60Strip
Mall
General
Office
Building
0.16 0.15 0.11 1.32 < 0.005 < 0.005 0.32 0.32 < 0.005 0.08 0.08 — 339 339 0.02 0.01 0.94 344
Total 4.07 3.69 2.66 31.9 0.08 0.05 7.62 7.67 0.04 1.94 1.98 — 8,161 8,161 0.37 0.31 22.6 8,286
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
3.27 2.96 2.35 23.7 0.06 0.04 6.14 6.18 0.04 1.56 1.60 — 6,302 6,302 0.31 0.27 0.47 6,389
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
City
Park
0.01 0.01 0.01 0.05 < 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 < 0.005 — 14.6 14.6 < 0.005 < 0.005 < 0.005 14.8
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Strip
Mall
0.59 0.54 0.44 4.41 0.01 0.01 1.15 1.16 0.01 0.29 0.30 — 1,182 1,182 0.06 0.05 0.09 1,198
General
Office
Building
0.16 0.15 0.12 1.21 < 0.005 < 0.005 0.32 0.32 < 0.005 0.08 0.08 — 325 325 0.02 0.01 0.02 329
Total 4.03 3.65 2.91 29.4 0.08 0.05 7.62 7.67 0.04 1.94 1.98 — 7,823 7,823 0.39 0.33 0.59 7,931
Annual——————————————————
Apartme
nts
Mid Rise
0.56 0.51 0.41 4.22 0.01 0.01 1.05 1.06 0.01 0.27 0.27 — 1,003 1,003 0.05 0.04 1.24 1,018
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
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City
Park
< 0.005 < 0.005 < 0.005 0.01 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — 1.28 1.28 < 0.005 < 0.005 < 0.005 1.30
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 0.00 0.00 0.00 0.00
Strip
Mall
0.10 0.09 0.07 0.76 < 0.005 < 0.005 0.19 0.19 < 0.005 0.05 0.05 — 181 181 0.01 0.01 0.22 184
General
Office
Building
0.02 0.02 0.02 0.17 < 0.005 < 0.005 0.04 0.04 < 0.005 0.01 0.01 — 41.2 41.2 < 0.005 < 0.005 0.05 41.8
Total 0.68 0.62 0.50 5.16 0.01 0.01 1.28 1.29 0.01 0.33 0.33 — 1,227 1,227 0.06 0.05 1.51 1,245
4.2. Energy
4.2.1. Electricity Emissions By Land Use - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
————————————9679670.060.01—971
Enclose
d
Parking
with
Elevator
————————————8138130.050.01—817
City
Park
————————————0.000.000.000.00—0.00
User
Defined
Recreational
————————————0.000.000.000.00—0.00
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57.5—< 0.005<0.00557.357.3————————————Strip
Mall
General
Office
Building
————————————1301300.01<0.005—130
Total————————————1,9681,9680.120.01—1,975
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
————————————9679670.060.01—971
Enclose
d
Parking
with
Elevator
————————————8138130.050.01—817
City
Park
————————————0.000.000.000.00—0.00
User
Defined
Recreational
————————————0.000.000.000.00—0.00
Strip
Mall
————————————57.357.3<0.005<0.005—57.5
General
Office
Building
————————————1301300.01<0.005—130
Total————————————1,9681,9680.120.01—1,975
Annual——————————————————
Apartme
nts
Mid Rise
————————————1601600.01<0.005—161
Enclose
d
Parking
with
Elevator
————————————1351350.01<0.005—135
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City
Park
————————————0.000.000.000.00—0.00
User
Defined
Recreational
————————————0.000.000.000.00—0.00
Strip
Mall
————————————9.489.48<0.005<0.005—9.52
General
Office
Building
————————————21.521.5<0.005<0.005—21.6
Total————————————3263260.02<0.005—327
4.2.3. Natural Gas Emissions By Land Use - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
0.06 0.03 0.51 0.22 < 0.005 0.04 — 0.04 0.04 — 0.04 — 644 644 0.06 < 0.005 — 646
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
City
Park
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
Strip
Mall
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 7.67 7.67 < 0.005 < 0.005 — 7.70
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40.7—< 0.005<0.00540.640.6—<0.005—< 0.005<0.005—<0.005< 0.0050.030.03<0.005< 0.005General
Office
Building
Total 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 693 693 0.06 < 0.005 — 694
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
0.06 0.03 0.51 0.22 < 0.005 0.04 — 0.04 0.04 — 0.04 — 644 644 0.06 < 0.005 — 646
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
City
Park
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
Strip
Mall
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 7.67 7.67 < 0.005 < 0.005 — 7.70
General
Office
Building
< 0.005 < 0.005 0.03 0.03 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 40.6 40.6 < 0.005 < 0.005 — 40.7
Total 0.06 0.03 0.55 0.25 < 0.005 0.04 — 0.04 0.04 — 0.04 — 693 693 0.06 < 0.005 — 694
Annual——————————————————
Apartme
nts
Mid Rise
0.01 0.01 0.09 0.04 < 0.005 0.01 — 0.01 0.01 — 0.01 — 107 107 0.01 < 0.005 — 107
Enclose
d
Parking
with
Elevator
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
City
Park
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
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User
Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 — 0.00 0.00 — 0.00 — 0.00 0.00 0.00 0.00 — 0.00
Strip
Mall
< 0.005 < 0.005 < 0.005 < 0.005 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 1.27 1.27 < 0.005 < 0.005 — 1.27
General
Office
Building
< 0.005 < 0.005 0.01 0.01 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 6.72 6.72 < 0.005 < 0.005 — 6.74
Total 0.01 0.01 0.10 0.05 < 0.005 0.01 — 0.01 0.01 — 0.01 — 115 115 0.01 < 0.005 — 115
4.3. Area Emissions by Source
4.3.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Source TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Hearths 52.4 47.3 3.76 92.0 0.23 12.9 — 12.9 12.7 — 12.7 1,695 3,239 4,935 5.05 0.06 — 5,080
Consum
er
Product
s
4.034.03————————————————
Landsca
pe
Equipm
ent
2.22 2.08 0.16 17.5 < 0.005 0.02 — 0.02 0.01 — 0.01 — 57.0 57.0 < 0.005 < 0.005 — 57.2
Total 58.7 53.4 3.91 110 0.24 12.9 — 12.9 12.7 — 12.7 1,695 3,296 4,992 5.06 0.06 — 5,137
Daily,
Winter
(Max)
——————————————————
Hearths 52.4 47.3 3.76 92.0 0.23 12.9 — 12.9 12.7 — 12.7 1,695 3,239 4,935 5.05 0.06 — 5,080
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————————————————4.034.03Consum
er
Product
s
Total 56.5 51.3 3.76 92.0 0.23 12.9 — 12.9 12.7 — 12.7 1,695 3,239 4,935 5.05 0.06 — 5,080
Annual——————————————————
Hearths 0.66 0.59 0.05 1.15 < 0.005 0.16 — 0.16 0.16 — 0.16 19.2 36.7 56.0 0.06 < 0.005 — 57.6
Consum
er
Product
s
0.740.74————————————————
Landsca
pe
Equipm
ent
0.28 0.26 0.02 2.18 < 0.005 < 0.005 — < 0.005 < 0.005 — < 0.005 — 6.46 6.46 < 0.005 < 0.005 — 6.49
Total 1.67 1.59 0.07 3.33 < 0.005 0.16 — 0.16 0.16 — 0.16 19.2 43.2 62.4 0.06 < 0.005 — 64.1
4.4. Water Emissions by Land Use
4.4.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
———————————12.967.280.11.330.03—123
Enclose
d
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
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5.28—< 0.005<0.0055.265.260.00———————————City
Park
User
Defined
Recreational
———————————0.000.240.24<0.005<0.005—0.24
Strip
Mall
———————————0.573.033.590.06<0.005—5.47
General
Office
Building
———————————1.708.9310.60.18<0.005—16.3
Total———————————15.284.799.91.560.04—150
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
———————————12.967.280.11.330.03—123
Enclose
d
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
City
Park
———————————0.005.265.26<0.005<0.005—5.28
User
Defined
Recreational
———————————0.000.240.24<0.005<0.005—0.24
Strip
Mall
———————————0.573.033.590.06<0.005—5.47
General
Office
Building
———————————1.708.9310.60.18<0.005—16.3
Total———————————15.284.799.91.560.04—150
Annual——————————————————
Apartme
nts
Mid Rise
———————————2.1411.113.30.220.01—20.3
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Enclose
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
City
Park
———————————0.000.870.87<0.005<0.005—0.87
User
Defined
Recreational
———————————0.000.040.04<0.005<0.005—0.04
Strip
Mall
———————————0.090.500.600.01<0.005—0.91
General
Office
Building
———————————0.281.481.760.03<0.005—2.69
Total———————————2.5214.016.50.260.01—24.9
4.5. Waste Emissions by Land Use
4.5.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
———————————72.20.0072.27.210.00—252
Enclose
d
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
City
Park
———————————0.050.000.05<0.0050.00—0.16
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User
Defined
Recreational
———————————0.000.000.000.000.00—0.00
Strip
Mall
———————————2.260.002.260.230.00—7.92
General
Office
Building
———————————2.510.002.510.250.00—8.77
Total———————————77.00.0077.07.690.00—269
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
———————————72.20.0072.27.210.00—252
Enclose
d
Parking
with
Elevator
———————————0.000.000.000.000.00—0.00
City
Park
———————————0.050.000.05<0.0050.00—0.16
User
Defined
Recreational
———————————0.000.000.000.000.00—0.00
Strip
Mall
———————————2.260.002.260.230.00—7.92
General
Office
Building
———————————2.510.002.510.250.00—8.77
Total———————————77.00.0077.07.690.00—269
Annual——————————————————
Apartme
nts
Mid Rise
———————————11.90.0011.91.190.00—41.8
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0.00—0.000.000.000.000.00———————————Enclose
d
Parking
with
Elevator
City
Park
———————————0.010.000.01<0.0050.00—0.03
User
Defined
Recreational
———————————0.000.000.000.000.00—0.00
Strip
Mall
———————————0.370.000.370.040.00—1.31
General
Office
Building
———————————0.410.000.410.040.00—1.45
Total———————————12.70.0012.71.270.00—44.6
4.6. Refrigerant Emissions by Land Use
4.6.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Apartme
nts
Mid Rise
————————————————1.241.24
City
Park
————————————————0.000.00
Strip
Mall
————————————————0.020.02
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0.010.01————————————————General
Office
Building
Total————————————————1.281.28
Daily,
Winter
(Max)
——————————————————
Apartme
nts
Mid Rise
————————————————1.241.24
City
Park
————————————————0.000.00
Strip
Mall
————————————————0.020.02
General
Office
Building
————————————————0.010.01
Total————————————————1.281.28
Annual——————————————————
Apartme
nts
Mid Rise
————————————————0.210.21
City
Park
————————————————0.000.00
Strip
Mall
————————————————<0.005<0.005
General
Office
Building
————————————————<0.005<0.005
Total————————————————0.210.21
4.7. Offroad Emissions By Equipment Type
4.7.1. Unmitigated
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Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
Annual——————————————————
Total——————————————————
4.8. Stationary Emissions By Equipment Type
4.8.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
Annual——————————————————
Total——————————————————
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4.9. User Defined Emissions By Equipment Type
4.9.1. Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Equipm
ent
Type
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
Annual——————————————————
Total——————————————————
4.10. Soil Carbon Accumulation By Vegetation Type
4.10.1. Soil Carbon Accumulation By Vegetation Type - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Vegetati
on
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
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Annual——————————————————
Total——————————————————
4.10.2. Above and Belowground Carbon Accumulation by Land Use Type - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Land
Use
TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Total——————————————————
Daily,
Winter
(Max)
——————————————————
Total——————————————————
Annual——————————————————
Total——————————————————
4.10.3. Avoided and Sequestered Emissions by Species - Unmitigated
Criteria Pollutants (lb/day for daily, ton/yr for annual) and GHGs (lb/day for daily, MT/yr for annual)
Species TOG ROG NOx CO SO2 PM10E PM10D PM10T PM2.5E PM2.5D PM2.5T BCO2 NBCO2 CO2T CH4 N2O R CO2e
Daily,
Summer
(Max)
——————————————————
Avoided——————————————————
Subtotal——————————————————
Sequest
ered
——————————————————
Subtotal——————————————————
Remove
d
——————————————————
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Subtotal——————————————————
———————————————————
Daily,
Winter
(Max)
——————————————————
Avoided——————————————————
Subtotal——————————————————
Sequest
ered
——————————————————
Subtotal——————————————————
Remove
d
——————————————————
Subtotal——————————————————
———————————————————
Annual——————————————————
Avoided——————————————————
Subtotal——————————————————
Sequest
ered
——————————————————
Subtotal——————————————————
Remove
d
——————————————————
Subtotal——————————————————
———————————————————
5. Activity Data
5.1. Construction Schedule
Phase Name Phase Type Start Date End Date Days Per Week Work Days per Phase Phase Description
Demolition Demolition 1/1/2026 3/6/2026 5.00 47.0 —
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Site Preparation Site Preparation 3/7/2026 3/17/2026 5.00 7.00 —
Grading Grading 3/18/2026 4/6/2026 5.00 14.0 —
Building Construction Building Construction 4/7/2026 3/24/2028 5.00 514 —
Paving Paving 3/27/2028 4/26/2028 5.00 23.0 —
Architectural Coating Architectural Coating 4/27/2028 5/29/2028 5.00 23.0 —
5.2. Off-Road Equipment
5.2.1. Unmitigated
Phase Name Equipment Type Fuel Type Engine Tier Number per Day Hours Per Day Horsepower Load Factor
Demolition Concrete/Industrial
Saws
Diesel Average 1.00 8.00 33.0 0.73
Demolition Rubber Tired Dozers Diesel Average 1.00 8.00 367 0.40
Demolition Tractors/Loaders/Back
hoes
Diesel Average 3.00 8.00 84.0 0.37
Site Preparation Graders Diesel Average 1.00 8.00 148 0.41
Site Preparation Scrapers Diesel Average 1.00 8.00 423 0.48
Site Preparation Tractors/Loaders/Back
hoes
Diesel Average 1.00 7.00 84.0 0.37
Grading Graders Diesel Average 1.00 8.00 148 0.41
Grading Rubber Tired Dozers Diesel Average 1.00 8.00 367 0.40
Grading Tractors/Loaders/Back
hoes
Diesel Average 2.00 7.00 84.0 0.37
Building Construction Cranes Diesel Average 1.00 8.00 367 0.29
Building Construction Forklifts Diesel Average 2.00 7.00 82.0 0.20
Building Construction Generator Sets Diesel Average 1.00 8.00 14.0 0.74
Building Construction Tractors/Loaders/Back
hoes
Diesel Average 1.00 6.00 84.0 0.37
Building Construction Welders Diesel Average 3.00 8.00 46.0 0.45
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0.5610.08.001.00AverageDieselPaving Cement and Mortar
Mixers
Paving Pavers Diesel Average 1.00 8.00 81.0 0.42
Paving Paving Equipment Diesel Average 1.00 8.00 89.0 0.36
Paving Rollers Diesel Average 2.00 8.00 36.0 0.38
Paving Tractors/Loaders/Back
hoes
Diesel Average 1.00 8.00 84.0 0.37
Architectural Coating Air Compressors Diesel Average 1.00 6.00 37.0 0.48
5.3. Construction Vehicles
5.3.1. Unmitigated
Phase Name Trip Type One-Way Trips per Day Miles per Trip Vehicle Mix
Demolition ————
Demolition Worker 12.5 18.5 LDA,LDT1,LDT2
Demolition Vendor — 10.2 HHDT,MHDT
Demolition Hauling 0.00 20.0 HHDT
Demolition Onsite truck — — HHDT
SitePreparation————
Site Preparation Worker 7.50 18.5 LDA,LDT1,LDT2
Site Preparation Vendor — 10.2 HHDT,MHDT
Site Preparation Hauling 0.00 20.0 HHDT
Site Preparation Onsite truck — — HHDT
Grading ————
Grading Worker 10.0 18.5 LDA,LDT1,LDT2
Grading Vendor — 10.2 HHDT,MHDT
Grading Hauling 401 20.0 HHDT
Grading Onsite truck — — HHDT
Building Construction ————
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Building Construction Worker 199 18.5 LDA,LDT1,LDT2
Building Construction Vendor 46.4 10.2 HHDT,MHDT
Building Construction Hauling 0.00 20.0 HHDT
Building Construction Onsite truck — — HHDT
Paving————
Paving Worker 15.0 18.5 LDA,LDT1,LDT2
Paving Vendor — 10.2 HHDT,MHDT
Paving Hauling 0.00 20.0 HHDT
Paving Onsite truck — — HHDT
Architectural Coating ————
Architectural Coating Worker 39.8 18.5 LDA,LDT1,LDT2
Architectural Coating Vendor — 10.2 HHDT,MHDT
Architectural Coating Hauling 0.00 20.0 HHDT
Architectural Coating Onsite truck — — HHDT
5.4. Vehicles
5.4.1. Construction Vehicle Control Strategies
Non-applicable. No control strategies activated by user.
5.5. Architectural Coatings
Phase Name Residential Interior Area
Coated (sq ft)
Residential Exterior Area
Coated (sq ft)
Non-Residential Interior Area
Coated (sq ft)
Non-Residential Exterior Area
Coated (sq ft)
Parking Area Coated (sq ft)
5.6. Dust Mitigation
5.6.1. Construction Earthmoving Activities
Phase Name Material Imported (cy)Material Exported (cy)Acres Graded (acres)Material Demolished (Ton of
Debris)
Acres Paved (acres)
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Demolition 0.00 0.00 0.00 0.00 —
Site Preparation — — 10.5 0.00 —
Grading — 44,870 6.00 0.00 —
Paving 0.00 0.00 0.00 0.00 0.00
5.6.2. Construction Earthmoving Control Strategies
Non-applicable. No control strategies activated by user.
5.7. Construction Paving
Land Use Area Paved (acres)% Asphalt
Apartments Mid Rise — 0%
Enclosed Parking with Elevator 0.00 100%
City Park 0.00 0%
User Defined Recreational 0.00 0%
Strip Mall 0.00 0%
General Office Building 0.00 0%
5.8. Construction Electricity Consumption and Emissions Factors
kWh per Year and Emission Factor (lb/MWh)
Year kWh per Year CO2 CH4 N2O
2026 0.00 532 0.03 < 0.005
2027 0.00 532 0.03 < 0.005
2028 0.00 532 0.03 < 0.005
5.9. Operational Mobile Sources
5.9.1. Unmitigated
Land Use Type Trips/Weekday Trips/Saturday Trips/Sunday Trips/Year VMT/Weekday VMT/Saturday VMT/Sunday VMT/Year
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Apartments Mid
Rise
985 889 740 341,650 8,659 7,815 6,510 3,004,398
Enclosed Parking
with Elevator
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
City Park 0.78 1.96 2.19 420 7.15 18.0 20.1 3,848
User Defined
Recreational
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Strip Mall 177 168 81.7 59,249 1,625 1,542 749 543,218
General Office
Building
48.7 11.1 3.50 13,455 447 101 32.1 123,365
5.10. Operational Area Sources
5.10.1. Hearths
5.10.1.1. Unmitigated
Hearth Type Unmitigated (number)
Apartments Mid Rise —
Wood Fireplaces 9
Gas Fireplaces 154
Propane Fireplaces 0
Electric Fireplaces 0
No Fireplaces 18
Conventional Wood Stoves 0
Catalytic Wood Stoves 9
Non-Catalytic Wood Stoves 9
Pellet Wood Stoves 0
5.10.2. Architectural Coatings
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Parking Area Coated (sq ft)Residential Interior Area Coated (sq
ft)
Residential Exterior Area Coated (sq
ft)
Non-Residential Interior Area Coated
(sq ft)
Non-Residential Exterior Area
Coated (sq ft)
—————
5.10.3. Landscape Equipment
Season Unit Value
Snow Days day/yr 0.00
Summer Days day/yr 250
5.11. Operational Energy Consumption
5.11.1. Unmitigated
Electricity (kWh/yr) and CO2 and CH4 and N2O and Natural Gas (kBTU/yr)
Land Use Electricity (kWh/yr)CO2 CH4 N2O Natural Gas (kBTU/yr)
Apartments Mid Rise 663,516 532 0.0330 0.0040 2,010,339
Enclosed Parking with
Elevator
558,144 532 0.0330 0.0040 0.00
City Park 0.00 532 0.0330 0.0040 0.00
User Defined Recreational 0.00 532 0.0330 0.0040 0.00
Strip Mall 39,285 532 0.0330 0.0040 23,948
General Office Building 89,101 532 0.0330 0.0040 126,732
5.12. Operational Water and Wastewater Consumption
5.12.1. Unmitigated
Land Use Indoor Water (gal/year)Outdoor Water (gal/year)
Apartments Mid Rise 6,746,558 34,282
Enclosed Parking with Elevator 0.00 0.00
City Park 0.00 680,192
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User Defined Recreational 0.00 31,166
Strip Mall 296,290 11,220
General Office Building 888,669 14,025
5.13. Operational Waste Generation
5.13.1. Unmitigated
Land Use Waste (ton/year)Cogeneration (kWh/year)
Apartments Mid Rise 134 —
Enclosed Parking with Elevator 0.00 —
City Park 0.09 —
User Defined Recreational 0.00 —
Strip Mall 4.20 —
General Office Building 4.65 —
5.14. Operational Refrigeration and Air Conditioning Equipment
5.14.1. Unmitigated
Land Use Type Equipment Type Refrigerant GWP Quantity (kg)Operations Leak Rate Service Leak Rate Times Serviced
Apartments Mid Rise Average room A/C &
Other residential A/C
and heat pumps
R-410A 2,088 < 0.005 2.50 2.50 10.0
Apartments Mid Rise Household
refrigerators and/or
freezers
R-134a 1,430 0.12 0.60 0.00 1.00
City Park Other commercial A/C
and heat pumps
R-410A 2,088 < 0.005 4.00 4.00 18.0
City Park Stand-alone retail
refrigerators and
freezers
R-134a 1,430 0.04 1.00 0.00 1.00
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18.04.004.00<0.0052,088R-410AStrip Mall Other commercial A/C
and heat pumps
Strip Mall Stand-alone retail
refrigerators and
freezers
R-134a 1,430 0.04 1.00 0.00 1.00
Strip Mall Walk-in refrigerators
and freezers
R-404A 3,922 < 0.005 7.50 7.50 20.0
General Office
Building
Household
refrigerators and/or
freezers
R-134a 1,430 0.02 0.60 0.00 1.00
General Office
Building
Other commercial A/C
and heat pumps
R-410A 2,088 < 0.005 4.00 4.00 18.0
5.15. Operational Off-Road Equipment
5.15.1. Unmitigated
Equipment Type Fuel Type Engine Tier Number per Day Hours Per Day Horsepower Load Factor
5.16. Stationary Sources
5.16.1. Emergency Generators and Fire Pumps
Equipment Type Fuel Type Number per Day Hours per Day Hours per Year Horsepower Load Factor
5.16.2. Process Boilers
Equipment Type Fuel Type Number Boiler Rating (MMBtu/hr)Daily Heat Input (MMBtu/day)Annual Heat Input (MMBtu/yr)
5.17. User Defined
Equipment Type Fuel Type
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5.18. Vegetation
5.18.1. Land Use Change
5.18.1.1. Unmitigated
Vegetation Land Use Type Vegetation Soil Type Initial Acres Final Acres
5.18.1. Biomass Cover Type
5.18.1.1. Unmitigated
Biomass Cover Type Initial Acres Final Acres
5.18.2. Sequestration
5.18.2.1. Unmitigated
Tree Type Number Electricity Saved (kWh/year)Natural Gas Saved (btu/year)
6. Climate Risk Detailed Report
6.1. Climate Risk Summary
Cal-Adapt midcentury 2040–2059 average projections for four hazards are reported below for your project location. These are under Representation Concentration Pathway (RCP) 8.5 which
assumes GHG emissions will continue to rise strongly through 2050 and then plateau around 2100.
Climate Hazard Result for Project Location Unit
Temperature and Extreme Heat 25.9 annual days of extreme heat
Extreme Precipitation 9.15 annual days with precipitation above 20 mm
Sea Level Rise — meters of inundation depth
Wildfire 16.9 annual hectares burned
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Temperature and Extreme Heat data are for grid cell in which your project are located. The projection is based on the 98th historical percentile of daily maximum/minimum temperatures from
observed historical data (32 climate model ensemble from Cal-Adapt, 2040–2059 average under RCP 8.5). Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.
Extreme Precipitation data are for the grid cell in which your project are located. The threshold of 20 mm is equivalent to about ¾ an inch of rain, which would be light to moderate rainfall if
received over a full day or heavy rain if received over a period of 2 to 4 hours. Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.
Sea Level Rise data are for the grid cell in which your project are located. The projections are from Radke et al. (2017), as reported in Cal-Adapt (Radke et al., 2017, CEC-500-2017-008), and
consider inundation location and depth for the San Francisco Bay, the Sacramento-San Joaquin River Delta and California coast resulting different increments of sea level rise coupled with
extreme storm events. Users may select from four scenarios to view the range in potential inundation depth for the grid cell. The four scenarios are: No rise, 0.5 meter, 1.0 meter, 1.41 meters
Wildfire data are for the grid cell in which your project are located. The projections are from UC Davis, as reported in Cal-Adapt (2040–2059 average under RCP 8.5), and consider historical data
of climate, vegetation, population density, and large (> 400 ha) fire history. Users may select from four model simulations to view the range in potential wildfire probabilities for the grid cell. The
four simulations make different assumptions about expected rainfall and temperature are: Warmer/drier (HadGEM2-ES), Cooler/wetter (CNRM-CM5),Average conditions (CanESM2), Range of
different rainfall and temperature possibilities (MIROC5). Each grid cell is 6 kilometers (km) by 6 km, or 3.7 miles (mi) by 3.7 mi.
6.2. Initial Climate Risk Scores
Climate Hazard Exposure Score Sensitivity Score Adaptive Capacity Score Vulnerability Score
TemperatureandExtremeHeat300N/A
Extreme Precipitation N/A N/A N/A N/A
SeaLevelRise100N/A
Wildfire100N/A
Flooding N/A N/A N/A N/A
Drought N/A N/A N/A N/A
Snowpack Reduction N/A N/A N/A N/A
Air Quality Degradation 000N/A
The sensitivity score reflects the extent to which a project would be adversely affected by exposure to a climate hazard. Exposure is rated on a scale of 1 to 5, with a score of 5 representing the
greatest exposure.
The adaptive capacity of a project refers to its ability to manage and reduce vulnerabilities from projected climate hazards. Adaptive capacity is rated on a scale of 1 to 5, with a score of 5
representing the greatest ability to adapt.
The overall vulnerability scores are calculated based on the potential impacts and adaptive capacity assessments for each hazard. Scores do not include implementation of climate risk reduction
measures.
6.3. Adjusted Climate Risk Scores
Climate Hazard Exposure Score Sensitivity Score Adaptive Capacity Score Vulnerability Score
TemperatureandExtremeHeat3113
Extreme Precipitation N/A N/A N/A N/A
SeaLevelRise1112
Arcadia Town Center Detailed Report, 12/16/2024
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Wildfire1112
Flooding N/A N/A N/A N/A
Drought N/A N/A N/A N/A
Snowpack Reduction N/A N/A N/A N/A
Air Quality Degradation 1112
The sensitivity score reflects the extent to which a project would be adversely affected by exposure to a climate hazard. Exposure is rated on a scale of 1 to 5, with a score of 5 representing the
greatest exposure.
The adaptive capacity of a project refers to its ability to manage and reduce vulnerabilities from projected climate hazards. Adaptive capacity is rated on a scale of 1 to 5, with a score of 5
representing the greatest ability to adapt.
The overall vulnerability scores are calculated based on the potential impacts and adaptive capacity assessments for each hazard. Scores include implementation of climate risk reduction
measures.
6.4. Climate Risk Reduction Measures
7. Health and Equity Details
7.1. CalEnviroScreen 4.0 Scores
The maximum CalEnviroScreen score is 100. A high score (i.e., greater than 50) reflects a higher pollution burden compared to other census tracts in the state.
Indicator Result for Project Census Tract
Exposure Indicators —
AQ-Ozone 84.6
AQ-PM 70.7
AQ-DPM 57.7
Drinking Water 73.7
Lead Risk Housing 54.4
Pesticides 0.00
Toxic Releases 70.1
Traffic 80.3
Effect Indicators —
CleanUp Sites 74.9
Groundwater 0.00
Arcadia Town Center Detailed Report, 12/16/2024
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Haz Waste Facilities/Generators 59.8
Impaired Water Bodies 0.00
Solid Waste 70.4
Sensitive Population —
Asthma 6.04
Cardio-vascular 7.47
Low Birth Weights 7.29
Socioeconomic Factor Indicators —
Education 42.7
Housing 10.2
Linguistic 80.2
Poverty 27.9
Unemployment 45.8
7.2. Healthy Places Index Scores
The maximum Health Places Index score is 100. A high score (i.e., greater than 50) reflects healthier community conditions compared to other census tracts in the state.
Indicator Result for Project Census Tract
Economic —
Above Poverty 84.3320929
Employed 68.92082638
Median HI 57.88528166
Education —
Bachelor's or higher 80.67496471
High school enrollment 100
Preschool enrollment 84.88387014
Transportation —
Auto Access 70.20402926
Active commuting 5.915565251
Arcadia Town Center Detailed Report, 12/16/2024
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Social —
2-parent households 35.26241499
Voting 21.00603105
Neighborhood —
Alcohol availability 87.47593995
Park access 34.12036443
Retail density 39.49698447
Supermarket access 46.73424868
Tree canopy 66.75221352
Housing —
Homeownership 46.75991274
Housing habitability 43.07712049
Low-inc homeowner severe housing cost burden 33.1707943
Low-inc renter severe housing cost burden 70.48633389
Uncrowded housing 63.4800462
Health Outcomes —
Insured adults 52.11086873
Arthritis 0.0
Asthma ER Admissions 94.2
High Blood Pressure 0.0
Cancer (excluding skin)0.0
Asthma 0.0
Coronary Heart Disease 0.0
Chronic Obstructive Pulmonary Disease 0.0
Diagnosed Diabetes 0.0
Life Expectancy at Birth 97.0
Cognitively Disabled 87.2
Physically Disabled 80.2
Arcadia Town Center Detailed Report, 12/16/2024
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Heart Attack ER Admissions 84.0
Mental Health Not Good 0.0
Chronic Kidney Disease 0.0
Obesity 0.0
Pedestrian Injuries 97.1
Physical Health Not Good 0.0
Stroke 0.0
Health Risk Behaviors —
Binge Drinking 0.0
Current Smoker 0.0
No Leisure Time for Physical Activity 0.0
Climate Change Exposures —
Wildfire Risk 0.0
SLR Inundation Area 0.0
Children 84.9
Elderly 16.5
English Speaking 18.2
Foreign-born 95.7
Outdoor Workers 60.7
Climate Change Adaptive Capacity —
Impervious Surface Cover 34.1
Traffic Density 80.4
Traffic Access 23.0
Other Indices —
Hardship 23.2
Other Decision Support —
2016 Voting 20.4
Arcadia Town Center Detailed Report, 12/16/2024
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7.3. Overall Health & Equity Scores
Metric Result for Project Census Tract
CalEnviroScreen 4.0 Score for Project Location (a) 30.0
Healthy Places Index Score for Project Location (b) 65.0
Project Located in a Designated Disadvantaged Community (Senate Bill 535) No
Project Located in a Low-Income Community (Assembly Bill 1550) No
Project Located in a Community Air Protection Program Community (Assembly Bill 617) No
a: The maximum CalEnviroScreen score is 100. A high score (i.e., greater than 50) reflects a higher pollution burden compared to other census tracts in the state.
b: The maximum Health Places Index score is 100. A high score (i.e., greater than 50) reflects healthier community conditions compared to other census tracts in the state.
7.4. Health & Equity Measures
No Health & Equity Measures selected.
7.5. Evaluation Scorecard
Health & Equity Evaluation Scorecard not completed.
7.6. Health & Equity Custom Measures
No Health & Equity Custom Measures created.
8. User Changes to Default Data
Screen Justification
Land Use Consistent with IS/MND's model.
Construction: Construction Phases Consistent with information provided by the IS/MND.
Annual Emissions (tons/year) 0.06 Total DPM (lbs) 380
Daily Emissions (lbs/day) 0.328767123 Total DPM (g) 90729.86301
Construction Duration (days) 365 Emission Rate (g/s) 0.001438513
Total DPM (lbs) 120 Release Height (meters) 3
Total DPM (g) 54432 Total Acreage 2.27
Start Date 1/1/2026 Max Horizontal (meters) 135.55
End Date 1/1/2027 Min Horizontal (meters) 67.77
Construction Days 365 Initial Vertical Dimension (meters) 1.5
Setting Arcadia
Annual Emissions (tons/year) 0.04 Population 54,157
Daily Emissions (lbs/day) 0.219178082 Start Date 1/1/2026
Construction Duration (days) 365 End Date 1/1/2028
Total DPM (lbs) 80 Total Construction Days 730
Total DPM (g) 36288 Total Years of Construction 2.00
Start Date 1/1/2027 Total Years of Operation 28.00
End Date 1/1/2028
Construction Days 365
Annual Emissions (tons/year) 0.01
Daily Emissions (lbs/day) 0.054794521
Construction Duration (days) 180
Total DPM (lbs) 9.863013699
Total DPM (g) 4473.863014
Start Date 1/1/2028
End Date 6/29/2028
Construction Days 180
2028
2027
Construction
2026 Total
ƚƚĂĐŚŵĞŶƚ
Age Group Duration (years)Concentration (ug/m3)Cancer Risk
3rd Trimester 0.25 0.2670 3.63E-06
Infant (0 - 2) 1.75 0.2670 7.67E-05
Construction 2 8.04E-05
The Maximally Exposed Individual at an Existing Residential Receptor During Project Construction
AERSCREEN21112/AERMOD21112 12/16/24
14:10:10
TITLE:ArcadiaTownCenter,Construction
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
******************************AREAPARAMETERS****************************
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
SOURCEEMISSIONRATE: 0.144EŞ02g/s 0.114EŞ01lb/hr
AREAEMISSIONRATE: 0.157EŞ06g/(sŞm2) 0.124EŞ05lb/(hrŞm2)
AREAHEIGHT: 3.00meters 9.84feet
AREASOURCELONGSIDE: 135.55meters 444.72feet
AREASOURCESHORTSIDE: 67.77meters 222.34feet
INITIALVERTICALDIMENSION: 1.50meters 4.92feet
RURALORURBAN: URBAN
POPULATION: 54157
INITIALPROBEDISTANCE= 5000.meters 16404.feet
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
***********************BUILDINGDOWNWASHPARAMETERS**********************
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
BUILDINGDOWNWASHNOTUSEDFORNONŞPOINTSOURCES
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
**************************FLOWSECTORANALYSIS***************************
25meterreceptorspacing:1.metersŞ5000.meters
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
MAXIMUMIMPACTRECEPTOR
Zo SURFACE1ŞHRCONCRADIALDISTTEMPORAL
SECTORROUGHNESS(ug/m3)(deg)(m)PERIOD
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
1*1.0004.3412075.0WIN
*=worstcasediagonal
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
ƚƚĂĐŚŵĞŶƚ
**********************MAKEMETMETEOROLOGYPARAMETERS*********************
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
MIN/MAXTEMPERATURE:250.0/310.0(K)
MINIMUMWINDSPEED: 0.5m/s
ANEMOMETERHEIGHT:10.000meters
SURFACECHARACTERISTICSINPUT:AERMETSEASONALTABLES
DOMINANTSURFACEPROFILE:Urban
DOMINANTCLIMATETYPE:AverageMoisture
DOMINANTSEASON: Winter
ALBEDO: 0.35
BOWENRATIO: 1.50
ROUGHNESSLENGTH: 1.000(meters)
SURFACEFRICTIONVELOCITY(U*)NOTADUSTED
METEOROLOGYCONDITIONSUSEDTOPREDICTOVERALLMAXIMUMIMPACT
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
YRMODYJDYHR
ŞŞŞŞŞŞŞŞŞŞŞ
1001101001
H0U*W*DT/DZZICNVZIMCHMŞOLENZ0BOWENALBEDOREFWS
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
Ş1.300.043Ş9.0000.020Ş999.21.6.01.0001.500.350.50
HTREFTAHT
ŞŞŞŞŞŞŞŞŞŞŞ
10.0310.02.0
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
************************AERSCREENAUTOMATEDDISTANCES**********************
OVERALLMAXIMUMCONCENTRATIONSBYDISTANCE
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
MAXIMUM MAXIMUM
DIST1ŞHRCONC DIST1ŞHRCONC
(m) (ug/m3) (m) (ug/m3)
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
1.003.331 2525.000.3360EŞ01
25.003.828 2550.000.3315EŞ01
50.004.210 2575.000.3271EŞ01
75.004.341 2600.000.3228EŞ01
100.002.670 2625.000.3186EŞ01
125.001.980 2650.000.3145EŞ01
150.001.551 2675.000.3104EŞ01
175.001.260 2700.000.3065EŞ01
200.001.053 2725.000.3027EŞ01
225.000.8974 2750.000.2989EŞ01
250.000.7785 2775.000.2952EŞ01
275.000.6845 2800.000.2916EŞ01
300.000.6082 2825.000.2881EŞ01
325.000.5458 2850.000.2846EŞ01
350.000.4940 2875.000.2813EŞ01
375.000.4496 2900.000.2779EŞ01
400.000.4119 2925.000.2747EŞ01
425.000.3795 2950.000.2715EŞ01
450.000.3511 2975.000.2684EŞ01
475.000.3263 3000.000.2653EŞ01
500.000.3044 3025.000.2623EŞ01
525.000.2849 3050.000.2594EŞ01
550.000.2674 3075.000.2565EŞ01
575.000.2518 3100.000.2537EŞ01
600.000.2376 3125.000.2509EŞ01
625.000.2247 3150.000.2482EŞ01
650.000.2130 3175.000.2455EŞ01
675.000.2023 3200.000.2429EŞ01
700.000.1926 3225.000.2403EŞ01
725.000.1836 3250.000.2378EŞ01
750.000.1753 3275.000.2353EŞ01
775.000.1677 3300.000.2329EŞ01
800.000.1606 3325.000.2305EŞ01
825.000.1540 3350.000.2282EŞ01
850.000.1479 3375.000.2258EŞ01
875.000.1422 3400.000.2236EŞ01
900.000.1368 3425.000.2213EŞ01
925.000.1318 3450.000.2192EŞ01
950.000.1270 3475.000.2170EŞ01
975.000.1226 3500.000.2149EŞ01
1000.000.1185 3525.000.2128EŞ01
1025.000.1145 3550.000.2107EŞ01
1050.000.1108 3575.000.2087EŞ01
1075.000.1073 3600.000.2068EŞ01
1100.000.1040 3625.000.2048EŞ01
1125.000.1009 3650.000.2029EŞ01
1150.000.9792EŞ01 3675.000.2010EŞ01
1175.000.9510EŞ01 3700.000.1991EŞ01
1200.000.9242EŞ01 3725.000.1973EŞ01
1225.000.8986EŞ01 3750.000.1955EŞ01
1250.000.8742EŞ01 3775.000.1938EŞ01
1275.000.8570EŞ013800.000.1920EŞ01
1300.000.8344EŞ013825.000.1903EŞ01
1325.000.8129EŞ013850.000.1886EŞ01
1350.000.7923EŞ013875.000.1869EŞ01
1375.000.7726EŞ013900.000.1853EŞ01
1400.000.7538EŞ013925.000.1837EŞ01
1425.000.7357EŞ013950.000.1821EŞ01
1450.000.7184EŞ013975.000.1805EŞ01
1475.000.7017EŞ014000.000.1790EŞ01
1500.000.6857EŞ014025.000.1775EŞ01
1525.000.6704EŞ014050.000.1760EŞ01
1550.000.6556EŞ014075.000.1745EŞ01
1575.000.6414EŞ014100.000.1731EŞ01
1600.000.6277EŞ014125.000.1716EŞ01
1625.000.6145EŞ014150.000.1702EŞ01
1650.000.6017EŞ014175.000.1688EŞ01
1675.000.5895EŞ014200.000.1674EŞ01
1700.000.5776EŞ014225.000.1661EŞ01
1725.000.5662EŞ014250.000.1648EŞ01
1750.000.5551EŞ014275.000.1634EŞ01
1775.000.5444EŞ014300.000.1621EŞ01
1800.000.5341EŞ014325.000.1609EŞ01
1824.990.5241EŞ014350.000.1596EŞ01
1850.000.5144EŞ014375.000.1584EŞ01
1875.000.5050EŞ014400.000.1571EŞ01
1900.000.4960EŞ014425.000.1559EŞ01
1924.990.4871EŞ014450.000.1547EŞ01
1950.000.4786EŞ014475.000.1535EŞ01
1975.000.4703EŞ014500.000.1524EŞ01
2000.000.4623EŞ014525.000.1512EŞ01
2025.000.4545EŞ014550.000.1501EŞ01
2050.000.4469EŞ014575.000.1490EŞ01
2075.000.4396EŞ014600.000.1479EŞ01
2100.000.4324EŞ014625.000.1468EŞ01
2125.000.4255EŞ014650.000.1457EŞ01
2150.000.4187EŞ014675.000.1446EŞ01
2175.000.4121EŞ014700.000.1436EŞ01
2200.000.4057EŞ014725.000.1425EŞ01
2225.000.3995EŞ014750.000.1415EŞ01
2250.000.3934EŞ014775.000.1405EŞ01
2275.000.3875EŞ014800.000.1395EŞ01
2300.000.3818EŞ014825.000.1385EŞ01
2325.000.3761EŞ014850.000.1375EŞ01
2350.000.3707EŞ014875.000.1366EŞ01
2375.000.3653EŞ014900.000.1356EŞ01
2400.000.3601EŞ014925.000.1347EŞ01
2425.000.3551EŞ014950.000.1337EŞ01
2450.000.3501EŞ014975.000.1328EŞ01
2475.000.3453EŞ015000.000.1319EŞ01
2500.000.3406EŞ01
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
**********************AERSCREENMAXIMUMIMPACTSUMMARY*********************
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
3Şhour,8Şhour,and24Şhourscaled
concentrationsareequaltothe1Şhourconcentrationasreferencedin
SCREENINGPROCEDURESFORESTIMATINGTHEAIRQUALITY
IMPACTOFSTATIONARYSOURCES,REVISED(Section4.5.4)
ReportnumberEPAŞ454/RŞ92Ş019
http://www.epa.gov/scram001/guidance_permit.htm
underScreeningGuidance
MAXIMUMSCALEDSCALEDSCALEDSCALED
1ŞHOUR3ŞHOUR8ŞHOUR24ŞHOURANNUAL
CALCULATION CONC CONC CONC CONC CONC
PROCEDURE (ug/m3)(ug/m3)(ug/m3)(ug/m3)(ug/m3)
ŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞŞ
FLATTERRAIN 4.436 4.436 4.436 4.436 N/A
DISTANCEFROMSOURCE 72.00meters
IMPACTATTHE
AMBIENTBOUNDARY3.331 3.331 3.331 3.331 N/A
DISTANCEFROMSOURCE 1.00meters
2656 29th Street, Suite 201
Santa Monica, CA 90405
Matt Hagemann, P.G, C.Hg.
(949) 887-9013
mhagemann@swape.com
Matthew F. Hagemann, P.G., C.Hg., QSD, QSP
Geologic and Hydrogeologic Characterization
Investigation and Remediation Strategies
Litigation Support and Testifying Expert
Industrial Stormwater Compliance
CEQA Review
Education:
M.S. Degree, Geology, California State University Los Angeles, Los Angeles, CA, 1984.
B.A.Degree, Geology, Humboldt State University, Arcata, CA, 1982.
Professional Certifications:
California Professional Geologist
California Certified Hydrogeologist
Qualified SWPPP Developer and Practitioner
Professional Experience:
Matt has 30 years of experience in environmental policy, contaminant assessment and remediation,
stormwater compliance, and CEQA review. He spent nine years with the U.S. EPA in the RCRA and
Superfund programs and served as EPA’s Senior Science Policy Advisor in the Western Regional
Office where he identified emerging threats to groundwater from perchlorate and MTBE. While with
EPA, Matt also served as a Senior Hydrogeologist in the oversight of the assessment of seven major
military facilities undergoing base closure. He led numerous enforcement actions under provisions of
the Resource Conservation and Recovery Act (RCRA) and directed efforts to improve hydrogeologic
characterization and water quality monitoring. For the past 15 years, as a founding partner with SWAPE,
Matt has developed extensive client relationships and has managed complex projects that include
consultation as an expert witness and a regulatory specialist, and a manager of projects ranging from
industrial stormwater compliance to CEQA review of impacts from hazardous waste, air quality and
greenhouse gas emissions.
Positions Matt has held include:
x Founding Partner, Soil/Water/Air Protection Enterprise (SWAPE) (2003 – present);
x Geology Instructor, Golden West College, 2010 – 2104, 2017;
x Senior Environmental Analyst, Komex H2O Science, Inc. (2000 -- 2003);
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x Executive Director, Orange Coast Watch (2001 – 2004);
x Senior Science Policy Advisor and Hydrogeologist, U.S. Environmental Protection Agency (1989–
1998);
x Hydrogeologist, National Park Service, Water Resources Division (1998 – 2000);
x Adjunct Faculty Member, San Francisco State University, Department of Geosciences (1993 –
1998);
x Instructor, College of Marin, Department of Science (1990 – 1995);
x Geologist, U.S. Forest Service (1986 – 1998); and
x Geologist, Dames & Moore (1984 – 1986).
Senior Regulatory and Litigation Support Analyst:
With SWAPE, Matt’s responsibilities have included:
x Lead analyst and testifying expert in the review of over 300 environmental impact reports
and negative declarations since 2003 under CEQA that identify significant issues with regard
to hazardous waste, water resources, water quality, air quality, greenhouse gas emissions,
and geologic hazards. Make recommendations for additional mitigation measures to lead
agencies at the local and county level to include additional characterization of health risks
and implementation of protective measures to reduce worker exposure to hazards from
toxins and Valley Fever.
x Stormwater analysis, sampling and best management practice evaluation at more than 100 industrial
facilities.
x Expert witness on numerous cases including, for example, perfluorooctanoic acid (PFOA)
contamination of groundwater, MTBE litigation, air toxins at hazards at a school, CERCLA
compliance in assessment and remediation, and industrial stormwater contamination.
x Technical assistance and litigation support for vapor intrusion concerns.
x Lead analyst and testifying expert in the review of environmental issues in license applications
for large solar power plants before the California Energy Commission.
x Manager of a project to evaluate numerous formerly used military sites in the western U.S.
x Manager of a comprehensive evaluation of potential sources of perchlorate contamination in
Southern California drinking water wells.
x Manager and designated expert for litigation support under provisions of Proposition 65 in the
review of releases of gasoline to sources drinking water at major refineries and hundreds of gas
stations throughout California.
With Komex H2O Science Inc., Matt’s duties included the following:
x Senior author of a report on the extent of perchlorate contamination that was used in testimony
by the former U.S. EPA Administrator and General Counsel.
x Senior researcher in the development of a comprehensive, electronically interactive chronology
of MTBE use, research, and regulation.
x Senior researcher in the development of a comprehensive, electronically interactive chronology
of perchlorate use, research, and regulation.
x Senior researcher in a study that estimates nationwide costs for MTBE remediation and drinking
water treatment, results of which were published in newspapers nationwide and in testimony
against provisions of an energy bill that would limit liability for oil companies.
x Research to support litigation to restore drinking water supplies that have been contaminated by
MTBE in California and New York.
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x Expert witness testimony in a case of oil production-related contamination in Mississippi.
x Lead author for a multi-volume remedial investigation report for an operating school in Los
Angeles that met strict regulatory requirements and rigorous deadlines.
x Development of strategic approaches for cleanup of contaminated sites in consultation with
clients and regulators.
Executive Director:
As Executive Director with Orange Coast Watch, Matt led efforts to restore water quality at Orange
County beaches from multiple sources of contamination including urban runoff and the discharge of
wastewater. In reporting to a Board of Directors that included representatives from leading Orange
County universities and businesses, Matt prepared issue papers in the areas of treatment and disinfection
of wastewater and control of the discharge of grease to sewer systems. Matt actively participated in the
development of countywide water quality permits for the control of urban runoff and permits for the
discharge of wastewater. Matt worked with other nonprofits to protect and restore water quality, including
Surfrider, Natural Resources Defense Council and Orange County CoastKeeper as well as with business
institutions including the Orange County Business Council.
Hydrogeology:
As a Senior Hydrogeologist with the U.S. Environmental Protection Agency, Matt led investigations to
characterize and cleanup closing military bases, including Mare Island Naval Shipyard, Hunters Point
Naval Shipyard, Treasure Island Naval Station, Alameda Naval Station, Moffett Field, Mather Army
Airfield, and Sacramento Army Depot. Specific activities were as follows:
x Led efforts to model groundwater flow and contaminant transport, ensured adequacy of
monitoring networks, and assessed cleanup alternatives for contaminated sediment, soil, and
groundwater.
x Initiated a regional program for evaluation of groundwater sampling practices and laboratory
analysis at military bases.
x Identified emerging issues, wrote technical guidance, and assisted in policy and regulation
development through work on four national U.S. EPA workgroups, including the Superfund
Groundwater Technical Forum and the Federal Facilities Forum.
At the request of the State of Hawaii, Matt developed a methodology to determine the vulnerability of
groundwater to contamination on the islands of Maui and Oahu. He used analytical models and a GIS to
show zones of vulnerability, and the results were adopted and published by the State of Hawaii and
County of Maui.
As a hydrogeologist with the EPA Groundwater Protection Section, Matt worked with provisions of the
Safe Drinking Water Act and NEPA to prevent drinking water contamination. Specific activities included
the following:
x Received an EPA Bronze Medal for his contribution to the development of national guidance for
the protection of drinking water.
x Managed the Sole Source Aquifer Program and protected the drinking water of two communities
through designation under the Safe Drinking Water Act. He prepared geologic reports, conducted
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public hearings, and responded to public comments from residents who were very concerned
about the impact of designation.
x Reviewed a number of Environmental Impact Statements for planned major developments,
including large hazardous and solid waste disposal facilities, mine reclamation, and water
transfer.
Matt served as a hydrogeologist with the RCRA Hazardous Waste program. Duties were as follows:
x Supervised the hydrogeologic investigation of hazardous waste sites to determine compliance
with Subtitle C requirements.
x Reviewed and wrote "part B" permits for the disposal of hazardous waste.
x Conducted RCRA Corrective Action investigations of waste sites and led inspections that formed
the basis for significant enforcement actions that were developed in close coordination with U.S.
EPA legal counsel.
x Wrote contract specifications and supervised contractor’s investigations of waste sites.
With the National Park Service, Matt directed service-wide investigations of contaminant sources to
prevent degradation of water quality, including the following tasks:
x Applied pertinent laws and regulations including CERCLA, RCRA, NEPA, NRDA, and the
Clean Water Act to control military, mining, and landfill contaminants.
x Conducted watershed-scale investigations of contaminants at parks, including Yellowstone and
Olympic National Park.
x Identified high-levels of perchlorate in soil adjacent to a national park in New Mexico
and advised park superintendent on appropriate response actions under CERCLA.
x Served as a Park Service representative on the Interagency Perchlorate Steering Committee, a
national workgroup.
x Developed a program to conduct environmental compliance audits of all National Parks while
serving on a national workgroup.
x Co-authored two papers on the potential for water contamination from the operation of personal
watercraft and snowmobiles, these papers serving as the basis for the development of nation-
wide policy on the use of these vehicles in National Parks.
x Contributed to the Federal Multi-Agency Source Water Agreement under the Clean Water
Action Plan.
Policy:
Served senior management as the Senior Science Policy Advisor with the U.S. Environmental Protection
Agency, Region 9.
Activities included the following:
x Advised the Regional Administrator and senior management on emerging issues such as the
potential for the gasoline additive MTBE and ammonium perchlorate to contaminate drinking
water supplies.
x Shaped EPA’s national response to these threats by serving on workgroups and by contributing
to guidance, including the Office of Research and Development publication, Oxygenates in
Water: Critical Information and Research Needs.
x Improved the technical training of EPA's scientific and engineering staff.
x Earned an EPA Bronze Medal for representing the region’s 300 scientists and engineers in
negotiations with the Administrator and senior management to better integrate scientific
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principles into the policy-making process.
x Established national protocol for the peer review of scientific documents.
Geology:
With the U.S. Forest Service, Matt led investigations to determine hillslope stability of areas proposed for
timber harvest in the central Oregon Coast Range. Specific activities were as follows:
x Mapped geology in the field, and used aerial photographic interpretation and mathematical
models to determine slope stability.
x Coordinated his research with community members who were concerned with natural resource
protection.
x Characterized the geology of an aquifer that serves as the sole source of drinking water for the
city of Medford, Oregon.
As a consultant with Dames and Moore, Matt led geologic investigations of two contaminated sites (later
listed on the Superfund NPL) in the Portland, Oregon, area and a large hazardous waste site in eastern
Oregon. Duties included the following:
x Supervised year-long effort for soil and groundwater sampling.
x Conducted aquifer tests.
x Investigated active faults beneath sites proposed for hazardous waste disposal.
Teaching:
From 1990 to 1998, Matt taught at least one course per semester at the community college and university
levels:
x At San Francisco State University, held an adjunct faculty position and taught courses in
environmental geology, oceanography (lab and lecture), hydrogeology, and groundwater
contamination.
x Served as a committee member for graduate and undergraduate students.
x Taught courses in environmental geology and oceanography at the College of Marin.
Matt is currently a part time geology instructor at Golden West College in Huntington Beach, California
where he taught from 2010 to 2014 and in 2017.
Invited Testimony, Reports, Papers and Presentations:
Hagemann, M.F., 2008. Disclosure of Hazardous Waste Issues under CEQA. Presentation to the Public
Environmental Law Conference, Eugene, Oregon.
Hagemann, M.F., 2008. Disclosure of Hazardous Waste Issues under CEQA. Invited presentation to U.S.
EPA Region 9, San Francisco, California.
Hagemann, M.F., 2005. Use of Electronic Databases in Environmental Regulation, Policy Making and
Public Participation. Brownfields 2005, Denver, Coloradao.
Hagemann, M.F., 2004. Perchlorate Contamination of the Colorado River and Impacts to Drinking Water
in Nevada and the Southwestern U.S. Presentation to a meeting of the American Groundwater Trust, Las
Vegas, NV (served on conference organizing committee).
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Hagemann, M.F., 2004. Invited testimony to a California Senate committee hearing on air toxins at
schools in Southern California, Los Angeles.
Brown, A., Farrow, J., Gray, A. and Hagemann, M., 2004. An Estimate of Costs to Address MTBE
Releases from Underground Storage Tanks and the Resulting Impact to Drinking Water Wells.
Presentation to the Ground Water and Environmental Law Conference, National Groundwater
Association.
Hagemann, M.F., 2004. Perchlorate Contamination of the Colorado River and Impacts to Drinking Water
in Arizona and the Southwestern U.S. Presentation to a meeting of the American Groundwater Trust,
Phoenix, AZ (served on conference organizing committee).
Hagemann, M.F., 2003. Perchlorate Contamination of the Colorado River and Impacts to Drinking Water
in the Southwestern U.S. Invited presentation to a special committee meeting of the National Academy
of Sciences, Irvine, CA.
Hagemann, M.F., 2003. Perchlorate Contamination of the Colorado River. Invited presentation to a
tribal EPA meeting, Pechanga, CA.
Hagemann, M.F., 2003. Perchlorate Contamination of the Colorado River. Invited presentation to a
meeting of tribal repesentatives, Parker, AZ.
Hagemann, M.F., 2003. Impact of Perchlorate on the Colorado River and Associated Drinking Water
Supplies. Invited presentation to the Inter-Tribal Meeting, Torres Martinez Tribe.
Hagemann, M.F., 2003. The Emergence of Perchlorate as a Widespread Drinking Water Contaminant.
Invited presentation to the U.S. EPA Region 9.
Hagemann, M.F., 2003. A Deductive Approach to the Assessment of Perchlorate Contamination. Invited
presentation to the California Assembly Natural Resources Committee.
Hagemann, M.F., 2003. Perchlorate: A Cold War Legacy in Drinking Water. Presentation to a meeting of
the National Groundwater Association.
Hagemann, M.F., 2002. From Tank to Tap: A Chronology of MTBE in Groundwater. Presentation to a
meeting of the National Groundwater Association.
Hagemann, M.F., 2002. A Chronology of MTBE in Groundwater and an Estimate of Costs to Address
Impacts to Groundwater. Presentation to the annual meeting of the Society of Environmental
Journalists.
Hagemann, M.F., 2002. An Estimate of the Cost to Address MTBE Contamination in Groundwater
(and Who Will Pay). Presentation to a meeting of the National Groundwater Association.
Hagemann, M.F., 2002. An Estimate of Costs to Address MTBE Releases from Underground Storage
Tanks and the Resulting Impact to Drinking Water Wells. Presentation to a meeting of the U.S. EPA and
State Underground Storage Tank Program managers.
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Hagemann, M.F., 2001. From Tank to Tap: A Chronology of MTBE in Groundwater. Unpublished
report.
Hagemann, M.F., 2001. Estimated Cleanup Cost for MTBE in Groundwater Used as Drinking Water.
Unpublished report.
Hagemann, M.F., 2001. Estimated Costs to Address MTBE Releases from Leaking Underground Storage
Tanks. Unpublished report.
Hagemann, M.F., and VanMouwerik, M., 1999. Potential W a t e r Quality Concerns Related
to Snowmobile Usage. Water Resources Division, National Park Service, Technical Report.
VanMouwerik, M. and Hagemann, M.F. 1999, Water Quality Concerns Related to Personal Watercraft
Usage. Water Resources Division, National Park Service, Technical Report.
Hagemann, M.F., 1999, Is Dilution the Solution to Pollution in National Parks? The George Wright
Society Biannual Meeting, Asheville, North Carolina.
Hagemann, M.F., 1997, The Potential for MTBE to Contaminate Groundwater. U.S. EPA Superfund
Groundwater Technical Forum Annual Meeting, Las Vegas, Nevada.
Hagemann, M.F., and Gill, M., 1996, Impediments to Intrinsic Remediation, Moffett Field Naval Air
Station, Conference on Intrinsic Remediation of Chlorinated Hydrocarbons, Salt Lake City.
Hagemann, M.F., Fukunaga, G.L., 1996, The Vulnerability of Groundwater to Anthropogenic
Contaminants on the Island of Maui, Hawaii. Hawaii Water Works Association Annual Meeting, Maui,
October 1996.
Hagemann, M. F., Fukanaga, G. L., 1996, Ranking Groundwater Vulnerability in Central Oahu,
Hawaii. Proceedings, Geographic Information Systems in Environmental Resources Management, Air
and Waste Management Association Publication VIP-61.
Hagemann, M.F., 1994. Groundwater Ch ar ac te r i z a t i o n and Cl ean up a t Closing Military Bases
in California. Proceedings, California Groundwater Resources Association Meeting.
Hagemann, M.F. and Sabol, M.A., 1993. Role of the U.S. EPA in the High Plains States Groundwater
Recharge Demonstration Program. Proceedings, Sixth Biennial Symposium on the Artificial Recharge of
Groundwater.
Hagemann, M.F., 1993. U.S. EPA Policy on the Technical Impracticability of the Cleanup of DNAPL-
contaminated Groundwater. California Groundwater Resources Association Meeting.
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Hagemann, M.F., 1992. Dense Nonaqueous Phase Liquid Contamination of Groundwater: An Ounce of
Prevention... Proceedings, Association of Engineering Geologists Annual Meeting, v. 35.
Other Experience:
Selected as subject matter expert for the California Professional Geologist licensing examinations,
2009-2011.
SOIL WATER AIR PROTECTION ENTERPRISE
2656 29th Street, Suite 201
Santa Monica, California 90405
Attn: Paul Rosenfeld, Ph.D.
Mobil: (310) 795-2335
Office: (310) 452-5555
Fax: (310) 452-5550
Email: prosenfeld@swape.com
Paul E. Rosenfeld, Ph.D. Page 1 of 12 October 2022
Paul Rosenfeld, Ph.D.Chemical Fate and Transport & Air Dispersion Modeling
Principal Environmental Chemist Risk Assessment & Remediation Specialist
Education
Ph.D. Soil Chemistry, University of Washington, 1999. Dissertation on volatile organic compound filtration.
M.S. Environmental Science, U.C. Berkeley, 1995. Thesis on organic waste economics.
B.A. Environmental Studies, U.C. Santa Barbara, 1991. Focus on wastewater treatment.
Professional Experience
Dr. Rosenfeld has over 25 years of experience conducting environmental investigations and risk assessments for
evaluating impacts to human health, property, and ecological receptors. His expertise focuses on the fate and
transport of environmental contaminants, human health risk, exposure assessment, and ecological restoration. Dr.
Rosenfeld has evaluated and modeled emissions from oil spills, landfills, boilers and incinerators, process stacks,
storage tanks, confined animal feeding operations, industrial, military and agricultural sources, unconventional oil
drilling operations, and locomotive and construction engines. His project experience ranges from monitoring and
modeling of pollution sources to evaluating impacts of pollution on workers at industrial facilities and residents in
surrounding communities. Dr. Rosenfeld has also successfully modeled exposure to contaminants distributed by
water systems and via vapor intrusion.
Dr. Rosenfeld has investigated and designed remediation programs and risk assessments for contaminated sites
containing lead, heavy metals, mold, bacteria, particulate matter, petroleum hydrocarbons, chlorinated solvents,
pesticides, radioactive waste, dioxins and furans, semi- and volatile organic compounds, PCBs, PAHs, creosote,
perchlorate, asbestos, per- and poly-fluoroalkyl substances (PFOA/PFOS), unusual polymers, fuel oxygenates
(MTBE), among other pollutants. Dr. Rosenfeld also has experience evaluating greenhouse gas emissions from
various projects and is an expert on the assessment of odors from industrial and agricultural sites, as well as the
evaluation of odor nuisance impacts and technologies for abatement of odorous emissions. As a principal scientist
at SWAPE, Dr. Rosenfeld directs air dispersion modeling and exposure assessments. He has served as an expert
witness and testified about pollution sources causing nuisance and/or personal injury at sites and has testified as an
expert witness on numerous cases involving exposure to soil, water and air contaminants from industrial, railroad,
agricultural, and military sources.
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Paul E. Rosenfeld, Ph.D. Page 2 of 12 October 2022
Professional History:
Soil Water Air Protection Enterprise (SWAPE); 2003 to present; Principal and Founding Partner
UCLA School of Public Health; 2007 to 2011; Lecturer (Assistant Researcher)
UCLA School of Public Health; 2003 to 2006; Adjunct Professor
UCLA Environmental Science and Engineering Program; 2002-2004; Doctoral Intern Coordinator
UCLA Institute of the Environment, 2001-2002; Research Associate
Komex H2O Science, 2001 to 2003; Senior Remediation Scientist
National Groundwater Association, 2002-2004; Lecturer
San Diego State University, 1999-2001; Adjunct Professor
Anteon Corp., San Diego, 2000-2001; Remediation Project Manager
Ogden (now Amec), San Diego, 2000-2000; Remediation Project Manager
Bechtel, San Diego, California, 1999 – 2000; Risk Assessor
King County, Seattle, 1996 – 1999; Scientist
James River Corp., Washington, 1995-96; Scientist
Big Creek Lumber, Davenport, California, 1995; Scientist
Plumas Corp., California and USFS, Tahoe 1993-1995; Scientist
Peace Corps and World Wildlife Fund, St. Kitts, West Indies, 1991-1993; Scientist
Publications:
Rosenfeld P. E., Spaeth K., Hallman R., Bressler R., Smith, G., (2022) Cancer Risk and Diesel Exhaust Exposure
Among Railroad Workers. Water Air Soil Pollution. 233, 171.
Remy, L.L., Clay T., Byers, V., Rosenfeld P. E. (2019) Hospital, Health, and Community Burden After Oil
Refinery Fires, Richmond, California 2007 and 2012. Environmental Health. 18:48
Simons, R.A., Seo, Y. Rosenfeld, P., (2015) Modeling the Effect of Refinery Emission On Residential Property
Value. Journal of Real Estate Research. 27(3):321-342
Chen, J. A, Zapata A. R., Sutherland A. J., Molmen, D.R., Chow, B. S., Wu, L. E., Rosenfeld, P. E., Hesse, R. C.,
(2012) Sulfur Dioxide and Volatile Organic Compound Exposure To A Community In Texas City Texas Evaluated
Using Aermod and Empirical Data. American Journal of Environmental Science, 8(6), 622-632.
Rosenfeld, P.E. & Feng, L. (2011). The Risks of Hazardous Waste. Amsterdam: Elsevier Publishing.
Cheremisinoff, N.P., & Rosenfeld, P.E. (2011). Handbook of Pollution Prevention and Cleaner Production: Best
Practices in the Agrochemical Industry, Amsterdam: Elsevier Publishing.
Gonzalez, J., Feng, L., Sutherland, A., Waller, C., Sok, H., Hesse, R., Rosenfeld, P. (2010). PCBs and
Dioxins/Furans in Attic Dust Collected Near Former PCB Production and Secondary Copper Facilities in Sauget, IL.
Procedia Environmental Sciences. 113–125.
Feng, L., Wu, C., Tam, L., Sutherland, A.J., Clark, J.J., Rosenfeld, P.E. (2010). Dioxin and Furan Blood Lipid and
Attic Dust Concentrations in Populations Living Near Four Wood Treatment Facilities in the United States. Journal
of Environmental Health. 73(6), 34-46.
Cheremisinoff, N.P., & Rosenfeld, P.E. (2010). Handbook of Pollution Prevention and Cleaner Production: Best
Practices in the Wood and Paper Industries. Amsterdam: Elsevier Publishing.
Cheremisinoff, N.P., & Rosenfeld, P.E. (2009). Handbook of Pollution Prevention and Cleaner Production: Best
Practices in the Petroleum Industry. Amsterdam: Elsevier Publishing.
Paul E. Rosenfeld, Ph.D. Page 3 of 12 October 2022
Wu, C., Tam, L., Clark, J., Rosenfeld, P. (2009). Dioxin and furan blood lipid concentrations in populations living
near four wood treatment facilities in the United States. WIT Transactions on Ecology and the Environment, Air
Pollution, 123 (17), 319-327.
Tam L. K.., Wu C. D., Clark J. J. and Rosenfeld, P.E. (2008). A Statistical Analysis Of Attic Dust And Blood Lipid
Concentrations Of Tetrachloro-p-Dibenzodioxin (TCDD) Toxicity Equivalency Quotients (TEQ) In Two
Populations Near Wood Treatment Facilities. Organohalogen Compounds, 70, 002252-002255.
Tam L. K.., Wu C. D., Clark J. J. and Rosenfeld, P.E. (2008). Methods For Collect Samples For Assessing Dioxins
And Other Environmental Contaminants In Attic Dust: A Review. Organohalogen Compounds, 70, 000527-
000530.
Hensley, A.R. A. Scott, J. J. J. Clark, Rosenfeld, P.E. (2007). Attic Dust and Human Blood Samples Collected near
a Former Wood Treatment Facility. Environmental Research. 105, 194-197.
Rosenfeld, P.E., J. J. J. Clark, A. R. Hensley, M. Suffet. (2007). The Use of an Odor Wheel Classification for
Evaluation of Human Health Risk Criteria for Compost Facilities. Water Science & Technology 55(5), 345-357.
Rosenfeld, P. E., M. Suffet. (2007). The Anatomy Of Odour Wheels For Odours Of Drinking Water, Wastewater,
Compost And The Urban Environment. Water Science & Technology 55(5), 335-344.
Sullivan, P. J. Clark, J.J.J., Agardy, F. J., Rosenfeld, P.E. (2007). Toxic Legacy, Synthetic Toxins in the Food,
Water, and Air in American Cities. Boston Massachusetts: Elsevier Publishing
Rosenfeld, P.E., and Suffet I.H. (2004). Control of Compost Odor Using High Carbon Wood Ash. Water Science
and Technology. 49(9),171-178.
Rosenfeld P. E., J.J. Clark, I.H. (Mel) Suffet (2004). The Value of An Odor-Quality-Wheel Classification Scheme
For The Urban Environment. Water Environment Federation’s Technical Exhibition and Conference (WEFTEC)
2004. New Orleans, October 2-6, 2004.
Rosenfeld, P.E., and Suffet, I.H. (2004). Understanding Odorants Associated With Compost, Biomass Facilities,
and the Land Application of Biosolids. Water Science and Technology. 49(9), 193-199.
Rosenfeld, P.E., and Suffet I.H. (2004). Control of Compost Odor Using High Carbon Wood Ash, Water Science
and Technology, 49( 9), 171-178.
Rosenfeld, P. E., Grey, M. A., Sellew, P. (2004). Measurement of Biosolids Odor and Odorant Emissions from
Windrows, Static Pile and Biofilter. Water Environment Research. 76(4), 310-315.
Rosenfeld, P.E., Grey, M and Suffet, M. (2002). Compost Demonstration Project, Sacramento California Using
High-Carbon Wood Ash to Control Odor at a Green Materials Composting Facility. Integrated Waste Management
Board Public Affairs Office, Publications Clearinghouse (MS–6), Sacramento, CA Publication #442-02-008.
Rosenfeld, P.E., and C.L. Henry. (2001). Characterization of odor emissions from three different biosolids. Water
Soil and Air Pollution. 127(1-4), 173-191.
Rosenfeld, P.E., and Henry C. L., (2000). Wood ash control of odor emissions from biosolids application. Journal
of Environmental Quality. 29, 1662-1668.
Rosenfeld, P.E., C.L. Henry and D. Bennett. (2001). Wastewater dewatering polymer affect on biosolids odor
emissions and microbial activity. Water Environment Research. 73(4), 363-367.
Rosenfeld, P.E., and C.L. Henry. (2001). Activated Carbon and Wood Ash Sorption of Wastewater, Compost, and
Biosolids Odorants. Water Environment Research, 73, 388-393.
Paul E. Rosenfeld, Ph.D. Page 4 of 12 October 2022
Rosenfeld, P.E., and Henry C. L., (2001). High carbon wood ash effect on biosolids microbial activity and odor.
Water Environment Research. 131(1-4), 247-262.
Chollack, T. and P. Rosenfeld. (1998). Compost Amendment Handbook For Landscaping. Prepared for and
distributed by the City of Redmond, Washington State.
Rosenfeld, P. E. (1992). The Mount Liamuiga Crater Trail. Heritage Magazine of St. Kitts, 3(2).
Rosenfeld, P. E. (1993). High School Biogas Project to Prevent Deforestation On St. Kitts. Biomass Users
Network, 7(1).
Rosenfeld, P. E. (1998). Characterization, Quantification, and Control of Odor Emissions From Biosolids
Application To Forest Soil. Doctoral Thesis. University of Washington College of Forest Resources.
Rosenfeld, P. E. (1994). Potential Utilization of Small Diameter Trees on Sierra County Public Land. Masters
thesis reprinted by the Sierra County Economic Council. Sierra County, California.
Rosenfeld, P. E. (1991). How to Build a Small Rural Anaerobic Digester & Uses Of Biogas In The First And Third
World. Bachelors Thesis. University of California.
Presentations:
Rosenfeld, P.E., "The science for Perfluorinated Chemicals (PFAS): What makes remediation so hard?" Law
Seminars International, (May 9-10, 2018) 800 Fifth Avenue, Suite 101 Seattle, WA.
Rosenfeld, P.E., Sutherland, A; Hesse, R.; Zapata, A. (October 3-6, 2013). Air dispersion modeling of volatile
organic emissions from multiple natural gas wells in Decatur, TX. 44th Western Regional Meeting, American
Chemical Society. Lecture conducted from Santa Clara, CA.
Sok, H.L.; Waller, C.C.; Feng, L.; Gonzalez, J.; Sutherland, A.J.; Wisdom-Stack, T.; Sahai, R.K.; Hesse, R.C.;
Rosenfeld, P.E. (June 20-23, 2010). Atrazine: A Persistent Pesticide in Urban Drinking Water.
Urban Environmental Pollution. Lecture conducted from Boston, MA.
Feng, L.; Gonzalez, J.; Sok, H.L.; Sutherland, A.J.; Waller, C.C.; Wisdom-Stack, T.; Sahai, R.K.; La, M.; Hesse,
R.C.; Rosenfeld, P.E. (June 20-23, 2010). Bringing Environmental Justice to East St. Louis,
Illinois. Urban Environmental Pollution. Lecture conducted from Boston, MA.
Rosenfeld, P.E. (April 19-23, 2009). Perfluoroctanoic Acid (PFOA) and Perfluoroactane Sulfonate (PFOS)
Contamination in Drinking Water From the Use of Aqueous Film Forming Foams (AFFF) at Airports in the United
States. 2009 Ground Water Summit and 2009 Ground Water Protection Council Spring Meeting , Lecture conducted
from Tuscon, AZ.
Rosenfeld, P.E. (April 19-23, 2009). Cost to Filter Atrazine Contamination from Drinking Water in the United
States” Contamination in Drinking Water From the Use of Aqueous Film Forming Foams (AFFF) at Airports in the
United States. 2009 Ground Water Summit and 2009 Ground Water Protection Council Spring Meeting. Lecture
conducted from Tuscon, AZ.
Wu, C., Tam, L., Clark, J., Rosenfeld, P. (20-22 July, 2009). Dioxin and furan blood lipid concentrations in
populations living near four wood treatment facilities in the United States. Brebbia, C.A. and Popov, V., eds., Air
Pollution XVII: Proceedings of the Seventeenth International Conference on Modeling, Monitoring and
Management of Air Pollution. Lecture conducted from Tallinn, Estonia.
Rosenfeld, P. E. (October 15-18, 2007). Moss Point Community Exposure To Contaminants From A Releasing
Facility. The 23rd Annual International Conferences on Soils Sediment and Water. Platform lecture conducted from
University of Massachusetts, Amherst MA.
Paul E. Rosenfeld, Ph.D. Page 5 of 12 October 2022
Rosenfeld, P. E. (October 15-18, 2007). The Repeated Trespass of Tritium-Contaminated Water Into A
Surrounding Community Form Repeated Waste Spills From A Nuclear Power Plant. The 23rd Annual International
Conferences on Soils Sediment and Water. Platform lecture conducted from University of Massachusetts, Amherst
MA.
Rosenfeld, P. E. (October 15-18, 2007). Somerville Community Exposure To Contaminants From Wood Treatment
Facility Emissions. The 23rd Annual International Conferences on Soils Sediment and Water. Lecture conducted
from University of Massachusetts, Amherst MA.
Rosenfeld P. E. (March 2007). Production, Chemical Properties, Toxicology, & Treatment Case Studies of 1,2,3-
Trichloropropane (TCP). The Association for Environmental Health and Sciences (AEHS) Annual Meeting. Lecture
conducted from San Diego, CA.
Rosenfeld P. E. (March 2007). Blood and Attic Sampling for Dioxin/Furan, PAH, and Metal Exposure in Florala,
Alabama. The AEHS Annual Meeting. Lecture conducted from San Diego, CA.
Hensley A.R., Scott, A., Rosenfeld P.E., Clark, J.J.J. (August 21 – 25, 2006). Dioxin Containing Attic Dust And
Human Blood Samples Collected Near A Former Wood Treatment Facility. The 26th International Symposium on
Halogenated Persistent Organic Pollutants – DIOXIN2006. Lecture conducted from Radisson SAS Scandinavia
Hotel in Oslo Norway.
Hensley A.R., Scott, A., Rosenfeld P.E., Clark, J.J.J. (November 4-8, 2006). Dioxin Containing Attic Dust And
Human Blood Samples Collected Near A Former Wood Treatment Facility. APHA 134 Annual Meeting &
Exposition. Lecture conducted from Boston Massachusetts.
Paul Rosenfeld Ph.D. (October 24-25, 2005). Fate, Transport and Persistence of PFOA and Related Chemicals.
Mealey’s C8/PFOA. Science, Risk & Litigation Conference. Lecture conducted from The Rittenhouse Hotel,
Philadelphia, PA.
Paul Rosenfeld Ph.D. (September 19, 2005). Brominated Flame Retardants in Groundwater: Pathways to Human
Ingestion, Toxicology and Remediation PEMA Emerging Contaminant Conference. Lecture conducted from Hilton
Hotel, Irvine California.
Paul Rosenfeld Ph.D. (September 19, 2005). Fate, Transport, Toxicity, And Persistence of 1,2,3-TCP. PEMA
Emerging Contaminant Conference. Lecture conducted from Hilton Hotel in Irvine, California.
Paul Rosenfeld Ph.D. (September 26-27, 2005). Fate, Transport and Persistence of PDBEs. Mealey’s Groundwater
Conference. Lecture conducted from Ritz Carlton Hotel, Marina Del Ray, California.
Paul Rosenfeld Ph.D. (June 7-8, 2005). Fate, Transport and Persistence of PFOA and Related Chemicals.
International Society of Environmental Forensics: Focus On Emerging Contaminants. Lecture conducted from
Sheraton Oceanfront Hotel, Virginia Beach, Virginia.
Paul Rosenfeld Ph.D. (July 21-22, 2005). Fate Transport, Persistence and Toxicology of PFOA and Related
Perfluorochemicals. 2005 National Groundwater Association Ground Water And Environmental Law Conference.
Lecture conducted from Wyndham Baltimore Inner Harbor, Baltimore Maryland.
Paul Rosenfeld Ph.D. (July 21-22, 2005). Brominated Flame Retardants in Groundwater: Pathways to Human
Ingestion, Toxicology and Remediation. 2005 National Groundwater Association Ground Water and
Environmental Law Conference. Lecture conducted from Wyndham Baltimore Inner Harbor, Baltimore Maryland.
Paul Rosenfeld, Ph.D. and James Clark Ph.D. and Rob Hesse R.G. (May 5-6, 2004). Tert-butyl Alcohol Liability
and Toxicology, A National Problem and Unquantified Liability. National Groundwater Association. Environmental
Law Conference. Lecture conducted from Congress Plaza Hotel, Chicago Illinois.
Paul E. Rosenfeld, Ph.D. Page 6 of 12 October 2022
Paul Rosenfeld, Ph.D. (March 2004). Perchlorate Toxicology. Meeting of the American Groundwater Trust.
Lecture conducted from Phoenix Arizona.
Hagemann, M.F., Paul Rosenfeld, Ph.D. and Rob Hesse (2004). Perchlorate Contamination of the Colorado River.
Meeting of tribal representatives. Lecture conducted from Parker, AZ.
Paul Rosenfeld, Ph.D. (April 7, 2004). A National Damage Assessment Model For PCE and Dry Cleaners.
Drycleaner Symposium. California Ground Water Association. Lecture conducted from Radison Hotel, Sacramento,
California.
Rosenfeld, P. E., Grey, M., (June 2003) Two stage biofilter for biosolids composting odor control. Seventh
International In Situ And On Site Bioremediation Symposium Battelle Conference Orlando, FL.
Paul Rosenfeld, Ph.D. and James Clark Ph.D. (February 20-21, 2003) Understanding Historical Use, Chemical
Properties, Toxicity and Regulatory Guidance of 1,4 Dioxane. National Groundwater Association. Southwest Focus
Conference. Water Supply and Emerging Contaminants.. Lecture conducted from Hyatt Regency Phoenix Arizona.
Paul Rosenfeld, Ph.D. (February 6-7, 2003). Underground Storage Tank Litigation and Remediation. California
CUPA Forum. Lecture conducted from Marriott Hotel, Anaheim California.
Paul Rosenfeld, Ph.D. (October 23, 2002) Underground Storage Tank Litigation and Remediation. EPA
Underground Storage Tank Roundtable. Lecture conducted from Sacramento California.
Rosenfeld, P.E. and Suffet, M. (October 7- 10, 2002). Understanding Odor from Compost, Wastewater and
Industrial Processes. Sixth Annual Symposium On Off Flavors in the Aquatic Environment. International Water
Association. Lecture conducted from Barcelona Spain.
Rosenfeld, P.E. and Suffet, M. (October 7- 10, 2002). Using High Carbon Wood Ash to Control Compost Odor.
Sixth Annual Symposium On Off Flavors in the Aquatic Environment. International Water Association. Lecture
conducted from Barcelona Spain.
Rosenfeld, P.E. and Grey, M. A. (September 22-24, 2002). Biocycle Composting For Coastal Sage Restoration.
Northwest Biosolids Management Association. Lecture conducted from Vancouver Washington..
Rosenfeld, P.E. and Grey, M. A. (November 11-14, 2002). Using High-Carbon Wood Ash to Control Odor at a
Green Materials Composting Facility. Soil Science Society Annual Conference. Lecture conducted from
Indianapolis, Maryland.
Rosenfeld. P.E. (September 16, 2000). Two stage biofilter for biosolids composting odor control. Water
Environment Federation. Lecture conducted from Anaheim California.
Rosenfeld. P.E. (October 16, 2000). Wood ash and biofilter control of compost odor. Biofest. Lecture conducted
from Ocean Shores, California.
Rosenfeld, P.E. (2000). Bioremediation Using Organic Soil Amendments. California Resource Recovery
Association. Lecture conducted from Sacramento California.
Rosenfeld, P.E., C.L. Henry, R. Harrison. (1998). Oat and Grass Seed Germination and Nitrogen and Sulfur
Emissions Following Biosolids Incorporation With High-Carbon Wood-Ash. Water Environment Federation 12th
Annual Residuals and Biosolids Management Conference Proceedings. Lecture conducted from Bellevue
Washington.
Rosenfeld, P.E., and C.L. Henry. (1999). An evaluation of ash incorporation with biosolids for odor reduction. Soil
Science Society of America. Lecture conducted from Salt Lake City Utah.
Paul E. Rosenfeld, Ph.D. Page 7 of 12 October 2022
Rosenfeld, P.E., C.L. Henry, R. Harrison. (1998). Comparison of Microbial Activity and Odor Emissions from
Three Different Biosolids Applied to Forest Soil. Brown and Caldwell. Lecture conducted from Seattle Washington.
Rosenfeld, P.E., C.L. Henry. (1998). Characterization, Quantification, and Control of Odor Emissions from
Biosolids Application To Forest Soil. Biofest. Lecture conducted from Lake Chelan, Washington.
Rosenfeld, P.E, C.L. Henry, R. Harrison. (1998). Oat and Grass Seed Germination and Nitrogen and Sulfur
Emissions Following Biosolids Incorporation With High-Carbon Wood-Ash. Water Environment Federation 12th
Annual Residuals and Biosolids Management Conference Proceedings. Lecture conducted from Bellevue
Washington.
Rosenfeld, P.E., C.L. Henry, R. B. Harrison, and R. Dills. (1997). Comparison of Odor Emissions From Three
Different Biosolids Applied to Forest Soil. Soil Science Society of America. Lecture conducted from Anaheim
California.
Teaching Experience:
UCLA Department of Environmental Health (Summer 2003 through 20010) Taught Environmental Health Science
100 to students, including undergrad, medical doctors, public health professionals and nurses. Course focused on
the health effects of environmental contaminants.
National Ground Water Association, Successful Remediation Technologies. Custom Course in Sante Fe, New
Mexico. May 21, 2002. Focused on fate and transport of fuel contaminants associated with underground storage
tanks.
National Ground Water Association; Successful Remediation Technologies Course in Chicago Illinois. April 1,
2002. Focused on fate and transport of contaminants associated with Superfund and RCRA sites.
California Integrated Waste Management Board, April and May, 2001. Alternative Landfill Caps Seminar in San
Diego, Ventura, and San Francisco. Focused on both prescriptive and innovative landfill cover design.
UCLA Department of Environmental Engineering, February 5, 2002. Seminar on Successful Remediation
Technologies focusing on Groundwater Remediation.
University Of Washington, Soil Science Program, Teaching Assistant for several courses including: Soil Chemistry,
Organic Soil Amendments, and Soil Stability.
U.C. Berkeley, Environmental Science Program Teaching Assistant for Environmental Science 10.
Academic Grants Awarded:
California Integrated Waste Management Board. $41,000 grant awarded to UCLA Institute of the Environment.
Goal: To investigate effect of high carbon wood ash on volatile organic emissions from compost. 2001.
Synagro Technologies, Corona California: $10,000 grant awarded to San Diego State University.
Goal: investigate effect of biosolids for restoration and remediation of degraded coastal sage soils. 2000.
King County, Department of Research and Technology, Washington State. $100,000 grant awarded to University of
Washington: Goal: To investigate odor emissions from biosolids application and the effect of polymers and ash on
VOC emissions. 1998.
Northwest Biosolids Management Association, Washington State. $20,000 grant awarded to investigate effect of
polymers and ash on VOC emissions from biosolids. 1997.
Paul E. Rosenfeld, Ph.D. Page 8 of 12 October 2022
James River Corporation, Oregon: $10,000 grant was awarded to investigate the success of genetically engineered
Poplar trees with resistance to round-up. 1996.
United State Forest Service, Tahoe National Forest: $15,000 grant was awarded to investigating fire ecology of the
Tahoe National Forest. 1995.
Kellogg Foundation, Washington D.C. $500 grant was awarded to construct a large anaerobic digester on St. Kitts
in West Indies. 1993
Deposition and/or Trial Testimony:
In the Superior Court of the State of California, County of San Bernardino
Billy Wildrick, Plaintiff vs. BNSF Railway Company
Case No. CIVDS1711810
Rosenfeld Deposition 10-17-2022
In the State Court of Bibb County, State of Georgia
Richard Hutcherson, Plaintiff vs Norfolk Southern Railway Company
Case No. 10-SCCV-092007
Rosenfeld Deposition 10-6-2022
In the Civil District Court of the Parish of Orleans, State of Louisiana
Millard Clark, Plaintiff vs. Dixie Carriers, Inc. et al.
Case No. 2020-03891
Rosenfeld Deposition 9-15-2022
In The Circuit Court of Livingston County, State of Missouri, Circuit Civil Division
Shirley Ralls, Plaintiff vs. Canadian Pacific Railway and Soo Line Railroad
Case No. 18-LV-CC0020
Rosenfeld Deposition 9-7-2022
In The Circuit Court of the 13th Judicial Circuit Court, Hillsborough County, Florida Civil Division
Jonny C. Daniels, Plaintiff vs. CSX Transportation Inc.
Case No. 20-CA-5502
Rosenfeld Deposition 9-1-2022
In The Circuit Court of St. Louis County, State of Missouri
Kieth Luke et. al. Plaintiff vs. Monsanto Company et. al.
Case No. 19SL-CC03191
Rosenfeld Deposition 8-25-2022
In The Circuit Court of the 13th Judicial Circuit Court, Hillsborough County, Florida Civil Division
Jeffery S. Lamotte, Plaintiff vs. CSX Transportation Inc.
Case No. NO. 20-CA-0049
Rosenfeld Deposition 8-22-2022
In State of Minnesota District Court, County of St. Louis Sixth Judicial District
Greg Bean, Plaintiff vs. Soo Line Railroad Company
Case No. 69-DU-CV-21-760
Rosenfeld Deposition 8-17-2022
In United States District Court Western District of Washington at Tacoma, Washington
John D. Fitzgerald Plaintiff vs. BNSF
Case No. 3:21-cv-05288-RJB
Rosenfeld Deposition 8-11-2022
Paul E. Rosenfeld, Ph.D. Page 9 of 12 October 2022
In Circuit Court of the Sixth Judicial Circuit, Macon Illinois
Rocky Bennyhoff Plaintiff vs. Norfolk Southern
Case No. 20-L-56
Rosenfeld Deposition 8-3-2022
In Court of Common Pleas, Hamilton County Ohio
Joe Briggins Plaintiff vs. CSX
Case No. A2004464
Rosenfeld Deposition 6-17-2022
In the Superior Court of the State of California, County of Kern
George LaFazia vs. BNSF Railway Company.
Case No. BCV-19-103087
Rosenfeld Deposition 5-17-2022
In the Circuit Court of Cook County Illinois
Bobby Earles vs. Penn Central et. al.
Case No. 2020-L-000550
Rosenfeld Deposition 4-16-2022
In United States District Court Easter District of Florida
Albert Hartman Plaintiff vs. Illinois Central
Case No. 2:20-cv-1633
Rosenfeld Deposition 4-4-2022
In the Circuit Court of the 4th Judicial Circuit, in and For Duval County, Florida
Barbara Steele vs. CSX Transportation
Case No.16-219-Ca-008796
Rosenfeld Deposition 3-15-2022
In United States District Court Easter District of New York
Romano et al. vs. Northrup Grumman Corporation
Case No. 16-cv-5760
Rosenfeld Deposition 3-10-2022
In the Circuit Court of Cook County Illinois
Linda Benjamin vs. Illinois Central
Case No. No. 2019 L 007599
Rosenfeld Deposition 1-26-2022
In the Circuit Court of Cook County Illinois
Donald Smith vs. Illinois Central
Case No. No. 2019 L 003426
Rosenfeld Deposition 1-24-2022
In the Circuit Court of Cook County Illinois
Jan Holeman vs. BNSF
Case No. 2019 L 000675
Rosenfeld Deposition 1-18-2022
In the State Court of Bibb County State of Georgia
Dwayne B. Garrett vs. Norfolk Southern
Case No. 20-SCCV-091232
Rosenfeld Deposition 11-10-2021
Paul E. Rosenfeld, Ph.D. Page 10 of 12 October 2022
In the Circuit Court of Cook County Illinois
Joseph Ruepke vs. BNSF
Case No. 2019 L 007730
Rosenfeld Deposition 11-5-2021
In the United States District Court For the District of Nebraska
Steven Gillett vs. BNSF
Case No. 4:20-cv-03120
Rosenfeld Deposition 10-28-2021
In the Montana Thirteenth District Court of Yellowstone County
James Eadus vs. Soo Line Railroad and BNSF
Case No. DV 19-1056
Rosenfeld Deposition 10-21-2021
In the Circuit Court Of The Twentieth Judicial Circuit, St Clair County, Illinois
Martha Custer et al.cvs. Cerro Flow Products, Inc.
Case No. 0i9-L-2295
Rosenfeld Deposition 5-14-2021
Trial October 8-4-2021
In the Circuit Court of Cook County Illinois
Joseph Rafferty vs. Consolidated Rail Corporation and National Railroad Passenger Corporation d/b/a
AMTRAK,
Case No. 18-L-6845
Rosenfeld Deposition 6-28-2021
In the United States District Court For the Northern District of Illinois
Theresa Romcoe vs. Northeast Illinois Regional Commuter Railroad Corporation d/b/a METRA Rail
Case No. 17-cv-8517
Rosenfeld Deposition 5-25-2021
In the Superior Court of the State of Arizona In and For the Cunty of Maricopa
Mary Tryon et al. vs. The City of Pheonix v. Cox Cactus Farm, L.L.C., Utah Shelter Systems, Inc.
Case No. CV20127-094749
Rosenfeld Deposition 5-7-2021
In the United States District Court for the Eastern District of Texas Beaumont Division
Robinson, Jeremy et al vs. CNA Insurance Company et al.
Case No. 1:17-cv-000508
Rosenfeld Deposition 3-25-2021
In the Superior Court of the State of California, County of San Bernardino
Gary Garner, Personal Representative for the Estate of Melvin Garner vs. BNSF Railway Company.
Case No. 1720288
Rosenfeld Deposition 2-23-2021
In the Superior Court of the State of California, County of Los Angeles, Spring Street Courthouse
Benny M Rodriguez vs. Union Pacific Railroad, A Corporation, et al.
Case No. 18STCV01162
Rosenfeld Deposition 12-23-2020
In the Circuit Court of Jackson County, Missouri
Karen Cornwell, Plaintiff, vs. Marathon Petroleum, LP, Defendant.
Case No. 1716-CV10006
Rosenfeld Deposition 8-30-2019
Paul E. Rosenfeld, Ph.D. Page 11 of 12 October 2022
In the United States District Court For The District of New Jersey
Duarte et al, Plaintiffs, vs. United States Metals Refining Company et. al. Defendant.
Case No. 2:17-cv-01624-ES-SCM
Rosenfeld Deposition 6-7-2019
In the United States District Court of Southern District of Texas Galveston Division
M/T Carla Maersk vs. Conti 168., Schiffahrts-GMBH & Co. Bulker KG MS “Conti Perdido” Defendant.
Case No. 3:15-CV-00106 consolidated with 3:15-CV-00237
Rosenfeld Deposition 5-9-2019
In The Superior Court of the State of California In And For The County Of Los Angeles – Santa Monica
Carole-Taddeo-Bates et al., vs. Ifran Khan et al., Defendants
Case No. BC615636
Rosenfeld Deposition 1-26-2019
In The Superior Court of the State of California In And For The County Of Los Angeles – Santa Monica
The San Gabriel Valley Council of Governments et al. vs El Adobe Apts. Inc. et al., Defendants
Case No. BC646857
Rosenfeld Deposition 10-6-2018; Trial 3-7-19
In United States District Court For The District of Colorado
Bells et al. Plaintiffs vs. The 3M Company et al., Defendants
Case No. 1:16-cv-02531-RBJ
Rosenfeld Deposition 3-15-2018 and 4-3-2018
In The District Court Of Regan County, Texas, 112 th Judicial District
Phillip Bales et al., Plaintiff vs. Dow Agrosciences, LLC, et al., Defendants
Cause No. 1923
Rosenfeld Deposition 11-17-2017
In The Superior Court of the State of California In And For The County Of Contra Costa
Simons et al., Plaintifs vs. Chevron Corporation, et al., Defendants
Cause No. C12-01481
Rosenfeld Deposition 11-20-2017
In The Circuit Court Of The Twentieth Judicial Circuit, St Clair County, Illinois
Martha Custer et al., Plaintiff vs. Cerro Flow Products, Inc., Defendants
Case No.: No. 0i9-L-2295
Rosenfeld Deposition 8-23-2017
In United States District Court For The Southern District of Mississippi
Guy Manuel vs. The BP Exploration et al., Defendants
Case No. 1:19-cv-00315-RHW
Rosenfeld Deposition 4-22-2020
In The Superior Court of the State of California, For The County of Los Angeles
Warrn Gilbert and Penny Gilber, Plaintiff vs. BMW of North America LLC
Case No. LC102019 (c/w BC582154)
Rosenfeld Deposition 8-16-2017, Trail 8-28-2018
In the Northern District Court of Mississippi, Greenville Division
Brenda J. Cooper, et al., Plaintiffs, vs. Meritor Inc., et al., Defendants
Case No. 4:16-cv-52-DMB-JVM
Rosenfeld Deposition July 2017
Paul E. Rosenfeld, Ph.D. Page 12 of 12 October 2022
In The Superior Court of the State of Washington, County of Snohomish
Michael Davis and Julie Davis et al., Plaintiff vs. Cedar Grove Composting Inc., Defendants
Case No. 13-2-03987-5
Rosenfeld Deposition, February 2017
Trial March 2017
In The Superior Court of the State of California, County of Alameda
Charles Spain., Plaintiff vs. Thermo Fisher Scientific, et al., Defendants
Case No. RG14711115
Rosenfeld Deposition September 2015
In The Iowa District Court In And For Poweshiek County
Russell D. Winburn, et al., Plaintiffs vs. Doug Hoksbergen, et al., Defendants
Case No. LALA002187
Rosenfeld Deposition August 2015
In The Circuit Court of Ohio County, West Virginia
Robert Andrews, et al. v. Antero, et al.
Civil Action No. 14-C-30000
Rosenfeld Deposition June 2015
In The Iowa District Court for Muscatine County
Laurie Freeman et. al. Plaintiffs vs. Grain Processing Corporation, Defendant
Case No. 4980
Rosenfeld Deposition May 2015
In the Circuit Court of the 17th Judicial Circuit, in and For Broward County, Florida
Walter Hinton, et. al. Plaintiff, vs. City of Fort Lauderdale, Florida, a Municipality, Defendant.
Case No. CACE07030358 (26)
Rosenfeld Deposition December 2014
In the County Court of Dallas County Texas
Lisa Parr et al, Plaintiff, vs. Aruba et al, Defendant.
Case No. cc-11-01650-E
Rosenfeld Deposition: March and September 2013
Rosenfeld Trial April 2014
In the Court of Common Pleas of Tuscarawas County Ohio
John Michael Abicht, et al., Plaintiffs, vs. Republic Services, Inc., et al., Defendants
Case No. 2008 CT 10 0741 (Cons. w/ 2009 CV 10 0987)
Rosenfeld Deposition October 2012
In the United States District Court for the Middle District of Alabama, Northern Division
James K. Benefield, et al., Plaintiffs, vs. International Paper Company, Defendant.
Civil Action No. 2:09-cv-232-WHA-TFM
Rosenfeld Deposition July 2010, June 2011
In the Circuit Court of Jefferson County Alabama
Jaeanette Moss Anthony, et al., Plaintiffs, vs. Drummond Company Inc., et al., Defendants
Civil Action No. CV 2008-2076
Rosenfeld Deposition September 2010
In the United States District Court, Western District Lafayette Division
Ackle et al., Plaintiffs, vs. Citgo Petroleum Corporation, et al., Defendants.
Case No. 2:07CV1052
Rosenfeld Deposition July 2009
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Response to Comments Memorandum
Arcadia Town Center Project
SCH No. 2024110749
Submitted to City of Arcadia
Development Services Department
240 West Huntington Drive
Arcadia, California 91066
Contact: Edwin Arreola
T: (626) 821-4334
Prepared by Psomas
150 South Arroyo Parkway, Suite 102
Pasadena, California 9110591105
T: (626) 351-2000
January 2025
Arcadia Town Center Project
Response to Comments Memorandum
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Table of Contents
TABLE OF CONTENTS
Section Page
Section 1.0 Introduction and Summary............................................................................ 1-1
1.1 Conclusion of the CEQA Process ......................................................... 1-1
Section 2.0 Responses to Comments .............................................................................. 2-1
Arcadia Town Center Project
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Table of Contents
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Introduction and Summary
SECTION 1.0 INTRODUCTION AND SUMMARY
Pursuant to Section 15072 of the State California Environmental Quality Act (CEQA) Guidelines,
a Notice of Intent to Adopt a Mitigated Negative Declaration (NOI) for the Arcadia Town Center
Project (Project) was distributed on November 19, 2024, by the City of Arcadia (City) to the public,
applicable responsible and trustee agencies, and other appropriate agencies and organizations.
The Arcadia Town Center Project Initial Study/Mitigated Negative Declaration (IS/MND) was
available for public review and comment for a 30-day period from Thursday, November 21, 2024,
through Friday, December 20, 2024.
Section 15074(b) of the State CEQA Guidelines states that, prior to approving a project, the lead
agency must consider a proposed IS/MND together with any comments received on that
document during the public review period. Pursuant to Section 15367 of the State CEQA
Guidelines, the City of Arcadia is the lead agency for the Project.
Written comments on the Arcadia Town Center Project IS/MND were received from a total of two
parties during the 30-day public review period that closed on December 20, 2024. Although CEQA
does not require written responses to comments on an IS/MND, the City‒as the lead agency‒has
evaluated all comments received as well as prepared written responses. The City’s responses to
any significant environmental issues raised in comments on the IS/MND are provided in Section
2.0, Responses to Comments, of this document. When comments did not address the
completeness or adequacy of the CEQA documentation or raise significant environmental issues,
the receipt of the comment is noted, and no further response is provided.
1.1 CONCLUSION OF THE CEQA PROCESS
The City has reviewed all comments received to determine whether any significant environmental
issues have been raised. Based on substantial evidence and in light of the whole record, including
the evaluation in the IS/MND together with the comments received, the City has determined no
significant new environmental issues have been raised that have not been adequately addressed
in the IS/MND and/or this Responses to Comments Memorandum. All potential impacts
associated with the Project were identified and found to be less than significant with the
incorporation of identified mitigation measures, where applicable. Accordingly, the Arcadia Town
Center Project would not result in any significant impacts, and an IS/MND is the appropriate
environmental document in accordance with CEQA (California Public Resources Code, Section
21000 et. seq.) and the State CEQA Guidelines (California Code of Regulations, Title 14, Section
15000 et. seq.).
The City of Arcadia’s Planning Commission will consider the IS/MND together with the comments
received during the public review process and this Response to Comments Memorandum. The
Planning Commission, as the decision-making body of the lead agency for this Project, will adopt
the proposed IS/MND and approve the Project only if they find, on the basis of the whole record
before it, that there is no substantial evidence that the Project would have a significant effect on
the environment and that the IS/MND reflects the lead agency’s independent judgment and
analysis.
Arcadia Town Center Project
Response to Comments Memorandum
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Responses to Comments
SECTION 2.0 RESPONSES TO COMMENTS
As described in Section 1.0, written comments on the Arcadia Town Center Project IS/MND were
received from the two parties by December 20, 2024 (the close of the public review period), as
follows:
Agencies
x California Department of Transportation (Caltrans), District 7 – December 19, 2024
Individuals and Organizations
x Lozeau Drury LLP on behalf of Supporters Alliance for Environmental Responsibility
(“SAFER”) – December 20, 2024
Each comment letter has been numbered and then divided into sequential numbered comments
(e.g., Letter 1, comments 1.1, 1.2, and so forth). The numbered comment letter is immediately
followed with correspondingly numbered responses.
Arcadia Town Center Project
Response to Comments Memorandum
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Responses to Comments
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Responses to Comments
Insert Caltrans letter (3 pages)
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Responses to Comments
Response to Comment Letter 1
California Department of Transportation (Caltrans), District 7
December 19, 2024
Response 1.1: This comment is acknowledged. The summary of the Project provided in the
comment letter is accurate. No further response is required.
Response 1.2: This comment related to Caltrans’ mission and reminder that vehicle miles
traveled (VMT) is the required metric for the CEQA analysis of transportation impacts is
acknowledged. The IS/MND analyzes transportation impacts consistent with the requirements of
Senate Bill (SB) 743 and Section 15064.3 et. seq. of the State CEQA Guidelines.
Specifically, refer to Section 3.17, Transportation, on pages 3-95 through 3-100 of the IS/MND,
which summarizes the Traffic Impact Study for the Arcadia Town Center Project (Traffic Study), dated
September 2024 and provided as Appendix H to the document. The Traffic Study was prepared in
accordance with the City of Arcadia Transportation Study Guidelines for Vehicle Miles Traveled and
Level of Service Assessment and the Governor’s Office of Planning and Research’s Technical
Advisory on Evaluating Transportation Impacts in CEQA. No changes to the IS/MND are
necessary; however, the comment is noted for the administrative record and will be forwarded to
the decision-makers.
Response 1.3: This comment providing Caltrans’ suggestions for additional features supporting
multi-modal transportation and reduction in VMT beyond the current scope and/or footprint of the
Project is acknowledged. As demonstrated in the Traffic Study prepared for the Project and
summarized in the IS/MND, in accordance with both City and State guidelines, the Project would
result in less than significant impacts related to VMT and conflict with circulation system programs,
plans, ordinances, or policies, and no mitigation is required (see pages 3-96 through 3-98 of the
IS/MND).
Regarding the statement that “the IS/MND does not provide information on nearby bike lane
connectivity”, the Project does not propose features that extend from the Project site to connect
to bike lanes and therefore this information is beyond the scope of the proposed Project and this
IS/MND. Also, note that the relevant threshold from Appendix G of the State CEQA Guidelines
asks if a project would “conflict with (emphasis added) a program, plan, ordinance, or policy
addressing the circulation system, including transit, roadway, bicycle, and pedestrian facilities”.
Accordingly, the Traffic Study and IS/MND address the proposed features of the Project against
applicable planning directives. The IS/MND analyzes the Project as designed; the Project’s
features that support bicyclist and pedestrian activity and accessibility are analyzed to determine
whether they conflict with any applicable circulation system directives (see pages 3-97 and 3-98
of the IS/MND). As noted previously, the IS/MND concluded the Project would have less than
significant impacts. The cited lack of information on bike lane connectivity does not, therefore,
represent an inadequacy of the CEQA documentation.
As stated on page 2-9, of the IS/MND, in Section 2.0, Environmental Setting and Project
Description, it is noted the City’s Development Code requires that long-term bicycle parking
includes one of the following:
yy Covered, lockable enclosures with permanently anchored racks for bicycles;
y Lockable bike rooms with permanently anchored racks; or
y Lockable, permanently anchored bicycle lockers.
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Therefore, the Project would include “secure bicycle parking”. Caltrans’ other suggested additions
to the Project design related to bicycling are acknowledged.
Regarding the statements that “additional measures are necessary to mitigate VMT impacts”
notwithstanding the Project’s “advantageous” location in a Transit Priority Area [TPA] and “we
recommend that strategies…should also be explored” after acknowledging “the IS/MND identifies
the project as consistent with regional VMT goals”, the Traffic Study prepared as part of the
IS/MND concluded the Project–as designed and described in the IS/MND–would result in less
than significant impacts related to VMT pursuant to Section 15064.3(b) of the State CEQA
Guidelines, and no mitigation is required. To reiterate, the Traffic Study was prepared in
accordance with the City’s adopted VMT guidelines, which were in turn prepared and adopted in
accordance with SB 743. This comment does not substantiate the assertion that (1) there is a
significant VMT impact and (2) mitigation measures for this impact are required. Specifically,
Caltrans identification of additional VMT-reducing features that could conceivably be included in
the Project is not equivalent to identifying an undisclosed significant transportation impact that
requires additional mitigation.
In summary, this comment does not provide evidence of significant and/or undisclosed
transportation impacts nor the need for additional mitigation measures. No changes to the IS/MND
are necessary; however, the comment is noted for the administrative record and will be forwarded
to the decision-makers.
Response 1.4: This comment relates to transportation of heavy construction equipment and/or
materials that require use of oversized transport vehicles on State highways. The City of Arcadia
would ensure the contractor acquires all necessary permits, as required by Caltrans, including a
Caltrans transportation permit, if applicable. Additionally, short-term and long-term emergency
access is fully addressed in Section 3.17, Transportation, of the IS/MND, beginning on page 3-
99. As presented beginning on pages 1-5 and 3-99 of the IS/MND, mitigation measure (MM)
TRANS-1 requires the preparation of a Construction Management Plan, which would ensure
“clear and continuous emergency access routes during construction”. The comment related to the
commenter’s contact information is acknowledged. No changes to the IS/MND are necessary;
however, the comment is noted for the administrative record and will be forwarded to the decision-
makers.
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Insert Lozeau Drury letter (16 pages from main body of letter only, remaining 156 pages
comprising Exhibits A through D will be included in Appendix A to this document)
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Response to Comment Letter 2
Lozeau Drury LLP on behalf of Supporters Alliance for Environmental Responsibility
(“SAFER”)
December 19, 2024
Response 2.1: This comment states the letter is submitted by Lozeau Drury LLP on behalf of
Supporters Alliance for Environmental Responsibility (“SAFER”) and provides a brief summary of
the Project and is acknowledged. The comment is noted for the record and will be forwarded to
the decision-makers.
Response 2.2: This comment states there is a fair argument the Project may result in significant
impacts related to biological resources, noise, air quality, and indoor air quality. The commenter
requests that an Environmental Impact Report (EIR) be prepared to analyze and mitigate these
impacts under the California Environmental Quality Act (CEQA).
The commenter is referred to the entirety of the IS/MND and its appendices, which provides a full
analysis of the Project including a detailed description of the Project’s elements and an evaluation
of both construction and operation activity on- and off-site, as applicable. Section 3.0,
Environmental Checklist Form, of the IS/MND evaluates impacts associated with 20
environmental resources and includes analysis of mandatory findings of significance, consistent
with Appendix G of the State CEQA Guidelines (2024). The IS/MND also identifies multiple
mitigation measures related to Cultural Resources, Hazards and Hazardous Materials, Noise and
Vibration, Transportation, Tribal Cultural Resources, and Utilities and Service Systems, which are
required to reduce potential impacts to less than significant levels. The Project’s
IS/MND was prepared consistent with CEQA (California Public Resources Code, Section 21000
et. seq.) and the State CEQA Guidelines (California Code of Regulations, Title 14, Section 15000
et. seq.) The IS/MND adequately addresses the potential environmental impacts associated with
Project implementation. Specifically, in accordance with Section 15063(a)(3) of the State CEQA
Guidelines, the environmental analysis and all conclusions presented in the IS/MND relied upon
facts, expert opinion supported by facts, technical studies, and other substantial evidence to
support the determination that, with implementation of identified mitigation measures, the Project
would not have a significant impact on the environment.
An EIR is not required for the Project because (1) all potentially significant impacts would be
mitigated to a less than significant level and (2) the commenter does not provide any substantial
evidence supporting the numerous and varied assertions regarding the adequacy and accuracy
of the IS/MND analysis presented in the remainder of the comment letter and attached exhibits.
Section 15384 of the State CEQA Guidelines states, in part, that substantial evidence “means
enough relevant information and reasonable inferences from this information that a fair argument
can be made to support a conclusion, even though other conclusions might also be reached”.
The commenter’s assertions are based on evidence that is inaccurate and/or irrelevant, which
results in unreasonable inferences from the information utilized. As such, the commenter has not
provided substantial evidence for the record and as such does meet the fair argument standard
pursuant to CEQA and the CEQA Guidelines to legally assert that the Project would result in
significant adverse environmental impacts.
The comment stating that SAFER’s review of the IS/MND was assisted by Shawn Smallwood,
Phd.; Wilson Ihrig; Soil/Water/Air Protection Enterprises (SWAPE); and Francis Offermann, PE,
CIH (of Indoor Environmental Engineering [IEE]) is acknowledged.
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No changes to the IS/MND are necessary; however, the comment is noted for the administrative
record and will be forwarded to the decision-makers.
Response 2.3: This comment provides a summary of the Project and is acknowledged. The
comment is noted for the record and will be forwarded to the decision-makers for review. No
further response is required.
Response 2.4: This comment provides a discussion of CEQA case law decisions related to legal
standard for negative declarations and is acknowledged. The comment is noted for the record
and will be forwarded to the decision-makers. No further response is required.
Response 2.5: This comment states that generally the IS/MND’s methodology for and analysis
of impacts to biological resources is insufficient and not supported by substantial evidence. The
comment states the IS/MND failed to accurately characterize the wildlife community on the Project
site, including the presence of “at least six special-status species”. A predicted number of
vertebrate species and special status species present on site as well as annual bird deaths from
window collisions and vertebrate wildlife fatalities from vehicle collisions are purported; however,
there are no methodologies provided for these calculations, so the validity of these claims is not
verifiable. It is noted that the calculation of predicted vehicle collisions is based on the IS/MND
estimating over 1.3 million annual employee VMTs; however, this is categorically inaccurate, not
least because this Project would be predominantly residential. It is also noted that the commentary
of Dr. Smallwood is limited to and focused on vertebrate wildlife and does not address the many
other issues relevant to the topic of biological resources.
The comment asserts the Project would result in significant impacts to biological resources due
to interference with aerial (i.e., not ground level) wildlife movement, bird-window collision
mortality, traffic mortality, and cumulative impacts. The analysis of mortality of vertebrate wildlife
due to bird-window and traffic collisions is not specified nor required by the State CEQA
Guidelines or the California Fish and Game Code to be considered the Biological Resources
section of Appendix G of the CEQA Guidelines. Similarly, wildlife movement through airspace is
irrelevant to the analysis of biological resources pursuant to the State CEQA Guidelines or the
California Fish and Game Code.
The comment states the IS/MND’s mitigation measures are insufficient to reduce significant
biological resources impacts, specifically citing “Mitigation Measure RR BIO-3” and characterizing
this as the deferred development of landscape plans. In no location in the IS/MND are regulatory
requirements or RRs written as or referred to as “Mitigation Measure RR” nor in any way could it
be implied these are mitigation measures. As stated repeatedly in the IS/MND, there would be no
significant impacts to biological resources and no mitigation measures are required. The
abbreviation “RR” stands for regulatory requirements, which is both defined on page 1-1 of the
IS/MND and is the text of the sub-header immediately preceding the list of applicable RRs in every
topical analysis section of the IS/MND. As stated on page 1-1, “RRs are based on local, State,
and/or federal regulations or laws that are required independent of CEQA review [emphasis
added], yet also serve to offset or prevent certain impacts”. Because the referenced requirement
of the Project is not a mitigation measure, the remainder of the comment regarding the sufficiency
of said requirement is immaterial, and further response is not necessary.
These opinions of biological resources impacts are interesting in that development of this same
project on a greenfield site or even an urban location with half the density of Arcadia would have
vastly greater potential for significant biological resources impacts under CEQA, the State CEQA
Guidelines, the California Fish and Game Code, and possibly other regulations. An urban infill
redevelopment project on a site that is completely developed, almost devoid of pervious surfaces,
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with only sparse and ornamental vegetation, and adjoining two of the main thoroughfares through
the City of Arcadia is a setting that inherently serves to minimize biological resources impacts.
Section 3.4, Biological Resources, of the IS/MND includes a full analysis of the Project’s potential
impacts to biological resources, including wildlife species and wildlife movement, and concludes
there would be less than significant impacts and no mitigation was required (see pages 3-28
through 3-31 of the IS/MND). Section 3.21, Mandatory Findings of Significance, of the IS/MND
addresses cumulative impacts under Threshold 3.21(b) and concludes there would be less than
significant impacts and no mitigation was required (see page 3-114 of the IS/MND). The IS/MND
thoroughly reviewed and discussed the potential biological resources impacts from construction
and operation of the Project based on established best practices for such analyses. This includes,
but is not limited to, accepted definitions of special-status species and wildlife corridors in the
context of CEQA assessment; use of the checklist questions provided in Appendix G of the State
CEQA Guidelines; and consideration of the purpose and intent of environmental review pursuant
to CEQA. As part of an academic exercise, an expansive array of definitions, methodologies, and
impacts can be asserted as fact and evidence without the functional and legal parameters
provided by the CEQA statute and CEQA Guidelines, and relevant case law, which are necessary
to facilitate a consistent, equitable, reasonable, and meaningful analysis of any of the 20
environmental topics addressed pursuant to CEQA.
No changes to the IS/MND are necessary; however, the comment is noted for the administrative
record and will be forwarded to the decision-makers.
Response 2.6: This comment states there is a fair argument that the Project may result in
significant adverse noise and vibration impacts. It is noted that, apart from this statement, no
supplementary comments regarding the vibration analysis in the IS/MND are provided. The
comment states the IS/MND relies on an inadequately established noise baseline; that
construction noise impacts will be significant; and that the operational noise analysis is
incomplete.
The comment states “she [Ms. Toncheva] found that the MND’s ambient noise measurements
were taken at the Project boundaries rather than at sensitive receptors…”; and “Moreover, the
noise measurements close to the Santa Clara residences were dominated by HVAC noise directly
next to the Project site”. This is correct. As discussed on page 3-71 of the IS/MND, 20-minute
measurements were taken along each of the Project site boundaries (north, south, east, west).
Ambient noise levels are primarily influenced by vehicle traffic on the eastern and southern Project
site boundaries, the Heating Ventilation and Air Conditioning (HVAC) unit at the Mercedes Benz
dealership on the western site boundary, and pressure washer use and the HVAC unit at the
dealership on the northern site boundary. Given that Santa Clara Street is generally to the west
of the Project site, albeit hundreds of feet away, and is equally proximate to the dealership
building, it makes sense the ambient noise environment is also dominated by the HVAC unit,
though this was not stated in Table 20 of the IS/MND; Table 20 explicitly states the location is
“Western Project Boundary”. Regardless, this is not germane to the determination of on-site
ambient noise levels.
CEQA requires a disclosure of potential project-related impacts on the environment due to the
change in existing conditions at the site of a proposed action. Therefore, the Project site itself is
the appropriate location to measure baseline noise levels and is the industry standard practice.
Off-site noise levels are then calculated based on the distance from noise source to off-site
receptor, which is the industry standard practice. Short-term, on-site measurements were
selected because they provide the magnitude of noise under existing conditions experienced at
the Project site and this methodology is the industry standard practice for most projects. Long-
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term measurements (24-hour) would be useful for projects that have substantial effects on a 24-
hour basis or to assess how existing ambient noise levels would affect the Project site. Since
CEQA does not require analyses of potential impacts from the environment onto a project, 24-
hour noise measurements were not necessary for this Project to prepare a legally adequate
analysis of noise pursuant to CEQA and the State CEQA Guidelines.
Regarding statements regarding ambient measurements not capturing noise level fluctuations
over the day, adjustment of noise with distance from the source, and that measurements must be
near sensitive receptors to capture baseline levels during quiet periods of day and night, it is a
fact that ambient noise levels vary depending on the time of day, location of the measurement,
and day of the year. It is neither feasible nor necessary to capture noise levels over extended
periods to adequately analyze noise impacts pursuant to CEQA.
Regarding sensitive receptor proximity, it is a statement of fact that “no sensitive receptors occur
near the Project construction site…” (page 3-78 of the IS/MND). The nearest noise-sensitive
receptors–which in this case are residences–are located at least 280 feet to the southeast and
345 feet to the northwest (Excelsior School). Therefore, since the noise-sensitive receptors are
hundreds of feet away, they would not be considered located “near”, even without considering the
presence of intervening structures and roadways with related traffic activity typical of a dense
urban environment that act to attenuate and generate noise, respectively. As stated on page 3-
78, “The degree to which noise-sensitive receptors are affected by construction activities depends
heavily on their proximity”.
The estimated construction noise levels at the nearest residential locations (280 feet and 410
feet) purported by the commenter are fundamentally inaccurate and inapplicable for several
reasons. First, while the commenter’s methodology to calculate these noise levels is appropriately
based on the inverse square law1–same as the IS/MND– the calculations are not based on the
source noise level on the Project site. These calculations use the noise level calculated for
receptors at the edge of Arcadia County Park at a distance of 95 feet per Table 25 in the IS/MND.
This is a non-linear noise propagation that does not follow the inverse square law arithmetically.
Further, in Table 25, the maximum noise level of 98 dBA Leq (equivalent noise level in A-weight
decibels) at the Elks Lodge at 10 feet from the noise source attenuates to 78 dBA Leq at 95 feet,
or a 20 dBA Leq reduction. In this context, construction noise levels of 69 dBA Leq at 280 feet and
65 dBA Leq at 410 feet are clearly illogical.
The commenter also neglects to mention their calculations are derived from the estimated
maximum construction noise levels. Both maximum and average noise levels are presented in
Table 25 and discussed in the IS/MND analysis. In reality, the construction noise levels will vary
between these ranges that in themselves are worst-case levels. Most notably because noise
attenuation under the inverse square law is based on free field conditions, a free field is a region
where the acoustic waves can propagate free from obstructions that would otherwise interfere
with the sound path. The Project site environment is not a free field in any direction, even more
so in the areas between the site and the nearest noise-sensitive receptors. Also, these noise
levels are the worst-case scenario in that they represent the outdoor conditions at the given
distance. As such, the experienced noise levels would be lower than estimated at any location
and even lower within any structures, including commercial structures and homes.
The commenter states the MND fails to establish construction noise criteria. The comments
correctly state that the IS/MND references the “noise limits of the City of Arcadia Noise Ordinance”
1The inverse square law controls the propagation of noise waves in a free field wherein the doubling of distance from
a noise source reduces the resulting noise level by six decibels.
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and then asserts the “adjustment to noise limits for impulsive sounds…§5610.3(b)” was omitted.
The commenter asserts their predicted noise levels at the Santa Anita residences would exceed
the “Ordinance limit”. It is assumed this refers to Section 4610.3 “Noise Limits” of the Arcadia
Municipal Code (AMC).
The City, as lead agency, determines which significance thresholds are used in CEQA analyses.
The City has adopted ordinances or standards within its municipal code and uses these as the
basis for noise impact analyses, where applicable. Sections 4261 through 4265 of the AMC relate
to construction activity and Section 4610 through 4630.2 of the AMC relate to operation and
maintenance of land uses. All applicable sections of the AMC pertaining to noise are presented
in the IS/MND. Section 4310.3(b) is not presented because it is not applicable; operation of the
proposed land uses would not involve generation of impulsive sounds as defined in Section
4610.1(f) of the AMC. Similarly, exceedance of the noise limits specified in Section 4310 due to
construction-generated noise levels is not applicable. The commenter states the IS/MND lacks a
significance threshold for generation of substantial temporary or permanent increase in ambient
noise levels. However, on page 3-79 of the IS/MND the applicable standards for assessing
construction noise are clearly stated. For reasons discussed above, the commenter’s predicted
construction noise levels, and by extension conflating these levels to a finding regarding a
substantial noise level increase – are wholly inaccurate and illogical. As there are no significant
construction noise impacts, no mitigation is required.
It is noted most municipalities in California do not have numeric construction noise level limits nor
a definition of “substantial” ambient noise level increase and those that do recognize that
construction activity will generate higher noise levels than would be acceptable from operation of
permanent land uses. Just as operation of a lawn mower, leaf blower, or a circular saw would
generate noise levels above the ambient noise level, the Project’s construction activities would
likewise increase noise levels above the ambient. The City is aware that construction tools and
activities generate noise. As such, the City is focused on limiting noise from these activities to the
least noise sensitive portions of the day. For the purpose of providing a construction noise analysis
per CEQA, the comparison of construction noise against ambient noise levels is not useful
because it will almost always be higher than the ambient. This approach would lead to all projects
large and small that involve construction vehicles or power tools in developed areas to have to
prepare an EIR. As such, comparison of project construction noise levels solely to ambient noise
levels does not provide a useful analysis of potential noise nuisance associated with construction
activities.
The commenter states the IS/MND “claims, without evidence, that the Project will have no
operational noise impact, and goes on to assert the HVAC system was inadequately addressed
and the proposed parking garage’s entrance and ventilation system must be addressed as
potential noise sources. On the contrary, page 3-79 of the IS/MND states the Project would have
a less than significant impact related to noise generated by on-site sources. Under CEQA, no
impact and a less than significant impact are distinct findings. Regarding on-site stationary source
noise, the analysis clearly provides actionable performance standards in Sections 4310.3(c) and
4630.2 of the AMC. The IS/MND properly used the City’s codified noise limit as the basis for the
stationary source impact finding. As such, the conclusion that on-site stationary noise sources,
including those not expressly discussed such as parking garage-related sounds, would be less
than significant is based on substantial evidence and this analysis is therefore complete.
Section 3.13, Noise, of the IS/MND includes a full analysis of the Project’s potential impacts to
noise and vibration during construction and operation both on- and off-sit, as applicable and
concludes there would be less than significant impacts with implementation of mitigation MM NOI-
1, related to vibration. No significant impacts related to noise are identified and no mitigation is
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required (see pages 3-70 through 3-85 of the IS/MND). The IS/MND thoroughly and logically
reviewed and discussed the potential noise impacts from construction and operation of the Project
based on established best practices for such analyses in the context of CEQA assessment. No
changes to the IS/MND are necessary; however, the comment is noted for the administrative
record and will be forwarded to the decision-makers.
Response 2.7: This comment states there is a fair argument that the Project may result in
significant adverse air quality and greenhouse gas (GHG) emissions impacts. The comment
states the IS/MND relies on inadequate air quality and GHG emissions analyses, the Project may
result in significant air pollutant health risks not adequately addressed in the IS/MND, and the
IS/MND does not include all feasible air quality mitigation measures.
Though not disclosed in commenter’s remarks, the close of the comments from SWAPE, provided
in Exhibit C to commenter’s letter, provides perhaps the most relevant observation regarding the
comments provided on the IS/MND’s air quality and GHG emissions analyses [emphasis added]:
“Disclaimer
SWAPE has received limited documentation regarding this project. Additional
information may become available in the future; thus, we retain the right to revise
or amend this report when additional information becomes available. Our
professional services have been performed using that degree of care and skill
ordinarily exercised, under similar circumstances, by reputable environmental
consultants practicing in this or similar localities at the time of service. No other
warranty, expressed or implied, is made as to the scope of work, work
methodologies and protocols, site conditions, analytical testing results, and
findings presented. This report reflects efforts which were limited to information
that was reasonably accessible at the time of the work, and may contain
informational gaps, inconsistencies, or otherwise be incomplete due to the
unavailability or uncertainty of information obtained or provided by third parties.”
It is noted this disclaimer is consistently provided in SWAPE’s comment letters. The commenter
is correct in that CalEEMod provides default model inputs that are used across the industry and
that it could be changed if more accurate or project-specific information is available. The default
model inputs were developed based on a set of information that may or may not be representative
of any given project. As such, the SCAQMD allows users to modify these computer model inputs
if there is better available data that is more representative of any given project.
Accordingly, the air quality and GHG emissions modeling prepared for the Project were based on
detailed, Project-specific information derived through a specialized data needs form and extensive
coordination with the Applicant. CalEEMod inputs were changed where appropriate and
warranted, as is typical to ensure an accurate result and is industry standard practice.
Commenter states that “SWAPE found that the MND and its air quality technical reports in
Appendix A [of the IS/MND] failed to provide complete CalEEMod output files. Its files included
land use input but omitted all other qualitative [sic] outputs regarding the Project’s construction
and operational emissions, and they also omitted details on changes to the model’s default
values.
Upon review of the Appendix A files, pursuant to this comment, Psomas discovered that there
were some sections of the .PDF output by CalEEMod that did not populate with the modeled data
used in the IS/MND for the proposed conditions; however, all data was populated in the output
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files for the existing conditions. Other than a software glitch, Psomas cannot define why these
values did not populate in the output file and it had never been observed prior to or since this
event. Specifically, the following sections of the CalEEMod .PDF output for the proposed
conditions were not populated:
x Section 2-Emissions Summary
x Section 3-Construction Emissions Details
x Section 4-Operations Emissions Details
x Section 5-Activity Data
x Section 8-User Changes to Default Data
Nevertheless, all relevant inputs and all quantitative outputs were provided in the body of the
IS/MND. Specifically, the quantitative “outputs regarding the Project’s construction and
operational emissions” (e.g., Sections 2 through 4) were provided in Table 8, Estimated Maximum
Daily Regional Construction Emissions, on page 3-23 of the IS/MND; Table 9, Existing Daily
Operational Emissions, on page 3-24; Table 10, Peak Daily Net Operational Emissions, on page
3-25; Table 13, Energy Use During Construction, on page 3-38; Table 14, Energy Use During
Operations, on page 3-38; Table 15, Estimated Annual Greenhouse Gas Emissions From
Construction, on page 3-49; Table 16, Estimated Annual Greenhouse Gas Emissions From
Existing Use, on page 3-50; Table 17, Estimated Annual Greenhouse Gas Emissions From
Project Operation, on page 3-50; and Table 18, Estimated Total Annual Greenhouse Gas
Emissions, on page 3-51. Project-specific inputs, including gross and net values where applicable,
are provided throughout Section 2.0, Environmental Setting and Project Description, and in the
text of Section 3.3, Air Quality; Section 3.6, Energy; Section 3.8, Greenhouse Gas Emissions;
Section 3.10, Hydrology and Water Quality; and Section 3.19, Utilities and Service Systems,
among others.
Commenter states “without access to this data, SWAPE was unable to verify the potential
significance and accuracy of the MND air quality modeling”. “SWAPE concluded that “[a]n EIR
should be prepared to disclose the Project’s complete CalEEMod output files and adhere to
CEQA’s formal guidelines”. The implication that, absent the commenter’s verification, the
IS/MND’s air quality and GHG emissions analyses are necessarily inaccurate is without merit
implicitly and unsubstantiated, as discussed further below. The sole reason an EIR is required
under CEQA is when a project will have a significant, adverse environmental impact that cannot
be feasibly mitigated to below a level of significance. Ergo, disclosure of the “complete CalEEMod
output files” is irrelevant to the determination of appropriate CEQA documentation. Additionally,
provision of the CalEEMod outputs is not required under CEQA or the State CEQA Guidelines–it
is assumed this is what is meant by “CEQA’s formal guidelines”–it is simply the industry standard
practice.
As noted, Appendix A, Air Quality and Greenhouse Gas Emissions Calculations, of the IS/MND
dated November 2024 contained the output files for (1) the existing land uses and operations on
the site, and (2) the proposed Project’s construction and operational air quality and GHG
emissions. The output file for the proposed conditions was downloaded from CalEEMod on
August 4, 2023. The corresponding .JSON2 output file that was created in August 2023; and used
to quantify the emissions presented in the IS/MND; was uploaded into CalEEMod on January 6,
2025, to generate the resulting .PDF output files. This .PDF has been included as Appendix B of
this Response to Comments Memorandum.
2 CalEEMod files are output in both .PDF and .JSON (JavaScript Object Notation) formats; the .JSON file is what is
used during preparation of technical analyses of air quality and GHG emissions, as well as energy.
Arcadia Town Center Project
Response to Comments Memorandum
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Responses to Comments
It is noted that the Project’s emissions were originally quantified with CalEEMod Version
2022.1.1.13 and the current software is CalEEMod Version 2022.1.1.29; as such, several updates
to CalEEMod have been made since preparation of the air quality and GHG emissions analysis.
Therefore, the resulting output values include a small number of changes to the values originally
presented in the IS/MND; however, the differences are nominal in magnitude and do not represent
a new or more significant impact related to air quality or GHG emissions than disclosed in the
IS/MND. Additionally, the changes in values are solely the result of periodic updates to the
software and are not related to the accuracy of the analysis or veracity of the resulting conclusions
in the IS/MND. Presented beginning on the next page are side-by-side comparisons of the values
presented in the air quality and GHG emissions sections of the IS/MND and the values generated
in the current CalEEMod run presented in Appendix B.
As shown in the comparison of IS/MND Table 8, the mass (regional) construction emissions of
volatile organic compounds (VOCs), nitrogen oxides (NOx), and carbon monoxide (CO) are
slightly lower, with values ranging from one to five pounds per days (lbs/day) less emissions. All
other values are identical. Consistent with the conclusions in the IS/MND, all maximum daily
construction emissions would be well below the South Coast Air Quality Management District
(SCAQMD) significance thresholds for all criteria air pollutants.
As shown in the comparison of IS/MND Table 10, the peak daily net operational emissions are
identical. Consistent with the conclusions in the IS/MND, all net daily operational emissions would
be well below the SCAQMD significance thresholds for all criteria air pollutants.
As shown in the comparisons of IS/MND Tables 15, 17, and 18, the construction GHG emissions
are slightly higher for construction year 2024 and slightly lower for years 2025 and 2026. On
balance, the total construction GHG emissions are 36 metric tons of carbon dioxide equivalent
per year (MTCO2e/yr) higher. When amortized, consistent with SCAQMD recommendations, the
annual construction GHG emissions are 2 MTCO2e/yr higher. The total and net operational GHG
emissions are identical. Therefore, as shown in the comparison of Table 18, the net total annual
GHG emissions are 2 MTCO2e/yr higher, or approximately 0.1 percent. Consistent with the
conclusions in the IS/MND, this value would remain below the draft SCAQMD Tier 3 screening
threshold (e.g., 3,000 MTCO2e/yr for all land use types).
Arcadia Town Center Project
Response to Comments Memorandum
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IS/MND TABLE 1
ESTIMATED MAXIMUM DAILY REGIONAL CONSTRUCTION EMISSIONS
(CALEEMOD VERSION 2022.1.1.13)
Yeara
Emissions (lbs/day)
VOC NOx CO SOx PM10 PM2.5
2024 3 27 23 <1 5 2
2025 2 13 22 <1 3 1
2026 23 20 35 <1 3 1
Maximum 23 27 36 <1 5 2
SCAQMD Thresholds (Table 7) 75 100 550 150 150 55
Exceeds SCAQMD Thresholds? No No No No No No
lbs/day: pounds per day; VOC: volatile organic compound; NOx: nitrogen oxides; CO: carbon monoxide; SOx: sulfur
oxides; PM10: respirable particulate matter 10 microns or less in diameter; PM2.5: fine particulate matter 2.5 microns or
less in diameter; SCAQMD: South Coast Air Quality Management District.
a When this analysis was conducted, construction of the Project was anticipated to begin in 2024. As vehicle emissions
generally improve over time, this analysis remains applicable.
Source: SCAQMD 2019 (thresholds); see Appendix A for CalEEMod model outputs.
ESTIMATED MAXIMUM DAILY REGIONAL CONSTRUCTION EMISSIONS
(CALEEMOD VERSION 2022.1.1.29)
Yeara
Emissions (lbs/day)
VOC NOx CO SOx PM10 PM2.5
2024 2 22 23 <1 5 2
2025 2 13 22 <1 2 1
2026 22 19 33 <1 3 1
Maximum 22 22 33 <1 5 2
SCAQMD Thresholds (Table 7) 75 100 550 150 150 55
Exceeds SCAQMD Thresholds? No No No No No No
lbs/day: pounds per day; VOC: volatile organic compound; NOx: nitrogen oxides; CO: carbon monoxide; SOx: sulfur
oxides; PM10: respirable particulate matter 10 microns or less in diameter; PM2.5: fine particulate matter 2.5 microns or
less in diameter; SCAQMD: South Coast Air Quality Management District.
a When this analysis was conducted, construction of the Project was anticipated to begin in 2024. As vehicle emissions
generally improve over time, this analysis remains applicable.
Source: SCAQMD 2019 (thresholds); see Appendix A for CalEEMod model outputs.
Arcadia Town Center Project
Response to Comments Memorandum
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IS/MND TABLE TABLE 2
PEAK DAILY NET OPERATIONAL EMISSIONS
(CALEEMOD VERSION 2022.1.1.13)
Source
Emissions (lbs/day)
VOC NOx CO SOx PM10 PM2.5
Mobile sources 5 4 43 <1 9 2
Area sources 4 <1 <1 <1 <1 <1
Energy sources <1 1 1 <1 <1 <1
Total Operational Emissions* 9 5 44 <1 10 3
Less: Existing Emissions (Table 9) 3 1 16 <1 1 <1
Net Increase in Emissions 6 4 28 <1 9 3
SCAQMD Significance Thresholds (Table 7) 55 55 550 150 150 55
Significant Impact? No No No No No No
lbs/day: pounds per day; VOC: volatile organic compounds; NOx: nitrogen oxides; CO: carbon monoxide; SOx: sulfur oxides;
PM10: respirable particulate matter 10 microns or less in diameter; PM2.5: fine particulate matter 2.5 microns or less in diameter;
SCAQMD: South Coast Air Quality Management District.
* Some totals do not add due to rounding.
Source: CalEEMod model data sheets are included in Appendix A.
PEAK DAILY NET OPERATIONAL EMISSIONS
(CALEEMOD VERSION 2022.1.1.29)
Source
Emissions (lbs/day)
VOC NOx CO SOx PM10 PM2.5
Mobile sources 5 4 43 <1 9 2
Area sources 4 <1 <1 <1 <1 <1
Energy sources <1 1 1 <1 <1 <1
Total Operational Emissions* 9 5 44 <1 10 3
Less: Existing Emissions (Table 9) 3 1 16 <1 1 <1
Net Increase in Emissions 6 4 28 <1 9 3
SCAQMD Significance Thresholds (Table 7) 55 55 550 150 150 55
Significant Impact? No No No No No No
Arcadia Town Center Project
Response to Comments Memorandum
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IS/MND TABLE TABLE 3
ESTIMATED ANNUAL GREENHOUSE GAS EMISSIONS
FROM CONSTRUCTION
(CALEEMOD VERSION 2022.1.1.13)
Year
Emissions
(MTCO2e)
2024 631
2025 642
2026 301
Total 1,574
Annual GHG Emissions* 52
MTCO2e: metric tons of carbon dioxide equivalent
* Combined total amortized over 30 years
Notes:
x Totals may not add due to rounding
x Detailed calculations in Appendix A.
ESTIMATED ANNUAL GREENHOUSE GAS EMISSIONS
FROM CONSTRUCTION
(CALEEMOD VERSION 2022.1.1.29)
Year
Emissions
(MTCO2e)
2024 705
2025 619
2026 286
Total 1,610
Annual GHG Emissions* 54
MTCO2e: metric tons of carbon dioxide equivalent
* Combined total amortized over 30 years
Notes:
x Totals may not add due to rounding
x Detailed calculations in Appendix A.
Arcadia Town Center Project
Response to Comments Memorandum
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IS/MND TABLE TABLE 4
ESTIMATED ANNUAL GREENHOUSE GAS
EMISSIONS FROM PROJECT OPERATION
(CALEEMOD VERSION 2022.1.1.13)
Source
Emissions
(MTCO2e/yr.)
Mobile 1,519
Energy 528
Water 51
Waste 63
Refrigerants 2
Stationary 18
Total 2,181
MTCO2e/yr.: metric tons of carbon dioxide equivalent per year
Notes:
x Totals may not add due to rounding
x Detailed calculations in Appendix A.
ESTIMATED ANNUAL GREENHOUSE GAS
EMISSIONS FROM PROJECT OPERATION
(CALEEMOD VERSION 2022.1.1.29)
Source
Emissions
(MTCO2e/yr.)
Mobile 1,519
Energy 528
Water 51
Waste 63
Refrigerants 2
Stationary 18
Total 2,181
MTCO2e/yr.: metric tons of carbon dioxide equivalent per year
Notes:
x Totals may not add due to rounding
x Detailed calculations in Appendix A.
Arcadia Town Center Project
Response to Comments Memorandum
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IS/MND TABLE TABLE 5
ESTIMATED TOTAL ANNUAL GREENHOUSE GAS EMISSIONS
(CALEEMOD VERSION 2022.1.1.13)
Source
Emissions
MTCO2e/yr
Construction (amortized) (from Table 15) 52
Operations (from Table 17) 2,181
Net Reduction: Existing Emissions (from Table 16) -504
Total 1,729
MTCO2e/yr: metric tons of carbon dioxide equivalent per year.
ESTIMATED TOTAL ANNUAL GREENHOUSE GAS EMISSIONS
(CALEEMOD VERSION 2022.1.1.29)
Source
Emissions
MTCO2e/yr
Construction (amortized) (from Table 15) 54
Operations (from Table 17) 2,181
Net Reduction: Existing Emissions (from Table 16) -504
Total 1,731
MTCO2e/yr: metric tons of carbon dioxide equivalent per year.
Arcadia Town Center Project
Response to Comments Memorandum
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Responses to Comments
Similar to the remarks provided above, the commenter states that because the “CalEEMod output
files did not provide the emission estimates or any relevant inputs aside from land uses”,
commenter is “unable to verify the legitimacy of the GHG emissions estimates” and, as a result,
the GHG emissions estimates “could be under estimated”. Commenter states that they cannot
ensure the Project’s GHG emissions are accurately calculated and as such the IS/MND’s analysis
should not be relied upon. However, as discussed, all assertions made by SWAPE regarding the
adjustments made to the default CalEEMod inputs are unsupported. Accordingly, the
commenter’s assertion that the IS/MND’s GHG emissions analysis and conclusions cannot be
relied upon without their full review is also incorrect and unsupported. As established above, the
IS/MND thoroughly reviewed and discussed the potential for GHG emissions from the Project’s
construction and operation based on established best practices for such analyses.
Commenter states the Project violates CEQA by not connecting the construction-related
emissions of diesel particulate matter (DPM) to potential health risks to nearby sensitive receptors
through preparation of a health risk “analysis” [sic] (HRA). The comment continues with
description of commenter’s preparation of an HRA using their own CalEEMod results, which as
discussed are incorrect and unsupported. Please refer to the analysis in Section 3.3, Air Quality,
of the IS/MND, under Threshold 3.3(c) (page 3-27) that states that there would be relatively few
pieces of off-road, heavy-duty diesel equipment in operation, and the total construction period
would be relatively short when compared to a 40-year exposure period. This fact, combined with
the highly dispersive properties of DPM, the relatively large distance between the Project site and
the nearest sensitive land uses, and additional reductions in particulate emissions from newer
construction equipment as required by federal and State regulations, construction emissions of
TACs would not expose sensitive receptors to substantial emissions of TACs. Impacts were
determined to be less than significant, and no mitigation is required.
In summary, there is no evidence to support any of commenter’s assertions regarding the
IS/MND’s air quality and GHG emissions analyses as the evidence provided is unsubstantiated
or inaccurate. Section 3.3, Air Quality, and Section 3.8, Greenhouse Gas Emissions, of the
IS/MND include a full analysis of the Project’s potential impacts to air quality and GHG emissions,
respectively, and concluded there would be less than significant impacts and no mitigation was
required (see pages 3-9 through 3-28 and pages 3-46 through 3-52 of the IS/MND). No changes
to the IS/MND are necessary; however, the comment is noted for the administrative record and
will be forwarded to the decision-makers.
Response 2.8: This comment states there is a fair argument that the Project may result in
significant adverse indoor air quality impacts, specifically cancer risk related to formaldehyde
emissions from building materials.
There is no evidence to support the assertion that operation of the Project would expose people
to a significant health risk related to indoor air quality from formaldehyde in building materials.
Even if the assertions regarding the health risk of future residents and visitors to the Project had
merit, this does not represent an impact of the Project on the environment nor an exacerbation of
an existing impact and as such is not relevant to the CEQA process. Accordingly, the Project’s
indoor air quality is not a legitimate environmental impact that is appropriate to address in the
IS/MND nor does the Project exacerbate an existing impact. Therefore, these assertions are
irrelevant to the CEQA process; and commenter’s assertions this represents a new significant
environmental impact and must be addressed in an EIR, are unsupported by the requirements of
CEQA and the State CEQA Guidelines as well as case law (Baird v. County of Contra Costa, 32
Cal.App.4th 1464; California Building Industry Association v Bay Area Air Quality Management
District [S213478, December 17, 2015]). No changes to the IS/MND are necessary; however, the
comment is noted for the administrative record and will be forwarded to the decision-makers.
Arcadia Town Center Project
Response to Comments Memorandum
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Responses to Comments
Response 2.9: The remaining portions of the comment letter are noted for the record and will be
forwarded to the decision-makers. Exhibits A through D of this comment letter can be found in
Appendix A to this Response to Comments Memorandum.
Attachment No. 3
Attachment No. 3
Architectural Plans and TTM 21-02 (83325)