* — \
*1 PROt^
DOCUMENTATION FOR AIRCRAFT,
COMMERCIAL MARINE VESSEL,
LOCOMOTIVE, AND OTHER NONROAD
COMPONENTS OF THE NATIONAL
EMISSIONS INVENTORY - Volume 1
Methodology

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EPA-454/B-20-023a
September 2005
DOCUMENTATION FOR AIRCRAFT, COMMERCIAL MARINE VESSEL,
LOCOMOTIVE, AND OTHER NONROAD COMPONENTS OF THE NATIONAL
EMISSIONS INVENTORY - Volume 1 Methodology
Prepared by:
E.H. Pechan & Associates, Inc.
3622 Lyckan Parkway, Suite 2002
Durham, NC 27707
And
Eastern Research Group, Inc.
1600 Perimeter Park Drive
Suite 200
Morrisville, North Carolina 27560
Prepared for:
Laurel Driver
Emission Factor and Inventory Group (D205-01)
Emissions, Monitoring and Analysis Division
U.S. Environmental Protection Agency
Research Triangle Park, North Carolina 27711
Contract No. 68-D-02-063
Work Order No. 3-01
U.S. Environmental Protection Agency
Office of Air Quality Planning and Standards
Air Quality Assessment Division
Research Triangle Park, NC

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DOCUMENTATION FOR AIRCRAFT, COMMERCIAL MARINE
VESSEL, LOCOMOTIVE, AND OTHER NONROAD COMPONENTS OF
THE NATIONAL EMISSIONS INVENTORY
Volume I - Methodology
Prepared by:
Eastern Research Group, Inc.
1600 Perimeter Park Drive
Suite 200
Morrisville, North Carolina 27560
Prepared for:
E.H. Pechan & Associates, Inc.
3622 Lyckan Parkway
Suite 2002
Durham, North Carolina 27707
For Submittal to:
Laurel Driver
Emission Factor and Inventory Group (D205-01)
Emissions, Monitoring and Analysis Division
U.S. Environmental Protection Agency
Research Triangle Park, North Carolina 27711

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TABLE OF CONTENTS
Section	Page
1.0 INTRODUCTION	 1-1
1.1	What is the National Emission Inventory? 	1-1
1.2	Why Did the EPA Create the NEI? 	1-1
1.3	How is the EPA Going to Use This Version of the NEI? 	1-2
1.4	Report Organization	1-3
2.0 DEVELOPMENT OF THE AIRCRAFT, COMMERCIAL MARINE VESSEL,
LOCOMOTIVE, AND OTHER NONROAD COMPONENTS FOR THE NEI 	2-1
2.1	Aircraft	2-10
2.1.1	What are Aircraft Sources? 	2-10
2.1.2	What Pollutants are Included in that National Emission Estimates for
Aircraft?	2-11
2.1.3	How Were Aircraft Emissions Estimated? 	2-12
2.1.4	How Were National Emissions Allocated to Individual Counties? . . .	2-16
2.1.5	Data Provided by States	2-17
2.1.6	What are the Results? 	2-22
2.1.7	Aircraft References 	2-24
2.2	Commercial Marine Vessels 	2-26
2.2.1	What are Commercial Marine Vessels? 	2-26
2.2.2	What Pollutants are Included in the National Emission Estimates for
CMVs?	2-26
2.2.3	How Were the CMV Emissions Estimated? 	2-27
2.2.4	How Were National Emissions Allocated to Individual Counties? . . . 2-29
2.2.5	State Provided Data	2-30
2.2.6	What are the Results? 	2-34
2.2.7	Commercial Marine Vessel References	2-36
2.3	Locomotives 	2-39
2.3.1	What are Locomotive Sources?	2-39
2.3.2	What Pollutants are Included in the National Emission Estimates for
Locomotives?	2-39
2.3.3	How Were Locomotive Emissions Estimated? 	2-40
2.3.4	How Were National Emissions Allocated to Individual Counties? . . . 2-42
2.3.5	Data Provided Data 	2-43
2.3.6	What are the Results? 	2-43
2.3.7	Locomotive References	2-51
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TABLE OF CONTENTS (Continued)
Section	Page
2.4 Other Nonroad Mobile Sources	2-53
2.4.1	What are Other Nonroad Mobile Sources? 	2-53
2.4.2	What Pollutants are Included?	2-53
2.4.3	How Were the Other Nonroad Vehicle and Equipment
Emissions Estimates 	2-54
2.4.4	How Were National Emissions Allocated to Individual Counties? . . .	2-58
2.4.5	State Provided Data	2-58
2.4.6	What are the Results? 	2-59
2.4.7	Other Nonroad Mobile Source References 	2-61
3.0 COMPILING THE INVENTORY DATA INTO THE NEI DATABASE	3-1
4.0 WHAT ARE THE LIMITATIONS OF THIS AIRCRAFT, COMMERCIAL MARINE
VESSEL, LOCOMOTIVE, AND OTHER NONROAD INVENTORY?	4-1
5.0 QUALITY ASSURANCE PROCEDURES 	5-1
5.1	Introduction 	5-1
5.2	Quality Checks Performed on Nationally-Derived Emission Estimates	5-2
5.2.1	Evaluate Emission Estimating Procedures	5-2
5.2.2	Review Emission Factors and Speciation Profiles	5-3
5.2.3	Activity Data 	5-3
5.2.4	Check Other Input Data	5-4
5.2.5	Check Output Data	5-4
5.2.6	Identify Outliers	5-4
5.2.7	Compare with Historical Data	5-5
5.3	Quality Checks Performed on S/L/T Submitted Emission Estimates 	5-6
5.3.1	Evaluate Database Structures	5-6
5.3.2	Identify Inappropriate Codes	5-6
5.3.3	Removal of Non-Criteria Pollutants and HAPs	5-7
5.3.4	Compare Submitted Estimates for Consistency	5-7
5.3.5	Comparison with Nationally-Derived Emission Estimates	5-8
5.4	Quality Checks Performed on NEI Database	5-8
5.4.1	Identify Data Gaps	5-8
5.4.2	Insure Data Fields are Correctly Populated	5-9
5.5	Peer Review of Draft Emission Estimates	5-9
5.6	Development of Final Emission Estimates 	5-9
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TABLE OF CONTENTS (Continued)
Section	Page
5.7 Quality Checks Performed on S/L/T Output Data Files 	5-10
5.7.1	Check Record Counts 	5-10
5.7.2	Insure That All States are Included 	5-10
6.0 INFORMATION QUALITY GUIDELINES	6-1
6.1	Overview 	6-1
6.2	Purpose of the National Emission Inventory	6-2
6.3	Potential Uses	6-3
6.4	Pre-dissemination Checklist	6-3
6.4.1	EPA Information Quality Guidelines	6-4
6.4.2	Product Content - Inputs, Methodologies, and Outputs	6-4
6.4.3	Transparency of Data Development Process	6-5
6.4.4	Data Ranking of the Emission Estimates	6-7
6.4.5	Product Limitations and Caveats	6-8
6.4.6	Contact Information	6-11
6.4.7	EPA Disclaimer	6-12
Appendix A Aircraft Emission Estimation Methodology 	 A-l
Appendix B Commercial Marine Vessels Emission Estimation Methodology	B-l
Appendix C Locomotive Emission Estimation Methodology	C-l
Appendix D	Other Nonroad Mobile Source Emission Estimating Methods and Data .... D-l
Appendix E State Database Summary Sheets for Draft NEI	E-l
Appendix F NEI Pollutant Codes for Hazardous Air Pollutants	F-l
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LIST OF TABLES AND FIGURES
Table	Page
2-1 Methods Used to Develop Annual Emission Estimates for Other
Nonroad Mobile Sources	2-2
2-2	Summary of State Submitted Aircraft Data		2-19
2-3	Aircraft Criteria Emission Estimates 1978-2002 (TPY) 		2-23
2-4	Aircraft HAP Emission Estimates 1990-2002 (TPY) 		2-23
2-5	Summary of State Submitted CMV Data		2-31
2-6	Commercial Marine Vessel Criteria Emission Estimates 1978-2001 (TPY) 		2-35
2-7	Commercial Marine Vessel HAP Emission Estimates 1990-1999 (TPY)		2-35
2-8	State Submitted Locomotive Data 		2-44
2-9	Locomotive Criteria Estimates 1979-2001 (TPY)		2-49
2-10 Locomotive HAP Emission Estimates 1990-1999 (TPY)		2-49
2-11	Summary of State Submitted Other Nonroad Data	2-59
2-12 Other Nonroad HAP Emissions Estimates for 1990-1999 		2-60
Figures	Page
2-1 Procedures for Estimating Emissions from Commercial Air Carriers	2-13
2-2 Procedures for Estimating Emissions from Air Taxis and General Aviation 	2-15
2-3 Procedures for Estimating Emissions for CMV	2-28
2-4 Overview of Approach Use to Estimate National Criteria Pollutant and
HAP Emissions 	2-41
2-5 Overview of Methods Used to Estimate County Level HAP Emission from Nonroad
Mobile Sources 	2-55
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1.0 INTRODUCTION
1.1	What is the National Emission Inventory?
The National Emission Inventory (NEI) is a comprehensive inventory covering all criteria
pollutants and hazardous air pollutants (HAPs) for all areas of the United States. The NEI was
created by the U.S. Environmental Protection Agency's Emission Factor and Inventory Group
(EFIG) in Research Triangle Park, North Carolina.
This report presents an overview of how emission estimates for the aircraft, commercial
marine vessel (CMV), locomotive, and other nonroad engine components of the NEI were
compiled. The other nonroad engines and equipment include a diverse list of portable equipment
not included in any of the other mobile source categories, such as: lawn and garden equipment,
construction equipment, engines used in recreational activities, portable industrial, commercial,
and agricultural engines. Note, the equipment included in this category are equipment and
engine types included in the NONROAD model.
The NEI will be used to support air quality modeling and other activities. To this end, the
EPA established a goal to compile comprehensive emissions data in the NEI for criteria and
HAPs for mobile, point, and nonpoint sources.
1.2	Why Did the EPA Create the NEI?
The Clean Air Act (CAA), as amended in 1990, includes mandates for the EPA related to
criteria and hazardous air pollutants. The CAA defines criteria pollutants as being one of the
following air pollutants:
~	Carbon monoxide (CO);
~	Sulfur oxides (SOx);
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~	Nitrogen oxides (NOx);
~	Ozone; and
~	Particulate matter (PM).
Ammonia (NH3) is an important precursor to PM fine formation. However, NH3 is not
included in any sources covered in this documentation, though states may have provided
estimates for this pollutant, these states submitted estimates have been incorporated into the NEI.
Hazardous air pollutants are also delineated in the CAA, see
http://www.epa. gov/ttn/atw/188polls.html for a complete list of regulated pollutants and their
chemical abstract service [CAS] numbers. Note, estimates were not developed for mercury and
arsenic, in light of uncertainty associated with the emission estimates methods used in previous
NEI data sets.
The CAA requires the EPA to identify emission sources of these pollutants, quantify
emissions, develop regulations for the identified source categories, and assess the public health
and environmental impacts after the regulations are put into effect. The NEI is a tool that EPA
can use to meet the CAA mandates. In this report, criteria and HAP emission estimates are
discussed for aircraft, CMV, locomotives and other nonroad mobile sources (HAP pollutants for
1990, 1996, and 1999 only).
1.3 How is the EPA Going to Use This Version of the NEI?
It is anticipated that the emission inventory developed from this effort will have multiple
end uses. The data have been formatted according to protocols established for the EPA's NEI
submittals. The common data structure on which the NEI platform is based will allow the NEI
emission data to be transferred to multiple end-users for a variety of purposes.
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The criteria and HAP emission estimates developed for the NEI will be incorporated into
the annual EPA publication entitled National Emissions Trends Report, which is used to evaluate
air pollution trends over time. The NEI is also a critical component of the EPA's national Air
Toxics Program (as described in EPA's July 19, 1999 Federal Register notice, 64 FR 38706).
The initial objective is to make the data available for air quality modeling use in the National Air
Toxics Assessment (NATA).
1.4 Report Organization
Note this report updates the February 4, 2005 version to include the revised emission
estimates provided by States for all source categories for 2002.
Following this introduction, Section 2.0 provides information on how the national
aircraft, CMV, locomotive, and other nonroad emission estimates were developed, and how state
and local inventory data were incorporated. This inventory effort was coordinated by the EPA's
Office of Transportation and Air Quality (OTAQ) and EFIG. Section 3.0 provides information
on how the inventory data were compiled into a common data structure. Section 4.0 discusses
the limitations of the data.
The appendix were created to provide technical details on how the national emissions
were developed and how state and local inventory data (when provided) were incorporated into
the national estimates. Appendix A provides details on how aircraft criteria and HAP emissions
were estimated. Appendix B provides details on how criteria and HAP emissions were
developed for CMVs. Appendix C includes the criteria and HAP estimating methodologies used
for locomotives. Appendix D documents the methods used to estimate HAP emissions from
other nonroad engine sources. Appendix E provides summaries of the submitted state and local
data. Appendix F presents the complete NEI pollutant code dictionary of HAPs.
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2.0 DEVELOPMENT OF THE AIRCRAFT, COMMERCIAL MARINE
VESSEL, LOCOMOTIVE AND OTHER NONROAD COMPONENTS
FOR THE NEI
The NEI was developed to include all point, nonpoint (area), and mobile sources. The
approaches used in the point and nonpoint source categories are documented in other reports.
Table 2-1 summarizes the approaches used to estimate emissions from all nonroad sources
included in the NEI program. Those source categories and years that are included in this report
are noted in bold.
The scope of this inventory component of the NEI was to compile criteria and HAP
emissions data for aircraft, CMV, and locomotives and HAP emissions for other nonroad engines
operating in the United States. In this effort, national emission estimates were often developed
for each of the above source categories and allocated to counties based on available Geographic
Information System (GIS) data. For some pollutants associated with the other nonroad source
category, county-level (instead of national) data were used to estimate emissions. The
methodologies used to estimate emissions and the procedures used to spatially allocate them to
the county-level are discussed in greater detail in this section, with supplemental data provided in
Appendices A, B, C, and D. In Volume 2 of this report, reference material used in this inventory
effort that are unpublished or difficult to locate are provided.
Concurrent with the development of the national emission estimates, state and local
agencies developed and provided to the EPA, emissions inventory data for their areas based on
local knowledge and activity information. These state and local agency data replaced the
national emission estimates when the pollutant, source category, and emission type matched with
the national estimates. Submitted state and local data that did not match the nationally-derived
data were retained along with the national estimates. State and local data were used as provided
and never adjusted to better match the national data. It should be noted that state data that were
not provided in the appropriate NIF format could not be incorporated into the NEI.
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Table 2-1. Methods Used to Develop Annual Emission Estimates for
Nonroad Mobile Sources
(categories included in this report are noted in bold print)
Category
Base Year
Pollutantfs)
Estimation Method*
NONROAD Categories
Nonroad
Gasoline,
Diesel, LPG,
CNG
2002
VOC, NOx, CO, S02,
PM10, PM25, NH3, &
HAPs
Emission estimates for NONROAD model engines were
developed using EPA's National Mobile Inventory
Model (NMIM), which incorporates NONROAD2004.
Where states provided alternate nonroad inputs, these
data replaced EPA default inputs. State-supplied
emissions data also replaced default EPA emission
estimates.

1999
VOC, NOx, CO, S02,
PM10, PM2 5
Using emission estimates from two emission inventories
including: 1) a 1996 county-level inventory, developed
using EPA's October 2001 draft NONROAD model; and
2) an updated 1999 national inventory, based on EPA's
draft Lockdown C NONROAD model (dated May 2002).
Using the 1996 county-level emission estimates, seasonal
and daily county-to-national ratios were then developed
for application to updated national estimates per season
estimated from the Lockdown C model. Replaced State-
submitted data for California for all NONROAD model
categories; Pennsylvania for recreational marine and
aircraft ground support equipment, and Texas for select
equipment categories.

1996, 1997,
1998, 2000 &
2001
VOC, NOx, CO, S02,
PM10, PM2 5
Using emission estimates from two emission inventories
including: 1) a 1996 county-level inventory, developed
using EPA's October 2001 draft NONROAD model; and
2) updated year-specific national and California
inventories, based on EPA's draft Lockdown C
NONROAD model (dated May 2002). Using the 1996
county-level emission estimates, seasonal and daily
county-to-national ratios and California county-to-state
ratios were then developed for application to updated
national estimates per season estimated from the
Lockdown C model. California results replace the diesel
equipment emissions generated from prior application of
county-to-national ratios.

1991-1995
VOC, NOx, CO, S02,
PM10, PM2 5, NH3
Using 1990 and 1996 county-level emissions inventories,
estimated emissions using linear interpolation of national
emissions between 1990 and 1996. From these
emissions, calculated the average annual growth rate for
each pollutant/SCC combination for each year, and then
applied the growth factors to 1990 county-level
emissions to estimate 1991-1995 emissions.
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Table 2-1. Methods for Developing Annual Emission Estimates for
Nonroad Mobile Sources (Continued)
(categories included in this report are noted in bold print)
Category
Base Year
Pollutantfs)
Estimation Method*
Nonroad
Gasoline,
Diesel, LPG, and
CNG
(Continued)
1990
VOC, NOx, CO, S02,
PM10, PM2 5
Using emission estimates from two emission inventories
including: 1) a 1996 county-level inventory, developed
using EPA's October 2001 draft NONROAD model; and
2) updated 1990 national inventory, based on EPA's
draft Lockdown C NONROAD model (dated May 2002).
Using the 1996 county-level emission estimates, seasonal
and daily county-to-national ratios were then developed
for application to updated national estimates per season
estimated from the Lockdown C model.

1986, 1988, &
1989
VOC, NOx, CO, S02,
PM10, PM2 5, NH3
Using 1985 and 1990 county-level emissions inventories,
estimated emissions using linear interpolation of national
emissions between 1985 and 1990. From these
emissions, calculated the average annual growth rate for
each pollutant/SCC combination for each year, and then
applied the growth factors to 1985 county-level
emissions to estimate 1986-1989 emissions.

1987
VOC, NOx, CO, S02,
PM10, PM2 5
Using EPA's draft Lockdown C NONROAD model
(dated May 2002), developed updated national emissions
for 1987 by running 4 seasonal NONROAD model runs
to estimate annual criteria pollutant emissions. Also
performed national NONROAD model runs to estimate
typical summer weekday emissions.

1985
VOC, NOx, CO, S02,
PM10, PM2 5
Using emission estimates from two emission inventories
including: 1) a 1996 county-level inventory, developed
using EPA's October 2001 draft NONROAD model; and
2) updated 1985 national inventory, based on EPA's
draft Lockdown C NONROAD model (dated May 2002).
Using the 1996 county-level emission estimates, seasonal
and daily county-to-national ratios were then developed
for application to updated national estimates per season
estimated from the Lockdown C model.

1970, 1975,
1978, & 1980
VOC, NOx, CO, S02,
PM10, PM2 5
Using EPA's draft Lockdown C NONROAD model
(dated May 2002), developed updated national emissions
for all years by running 4 seasonal NONROAD model
runs to estimate annual criteria pollutant emissions. Also
performed national NONROAD model runs to estimate
typical summer weekday emissions.
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Table 2-1. Methods for Developing Annual Emission Estimates for
Nonroad Mobile Sources (Continued)
(categories included in this report are noted in bold print)
Category
Base Year
Pollutantfs)
Estimation Method*
Nonroad
Gasoline,
Diesel, LPG, and
CNG
(Continued)
1996, 1997,
1998, 1999,
2000, & 2001
nh3
Obtaining national fuel consumption estimates from the
Lockdown C NONROAD model, multiplying by NH3
emission factors, and distributing to counties using 1996
inventory, based on October 2001 draft NONROAD.
NH3 emissions for California were also recalculated
using updated diesel fuel consumption values generated
for California-specific runs, and assuming the 1996
county-level distribution.

1985 & 1990
nh3
Obtaining national fuel consumption estimates from the
Lockdown C NONROAD model, multiplying by NH3
emission factors, and distributing to counties using 1996
inventory, based on October 2001 draft NONROAD.

1987
nh3
Obtaining 1987 national fuel consumption estimates from
Lockdown C NONROAD model and multiplying by NH3
emission factors.

1970, 1975,
1978, & 1980
nh3
Obtaining national fuel consumption estimates from the
Lockdown C NONROAD model and multiplying by NH3
emission factors.

1990,1996, &
1999
HAPs
Speciation profiles applied to county VOC and PM
estimates. Metal HAPs were calculated using fuel and
activity-based emission factors. Some state data were
provided and replaced national estimates. (2003)
Aircraft
Commercial
Aircraft
2002
Criteria and HAPs
Federal Aviation Administration (FAA) Emissions
and Dispersion and Modeling System (EDMS) was
run for criteria pollutants, VOC and PM emissions
were speciated into HAP components. (2004)

1990,1996,
1999, 2000,
2001
VOC, NOx,
SOx
CO,
Input landing and take-off (LTO) data into FAA
EDMS. National emissions were assigned to airports
based on airport specific LTO data and BTS GIS
data. State data replaced national estimates. (2003)

1970-1998
VOC, NOx,
CO, sox
Estimated emissions for interim years using linear
interpolation between available base years. (2003)

1990,1996,
1999
HAPs
Speciation profiles were applied to VOC estimates to
get national HAP estimates. State data replaced
national estimates. (2003)
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Table 2-1. Methods for Developing Annual Emission Estimates for
Nonroad Mobile Sources (Continued)
(categories included in this report are noted in bold print)
Category
Base Year
Pollutantfs)
Estimation Method*
General
Aviation, Air
Taxis
1978,1987,
1990,1996,
1999, 2000,
2001,& 2002
VOC, NOx, CO,
so2,pm10,pm25
Used FAA LTO data and EPA approved emission
factors for criteria estimates. Speciation profiles
were applied to VOC estimates to get national HAP
estimates. State data replaced national estimates.
(2004)

1970-1998
VOC, NOx, CO,
SOx, PM10, PM2 5
Estimated emissions for interim years using linear
interpolation between available base years. (2003)

1990,1996,
1999, & 2002
HAPs
Used FAA LTO data and EPA approved emission
factors for criteria estimates. Speciation profiles
were applied to VOC estimates to develop national
HAP estimates. (2004)

1990,1996,
1999, & 2002
Pb
Used Department of Energy (DOE) aviation gasoline
usage data with lead concentration of aviation
gasoline. (2004)

1996
nh3
Applied NH3 emissions factors to 1996 national jet fuel
and aviation gasoline consumption estimates.
Military
Aircraft
1978,1987,
1990,1996,
1999, 2000,
2001,& 2002
VOC, NOx, CO,
so2,pm10,pm25
Used FAA LTO data and EPA approved emission
factors for criteria estimates. Representative HAP
profiles were not readily available, therefore HAP
estimates were not developed. State data replaced
national estimates. (2004)

1970-1998
VOC, NOx, CO,
SOx, PM10, PM2 5
Estimated emissions for interim years using linear
interpolation between available base years. (2003)
Auxiliary Power
Units
1985-2001
VOC, NOx, CO, S02,
PM10, PM2 5
Grew 1996 emissions to each year using LTO operations
data from the FAA. Estimation methods prior to 1996
reported in EPA, 1998.
Unpaved
Airstrips1
1985-2001
PM10, PM2 5
Grew 1996 emissions to each year using SIC 45-Air
Transportation growth factors, consistent with the current
draft version of EGAS. Estimation methods prior to
1996 reported in EPA, 1998.
Aircraft
Refueling1
1985-2001
VOC
Grew 1996 emissions to each year using SIC 45-Air
Transportation growth factors, consistent with the current
draft version of EGAS. Estimation methods prior to
1996 reported in EPA, 1998.
Commercial Marine Vessel (CMV)
All CMV
Categories
2002
VOC, NOx, CO,
so2,pm10,pm25
2001 Estimates carried over. Used state data when
provided. (2004)


HAPs
1999 Estimates carried over. Used state data when
provided. (2004)
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Table 2-1. Methods for Developing Annual Emission Estimates for
Nonroad Mobile Sources (Continued)
(categories included in this report are noted in bold print)
Category
Base Year
Pollutantfs)
Estimation Method*
CMV Diesel
1978,1987,
1990,1996,
1999, 2000, &
2001
VOC, NOx, CO,
SOx, PM10, & PM25,
Used criteria emission estimates in the background
document for marine diesel regulations for 2000.
Adjusted 2000 criteria emission estimates for other
used based on fuel usage. Emissions were
disaggregated into port traffic and underway
activities. Port emissions were assigned to specific
ports based on amount of cargo handled. Underway
emissions were allocated based on Army Corp of
Engineering waterway data. State data replaced
national estimates. (2003)

1970-1998
VOC, NOx, CO,
SOx, PM10, PM2 5
Estimated emissions for interim years using linear
interpolation between available base years. (2003)

1990,1996,
1999
HAPs
VOC and PM emission estimates were speciated into
HAP components. State data replaced national
estimates. (2003)

1996
nh3
Applied NH3 emissions factors to 1996 distillate and
residual fuel oil estimates (i.e., as reported inEIA, 1996).

1990-1995
nh3
Estimation methods reported in EPA, 1998.
CMV Steam
Powered
1978,1987,
1990,1996,
1999, 2000, &
2001
VOC, NOx, CO,
SOx,PM10,&PM25
Calculated criteria emissions based on EPA SIP
guidance. Emissions were disaggregated into port
traffic and under way activities. Port emissions were
assigned to specific ports based on amount of cargo
handled. Underway emissions were allocated based
on Army Corp of Engineering waterway data. State
data replaced national estimates. (2003)

1970-1998
VOC, NOx, CO,
SOx, PM10, PM2 5
Estimated emissions for interim years using linear
interpolation between available base years. (2003)

1990, 1996, &
1999
HAPs
VOC and PM emission estimates were speciated into
HAP components. State data replaced national
estimates. (2003)
Military Marine
1997-2001
VOC, NOx, CO, S02,
PM10, PM2 5
Applied EGAS growth factors to 1996 emissions
estimates for this category.
CMV Coal,2
CMV, Steam
powered, CMV
Gasoline2
1997-1998
VOC, NOx, CO, S02,
PM10, PM2 5
Applied EGAS growth factors to 1996 emissions
estimates for this category.
CM Coal, CMV,
Steam powered,
CMV Gasoline,
Military Marine
1991-1995
VOC, NOx, CO, S02,
PM10, PM2 5
Estimation methods reported in EPA, 1998.
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Table 2-1. Methods for Developing Annual Emission Estimates for
Nonroad Mobile Sources (Continued)
(categories included in this report are noted in bold print)
Category
Base Year
Pollutantfs)
Estimation Method*
Locomotives
Class I, Class II,
Commuter,
Passenger, and
Yard
Locomotives
1978,1987,
1990,1996,
1999, 2000,
2000,& 2002
VOC, NOx, CO,
PMjq, PM25
Criteria pollutants were estimated by using
locomotive fuel use data from DOE EIA and available
emission factors. County-level estimates were
obtained by scaling the national estimates with the
rail GIS data from DOT. State data replaced
national estimates. (2004)

1978,1987,
1990,1996,
1999, 2000,
2001,& 2002
so2
SOx emissions were calculated by using locomotive
fuel use and fuel sulfur concentration data from EIA.
County-level estimates were obtained by scaling the
national estimates with the county level rail activity
data from DOT. State data replaced national
estimates. (2004)

1970-1998
VOC, NOx, CO,
SOx, PM10, PM2 5
Estimated emissions for interim years using linear
interpolation between available base years. (2003)

1990,1996,
1999, & 2002
HAPs
HAP emissions were calculated by applying
speciation profiles to VOC and PM estimates.
County-level estimates were obtained by scaling the
national estimates with the county level rail activity
from DOT. State data replaced national estimates.
(2004)

1997-1998
nh3
Grew 1996 base year emissions using EGAS growth
indicators.

1996
nh3
Applied NH3 emissions factors to diesel consumption
estimates for 1996.

1990-1995
NH,
Estimation methods reported in EPA, 1998.
Notes:
* Dates included at the end of Estimation Method represent the year that the section was revised.
1	Emission estimates for unpaved airstrips and aircraft refueling are included in the area source NEI, since they represent non-
engine emissions.
2	National Emission estimates for CMV Coal and CMV Gasoline were not developed though states and local agencies may
have submitted estimates for these source categories.
EPA, 1998. U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Emission Factors and
Inventory Group, National Air Pollutant Emission Trends, Procedures Document, 1900-1996, EPA-454/R-98-008. May
1998.
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The target inventory area includes every state in the United States and every county
within a state. There are no boundary limitations pertaining to traditional criteria pollutant
nonattainment areas or to designated urban areas. The pollutants inventoried included all criteria
pollutants (except for the other nonroad source category which addressed only HAPs in this
report) and the 188 HAPs identified in Section 112(b) of the CAA. Some state or local agencies
provided emissions information on more HAPs than those delineated in the CAA, only the
federally regulated HAPs are included in the NEI.
Some state and local inventories did not provide estimates for all of the pollutants
included in the nationally-derived emission estimates; in these cases, the submitted state and
local data were used and the national estimates were included only for the missing pollutants. It
should be noted that if state or local agency's submitted VOC or PM estimates, these state and
local estimates were not speciated into their HAP components. In cases where, state and local
agency's provided estimates for pollutants not included in the nationally-derived inventory, these
state and local estimates were retained as long as the additional pollutants were one of the listed
188 regulated HAPs.
States and local agency's occasionally provided emissions for only one emission type
(annual or ozone season daily). Where data overlapped with nationally-derived estimates, the
national emission estimates were replaced with the state and local emission estimates. The
submitted state and local data were not used to calculate other emission types. For example, if
ozone season daily estimates were provided, annual emissions were not developed based on the
ozone season daily estimates. State and local data were used as provided, such that, the emission
estimates for a given state or county may be a mixture of nationally and locally-derived emission
estimates.
For the 2002 inventory, states submitted aircraft emission estimates in the airport facility
point source file. These data were retained in the point source file, but the associated aircraft
emission are summarized in this report. It should also be noted, where point source
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aircraft/airport data were provided, the EPA-developed aircraft emission estimates for the
associated counties were replaced with the State submitted data.
In addition to numerous specific chemical compounds, the list of 188 HAPs includes
several compound groups [e.g., individual metals and their compounds, polycyclic organic matter
(POM) and Dioxin/Furan Cogeners]; the NEI includes emission estimates for the individual
compounds wherever possible. Many of the uses of the NEI depend upon data (e.g., toxicity) for
individual compounds within these groups rather than aggregated data on each group as a whole.
Appendix F lists all of the specific pollutants and compound groups included in the NEI along
with their Chemical Abstract Services (CAS) numbers (for individual compounds).
POM includes a large number of individual compounds, too numerous to include in this
inventory effort. Emission test data are readily available for several polycyclic aromatic
hydrocarbons (PAHs). PAHs are a chemical subset of POM. The PAH compounds most
commonly tested are listed below and referred to as the 16-PAHs. The 7-PAH compounds
(marked with asterisks) are a subset of the 16-PAH and have been determined by the
International Agency for Research on Cancer (IARC) to be animal carcinogens. In this
inventory, individual estimates were developed for each of the 16 PAH species except for CMV
steam ships where POM estimates are provided as aggregate 7- and 16-PAH. Some states
submitted estimates based on aggregated 7- and 16-PAH.
Acenaphthene
Acenaphthylene
Anthracene
Benzo(a)anthracene*
Benzo(a)pyrene*
Benzo(b)fluoranthene*
Benzo(ghi)perylene
B enzo(k)fluoranthene *
Chrysene*
Dibenz(a,h)anthracene*
Fluoranthene
Fluorene
Indeno( 1,2,3 -cd)pyrene*
Naphthalene
Phenanthrene
Pyrene
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Data submitted by each state for the 1996, 1999, and 2002 inventory are discussed in each
of the following emission methodology sections, along with comments on any difficulties
encountered or assumptions that had to be made when incorporating the state data into the NEI.
Appendix E contains summaries of the data that were provided for each state. Note, mercury and
arsenic emission estimates submitted by state and local agencies were retained but not used in the
inventory until a definitive methodology for estimating emissions from these pollutants can be
developed.
The intent in presenting the following emission inventory methodologies is to provide
sufficient and transparent documentation such that states and local agencies can use these
approaches, in conjunction with their specific local activity data to develop more accurate and
comparable emission estimates in future submittals.
2.1 Aircraft
2.1.1 What are Aircraft Sources?
The aircraft source category includes all aircraft types used for public, private, and
military purposes. This includes four types of aircraft (EPA, 1992):
~	Commercial;
~	Air Taxis;
~	General Aviation; and
~	Military.
Commercial aircraft include those used for transporting passengers, freight, or both.
Commercial aircraft tend to be larger aircraft powered with jet engines and frequent large
municipal airports. These aircraft are involved in domestic as well as international traffic. Air
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taxis carry passengers, freight, or both, but usually are smaller then commercial air carriers
aircraft and typically only provide domestic travel. The national air taxi fleet includes both jet
and propeller-driven aircraft. General aviation includes most other aircraft used for recreational
flying and personal transportation. Aircraft that support business travel, usually on an
unscheduled basis, are included in the category of general aviation. Most of the general aviation
fleet is made up of propeller-driven aircraft, though smaller business jets can also be found in
this category. Military aircraft cover a wide range of aircraft types such as training aircraft,
fighter jets, helicopters, and jet- and propeller-driven cargo planes of varying sizes.
It should also be noted that this inventory effort includes criteria emission estimates for
aircraft support vehicles and engines typically found at airports, such as aircraft refueling
vehicles, baggage handling vehicles, and equipment, aircraft towing vehicles, passenger buses,
larger portable generators, and other airport vehicles as derived form the NONROAD model (see
Section 2.4).
2.1.2 What Pollutants are Included in the National Emission Estimates for Aircraft?
OTAQ identified the criteria pollutants and HAPs for which data were available to
develop inventory estimates (Cook, 1997; Cook, 1998). Criteria pollutants include VOC, NOx,
CO, SOx, PM10, and PM2 5. The HAPs that are included in the national aircraft inventory are
listed below and are based on available test data and accepted emission estimation procedures:
1,3-Butadiene
2,2,4-trimethylpentane
Acetaldehyde
Acrolein
Formaldehyde
Lead
Benzene
Ethyl Benzene
* Added to 2002 Inventory
PAH
Phenol*
Propionaldehyde
Styrene
Toluene
Xylene
n-Hexane
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2.1.3 How Were Aircraft Emissions Estimated?
EPA has developed guidance for inventorying aircraft emissions associated with an
aircraft's landing and takeoff (LTO) cycle. The cycle begins when the aircraft approaches the
airport on its descent from its cruising altitude, lands, taxis to the gate, and idles during passenger
deplaning. The LTO cycle continues as the aircraft idles during passenger boarding, taxis back
out onto the runway for subsequent takeoff, and ascent (climbout) to cruising altitude. Thus, the
five specific operating modes in an LTO cycle are (EPA, 1992):
~	Approach;
~	Taxi/idle-in;
~	Taxi/idle-out;
~	Takeoff; and
~	Climbout.
The LTO cycle provides a basis for calculating aircraft emissions. During each mode of
operation, an aircraft engine operates at a fairly standard power setting for a given aircraft model.
Emissions for one complete cycle are calculated using emission factors for each operating mode
for each specific aircraft engine combined with the typical period of time the aircraft is in the
operating mode. Criteria emission estimates are presented here for four different aircraft types:
commercial air carrier, air taxis, general aviation, and military. HAP emission estimates were
developed for all aircraft types except military aircraft. Because of the diversity of military
aircraft operations, representative HAP emission factors could not be identified or developed.
Emissions of criteria pollutants from commercial air carriers were calculated differently
than the other three aircraft categories (See Figure 2-1). Criteria pollutant emissions were
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Matched
Aircraft
Unmatched Aircraft
Speciate VOC
for HAPs
Criteria
Pollutant
Emission
Estimates
(Matched
Aircraft)
Develop
Average
Criteria
Emission
Factors
FAA
EDMS
Criteria Emission Estimates
(Unmatched
Aircraft)
Combined Criteria
Emission Estimates
(Matched and
Unmatched)
FAA Domestic
LTO Data
and
EPA Foreign
Flagged Aircraft
LTO Data
Apportion Emissions Based on
Airport Activity Data for
Commercial Aircraft
(2002 emissions were calculated
for each airport individually)
Figure 2-1. Procedures for Estimating Emissions from Commercial Air Carriers

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estimated for commercial aircraft by applying aircraft specific activity data from FAA's Airport
Activity Statistics of Certificated Route Air Carriers to FAA's Emissions and Dispersion
Modeling System (EDMS), Version 4.0 (DOT, 2001). For 2002 the FAA's T100 Segment data
obtained from the Bureau of Transportation Statistics (BTS) were used in conjunction with the
EDMS model. The FAA's airport activity statistics for certified air carriers only documents
activity of American flagged carriers. EPA/OTAQ provided national data for foreign flagged air
carriers. For 2002, emissions were increased by 2 percent at each airport to account for the
foreign flagged air carriers. It is recognized that this may under estimate activity at the larger
airports that provide international services and over estimate activity at the small airports.
EDMS generates estimates for hydrocarbons (HC), NOx, CO, and SOx. The HC estimates
were converted to VOC (EPA, 1992). In this effort, all of the default time-in-mode (TIM) values
incorporated in the EDMS were used. EDMS did not have a default TIM value for the period
that an aircraft is taxiing and idling. In this effort, a TIM value of 26 minutes was used for taxing
and idling; this value was obtained from EPA State Implementation Plan (SIP) guidance on
estimating aircraft emissions (EPA, 1992).
In previous years not all of the aircraft included in the FAA activity report could be
matched to the aircraft in the EDMS. For those aircraft that could not be matched directly, their
LTOs were applied to an average LTO emission factor developed from the aircraft data that
could be matched directly. In 2002 all aircraft were matched.
Criteria pollutant emission estimates for air taxis, general aviation, and military aircraft
were calculated by combining aircraft operations data from FAA's Air Traffic and Activity Data
System (ATADS) (DOT, 2001a) and EPA criteria emission factors (See Figure 2-2) (EPA, 1992).
HAP emission estimates for all aircraft were estimated by applying speciation profiles to
national level VOC or PM10 emissions estimates. Note, for the 2002 inventory, PM emission
factors were developed for commercial air carriers and the HAP profiles were updated using the
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Apportion
Emissions
Based on TAF
Airport Data for
Air Taxis and
General Aviation
Split into:
Jet-Propelled
and
Piston-Driven
Aircraft
Apply
Criteria
Pollutant
Emission
Factors from
SIP
Guidance
FAA LTO
Data for Air
Taxis and
General
Aviation
Speciate
VOC/PM
into HAP
Emission
Estimates
Figure 2-2. Procedures for Estimating Emission from Air Taxis and General Aviation

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latest test data. The speciation profiles used are noted in Appendix A. Lead emission estimates
were handled differently. Lead emissions are primarily associated with leaded aviation fuel used
in piston driven aircraft associated with general aviation. The lead estimates developed in this
inventory were derived by combining DOE annual aviation gasoline usage data with the lead
content of aircraft fuel (assumed to be 2.0 g/gal.), and applying a 75% retention value to reflect
the lead that is retained in the engine or exhaust system, as was calculated in the Lead Locating
and Estimating Document (EPA, 1998). It should be noted that this approach over estimates
emission as it would include emissions associated in the fuel combusted during cruise mode.
Appendix A contains detailed documentation of how emissions were estimated for all
aircraft types. The documentation is not meant to provide an exhaustive analysis on the
derivation of all the inputs. For example, an emission factor used for a national estimate may be
given in the appendix, but the source test data that were evaluated to obtain this factor may not be
presented or discussed. The goal of the documentation provided is to show in a brief and concise
manner how a given estimate was derived. Volume 2 of this report contains copies of documents
not readily available that may help the reader to better appreciate the data sources used to
calculating emissions for this inventory effort.
2.1.4 How Were National Emissions Allocated to Individual Counties?
For the 2002 inventory, emissions were individually estimated for each airport - therefore,
there was no need to use a surrogate approach to spatially allocate emissions. For all other
inventory years, national aircraft emission estimates were allocated to individual counties using
airport activity data derived from the FAA Terminal Area Forecast System (TAF) database of
over 2,000 airports in the United States (DOT, 2001c). A GIS database obtained from the BTS
(DOT, 200Id) contained airport-level LTO data with latitude and longitude coordinates. These
two data sources were matched to identify the county in which each airport is located. These
county determinations were compared to a study implemented by the EPA identifying airports
that appear in multiple counties, noting the county were the aircraft activity is most significant.
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Where necessary county codes were changed to match the results from this study. These data are
noted in the mobile source supplemental data set currently available at the EPA's NEI web site
and 2001 inventories.
For 1990, 1996, 1999, and 2000 NEI, the percentage of national activity was then
calculated for each airport for each aircraft type (i.e., commercial, air taxis, general aviation, and
military), as noted in the following equation.
Airport i Percentage of National LTO by aircraft type = LTO at airport i by aircraft type
National LTO by aircraft type
National aircraft emissions for each aircraft type were allocated to specific airports by
using the LTO percentages (see equations below):
Airport i Emissions = Airport i Percentage by Aircraft Type* Pollutant by Aircraft Type
Where there were multiple airports in a given county, these emissions were simply
summed to provide a county level emissions estimate. In the future, individual airports may be
included along with their latitude and longitude coordinates.
For the 1978 and 1987 inventories, only annual national emission estimates were
required, therefore, spatial allocations were not developed for these inventories.
2.1.5 Data Provided by States
Where states provided their own emission estimates, their data were given priority over
all other data. EPA did not adjust or revise any data submitted by state or local agencies - the
data were used as submitted. For example if a state submitted only ozone season daily estimates
these values were not multiplied by 365 to estimate annual emissions. Note, state emission
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estimates may differ significantly with EPA emission estimates. Table 2-2 summarizes the states
that submitted 1996, 1999, and 2002 data for inclusion into this version of the NEI, and
information about how the data were handled in order to be incorporated into the NEI.
Puerto Rico did provide estimates for 1996. Note, emission estimates for San Juan
International airport were developed in the same fashion as emission estimates for mainland
airports. FAA aircraft activity data were available for 1999, 2001, 2002; therefore, nationally-
derived estimates were used in NEI for these years for Puerto Rico. Appendix E contains
individual summary sheets for each state that submitted aircraft data.
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Table 2-2. Summary of State Submitted Aircraft Data
State
Criteria
HAPs
Comments
1996
Puerto Rico and Virgin
Islands

~
Replaced national estimates with state
submitted data.
South Carolina

~
Replaced national estimates with state
submitted data.
1999
California
~
~
Replaced national estimates for military,
commercial aircraft, and general aviation
with State submitted data. HAP data
submitted for pollutants other than the 188
were not incorporated.
Louisiana
~

Replaced national estimates for military,
commercial, general aviation, and air taxis
with State submitted data for VOC and NOx,
for one county.
Maryland

~
Replaced national estimates with state
submitted data.
Minnesota

~
Replaced national estimates with state
submitted data for 28 HAPs.
Nebraska
~

Replaced national estimates with state
submitted data for VOC, NOx, CO, SOx,
PM,n for one county.
Pennsylvania
~

Replaced national ozone season daily
estimates with state submitted data.
South Carolina
~

Replaced national estimates with state
submitted data for HC, NOx, CO and SOx.
HC was converted to VOC.
Tennessee
~

Replaced national estimates for military,
commercial, general aviation, and air taxis
with state submitted data for HC, NOx, CO,
SOx, for one county. HC was converted to
VOC.
Texas
~

Replaced commercial aircraft and general
aviation estimates with state submitted data.
Utah
~

Replaced national estimates with state
submitted data for VOC, NOx, CO, SOx,
PM,n, and NH,.
Wisconsin
~

Replaced national estimates with state
submitted data for VOC, NOx and CO.
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Table 2-2. Summary of State Submitted Aircraft Data (Continued)
State
Criteria
HAPs
Comments
2002
Alabama
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Arkansas
~
~
Replaced national estimates with state data
for CO, NH3, NOx, PM10-PRI, PM25-PRI,
S02, VOC, and Lead (only HAP).
Arizona (Maricopa
County)
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
California
~
~
Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02,
VOC, and 26 HAPs.
Colorado
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Connecticut
~

Replaced national estimates with state data
for CO, and VOC.
Delaware
~
~
Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02,
VOC, and 24 HAPs.
Florida (Pinellas
County)
~
~
Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, PM-PRI,
S02, VOC, and 30 HAPs. SCCs were
updated to reflect current EPA SCCs.
Georgia
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Idaho
~

Replaced national estimates with state data
for CO, NOx, PM-PRI, S02, and VOC.
SCCs were updated to reflect current EPA
SCCs.
Kentucky (Jefferson
County)
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Massachusetts
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
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Table 2-2. Summary of State Submitted Aircraft Data (Continued)
State
Criteria
HAPs
Comments
Maryland
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, S02, and VOC
Michigan
~

Replaced national estimates with state data
for CO, NOx, S02, and VOC.
Mississippi
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
North Carolina
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
New Hampshire
~
~
Replaced national estimates with state data
for CO, NOx, S02, VOC, and 13 HAPs.
New Jersey
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Nevada (Clark
County)
~

Replaced national estimates with state data
for CO, NOx, PM-PRI, S02, and VOC.
Pollutants were updated to reflect current
EPA pollutant codes.
Oregon
~
~
Replaced national estimates with state data
for NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 27 HAPs.
Rhode Island
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, S02, and VOC.
Tennessee
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Texas
~

Replaced national estimates with state data
for CO, NOx, PM10-FIL, PM10-PRI, PM25-
PRI, S02, and VOC.
Utah
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. Pollutants were updated to reflect
current EPA pollutant codes.
Virginia
~

Replaced national estimates with state data
for CO, NOx, S02, and VOC.
Wisconsin
~
~
Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02,
VOC, and 24 HAPs.
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Table 2-2. Summary of State Submitted Aircraft Data (Continued)
State
Criteria
HAPs
Comments
West Virginia
~

Replaced national estimates with state data
for CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
2.1.6 What are the Results?
Table 2-3 summarizes the emission estimates for all aircraft types for criteria pollutants.
Table 2-4 summarizes the aircraft emission estimates for individual HAPs compounds. Both
tables include data for all states including Puerto Rico. The estimates provided in Tables 2-3 and
2-4 include the state-submitted data. As noted earlier, where states had data for pollutants
included in the 188 HAP list, but not in the national emission estimates, these data were retained
such that the list of HAPs for the NEI for this category include additional pollutants than those
calculated at the national level.
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Table 2-3. Aircraft Criteria Emission Estimates 1978-2002 (TPY)
Pollutant
Year
1978
1987
1990
1996
1999
2000
2001
2002
voc
61,487.38
25,507.44
30,508.02
31,104.31
44,289.46
26,536.32
21,153.19
50,323.22
NOx
59,864.68
71,797.47
69,759.96
74,082.25
95,389.26
88,100.43
80,911.78
92,275.84
CO
206,491.29
221,164.37
239,055.43
248,124.16
357,908.05
270,094.89
257,368.05
532,236.63
S02
6,446.32
7,354.03
7,350.69
7,502.83
8,071.90
8,507.25
7,595.32
7,909.64
PM10-PRI
2,325.73
3,024.05
3,206.68
3,219.87
6,419.75
3,517.45
3,470.38
24,558.77
pm25-pri
1,604.75
2,086.60
2,212.61
2,221.71
5,107.28
2,427.04
2,394.56
18,026.86
PM-PRI







74.21
nh3







0.36
Table 2-4. Aircraft HAP Emission Estimates 1990-2002 (TPY)
Pollutant
1990
1996
1999
2002
1,3-butadiene
544.97
561.26
827.56
553.32
2,2,4-trimethylpentane
14.05
14.48
43.13
29.65
Acenaphthene
1.53
1.61
1.72
4.29
Acenaphthylene
8.65
9.11
9.66
23.99
Acetaldehyde
1,331.33
1,368.76
2,028.25
898.62
Acrolein
638.57
656.13
972.89
408.91
Anthracene
1.80
1.89
2.01
5.00
Benzene
711.37
736.81
1,107.84
958.57
Benzo(a)anthracene
0.21
0.22
0.24
0.59
Benzo(a)pyrene
0.21
0.22
0.24
0.59
Benzo(b)fluoranthene
0.25
0.27
0.28
0.71
Benzo(ghi)perylene
0.55
0.58
0.61
1.53
Benzo(k)fluoranthene
0.25
0.27
0.28
0.71
Cadmium


1.58
1.19
Chlorine


1.59
1.53
Chromium


16.71
12.62
Chrysene
0.21
0.22
0.24
0.59
Cobalt


0.01
0.01
Cumene


1.16
0.77
Dibenzo(a,h)anthracene



0.01
Ethyl Benzene
108.09
113.20
174.65
222.84
Fluoranthene
1.93
2.03
2.16
5.31
Fluorene
3.17
3.34
3.54
8.79
Formaldehyde
4,329.85
4,452.75
6,579.74
3,606.71
Hexane
28.76
30.58
52.34
88.35
Indeno( 1,2,3 -cd)pyrene
0.17
0.18
0.18
0.48
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Table 2-4. Aircraft HAP Emission Estimates 1990-2002 (TPY) (Continued)
Pollutant
1990
1996
1999
2002
Lead and compounds


11.36
138.41
Manganese


0.01
0.01
Methyl Ethyl Ketone


1.02
0.68
Methyl Tert-Butyl Ether


3.78
2.51
Naphthalene
364.08
379.56
459.28
643.47
Nickel


1.59
1.20
o-Xylene


65.08
48.01
Phenanthrene
5.43
5.72
6.05
14.83
Phenol


43.99
51.42
POM



0.03
Propionaldehyde
269.56
277.06
410.16
270.27
Pyrene
2.63
2.77
2.92
7.23
Selenium


1.58
1.19
Styrene
124.72
128.64
192.37
124.43
Toluene
573.51
604.51
907.35
1,381.71
Xylene
375.59
394.49
472.48
785.42
2.1.7 Aircraft References:
Cook, Rich. Memorandum entitled Guidance on Mobile Source Emission Estimates in the 1996
National Toxics Inventory, to Laurel Driver and Anne Pope, U.S. EPA Office of Air Quality
Planning and Standards. U.S. EPA Office of Mobile Sources. Ann Arbor, MI. June 9, 1998.
Cook, Rich. Memorandum entitled Source Identification and Base Year 1990 Emission
Inventory Guidance for Mobile Source HAPs on the OAQPS List of 40 Priority HAPs, to Laurel
Driver and Anne Pope, U.S. EPA Office of Air Quality Planning and Standards (OAQPS).
U.S. EPA Office of Mobile Sources. Ann Arbor, MI. June 11, 1997.
Cook, Rich and Joe Somers. Memorandum entitled Revised Methodology and Emission Factors
for Estimating Mobile Source PAH Emissions in the National Toxics Inventory, to Laurel Driver,
U.S. EPA Office of Air Quality Planning and Standards (OAQPS). U.S. EPA Office of Mobile
Sources (OMS). Ann Arbor, MI. June 8, 2001.
Billings, Richard and Roger Chang, Eastern Research Group, Inc. Memorandum entitled
Revised HAP Speciation Profiles for Commercial Aircraft, to Laurel Driver and Rich Cook, U.S.
Environmental Protection Agency. October 25, 2004.
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Billings, Richard and Roger Chang, Eastern Research Group, Inc. Memorandum entitled
Commercial Aircraft PM Emission Estimate, to Laurel Driver, Rich Cook and Bryan Manning,
U.S. Environmental Protection Agency. September 21, 2004.
Federal Aviation Administration. T-100 Segment, 2002. Bureau of Transportation Statistics.
Downloaded from the following Internet site: http://www.bts.gov.
U. S. Department of Transportation (DOT). Airport Activity Statistics of Certificated Route Air
Carriers, 12 Months Ending December 31, 1999. Bureau of Transportation Statistics, Office of
Airline Information. Washington, DC. 2001.
U. S. Department of Transportation. Emissions and Dispersion Modeling System, Version 4.0.
Federal Aviation Administration. May, 2001a.
U.S. Department of Transportation. Air Traffic Activity - Fiscal Year 1999. Federal Aviation
Administration, Aviation Policy and Plans. Downloaded from the following Internet Site:
http//www.apo.data.faa.gov/. July 16, 2001b.
U. S. Department of Transportation. Terminal Area Forecast System. Federal Aviation
Administration, Aviation Policy and Plans. Downloaded from the following Internet Site:
http//www.apo.data.faa.gov/. 2001c.
U.S. Department of Transportation. National Transportation Atlas Databases. Bureau of
Transportation Statistics. Downloaded from the following Internet Site:
http//www.bts.gov/gis/ntatlas/index.html. 200Id.
U.S. Environmental Protection Agency. National Air Pollutant Emission Trends, 1900-1996.
EPA-454/R-97-011. Office of Air Quality Planning and Standards. December 1997.
U. S. Environmental Protection Agency. Procedures for Emission Inventory Preparation,
Volume IV: Mobile Sources. EPA-450/4-81-026d (Revised). Office of Air and Radiation.
Research Triangle Park, NC, and Ann Arbor, MI. 1992.
U.S. Environmental Protection Agency. Locating and Estimating Air Toxic Emissions from
Sources of Lead. EPA Report No. 454/R-98-006. Office of Air Quality Planning and Standards.
May 1998.
U. S. Environmental Protection Agency. SPECIATE 3.1. Office of Air Quality Planning and
Standards, Research Triangle Park, NC. October 1999.
U.S. Environmental Protection Agency. Domestic and Foreign Air Carrier Activity CY1999
from U.S. Airports. Office of Transportation and Air Quality, Assessment and Standards
Division, Anne Arbor, MI, March 26, 2002.
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2.2 Commercial Marine Vessels
2.2.1	What are Commercial Marine Vessels?
The commercial marine vessel (CMV) source category includes all boats and ships used
either directly or indirectly in the conduct of commerce or military activity. These vessels range
from 20-foot charter boats to large tankers and military vessels which can exceed 1,000 feet in
length (EPA, 1989). In spite of the broad range of vessels represented by this category, a number
of common characteristics allow for the use of simple emission estimation methods.
The majority of vessels in this category are powered either by diesel engines or steam
turbines. The predominant fuel used is oil, both distillate (diesel) and residual grades. In
general, it can be assumed that CMVs powered by diesel engines predominantly use distillate
fuel oil or higher grade residual oils, and those powered by steam turbines use residual fuel oil.
The CMV source category does not include recreational marine vessels, which are vessels
less than 100 feet in length, most being less than 30 feet, and powered by either inboard or
outboard engines (EPA, 1989). Emissions from recreational marine vessels are included in the
other nonroad source category.
2.2.2	What Pollutants are Included in the National Emission Estimates for CMVs?
OTAQ identified the criteria pollutants and HAPs for which data were available to
develop inventory estimates (Cook, 1997; Cook, 1998). Criteria pollutants include VOC, NOx,
CO, SOx, PM10, and PM2 5. The HAPs, listed below, were identified based on available test data
and accepted emission estimation procedures.
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2,2,4 Trimethylpentane
Acetaldehyde
Ethylbenzene
Formaldehyde
Lead
Manganese
n-Hexane
Nickel
PAH
Propionaldehyde
Selenium
Acrolein
Benzene
Beryllium
Cadmium
Chromium
Styrene
Toluene
Xylene
2.2.3 How Were the CMV Emissions Estimated?
The CMV emission estimates provided here were developed using a "top-down"
approach. This means that the estimates were developed at the national level and allocated to
individual counties using appropriate surrogates. Figure 2-3 provides an overview of the
approach used to estimate and spatially allocate CMV emissions.
For marine diesel engines, the emission estimates for all criteria pollutants, except SOx,
were obtained from background documents that support recent marine diesel emission
regulations. Criteria pollutant emissions for steam powered vessels and SOx for marine diesel
engines were calculated based on fuel usage data and available EPA emission factors (EPA,
1989). The fuel usage data were provided by the EPA, and were derived from documents that
support recent marine diesel rules (40 CFR Part 943 - Federal Register Volume 67 No. 103, May
29, 2002).
HAP speciation profiles were applied to the VOC and PM emission estimates.
Unfortunately, there are very few data available to characterize HAP emissions from CMVs,
therefore "alternative" speciation profiles were used in this inventory effort. For diesel-powered
vessels, the speciation profiles were for heavy-duty diesel vehicles (HDDV) and were obtained
from information in Evaluation of Factors That Affect Diesel Exhaust Toxicity (Truex and
Norbeck, 1998). For steam-driven vessels, speciation profiles for stationary industrial and
commercial boilers were considered to be appropriate surrogates. The boiler speciation data
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Steamship Fuel
Consumption
Criteria Emission Factors
Criteria Estimates
for Steamships
HAP Speciation Profile
County Level Port
Criteria/HAP
Emission Estimate
County Level Underway
Criteria/HAP
Emission Estimates
DOT GIS Shipping Lane Traffic
Data Set Matched to Counties
Cargo Handled at Top
150 Ports Matched
to Counties
Ports Criteria/
HAP Emissions
Underway Criteria/
HAP Emissions
County-Level Criteria/HAP
Emission Estimates
Criteria Estimate for Marine
Diesel/Engines
Criteria/HAP National Emission Estimates
Figure 2-3. Procedures for Estimating Emissions for CMV
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were obtained from the EPA's Industrial Combustion Coordinated Rulemaking (ICCR) program
(Porter, 1998; EPA, 1996).
For PAH emissions for diesel marine engines, speciation profiles were developed by
OTAQ (Cook, 2001) to individually estimate emissions for the 16-PAH compounds. For
distillate oil-fueled CMVs, PAH/PM25 speciation profiles were obtained from Colorado's
Northern Front Range Air Quality Study (NFRAQS) report, and are based on test data for heavy
duty diesel vehicles. For steamships, speciated PAH data are not currently available, therefore
aggregate 7-PAH and 16-PAH emission factors were used.
National criteria pollutant and HAP emissions were disaggregated into port and underway
emission estimates, based on assumptions used in the EPA's SIP guidance that 75% of distillate
fuel and 25% of residual fuel is consumed within the port, the remaining fuel is consumed while
underway (EPA, 1989).
More detailed documentation on how the emission estimates were prepared is provided in
Appendix B of this report. The documentation identifies the key input data and procedures that
were used in the calculation of emissions for CMVs. The documentation is not meant to provide
an exhaustive analysis on the derivation of all the inputs. For example, an emission factor used
to calculate emissions may be given in the appendix, but the source tests that were evaluated to
obtain this factor may not be presented or discussed. The goal of the documentation provided is
to show in a brief and concise manner how an emission estimate was derived. Volume 2 of this
report contains copies of several important and hard-to-locate references that may help the reader
better appreciate the data sources used in developing the CMV estimates.
2.2.4 How Were National Emissions Allocated to Individual Counties?
National port emissions were assigned to the 150 largest U.S. ports based on activity data
obtained from the Waterborne Commerce of the United States, Part 5-Waterways and Harbors
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National Summaries (U.S. Army Corps of Engineers, 2001) the data may also be obtained from
the following website http://www.iwr.usace.armv.mil/ndc/wcsc/pdf/wcusnatl99.pdf. This
reference included data for Puerto Rico and the Virgin Islands. The percentage of total traffic for
each port was calculated by dividing the port-level traffic by the total traffic. This approach will
slightly over estimate port emissions for the 150 ports included in this inventory as emissions are
not allocated to smaller ports not included in this list.
Underway emissions were allocated to counties by applying county-specific waterway
activity factors expressed as thousand ton miles (BTS, 2000) to the national estimate. Using GIS
software, county borders were overlaid with the U.S. waterway network to determine the
waterway length in each county. Each county was then assigned a weighting factor by summing
the product of the waterway length (miles) in the county and the waterway-cargo traffic (tons) for
each segment of the waterway, and then dividing this sum by the national total. It is recognized
that there are some inconsistencies with the BTS's GIS data for other inventory years, therefore
the 1999 weight factors were used for all inventory years.
To allocate emissions to ports with underway emissions, two methods were employed.
Where shorelines intersected with counties, emissions were assigned based upon shoreline
length. Where this was not possible, a weighted average of tonnage miles was divided equally
among the counties that had a shipping lane. For example, underway emissions along the
Mississippi River were split between counties located on the eastern and western shorelines
based on the length of the shipping lane attributed to a given county. Underway emissions were
then added to in-port emissions to get a total county-level CMV emission estimates.
2.2.5 State Provided Data
Where states provided their own CMV emission estimates for this source category, their
data were given priority over all other data. Table 2-5 summarizes the states that submitted
1996, 1999, and 2002 data for inclusion into the NEI. EPA did not adjust or revise any data
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Table 2-5. Summary of State Submitted CMV Data
State
Criteria
HAPs
Comments
1996
Alaska

~
Replaced national estimates with state
submitted data..
Puerto Rico and
Virgin Islands

~
Replaced national estimates with state
submitted data.
1999
Alabama
~

Replaced national estimates with State
submitted data for VOC, NOY, and CO.
California
~
~
Replaced national estimates with state
submitted data for VOC, NOx, CO, SOx, PM10,
PM2 5 and HAPs. HAP data for pollutants
other than the 188 were not incorporated.
Maryland

~
Replaced national estimates with state
submitted data.
Minnesota

~
Replaced national estimates with state
submitted data for 36 HAPs.
Pennsylvania
~

Replaced Ozone Season Daily (OSD)
estimates with state submitted estimates for
VOC, NOx, CO. Only OSD emission
estimates submitted by State.
Texas
~

Replaced national estimates with state
submitted data..
Wisconsin
~

Replaced national estimates with state
submitted data for VOC, NOY and CO.
2002
Alabama
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Arkansas
~

Replaced national estimates with state data for
CO, NH3, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
California
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 32 HAPs. SCCs were updated to reflect
current EPA SCCs.
Connecticut
~

Replaced national estimates with state data for
CO, NOx, and VOC. SCCs were updated to
reflect current EPA SCCs.
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Table 2-5. Summary of State Submitted CMV Data (Continued)
State
Criteria
HAPs
Comments
Delaware
~
~
Replaced national estimates with state data for
CO, nh3, nox, pm10-pri, pm25-pri, so2,
VOC, and 31 HAPs.
Florida
(Pinellas County)
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 36 HAPs.
Georgia
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Indiana
~

Replaced national estimates with state data for
CO, nh3, nox, pm10-pri, pm25-pri, pm-pri,
S02, and VOC. SCCs were updated to reflect
current EPA SCCs.
Kentucky (Jefferson
County)
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Massachusetts
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
Maryland
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, S02, and VOC. SCCs
were updated to reflect current EPA SCCs.
Maine
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 35 HAPs.
Michigan
~

Replaced national estimates with state data for
CO, nh3, nox, pm10-pri, pm25-pri, pm-pri,
S02, and VOC. SCCs were updated to reflect
current EPA SCCs. Pollutants were updated
to reflect current EPA pollutant codes.
Mississippi
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
North Carolina
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
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Table 2-5. Summary of State Submitted CMV Data (Continued)
State
Criteria
HAPs
Comments
New Jersey
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
New York
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. Pollutants were updated to reflect
current EPA pollutant codes.
Ohio
~

Replaced national estimates with state data for
CO, nh3, nox, pm10-pri, pm25-pri, pm-pri,
S02, and VOC. SCCs were updated to reflect
current EPA SCCs. Pollutants were updated
to reflect current EPA pollutant codes.
Oregon
~
~
Replaced national estimates with state data for
NOx, PM10-PRI, PM25-PRI, VOC, and 11
HAPs. SCCs were updated to reflect current
EPA SCCs. Pollutants were updated to reflect
current EPA pollutant codes.
Rhode Island
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, S02, and VOC. SCCs
were updated to reflect current EPA SCCs.
Tennessee
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Texas
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 22 HAPs. SCCs were updated to reflect
current EPA SCCs.
Virginia
~

Replaced national estimates with state data for
CO, NOx, and VOC. SCCs were updated to
reflect current EPA SCCs.
Washington
~

Replaced national estimates with state data for
CO, NH3, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Wisconsin
~
~
Replaced national estimates with state data for
CO, nh3, nox, pm10-pri, pm25-pri, pm-pri,
SO?, VOC, and 14 HAPs.
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Table 2-5. Summary of State Submitted CMV Data (Continued)
State
Criteria
HAPs
Comments
West Virginia
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
submitted by state or local agencies - the data were used as submitted. For example if a state
submitted only ozone season daily estimates these values were not multiplied by 365 to estimate
annual emissions. In some cases state or local agency's submitted estimates where PAH or metal
HAPs were not disaggregated into individual species, as was done in the nationally-derived
estimates. In such cases, both the state or local estimates and the national estimates were
retained (e.g., nickel and nickel and nickel compounds; the nickel estimates are nationally-
derived estimates while the nickel and nickel compounds are state derived estimates). It is
recognized that a small amount of double counting may occur by taking this approach. Note,
state emission estimates may differ significantly with EPA emission estimates. Appendix E
contains individual summary sheets for each state that submitted CMV data.
2.2.6 What are the Results?
Table 2-6 summarizes the emission estimates for CMVs for criteria pollutants. Table 2-7
summarizes the emission estimates for individual HAPs. Both tables provide data for all states,
including Puerto Rico and the Virgin Islands. CMV emission estimates for Puerto Rico and the
Virgin Islands were developed using the same approach used to estimate emissions of the states.
Note, the estimates provided in these tables include the state-submitted data.
Note, criteria estimates for 2002 were carried over from the preliminary estimates for
2001. Similarly, HAP emission estimates for 2002 were carried over from 1999, excluding state
submitted data.
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Table 2-6. Commercial Marine Vessel Criteria Emission Estimates 1978-2002 (TPY)
Pollutant
Year
1978
1987
1990
1996
1999
2000
2001
2002
voc
28,579.58
33,760.66
31,354.27
33,062.10
29,999.38
31,513.07
31,617.63
35,970.84
NOx
914,284.54
1,080,037.82
1,003,048.79
1,057,651.39
855,992.23
1,008,175.24
1,011,475.90
1,065,685.97
CO
120,415.50
142,243.77
132,106.16
139,308.82
116,114.01
132,768.04
133,215.40
140,923.39
S02
148,496.62
180,319.59
167,212.91
159,076.50
175,503.97
162,910.19
160,361.62
227,274.69
PM10-PRI
39,342.85
46,490.27
43,162.49
45,436.17
44,391.13
43,472.84
43,529.54
49,912.76
pm25-pri
36,195.43
42,771.05
39,709.49
41,801.28
40,882.33
39,995.01
40,047.18
46,113.25
PM-PRI







2,288.96
nh3







142.81
Table 2-7. Commercial Marine Vessel HAP Emission Estimates 1990-2002 (TPY)
Pollutant
1990
1996
1999
2002
1,3-butadiene


5.69
7.93
2,2,4-Trimethylpentane
12.52
13.20
21.06
26.21
Acenaphthene
1.06
1.11
1.06
1.05
Acenaphthylene
4.98
5.08
4.98
4.91
Acetaldehyde
2,325.49
2,452.48
2,378.35
2,545.45
Acrolein
109.54
115.52
98.85
114.91
Anthracene
2.05
2.13
2.05
2.02
Antimony


0.36
0.51
Benzene
636.71
671.48
648.31
705.61
Benzo(a)anthracene
1.37
1.45
1.37
1.35
Benzo(a)pyrene
0.42
0.45
0.42
0.42
Benzo(b)fluoranthene
0.40
0.42
0.40
0.39
Benzo(ghi)perylene
0.31
0.32
0.31
0.30
Benzo(k)fluoranthene
0.38
0.41
0.38
0.38
Beryllium
0.01
0.01
0.01
0.01
Cadmium & Compounds
0.12
0.12
0.31
0.39
Chlorine


0.71
1.04
Chlorobenzene


0.07
0.07
Chromium & Compounds


0.05
0.07
Chromium III
0.25
0.25
0.25
0.25
Chromium VI
0.13
0.13
0.13
0.13
Chrysene
0.33
0.34
0.33
0.32
Cobalt


0.16
0.02
Cumene


0.60
0.77
Ethyl Benzene
62.59
66.01
63.08
69.48
Fluoranthene
1.36
1.41
1.36
1.34
Fluorene
2.87
2.98
2.87
2.83
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Table 2-7. Commercial Marine Vessel HAP Emission Estimates 1990-2002 (TPY)
(Continued)
Pollutant
1990
1996
1999
2002
Formaldehyde
4,683.40
4,939.06
4,744.43
5,130.12
Indeno( 1,2,3 -cd)pyrene
0.05
0.06
0.05
0.05
Lead & Compounds
1.83
1.89
1.88
2.00
Manganese & Compounds
1.00
0.99
1.12
1.24
Methanol


0.90
2.28
Methyl Ethyl Ketone


44.32
50.59
Methyl Tert-Butyl Ether



3.33
m-Xylene


18.98
29.52
Naphthalene
65.74
68.76
65.61
68.21
n-Hexane
172.13
181.53
154.94
165.24
Nickel & Compounds
26.92
26.31
28.46
31.22
o-Xylene


10.66
14.87
Phenanthrene
7.11
7.25
7.11
7.00
Phosphorus


0.32
0.45
POM as 16-PAH
0.05
0.05
0.05
0.10
POM as 7-PAH
4.8E-04
4.7E-04
4.8E-04
8.82E-04
Propionaldehyde
190.91
201.34
194.58
205.10
p-Xylene


2.99
3.41
Pyrene
2.20
2.28
2.20
2.17
Selenium & Compounds
0.22
0.21
0.24
0.26
Styrene
65.72
69.31
58.78
61.31
Toluene
100.15
105.62
133.31
155.49
Xylene
150.22
158.43
135.57
134.68
2.2.7 Commercial Marine Vessel References:
Booz, Allen & Hamilton, Inc. Commercial Marine Vessel Contribution to Emission Inventories.
U.S. EPA. OMS, Mobile Source Emission Laboratory, Ann Arbor, MI. October 1991.
Bureau of Transportation Statistics, 2000. National Transportation Atlas Databases - National
Waterway Network. Washington, DC, Publisher: Bureau of Transportation Statistics
Cook, Rich and Joe Somers. Memorandum entitled Revised Methodology and Emission Factors
for Estimating Mobile Source PAH Emissions in the National Toxics Inventory, to Laurel Driver,
U.S. EPA Office of Air Quality Planning and Standards (OAQPS). U.S. EPA Office of Mobile
Sources (OMS). Ann Arbor, MI. June 8, 2001.
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Cook, Rich. Memorandum entitled Guidance on Mobile Source Emission Estimates in the 1996
National Toxics Inventory, to Laurel Driver and Anne Pope, U.S. EPA Office of Air Quality
Planning and Standards. U.S. EPA Office of Mobile Sources. Ann Arbor, MI. June 9, 1997.
Cook, Rich. Memorandum entitled Source Identification and Base Year 1990 Emission
Inventory Guidance for Mobile Source HAPs on the OAQPS List of 40 Priority HAPs, to Laurel
Driver and Anne Pope, U.S. EPA Office of Air Quality Planning and Standards (OAQPS).
U.S. EPA Office of Mobile Sources. Ann Arbor, MI. June 11, 1997.
Porter, Fred. Note entitled Comments on Commercial/Institutional Heating Information in the
"Baseline Emission Inventory of HAP Emissions from MACT Sources - Interim Final Report, "
September 18, 1998, to Anne Pope, U.S. EPA Emission Factor and Inventory Group. U.S. EPA
Emission Standards Division. Research Triangle Park, NC. November 13, 1998.
Truex, Dr. Timothy J. and Dr. Joseph M. Norbeck. Evaluation of Factors That Affect Diesel
Exhaust Toxicity. University of California-Riverside, Center for Environmental Research and
Technology. Riverside, CA. 1998.
U.S. Army Corps of Engineers. Waterborne Commerce of the United States, Calendar Year
1999, Part 5 - Waterways and Harbors National Summaries. Water Resources Support Center,
Fort Belvoir, VA. Downloaded from the following Internet site:
http://www.wrsc.usace.armv.mil/ndc/wcusnatl99.pdf. January 22, 2001.
U.S. Department of Energy (DOE). Fuel Oil and Kerosene Sales, 1999. DOE/EIA — 0535 (99),
Distribution Category UC-950. Energy Information Administration, Office of Oil and Gas,
Washington, DC. Available at the following Internet site:
http://www.eia.doe.gov/oil_gas/petroleum/info_glance/petroleum.html 2001.
U.S. Environmental Protection Agency. Draft Regulatory Impact Analysis: Control of
Emissions from Compression Ignition Marine Engines. EPA-420-R-98-017. Office of Mobile
Sources, Engine Programs and Compliance Division. Ann Arbor, MI 1998.
U. S. Environmental Protection Agency. Compilation of Air Pollutant Emission Factors,
Volume I: Stationary Point and Area Sources, Fifth Edition, AP-42. Research Triangle Park,
NC. 1996.
U.S. Environmental Protection Agency. Emission Factors for Compression Ignition Nonroad
Engines Operated on No. 2 Highway and Nonroad Diesel Fuel. EPA 420-R-98-001. Office of
Transportation and Air Quality. Ann Arbor, MI. March 1998.
U.S. Environmental Protection Agency. EPA Proposed Fuel Control of Emissions of Air
Pollution from New Marine Compression - Ignition Engines at or Above 30 Liters/Cycliner. 40
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CFR Part 94 Federal Register. May 29, 2002 (Volume 67, No. 103, Proposed Rules, Page
37547-37608). Office of Transportation and Air Quality, Ann Arbor, MI.
U. S. Environmental Protection Agency. Procedures for Emission Inventory Preparation,
Volume IV: Mobile Sources. EPA-450/4-81-026d (Revised). Office of Air and Radiation.
Research Triangle Park, NC. 1992.
U. S. Environmental Protection Agency. Procedures for Emission Inventory Preparation,
Volume IV: Mobile Sources. Office of Air Quality Planning and Standards. Research Triangle
Park, NC. 1989.
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2.3 Locomotives
2.3.1	What are Locomotive Sources?
The locomotive source category includes railroad locomotives powered by diesel-electric
engines. A diesel-electric locomotive uses 2-stroke or 4-stroke diesel engines and an alternator
or a generator to produce the electricity required to power its traction motors. The locomotive
source category does not include locomotives powered by electricity or steam. Emissions
associated with the operation of electric locomotives would be included in the point source utility
emission estimate. It is believed that the number of wood or coal driven steam locomotives is
currently very small; therefore, these types of locomotives are not included in this inventory.
The locomotive source category is further divided up into five categories: line haul class
I, class I yard, line haul class II/III, passenger, and commuter. The national rail estimates were
divided up between the subcategories based on ratios calculated from fuel data obtained from the
American Association of Railroads for each subcategory. California locomotive emission
estimates were handled separately from the rest of the United States because of their use of low
sulfur locomotive diesel fuels.
2.3.2	What Pollutants are Included in the National Emission Estimates for Locomotives?
All of the criteria pollutants, VOC, CO, NOx, SOx, PM, and PM2 5, are included in the
locomotive component of the NEI. OTAQ identified the HAPs for which data were available to
develop inventory estimates (Scarbro, 2001). The HAPs, listed below, were identified based on
available test data and accepted emission estimation procedures.
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1,3-Butadiene
2,2,4-Trimethylpentane
Acetaldehyde
Chromium (Hexavalent)
Chromium (Trivalent)
Ethyl Benzene
Formaldehyde
Lead
Manganese
Napthalene
n-Hexane
Nickel
PAH Propionaldehyde
Acrolein
Benzene
Beryllium
Cadmium
Styrene
Toluene
Xylenes
2.3.3 How Were Locomotive Emissions Estimated?
Figure 2-4 provides an overview of the approaches used to estimate criteria and HAP
emissions from locomotives. This section of the report describes the emission estimating
methods used in general terms while Appendix C provides more details on how emissions were
developed and includes critical data used in calculating these estimates.
Criteria pollutant emissions were estimated by applying emission factors to the total
amount of distillate fuel oil used by locomotives. Emission factors for the criteria pollutants
were obtained from Emission Factors for Locomotives (U.S. EPA, 1997). The locomotive fuel
oil usage data were obtained from DOE, EIA for all inventory years except 2001. Data for 2001
was not available at the time the inventory was being developed, therefore, fuel data for the
previous six years (i.e., 1995-2000) were averaged to approximate fuel usage for 2001. Fuel data
for 2002 were provided by OTAQ and was derived from DOE data. SOx emissions were
estimated by multiplying the percent sulfur in fuel by the amount of fuel used in railroad
operations (Scarbro, 2001). It should be noted that since California uses low sulfur diesel fuel
and emission factors specific for California railroad fuels were available, calculations of the
state's emissions were done separately from the other states.
HAP emissions were estimated in two ways. First, HAP emission factors were combined
with the amount of distillate fuel oil used by locomotives. The HAP emission factors were
obtained from Diesel Fuel Effects on Locomotive Exhaust Emissions (Fritz, 2000) and from
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National HAP Emission Estimates
DOE Locomotive
Fuel Data
Criteria Emission
Factors
HAP Emission
Factors
HAP Speciation
Profiles
National Criteria
Emission Estimates
Figure 2-4. Overview of Approach Used to Estimate National Criteria Pollutant
and HAP Emissions
2-41
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Baseline Emission Inventory of HAP Emissions from MACT Sources - Interim final Report, 1998
(Porter, 1998).
Where emission factors are not available, HAP emissions were estimated by applying
speciation profiles to the VOC or PM estimates. The speciation profiles were derived from
Evaluation of Factors that Affect Diesel Exhaust Toxicity Steve,(Truex and Norbeck, 1998), and
data provided by OTAQ (Scarbro, 2001 and 2002).
More detailed documentation on the emission factors and speciation profiles used are
provided in Appendix C. The documentation is not meant to provide an exhaustive analysis on
the derivation of all the inputs. For example, an emission factor used may be given in the
appendix, but the source tests that were evaluated to obtain this factor may not be presented or
discussed. The goal of the documentation provided is to show in a brief and concise manner how
an emission estimate was derived. Included in Volume 2 of this report are copies of hard-to-
locate references that may help the reader better appreciate the data sources used in developing
their local emission estimates.
2.3.4 How Were National Emissions Allocated to Individual Counties?
The locomotive criteria pollutant and HAP emissions were allocated to the county level
by using 1999 county-specific railroad traffic data (ton miles) obtained from the Department of
Transportation (BTS, 2000). Using GIS software, county borders were overlaid with the US
railroad network in order to determine the rail activity in each county for the specific SCCs.
Each county was then assigned a weighted emissions factor by summing the product of the rail
activity and the track-specific loading factor for each track, and then dividing this sum by the
national total. GIS activity data for each county were available for each of the railroad category
used in this inventory except yard locomotives. It is recognized that there was some
inconsistencies with the BTS GIS data for other inventory years, therefore, the 1999 weight
factors were used in all inventory years. Inventories of yard locomotive activities have not been
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developed recently, therefore emissions for this category were spatially allocated to urban
counties which had Class I railroad activity based on the level of railroad activity occurring in the
county.
2.3.5	State Provided Data
In this version of NEI, state and local agencies provided locomotive data that replaced the
estimates based on national fuel consumption. Table 2-8 lists the states that made submittals and
includes comments about how their data were handled. EPA did not adjust or revise any data
submitted by state or local agencies - the data were used as submitted. For example if a state
submitted only ozone season daily estimates these values were not multiplied by 365 to estimate
annual emissions. Note, state emission estimates may differ significantly with EPA emission
estimates. Appendix E contains individual summary sheets for each state that submitted
locomotive data. Estimates were not provided by Puerto Rico and the Virgin Islands.
Locomotive estimates were not developed for these territories, as fuel and track activity data are
not readily available.
2.3.6	What are the Results?
Tables 2-9 and 2-10 summarize the locomotive mobile source emission estimates. Note,
the estimates provided in these tables include state-submitted data. Note, Puerto Rico has a very
small amount of rail lines in operation, primarily for hauling sugar cane. Unfortunately,
sufficient data are not available to quantify emissions. The Virgin Islands have no rail lines.
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Table 2-8. State Submitted Locomotive Data
State
Criteria
HAPs
Comments
1996
Alabama

~
Removed railroad emissions for specified
counties that do not have active rail lines.
Alaska

~
California-Lake
County

~
Utah

~
1999
Alabama
~

Replaced national estimates with state data for
CO, NOx, and VOC.
California
~
~
Replaced national estimates with state data for
CO, NOx, PM2 5, PM10, SOx, VOC, and
available HAPs.
Louisiana
~

Replaced national estimates with state data for
NOx and VOC.
Maryland

~
Replaced national estimates with state data for
provided HAPs (no POM data was included).
Minnesota

~
Replaced national estimates with state
submitted data for 38 HAPs.
Nebraska
~

Replaced national estimates with state data for
CO, NOx, PM10, SOx, and VOC.
Pennsylvania
~

Replaced national daily estimates with state
data for CO, NOx, and VOC.
Tennessee
~

Replaced national estimates with state data for
CO, NOx, and VOC.
Texas

~
Replaced national estimates with state data for
provided HAPs (no POM data were included)
and CO, NOx, VOC - nonattainment counties.
Utah
~

Replaced national estimates with state data for
CO, NOx, PM10, SOx, and VOC.
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Table 2-8. State Submitted Locomotive Data (Continued)
State
Criteria
HAPs
Comments
Wisconsin
~

Replaced national estimates with state data for
CO, NOx, and VOC.
2002
Alabama
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
Arkansas
~

Replaced national estimates with state data for
CO, NH3, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
Arizona (Maricopa
County)
~

Replaced national estimates with state data for
CO, NH3, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
California
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 30 HAPs. SCCs were updated to reflect
current EPA SCCs.
Colorado
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Connecticut
~

Replaced national estimates with state data for
CO, NOx, and VOC. SCCs were updated to
reflect current EPA SCCs.
District of Columbia
~

Replaced national estimates with state data for
CO, NOx, PM-PRI, S02, and VOC. Pollutants
were updated to reflect current EPA pollutant
codes.
Delaware
~
~
Replaced national estimates with state data for
CO, nh3, nox, pm10-pri, pm25-pri, so2,
VOC, and 40 HAPs
Florida (Pinellas
County)
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, PM-PRI, S02,
VOC, and 34 HAPs. SCCs were updated to
reflect current EPA SCCs.
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Table 2-8. State Submitted Locomotive Data (Continued)
State
Criteria
HAPs
Comments
Georgia
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Idaho
~

Replaced national estimates with state data for
CO, NOx, PM-PRI, S02, and VOC. SCCs
were updated to reflect current EPA SCCs.
Indiana
~

Replaced national estimates with state data for
CO, NH3, NOx, PM10-PRI, PM25-PRI, PM-PRI,
S02, and VOC. Pollutants were updated to
reflect current EPA pollutant codes.
Illinois
~

Replaced national estimates with state data for
CO, NH3, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
Kentucky (Jefferson
County)
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Massachusetts
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
Maryland
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
Mississippi
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Fort Peck Tribe
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 1 HAP. SCCs were updated to reflect
current EPA SCCs.
North Carolina
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
New Hampshire
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 20 HAPs. SCCs were updated to reflect
current EPA SCCs.
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Table 2-8. State Submitted Locomotive Data (Continued)
State
Criteria
HAPs
Comments
New Jersey
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. SCCs were updated to reflect current
EPA SCCs.
Nevada (Clark
County)
~

Replaced national estimates with state data for
CO, NOx, PM-PRI, and VOC. SCCs were
updated to reflect current EPA SCCs.
Pollutants were updated to reflect current EPA
pollutant codes.
Ohio
~

Replaced national estimates with state data for
CO, NH3, NOx, PM10-PRI, PM25-PRI, PM-PRI,
S02, and VOC. Pollutants were updated to
reflect current EPA pollutant codes.
Oregon
~
~
Replaced national estimates with state data for
NOx, PM10-PRI, PM25-PRI, S02, VOC, and 33
HAPs. SCCs were updated to reflect current
EPA SCCs. Pollutants were updated to reflect
current EPA pollutant codes.
Rhode Island
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, S02, and VOC. SCCs
were updated to reflect current EPA SCCs.
Tennessee
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
Texas
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 2 HAPs. SCCs were updated to reflect
current EPA SCCs.
Utah
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC. Pollutants were updated to reflect
current EPA pollutant codes.
Virginia
~

Replaced national estimates with state data for
CO, NOx, and VOC. SCCs were updated to
reflect current EPA SCCs.
Washington
~
~
Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, VOC,
and 36 HAPs.
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Table 2-8. State Submitted Locomotive Data (Continued)
State
Criteria
HAPs
Comments
Wisconsin
~
~
Replaced national estimates with state data for
CO, nh3, nox, pm10-pri, pm25-pri, pm-pri,
SO?, VOC, and 27 HAPs.
West Virginia
~

Replaced national estimates with state data for
CO, NOx, PM10-PRI, PM25-PRI, S02, and
VOC.
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Table 2-9. Locomotive Criteria Estimates 1978-2002 (TPY)
Pollutant
Year
1978
1987
1990
1996
1999
2000
2001
2002
voc
49,736.10
33,791.29
36,874.81
40,881.63
39,366.93
39,008.82
36,036.24
42,331.72
NOx
1,275,333.57
866,716.25
944,653.08
1,048,317.96
940,581.56
1,000,596.82
924,348.50
1,024,235.99
CO
126,367.26
85,876.16
93,612.66
103,872.89
99,651.37
99,140.65
91,585.85
109,183.27
S02
78,579.71
53,409.84
55,714.00
59,649.31
58,486.88
55,919.34
51,548.31
60,700.75
PM10-PRI
31,711.60
21,550.93
23,490.11
26,066.75
23,468.84
24,879.81
22,983.90
26,170.89
pm25-pri
28,540.44
19,395.83
21,141.10
23,460.07
21,284.01
22,391.83
20,685.51
23,583.67
PM-PRI







2,965.48
nh3







103.04
Table 2-10. Locomotive HAP Emission Estimates 1990-2002 (TPY)
Pollutant
1990
1996
1999
2002
1,3-butadiene
109.94
122.06
111.43
105.23
2,2,4-Trimethylpentane
82.69
91.68
87.23
82.05
Acenaphthene
0.68
0.76
0.70
0.66
Acenaphthylene
9.68
10.74
10.04
9.47
Acetaldehyde
646.87
718.22
815.15
795.67
Acrolein
108.79
120.80
128.25
110.02
Anthracene
2.29
2.54
2.37
2.23
Antimony


0.16
0.17
Benzene
87.88
97.57
139.10
138.74
Benzo(a)anthracene
0.37
0.41
0.39
0.35
Benzo(a)pyrene
0.07
0.08
0.07
0.06
Benzo(b)fluoranthene
0.15
0.16
0.15
0.14
Benzo(ghi)perylene
0.08
0.08
0.08
0.07
Benzo(k)fluoranthene
0.12
0.13
0.13
0.12
Beryllium & Compounds
0.65
0.72
0.68
0.63
Cadmium & Compounds
0.65
0.72
0.76
0.72
Chlorine


0.32
0.34
Chromium & Compounds


0.02
0.03
Chromium III
0.05
0.06
0.10
0.05
Chromium VI
0.10
0.11
0.05
0.09
Chrysene
0.27
0.30
0.29
0.26
Cobalt


0.01
0.01
Cumene


0.55
0.59
Ethyl Benzene
73.75
81.76
86.00
77.14
Fluoranthene
1.73
1.92
1.80
1.68
Fluorene
3.17
3.52
3.28
3.08
Formaldehyde
1,480.35
1,643.56
1,817.85
1,779.14
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Table 2-10. Locomotive HAP Emission Estimates 1990-2002 (TPY) (Continued)
Pollutant
1990
1996
1999
2002
Indeno( 1,2,3 -cd)pyrene
0.06
0.07
0.07
0.06
Lead & Compounds
1.96
2.17
2.08
1.98
Manganese & Compounds
0.05
0.05
0.09
0.10
Methanol


0.82
0.89
Methyl Ethyl Ketone


40.31
43.95
m-Xylene


16.61
18.12
Naphthalene
59.26
65.75
60.29
58.30
n-Hexane
202.81
224.85
217.63
191.32
Nickel & Compounds
0.15
0.17
0.20
0.17
o-Xylene


9.26
10.10
Phenanthrene
12.83
14.24
13.30
12.56
Phosphorus


0.14
0.15
POM



0.03
Propionaldehyde
224.94
249.38
224.72
235.72
p-Xylene


2.72
2.97
Pyrene
2.43
2.69
2.52
2.36
Selenium


0.01
0.01
Styrene
77.44
85.85
83.06
73.01
Toluene
118
130.82
164.12
152.33
Xylene
177
196.23
201.20
172.19
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2.3.7 Locomotive References:
Bureau of Transportation Statistics, 2000. National Transportation Atlas Databases - National Rail
Network 1:2,000,000. Washington, DC, Publisher: Bureau of Transportation Statistics.
Energy Information Administration Form EIA-821, "Annual Fuel Oil and Kerosene Sales Report'"
for 1999. Table 23: Adjusted Sales for Transportation Use: Distillate Fuel Oil Residual Fuel Oil,
1999, U.S.
Fritz, Steve, Diesel Fuel Effects on Locomotive Exhaust Emissions, California Air Resource Board.
SwRI 08.02062, October 2000.
Porter, Fred L., U.S. Environmental Protection Agency, emission Standards Division. Note to Anne
Pope, U.S. EPA/Emissions, Monitoring and Analysis Division. Comments on combustion source
information in the Baseline Emission Inventory of HAP Emissions from MACT Sources - Interim
final Report (September, 18, 1998 . November 13, 1998)
Scarbro, Carl, E-mail entitled A Few Questions on the Rail Emissions - Reply, to Richard Billings,
and Roger Chang, Eastern Research Group, Inc., United States Environmental Protection Agency
Office of Transport and Air Quality. July 19, 2001
Scarbro, Carl, E-mail entitled Chromium in Loco's - Reply, to Richard Billings, Eastern Research
Group, Inc., United States Environmental Protection Agency Office of Transport and Air Quality.
June 1, 2001
Scarbro, Carl, E-mail entitled Better Railroad Numbers This Will Disaggregate Class I Work, to
Roger Chang, Eastern Research Group, Inc., United States Environmental Protection Agency Office
of Transport and Air Quality. May 8, 2001
Scarbro, Carl, E-mail entitled CMVSOx corrections - Reply, to Richard Billings, Eastern Research
Group, Inc., United States Environmental Protection Agency Office of Transport and Air Quality.
May 28, 2002
Scarbro, Carl, E-mail entitled 2, 2, 4-trimethylpentane, to Richard Billings, Eastern Research
Group, Inc., United States Environmental Protection Agency Office of Transport and Air Quality.
June 1, 2001
Scarbro, Carl, E-mail entitled 2, 2, 4-trimethylpentane, to Roger Chang, Eastern Research Group,
Inc., United States Environmental Protection Agency Office of Transport and Air Quality. March
26, 2002
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Truex, Timothy J. and Joseph M. Norbeck. Evaluation of Factors that Affect Diesel Exhaust
Toxicity. University of California-Riverside, Center for Environmental Research and Technology.
Riverside, CA. March 16, 1998.
U.S. Environmental Protection Agency Form APR420-F-97-051, Emission Factors for
Locomotives, for 1996 Table 9: Fleet Average Emission Factors for All Locomotives (Projected
1999), December 1997
U.S. Environmental Protection Agency, Locomotive Emission Standards Regulatory Support
Document, page 109 April 1998.
U.S. Environmental Protection Agency, Procedures for Emission Inventory Preparation, Volume
IV: Mobile Sources. 1992.
U.S. Environmental Protection Agency. Procedures for Emission Inventory Preparation, Volume
IV: Mobile Sources. Office of Air Quality Planning and Standards. Research Triangle Park, NC.
1989.
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2.4 Other Nonroad Mobile Sources
2.4.1 What are Other Nonroad Mobile Sources?
The other nonroad mobile source category includes vehicles and equipment that normally
are not operated on public roads nor provide transportation and are not considered aircraft, CMVs,
or locomotives. Note, the individual source categories included in this group parallel the source
categories included in the NONROAD model. This includes categories such as lawn and garden
equipment, agricultural equipment, logging equipment, construction equipment, airport service
vehicles, locomotive maintenance vehicles, and recreational equipment (including recreational
vehicles and marine equipment).
The other nonroad vehicles and equipment include both diesel-powered and gasoline-
powered engines. Gasoline-powered engines can further be characterized into two engine
categories, specifically 2- and 4-stroke engines.
2.4.2 What Pollutants are Included?
OTAQ identified the HAPs for which data were available to develop inventory estimates
(Scarbro, 2001; Cook, 1998a; Cook, 1997). These HAPs, listed below, were identified based on
available test data and accepted emission estimating procedures.
1,3-Butadiene
2,2,4-Trimethylpentane
Acetaldehyde
Acrolein
Benzene
Chromium (Hexivalent)
Chromium (Trivalent)
Dioxins/Furans
Ethylbenzene
Formaldehyde
Lead
Manganese
Methyl Tert-Butyl Ether
n-Hexane
Nickel
PAH
Propionaldehyde
Styrene
Toluene
Xylenes
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2.4.3 How Were the Other Nonroad Vehicle and Equipment Emissions Estimated?
The other nonroad emission estimates provided in this inventory were derived using a
mixture of "top down" and "buttom up" approaches. Figure 2-5 provides an overview of the
approaches used to estimate emissions from this source category. Submitted state data replaced the
nationally-developed estimates.
The emission estimates for metal HAPs, excluding lead, were developed by applying
emission factors to vehicle activity or fuel consumption data. For these metal HAP estimates, it was
necessary to combine the 2- and 4-stroke engine-type categories into one category, called gasoline
engines. Thus, metal HAP emissions for all gasoline engines, regardless of type, were based on the
same metal emission factor. A national estimate of other nonroad lead emissions was obtained by
multiplying the average lead content of mobile fuel with the amount of fuel used nationally and the
fraction of the fuel used by other nonroad sources. Note, the lead content of fuel is very small and
represents trace compounds in the extracted crude oil.
The emission estimates for organic HAPs were developed by applying HAP/VOC speciation
profiles to county-level VOC estimates. A number of different fuels are used in onroad vehicles. It
was assumed that these same fuels were used in other nonroad applications, these fuels included:
~	Baseline gasoline, conventional lead-free fuel;
~	Winter oxygenated gasoline with methyl tertiary butyl ether (MTBE) or tertiary amyl
methyl ether (TAME);
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County Level VOC/PM
Estimate from Nonroad
Model
County Fuel Program
is Identified
National
Activity/Fuel Usage
Emissions Allocated
to County Based on
County/National PM
Ratios
Nonroad Metal
HAP Emission
Factors
HAP/PM Speciation
Profiles are Applied
to County Level PM
Estimates
County Level HAP
HAP/VOC Speciation
Profiles for Specific
Fuels Used in
County are Applied
to VOC Estimate
Figure 2-5. Overview of Methods Used to Estimate County Level HAP Emission
from Nonroad Mobile Sources
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~	Winter oxygenated gasoline with ethanol;
~	Reformulated fuels with MTBE or TAME;
~	Reformulated fuels with ethanol; and
~	Diesel.
Note, there are some nonroad fuels that are developed specifically for special nonroad
applications such as agricultural operations and recreational marine.
In this inventory, attempts were made to account for the use of these different fuels.
Information was obtained from OTAQ that indicated the percentage of the year each gasoline fuel
type was used in each county. These data were based on individual county participation in the
Federal Reformulated Gasoline Program and State Oxygenated Fuel Programs. A listing of these
counties, as well as the percentage of the year each gasoline fuel type was used, can be found in
Volume 2.
The fuel usage data were considered in assigning appropriate speciation profiles to each
county. These profiles matched engine type, fuel type, and emission type, and were applied to the
other nonroad criteria estimates for each county to calculate the county-specific HAP emissions. As
mentioned earlier, there are three possible engine types (diesel, 2-stroke gasoline, 4-stroke gasoline)
and six possible fuel types. Additionally, the emissions can be either exhaustive or evaporative for
gasoline engines. It was assumed that diesel fuels have negligible evaporative emissions.
In some cases it was possible to obtain engine-specific HAP/VOC speciation profiles for
certain pollutants. The speciation profiles used can be found in Appendix D. When specific
HAP/VOC speciation profiles could not be obtained, average speciation profiles for each nonroad
engine type (i.e., 2-stoke, 4-stroke, and diesel) were developed and used. These profiles were based
on recent test studies published in peer-reviewed journals, as well as profiles compiled in the EPA's
SPECIATE database (EPA, 1995).
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It should be noted that different HAP/VOC speciation profiles for acetaldehyde, acrolein,
formaldephyde, propionaldehyde, and 2, 2, 4-trimethylpentane were used to estimate other nonroad
diesel emissions in California to account for the reformulated diesel fuel used in that state (Scarbro
2002).
County-level VOC estimates were derived from 1999 NONROAD model runs (Thesing,
2002) using the "lockdown C (May 2002)" version. The other nonroad county-level VOC estimates
were provided as exhaust and evaporative exhaust emissions. These county level VOC estimates
were applied to the fuel specific speciation profiles matched to each county to estimate the organic
HAP emissions.
Diesel PAH speciation profiles were derived differently from the gasoline PAH profiles. In
the case of diesel PAH profiles, additional data on highway diesel fuel usage in nonroad diesel fuel
operations were available. Therefore, the nonroad diesel PAH speciation profiles were derived by
applying the ratio of the percent of highway fuel usage and onroad diesel PAH data profiles to
nonroad fuel consumption and nonroad diesel PAH data.
The documentation included in Appendix D provides details on how emissions were
estimated and identifies the key input data that were used in the calculation of speciation profiles.
The documentation is not meant to provide an exhaustive analysis on the derivation of all the
inputs. For example, a speciation profile used for a national estimate may be given in the appendix,
but the source tests that were evaluated to obtain this factor may not be presented or discussed. The
goal of the documentation provided is to show in a brief and concise manner how a given estimate
was derived. Included in Volume 2 of this report are copies of hard-to-locate references that may
help the reader better appreciate the data sources used in developing their local emission estimates.
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2.4.4	How Were National Emissions Allocated to Individual Counties?
National estimates of metal HAP emissions from other nonroad vehicles and equipment
were distributed to individual counties using the county proportion of other nonroad PM10
emissions, provided from the NONROAD model, versus total national PM10 emissions.
All other nonroad vehicle and equipment HAP estimates were calculated at the county level
by multiplying the appropriate speciation profile by their county level VOC estimates or PM
estimates as obtained from the NONROAD model.
2.4.5	State Provided Data
Where states provided their own nonroad HAP emission estimates, their data were given
priority over all other data. In this version of NEI, two states, California and Texas provided
nonroad HAP data (see Table 2-2). The state data submitted replaced the estimated emissions
developed from national data. EPA did not adjust or revise any data submitted by state or local
agency's - the data were used as submitted. For example if a state submitted only ozone season
daily estimates these values were not multiplied by 365 to estimate annual emissions. Note, that in
some cases state or local agency's submitted estimates where PAH or metal HAPs were not
disaggregated into individual species, as was done in the nationally-derived estimates. In such
cases, both the state or local estimates and the national estimates were retained (e.g., Nickel and
Nickel and Nickel compounds; the nickel estimates are nationally-derived estimates while the nickel
and nickel compounds are state derived estimates). It is recognized that a small amount of double
counting may occur by taking this approach. Note, state emission estimates may differ significantly
with EPA emission estimates. Appendix E contains individual summary sheets for each State that
submitted nonroad data.
Puerto Rico and the Virgin Islands did provide estimates for 1996, but not any other year.
New runs of the nonroad model have recently been completed for criteria pollutants for 1999, such
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that the 1996 HAP estimates may not necessarily be consistent with the 1999 criteria estimates. At
the time this report was being developed, the NONROAD model did not generate emissions for
these two U.S. territories and the 1996 estimates were used for NEI HAP purposes.
Table 2-11. Summary of State Submitted Other Nonroad Data
State
Criteria
HAPs
Comments
1996
Puerto Rico and
Virgin Islands

~
Replaced national data with state submitted
estimates.
Tennessee -
Davidson County

~
Replaced national data with state submitted
estimates.
1999
California

~
Replaced national data with state total data for
available pollutants. Removed pollutants not
included on the list of regulated HAPs.
Texas

~
Replaced national data with state data for
available pollutants. Quarterly data was
combined to get annual estimates.
2.4.6 What Are the Results?
Table 2-12 summarizes the other nonroad vehicle and equipment emission estimates
developed for each HAP. Table 2-13 summarizes the other nonroad vehicle and equipment
emission estimates developed for POM. Note, the estimates in these tables include state provided
estimates. Emission estimates for Puerto Rico and the Virgin Islands were provided for 1996 by
using populations to scale the other nonroad emission estimates from Hawaii. These estimates were
applied to 1999.
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Table 2-12. Other Nonroad HAP Emissions Estimates for 1990-1999
Pollutant
1990
1996
1999
1,3-Butadiene
9,415.32
10,493.58
8,979.06
2,2,4-T rimethylpentane
91,327.56
105,118.19
94,394.79
2,3,7,8-TCDD TEQ
1.5E-04
1.8E-04
1.97E-04
Acetaldehyde
15,360.93
17,705.88
18,877.04
Acrolein
1,525.24
1,764.54
1,983.32
Antimony


1.96
Benzene
70,805.26
77,578.86
65,747.14
Cadmium


0.95
Chlorine


285.81
Chromium


2.16
Chromium & Compounds

0.361
1.53
Chromium (VI)
0.27
0.29
0.29
Chromium III
0.53
0.57
0.57
Cobalt


2.10
Cumene


68.36
Ethyl Benzene
45,569.98
50,279.27
43,813.03
Formaldehyde
36,453.02
41,735.44
44,377.97
Hexane
31,918.61
35,493.61
29,637.76
Lead


0.42
Lead & Compounds
1.34
1.25
1.19
m-Xylene


5,757.99
Manganese


2.34
Manganese & Compounds
0.48
0.95
2.29
Methanol


887.33
Methyl Ethyl Ketone


487.81
Methyl Tert-Butyl Ether
19,757.35
47,428.94
24,333.75
Nickel


2.24
Nickel & Compounds
0.90
1.20
1.80
o-Xylene


2,041.31
p-Xylene


27.87
Phosphorus


1.74
Propionaldehyde
3,861.36
4,309.96
4,004.03
Selenium


0.07
Styrene
2,406.59
2,741.71
3,985.23
Toluene
209,919.50
237,002.35
209,889.93
Xylenes (Mixture of o, m, and p Isomers)
184,726.35
208,889.90
189,985.11
16-PAH

0.877
2.73
7-PAH

0.445
1.38
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Table 2-12. Other Nonroad HAP Emissions Estimates for 1990-1999 (Continued)
Pollutant
1990
1996
1999
Acenaphthene
25.47
25.24
22.59
Acenaphthylene
49.49
50.75
41.36
Anthracene
9.50
10.41
8.77
Benz [a] Anthracene
2.60
3.00
2.86
Benzo[a]Pyrene
2.27
2.62
2.46
Benzo [b] Fluoranthene
1.76
1.97
1.74
Benzo[g,h,i,]Perylene
7.86
9.23
8.92
Benzo [k] Fluoranthene
1.63
1.81
1.59
Chrysene
2.17
2.42
2.24
Dibenzo [a,h] Anthracene
0.05
0.06
0.66
Fluoranthene
23.57
26.71
25.16
Fluorene
42.79
45.40
41.62
Indeno [ 1,2,3 -c,d] Pyrene
2.39
2.80
2.70
Naphthalene
727.30
741.44
672.20
Phenanthrene
80.22
82.06
74.28
Pvrene
25.70
29.53
27.55
2.4.7 Other nonroad Mobile Source References:
Billings, Richard. E-mail entitled Lead Emissions (Aircraft) - Reply, to Rick Baker and William
Gerber, Eastern Research Group, Inc., Eastern Research Group, Inc. Morrisville, NC. June 21,
2001.
Cook, Rich and Joe Somers. Memorandum entitled Revised Methodology and Emission Factors for
Estimating Mobile Source PAH Emissions in the National Toxics Inventory, to Laurel Driver and
Anne Pope, U.S. EPA Office of Air Quality Planning and Standards. U.S. EPA Office of
Transportation and Air Quality. Ann Arbor, MI. June 11, 2001
Cook, Rich. Memorandum entitled Guidance on Mobile Source Emission Estimates in the 1996
National Toxics Inventory, to Laurel Driver and Anne Pope, U.S. EPA Office of Air Quality
Planning and Standards. U.S. EPA Office of Mobile Sources. Ann Arbor, MI. June 9, 1998a.
Cook, Rich. E-mail entitled Nonroad Vehicles and Equipment Emission Changes - Reply, to
Richard Billings and Teresa Kraus, Eastern Research Group, Inc., U.S. EPA Office of Mobile
Sources. Ann Arbor, MI. October 14, 1998b.
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Cook, Rich. Memorandum entitled Source Identification and Base Year 1990 Emission Inventory
Guidance for Mobile Source HAPs on the OAQPS List of 40 Priority HAPs, to Laurel Driver and
Anne Pope, U.S. EPA Office of Air Quality Planning and Standards (OAQPS). U.S. EPA Office of
Mobile Sources. Ann Arbor, MI. 1997. June 11, 1997.
Office of Highway Policy Information (OHPI), U.S. Department of Transportation Federal Highway
Administration Motor Fuel Section - Highway Statistics 1999, Tables MF-21 and
MF-24 http://wwwcf.fhwa.dot.gov/ohim/hs99/mfpage.htm Accessed 10/1/01
Scarbro, Carl. E-mail entitled Revised Emission Factors for Nonroad CI Engines, to Richard
Billings, Eastern Research Group, Inc. U.S. EPA Office of Transport and Air Quality, Ann Arbor,
MI. April 23, 2002
Scarbro, Carl. Memorandum entitled Volatile Organic Compounds from Four and Two Cycle
Engine Recreational Equipment for the National Toxic Inventory, to Laurel Driver, U.S. EPA
Office of Air Quality Planning and Standards. U.S. EPA Office of Transport and Air Quality, Ann
Arbor, MI. June 7, 2001
Thesing , Kirsten B. Computer File, NR1999_ERG.zip, with county level VOC and PM activity
E.H. Pechan and Associates, Inc., The Pechan-Avanti Group. Durham, NC. June 25, 2001.
U.S. Department of Commerce. Estimates of the Population of Counties: Annual Time Series, July
1, 1990 to July 1, 1997 (includes revised April 1, 1990 consensus population counts). CO-97-4.
Population Estimates Program, Population Division, U.S. Bureau of the Census. Washington, DC.
Available at the following Internet site: http://www.census.gov. March 17, 1998.
U.S. Environmental Protection Agency. National Emission Trends Viewer, Version 2.0
(CD-ROM). U.S. EPA Office of Air Quality Planning and Standards, Emission Factor and
Inventory Group. Research Triangle Park, NC. 1998.
U.S. Environmental Protection Agency. TOC/PMSpeciation Data System, Version 2.03. U.S. EPA
Office of Air Quality Planning and Standards. Research Triangle Park, NC. 1995.
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3.0 COMPILING THE INVENTORY DATA INTO THE NEI DATABASE
One of the goals of compiling the NEI was to process all the national and state supplied
inventory data into a common structure with consistently defined data fields. A common data
structure will help end users define standardized approaches to reviewing and using the data. The
NEI Input Format (NIF) version 3.0 as designed by EPA allows for a variety of data transfer
mechanisms to be used and is flexible enough to be supported by many different database programs.
More detailed information about the NIF can be found at http//www.epa. gov/ttn/chief/nif/index,html.
Several processing and screening steps were initially performed on the state databases as
they were received. These steps included:
~	Converting any files submitted in NIF version 1.2 and version 2.0 to version 3.0;
~	Manually setting primary keys on each table;
~	Performing quality control (QC) checks on the files, including running EFIG's
NIF QA software on each file;
~	Removing duplicate records;
~	Removing records that had null and zero emissions;
~	Screening for records that contain pollutants on the list of the 188 CAA HAPs;
~	Adding state abbreviation based on FIPS code;
~	Correcting referential integrity violations;
~	Checking/correcting miscellaneous data codes such as emission release point
type, emission type, and emission unit numerator; and
~	For state submitted data, the data source flag will be noted as S and where EPA
data are retained, the flag will be E. The flags can be found in the data source
field.
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4.0 WHAT ARE THE LIMITATIONS OF THIS AIRCRAFT, COMMERCIAL
MARINE VESSEL, LOCOMOTIVE, AND OTHER NONROAD
INVENTORY?
As with the development of any emissions inventory, the accuracy of the final estimates
varies considerably. Given the methods used to calculate the estimates, the most important factor
influencing the quality of the estimate is the validity of the emission factors and speciation profiles
used, both in terms of absolute accuracy, as well as representativeness for each source type. For
criteria pollutants, this is less of an issue as the emission factors are derived from extensive study
and testing. For example, the criteria estimates for CMV and rail sources are derived from studies
that support recent regulatory efforts. Criteria pollutant estimates for aircraft are also based on
extensive emission testing incorporated into the FAA's EDMS model.
The situation for HAPs is very different, as few HAP emission factors or speciation profiles
have been developed for these sources. The majority of available HAP emission factors and
speciation profiles data were either old and/or very limited in terms of coverage. This lack of data
may be because the HAPs have not always been viewed as significant; therefore, little testing has
been performed. This means that a very limited number of data points were available to
characterize an entire engine type, without the benefit of knowing what the variability may be. In
this version of the NEI, a number of significant revisions have been made to incorporate recent data
and improve the accuracy of the inventory. Where there were no test data for a specific engine type,
surrogate data from a related source had to be used to estimate emissions. While not optimal, this
approach was necessary in order to provide as complete an inventory of emission sources as
possible.
The activity data can also affect the quality of emissions estimates, but activity data are
usually easier to obtain and often have more credibility.
When interpreting the emission estimates in this study at the local or state level, it is
important to appreciate that the estimates use a "top-down" approach, such that national emissions
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are allocated to individual counties using appropriate surrogates. This approach may underestimate
emissions in some counties and may overestimate emissions in other counties depending upon the
specific types of fuel or equipment used. The county-level estimates are considered only a rough
approximation of actual emissions. State or local data are considered to be more accurate for the
counties they represent than the disaggregated national estimates. Unfortunately, few states and
local agencies have developed aircraft, CMV, locomotive and other nonroad emission inventories.
The EPA strongly recommends that states and local agencies under take data collection to provide
more accurate emission estimates.
As with most inventory efforts, improvements in methods and data can often be made in
order to enhance the accuracy of the emission estimates or enhance the usefulness of the data. The
following areas of improvement have been identified and EPA staff will be working on these
improvements as resources permit.
Aircraft
•	Develop better methodologies that rely on available activity data for the diverse
aircraft included in the military aircraft category.
•	States and local agencies should be encouraged to develop airport specific emission
estimates using the new FAA EDMS emission estimating tool in conjunction with
local aircraft specific activity data. (This is particularly important for smaller
municipal airports and private landing strips)
•	In the current version of the aircraft component of NEI, some states provided aircraft
emission estimates in their point source file. These data were retained in the point
source data set and the nationally derived aircraft emissions for the associated
counties were removed. In the future it is recommended that the adjustment for
double counting be done at the airport level, not the county-level. This will be
highly dependent upon the states' submittal schedule, as sufficient time is needed to
match individual airports in the nationally developed data set with those provided by
the state.
•	States are requested to review the supplemental data to insure that the latitude and
longitude coordinates associated with the airports included in this inventory are
correct.
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•	States are requested to review the supplemental data to insure that the latitude and
longitude coordinates associated with the airports included in this inventory are
correct.
•	As new and more representative HAP profiles become available, these data should
be incorporated into NEI, specifically, methodologies should be developed to
estimate mercury and arsenic emissions from aircrafts.
Commercial Marine Vessels
•	States should be encouraged to develop emission estimates for their ports based on
the latest emission factors used in regulatory rulemaking.
•	It is recognized that there are some inconsistencies with the BTS GIS data for other
inventory years, therefore, the 1999 weight factors were used in all other inventory
years until BTS has revised their GIS data files.
•	Port emissions were assign to the top 150 ports based on cargo handling, a more
complete list of ports along with appropriate traffic data would improve the quality
of the port-level emission estimates.
•	OTAQ has developed port specific inventory estimates that can be incorporated
directly into the NEI. Methods need to be developed that adjust these port data for
the different inventory years used in NEI
•	As new and more representative HAP profiles become available, these data should
be incorporated into NEI, specifically, methodologies should be developed to
estimate mercury and arsenic emissions from CMVs.
Locomotive
•	State and local agencies can play an important role in developing inventories of
railroad activity that occurs in their geographic areas, especially with regard to the
smaller Class II/III and commuter railroad operations. In developing these railroad
inventories it is recommended that emission factors developed in support of recent
rulemaking activities be used in these local locomotives emission inventories.
•	Inventories of yard locomotives have not been updated in many years. It is
recommended that states inventory these locomotives and provide criteria and HAP
emission estimates based on emission factors developed in recent locomotive
rulemaking.
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•	It is recognized that there are some inconsistencies with the BTS GIS data for other
inventory years, therefore, the 1999 weight factors were used in all other inventory
years until BTS has revised their GIS data files.
•	As new and more representative HAP profiles become available, these data should
be incorporated into NEI, specifically, methodologies should be developed to
estimate mercury and arsenic emissions from locomotives.
It is important that states and local agencies provide accurate and complete data. The EPA
intends to use the aircraft, CMV, locomotive and other nonroad data as submitted. The submitted
data will not be manipulated to fill data gaps; therefore, states and local agencies need to provide
complete data sets, with correct pollutant identification codes (e.g., HC, TOG, ROG emission
estimates can be provided but only VOC data will be used). It is also important that states use the
most recent SIC listing.
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5.0 QUALITY ASSURANCE PROCEDURES
5.1 Introduction
The aircraft, CMV, locomotive, and other nonroad components of the NEI comprise the
largest data set currently incorporated in the NEI. At this time, this nonroad data set contains over
14 million records, stored in more than 2 gigabytes of memory. This large and complex data set
matches emission factors for approximately 40 HAPs associated with 10 different fuels to
approximately 230 individual source categories for each of the 3,141 counties included in this
inventory, based on the type of fuel used. Given the inherent complexity of this emission inventory,
it is critical that quality checks be performed throughout the inventory process. This chapter
discusses the quality checks that are performed, not only to provide documentation of the quality
assurance procedures used in the NEI, but also to provide state, local and tribal (S/L/T) agencies
with insights that may lead to improved local data submittals.
The quality assurance procedures for the nonroad NEI are dis-aggregated into the following
checks:
•	Quality checks performed on nationally-derived emission estimates;
•	Quality checks performed on S/L/T submitted emission estimates;
•	Quality checks performed on the NEI database structure;
•	Peer review of draft emission estimates;
•	Development of final emission estimates; and
•	Quality checks performed on S/L/T output HAP data files.
In implementing these multiple quality checks and data comparisons, considerable insight is
developed concerning the consistency and reasonableness of the emission estimates provided in this
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inventory. In many ways, the process of quality checking the data helps the emission inventory staff
validate the data used and validate the calculated emission estimates. The specific objectives and
procedures implemented for each of the above quality assurance activities are discussed in greater
detail in this chapter.
5.2 Quality Checks Performed on Nationally-Derived Emission Estimates
In developing the national emission estimates for the nonroad mobile source categories,
quality checks are performed to insure that the emission estimating procedures used are appropriate
and correctly implemented. The procedures discussed in detail in the appendix have been
developed and reviewed by staff from EPA's EFIG and the OTAQ. Data sets of emission factors
and speciation profiles are maintained for each of the nonroad source categories included in this
report. These data sets are reviewed to determine if they have been compiled correctly. Similarly,
the activity data and spatial allocation files used in this inventory effort are also reviewed to insure
that the values are reasonable and complete. Other data sets, such as the county fuel parameter data
set and GIS spatial allocation files, used to match nonroad source category emission factors and
geographic information with individual counties, are checked for errors. These and other checks
performed on the national emission estimates are discussed in greater detail below.
5.2.1 Evaluate Emission Estimating Procedures
The calculation procedures used to estimate emissions are checked to make sure that the
units cancel out, correctly providing emissions in terms of tons of a specified HAP emitted per year.
The emission calculations are also reviewed to insure that no mathematical errors have occurred.
Where spreadsheets are used, the equations are evaluated to make sure that the correct cells are
included in the spreadsheet formula, and that the formula has been applied correctly in the
spreadsheet. Where databases are used, the update queries are reviewed to make sure that the steps
implemented match the procedures included in the documentation and the data files are properly
linked and include the correct equations. Lastly, all units are checked to insure that erroneously
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reported (e.g., pounds or milligrams are not reported as tons). All of these checks on the emission
estimating procedures are performed by senior staff members who are familiar with the source
category and procedures, but were not directly involved in the calculations. This allows for an
independent evaluation of the emission estimating procedure.
5.2.2	Review Emission Factors and Speciation Profiles
Emission factors and speciation profiles used in this report are compiled from a large
number of references recommended by OTAQ staff. Prior to actually using these factors and
profiles in the calculations, they are entered into separate data sets for each of the source categories
included in this report. Most of the factors and profiles are obtained from hard copy reports and
entered manually into database tables and spreadsheets. These data are independently reviewed to
insure that the correct values have been entered. Special attention has been paid to the units (e.g.,
mg/VMT, lbs/gal, VOC fraction) associated with the emission factors to insure that the units
reported in the documentation match the units in the original report. If errors are encountered, the
project supervisor is notified and the factors or profiles are corrected.
5.2.3	Activity Data
As with the emission factors and speciation profiles, activity data are obtained from a variety
of sources in a variety of formats. Prior to using the activity data in the emission estimating
procedures, the data are incorporated into database tables or spreadsheets and quality checked. In
some cases, the data may be provided as a hard copy or in an electronic format. The hard copy data
are independently evaluated to insure that the correct data have been incorporated into the inventory
database table or spreadsheet. If the data are obtained in an electronic format, the file size of the
original data set and inventory data set are compared as are the number of records transferred to
indicate whether the data transfer was complete. Individual values may be compared to identify any
differences between the two data sets. If differences have been identified, the inventory data set is
revised to include the correct activity data.
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5.2.4 Check Other Input Data
Other input data files such as the county fuel usage data files and data files used to spatially
allocate emissions to individual counties are reviewed in the same manner as the emission factor
and activity data. These data tend to be provided as electronic files, such that the main concern is
correctly transferring the data from the original electronic format to an appropriate database table or
spreadsheet. The database tables and spreadsheets are compared and incorrect data are revised prior
to use in the emission estimating procedures.
5.2.5	Check Output Data
After the emissions have been calculated and draft inventory data files developed, these data
files are reviewed to insure that the correct number of sources categories, counties, and pollutants
are included. If counties, source categories, or pollutants appear to be missing, the output data set is
evaluated to determine whether there are errors in the emission equations, emission factors,
speciation profiles, activity data, or spacial allocation factors. In some cases, the source category for
which the emissions are estimated may not necessarily be in all counties. For example, not all
counties have active railroad operations or navigable waterways, and therefore not all counties
should have locomotive or CMV emission estimates. Because different onroad and nonroad fuels
are used in the individual counties, the emission profile for a given county may legitimately exclude
or include pollutants found in an adjacent county. For these reasons, it is important to evaluate
missing output data elements carefully. If errors are encountered, the original inventory data table
(e.g., emission factor/speciation profile, activity, spatial allocation) should be modified and update
queries or calculations rerun. It is important not to correct the output data file itself.
5.2.6	Identify Outliers
Once the output data file have been quality checked, the emissions data can be evaluated to
identify outliers in the emission estimates. This includes identification of emission estimates that
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are unexpectedly high or low. It is helpful to perform these comparisons using GIS tools to evaluate
spatial aspects of emissions by source category. For example, CMV emissions should be limited to
waterways and locomotive emissions should be closely associated with maps of railway lines.
Another helpful quality assurance tool is ranking emissions for each HAP for each source
category. Comparing emission rankings within a source category can highlight possible errors in
activity data and emission factors, especially for pollutants that may be orders of magnitude larger
or smaller than anticipated. If the emission factors and activity data are correct, it is important to
highlight these differences during the peer review process.
5.2.7 Compare with Historical Data
After emission estimates have been developed and allocated to individual counties, the data
are summarized and checked with historical emission estimates to insure that the estimates are
reasonably consistent from year to year. This comparison is performed using national emission
estimates that do not include S/L/T data, allowing for comparison of emission estimates that have
been developed with similar methodologies.
If historical estimates vary by more than 10 percent from year to year, these values are
flagged and investigated further. This investigation includes review of the emission factors and
activity data used between the two years. Where the emission factors or activity data used in the
inventory are incorrect, the estimates are revised and new spatially allocated estimates are
developed.
In some cases, emissions can vary from year to year for legitimate reasons. For example, the
introduction or discontinuation of reformulated fuels tend to be associated with significant changes
in annual emission trends. Similarly, the phase out of leaded-fuels is linked with a significant
decline in historical onroad and nonroad lead emissions.
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5.3 Quality Checks Performed on S/L/T Submitted Emission Estimates
Once a S/L/T agency submits their data, a number of quality checks are performed to insure
that the data are in the correct format, use appropriate NIF codes, and contain reasonable emission
estimates. S/L/T data are not incorporated into the NEI until all quality checks have been
implemented and any errors addressed. The checks performed on the submitted data are discussed
in greater detail below.
5.3.1	Evaluate Database Structure
After verifying that the S/L/T submitted database can be opened, it is necessary to determine
whether the data are in an appropriate format. The preferred format is an Access® relational
database as these databases tend to provide relatively compact data files that are easy to use.
However, flat ASCII files can also be submitted. These ASCII files must be converted into
appropriate database tables using the latest version of NEI File format (i.e., 3.0) prior to initiating
the following quality checks.
During the process of evaluating the S/L/T submitted database structure, records with
duplicate primary keys are identified, such situations indicate the possibility of double counting of
emission sources. These issues of duplicate records tend to occur where local inventory staff have
not defined primary keys in their relational database or when working with ASCII data files.
If the data file can not be opened or the data are provided in an inappropriate format or
duplicate values are identified, the S/L/T contact is notified and a revised file is requested.
5.3.2	Identify Inappropriate Codes
To insure that the S/L/T data files can be incorporated into the NEI, the codes used in the
submitted data file are checked to insure that they correspond to current NEI codes. It is particularly
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important that S/L/Ts use the correct pollutant codes and SCC codes. In some cases, S/L/Ts may
have aggregated SCC codes that the nationally-derived emission estimates have dis-aggregated;
where this has occurred, these S/L/T data files are flagged and quality checks are performed
individually to account for the unique aggregation of source categories.
Some S/L/Ts provided emission estimates for unusual time periods such as "average
summer weekday." The use of these unusual reporting periods, suggest that an incorrect emission
type code may have been unintentionally used. If questionable or inappropriate codes have been
submitted, S/L/T agencies are contacted and a corrected data file is requested.
5.3.3	Removal of Non-Criteria Pollutants and HAPs
NEI only addresses Federally regulated criteria pollutants and HAPs. Some S/L/Ts provided
estimates for HAPs of local concern that are not included on the 188 HAP list. These additional
HAPs are identified and removed from the S/L/T data files prior to inclusion into NEI.
5.3.4	Compare Submitted Estimates for Consistency
The reasonableness of the S/L/T submitted data is evaluated prior to including the data into
the NEI. For example, if a S/L/T agency has provided PM10 and PM2 5 emission estimates, these
values are compared to insure that the PM2 5 estimates are always less than the PM10 values.
Organic HAP emission estimates are totaled and compared with VOC estimates to insure that the
VOC values are always larger than the total organic HAP values. If the submitted emission
estimates do not pass these data consistency tests, then the S/L/T agency is contacted and a correct
data file requested.
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5.3.5 Comparison with Nationally-Derived Emission Estimates
Lastly, the S/L/T submitted data are compared with the nationally-derived emission
estimates to flag emission values that vary more than an order of magnitude. Where such
differences have been identified, S/L/T agencies are contracted and the findings discussed. Because
S/L/T agencies are able to utilize more accurate local activity data, their emission estimates tend to
be of better quality than the nationally derived estimates that have been spatially allocated to
counties using surrogate data. The point of this quality check is to allow S/L/Ts an opportunity to
review their data submittal prior to inclusion into the NEI. If the S/L/T agency is confident in their
estimates, then their data will be incorporated into the NEI. If the S/L/T agency agrees that an error
has been made then they can resubmit their data. If time allows, it may be incorporated into NEI
after all quality checks have again been implemented.
5.4 Quality Checks Performed on NEI Database
Once the S/L/T data have been incorporated into the national emission estimates, it is
necessary to evaluate the aggregated NEI data set to insure that the data set is complete and
correctly populated. The database is also evaluated to insure that all required data elements needed
for generating output in the latest NIF file format have been included.
5.4.1 Identify Data Gaps
In some case, S/L/T agencies provide emission estimates for a limited number of HAPs, for
specific source categories, or specific counties. Where the nationally derived emission estimates
have been developed for additional pollutants, source categories, or counties, these values are used
to fill data gaps in the S/L/T submittals.
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5.4.2 Insure Data Fields are Correctly Populated
As noted above, S/L/T agencies may develop emission estimates for source categories that
have been dis-aggregated in the nationally derived emission estimates. Where this occurs, the
nationally derived emission estimates are fully reviewed and appropriate data removed from NEI to
avoid double counting of emission estimates.
5.5	Peer Review of Draft Final Emission Estimates
All components of the aircraft, CMV, locomotive, and other nonroad inventory undergo
independent peer review by senior staff at the EFIG and the OTAQ. Peer reviewers are provided
summaries of the national emission estimates (with and without S/L/T data), the compiled
emissions data set, and associated NEI documentation. This peer review is implemented to insure
that the correct procedures were followed and input data were used correctly. EFIG and OTAQ
staff members review the emission totals to make sure that they are consistent and make sense.
Because OTAQ staff are familiar or involved with newly developed regulations, part of this
check is to insure that the emission estimates presented in the NEI agree with emission estimates in
the regulatory background documents or properly account for introduction of new control
technologies or fuels to comply with mobile source regulations.
5.6	Development of Final Emission Estimates
Once the national emission estimates have been checked, the submitted S/L/T data have
been incorporated, and external peer reviewers have completed their assessment of the data,
necessary corrections or changes are made to the final data set. In some instances, peer reviewers
may request additional review once the changes have been made. This sometimes leads to
additional changes. The inventory documentation is reviewed once all of the peer reviewer
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comments have been address to insure that all changes made to the data are reflected in the
documentation.
5.7 Quality Checks Performed on S/L/T Output Data Files
One of the last steps in developing the aircraft, CMV, locomotive, and other nonroad
inventory is to dis-aggregate the NEI HAP data set into individual data sets for each of the S/L/Ts.
These individual HAP data sets need to be checked to insure that they are complete and no data
were unintentionally dropped during the process. Some of the checks that are implemented are
discussed below.
5.7.1	Check Record Counts
A S/L/T data set usually consists of a mixture of S/L/T submitted data and nationally
derived emission estimates, these records are flagged separately in the compiled NEI data files and
compared to the individual state files. If the number of records in NEI associated with a state do not
match the number of records in the individual state file, then a revised state file is created and the
record numbers are again checked to insure that all of the data have been correctly transferred.
5.7.2	Insure That All States are Included
Once all of the state files have been created, then the states are checked to insure that there is
a state file for all 50 states, the District of Columbia, Puerto Rico, and the Virgin Islands. If a state
file is missing, a new state file must be obtained from the NEI.
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6.0 INFORMATION QUALITY GUIDELINES
6.1 Overview
The U.S. Environmental Protection Agency (EPA) developed its Information Quality
Guidelines (IQG) in response to guidelines issued by the Office of Management and Budget (OMB)
under Section 515(a) of the Treasury and General Government Appropriations Act for Fiscal Year
2001 (P.L. 106-554; H.R. 5658). The Guidelines for Ensuring and Maximizing the Quality,
Objectivity, Utility, and Integrity of Information Disseminated by the Environmental Protection
Agency (the Guidelines) embody the following performance goals:
•	Disseminated information should adhere to a basic standard of quality, including
objectivity, utility, and integrity;
•	Principles of information quality should be integrated into each step of EPA's
development of information, including creation, collection, maintenance, and
dissemination;
•	Administrative mechanisms for correction should be flexible, appropriate to the
nature of and timeliness of the disseminated information and incorporated into
EPA's processes.
These guidelines apply to "information" that EPA "disseminates" to the public. Such
information includes any communication or representation of knowledge such as facts or data, in
any medium or form, including web sites, FTP sites, brochures, data flat files, scientific studies etc.
However, the guidelines DO NOT apply to all products distributed by EPA. EPA must sponsor or
initiate the distribution of the information and EPA must adopt or endorse this information as
defined below:
•	"EPA initiates a distribution of information if EPA prepares the information and
distributes it to support or represent EPA's viewpoint, or to formulate or support a
regulation, guidance or the agency decision or position."
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•	"EPA initiates a distribution of information or EPA distributes information prepared
or submitted by an outside party in a manner that reasonably suggests that EPA
endorses or agrees with it; if EPA indicates in its distribution that the information
supports or represents EPA's viewpoint; or if EPA in its distribution proposes to use
or uses the information to formulate or support a regulation, guidance, policy, or
other Agency decision or position."
•	"Agency-sponsored distribution includes instances when EPA reviews and
comments on information distributed by an outside party in a manner that indicates
EPA is endorsing it, directs the outside party to disseminate it on EPA's behalf, or
otherwise adopts or endorses it."
Information that is not meant for public distribution is not subject to the guidelines. This
includes responses to FOIA requests and information intended for government contractors. Products
considered "ephemeral" in nature (e.g., press releases, press conferences etc.) are also not subject to
the guidelines.
See Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity
of Information Disseminated by the Environmental Protection Agency for more details.
(http://www.epa.gOv/oei/qualitvguidelines/y
6.2 Purpose of the National Emission Inventory
The Clean Air Act (CAA), as amended in 1990, includes mandates for the EPA related to
criteria and hazardous air pollutants. The CAA requires the EPA to identify emission sources of
these pollutants, quantify emissions, develop regulations for the identified source categories, and
assess the public health and environmental impacts after the regulations are put into effect. The
NEI is a comprehensive inventory covering all criteria pollutants and HAPs for all areas of the
United States and as such it is a tool that EPA can use to meet the CAA mandates. It is envisioned
that the NEI will be used to support air quality modeling and other activities. To this end, the EPA
established a goal to compile comprehensive emissions data in the NEI for criteria and HAPs for
mobile, point, and nonpoint sources.
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6.3 Potential Uses
It is anticipated that the emission inventory developed from this effort will have multiple
end uses. The data have been formatted according to protocols established for the EPA's NEI
submittals. The common data structure on which the NEI platform is based will allow the NEI
emission data to be transferred to multiple end-users for a variety of purposes.
The criteria and HAP emission estimates developed for the NEI will be incorporated into the
annual EPA publication entitled National Emissions Trends Report, which is used to evaluate air
pollution trends over time. The NEI is also a critical component of the EPA's national Air Toxics
Program (as described in EPA's July 19, 1999 Federal Register notice, 64 FR 38706). The initial
objective is to make the data available for air quality modeling use in the National Air Toxics
Assessment (NATA). The historical emissions data can also be used in support of the Government
Performance Results Act (GRPA) assessments to quantify changes in emissions associated with
implementation of government regulations and policies. S/L/T agencies can also use the NEI data
as a starting point to develop or enhance local HAP emission inventories for use in risk
assessments.
Based on the intended purpose and potential applications of the inventory data, it is
necessary for the NEI to comply with the requirements of the IQG.
6.4 Pre-dissemination Checklist
The Pre-dissemination checklist summarizes the important aspects of the IQG and provides
a list of specific actions essential to satisfying the requirements of the guidelines. This section
presents each action in turn and discusses how it relates to the NEI.
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6.4.1 EPA Information Quality Guidelines
The IQG generally reinforces existing EPA quality procedures. Specifically, it asks these
questions of the information generator:
•	Is the product subject to EPA peer review policy? This policy covers "major"
products as defined in the Science Policy Council Peer Review Handbook.
•	Does this product use environmental data? If so, the information product must have
a Quality Assurance Plan (QAP).
•	Did this product conduct an assessment of existing data when used to support agency
decisions or other secondary purposes? Is this data of sufficient quality and quantity
to meet the objectives of the product?
•	Does this product fall under the guidelines of the EPA Risk Characterization Policy
Handbook?
Only two of the items listed above apply to the NEI - the NEI must have a QAP and must
determine whether the data assessed is of sufficient quality to meet NEI's objectives. These items
are addressed below.
6.4.2 Product Content - Inputs, Methodologies, and Outputs
The mobile source emissions estimates discussed in this document are developed in two
ways: 1) emissions are estimated at the national level and allocated to counties based on appropriate
surrogates, or 2) the nationally-derived data can be replaced with data submitted by S/L/T agencies.
Before incorporating either data into the NEI, a rigorous process of data review and standardization
is implemented (see chapter 5).
The procedures used to estimate emissions from aircraft, CMVs, locomotives, and other
non-road engines and equipment are described in detail in chapter 2 of this document and
appendices A to D. The data used for the national mobile source emission estimates have been
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checked as described in the quality assurance procedures chapter. In the process of developing the
national mobile emission estimates for NEI, the EPA routinely assesses data gaps and completeness.
Intra-year comparison of the national data are performed to insure that emission estimates are
historically consistent. OTAQ staff are involved in the final review of the national emissions data
to insure that the procedures developed and used represent state-of-the-art knowledge and are
consistent with emission estimates developed for associated regulatory programs.
All new S/L/T data sets are logged, checked for database integrity, assessed whether valid
codes are used, and checked to identify duplicate. These data sets must conform to current NIF
format. Each new data set is compared to the data in the national inventory to evaluate the
reasonableness of the S/L/T submitted data and identify outlier or aberrant data. If gaps are
detected, the S/L/T submittal is treated as a partial replacement set and the nationally-derived
emission estimates are used to fill the data gaps. If there are concerns with the data provided or the
format, then the S/L/T representative is contacted. If there are issues concerning the data provided,
these are noted in the comment field of the State Database Summary Report tracking forms. The
associated resolution is are also documented. These forms are included in Appendix E.
6.4.3 Transparency of Data Development Process
The IQG specifies that if a product is deemed influential, the author must demonstrate that
the product is capable of being reproduced by a qualified third party according to commonly
accepted scientific and technical standards.
The IQG uses the following definition of influential:
•	Information disseminated in support of top agency actions (i.e., rules, substantive
notices, policy documents, studies and guidance).
•	Information distributed in support of economically significant actions (>$100 million
impact annual or will adversely affect the economy in a material way).
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"Major" work products undergoing peer review according to EPA's Peer Review
Policy (see Science Policy Peer Review Handbook).
Case-by-case. The agency may determine that a product is influential if it deems that
the product may have a clear and substantial impact on important policies or private
sector decisions.
The NEI will be subject to peer review and as such will meet the definition of an
"influential" product. The 1999 NEI will not be peer reviewed. However, it has gone through
extensive rounds of public and agency review, comment, and revision.
The nonroad mobile source component of NEI has been developed to be transparent to and
reproducible by a qualified third party user:
•	Documentation that summarizes the procedures used, including all emission factors,
speciation profiles, and other input data necessary to implement the recommended
procedures are provided;
•	Intermediate work products are provided that are essential to estimate or spatially
allocate mobile source emissions, such as GIS data sets used to spatially allocate
emissions and input file for MOBILE6.2;
•	Logging and archiving of all original data submittals by S/L/T agencies with
indication as to date of submittal, type of revision, and source;
•	Incorporation of data elements in the output files that allow the user to determine the
source of the record (EPA, or S/L/T agency) and the nature of a revised record (i.e.,
addition since last version, revision to last version, or original record) as well as the
origin of defaulted data.
S/L/T agencies are encouraged to submit nonroad mobile source emission estimates based
on local knowledge of sources and activity. To insure that each S/L/T agency's estimates are
comparable, this document has been developed to be sufficiently transparent to allow S/L/T
agencies to apply the methods used here in their own inventories.
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In order to reproduce the emission estimates, detailed background data are required
including input files, emission factors, speciation profiles, activity data and spatial allocation
factors. All e-mails and or summaries of phone conversations relevant to this work effort are
archived in individual working files. Much of this information is not required to estimate
emissions, therefore these files are reviewed once the inventory has been finalized and relevant, but
hard-to-locate data and project notes are identified and provided in Volume 2 of this report as
scanned documents in their original format. Intermediate work products that are necessary to
reproduce the emission calculation or spatial allocation approach are also provided at the EPA's air
toxic website.
6.4.4 Data Ranking of the Emission Estimates
To provide users of the inventory with a measure of the overall quality of the emission
estimate, a simplified rating scheme has been proposed for mobile sources that can be assigned to
each estimate (on a scale of 1-6). This enhances the transparency of the data and also satisfies the
requirement that EPA do an assessment of the data. This rating scheme will not be in-depth as
other systems such as DARS (Data Attribute Rating System), but will consider the following factors
in assigning a score:
Score Description
6 The emission estimates have been developed using local data in conjunction with the
NEI emission estimating procedures.
5 Local emission estimates have been developed using emission estimating procedures
not included in the NEI.
4 National emission estimates have been developed based on equipment specific
emission factors or speciation profiles and spatially allocated to individual counties
using an appropriate surrogate.
3 National emission estimates have been developed based on aggregated emission
factors for a given engine type or configuration (e.g., 2-stroke, 4-stroke, diesel,
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marine diesel, steamship) and spatially allocated to individual counties using an
appropriate surrogate.
2 National emission estimates have been developed based on aggregated emission
factors for a source category without taking into consideration fuel type or engine
configuration.
1 Emission estimates for an early inventory year were used.
Such a scoring system will help when comparing S/L/T submitted data with nationally
derived emission estimates and will also help evaluate which source categories need improvement.
Currently, the proposed rating scheme is being discussed and has not been implemented in this
version of the inventory.
6.4.5 Product Limitations and Caveats
As with the development of any emissions inventory, the accuracy of the final estimates
varies considerably. Given the methods used to calculate the estimates, the most important factor
influencing the quality of the estimate is the validity of the emission factors and speciation profiles
used, both in terms of absolute accuracy, as well as representativeness for each source type. For
criteria pollutants, this is less of an issue as the emission factors are derived from extensive study
and testing. For example, the criteria estimates for CMV and rail sources are derived from
extensive studies that support recent regulatory efforts. Criteria pollutant estimates for aircraft are
also based on extensive emission testing incorporated into the FAA's EDMS model.
The situation for HAPs is very different because few HAP emission factors or speciation
profiles have been developed for these sources. The majority of available HAP emission factors
and speciation data were either old and/or very limited in terms of coverage. This lack of data may
be because HAPs from these sources have not always been viewed as significant. Therefore, little
testing has been performed, such that a very limited number of data points were available to
characterize an entire engine type, without the benefit of knowing what the actual variability may
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be. In this version of the NEI, a number of significant revisions have been made to incorporate
recent data and improve the accuracy of the inventory. Where there were no test data for a specific
engine type, surrogate data from a related source had to be used to estimate emissions. While not
optimal, this approach was necessary in order to provide as complete an inventory of emission
sources as possible.
The activity data can also affect the quality of emissions estimates, but activity data are
usually easier to obtain and often have more credibility. Local activity data is often more accurate
than nationally-derived activity, which is why S/L/T agencies are encouraged to develop their own
criteria and HAP inventories for these sources.
When interpreting the emission estimates in this study at the local or state level, it is
important to appreciate that the estimates use a "top-down" approach, such that national emissions
are allocated to individual counties using appropriate surrogates. This approach may underestimate
emissions in some counties and may overestimate emissions in other counties depending upon the
specific types of equipment used. The county-level estimates are considered only a rough
approximation of actual emissions. S/L/T data are considered to be more accurate for the counties
they represent than the dis-aggregated national estimates. Unfortunately, few S/L/T agencies have
developed aircraft, CMV, locomotive and other nonroad emission inventories. The EPA strongly
recommends that S/L/T agencies undertake data collection to provide more accurate emission
estimates.
As with most inventory efforts, improvements in methods and data can often be made in
order to improve the accuracy of the emission estimates or enhance the usefulness of the data. For
this version of NEI, the following areas of improvement have been identified and EPA staff will be
working on these improvements as resources permit.
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Aircraft
•	Encourage S/L/T agencies to develop airport specific emission estimates using the
new FAA EDMS emission estimating tool in conjunction with local aircraft specific
activity data.
•	Develop better methodologies that rely on available activity data for the diverse
aircraft included in the military aircraft category.
•	As new and more representative HAP profiles become available, these data should
be incorporated into NEI, specifically, methodologies should be developed to
estimate mercury and arsenic emissions from aircrafts.
Commercial Marine Vessels
•	Encourage S/L/Ts to develop emission estimates for their ports based on the latest
emission factors used in regulatory rule making.
•	It is recognized that there are some inconsistencies with the BTS GIS data for other
inventory years, therefore, the 1999 weight factors were used in all other inventory
years until BTS has revised their GIS data files.
•	Port emissions were assigned to the top 150 ports based on cargo handling. A more
complete list of ports along with appropriate traffic data would improve the quality
of the port-level emission estimates.
•	As new and more representative HAP profiles become available, these data should
be incorporated into NEI, specifically, methodologies should be developed to
estimate mercury and arsenic emissions from CMVs.
Locomotive
Inventories of yard locomotives have not been updated in many years. S/L/Ts should
inventory these locomotives and provide criteria and HAP emission estimates based
on emission factors developed in recent locomotive rulemaking.
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•	It is recognized that there are some inconsistencies with the BTS GIS data for other
inventory years, therefore, the 1999 weight factors were used in all other inventory
years until BTS has revised their GIS data files.
•	S/L/T agencies can play an important role in developing inventories of railroad
activity that occurs in their geographic areas, especially with regard to the smaller
Class n/m and commuter railroad operations. In developing these railroad
inventories it is recommended that emission factors developed in support of recent
rulemaking activities be used in these local locomotives emission inventories.
•	As new and more representative HAP profiles become available, these data should
be incorporated into NEI, specifically, methodologies should be developed to
estimate mercury and arsenic emissions from locomotives.
Nonroad
•	National level emissions in NONROAD are allocated to the county level using
surrogates, such as construction costs (to allocate emissions of construction
equipment) and the number of employees in relevant manufacturing sectors (to
allocate industrial equipment). Use of more specific local data on equipment
populations and usage will result in more accurate inventory estimates. EPA
strongly recommends that S/L/Ts undertake data collection to provide local data as is
routinely done for highway motor vehicle activity and population.
•	New emission factors need to be developed to characterize mercury and arsenic
emissions.
•	Naphthalene from evaporative sources should be dis-aggregated from the exhaust
naphthalene.
It is important that S/L/T agencies provide accurate and complete data, the EPA intends to
use the mobile data as submitted. The submitted data will not be manipulated to fill data gaps.
6.4.6 Contact Information
In order for NEI users to obtain more information about the nonroad mobile source
component of the inventory and obtain answers for their questions, they should contact:
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Laurel Driver
Emission Factor and Inventory Group (D205-01)
Emissions, Monitoring and Analysis Division
U.S. Environmental Protection Agency
Research Triangle Park, NC 27711
6.4.7 EPA Disclaimer
When EPA posts or distributes third party documents or data, but is not endorsing that
information nor using it to represent EPA's viewpoint, then a disclaimer must be posted along with
the primary documents or data. Because NEI includes S/L/T data not developed by the EPA, the
following disclaimer is required:
"EPA is posting S/L/T data on the FTP site for the purpose of making them more readily accessible
to the public. These submissions are posted verbatim without editing them in any way. The public
should be aware that the information contained in these submissions was not developed by EPA
and EPA cannot attest to their accuracy or sufficiency. Therefore, posting of a submission on this
website does not mean that it expresses EPA 's viewpoint or that EPA endorses the submission or
information contained in it.
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Appendix A
Aircraft Emission Estimation Methodology

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Aircraft Emission Estimating Methods
This appendix documents the methods used to estimate aircraft emissions for commercial
aircraft, air taxis, general aviation (GA) and military aircraft. Criteria emission estimates for
commercial aircraft were developed using the FAA's Emissions and Dispersion Modeling System
(EDMS), while air taxis, GA, and military aircraft criteria emissions were estimating using generic
factors from EPA's SIP Guidance. These criteria emission estimates were speciated into HAP
components using speciation profiles developed from the latest aircraft test data or obtain from the
SPECIATE database and other published sources. The HAP speciation profiles for commercial air
carriers noted in this section of the documentation was updated based on new aircraft speciation
profiles and were used in the 2002 Inventory. The speciation profiles used in all other inventory
years are included in Volume II - Aircraft - 2001 Aircraft References.
For the 2002 Inventory EDMS was run for each airport individual with these emission
estimates begin attributed to the airports latitude and longitude coordinates. For all other inventory
years, criteria and HAP emissions were allocated to individual airports based on airport-specific
LTO data provided by the FAA in the Terminal Area Forecast System (U.S. Department of
Transportation, 2001c). The allocations were made by aircraft type (i.e., commercial air carriers, air
taxis, general aviation and military aircraft), such that emissions from large air carriers were
assigned to airports with air carrier traffic and emissions from GA were allocated to airports that
had documented GA activity.
Commercial Aircraft
To estimate emissions for commercial aircraft for all inventories not including the 2002
inventory, LTO data from Table 7 of Airport Activity Statistics of Certificated Route Air Carriers
(DOT, 2001) was obtained from the FAA. This report is no longer published, so data were received
electronically based on a formal request to the FAA. For the 2002 Inventory, activity data were
downloaded directly from the FAA's website. These LTO data only include domestic air carriers.
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The EPA provided LTO data for foreign flagged air carriers. These LTO data were combined and
entered into the FAA Emissions and Dispersion Modeling System (EDMS), Version 4.0 (DOT,
2001a), which was designed to calculate aircraft-specific emissions.
All time in mode (TIM) default values in EDMS were used in this inventory effort. EDMS
did not have default TIM values for the period of time that aircraft are taxiing or idling. In this
inventory a TIM value of 26 minutes was used for taxiing and idling; this value was the default
recommended in other EPA guidance (EPA, 1992). EDMS generated emissions for HC, NOx, CO
and SOx for aircraft included in the EDMS software. The national level criteria pollutant emission
estimates generated from EDMS are shown below:
Table A-l. 1999 Criteria Pollutant: Matched Commercial Aircraft
Pollutant
Emissions (tons/yr)
Average Emission
Factor (tons/LTO)
HC
20,015.34
0.002680
NOx
75,945.09
0.009288
CO
91,513.39
0.011192
SOv
7,285.96
0.000891
PM estimates for commercial aircraft for 2002 were developed using the emission factors
summarized in Table A-2. These emission factors are per engine, in order to adjust these factors for
the number of engines on a specific aircraft. The aircraft characterize data were extracted from the
EDMS model.
Note that all commercial aircraft included in the 2002 FAA airport activity data could be
matched to aircraft included in EDMS. On the other hand, emissions for 96 % of total LTOs for
commercial air carriers could be matched in the 1999 Inventory. To compensate for the aircraft not
included in the EDMS for the 1999, 1996, 1990, 1987, and 1978, average emission factors for a
single LTO were developed (see Table A-l) and applied to unmatched LTOs. The equation below
shows how these emissions were calculated.
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Average Emission Factors (tons/LTO) x unmatched LTOs = Emissions from unmatched aircraft
Example: 0.00268 tons of HC/LTO * 312,427 (Unmatched LTOs) = Unmatched HC emissions
Matched LTOs
The emission estimates for matched and unmatched aircraft were combined to estimate total
commercial aircraft emissions.
Note, for 2002 there was no need to gap fill for unmatched aircraft and therefore the above
procedure was not needed for the 2002 estimates.
PM emissions were calculated differently that the other criteria pollutants. PM 10 emissions
were based off of emission factors in lbs per hour for each of the four modes of operations. Based
on the recommendation by OTAQ, the emission factors per mode of operations were obtained by
averaging together the old AP-42 emission factors. Then by multiplying the emission factors by the
average time aircraft are in each mode of operation and then summing the emission factors by LTO
per engine were created (Table A-2). According to CARB, PM2.5 = 97.6% of PM10, which
allowed for the creation of PM2.5 emission factors.
Table A-2. Commercial Aircraft PM Emission Factors

EF
EF
EF
Time
Mode
for PM10
for PM2.5
Units
(min)
Idle
6.140E-01
5.993E-01
lbs/hour
26
Takeoff
4.958E+00
4.839E+00
lbs/hour
0.7
Climb
3.548E+00
3.463E+00
lbs/hour
2.2
Approach
1.268E+00
1.238E+00
lbs/hour
4
Total
2.693E-04
2.628E-04
ton/LTO/engine
—
The HC estimate was speciated for individual HAPs using speciation profiles developed
from recent test data (See Table A-3 ) (Billings, 2004) in the following equation. Note some of the
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recent test data is disaggregated by jet engine type (i.e., turbo fan and turbo props), engine type data
for individual engines were obtained from the International Civil Aviation Organization Engine
Emission Data Bank.
HCcommercml * Speciation Profile= HAP Emissionscommercmll
Where:	HCcommercial = Commercial aircraft HC estimate (tpy) for
individual aircraft
i = Pollutant
Speciation Profile; = HC speciation fraction for pollutant i (Table A-2)
Emissionscommercial; = Emission estimate for pollutant i (tpy)
Example: 1,478 tons of HC * 0.00203 styrene fraction for turbo fan = 3.00E-3 Tons of Styrene
Table A-3. Previous HAP/VOC Speciation Profiles for Commercial Aircraft
Pollutant
VOC Speciation profile
2,2,4 -T rimethy lpentane
0.0005
Acetaldehyde
0.0519
Acrolein
0.0253
Naphthalene (gas-phase)
0.0057
Styrene
0.0044
Table A-4. 2002 Commercial Aircraft HAP Speciation Profile for THC
Pollutant
Turbo Fan
Turbo Prop
Combined
1,3-Butadiene
1.44E-02
1.43E-02

2,2,4-Trimethylpentane


5.47E-04
Acetaldehyde
4.77E-03
2.33E-03

Acrolein
2.65E-03
4.01E-05

Anthracene


4.43E-07
B enz [a] Anthracene
4.84E-07
4.91E-07

Benzene
1.64E-02
1.86E-03

Benzo[a]Pyrene
3.59E-07
3.65E-07

Benzo [b]Fluoranthene
7.06E-07
7.05E-07

Benzo[g,h,i,]Perylene


6.44E-09
Benzo [k]Fluoranthene
7.06E-07
7.05E-07

Chrysene
4.90E-07
4.93E-07

Dibenzo [a,h] anthracene
9.52E-07
9.50E-07

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Pollutant
Turbo Fan
Turbo Prop
Combined
Ethyl Benzene
1.36E-03
3.04E-04

Fluoranthene


9.30E-07
Formaldehyde
9.61E-02
1.48E-02

Indeno [ 1,2,3 -c,d]Pyrene
7.65E-07
7.64E-07

Naphthalene (Gas)
2.27E-03
4.27E-04

Naphthalene


4.70E-04
Phenanthrene


4.15E-06
Phenol
2.03E-03
2.04E-04

Propionaldehyde


1.16E-02
Pyrene


1.13E-06
Styrene
2.03E-03
3.69E-04

Toluene
6.73E-03
1.02E-03

Xylenes (Mixture of o. m. & d Isomers')
3.85E-03
7.18E-04

Air Taxis
For air taxis, activity data were taken from the FAA Air Traffic and Activity Data System
(DOT, 2001b). In this reference, each activity (i.e., a landing or take-off) is counted. For every
LTO, there are two activities ("landing" and "take-off); therefore, the FAA activity data were
divided by two to estimate LTOs.
Example:	10,650,000 FAA aircraft operations/2 = 5,325,000 LTOs
For all years, the aircraft-specific data used for commercial air carriers were reviewed to
identify any smaller aircraft that would be considered air taxis. Emission estimates for these aircraft
were retained in the commercial air carriers calculations, but their LTOs were subtracted from the
FAA's air taxi LTO estimates to ensure that these aircraft activities were not double counted.
The adjusted LTO data were applied to the SIP emission factors (see Table A-5) using the
following equations.
Adjusted air taxi LTOs * criteria emission factor = Air taxi criteria emission estimate
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Example: 5,325,000 LTOs * 1.234 pounds HC/LTO * 1 ton/2,000 pounds = 3,285.53 tons of
HC
The criteria emission factors for HC, NOx, CO, and SOx for air taxis were obtained from the
EPA's Procedures for Emission Inventory Preparation, Volume IV: Mobile Sources (EPA, 1992).
PM emission factors for air taxis were obtained from EPA's National Air Pollution Emission
Trends, Procedures Document for 1900-1996 (EPA, 1997). PM25 emissions were derived by
assuming 69% of PM10 is PM2 5, as noted in the 1998 NET (National Air Pollution Emission Trends
Procedures document for 1900-1998 (EPA, 2000)).
Table A-5. Criteria Pollutant Emission Factors for Air Taxis for All Years
Pollutant
Emission Factor (lbs/LTO)
HC
1.234
X
O
£
0.158
CO
28.13
sox
0.015
PM10
0.60333
For the 2002 Emission Inventory HAP emissions were estimated using the speciation
profiles noted in Table A-6.
A conversion factor from Procedures for Emission Inventory Preparation, Volume IV:
Mobile Sources (EPA, 1992) was applied to the air taxi HC emission estimate to obtain a VOC
estimate.
Air taxi HC emissions * VOC/HC conversion factor = air taxi VOC estimate
Example: 3,285.53 tons of HC * 0.9914 VOC/HC = 3,257.27 tons of VOC
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Table A-6. Air Taxi Speciation Profiles
Pollutant
Turbine
Piston
Speciation Type
1,3-Butadiene
0.019192387
0.01198001
HC
2,2,4-Trimethylpentane
0.00043788
0.00043788
HC
Acenaphthene
0
0.00073
PM10
Acenaphthylene
0
0.00412
PM10
Acetaldehyde
0.05280984
0.00757919
HC
Acrolein
0.02518247
0.00073347
HC
Anthracene
4.41164E-07
0.00085
PM10
Benz[a]Anthracene
6.67767E-08
0.0001
PM10
Benzene
0.021881855
0.049509225
HC
Benzo[a]Pyrene
3.6563E-08
0.0001
PM10
Benzo [b] Fluoranthene
0
0.00012
PM10
Benzo [g,h,i,] Perylene
6.06464E-09
0.00026
PM10
Benzo [k] Fluoranthene
0
0.00012
PM10
Chrysene
6.2179E-08
0.0001
PM10
Ethyl Benzene
0.001833675
0.017970015
HC
Fluoranthene
9.22832E-07
0.00091
PM10
Fluorene
0
0.00151
PM10
Formaldehyde
0.17285443
0.032883905
HC
Hexane
0
0.00855715
HC
Indeno [ 1,2,3 -c,d]Pyrene
0
0.00008
PM10
Naphthalene
0.000470721
0.0907
PM10
Naphthalene (Gas)
0.00558297
0.00558297
HC
Phenanthrene
4.10513E-06
0.00254
PM10
Propionaldehyde
0.01100205
0.00073347
HC
Pyrene
1.12754E-06
0.00124
PM10
Styrene
0.004523065
0.00415633
HC
Toluene
0.005990005
0.1271348
HC
Xylenes (Mixture of o. m. & d Isomers)
0.00537878
0.07163557
HC
For previous years, to estimate 1,3-butadiene, acetaldehyde, acrolein, benzene,
formaldehyde, ethylbenzene, n-hexane, propionaldehyde, styrene, toluene, and xylene for air taxis,
it was necessary to convert VOC to TOG as the speciation profiles are provided in terms of TOG.
For all years, OTAQ provided separate conversion factors for air taxis powered by piston and
turbine engines (Cook, 1997). Therefore, the VOC estimate needed to be disaggregated into turbine
and piston powered air taxis as noted in the following equations based on the assumption that
73 percent of air taxi fleet are powered by piston engines and 27 percent of the fleet are powered by
turbine engines (Cook, 1997).
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VOC estimate for Turbine Engine Air Taxis:
Air taxi VOC estimate * turbine poweredfleet fraction = turbine powered VOC estimate
Example: 3,257.27 tons of VOC * 0.27 = 879,4629 tons VOC
VOC estimate for Piston Engine Air Taxis:
Air taxi VOC estimate * piston engine fleet fraction = Piston powered VOC estimate
Example: 3,257.27 tons of VOC * 0.73 = 2,377.81 tons VOC
VOC estimates were converted into TOG estimates using the following equations.
TOG estimate for Turbine Engine Air Taxis:
Turbine VOC estimate * TOG/VOC conversion factor = TOG emission estimate
Example: 879,4629 tons of VOC * 1.1347 TOG/VOC = 997.93 tons TOG
TOG estimate for Piston Engine Air Taxis:
Piston VOC estimate * TOG/VOC conversion factor = TOG emission estimate
Example: 2,377.81 tons of VOC * 1.0738 TOG/VOC = 2,553.29 tons TOG
For previous years, these TOG values were applied to the speciation profiles included in
Table A-7 and A-8. The 1,3-butadiene, acetaldehyde, acrolein, benzene, formaldehyde, and styrene
fractions of TOG for turbine and piston air taxis were provided by OTAQ (Cook, 1997). The
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TOC/PMSpeciation Data System (EPA, 1995) was used to provide toxic fractions for ethylbenzene,
naphthalene (gas-phase), propionaldehyde, styrene, toluene, and xylene. Profiles 1099 and 1313
were used for air taxis with turbine engines and air taxis with piston engines, respectively. These
toxics fractions were applied to the above TOG values using the following equation.
TOG x * Speciation Profilexi = HAP Emission Estimatexi
Where:
Speciation Profilex
Emission Estimate,
x = Engine type (Turbine/Piston)
i = Pollutant
= TOG speciation fraction for engine type x and
pollutant i (Tables A-7 and A-8)
= Emission estimate for engine type x and pollutant i
Example: 997.93 tons of TOG * 0.0157 1,3-butadiene fraction = 15,6674 tons of 1,3-butadiene
Table A-7. Previous HAP/TOG Speciation Profiles for Air Taxis with Turbine Engines
Pollutant
TOG Speciation profile
1,3-Butadiene
0.0157
Acetaldehyde
0.0432
Acrolein
0.0206
Benzene
0.0179
Ethylbenzene
0.0015
Formaldehyde
0.1414
Propionaldehyde
0.0090
Styrene
0.0037
Toluene
0.0049
Xvlene
0.0044
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Table A-8. Previous HAP/TOG Speciation Profiles for Air Taxis with Piston Engines
Pollutant
TOG Speciation profile
1,3-Butadiene
0.0098
Acetaldehyde
0.0062
Acrolein
0.0006
Benzene
0.0405
Ethylbenzene
0.0147
Formaldehyde
0.0269
n-hexane
0.0070
Propionaldehyde
0.0006
Styrene
0.0034
Toluene
0.1040
Xvlene
0.0586
The previous emission estimates for PAH compounds were developed for individual species
(Cook, 2001). For PAHs, the VOC estimate was speciated for turbine engines, while the PM10
estimate was speciated for piston engines (Cook, 2001). The PAH emissions were estimated for
turbine powered aircraft based on the following equations, note that the derivation from the VOC
estimate for turbine powered air taxis is shown below. Table A-9 has the PAH speciation profiles.
PAH equation for Turbine Powered Aircraft:
VOCTurbine* Speciation ProfileTurbme, = HAP Emission EstimateTurbine
Where:
1
VOCT
-'Turbine
Speciation ProfileXurbinei
Emission EstimateT
"Turbine i
= PAH species
= VOC estimate for turbine powered aircraft (TPY)
= VOC speciation profile for species i (Table A-9)
= Turbine emission estimate for PAH species i (TPY)
Example: Pyrene estimate for Turbine Aircraft
Pyrene emissions = 879,4629 tons of VOC * 1.03 E-06 pyrene fraction = 9.06E-04 tons of
pyrene
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Table A-9. Previous PAH/VOC Speciation Profiles for Air Taxis with Turbine Engines
Pollutant
VOC Speciation profile
Benzo(a)anthracene
6.10 E-08
Benzo(a)pyrene
3.34 E-08
Chrysene
5.68 E-08
Anthracene
4.03 E-07
Benzo(ghi)perylene
5.54E-09
Fluoranthene
8.43E-07
Naphthalene (solid-phase)
4.30E-04
Phenanthrene
3.75E-06
Pyrene
1.03E-06
PAH Equation for Piston Powered Aircraft:
For all years, the PM10 emission estimate for piston engine air taxis was calculated using the
following equation which is based on the assumption that 73 percent of the air taxi fleet is powered
by piston engine aircraft.
Air taxi PM10 estimate * piston engine fleet fraction = PM10 emission from piston air taxis
Example: 1,606.37 tons of PM10 * 0.73 = 1,172.65 tons PM10
The PAH emissions were estimated for piston powered air taxis based on the following
equations.
PMio Plston * speciation profilePlstoni = emission estimate Plstoni
Where:
i	= PAH species
PM10Piston	= PM10 estimate for piston powered aircraft (TPY)
Speciation profileHstoni	= PM10 speciation profile for species i (Table A-10)
Emission estimateHstoni	= Piston emission estimate of PAH species i (TPY)
Example: Pyrene estimate for Piston Aircraft
Pyrene emissions = 1,172.6 tons of PM10Piston * 1.24 E-3 Pyrene Fraction = 1.45 Tons of Pyrene
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Table A-10. Previous PAH/PM Speciation Profile for Air Taxis with Piston Engines
Pollutant
PM Speciation profile
Benzo(a)anthracene
1.00E-04
Benzo(a)pyrene
1.00E-04
Benzo(b)fluoranthene
1.20E-04
Benzo(k)fluoranthene
1.20E-04
Chrysene
1.00E-04
Indeno( 1,2,3 -cd)pyrene
8.00E-05
Acenaphthene
7.30E-04
Acenaphthylene
4.12E-03
Anthracene
8.50E-04
Benzo(ghi)perylene
2.60E-04
Fluoranthene
9.10E-04
Fluorene
1.51E-03
Naphthalene (solid phase)
9.07E-02
Phenanthrene
2.54E-03
Pvrene
1.24E-03
Since there were no speciation profiles for turbine engines for benzo(b)fluoranthene,
benzo(k)fluoranthene, dibenz(a,h,)anthracene, indeno(l,2,3-cd)pyrene, acenaphthene,
acenaphthylene and fluorene, speciation profiles were developed only for piston engines for these
pollutants.
General Aviation
For GA, activity data were taken from the FAA Air Traffic and Activity Data System (DOT,
2001b). In this reference, each activity unit (i.e., a landing or take-off) is counted. For every LTO
there are two activities ("landing" and "take-off); therefore, the FAA activity data were divided by
two to estimate LTOs.
Example: 21,065,511 FAA aircraft operations / 2 = 10,532,755.5 LTOs
To estimate GA emissions, these LTO data were applied to generic critiera GA emission factors
(see Table A-l 1) using the following equations.
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Example:
GA LTOs * criteria emission factor = criteria emission estimate
Example: 10,532,755 LTOs * 0.394 pounds HC/LTO * 1 ton/2,000 pounds = 2,074.95 tons of
HC
The criteria emission factors for HC, NOx, CO, and SOx for GA were obtained from the
EPA's Procedures for Emission Inventory Preparation, Volume IV: Mobile Sources (EPA, 1992).
PM emission factors for GA were obtained from EPA's National Air Pollution Emission Trends,
Procedures Document for 1900-1996 (EPA, 1997). PM25 emissions were derived by assuming
69% of PM10 is PM2 5, as noted in the 1998 NET.
Table A-ll. Pollutant Specific Emission Factors for General Aviation for All Years
Pollutant
Emission Factor (lbs/LTO)
HC
0.394
NOx
0.065
CO
12.014
SOx
0.01
PM10
0.2367
For the 2002 Emission Inventory HAP emissions were estimated using the speciation
profiles noted in Table A-12.
A VOC/HC conversion factor from Procedures for Emission Inventory Preparation, Volume
IV: Mobile Sources (EPA, 1992) was applied to the GA HC emission estimate to obtain a VOC
estimate.
GA HC emissions * VOC/HC conversion factor = GA VOC estimate
Example: 2,074.95 tons of HC * 0.9708 VOC/HC = 2,014.36 tons of VOC
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Table A-12. 2002 General Aviation Speciation Profiles
Pollutant
Turbine
Piston
Speciation Type
1,3-Butadiene
0.019291483
0.01198001
HC
2,2,4-Trimethylpentane
0.00043788
0.00043788
HC
Acenaphthene
0
0.00073
PM10
Acenaphthylene
0
0.00412
PM10
Acetaldehyde
0.05280984
0.00757919
HC
Acrolein
0.02518247
0.00073347
HC
Anthracene
4.41164E-07
0.00085
PM10
Benz[a]Anthracene
6.67767E-08
0.0001
PM10
Benzene
0.021881855
0.049509225
HC
Benzo[a]Pyrene
3.6563E-08
0.0001
PM10
Benzo [b] Fluoranthene
0
0.00012
PM10
Benzo [g,h,i,] Perylene
6.06464E-09
0.00026
PM10
Benzo [k] Fluoranthene
0
0.00012
PM10
Chrysene
6.2179E-08
0.0001
PM10
Ethyl Benzene
0.001833675
0.017970015
HC
Fluoranthene
9.22832E-07
0.00091
PM10
Fluorene
0
0.00151
PM10
Formaldehyde
0.17285443
0.032883905
HC
Hexane
0
0.00855715
HC
Indeno [ 1,2,3 -c,d]Pyrene
0
0.00008
PM10
Naphthalene
0.000470721
0.0907
PM10
Naphthalene (Gas)
0.00558297
0.00558297
HC
Phenanthrene
4.10513E-06
0.00254
PM10
Propionaldehyde
0.01100205
0.00073347
HC
Pyrene
1.12754E-06
0.00124
PM10
Styrene
0.004523065
0.00415633
HC
Toluene
0.005990005
0.1271348
HC
Xylenes (Mixture of o, m, & p Isomers)
0.00537878
0.07163557
HC
For previous years, to estimate 1,3-butadiene, acetaldehyde, acrolein, benzene,
formaldehyde, ethylbenzene, n-hexane, propionaldehyde, styrene, toluene, and xylene for GA, it
was necessary to convert VOC to TOG as the speciation profiles were provided in terms of TOG.
For all years, OTAQ provided separate correction factors for GA powered by piston and turbine
engines (Cook, 1997). Therefore, the VOC estimates needed to be disaggregated into turbine and
piston powered aircraft as noted in the following equations based on the assumption that 94 percent
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of the GA fleet are powered by piston engines and 6 percent of the fleet are powered by turbine
engines (Cook, 1997).
VOC estimate for GA Turbine Engine:
GA VOC estimate * turbine fleet fraction = turbine powered VOC estimate
Example: 2,014.36 tons of VOC * 0.06 = 120.86 tons VOC
VOC estimate for GA Piston Engine:
GA VOC estimate * piston engine fleet fraction = piston powered VOC estimate
Example: 2,014.36 tons of VOC * 0.94 = 1,893.50 tons VOC
VOC estimates were converted into TOG estimates using the following equations.
TOG estimate for GA Turbine Engine:
Turbine VOC estimate * TOG/VOC conversion factor = TOG emission estimate
Example: 120.86 tons of VOC * 1.1347 TOG/VOC = 137.14 tons TOG
TOG estimate for GA Piston Engine:
Piston VOC estimate * TOG/VOC conversion factor = TOG emission estimate
Example: 1,893.50 tons of VOC * 1.0738 TOG/VOC = 2,033.24 tons TOG
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For previous years, these TOG values were applied to the speciation profiles included in
Tables A-13 and A-14. The 1,3-butadiene, acetaldehyde, acrolein, benzene, formaldehyde, and
styrene fractions of TOG for turbine and piston GA were provided by OTAQ (Cook, 1997). The
TOC/PMSpeciation Data System (EPA, 1995) was used to provide toxics fractions for
ethylbenzene, propionaldehyde, styrene, toluene and xylene. Profiles 1099, Aircraft Landing and
Takeoff (LTO)-GA, and profile 1313, Average Exhaust from a Light Duty Gasoline Vehicle
Operating on Industry Average Gasoline, were used for turbine engine GA and piston engine GA,
respectively. These toxic fractions were applied to the above TOG values using the following
equation.
TOG x * speciation profilexi = HAP emission estimatexi
Where:
x
Speciation profilex
Emission estimate.
= Engine type (Turbine/Piston)
= Pollutant
= Speciation fraction for engine type x and pollutant i
(Table A-l 1 and Table 12)
= Emission estimate for engine type x and pollutant i
Example: 293.31 tons of TOG * 0.0157 1,3-butadiene fraction = 4.6 tons of 1,3 butadiene
Table A-13. Previous HAP/TOG Speciation Profiles for General Aviation
with Turbine Engines
Pollutant
TOG Speciation profile
1,3-butadiene
0.0157
Acetaldehyde
0.0432
Acrolein
0.0206
Benzene
0.0179
Ethylbenzene
0.0015
Formaldehyde
0.1414
Propionaldehyde
0.0090
Styrene
0.0037
Toluene
0.0049
Xvlene
00044
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Table A-14. Previous HAP/TOG Speciation Profiles for General Aviation with
Piston Engines
Pollutant
TOG Speciation profile
1,3-butadiene
0.0098
Acetaldehyde
0.0062
Acrolein
0.0006
Benzene
0.0405
Ethylbenzene
0.0147
Formaldehyde
0.0269
N-hexane
0.0070
Propionaldehyde
0.0006
Styrene
0.0034
Toluene
0.1040
Xylene
0.0586
The previous emission estimates for PAH compounds from GA were developed for
individual species (Cook, 2001). For PAHs, the VOC estimate was speciated for turbine engines,
while the PM10 estimate was speciated for piston engines (Cook, 2001). The PAH emissions were
estimated for turbine powered aircraft based on the following equations, note that the derivation of
the VOC estimate for turbine powered GA is noted above.
PAH Equation for Turbine Powered Aircraft:
VOCTurbme * speciation profile Turbme t = HAP emission estimate Turbine,
Where:
i = PAH species
VOCXurbine = VOC estimate for turbine powered aircraft (TPY)
speciation profileXurbinei = VOC speciation profile for species i (Table A-15)
emission estimateXurbine; = Turbine emission estimate for PAH species i (TPY)
Example: Pyrene emissions from Turbine Powered GA
Pyrene emissions = 258.49 Tons of VOC * 1.03 E-6 pyrene fraction = 2.662 E-4 tons of pyrene
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Table A-15. Previous PAH/VOC Speciation Profile for General Aviation
with Turbine Engines
Pollutant
VOC Speciation profile
Benzo(a)anthracene
6.10 E-08
Benzo(a)pyrene
3.34 E-08
Chrysene
5.68 E-08
Anthracene
4.03 E-07
Benzo(ghi)perylene
5.54E-09
Fluoranthene
8.43E-07
Naphthalene
4.30E-04
Phenanthrene
3.75E-06
Pyrene
1.03E-06
PAH Equation for Piston Powered Aircraft:
For the previous inventory, the PM10 emission estimate for piston engine GA was calculated
using the following equation which is based on the assumption that 94 percent of the GA fleet is
powered by piston engine aircraft.
GA PMI0 estimate * piston fleet fraction = PMI0 emission from piston GA
Example: 1,246.55 tons of PM10 * 0.94 = 1,171.76 tons PM10
The PAH emissions were estimated for piston powered GA based on the following equations.
PMI0 Piston * speciation profilePistoni = HAP emission estimate;
Where:
i
P-^-10 Piston
speciation profilepistoni
emission estimatepistoni
Example: 1,171.76 tons of PM10Piston
= PAH Species
= PM10Estimate for Piston Powered Aircraft (TPY)
= PM10 speciation profile for Species i (Table A-16)
= Piston Emission Estimate of PAH Species i (TPY)
* 1.24 E-3 pyrene fraction = 1.45 tons of pyrene
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Table A-16. Previous PAH/PM Speciation Profile for General Aviation
with Piston Engines
Pollutant
PM Speciation profile
Benzo(a)anthracene
1.00E-04
Benzo(a)pyrene
1.00E-04
Benzo(b)fluoranthene
1.20E-04
Benzo(k)fluoranthene
1.20E-04
Chrysene
1.00E-04
Indeno( 1,2,3 -cd)pyrene
8.00E-05
Acenaphthene
7.30E-04
Acenaphthylene
4.12E-03
Anthracene
8.50E-04
Benzo(ghi)perylene
2.60E-04
Fluoranthene
9.10E-04
Fluorene
1.51E-03
Naphthalene
9.07E-02
Phenanthrene
2.54E-03
Pyrene
1.24E-03
Since there were no speciation profiles for turbine engines for the compounds
benzo(b)fluoranthene, benzo(k)fluoranthene, dibenz(a,h,)anthracene, indeno(l,2,3-cd)pyrene,
acenaphthene, acenaphthylene and fluorene, speciation profiles were used only for piston engines
for these pollutants.
Military Aircraft
For military aircraft, activity data were taken from the FAA Air Traffic and Activity Data
System (DOT, 2001b). In this reference, each activity (i.e., a landing or take-off) is counted. For
every LTO there are two activities ("landing" and "take-off); therefore, the FAA activity data were
divided by two to estimate LTOs.
Example:	3,525,606 FAA aircraft operations / 2 = 1,762,803 LTOs
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Currently, there are no generic SIP criteria emission factors developed specificially for
military aircraft, therefore the military LTO data were applied to generic SIPcriteria emission
factors for air taxi using the following equations:
Military LTO s * emission factor = emission estimate
Example: 1,762,803 LTOs* 1.234 pounds HC/LTO*l ton/2,000 pounds=l,087.65 tons of HC
The criteria emission factors for HC, NOx, CO, and SOx for air taxis were obtained from the
EPA's Procedures for Emission Inventory Preparation, Volume IV: Mobile Sources (EPA,
1992)(see Table A-17). PM emission factors for air taxis were obtained from EPA's National Air
Pollution Emission Trends, Procedures Document for 1900-1996 (EPA, 1997). PM25 emissions
were estimated by applying the same national percentage of PM2 5 to PM10 that existed in the 1998
NET.
A VOC/HC conversion factor from Procedures for Emission Inventory Preparation, Volume
IV: Mobile Sources (EPA, 1992) was applied to the military HC emission estimate to obtain a VOC
estimate.
Military HC emissions * VOC/HC conversion factor = Military VOC estimate
Example: 1,087.65 tons of HC * 1.1046 VOC/HC = 1,201.42 tons of VOC
Table A-17. Pollutant Specific Emission Factors for Military Aircraft for All Years
Pollutant
Emission Factor (lbs/LTO)
HC
1.234
NOx
0.158
CO
28.13
SOx
0.015
PM10
0.60333
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Estimates for HAPs for military aircraft were not possible due to the lack of information
concerning the make up of the military aircraft fleet and lack of available HAP emission factors and
profiles.
References:
Billings, Richard and Roger Chang, Eastern Research Group, Inc. Memorandum entitled
Commercial Aircraft PM Emission Estimate, to Laurel Driver, Rich Cook and Bryan Manning, U.S.
Environmental Protection Agency. September 21, 2004.
Billings, Richard and Roger Chang, Eastern Research Group, Inc. Memorandum entitled Revised
HAP Speciation Profiles for Commercial Aircraft, to Laurel Driver and Rich Cook, U.S.
Environmental Protection Agency. October 25, 2004.
Cook, Rich. Memorandum entitled Source Identification and Base Year 1990 Emission Inventory
Guidance for Mobile Source HAPs on the OAQPS List of 40 Priority HAPs, to Laurel Driver and
Anne Pope, U.S. EPA Office of Air Quality Planning and Standards (OAQPS). U.S. EPA Office of
Mobile Sources. Ann Arbor, MI. June 11, 1997.
Cook, Rich and Joe Somers. Memorandum entitled Revised Methodology and Emission Factors for
Estimating Mobile Source PAH Emissions in the National Toxics Inventory, to Laurel Driver, U.S.
EPA Office of Air Quality Planning and Standards (OAQPS). U.S. EPA Office of Mobile Sources
(OMS). Ann Arbor, MI. June 8, 2001.
Federal Aviation Administration. T-100 Segment, 2002. Bureau of Transportation Statistics.
Downloaded from the following Internet site: http://www.bts.gov.
Petche, Ken. Email received containing data on Foreign Flag Carriers, to Rich Cook, U.S. EPA
Office of Air Quality Planning and Standards (OAQPS). U.S. EPA Office of Mobile Sources
(OMS). July 12,2001.
U. S. Department of Transportation (DOT). Airport Activity Statistics of Certificated Route Air
Carriers, 12 Months Ending December 31, 1999. Bureau of Transportation Statistics, Office of
Airline Information. Washington, DC. 2001.
U. S. Department of Transportation. Emissions and Dispersion Modeling System, Version 4.0.
Federal Aviation Administration. May, 2001a.
U.S. Department of Transportation. Air Traffic Activity - Fiscal Year 1999. Federal Aviation
Administration, Aviation Policy and Plans. Downloaded from the following Internet Site:
http//www.apo.data.faa.gov/. July 16, 2001b.
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U. S. Department of Transportation. Terminal Area Forecast System. Federal Aviation
Administration, Aviation Policy and Plans. Downloaded from the following Internet Site:
http//www.apo.data.faa.gov/. 2001c.
U.S. Environmental Protection Agency (EPA/ National Air Pollutant Emission Trends, 1900-
1996.	EPA-454/R-97-011. U.S. EPA Office of Air Quality Planning and Standards. December
1997.
U.S. Environmental Protection Agency. TOC/PMSpeciation Data System, Version 2.03. Office of
Air Quality Planning and Standards. Research Triangle Park, NC. 1995.
U.S. Environmental Protection Agency. Procedures for Emission Inventory Preparation, Volume
IV: Mobile Sources. EPA-450/4-81-026d (Revised). Office of Air and Radiation. Research
Triangle Park, NC, and Ann Arbor, MI. 1992.
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Appendix B
Commercial Marine Vessels Emission Estimation Methodology

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Commercial Marine Vessels Emission Estimating Methods
Criteria Pollutant Emission Estimates
The criteria pollutant emission estimates for marine vessels were handled differently for
diesel and steam-powered vessels. For diesel-powered vessels emission estimates used in the recent
marine diesel regulatory background documentation were used in this inventory effort (Draft
Regulatory Impact Analysis Control of Emissions from Compression Ignition Marine Engines, EPA
1998). The regulatory inventory was developed for the year 2000. The 2000 estimates where used
directly in the NEI. To approximate emissions for 1999, the 2000 estimates were adjusted based on
the growth factor (i.e., 0.5%) used in the diesel marine vessels regulatory background documents
(See Table B-l). Fuel data for CMVs were obtained from DOE's Distillate Fuel Oil Vessel
Bunkering Adjusted Sales data from the 1999 Fuel Oil and Kerosene Sales Report published by the
Energy Information Administration (EIA) of the Department of Energy (DOE). These data were
converted from thousand gallons to tons. EPA provided fuel usage data in tons per year for diesel
vessels that combusted residual fuel and steamships that operated on only residual fuel. From these
data, percentages were calculated to determine the portion of vessel bunkered fuels each
represented. These proportions were used to allocate bunkered fuel to vessel/fuel types for the other
inventory years included in this effort.
Table B-l. Criteria Emission Estimates for Marine Diesel Engines
(thousand short tons/year)
Base Year
Pollutant
VOC
NOx
PM
CO
2000
31.45
1,005.70
42.30
132.60
1999
31.29
1,000.67
42.09
131.94
For steam-powered vessels, also referred to as residual fueled vessels, fuel data were derived
by OTAQ using data obtained form the diesel marine regulatory impact analysis. These fuel data
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B-l

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were combined with available EPA emission factors recommend in Procedures for Emission
Inventory Preparation, Volume IV: Mobile Sources (US EPA, 1989) (See Table B-2) using the
following equation.
Fuel consumption (1,000 gal/yr) x criteria emission factor (lb/1,000 gal) = criteria emission
estimate Ib/yr
Example: 82,808,405.51 gal of residual fuel/yr x 25.8 lbs PM10 /1,000 gal = 1,068 tons PM10/yr
Table B-2. Emission Factors (lb/1,000 gal of fuel)
Base Year
Pollutant
VOC
NOx
PMin
CO
Steamship
1.27
54.45
25.8
3.7
A similar approach was also used for diesel S02 emission estimates, where national diesel
fuel usage was combined with sulfur concentration of marine diesel fuel and the EPA emission
factors included in Volume IV. For the purpose of this study, fuel sulfur concentrations were
assumed to be 0.25% for diesel fuel and 2.7% for residual fuel.
Note that PM2 5 emissions were estimated by using the assumption made in TRENDS
calculations that 92% of PM10 is PM2 5.
HAP Emission Estimates
Marine diesel engines are able to use distillate, residual or a mixture of distillate and residual
fuels. In developing the national criteria estimate for marine diesel engines, the EPA took this into
consideration. Since the portions of residual fuel used in marine diesel engines needed to be
handled separately in calculating HAP emissions, the EPA provided fuel usage estimates for three
categories of CMV's - marine diesel engines that use distillate fuel, marine diesel engines that use
residual fuel, and steamships that use residual fuel.
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For diesel marine vessels using diesel fuel, speciation profiles developed for heavy-duty
diesel vehicles (HDDV) were used to estimate emissions of 2, 2, 4-trimethylpentane, acetaldehyde,
acrolein, benzene, ethylbenzene, formaldehyde, n-hexane, propionaldehyde, styrene, toluene,
chromium, manganese, and nickel. The HDDV speciation profiles were obtained from information
provided in Evaluation of Factors That Affect Diesel Exhaust Toxicity (Truex and Norbeck, 1998).
The values given in this reference are in milligrams per brake horsepower-hours (mg/Bhp-hr).
Speciation profiles were derived from these factors by using the following equation.
HAP hp-hr emission factor/VOC hp-hr emission factor = HAP/VOC speciation profile
Example: 2.14 acrolein weighted total (mg/Bhp-hr) / 604.91 (mg/Bhp-hr) VOC weighted total
= 0.0035 tons acrolein/ton VOC
Note, chromium emissions were split into hexavalent and trivalent chromium based on an
assumption that 34% of total chromium was hexavalent and the remaining 66% was trivalent.
The speciation profiles were applied to the VOC and PM10 emission estimates to calculate
the associated HAP emissions using the following equation. This approach was also used for diesel
marine engines using residual fuel to estimate organic HAP emissions. Table B-3 below lists the
speciation profiles used to calculate the diesel HAP emissions.
VOC/PMI0/2 5 * speciation profilei = HAP emission estimate:
Where:
HAP emission estimate
voc/pm10/25
speciation profile;
= HAP Emission estimate (tons/year) for pollutant:
= VOC or PM emission estimate (tons/year)
= VOC or PM speciation fraction for pollutant i (Tables B-3,
B-4)
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B-3

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Table B-3. Diesel-powered Vessel Speciation Profiles
Pollutant
VOC Speciation profile
Acetaldehyde
0.074298
Acrolein
0.0035
Benzene
0.020344
Ethylbenzene
0.0020
Formaldehyde
0.1496
n-Hexane
0.0055
Propionaldehyde
0.0061
Styrene
0.0021
Toluene
0.0032
Xylene
0.0048
2, 2, 4-Trimethylpentane
0.0004
Pollutant
PM,n Speciation profile
Chromium
3.27E-06
Manganese
2.04E-06
Nickel
6.55E-06
Speciation profiles were developed for diesel marine engines using diesel fuel for the
individual compounds that make up 16-PAH (Cook, 2001). Total PM2 5 emissions were speciated
for each of these compounds. PM2 5 national level emissions were obtained by multiplying PM10
emissions by 92 percent. This approach was also used for diesel engines using residual fuel. Table
B-4 lists the diesel speciation profiles for the PAH compounds.
Table B-4. Diesel-powered Vessel Speciation Profiles for 16-PAH Compounds
Pollutant
PM15 Speciation profile
Benzo(a)anthracene
0.00004
Benzo(a)pyrene
0.000013
Benzo(b)fluoranthene
0.000011
Benzo(k)fluoranthene
0.000011
Chrysene
0.000007
Indeno( 1,2,3 -cd)pyrene
0.000001
Acenaphthene
0.000024
Acenaphthylene
0.000037
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B-4

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Table B-4. Diesel-powered Vessel Speciation Profiles for 16-PAH Compounds (Continued)
Pollutant
PM15 Speciation profile
Anthracene
0.000037
Benzo(ghi)perylene
0.000009
Fluoranthene
0.000022
Fluorene
0.000049
Naphthalene
0.001401
Phenanthrene
0.000056
Pyrene
0.000039
Lead emissions from diesel marine engines fueled with diesel fuel were calculated using the
following fuel-based emission factor included in the following equations.
Lead emissions = Fuel usage * Emission factor
Example: lead emissions from diesel CMV
1.3E-06 lbs/gal * 2,064,590,000 gal/year = 2,683.97 lb lead/year
Given that HAP speciation profiles or emission factors have yet to be developed for
steamships that use residual fuel, the emission factors that were used in this effort were derived
from stationary industrial and commercial boilers. These boiler emission factors were obtained
from the US EPA ICCR program (Porter, 1998; US EPA, 1996) and converted from lb/MMBtu to
lb/gallon using a conversion factor of 140,0000 Btu/gallon. To estimate the steam-powered vessel
emissions, the pollutant specific emission factors listed in Table B-5 were multiplied by the national
steamship fuel data provided by the EPA as noted in the equation below. This approach was also
used to estimate metal and PAH emissions from diesel powered vessels using residual fuel.
EF(HAP) * National Residual Oil Sales = National Emissions for HAP
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B-5

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Example: 1.05E-7 tons of benzene/1000 gal x 82,808.4 1,000 gal of residual fuel = 0.01 tons
ofbenzene
Total chromium emissions were speciated into trivalent and hexavalent chromium based on the
assumption that 66% of the total chromium was trivalent chromium and 34% of the total chromium
was hexavalent chromium.
Table B-5. Steam-powered Vessel HAP Emission Factors
Pollutant
Emission factor (tons/1000 gallons)
Acetaldehyde
2.45E-06
Benzene
1.05E-07
Formaldehyde
1.68E-05
POM as 7-PAH
5.81E-09
POM as 16-PAH
5.88E-07
Beryllium
1.40E-08
Cadmium
1.96E-07
Chromium
4.20E-07
Lead
7.70E-07
Manganese
1.47E-06
Nickel
4.20E-05
Selenium
3.43E-07
The national emission estimates were disaggregated into port and underway emissions using
the assumptions in Volume IV., that 75% of distillate fuel and 25% of residual fuel are consumed
within the port area and the remaining emissions occur while the ship is underway. The national
port emissions were assigned to the largest 150 ports based on the amount of freight handled as
documented in Waterborne Commerce of the United States, Part 5 - Waterways and Harbors
National Summaries (COE, 2001). The data may also be obtained from the following website
http://www.iwr.usace.armv.mil/ndc/wcsc/pdf/wcusnatl99.pdf. The traffic from the 150 ports listed
was summed and applied to the individual port traffic totals to calculate the percentage of national
traffic attributed to each port. These percentages were then applied to the national estimates to
determine the port-level emissions.
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Underway emissions were calculated by using a GIS dataset from the Department of
Transportation which identified shipping lanes and estimated shipping activity in terms of ton miles.
The shipping lanes with legitimate codes that could be matched to a county border were calculated.
91.6 percent of the tonnage miles for shipping lanes could be matched to a county in the United
States. The county level tonnage miles were divided by the total shipping lanes in the United
States, and then multiplied by the percentage of matching shipping lanes (91.6 percent) and the
national level estimates for each pollutant to get a county level distribution as noted in the equation
below.
County X emissions = (0.916 *(£ County level of shipping tons length / £ US shipping lanes with
legitimate waterway codes and intersect county borders, including boundaries)) * Pollutant specific
national level emissions estimate
For those shipping lanes that could not be matched to a county border (8.4 percent), the state
level shipping lanes in tonnage miles was divided by the total number of shipping lanes in tonnage
miles and multiplied by the remaining 8.4 percent of emissions for each pollutant to get a county
level allocation of non-matching emissions.
It is recognized that there are some inconsistencies with the BTS GIS data for other
inventory years, therefore the 1999 weight factors are used in all inventory years until BTS had
revised their GIS data files.
County X emissions = (0.084 * (£ State level shipping lanes in tons length) / £ Total shipping lanes
in tons length) * Remaining emissions for each pollutant)
Emissions for matched and unmatched shipping lanes were combined to estimate a county's total
underway CMV emissions. County total CMV emissions combine the underway and port emission
estimates.
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References:
Bureau of Transportation Statistics, 2000. National Transportation Atlas Databases - National
Waterway Network. Washington, DC, Publisher: Bureau of Transportation Statistics
Cook, Rich and Joe Somers. Memorandum entitled Revised Methodology and Emission Factors for
Estimating Mobile Source PAH Emissions in the National Toxics Inventory, to Laurel Driver, U.S.
EPA Office of Air Quality Planning and Standards (OAQPS). U.S. EPA Office of Mobile Sources
(OMS). Ann Arbor, MI. June 8, 2001.
Cook, Rich. Memorandum entitled Guidance on Mobile Source Emission Estimates in the 1996
National Toxics Inventory, to Laurel Driver and Anne Pope, U.S. EPA Office of Air Quality
Planning and Standards. U.S. EPA Office of Mobile Sources. Ann Arbor, MI. June 9, 1997.
Cook, Rich. Memorandum entitled Source Identification and Base Year 1990 Emission Inventory
Guidance for Mobile Source HAPs on the OAQPS List of 40 Priority HAPs, to Laurel Driver and
Anne Pope, U.S. EPA Office of Air Quality Planning and Standards (OAQPS). U.S. EPA Office of
Mobile Sources. Ann Arbor, MI. June 11, 1997.
Porter, Fred. Note entitled Comments on Commercial/Institutional Heating Information in the
"Baseline Emission Inventory of HAP Emissions from MACT Sources - Interim Final Report, "
September 18, 1998, to Anne Pope, U.S. EPA Emission Factor and Inventory Group. U.S. EPA
Emission Standards Division. Research Triangle Park, NC. November 13, 1998.
Truex, Dr. Timothy J. and Dr. Joseph M. Norbeck. Evaluation of Factors That Affect Diesel
Exhaust Toxicity. University of California-Riverside, Center for Environmental Research and
Technology. Riverside, CA. 1998.
U.S. Army Corps of Engineers. Waterborne Commerce of the United States, Part 5 - Waterways
and Harbors National Summaries. Water Resources Support Center, Fort Belvoir, VA.
Downloaded from the following Internet site: http://www.wrsc.usace.armv.mil/ndc/wcusnatl99.pdf.
January 22, 2001.
U.S. Department of Energy (DOE). Fuel Oil and Kerosene Sales, 1999. DOE/EIA — 0535 (99),
Distribution Category UC-950. Energy Information Administration, Office of Oil and Gas,
Washington, DC. Available at the following Internet site:
http://www.eia.doe.gov/oil_gas/petroleum/info_glance/petroleum.html 2001.
U.S. Environmental Protection Agency. SPECIATE: VOC/PMSpeciation Database Management
System. Version 3.1. Research Triangle Park, NC 2000.
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U.S. Environmental Protection Agency. Draft Regulatory Impact Analysis: Control of Emissions
from Compression Ignition Marine Engines. EPA-420-R-98-017. Office of Mobile Sources,
Engine Programs and Compliance Division. Ann Arbor, MI 1998.
U. S. Environmental Protection Agency. Compilation of Air Pollutant Emission Factors, Volume I:
Stationary Point and Area Sources, Fifth Edition, AP-42. Research Triangle Park, NC. 1996.
U.S. Environmental Protection Agency. Procedures for Emission Inventory Preparation, Volume
IV: Mobile Sources. EPA-450/4-81-026d (Revised). Office of Air and Radiation. Research
Triangle Park, NC. 1992.
U.S. Environmental Protection Agency. Procedures for Emission Inventory Preparation, Volume
IV: Mobile Sources. Office of Air Quality Planning and Standards. Research Triangle Park, NC.
1989.
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Appendix C
Locomotive Emission Estimation Methodology

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Locomotive Emissions Estimating Methods
For the criteria pollutants, US distillate fuel oil sales (in gallons) for railroads was obtained
from the Department of Energy (EIA, 2000) and EPA/OTAQ (EPA, 2003) and disaggregated into
different railroad categories (e.g., Class I, Class II/III, commuter, and passenger), by dividing the
EIA's national rail fuel data with SCC ratios calculated from data obtained by the U.S. EPA/OTAQ
(Scarboro, 2002). Fuel data for 2001 was not available at the time the inventory was being
developed, therefore, fuel data for the previous six years (i.e., 1995-2000) were averaged to
approximate fuel usage for 2001. Fuel usage for 2002 was provided by EPA/OTAQ and is derived
from DOE data. Fuel use associated with work trains were excluded in these fuel estimates to avoid
double counting with railroad maintenance estimates included in the other nonroad source category.
Note, California uses a low sulfur fuel which is different than typical railroad fuel; therefore, the
California state emission estimates, though similar to the national emission estimates are calculated
separately.
SCC Ratio = Railroad Category Fuel Use/Total National Fuel Use
Example: Line-haul Class I Ratio for US
Class I ratio = 3,468,220,900 gallons / 4,101,778,200 gallons = 0.8455
CO, NOx, and PM emissions were calculated by multiplying fuel-based emission factors (see
Table C-l) with the national railroad fuel sales data by SCC.
Emission estimate = fuel data (gal/yr) * emission factor (g/gal)
Example: National (excluding CA) Line Haul Class I CO estimate (tons/yr) = 2,508,718,766
gal/yr * 266 g CO/gal = 73,558.59 tons
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VOC emissions were calculated by multiplying the emission factor for hydrocarbons with
the fuel sales data and then converting the hydrocarbons into VOC using a conversion factor (U.S.
EPA, 1992) as shown in the following equation.
VOC = fuel(gal/yr) * emission factor (g HC/gal) *VOC/HC conversion factor
Example: National Line Haul Class I (excluding CA) VOC = 2,508,718,766 gal/yr * 10 g
HC/gal * 1.005 VOC/HC
= 27,791.87 tons VOC/yr
Table C-l. Criteria Pollutant Emission Factors
Pollutant
see
Emission Factor
Reference
VOC
2285002006
10 gram/gallon
(U.S. EPA 1997)
VOC
2285002007
10 gram/gallon
(U.S. EPA 1997)
VOC
2285002010
21 gram/gallon
(U.S. EPA 1997)
VOC
2285002009
10 gram/gallon
(U.S. EPA 1997)
VOC
2285002008
10 gram/gallon
(U.S. EPA 1997)
VOC/HC
All
1.005 VOC/HC
(U.S. EPA 1992)
CO
2285002006
26.6 gram/gallon
(U.S. EPA 1997)
CO
2285002007
26.6 gram/gallon
(U.S. EPA 1997)
CO
2285002010
38.1 gram/gallon
(U.S. EPA 1997)
CO
2285002009
26.6 gram/gallon
(U.S. EPA 1997)
CO
2285002008
26.6 gram/gallon
(U.S. EPA 1997)
NOx
2285002006
270 gram/gallon
(U.S. EPA 1997)
NOx
2285002007
270 gram/gallon
(U.S. EPA 1997)
NOx
2285002010
362 gram/gallon
(U.S. EPA 1997)
NOx
2285002009
270 gram/gallon
(U.S. EPA 1997)
NOx
2285002008
270 gram/gallon
(U.S. EPA 1997)
PM10
2285002006
6.7 gram/gallon
(U.S. EPA 1997)
PM10
2285002007
6.7 gram/gallon
(U.S. EPA 1997)
PM10
2285002010
9.2 gram/gallon
(U.S. EPA 1997)
PM10
2285002009
6.7 gram/gallon
(U.S. EPA 1997)
PM10
2285002008
6.7 gram/gallon
(U.S. EPA 1997)
pm2,
2285002006
6.03 gram/gallon
(U.S. EPA 1997)
pm2,
2285002007
6.03 gram/gallon
(U.S. EPA 1997)
pM-
2285002010
8.28 gram/gallon
(U.S. EPA 1997)
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Table C-l. Criteria Pollutant Emission Factors (Continued)
Pollutant
see
Emission Factor
Reference
pm2,
2285002009
6.03 gram/gallon
(U.S. EPA 1997)
pm2,
2285002008
6.03 gram/gallon
(U.S. EPA 1997)
SOx (U.S. excluding CA)
All
16.88 gram/gallon
(Scarbro, 2002)
SOv (California)
All
0.75 gram/gallon
(Scarbro, 2002)
The S02 emission factor was developed by multiplying the percent sulfur content in fuel,
0.27% for the U.S. except CA, and 0.012% for CA (Scarboro, 2002), by the molecular weight of
S02, and by the density of the diesel fuel, which is 7.05 lbs/gallon (U.S. EPA, 1995), and by a
conversion factor, 0.97753, (Scarboro, 2002) as noted in the equations below.
SO 2 emission factor =fuel sulfur concentration^ eight %)*fuel density (lbs/gal)* molecular
weight of SO 2 * conversion factor
Example: National (excluding CA) SOx emission factor = 0.0027 * 7.05 lbs/gal * 2 * 0.97753
= 16.88 g SOx/gal
These emission factors are included in Table C-l for California and all states excluding California.
These emission factors were applied to railroad fuel sales data in the same fashion as the other
criteria estimates.
To calculate locomotive emission estimates for many metal HAPs, emission factors (Table
C-2) were multiplied by the fuel oil data as noted in the following equation.
HAP emissions = rail fuel usage (gal/yr) * emission factor (lb ofHAP/gal)
Example: Line Haul Class I Cadmium emission = 2,508,718,766 gal/yr * (4.2E-7) lb
Cadmium/gal = 0.5268 tons Cadmium / year
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Table C-2. Additional HAP Emission Factors
Pollutant
Emission Factor (lbs/gallon)
Reference
Beryllium
4.2E-07
(Porter, 1998)
Cadmium
4.2E-07
(Porter, 1998)
Lead
1.3E-06
(Porter. 1998")
A number of HAP locomotive emission factors were available by locomotive engine type: 2-
stroke and 4-stroke (Table C-3). To use these emission factors in this inventory, the factors were
combined into a composite emission factor based on the percent of 2-stroke and 4-stroke engines in
operation in the United States (68.4% 2-stroke and 31.6% 4-stroke (U.S. EPA, 1998)). These
composite factors were applied to the railroad fuels sales data as noted in the equation below.
HAP emission =fuel (gal/yr) * (2-stroke emission factor (HAP g/gal) * percent 2-stroke +
4-stroke emission factor (HAP g/gal) * percent 4-stroke)
Example: Railroad Acrolein emissions for all states except California (Line Haul Class I)
Acrolein emission estimate = 2,508,718,766 gal/yr * (0.684*0.0374 +0.316*0.0179) Acrolein g/gal
= 86.392 tons Acrolein/yr
Table C-3. HAP Emission Factors for 2-stroke and 4-stroke Components
Pollutant
2-stroke
Emission
Factor (U.S.
except CA)
4-stroke
Emission
Factor (U.S.
except CA)
2-stroke
Emission
Factor
(CA)
4-stroke
Emission
Factor
(CA)
Reference
grams/gallon
1,3 Butadiene
0.02836
0.0413511
0.0246138
0.0349507
(Fritz, 2000)
Acetaldehyde
0.206756
0.1469518
0.2106938
0.1886544
(Fritz, 2000)
Acrolein
0.037413
0.0178725
0.0374129
0.0417025
(Fritz, 2000)
Benzene
0.018903
0.0409082
0.0147683
0.0422983
(Fritz, 2000)
Chromium
3.36E-05
5.864E-05
7.871E-05
4.387E-05
(Fritz, 2000)
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Table C-3. HAP Emission Factors for 2-stroke and 4-stroke Components (Continued)
Pollutant
2-stroke
Emission
Factor (U.S.
except CA)
4-stroke
Emission
Factor (U.S.
except CA)
2-stroke
Emission
Factor
(CA)
4-stroke
Emission
Factor
(CA)
Reference
grams/gallon
Formaldehyde
0.454862
0.3852521
0.4194185
0.4487989
(Fritz, 2000)
Vfote: Chromium was later speciated into Chromium III and Chromium VI using the ratios 0.66 and 0.34
respectively.
California HAP emission estimates were calculated separately because a different railroad fuel has
been used in California since 1995. There are different HAP emission factors associated with
California's railroad fuel.
For other HAPs, speciation profiles (Table C-4 and C-5) were applied toVOC or PM10
emission estimates as noted below.
HAP/VOC Speciation
HAP = VOC estimate (tons/year) * speciation profile (tons HAP/tons VOC)
Example: Line Haul Class I styrene emissions
27,791.87 tons/yr VOC *0.0021 tons Styrene/VOC = 58.363 tons Styrene/yr
HAP = PM10 estimate (tons/yr) * speciation profile (tons HAP/tons PM10)
HAP/PM Speciation
Example: Line Haul Class I Chrysene emissions for all U.S. states except California
18,527.92 tons PM10/yr * 0.0000119 tons Chrysene/ ton PM10 = 0.220 tons Chrysene /yr
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Table C-4. HAP Speciation Profiles
Pollutant
Speciation Profile
Reference
2,2, 4 Trimethylpentane
0.00224
tons/VOC
Censullo, 1991, Newkirk and Bass 1995
Ethylbenzene
0.002
tons/VOC
(Truex, 1998)
n-Hexane
0.0055
tons/VOC
(Truex, 1998)
Propionaldehyde
0.0061
tons/VOC
(Truex, 1998)
Styrene
0.0021
tons/VOC
(Truex, 1998)
Toluene
0.0032
tons/VOC
(Truex, 1998)
Xylene
0.0048
tons/VOC
(Truex, 1998)
Manganese
2.04E-06
tons/PM10
(Truex, 1998)
Nickel
6.55E-06
tons/PM,n
(Truex, 1998)
Table C-5. Separate Hazardous Air Pollutant Speciation Profiles for U.S and CA

Speciation Profile
Speciation Profile

Pollutant
(U.S. except CA)
(CA)
Reference

(ton/PM10)
(ton/PM10)

B enzo(a)anthracene
0.0000160
0.0000121
(Scarbro, 2001)
Benzo(a)pyrene
0.0000027
0.0000044
(Scarbro, 2001)
Benzo(b)fluoranthene
0.0000064
0.0000044
(Scarbro, 2001)
B enzo(k)fluoranthene
0.0000052
0.0000044
(Scarbro, 2001)
Chrysene
0.0000119
0.0000092
(Scarbro, 2001)
Dibenz(a,h)anthracene
0.0000000
0.0000000
(Scarbro, 2001)
Indeno(l ,2,3 -cd)pyrene
0.0000027
0.0000033
(Scarbro, 2001)
Acenaphthene
0.0000306
0.0000080
(Scarbro, 2001)
Acenaphthalene
0.0004275
0.0002182
(Scarbro, 2001)
Anthracene
0.0001009
0.0000535
(Scarbro, 2001)
Benzo(ghi)perylene
0.0000031
0.0000044
(Scarbro, 2001)
Fluoranthene
0.0000746
0.0000601
(Scarbro, 2001)
Fluorene
0.0001407
0.0000619
(Scarbro, 2001)
Napthalene
0.0025756
0.0018505
(Scarbro, 2001)
Phenanthrene
0.0005671
0.0002822
(Scarbro, 2001)
Pvrene
0.0001054
0.0000771
(Scarbro. 2001")
Where speciation profiles were available that characterized California railroad fuels these
profiles were used to estimate emissions for California only. If California-specific speciation
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profiles were not available for a specific pollutant, then the speciation profiles included in Table C-
4 were used to estimate California's emissions.
Emissions were spatially allocated to individual counties based on the railroad traffic data
provided by the Department of Transportation. Because California uses a different locomotive fuel,
its emission estimates were allocated separately.
The activity data for each county was then divided by the total activity by railroad type, to
develop the county ratio, as noted in the following equation.
County ratio by SCC = county SCC activity level / total SCC activity
Example: FIP State OX County 00Y for Class I railroad
Class I county length density for 0X-00Y = 2125.925
US Class I total length density = 5155468
County activity level / national activity level
2125.925 length-density / 5155468 Class I length-density = 0.000412
These county ratios were applied to the national locomotive estimates to apportion the emissions to
the county level as noted in the equation below.
County pollutant emission by SCC = National - CA pollutant emission * SCC ratio
* county ratio by SCC
Example: State 01 County 001 Acrolein Class I line-haul emissions
Acrolein estimates for class I rail in county 01-001 = (113.799 ton/yr - 11.625 ton/yr) *0.8455 *
0.000412= 0.0356 ton/year
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Total chromium emissions were speciated into trivalent and hexavalent chromium based on
the assumption that 66% of the total chromium was trivalent chromium and 34% of the total
chromium was hexavalent chromium.
The national level emissions were then allocated to the county-level based on GIS rail
activity data provided by the U. S. Department of Transportation (Bureau of Transportation). It is
recognized that there are some inconsistencies with the BTS GIS data for other inventory years,
therefore, the 1999 weight factors were used for all inventory years until BTS had revised their GIS
data files.
References:
Bureau of Transportation Statistics, 2000. National Transportation Atlas Databases - National Rail
Network 1:2,000,000. Washington, DC, Publisher: Bureau of Transportation Statistics.
Energy Information Administration Form DOE/EIA-0535(99), Fuel Oil and Kerosene Sales 1999
Table 11. Sales of Transportation Use Distillate Fuel Oil and Residual Fuel Oil, 1999, September
2000.
Fritz, Steve, Diesel Fuel Effects on Locomotive Exhaust Emissions, California Air Resource Board.
SwRI 08.02062, October 2000.
Porter, Fred L., U.S. Environmental Protection Agency, emission Standards Division. Note to Anne
Pope, U.S. EPA/Emissions, Monitoring and Analysis Division. Comments on combustion source
information in the Baseline Emission Inventory of HAP Emissions from MACT Sources - Interim
final Report (September, 18, 1998 . November 13, 1998).
Scarbro, Carl, E-mail entitled Chromium in Loco's - Reply, to Richard Billings, Eastern Research
Group, Inc., United States Environmental Protection Agency Office of Transport and Air Quality.
June 1, 2001.
Scarbro, Carl, E-mail entitled 2, 2, 4-trimethylpentane, to Richard Billings, Eastern Research
Group, Inc., United States Environmental Protection Agency Office of Transport and Air Quality.
June 1, 2001.
Scarbro, Carl, E-mail entitled A Few Questions on the Rail Emissions - Reply, to Richard Billings,
and Roger Chang, Eastern Research Group, Inc., United States Environmental Protection Agency
Office of Transport and Air Quality. July 19, 2001.
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Scarbro, Carl, E-mail entitled 2, 2, 4-trimethylpentane, to Roger Chang, Eastern Research Group,
Inc., United States Environmental Protection Agency Office of Transport and Air Quality. March
26, 2002.
Scarbro, Carl, E-mail entitled Better Railroad Numbers This Will Disaggregate Class I Work, to
Roger Chang, Eastern Research Group, Inc., United States Environmental Protection Agency Office
of Transport and Air Quality. May 8, 2002.
Scarbro, Carl, E-mail entitled CMVSOx corrections - Reply, to Richard Billings, Eastern Research
Group, Inc., United States Environmental Protection Agency Office of Transport and Air Quality.
May 28, 2002.
Truex, Timothy J. and Joseph M. Norbeck. Evaluation of Factors that Affect Diesel Exhaust
Toxicity. University of California-Riverside, Center for Environmental Research and Technology.
Riverside, CA. March 16, 1998.
U.S. Environmental Protection Agency Form APR420-F-97-051, Emission Factors for
Locomotives, for 1996 Table 9: Fleet Average Emission Factors for All Locomotives (Projected
1999), December 1997.
U.S. Environmental Protection Agency, Locomotive Emission Standards Regulatory Support
Document, page 109, April 1998.
U.S. Environmental Protection Agency, Procedures for Emission Inventory Preparation, Volume
IV: Mobile Sources. 1992.
U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, AP-42
Section 1.3, April 1993.
U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, AP-42
Appendix A, January 1995.
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Appendix D
Other Nonroad Mobile Sources Emission Estimating Methods and Data

-------
Other Nonroad Mobile Source Emission Estimates Methods
In this inventory effort, VOC and PM emission estimates obtain from the NONROAD
("Lockdown (May 2002)" version) model run, were speciated into the HAP components. In
speciating the NONROAD output it is necessary to take into consideration the fact that counties use
different fuels which have different HAP speciation profiles for each of the different nonroad
equipment.
In order to develop the most accurate other nonroad emission estimates, it was critical to
create an appropriate set of speciation profiles for each county that reflects the different fuels used.
The use of different gasoline fuels mostly effects organic HAP emission estimates. This appendix
documents how the organic HAP speciation profiles were developed and applied to individual
equipment types for each gasoline fuel.
The approach used to developed organic HAP speciation profiles for diesel powered
nonroad equipment is similar to the approach used to develop speciation profiles for gasoline
powered nonroad equipment, except for aldehydes and PAHs. Data for PAHs were provided to
account for use of onroad fuels in nonroad applications. This information was used to weight the
nonroad speciation profiles to include onroad diesel. This appendix documents how these gasoline
and diesel speciation profiles were developed.
Once the organic HAP speciation profiles were developed and assigned to appropriate other
nonroad equipment, these profiles are applied to the county level VOC and PM estimates, taking
into account the different fuels used in each county. This apprendices documents how this was
accomplished. Because the NONROAD model provides county level VOC and PM estimates,
spatial allocation of organic HAPs was not required.
Estimating emissions of metal HAPs and dioxin/furan cogeners is somewhat different as
these pollutants are less effected by use of different reformulated and oxygenated fuels. For the
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most part, metal nonroad HAP emissions are derived by applying emission factors to activity or fuel
usage data. Lead estimates were derived by applying the lead concentration of fuels to the total
nonroad fuel usage. Metal HAP emissions were spatially allocated to the county-level based on
ratio of county PM10 emissions to the national PM10 emissions.
Because of the size of some of the other nonroad tables, they are included at the end of the
text section of this appendix.
Organic HAPs
Development of speciation profiles for gasoline powered equipment
To estimate organic HAP emissions for other nonroad sources, fuel usage data were
considered in assigning appropriate speciation profiles to each county. Volume 2 contains lists for
each year of the types of fuels used and the percentage of the year that these fuels were in use for
each county.
HAP/VOC speciation profiles for each nonroad engine type were matched to individual
counties based on the fuels used in the county. In some cases it was possible to obtain engine-
specific speciation profiles for individual HAPs and specific fuels. These speciation profiles can be
found in Table D-l for organic HAPs excluding PAH's (Scarbro, 2001 and 2002; Hare and Carroll
1993; Carroll, 1991; Censullo 1991; Hare and White 1991) and Table D-2 for PAHs (Cook and
Somers, 2001; Scarboro, 2002).
When specific speciation profiles could not be obtained, average emission factors were
developed and used for the three engine types (i.e, 2-stroke, 4-stroke, and diesel). These average
speciation profiles were derived by weighting the number of tests associated with each profile as
noted in the following equation:
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Average HAP Speciation Profile = £ speciation profile* number of test/ total number of tests
Example: Average Acrolein Speciation Profile
Acrolein Speciation Profile = (0.00158 mg Acrolein / mg VOC * 6/7) + (0.01173 mg Acrolein/mg
VOC * 1/7) = 0.00303 mgAcrolein / mg VOC
All profiles used in this inventory are based on recent test studies published in peer-reviewed
journals, as well as profiles compiled in the EPA's SPECIATE database (EPA, 1995).
Development of speciation profiles for diesel powered equipment
For diesel powered other nonroad equipment, speciation profiles were developed in the same
fashion as the gasoline powered equipment, except for aetaldehyde, acrolein, formaldehyde,
propionaldehyde and PAHs. The approaches used to develop speciation profiles for these pollutants
are discussed in this section.
Diesel speciation profiles for acetaldehyde, acrolein, formaldehyde, and propionaldehyde
were developed from HAP and total hydrocarbon (THC) emission factors, as noted in the equations
below.
HAP Speciation Profile = HAP Emission Factor / THC Emission Factor * THC/VOC conversion
factor
Example: Acrolein Speciation Profile derived from emission factors
Acrolein Speciation Profile = 0.4 mg Acrolein/hp-hrc / 260 mg THC/ hp-hr * 1.0197 THC/VOC =
0.00158 mg Acrolein/mgVOC
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PAH speciation profiles for other nonroad diesel equipment were developed taking into
consideration highway fuel used in nonroad diesel applications. In this inventory onroad and
nonroad speciation profiles were developed based on PAH and PM10 emission factors as noted in
the equations below.
Onroad PAH Speciation Profile = Onroad Diesel PAH emission factor/Onroad Diesel PM10
emission factor
Example: Onroad Diesel Anthracene Speciation Profile
Onroad Anthracene Profile= 3.0 E-7 g/hp-hr / 0.473 g PM/ hp-hr = 6.4 E-7 g/ g PM10
Nonroad PAH Speciation Profile = Nonroad Diesel PAH emission factor / Nonroad PM10 emission
factor
Example: Nonroad Diesel Anthracene Speciation Profile
Nonroad Anthracene Profile =1.9 E-7 g/hp-hr / 0.555 g PM/ hp-hr =3.4 E-7 g/ g PM10
These PAH speciation profiles were weighted based on the percentage of fuel used nationally in
onroad and nonroad diesel applications as noted in the following equation.
Weighted Diesel PAH Speciation Profile = (% highway usage * onroad profile) + ((1-% highway
usage) * nonroad profile)
Example: Weighted PAH Diesel Speciation Profile
Anthracene Speciation Profile = (0.29855* 6.4 E-7 g/ g PM10) + ((1- 0.29855) * 3.4E-7 g/g PM10)
= 4.3 E-7 g/ g PM10
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It should also be noted that the assumption was made that diesel fuels have negligible
evaporative emissions, therefore diesel evaporative speciation profiles were not developed for this
inventory.
Calculation of county-level organic HAP emissions
To calculate county-specific HAP emissions, these matched HAP/VOC profiles were
applied to county nonroad VOC estimates derived from the NONROAD model run for each county
using the following equation.
HAP Emissions (ton/yr) = (fuel percent by type * speciation profile for fuel (ton
HAP/tonVOC) * VOC estimate (ton/yr))
Note: It is necessary to sum up all six types of fuel and all engine types for total emissions
for each pollutant and county. Also fuel percents for each county must add up to
100%.
Example: Ethylbenzene from baseline fuel for a specific county
Ethylbenzene = (54.167% baseline fuel) * (0.0077 ton ethylbenzene/ton evaporative VOC)
* (0.011872369 evaporative VOC)
= 4.95 E-5 tons ethylbenzene
As organic HAP emission estimates were calculated at the county-level, there was no need
to spatially allocate these emission estimates further.
Metal and Dioxin/Furan HAPs
Emission estimates for metal and dioxin/furan HAPs is less complicated than for organic
HAPs as emissions are not as dependent upon fuels. Most metal and dioxin/furan HAPs emissions
were estimated by using national activity data where available or fuel usage. Metal emission factors
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are listed in Table D-3 and dioxin emission factors are listed in Table D-2. These national emission
estimates were developed by using the following equation.
National Metal HAP Emissions = Activity or fuel usage * Emission factor
Example: National 2-stroke nonroad nickel emission estimate
Nickel estimate = 2,22935,221 gallons* 0.000077486 g of nickel/gal* 0.002205 lbs/g * 0.0005
tons/lb = 0.0190 tons nickel
It should be noted that a national lead estimate was obtained by multiplying the average lead
content of mobile fuel with the amount of fuel used nationally and the percentage of fuel used by
other nonroad sources. The percentage of fuel used by other nonroad sources was obtained by
dividing the difference of the non-highway fuel used and aviation fuel used by the total motor fuel
used (OHPI, 2001).
Nonroad percent = (non-highway - aviation) / (highway + non-highway - aviation) * 100%
Where:
Nonroad percent = Percent of total motor fuel use attributed to nonroad sources
Non-highway = Fuel used by non-highway vehicles including aviation (gallons/yr)
Aviation = Gasoline fuel used by piston engine aircraft (gallons/yr)
Highway = Fuel used by highway vehicles (gallons/yr)
Example: Percentage of national mobile fuel usage which is used in nonroad applications
Nonroad percent = (2.942.419.000 gallon/vr - 322.285.000 gallon/vr)*100%
(128,743,412,000 gallon/yr +2,942,419,000 gallon/yr - 322,285,000 gallon/yr)
= 1.9946 % of mobile fuel is used in nonroad applications
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To calculate the national lead emissions, the total mobile fuel usage was applied to the lead
concentration found in mobile fuels. This national mobile lead value was adjusted to estimate other
nonroad usage by using the nonroad fuel usage percentage developed noted above.
Nonroad lead estimate = National mobile fuel usage (weight) *% nonroad * fuel lead
concentration
Example: National nonroad lead emission estimate
Lead estimate= 397,660,476 tons of fuel * 1.9946% * 0.0003 lbs lead/ton of fuel * 0.0005
tons/lb = 59.65 tons of lead
Total chromium emissions were speciated into trivalent and hexavalent chromium based on
the assumption that 66% of the total chromium was trivalent chromium and 34% of the total
chromium was hexavalent chromium.
National metal HAP and dioxin and furan emissions were spatially allocated to counties
relative to the county proportion PM10 emissions compared to the national PM10 emissions as noted
in the following equation. The county and national level PM emission estimates were obtained
from the NONROAD model run.
County-level metal HAP emissions = National metal HAP emission * county PMI(f national PM10
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Table D-l. Speciation Profile for Specific Engines
HAP
1,3-Butadiene
Reference
Moped


2-stroke Exhaust HAP/VOC Fraction
0.001
Hare and White (1991)



Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.0012
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.00732
White and Carrol (1998)



Lawnmower


2-stroke Exhaust HAP/VOC Fraction
0.002
Carroll (1991)



Chainsaw


2-stroke Exhaust HAP/VOC Fraction
0.002
Hare and Carroll (1993)



Trimmer


2-stroke Exhaust HAP/VOC Fraction
0.001
Carroll (1991)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.0014
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.00875
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.0021456
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.0095212
ERG (1999)
Diesel Exhaust HAP/VOC Fraction
0.0018616
ERG (1999)

HAP
Formaldehyde
Reference
Moped


2-stroke Exhaust HAP/VOC Fraction
0.002
Hare and White (1991)



Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.00527
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.00859
White and Carrol (1998)



Lawnmower


2-stroke Exhaust HAP/VOC Fraction
0.002
Carroll (1991)



Chainsaw


2-stroke Exhaust HAP/VOC Fraction
0.007
Hare and Carroll (1993)



Trimmer


2-stroke Exhaust HAP/VOC Fraction
0.003
Carroll (1991)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.00087
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.00375
Gabele and Pyle



Default


jt\0179.02.001.001\nonroad vol-I-rv3.wpd
D-8

-------
Table D-l. Speciation Profile for Specific Engines (Continued)
HAP
Formaldehyde
Reference
2-stroke Exhaust Baseline HAP/VOC Fraction
0.0025380
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.0034009
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.0036801
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.0034517
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.01715
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.015698
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.016987
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.015933
ERG (1999)
Diesel HAP/VOC Fraction
0.11815
Scrabro (2002a,b)
CA Diesel HAP/VOC Fraction
0.12667
Scrabro (2002a,b)

HAP
Benzene
Reference
Moped


2-stroke Exhaust HAP/VOC Fraction
0.015
Hare and White (1991)



Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.00714
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.00732
White and Carrol (1998)



Lawnmower


2-stroke Exhaust HAP/VOC Fraction
0.0014
Carroll (1991)



Chainsaw


2-stroke Exhaust HAP/VOC Fraction
0.008
Hare and Carroll (1993)



Trimmer


2-stroke Exhaust HAP/VOC Fraction
0.011
Carroll (1991)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.01239
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.03313
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.025158
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.020126
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.017862
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.022642
ERG (1999)
2-stroke Evaporative Baseline HAP/VOC Fraction
0.022
ERG (1999)
2-stroke Evaporative RFG/WO MTBE HAP/VOC
Fraction
0.015840
ERG (1999)
2-stroke Evaporative RFG/WO Ethanol HAP/VOC
Fraction
0.012540
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.052466
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.041972
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
4-stroke Evaporative Baseline HAP/VOC Fraction
0.037251
ERG (1999)
0.047219
ERG (1999)
0.022
ERG (1999)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
D-9

-------
Table D-l. Speciation Profile for Specific Engines (Continued)
HAP
Benzene
Reference
4-stroke Evaporative RFGAVO MTBE HAP/VOC
Fraction
0.015840
ERG (1999)
4-stroke Evaporative RFGAVO Ethanol HAP/VOC
Fraction
0.012540
ERG (1999)
Diesel HAP/VOC Fraction
0.020344
ERG (1999)

HAP
Acetaldehvde
Reference
Moped


2-stroke Exhaust HAP/VOC Fraction
0.0006
Hare and White (1991)



Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.00074
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.00469
White and Carrol (1998)



Lawnmower


2-stroke Exhaust HAP/VOC Fraction
0.004
Carroll (1991)



Chainsaw


2-stroke Exhaust HAP/VOC Fraction
0.0013
Hare and Carroll (1993)



Trimmer


2-stroke Exhaust HAP/VOC Fraction
0.0006
Carroll (1991)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.00022
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.00063
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.0016641
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.0015809
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.0016641
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.0033282
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.0041006
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.0038956
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.0041006
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.0082012
ERG (1999)
Diesel HAP/VOC Fraction
0.05308
Scrabro (2002a,b)
CA Diesel HAP/VOC Fraction
0.07461
Scrabro (2002a,b)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
D-10

-------
Table D-l. Speciation Profile for Specific Engines (Continued)
HAP
Ethvlbenzene
Reference
Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.00403
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.00403
White and Carrol (1998)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.0009
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.03017
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.023958
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.019885
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.018687
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.021802
ERG (1999)
2-stroke Evaporative Baseline HAP/VOC Fraction
0.0077000
ERG (1999)
2-stroke Evaporative RFG/WO MTBE HAP/VOC
Fraction
0.0063140
ERG (1999)
2-stroke Evaporative RFG/WO Ethanol HAP/VOC
Fraction
0.0044660
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.019824
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.016454
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.015463
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.018040
ERG (1999)
4-stroke Evaporative Baseline HAP/VOC Fraction
0.0084022
ERG (1999)
4-stroke Evaporative RFG/WO MTBE HAP/VOC
Fraction
0.0068898
ERG (1999)
4-stroke Evaporative RFG/WO Ethanol HAP/VOC
Fraction
0.0048733
ERG (1999)
Diesel Exhaust HAP/VOC Fraction
0.0031001
ERG (1999)

HAP
Stvrene
Reference
Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.00115
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.00408
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.0012952
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.0010750
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.0010103
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.0011787
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.00075849
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.00062955
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.00059162
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.00069023
ERG (1999)
Diesel Exhaust HAP/VOC Fraction
0.00059448
ERG (1999)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
D-l 1

-------
Table D-l. Speciation Profile for Specific Engines (Continued)
HAP
Acrolein
Reference
Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.00037
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.00056
White and Carrol (1998)



Lawnmower


2-stroke Exhaust HAP/VOC Fraction
0.0003
Carroll (1991)



Chainsaw


2-stroke Exhaust HAP/VOC Fraction
0.0004
Hare and Carroll (1993)



Trimmer


2-stroke Exhaust HAP/VOC Fraction
0.0003
Carroll (1991)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.00002
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.00006
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.0003
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.00030900
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.00031500
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.00029700
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.0007
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.00072100
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.00073500
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.00069300
ERG (1999)
Diesel HAP/VOC Fraction
0.00303
Scrabro (2002a,b)
CA Diesel HAP/VOC Fraction
0.00710
Scrabro (2002a,b)

HAP
Toluene
Reference
Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.21244
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.19281
White and Carrol (1998)



Chainsaw


2-stroke Exhaust HAP/VOC Fraction
0.0598
Hare and Carroll (1993)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.06322
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.10672
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.097797
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.081171
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.076282
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.088995
ERG (1999)
2-stroke Evaporative Baseline HAP/VOC Fraction
0.041300
ERG (1999)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
D-12

-------
Table D-l. Speciation Profile for Specific Engines (Continued)
HAP
Toluene
Reference
2-stroke Evaporative RFGAVO MTBE HAP/VOC
Fraction
2-stroke Evaporative RFGAVO Ethanol HAP/VOC
Fraction
0.027671
ERG (1999)
0.019411
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.071842
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.059629
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.056037
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.065376
ERG (1999)
4-stroke Evaporative Baseline HAP/VOC Fraction
0.045067
ERG (1999)
4-stroke Evaporative RFG/WO MTBE HAP/VOC
Fraction
0.030195
ERG (1999)
4-stroke Evaporative RFG/WO Ethanol HAP/VOC
Fraction
0.021181
ERG (1999)
Diesel HAP/VOC Fraction
0.014967
ERG (1999)

HAP
Hexane
Reference
Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.00468
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.00468
White and Carrol (1998)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.00952
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.00946
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.014152
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.014576
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.014859
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.014010
ERG (1999)
2-stroke Evaporative Baseline HAP/VOC Fraction
0.023400
ERG (1999)
2-stroke Evaporative RFG/WO MTBE HAP/VOC
Fraction
0.0086580
ERG (1999)
2-stroke Evaporative RFG/WO Ethanol HAP/VOC
Fraction
0.0095940
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.0099219
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.010220
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.010418
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.0098227
ERG (1999)
4-stroke Evaporative Baseline HAP/VOC Fraction
0.025534
ERG (1999)
4-stroke Evaporative RFG/WO MTBE HAP/VOC
Fraction
0.0094476
ERG (1999)
4-stroke Evaporative RFG/WO Ethanol HAP/VOC
Fraction
0.010469
ERG (1999)
Diesel HAP/VOC Fraction
0.0015913
ERG (1999)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
D-13

-------
Table D-l. Speciation Profile for Specific Engines (Continued)
HAP
ProDionaldehvde
Reference
Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.00046
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.00069
White and Carrol (1998)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.00007
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.00018
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.00024680
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.00025420
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.00025914
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.00024433
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.0018808
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.0019372
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.0019749
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.0018620
ERG (1999)
Diesel HAP/VOC Fraction
0.011815
Scrabro (2002a,b)
CA Diesel HAP/VOC Fraction
0.01120
Scrabro (2002a,b)

HAP
2,2,4-Trimethylpentane
Reference
Snowmobile


2-stroke Exhaust HAP/VOC Fraction
0.068516283
Gabele & Pyle



Inboard


4-stroke Exhaust HAP/VOC Fraction
0.064410866
Gabele & Pyle



Outboard


2-stroke Exhaust HAP/VOC Fraction
0.068516283
Gabele & Pyle



Lawn and Garden


2-stroke Exhaust HAP/VOC Fraction
0.037227275
Hare et. al. 1993
4-stroke Exhaust HAP/VOC Fraction
0.014722579
Hare et. al. 1993



Construction and Agriculture


4-stroke Exhaust HAP/VOC Fraction
0.019253927
Newkirk & Bass 1995



Default


2-stroke Exhaust HAP/VOC Fraction
0.037227275
Hare et. al. 1993
2-stroke Evaporative HAP/VOC Fraction
0.014115385
Speciate 3.1 July 2000
Small 4-stroke Exhaust HAP/VOC Fraction
0.014722579
Hare et. al. 1993
Large 4-stroke Exhaust HAP/VOC Fraction
0.019253927
Newkirk & Bass 1995
4-stroke Evaporative HAP/VOC Fraction
0.014115385
Speciate 3.1 July 2000
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
D-14

-------
Table D-l. Speciation Profile for Specific Engines (Continued)
HAP
2,2,4-Trimethylpentane
Reference
Diesel HAP/VOC Fraction
0.000719235
Newkirk & Bass 1995 and
Truex et. al. 1998
CA Diesel HAP/VOC Fraction
0.00059392
Truex et. al. 1998

HAP
ri7 S-Trnn tfo
Reference
Default


2-Stroke Dioxin/Furan/Fuel Fraction
1.37385E-17 tons TEQ/gal
ERG (1999)
4-Stroke Dioxin/Furan/Fuel Fraction
1.37385E-17 tons TEQ/gal
ERG (1999)
Diesel Dioxin/Furan/Fuel Fraction
1 90705F.- I4 Ions TF.O/wil
ERG (1999^1

HAP
Xylenes
Reference
Snowmobile


2-stroke Exhaust Baseline HAP/VOC Fraction
0.01485
White and Carrol (1998)
2-stroke Exhaust RFG-Ethanol HAP/VOC Fraction
0.01776
White and Carrol (1998)



Chainsaw


2-stroke Exhaust HAP/VOC Fraction
0.0931
Hare and Carroll (1993)



Outboard/Pleasure Craft


2-stroke Exhaust RFG HAP/VOC Fraction
0.08069
Gabele and Pyle
4-stroke Exhaust RFG HAP/VOC Fraction
0.09417
Gabele and Pyle



Default


2-stroke Exhaust Baseline HAP/VOC Fraction
0.10749
ERG (1999)
2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.089214
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.083840
ERG (1999)
2-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.097813
ERG (1999)
2-stroke Evaporative Baseline HAP/VOC Fraction
0.022300
ERG (1999)
2-stroke Evaporative RFG/WO MTBE HAP/VOC
Fraction
0.018732
ERG (1999)
2-stroke Evaporative RFG/WO Ethanol HAP/VOC
Fraction
0.01819
ERG (1999)
4-stroke Exhaust Baseline HAP/VOC Fraction
0.067799
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.056273
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.052883
ERG (1999)
4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction
0.061697
ERG (1999)
4-stroke Evaporative Baseline HAP/VOC Fraction
0.024334
ERG (1999)
4-stroke Evaporative RFG/WO MTBE HAP/VOC
Fraction
0.020440
ERG (1999)
4-stroke Evaporative RFG/WO Ethanol HAP/VOC
Fraction
0.012897
ERG (1999)
Diesel HAP/VOC Fraction
0.010582
ERG (1999)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
D-15

-------
Table D-l. Speciation Profile for Specific Engines (Continued)
HAP
Methvl tert-butvl ether
Reference
Outboard/Pleasure Craft


2-stroke Exhaust RFG-MTBE HAP/VOC Fraction
0.08157
Gabele and Pyle



Default


2-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.1241
ERG (1999)
2-stroke Exhaust WO MTBE HAP/VOC Fraction
0.1693
ERG (1999)
2-stroke Evaporative RFG MTBE HAP/VOC Fraction
0.1397
ERG (1999)
2-stroke Evaporative WO MTBE HAP/VOC Fraction
0.1397
ERG (1999)
4-stroke Exhaust RFG MTBE HAP/VOC Fraction
0.1354
ERG (1999)
4-stroke Exhaust WO MTBE HAP/VOC Fraction
0.1847
ERG (1999)
4-stroke Evaporative RFG MTBE HAP/VOC Fraction
0.1524
ERG (1999)
4-stroke Evaporative WO MTBE HAP/VOC Fraction
0.1524
ERG (1999)
Table D-2. PAH Speciation Profile for Other nonroad Equipment
PAH
2-stroke
4-stroke
Diesel*
Fraction of PM10
Fraction of PM10
Fraction of PM10
B enz [a] Anthracene
0.000034
0.00010
0.0000071
Bcnzo|a| P\rc nc
0.000029
0.00010
0.00000035
Benzo [b]Fluoranthene
0.000016
0.00012
0.00000049
Benzo [k]Fluoranthene
0.000014
0.00012
0.00000035
Chrysene
0.000021
0.00010
0.0000019
Dibenzo [a,h] Anthracene
0.000001
0.00000
0.0000000029
I ndc no 11.2.3 -c. d | P v rc nc
0.000035
0.00008
0.000000079
Acenaphthene
0.000002
0.00073
0.0001
Acenaphthylene
0.000075
0.00412
0.000084
Anthracene
0.000067
0.00085
0.00000043
Benzo|g,h,i,lPerylene
0.000116
0.00026
0.00000019
Fluoranthene
0.000267
0.00091
0.000017
Fluorene
0.000239
0.00151
0.0001
Naphthalene
0.000004
0.09073
0.00046
Phenanthrene
0.000208
0.00254
0.00026
Pyrene
0.000318
0.00124
0.0000029
* Takes into consideration spill over effect.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd

-------
Table D-3. Specific Metal Speciation Profile for Other Nonroad Equipment
Metal
Chromium
Reference
Default


2-Stroke Metal/Fuel Fraction*
0.00010638 g/gal
Ball (1997)
4-Stroke Metal/Fuel Fraction*
0.00010638 g/gal
Ball (1997)
Diesel Metal/Activity Fraction**
0.03 ug/Bhp-hr
Truex (1998)
Note: Chromium was later speciated into Chromium HI and Chromium VI using the ratios, 0.66
and 0.34 respectively.
Metal
Manganese
Reference
Default


2-Stroke Metal/Fuel Fraction3
0.000035604 g/gal
Ball (1997)
4-Stroke Metal/Fuel Fraction3
0.000035604 g/gal
Ball (1997)
Diesel Metal/Activity Fractionb
1.37 ug/Bhp-hr
Truex (1998)

Metal
Nickel
Reference
Default


2-Stroke Metal/Fuel Fraction3
0.000077486 g/gal
Ball (1997)
4-Stroke Metal/Fuel Fraction3
0.000077486 g/gal
Ball (1997)
Diesel Metal/Activity Fractionb
2.035 ug/Bhp-hr
Truex (1998)
a Combined average represents a weighted average of the US06 and UDDS emission factors for each vehicle (the weighting being
28% for the US06 factor, and 72% for the UDDS factor) and a subsequent straight average between the two weighted averages for
each.
¦"Conversion factor of 21.5 miles/gal used (E-mail from Rich Cook "Metal Emission and PAH -reply" 3/7/02)
*Sample Calculation:
EF by fuel = Average of ((US06 EF * 0.28)+ (UDDS EF * 0.72)) Conversion factor
Chromium EF by fuel = (((0.9 ug/mile * 0.28)^(8.5 ug/mile * 0.72))f((4.1 ug/mile * 0.28)+(3.3 ug/mile * 0.72)))
/2 * (21.5 miles/gal / 1000000 ug/g)
= 0.000106382 g/gal
b Emission Factor is the average of cold start and hot start emission factors
c Emission Factors based on detection limits and conversion factor of 21.5 miles/gal (E-mail from Rich Cook "Metal Emission and
PAH -reply" 3/7/02)
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References:
Carroll, J.N. Emission Tests of In-use Small Utility Engines: Task in Report, Non-road Source
Emission Factors Improvement. Prepared for U.S. EPA by Southwest Research Institute. Report
SwRI 3426-0006, 1991.
Censullo, Albert C., Ph. D. Development of Species for Selected Organic Emission Sources.
California Polytechnic State University. San Luis Obispo, CA. April 30, 1991.
Cook, Rich and Joe Somers. Memorandum entitled Revised Methodology and Emission Factors for
Estimating Mobile Source PAH Emissions in the National Toxics Inventory, to Laurel Driver and
Anne Pope, U.S. EPA Office of Air Quality Planning and Standards. U.S. EPA Office of
Transportation and Air Quality. Ann Arbor, MI. June 11, 2001.
Gabele, Peter and Steven M. Pyle, Emissions from Tow Outboard Engines Operating on
Reformulated Fuel Containing MTBE, U.S. EPA.
Hare, C.T. and J.J. White. 1991. Toward the Environmentally Friendly Small Engine: Fuel,
Lubricant, and Emission Measurement Issues. SAE Paper No. 9 11222.
Hare, C.T. and J.N. Carroll. 1993. Speciation of Organic Emissions to Study Fuel Dependence of
Small Engine Exhaust Photochemical Reactivity. Report for Advisory Committee for Research,
Southwest Research Institute, July 1993.
Scarbro, Carl. E-mail entitled Revised Emission Factors for Nonroad CI Engines to Richard
Billings, Eastern Research Group, Inc., U.S. EPA Office of Transportation and Air Quality. April
23, 2002.
Scarbro, Carl. E-mail entitled Activity as National andSCC-Reply to Roger Chang, Eastern
Research Group, Inc., U.S. EPA Office of Transportation and Air Quality. April 25, 2002b.
Scarbro, Carl. E-mail entitled Non-trimethylpentane Estimate-Reply to Richard Billings and Roger
Chang, Eastern Research Group, Inc., U.S. EPA Office of Transportation and Air Quality. June 12,
2002c.
White, Jeff J. and James N. Carroll. Emissions from Snowmobile Engines Using Bio-based Fuels
and Lubricants. State of Montana Department of Environmental Quality, Helena, MO. October
1998.
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Appendix E
State Database Summary Sheets for Draft NEI

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Aircraft
jt\0179.02.001.001\nonroad vol-I-rv3.wpd	E-1

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Alabama
State/Local Agency Name: Alabama Department of Environmental Management
Contact Name, Address, Phone Number, Email:
LisaB. Cole
lbcolea@adem. state, al.us
(334) 270-5615
Counties Included/Number in State: 66 out of 67
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM25-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-2

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Arizona, Maricopa County
State/Local Agency Name: MARICOPA
Contact Name, Address, Phone Number, Email:
Bob Downing
bdowning@mail.maricopa.gov
(602) 506-6790
Counties Included/Number in State: 1 out of 15
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
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E-3

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Arkansas
State/Local Agency Name: Arkansas Department of Environmental Quality
Contact Name, Address, Phone Number, Email:
Ron Hoofman
hoofman@adeq.state.ar.us
(501)682-0537
Counties Included/Number in State: 74 out of 75
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NH3, NOx, PM10-PRI, PM2 5-PRI, S02, VOC, and Lead
# of HAPs in File: 1
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-4

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: California
State/Local Agency Name: California Air Resources Board
Contact Name, Address, Phone Number, Email:
Andy Alexis
aalexi s@arb. ca. gov
(916)323-1085
Counties Included/Number in State:55 (Criteria) and 53 (HAPS) out of 58
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acetaldehyde, Acrolein, Arsenic, Benzene, Cadmium,
Chlorine, Chromium, Cobalt, Cumene, Ethyl Benzene, Formaldehyde, Hexane, Lead, Manganese,
Methyl Ethyl Ketone, Methyl Tert-Butyl Ether, Naphthalene, Nickel, o-Xylene,
Phenol, Propionaldehyde, Selenium, Styrene, Toluene
# of HAPs in File: 26 HAPs
General Comments on File, if any:
SCC's were updated to reflect current SCC's using EPA crosswalk table.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-5

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: California
State/Local Agency Name: California Air Resources Board
Contact Name, Address, Phone Number, Email:
Andy Alexis
aalexi s@arb. ca. gov
(916)323-1085
Counties Included/Number in State: 55 out of 58
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics: Both
•	of HAPs in file: 40 HAPs
Resolution:
•	Replaced estimates with state submitted data for HAP and criteria emissions.
•	Did not use state submitted estimates for HAPs that are not on the list of 188.
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Colorado
State/Local Agency Name: Colorado APCD
Contact Name, Address, Phone Number, Email:
Dale M. Wells
dale.wells@state.co.us
(303) 692-3237
Counties Included/Number in State: 45 out of 64
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-7

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Connecticut
State/Local Agency Name: CT DEP
Contact Name, Address, Phone Number, Email:
Steven Potter
Steven. potter@po. state, ct.us
(860) 424-3384
Counties Included/Number in State: 8 out of 8
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Delaware
State/Local Agency Name: Delaware Air Quality Management, DNREC
Contact Name, Address, Phone Number, Email:
David Fees
david.fees@state.de.us
(302) 739-4791
Counties Included/Number in State: 3 out of 3
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
1,3-Butadiene, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein, Anthracene,
Benz[a] Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene, Benzo[g,h,i,]Perylene,
Benzo[k]Fluoranthene, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde,
Indeno[l,2,3-c,d]Pyrene, Naphthalene, Phenanthrene, Pyrene, Styrene, Toluene, Xylenes (Mixture
of o, m, and p Isomers)
# of HAPs in File: 24 HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Florida (Pinellas County)
State/Local Agency Name: Pinellas County Department of Environmental Management
Contact Name, Address, Phone Number, Email:
Bob Soptei
bsoptei@co.pinellas.fi.us
(727) 464-4422
Counties Included/Number in State: 1 out of 68
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM25-PRI, PM-PRI, S02, and VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein,
Anthracene, Benz[a]Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene,
Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Chrysene, Dibenzo[a,h]Anthracene, Ethyl Benzene,
Fluoranthene, Fluorene, Formaldehyde, Hexane, Indeno[l,2,3-c,d]Pyrene, Lead & Compounds,
Naphthalene, Phenanthrene, Phenol, Propionaldehyde, Pyrene, Styrene, Toluene, Xylenes
# of HAPs in File: 30 HAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Georgia
State/Local Agency Name: Georgia Environmental Protection Division
Contact Name, Address, Phone Number, Email:
Scott South wick
scott_southwick@dnr. state, ga.us
(404) 362-4569
Counties Included/Number in State: 131 out of 159
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-ll

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Idaho
State/Local Agency Name: DEQ
Contact Name, Address, Phone Number, Email:
Gary Reinbold
greinbol@deq. state, id.us
(208)373-0253
Counties Included/Number in State: 41 out of 44
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Kentucky (Jefferson County)
State/Local Agency Name: Louisville Metro APCD
Contact Name, Address, Phone Number, Email:
Gary Flispart
Garv.Flispart@loukvmetro.org
(502) 574-6000
Counties Included/Number in State: 1 out of 120
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-13

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Louisiana
State/Local Agency Name: Department of Environmental Quality
Contact Name, Address, Phone Number, Email:
Elizabeth McDearman
elizabethm@deq. state, la.us
(225) 765-0303
(225) 765-0617 (fax)
Counties Included/Number in State: 1 out of 64
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics: Criteria
•	of HAPs in file: None
General Comments on File, if Any: Only submitted data for one county in state for aircraft.
Resolution:
•	Replaced estimates with state submitted data for VOC and NOx emissions.
•	Did not append zero emission records into file.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Maryland
State/Local Agency Name: Maryland Department of Environment
Contact Name, Address, Phone Number, Email:
Roger Thunell
rthunell@mde. state.md.us
(410) 537-3273
Counties Included/Number in State: 24 out of 24
Inventory Year: 2002
Inventory Type-Criteria, Toxics, both: Criteria
# of HAPs in file: No HAPs
Comments:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-15

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Maryland
State/Local Agency Name: Maryland Department of Environment
Contact Name, Address, Phone Number, Email:
Leif Hockstad
lhockstad@mde. state, md.us
(410) 631-3277
(410) 631-3202 (fax)
Counties Included/Number in State: 24 out of 24
Inventory Year: 1999
Inventory Type-Criteria, Toxics, both: Criteria
#	of HAPs in file: No HAPs
Comments:
•	Replaced estimates with state submitted data for HAP emissions.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-16

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Massachusetts
State/Local Agency Name: Massachusetts DEP
Contact Name, Address, Phone Number, Email:
Kenneth Santlal
kenneth.santlal@state.ma.us
(617) 292-5776
Counties Included/Number in State: 14 out of 14
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-17

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Michigan
State/Local Agency Name: Michigan Dept of Environmental Quality
Contact Name, Address, Phone Number, Email:
Allan Ostrander
ostranda@state.mi.us
(517) 335-2717
Counties Included/Number in State: 83 out of 83
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-18

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Minnesota
State/Local Agency Name: Minnesota Air Pollution Control Agency
Contact Name, Address, Phone Number, Email:
Chun Yi Wu
Minnesota Air Pollution Control Agency
chun.vi.wu@pca. state.mn.us
(651)282-5855
Counties Included/Number in State: 65 out of 87
Inventory Y ear: 1999
Inventory Type - Criteria, toxics, both: Toxics
1,3-Butadiene, 2,2,4-Trimethylpentane, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein,
Anthracene, Benz[a]Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene,
Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene,
Formaldehyde, Hexane, Indeno[l,2,3-c,d]Pyrene, Lead, Naphthalene, Phenanthrene,
Propionaldehyde, Pyrene, Styrene, Toluene, Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 28
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-19

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Mississippi
State/Local Agency Name: Mississippi DEQ
Contact Name, Address, Phone Number, Email:
Keith Head
keith_head@deq. state.ms.us
(601)961-5577
Counties Included/Number in State: 36 out of 82
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-20

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Nebraska
State/Local Agency Name: Lincoln-Lancaster County Health Dept.
Contact Name, Address, Phone Number, Email:
Charles Riley
crilev@ci.lincoln.ne.us
(402) 441-6202
(402) 441-8323 (fax)
Counties Included/Number in State: 1 out of 93
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics, both: Criteria
•	of HAPs in file: None
General Comments on File, if Any: Only submitted data for one county in state for aircraft.
Resolution:
•	Replaced estimates with state submitted data for VOC, NOx, CO, SOx, PM10-PRI emissions.
•	Did not append zero emission records into file.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: New Hampshire
State/Local Agency Name: New Hampshire Dept. of Environmental Services Air Resources
Division
Contact Name, Address, Phone Number, Email:
David Healy
dhealv@des. state, nh. us
(603)271-0871
Counties Included/Number in State: 10 out of 10
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, S02, VOC
1,3-Butadiene, Acetaldehyde, Acrolein, Benzene, Ethyl Benzene, Formaldehyde, Hexane,
Naphthalene, Polycyclic Organic Matter, Propionaldehyde, Styrene, Toluene, and Xylenes (Mixture
of o, m, and p Isomers)
# of HAPs in File: 13 HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: New Jersey
State/Local Agency Name: NJ Department of Environmental Protection
Contact Name, Address, Phone Number, Email:
John Gorgol
i ohn. gorgol@dep. state.ni .us
(609) 292-1413
Counties Included/Number in State: 21 out of 21
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-23

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Nevada (Clark County)
State/Local Agency Name: DAQM
Contact Name, Address, Phone Number, Email:
Ebrahim Juma
iuma@co.clark.nv.us
(702)455-1621
Counties Included/Number in State: 1 out of 17
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM-PRI, S02, VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-24

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: North Carolina
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 48 out of 100
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-25

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Oregon
State/Local Agency Name: ODEQ
Contact Name, Address, Phone Number, Email:
Jeffrey Stocum
stocum.ieffrev@deq.state.or.us
(503) 229-5506
Counties Included/Number in State: 35 out of 36
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
1,3-Butadiene, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein, Anthracene,
Benz[a] Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene, Benzo[g,h,i,]Perylene,
Benzo[k]Fluoranthene, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde, Hexane,
Indeno[l,2,3-c,d]Pyrene, Naphthalene, Phenanthrene, Phenol, Propionaldehyde, Pyrene, Styrene,
Toluene, Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 27 HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Pennsylvania
State/Local Agency Name: PA DEP BAQ
Contact Name, Address, Phone Number, Email:
Robert Altenburg
raltenburg@state.pa.us
(717) 787-9495
Counties Included/Number in State: 8 out of 67
Inventory Year: 1999
Inventory Type-Criteria, Toxics, both: Criteria
# of HAPs in file: None
General Comments on File, if Any: State submitted only OSD estimates
Resolution:
Replaced EPA based OSD emission estimates with State submitted emission estimates
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-27

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Puerto Rico and the Virgin Islands
State/Local Agency Name: Region II
Contact Name, Address, Phone Number, Email:
Raymond Forde
EPA Region II
NY, NY
Forde.ravmond@epamail.epa.gov
Counties Included/Number in State:
Inventory Year: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File: 13
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-28

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Rhode Island
State/Local Agency Name: RIDEM
Contact Name, Address, Phone Number, Email:
Karen Slattery
karen. si atterv@ dem. ri. gov
(401)222-2808
Counties Included/Number in State: 5 out of 5
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: South Carolina
State/Local Agency Name: South Carolina DHEC
Contact Name, Address, Phone Number, Email:
Bob Betterton
SC DHEC
Columbia, SC
betterri @columb31 .dhec. state, sc.us
Counties Included/Number in State:
Inventory Year: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: South Carolina
State/Local Agency Name: South Carolina DHEC
Contact Name, Address, Phone Number, Email:
Lynn Allen
(803) 898-4069
(803) 898-4117 (fax)
Counties Included/Number in State: 43 out of 46
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria
•	of HAPs in File: None
General Comments on File, if any:
•	Replaced estimates with state submitted data for HC, NOx, CO, SOx emissions. Converted
HC emissions to VOC emissions.
•	Did not append zero emission records into file.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Tennessee
State/Local Agency Name: TDEC APC
Contact Name, Address, Phone Number, Email:
James R. Redus
Ron.Redus@state.tn.us
(615)532-0577
Counties Included/Number in State: 49 out of 95
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-32

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Tennessee (Nashville/Davidson County)
State/Local Agency Name: Metro Public Health Department Nashville/Davidson Cty
Contact Name, Address, Phone Number, Email:
Laura Artates
laura.artates@nashville. gov
(615)340-5653
Counties Included/Number in State: 1 out of 95
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-33

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Tennessee
State/Local Agency Name: CHCAPCB
Contact Name, Address, Phone Number, Email:
Heather Sandner
sandner_h@mail. chattanooga. gov
(423) 867-4321
(423) 867-4348 (fax)
Counties Included/Number in State: 1 out of 95
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics, both: Criteria
•	of HAPs in file: None
General Comments on File, if Any: Only submitted data for one county in state for aircraft.
•	Replaced estimates with state submitted data for HC, NOx, CO, SOx emissions. Converted
HC emissions to VOC emissions.
•	Did not append zero emission records into file.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-34

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Texas
State/Local Agency Name: TCEQ
Contact Name, Address, Phone Number, Email:
Melinda Torres
Metorres@tceq. state.tx.us
(512) 239-0058
Counties Included/Number in State: 167 out of 254
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PMI0-FIL, PM10-PRI, PM25-PRI, S02, VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-35

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Texas
State/Local Agency Name: Texas Natural Resource Conservation Committee
Contact Name, Address, Phone Number, Email:
Charlie Rubrick
crubick@tnrcc. state, tx. us
512-239-1478
Counties Included/Number in State: 15 out of 254
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics, both: Criteria
#	of HAPs in file: None
General Comments on File, if Any:
Resolution:
•	Replaced EPA based emission estimates with State submitted emission estimates
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-36

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Utah
State/Local Agency Name: Utah Division of Air Quality
Contact Name, Address, Phone Number, Email:
Carol A. Nielsen
cani el sen@utah. gov
(801)536-4073
(801) 536-0085 (fax)
Counties Included/Number in State: 29 out of 29
Inventory Year: 2002
Inventory Type-Criteria, Toxics, both: Criteria
#	of HAPs in file: None
General Comments on File, if Any:
•	Corrected invalid pollutant codes
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-37

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Utah
State/Local Agency Name: Utah Division of Air Quality
Contact Name, Address, Phone Number, Email:
Carol A. Nielsen
cani el sen@utah. gov
(801)536-4073
(801) 536-0085 (fax)
Counties Included/Number in State: 29 out of 29
Inventory Year: 1999
Inventory Type-Criteria, Toxics, both: Criteria
•	of HAPs in file: None
General Comments on File, if Any:
•	Utah incorrectly coded emissions as daily instead of annual. Corrected file to reflect correct
annual emissions.
Resolution:
•	Corrected emission type code.
•	Replaced estimates with state submitted data for VOC, NOx, CO, SOx, PM10-PRI, and NH3
emissions.
•	Did not append zero emission records into file.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Virginia
State/Local Agency Name: Virginia Department of Environmental Quality
Contact Name, Address, Phone Number, Email:
Thomas C. Foster
tcfoster@deq. state, va.us
(804) 698-4411
Counties Included/Number in State: 136 out of 136
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-39

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Wisconsin
State/Local Agency Name: Wisconsin Department of Natural Resources
Contact Name, Address, Phone Number, Email:
Grant Hetherington
ww.dnr.state.wi.us
(608) 267-7539
Counties Included/Number in State: 72 out of 72
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acenaphthene, Acetaldehyde, Acrolein, Anthracene,
Benz[a] Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene, Benzo[g,h,i,]Perylene,
Benzo[k]Fluoranthene, Chrysene, Dibenzo[a,h] Anthracene, Ethyl Benzene, Formaldehyde,
Indeno[l,2,3-c,d]Pyrene, Naphthalene, Phenol, Propionaldehyde, Pyrene, Styrene, Toluene, Xylenes
(Mixture of o, m, and p Isomers), and o-Xylene.
# of HAPs in File: 24 HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-40

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: West Virginia
State/Local Agency Name: WVDEP Division of Air Quality
Contact Name, Address, Phone Number, Email:
David Porter
dporter@wvdep. org
(304) 926-3647
Counties Included/Number in State: 17 out of 55
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-41

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STATE DATABASE SUMMARY REPORT
Source Category: Aircraft
State: Wisconsin
State/Local Agency Name: Wisconsin Department of Natural Resources
Contact Name, Address, Phone Number, Email:
Grant D. Hetherington
hetheg@dnr. state, wi.us
(608) 267-7539
(608) 267-0560
Counties Included/Number in State: 13 out of 72
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics, both: Criteria
•	of HAPs in file: None
General Comments on File, if Any:
•	State submitted both annual and daily emission estimates.
Resolution:
•	Replaced estimates with state submitted data for VOC, NOx, CO emissions.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-42

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Commercial Marine Vessels
jt\0179.02.001.001\nonroad vol-I-rv3.wpd	E_43

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Alabama
State/Local Agency Name: Alabama Department of Environmental Management
Contact Name, Address, Phone Number, Email:
LisaB. Cole
lbcolea@adem. state, al.us
(334) 270-5615
Counties Included/Number in State: 32 out of 67
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-44

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Alabama
State/Local Agency Name: Emission Factor Inventory Group
Contact Name, Address, Phone Number, Email:
Doug Solomon, US EPA
solomon.douglas@epa.gov
(919)541-4132
Counties Included/Number in State: 45 out of 67
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics, both: Criteria
•	of HAPs in file: None
General Comments on File, if Any:
•	State submitted emission estimates for commercial marine vessels
Resolution:
•	Replaced EPA emission estimates with State submitted emission estimates
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-45

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Alaska
State/Local Agency Name: Alaska Department of Environmental Conservation
Contact Name, Address, Phone Number, Email:
Alice Edwards /Joan Kassel
Alaska Department of Environmental Conservation
410 Willoughby Ave. Suite 105
Juneau,. AK 99801
aedwards@envircon. state, ak.us
ikassel@envircon. state, ak.us
Alice (907) 465-5109
Joan (907) 465-5129
Counties Included/Number in State: added 23 port
Inventory Y ear: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-46

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Arkansas
State/Local Agency Name: Arkansas Department of Environmental Quality
Contact Name, Address, Phone Number, Email:
Ron Hoofman
hoofman@adeq.state.ar.us
(501)682-0537
Counties Included/Number in State: 27 out of 75
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, nh3, nox, pm10-pri, pm2 5-pri, so2, voc
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-47

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: California
State/Local Agency Name: California Air Resources Board
Contact Name, Address, Phone Number, Email:
Andy Alexis
aalexi s@arb. ca. gov
(916)323-1085
Counties Included/Number in State: 21 out of 58
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acetaldehyde, Acrolein, Antimony, Arsenic, Benzene,
Cadmium, Chlorine, Chlorobenzene, Chromium, Cobalt, Cumene, Ethyl Benzene, Formaldehyde,
Hexane, Lead, Manganese, Mercury, Methanol, Methyl Ethyl Ketone, Methyl Tert-Butyl Ether, m-
Xylene, Naphthalene, Nickel, o-Xylene, Phosphorus, Propionaldehyde, p-Xylene, Selenium,
Styrene, Toluene
# of HAPs in File: 32 HAPs
General Comments on File, if any:
Submitted pollutant code 1151. Not on EPA list of pollutants for HAPs.
SCC's were updated to reflect current SCC's using EPA crosswalk table.
Pollutant codes were updated to reflect current pollutant code.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-48

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: California
State/Local Agency Name: California Air Resources Board
Contact Name, Address, Phone Number, Email:
Andy Alexis
aalexi s@arb. ca. gov
(916)323-1085
Counties Included/Number in State: 21 out of 58
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics, both: Both
•	of HAPs in file: 50 HAPs
General Comments on File, if Any:
•	Replaced estimates with state submitted data for HAP and criteria emissions.
•	Did not use state submitted estimates for HAPs that were not on the list of 188.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-49

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Connecticut
State/Local Agency Name: CT DEP
Contact Name, Address, Phone Number, Email:
Steven Potter
Steven. potter@po. state, ct.us
(860) 424-3384
Counties Included/Number in State: 8 out of 8
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-50

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Delaware
State/Local Agency Name: Delaware Air Quality Management, DNREC
Contact Name, Address, Phone Number, Email:
David Fees
david.fees@state.de.us
(302) 739-4791
Counties Included/Number in State: 3 out of 3
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, nh3, nox, pm10-pri, pm2 5-pri, so2, voc
1.2.3.4.6.7.8-Heptachlorodibenzofuran,	1,2,3,4,6,7,8-Heptachlorodibenzo-p-Dioxin,
1.2.3.4.7.8.9-Heptachlorodibenzofuran,	1,2,3,4,7,8-Hexachlorodibenzofuran,
1,2,3,4,7,8-Hexachlorodibenzo-p-Dioxin, 1,2,3,6,7,8-Hexachlorodibenzofuran,
1.2.3.6.7.8-Hexachlorodibenzo-p-Dioxin,	1,2,3,7,8,9-Hexachlorodibenzofuran,
1.2.3.7.8.9-Hexachlorodibenzo-p-Dioxin,	1,2,3,7,8-Pentachlorodibenzofuran,
1,2,3,7,8-Pentachlorodibenzo-p-Dioxin, 1,3-Butadiene,
2,3,4,6,7,8-Hexachlorodibenzofuran, 2,3,4,7,8-Pentachlorodibenzofuran,
2,3,7,8-Tetrachlorodibenzofuran, 2,3,7,8-Tetrachlorodibenzo-p-Dioxin,
Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein, Anthracene, Benz[a]Anthracene, Benzene,
Benzo[a]Pyrene, Benzo[b]Fluoranthene, Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Beryllium,
Cadmium, Chromium IV, Chrysene, Dibenzo[a,h]Anthracene, Ethyl Benzene,
Fluoranthene, Fluorene, Formaldehyde, Indeno[l,2,3-c,d]Pyrene, Lead, Manganese, Naphthalene,
Nickel, Octachlorodibenzofuran, Octachlorodibenzo-p-Dioxin, Phenanthrene, Pyrene, Styrene,
Toluene, Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 48 HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-51

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Georgia
State/Local Agency Name: Georgia Environmental Protection Division
Contact Name, Address, Phone Number, Email:
Scott South wick
scott_southwick@dnr. state, ga.us
(404) 362-4569
Counties Included/Number in State: 22 out of 159
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-52

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Indiana
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 3 out of 92
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NH3, NOx, PM10-PRI, PM2 5-PRI, PM-PRI, S02, and VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
SCC's were updated to reflect current SCC's using EPA crosswalk table.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-53

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Kentucky
State/Local Agency Name: Louisville Metro APCD
Contact Name, Address, Phone Number, Email:
Gary Flispart
Garv.Flispart@loukvmetro.org
(502) 574-6000
Counties Included/Number in State: 1 out of 120
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-54

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Maine
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 7 out of 16
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
16-PAH, 2,2,4-Trimethylpentane, 7-PAH, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein,
Anthracene, Benz[a]Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene,
Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Beryllium, Cadmium, Chromium (VI), Chromium
HI, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde, Hexane, Lead, Manganese,
Naphthalene, Nickel, Phenanthrene, Propionaldehyde, Pyrene, Selenium, Styrene, Toluene, Xylenes
(Mixture of o, m, and p Isomers)
# of HAPs in File: 35 HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-55

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Maryland
State/Local Agency Name: Maryland Department of the Environment
Contact Name, Address, Phone Number, Email:
Roger Thunell
rthunell@mde. state.md.us
(410) 537-3273
Counties Included/Number in State: 1 out of 24
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-56

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Maryland
State/Local Agency Name: Maryland Department of Environment
Contact Name, Address, Phone Number, Email:
Leif Hockstad
lhockstad@mde. state, md.us
(410) 631-3277
(410) 631-3202 (fax)
Counties Included/Number in State: 24 out of 24
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics, both: Toxics
#	of HAPs in file: 17HAPs
General Comments on File, if Any:
•	Replaced estimates with state submitted data for HAP emissions.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-57

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Massachusetts
State/Local Agency Name: Massachusetts DEP
Contact Name, Address, Phone Number, Email:
Kenneth Santlal
kenneth.santlal@state.ma.us
(617) 292-5776
Counties Included/Number in State: 14 out of 14
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-58

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Michigan
State/Local Agency Name: Michigan DEQ Air Quality
Contact Name, Address, Phone Number, Email:
Allan Ostrander
ostranda@mi chi gan. gov
(517) 335-2717
Counties Included/Number in State: 83 out of 83
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NH3, NOx, PM10-PRI, PM2 5-PRI, PM-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-59

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Minnesota
State/Local Agency Name: Minnesota Air Pollution Control Agency
Contact Name, Address, Phone Number, Email:
Chun Yi Wu
Minnesota Air Pollution Control Agency
chun.vi.wu@pca. state.mn.us
(651)282-5855
Counties Included/Number in State: 3 out of 87
Inventory Y ear: 1999
Inventory Type - Criteria, toxics, both: Toxics
16-PAH, 2,2,4-Trimethylpentane, 7-PAH, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein,
Anthracene, Arsenic, Benz[a]Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene,
Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Beryllium, Cadmium, Chromium (VI), Chromium
HI, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde, Hexane, Indeno[l,2,3-
c,d]Pyrene, Lead, Manganese, Mercury, Naphthalene, Nickel, Phenanthrene, Propionaldehyde,
Pyrene, Selenium, Styrene, Toluene, Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 38
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-60

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Mississippi
State/Local Agency Name: Template
Contact Name, Address, Phone Number, Email:
Keith Head
keith_head@deq. state.ms.us
(601)961-5577
Counties Included/Number in State: 27 out of 82
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-61

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: New Jersey
State/Local Agency Name: NJ Department of Environmental Protection
Contact Name, Address, Phone Number, Email:
John Gorgol
i ohn. gorgol@dep. state.ni .us
(609) 292-1413
Counties Included/Number in State: 21 out of 21
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-62

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: New York
State/Local Agency Name: NYSDEC DIVISION OF AIR RESOURCES BAQP/MSS
Contact Name, Address, Phone Number, Email:
Kevin P. Mcgarry
kpmcgarr@gw.dec. state.nv.us
(518) 402-8396
Counties Included/Number in State: 30 out of 62
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
Pollutant codes were updated to reflect current EPA pollutant codes.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-63

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: North Carolina
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 30 out of 100
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-64

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Ohio
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 8 out of 88
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NH3, NOx, PM10-PRI, PM2 5-PRI, PM-PRI, S02, and VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
SCC's were updated to reflect current SCC's using EPA crosswalk table.
Pollutant codes were updated to reflect current EPA pollutant codes.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-65

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Oregon
State/Local Agency Name: ODEQ
Contact Name, Address, Phone Number, Email:
Jeffrey Stocum
stocum.ieffrev@deq.state.or.us
(503) 229-5506
Counties Included/Number in State: 10 out of 36
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
NOx, PM10-PRI, PM2 5-PRI, and VOC
Acrolein, Arsenic, Chromium, Ethyl Benzene, Hexane, Manganese, Nickel, Propionaldehyde,
Styrene, Toluene, Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 11 HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
Pollutant codes were updated to reflect current EPA pollutant codes.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-66

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Pennsylvania
State/Local Agency Name: PA DEP BAQ
Contact Name, Address, Phone Number, Email:
Robert Altenburg
raltenburg@state.pa.us
717-787-9495
Counties Included/Number in State: 11 out of 67
Inventory Year: 1999
Inventory Type-Criteria, Toxics, both: Criteria
#	of HAPs in file: None
General Comments on File, if Any: State submitted only OSD estimates
Resolution:
•	Replaced EPA based OSD emission estimates with State submitted emission estimates
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-67

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Puerto Rico and the Virgin Islands
State/Local Agency Name: Region II
Contact Name, Address, Phone Number, Email:
Raymond Forde
EPA Region II
NY, NY
Forde.ravmond@epamail.epa.gov
Counties Included/Number in State:
Inventory Year: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File: 20
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-68

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Rhode Island
State/Local Agency Name: RIDEM
Contact Name, Address, Phone Number, Email:
Karen Slattery
karen. si atterv@ dem. ri. gov
(401)222-2808
Counties Included/Number in State: 5 out of 5
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-69

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Tennessee
State/Local Agency Name: TDEC APC
Contact Name, Address, Phone Number, Email:
James R. Redus
ron.redus@state.tn.us
(615)532-0577
Counties Included/Number in State: 31 out of 95
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-70

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Tennessee (Nashville/Davidson County)
State/Local Agency Name: Metro Public Health Department Nashville/Davidson Cty
Contact Name, Address, Phone Number, Email:
Laura Artates
laura.artates@nashville. gov
(615)340-5653
Counties Included/Number in State: 1 out of 95
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-71

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Texas
State/Local Agency Name: TCEQ
Contact Name, Address, Phone Number, Email:
Melinda Torres
Metorres@tceq. state.tx.us
(512) 239-0058
Counties Included/Number in State: 19 out of 254
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
16-PAH, 7-PAH, Acetaldehyde, Acrolein, Arsenic & compounds, Benzene, Beryllium, Cadmium,
Chromium, Chromium & Compounds, Ethyl Benzene, Formaldehyde, Hexane, Lead, Manganese &
Compounds, Nickel, Nickel& Compounds, Propionaldehyde, Selenium, Styrene, Toluene, Xylenes
(Mixture of o, m, and p Isomers)
# of HAPs in File: 22 HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-72

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Texas
State/Local Agency Name: Texas Natural Resource Conservation Committee
Contact Name, Address, Phone Number, Email:
Charlie Rubrick
crubick@tnrcc. state, tx. us
(512) 239-1478
Counties Included/Number in State: 6 out of 254
Inventory Year: 1999
Inventory Type-Criteria, Toxics, both: Criteria
#	of HAPs in file: None
General Comments on File, if Any:
Resolution:
•	Replaced EPA based emission estimates with State submitted emission estimates
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-73

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Virginia
State/Local Agency Name: Virginia Department of Environmental Quality
Contact Name, Address, Phone Number, Email:
Thomas C. Foster
tcfoster@deq. state, va.us
(804) 698-4411
Counties Included/Number in State: 136 out of 136
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-74

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Washington
State/Local Agency Name: WA Department of Ecology
Contact Name, Address, Phone Number, Email:
Sally Otterson
sott461 @ecv. wa. gov
(360) 407-6806
Counties Included/Number in State: 30 out of 39
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, nh3, nox, pm10-pri, pm2 5-pri, so2, voc
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-75

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: West Virginia
State/Local Agency Name: WVDEP Division of Air Quality
Contact Name, Address, Phone Number, Email:
David Porter
dporter@wvdep. org
(304) 926-3647
Counties Included/Number in State: 20 out of 55
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-76

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Wisconsin
State/Local Agency Name: Wisconsin Department of Natural Resources
Contact Name, Address, Phone Number, Email:
Grant Hetherington
hetheg@dnr. state, wi.us
(608) 267-7539
Counties Included/Number in State: 20 out of 72
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, nh3, nox, pm10-pri, pm2 5-pri, pm-pri, so2, voc
# of HAPs in File: 14 HAPs
General Comments on File, if any:
2,2,4-Trimethylpentane, Acetaldehyde, Acrolein, Benzene, Chromium, Ethyl Benzene,
Formaldehyde, Hexane, Manganese, Nickel, Propionaldehyde, Styrene, Toluene, Xylenes (Mixture
of o, m, and p Isomers)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-77

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STATE DATABASE SUMMARY REPORT
Source Category: Commercial Marine Vessels
State: Wisconsin
State/Local Agency Name: Wisconsin Department of Natural Resources
Contact Name, Address, Phone Number, Email:
Grant D. Hetherington
hetheg@dnr. state, wi.us
(608) 267-7539
(608) 267-0560
Counties Included/Number in State: 3 out of 72
Inventory Y ear: 1999
Inventory Type-Criteria, Toxics, both: Criteria
•	of HAPs in file: None
General Comments on File, if Any:
•	State submitted both annual and daily emission estimates.
Resolution:
•	Replaced estimates with state submitted data for VOC, NOx, CO emissions.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-78

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Locomotives
jt\0179.02.001.001\nonroad vol-I-rv3.wpd	E_79

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Alabama
State/Local Agency Name: Alabama Department of Environmental Management
Contact Name, Address, Phone Number, Email:
LisaB. Cole
lbcolea@adem. state, al.us
(334) 270-5615
Counties Included/Number in State: 32 out of 67
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-80

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Alabama
State/Local Agency Name: Alabama Department of Environmental Management
Contact Name, Address, Phone Number, Email:
Ken Barrett
Alabama Department of Environmental Management
Air Division
P.O. Box 301463
Montgomery, Alabama 36130-1463
kab@adem. state, al .us
(334) 271-7861
Counties Included/Number in State: noted counties with out railroads
Inventory Year: 1996
Inventory Type - Criteria, toxics, both:
# of HAPs in File:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Alabama
State/Local Agency Name: Alabama Department of Environmental Management
Contact Name, Address, Phone Number, Email:
Cala Obenauf
ci o@adem. state, al .us
(334) 270-5683
Counties Included/Number in State: 67 out of 67
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, VOC
# of HAPs in File: 0 HAPs
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-82

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Alaska
State/Local Agency Name: Alaska Department of Environmental Conservation
Contact Name, Address, Phone Number, Email:
Melanie Lambardo
melanie_lambardo@dec. state, ak.us
(907)465-5116
Counties Included/Number in State: 6 out of 27
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, HC, NOx, PM10
# of HAPs in File: NoHAPs
General Comments on File, if any:
HC emissions not used-incorrect format submitted
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-83

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Alaska
State/Local Agency Name: Alaska Department of Environmental Conservation
Contact Name, Address, Phone Number, Email:
Alice Edwards /Joan Kassel
Alaska Department of Environmental Conservation
410 Willoughby Ave. Suite 105
Juneau,. AK 99801
aedwards@envircon. state, ak.us
ikassel@envircon. state, ak.us
Alice (907) 465-5109
Joan (907) 465-5129
Counties Included/Number in State: deleted 19 counties that do not have railroads
Inventory Year: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd	E-84

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Arizona, Maricopa County
State/Local Agency Name: MARICOPA
Contact Name, Address, Phone Number, Email:
Bob Downing
bdowning@mail.maricopa.gov
(602) 506-6790
Counties Included/Number in State: 1 out of 15
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NH3, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-85

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Arkansas
State/Local Agency Name: Arkansas Department of Environmental Quality
Contact Name, Address, Phone Number, Email:
Ron Hoofman
hoofman@adeq.state.ar.us
(501)682-0537
Counties Included/Number in State: 66 out of 75
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, nh3, nox, pm10-pri, pm2 5-pri, so2, voc
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-86

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: California
State/Local Agency Name: California Air Resources Board
Contact Name, Address, Phone Number, Email:
Andy Alexis
aalexi s@arb. ca. gov
(916)323-1085
Counties Included/Number in State: 44 out of 58
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-FIL, PM2 5-FIL, PM-FIL, S02, VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acetaldehyde, Acrolein, Antimony, Arsenic, Benzene,
Cadmium, Chlorine, Chromium, Cobalt, Cumene, Ethyl Benzene, Formaldehyde, Hexane, Lead,
Manganese, Mercury, Methanol, Methyl Ethyl Ketone, m-Xylene, Naphthalene, Nickel, o-Xylene,
Phosphorus, Propionaldehyde, p-Xylene, Selenium, Styrene, Toluene
# of HAPs in File: 30HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-87

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: California - Lake County
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: deleted rail emission as there are no railroads in this county
Inventory Year: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-88

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: California
State/Local Agency Name: California Air Resources Board
Contact Name, Address, Phone Number, Email:
Andy Alexis
aalexi s@arb. ca. gov
(916)323-1085
Counties Included/Number in State: 44 out of 58
Inventory Year: 1999
Inventory Type - Criteria, toxics both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, SOx, VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acetaldehyde, Antimony, Arsenic, Benzene, Cadmium,
Chlorine, Chromium, Cobalt, Cumene, Ethyl Benzene, Formaldehyde, Hexane, Lead, m-Xylene,
Manganese, Mercury, Methanol, Methyl Ethyl Ketone, Naphthalene, Nickel, o-Xylene, p-Xylene,
Phosphorus, Propionaldehyde, Selenium, Styrene, Toluene
(Other pollutants not on the 188 HAP list were also included but not used)
# of HAPs in File: 47 HAPs
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-89

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Colorado
State/Local Agency Name: Colorado APCD
Contact Name, Address, Phone Number, Email:
Dale M. Wells
dale.wells@state.co.us
(303) 692-3237
Counties Included/Number in State: 5 out of 64
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-90

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Connecticut
State/Local Agency Name: CT DEP
Contact Name, Address, Phone Number, Email:
Steven Potter
Steven. potter@po. state, ct.us
(860) 424-3384
Counties Included/Number in State: 8 out of 8
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-91

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Delaware
State/Local Agency Name: Delaware Air Quality Management
Contact Name, Address, Phone Number, Email:
David Fees
david.fees@state.de.us
(302) 739-4791
Counties Included/Number in State: 3 out of 3
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, nh3, nox, pm10-pri, pm2 5-PRI, so2, VOC
1.2.3.4.6.7.8-Heptachlorodibenzofuran,	1,2,3,4,6,7,8-Heptachlorodibenzo-p-Dioxin,
1.2.3.4.7.8.9-Heptachlorodibenzofuran,	1,2,3,4,7,8-Hexachlorodibenzofuran,
1,2,3,4,7,8-Hexachlorodibenzo-p-Dioxin, 1,2,3,6,7,8-Hexachlorodibenzofuran,
1.2.3.6.7.8-Hexachlorodibenzo-p-Dioxin,	1,2,3,7,8,9-Hexachlorodibenzofuran,
1.2.3.7.8.9-Hexachlorodibenzo-p-Dioxin,	1,2,3,7,8-Pentachlorodibenzofuran,
1,2,3,7,8-Pentachlorodibenzo-p-Dioxin, 1,3-Butadiene, 2,2,4-Trimethylpentane,
2,3,4,6,7,8-Hexachlorodibenzofuran, 2,3,4,7,8-Pentachlorodibenzofuran,
2,3,7,8-Tetrachlorodibenzofuran, 2,3,7,8-Tetrachlorodibenzo-p-Dioxin,
Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein, Anthracene, Benz[a]Anthracene, Benzene,
Benzo[a]Pyrene, Benzo[b]Fluoranthene, Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Beryllium,
Beryllium & Compounds, Cadmium, Cadmium & Compounds, Chromium IE, Chromium IV,
Chrysene, Dibenzo[a,h]Anthracene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde,
Indeno[l,2,3-c,d]Pyrene, Lead, Manganese, Manganese & Compounds, Naphthalene, Nickel,
Nickel & Compounds, Octachlorodibenzofuran, Octachlorodibenzo-p-Dioxin, Phenanthrene,
Pyrene, Styrene, Toluene, Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 57 HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-92

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: District of Columbia
State/Local Agency Name: DC Department of Health
Contact Name, Address, Phone Number, Email:
Deirdre Elvis
deirdre.elvis@dc.gov
(202)535-2256
Counties Included/Number in State: 1 out of 1
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
Pollutant codes were updated to reflect current EPA pollutant codes.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-93

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Florida (Pinellas county)
State/Local Agency Name: Pinellas County Department of Environmental Management
Contact Name, Address, Phone Number, Email:
Bob Soptei
bsoptei@co.pinellas.fi.us
(727) 464-4422
Counties Included/Number in State: 1 out of 67
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM25-PRI, PM-PRI, S02, and VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein,
Anthracene, Benz[a]Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene,
Benzo[g,h,i,]Perylene, Beryllium & Compounds, Cadmium & Compounds, Chromium (VI),
Chromium m, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde, Hexane,
Indeno[l,2,3-c,d]Pyrene, Lead & Compounds, Manganese & Compounds, Naphthalene, Nickel &
Compounds, Phenanthrene, Propionaldehyde, Pyrene, Styrene, Toluene, and Xylenes (Mixture of o,
m, and p Isomers)
# of HAPs in File: 34 HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-94

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Georgia
State/Local Agency Name: Georgia Environmental Protection Division
Contact Name, Address, Phone Number, Email:
Scott South wick
scott_southwick@dnr. state, ga.us
(404) 362-4569
Counties Included/Number in State: 114 out of 159
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-95

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Idaho
State/Local Agency Name: DEQ
Contact Name, Address, Phone Number, Email:
Gary Reinbold
greinbol@deq. state.id.us
(208)373-0253
Counties Included/Number in State: 39 out of 44
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-96

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Illinois
State/Local Agency Name: Illinois EPA
Contact Name, Address, Phone Number, Email:
David 'Buzz' Asselmeier
buzz, asselmeier@epa.state.il. us
(217) 524-4343
Counties Included/Number in State: 102 out of 102
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NH3, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-97

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Indiana
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 92 out of 92
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NH3, NOx, PM10-PRI, PM2 5-PRI, PM-PRI, S02, and VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-98

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Kentucky (Jefferson County)
State/Local Agency Name: Louisville Metro APCD
Contact Name, Address, Phone Number, Email:
Gary Flispart
Garv.Flispart@loukvmetro.org
(502) 574-6000
Counties Included/Number in State: 1 out of 120
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-99

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Louisiana
State/Local Agency Name: Department of Environmental Quality
Contact Name, Address, Phone Number, Email:
Elizabeth McDearman
elizabethm@deq. state, la.us
(225) 765-0303
Counties Included/Number in State: 5 out of 64
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria
NOx, VOC
# of HAPs in File: 0 HAPs
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-100

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Maryland
State/Local Agency Name: Maryland Department of the Environment
Contact Name, Address, Phone Number, Email:
Roger Thunell
rthunell@mde. state.md.us
(410) 537-3273
Counties Included/Number in State: 24 out of 24
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM25-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-101

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Maryland
State/Local Agency Name: Maryland Department of Environment
Contact Name, Address, Phone Number, Email:
Leif Hockstad
lhockstad@mde. state, md.us
(410) 631-3277
Counties Included/Number in State: 24 out of 24
Inventory Year: 1999
Inventory Type - Criteria, toxic, both: Toxics
Acrolein, Ethylbenzene, Hexane, Propionaldehyde, Styrene, Toluene, Xylenes (Mixture of o, m, and
p Isomers)
# of HAPs in File: 7 HAPs
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-102

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Massachusetts
State/Local Agency Name: Massachusetts DEP
Contact Name, Address, Phone Number, Email:
Kenneth Santlal
kenneth.santlal@state.ma.us
(617) 292-5776
Counties Included/Number in State: 14 out of 14
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
E-103

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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Minnesota
State/Local Agency Name: Minnesota Pollution Control Agency
Contact Name, Address, Phone Number, Email:
Chun Yi Wu
chun.vi.wu@pca. state.mn.us
(651)282-5855
Counties Included/Number in State: 69 (criteria) and 81 (HAP) out of 87
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, S02, VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein,
Anthracene, Benz[a]Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene,
Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Beryllium, Cadmium, Chromium (VI), Chromium
HI, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde, Hexane, Indeno[l,2,3-
c,d]Pyrene, Lead, Manganese, Naphthalene, Nickel, Phenanthrene, Propionaldehyde, Pyrene,
Styrene, Toluene , Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 34 HAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotive
State: Minnesota
State/Local Agency Name: Minnesota Air Pollution Control Agency
Contact Name, Address, Phone Number, Email:
Chun Yi Wu
Minnesota Air Pollution Control Agency
chun.vi.wu@pca. state.mn.us
(651)282-5855
Counties Included/Number in State: 83 out of 87
Inventory Y ear: 1999
Inventory Type - Criteria, toxics, both: Toxics
1,3-Butadiene, 2,2,4-Trimethylpentane, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein,
Anthracene, Arsenic & Compounds (Inorganic Including Arsine), Benz[a]Anthracene, Benzene,
Benzo[a]Pyrene, Benzo[b]Fluoranthene, Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Beryllium
& Compounds, Cadmium & Compounds, Chromium (VI), Chromium IE, Chrysene, Ethyl Benzene,
Fluoranthene, Fluorene, Formaldehyde, Hexane, Indeno[l,2,3-c,d]Pyrene, Lead & Compounds,
Manganese & Compounds, Mercury & Compounds, Naphthalene, Nickel & Compounds,
Phenanthrene, Propionaldehyde, Pyrene, Styrene, Toluene, Xylenes (Mixture of o, m, and p
Isomers)
# of HAPs in File: 36
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Mississippi
State/Local Agency Name: Mississippi DEQ
Contact Name, Address, Phone Number, Email:
Keith Head
keith_head@deq. state, ms.us
(601)961-5577
Counties Included/Number in State: 63 out of 82
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Montana (Fort Peck)
State/Local Agency Name: ITEP
Contact Name, Address, Phone Number, Email:
Sarah Kelly
Sarah.Kellv@nau.edu
(928)523-6377
Counties Included/Number in State: 1 out of 57
Inventory Year: 2000
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM-PRI, S02, VOC
Formaldehyde
# of HAPs in File: 1 HAP
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Nebraska
State/Local Agency Name: Lincoln-Lancaster County Health Department
Contact Name, Address, Phone Number, Email:
Charles Riley
No address given
crilev@ci.lincoln.ne.us
(402) 441-6202
Counties Included/Number in State: 1
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria
CO, C02, NOx, PM10-PRI, SOx, VOC
# of HAPs in File: 0 HAPs
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: New Hampshire
State/Local Agency Name: New Hampshire Dept of Environmental Services Air Resources
Division
Contact Name, Address, Phone Number, Email:
David Healy
dhealv@des. state, nh. us
(603)271-0871
Counties Included/Number in State: 10 out of 10
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
1,3-Butadiene, Acetaldehyde, Acrolein, Benzene, Beryllium & Compounds, Cadmium &
Compounds, Chromium & Compounds, Ethyl Benzene, Formaldehyde, Hexane, Lead &
Compounds, Manganese & Compounds, Mercury & Compounds, Naphthalene, Nickel &
Compounds, Polycyclic Organic Matter, Propionaldehyde, Styrene, Toluene, Xylenes (Mixture of o,
m, and p Isomers)
# of HAPs in File: 20 HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: New Jersey
State/Local Agency Name: NJ Department of Environmental Protection
Contact Name, Address, Phone Number, Email:
John Gorgol
i ohn. gorgol@dep. state.ni .us
(609) 292-1413
Counties Included/Number in State: 21 out of 21
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Nevada (Clark County)
State/Local Agency Name: DAQM
Contact Name, Address, Phone Number, Email:
Ebrahim Juma
iuma@co.clark.nv.us
(702)455-1621
Counties Included/Number in State: 1 out of 17
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM-PRI, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
Pollutant codes were updated to reflect current EPA pollutant codes.
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: North Carolina
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 72 out of 100
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Ohio
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 88 out of 88
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, nh3, nox, pm10-pri, pm2 5-pri, pm-pri,
# of HAPs in File: NoHAPs
General Comments on File, if any:
Pollutant codes were updated to reflect current EPA pollutant codes.
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Oregon
State/Local Agency Name: ODEQ
Contact Name, Address, Phone Number, Email:
Jeffrey Stocum
stocum.ieffrev@deq.state.or.us
(503) 229-5506
Counties Included/Number in State: 32 out of 36
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
1,3-Butadiene, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein, Anthracene, Arsenic
Benz[a] Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene, Benzo[g,h,i,]Perylene,
Benzo[k]Fluoranthene, Beryllium, Cadium, Chromium, Chrysene, Ethyl Benzene, Fluoranthene,
Formaldehyde, Hexane, Indeno[l,2,3-c,d]Pyrene, Lead, Manganese, Mercury, Naphthalene, Nickel,
Phenanthrene, Propionaldehyde, Pyrene, Styrene, Toluene, Xylenes (Mixture of o, m, and p
Isomers)
# of HAPs in File: 33 HAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Pennsylvania
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State: 57 out of 67
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria, daily
CO, C02, NOx, PM10-PRI, SOx, VOC
# of HAPs in File: 0 HAPs
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Rhode Island
State/Local Agency Name: RIDEM
Contact Name, Address, Phone Number, Email:
Karen Slattery
karen. si atterv@ dem. ri. gov
(401)222-2808
Counties Included/Number in State: 5 out of 5
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Tennessee
State/Local Agency Name: TDEC APC
Contact Name, Address, Phone Number, Email:
James R. Redus
ron.redus@state.tn.us
(615)532-0577
Counties Included/Number in State: 57 out of 95
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Tennessee (Nashville/Davidson County)
State/Local Agency Name: Metro Public Health Department Nashville/Davidson Cty
Contact Name, Address, Phone Number, Email:
Laura Artates
laura.artates@nashville. gov
(615)340-5653
Counties Included/Number in State: 1 out of 95
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Tennessee
State/Local Agency Name: Chattanooga- Hamilton County Air Pollution Control Bureau
Contact Name, Address, Phone Number, Email:
Heather Sandner
sandner_h@mail. chattanoonga. gov
(423) 867-4321
Counties Included/Number in State: 1
Inventory Year: 1999
Inventory Type - Criteria, toxics, both:Criteria
CO, HC, NOx, SOx
# of HAPs in File: 0 HAPs
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Texas
State/Local Agency Name: TCEQ
Contact Name, Address, Phone Number, Email:
Melinda Torres
Metorres@tceq. state.tx.us
(512) 239-0058
Counties Included/Number in State: 254 out of 254
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
Acrolein and Chromium & Compounds.
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Texas
State/Local Agency Name: Texas Natural Resources Conservation
Contact Name, Address, Phone Number, Email:
Peter Ogbeide
pogbeide@tnrcc. state, tx. us
(512) 239-1937
Counties Included/Number in State: 254 out of 254
Inventory Y ear: 1999
Inventory Type - Criteria, toxics, both: Toxics
1,3-butadiene, 16-PAH, 7-PAH, Acetaldehyde, Acrolein, Arsenic & Compounds (Inorganic
Including Arsine), Benzene, Beryllium & Compounds, Cadmium & Compounds, Chromium &
Compounds, Ethylbenzene, Formaldehyde, Hexane, Lead & Compounds, Manganese &
Compounds, Mercury & Compounds, Methyl tert-butyl ether, Nickel & Compounds,
Propionaldehyde, Selenium & Compounds, Styrene, Toluene, Xylenes (Mixture of o, m, and p
isomers)
# of HAPs in File: 23 HAPs
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Utah
State/Local Agency Name: UT Division of Air Quality
Contact Name, Address, Phone Number, Email:
Carol A. Nielsen
C ani el sen@utah. gov
(801)536-4073
Counties Included/Number in State: 29 out of 29
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
Pollutant codes were updated to reflect current EPA pollutant codes.
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Utah
State/Local Agency Name:
Contact Name, Address, Phone Number, Email:
Counties Included/Number in State:
Data acquired from railroads that operate in Utah were used to adjust EPA estimated emissions
from railroads. The distribution was made using information on where train tracks are located in
the state and the amount of traffic on those tracks.
Inventory Year: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Utah
State/Local Agency Name: Utah Division of Air Quality
Contact Name, Address, Phone Number, Email:
Carol Neilsen
cneilsen@deq.state.ut.us
(801)536-4073
Counties Included/Number in State: 29 out of 29
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria
CO, nh3, nox, pm10-pri, sox, voc
# of HAPs in File: 0 HAPs
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Virginia
State/Local Agency Name: Virginia Department of Environmental Quality
Contact Name, Address, Phone Number, Email:
Thomas C. Foster
tcfoster@deq. state, va.us
(804) 698-4411
Counties Included/Number in State: 136 out of 136
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, and VOC
# of HAPs in File: No HAPs
General Comments on File, if any:
SCCs were updated to reflect current EPA SCCs.
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Washington
State/Local Agency Name: WA Dept. of Ecology
Contact Name, Address, Phone Number, Email:
Sally Otterson
sott461 @ecv. wa. gov
(360) 407-6806
Counties Included/Number in State: 34 out of 39
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
1,3-Butadiene, 2,2,4-Trimethylpentane, Acenaphthene, Acenaphthylene, Acetaldehyde, Acrolein,
Anthracene, Arsenic, Benz[a]Anthracene, Benzene, Benzo[a]Pyrene, Benzo[b]Fluoranthene,
Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Beryllium, Cadmium, Chromium, Chrysene,
Dibenzo[a,h]Anthracene, Ethyl Benzene, Flouranthene, Fluorene, Formaldehyde, Hexane,
Indeno[a]pyrene, Lead, Manganese, Mercury, Naphthalene, Nickel, Phenanthrene,
Propionaldehyde, Pyrene, Styrene, Toluene, Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 36 HAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Wisconsin
State/Local Agency Name: Wisconsin Department of Natural Resources
Contact Name, Address, Phone Number, Email:
Grant Hetherington
ww.dnr.state.wi.us
(608) 267-7539
Counties Included/Number in State: 72 out of 72
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Both
CO, nh3, nox, pm10-pri, pm2 5-pri, pm-pri, so2, VOC
Acenaphthene, Acenaphthylene, Anthracene, Arsenic, Benz[a]Anthracene, Benzo[b]Fluoranthene,
Benzo[g,h,i,]Perylene, Benzo[k]Fluoranthene, Beryllium, Cadmium, Chrysene, Ethyl Benzene,
Fluoranthene, Fluorene, Hexane, Indeno[l,2,3-c,d]Pyrene, Lead, Manganese, Naphthalene, Nickel,
Phenanthrene, Propionaldehyde, Pyrene, Styrene, Toluene , Xylenes (Mixture of o, m, and p
Isomers)
# of HAPs in File: 21 HAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: West Virginia
State/Local Agency Name: WVDEP Division of Air Quality
Contact Name, Address, Phone Number, Email:
David Porter
dporter@wvdep. org
(304) 926-3647
Counties Included/Number in State: 44 out of 55
Inventory Year: 2002
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, PM10-PRI, PM2 5-PRI, S02, VOC
# of HAPs in File: NoHAPs
General Comments on File, if any:
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STATE DATABASE SUMMARY REPORT
Source Category: Locomotives
State: Wisconsin
State/Local Agency Name: Wisconsin Department of Natural Resources
Contact Name, Address, Phone Number, Email:
Grant D. Hetherington
hetheg@dnr. state, wi.us
608-267-7539
Counties Included/Number in State: 72 out of N/A
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria
CO, NOx, VOC
# of HAPs in File: 0 HAPs
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Other Nonroad
jt\0179.02.001.001\nonroad vol-I-rv3.wpd

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STATE DATABASE SUMMARY REPORT
Source Category: Other Nonroad
State: California
State/Local Agency Name: California Air Resources Board
Contact Name, Address, Phone Number, Email:
Andy Alexis
aalexi s@arb. ca. gov
(916)323-1085
Counties Included/Number in State: 58 out of 58
Inventory Year: 1999
Inventory Type - Criteria, toxics both: Toxics
1,3-Butadiene, 2,2,4-Trimethylpentane, Acetaldehyde, Acrolein, Antimony, Arsenic, Benzene,
Cadmium, Chlorine, Chromium, Cobalt, Cumene, Ethyl Benzene, Formaldehyde, Hexane, Lead, m-
Xylene, Manganese, Mercury, Methanol, Methyl Ethyl Ketone, Methyl Tert-Butyl Ether,
Naphthalene, Nickel, o-Xylene, p-Xylene, Phosphorus, Propionaldehyde, Selenium, Styrene,
Toluene
(Other pollutants not on the 188 HAP list were also included but not used)
#	of HAPs in File: 52 HAPs
General Comments on File, if any:
•	The file had to be split up because they put area, mobile, and point together.
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STATE DATABASE SUMMARY REPORT
Source Category: Other Nonroad
State: Puerto Rico and the Virgin Islands
State/Local Agency Name: Region II
Contact Name, Address, Phone Number, Email:
Raymond Forde
EPA Region II
NY, NY
Forde.ravmond@epamail.epa.gov
Counties Included/Number in State:
Inventory Year: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File: 19
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STATE DATABASE SUMMARY REPORT
Source Category: Other Nonroad
State: Tennessee - Davidson County
State/Local Agency Name: Tennessee Division of Air Pollution Control
Contact Name, Address, Phone Number, Email:
Eric Hutton
Tennessee Division of Air Pollution Control
9th floor L&C Annex
401 Church Street
Nashville, TN 97243
ehutton@mail. state, tn.us
(615)532-0542
Counties Included/Number in State: 1
Inventory Year: 1996
Inventory Type - Criteria, toxics, both: HAPs
# of HAPs in File: 6
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STATE DATABASE SUMMARY REPORT
Source Category: Other Nonroad
State: Texas
State/Local Agency Name: Texas Natural Resources Conservation
Contact Name, Address, Phone Number, Email:
Peter Ogbeide
No address given
pogbeide@tnrcc. state, tx. us
(512) 239-1937
Counties Included/Number in State: 254 out of 254
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Toxics
1,3-Butadiene, 16-PAH, 7-PAH, Acetaldehyde, Acrolein, Arsenic & Compounds (Inorganic
Including Arsine), Benzene, Chromium & Compounds, Ethyl Benzene, Formaldehyde, Hexane,
Manganese & Compounds, Mercury & Compounds, Methyl Tert-Butyl Ether, Nickel &
Compounds, Propionaldehyde, Styrene, Toluene, Xylenes (Mixture of o, m, and p Isomers)
# of HAPs in File: 19 HAPs
General Comments on File, if any:
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Appendix F
NEI Pollutant Codes for Hazardous Air Pollutants

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Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants
Pollutant
Code
Pollutant Name
HAP Group
100027
4-Nitrophenol
4-Nitrophenol
10025873
Phosphorus Oxychloride
Phosphorus Compounds
10025919
Antimony Trichloride
Antimony Compounds
1002671
Diethylene Glycol Ethyl Methyl Ether
Glycol Ethers
10031137
Lead Arsenite
Lead Compounds
10034829
Sodium Chromate(VI)
Chromium Compounds
100414
Ethyl Benzene
Ethylbenzene
100425
Styrene
Styrene
100447
Benzyl Chloride
Benzyl Chloride
10060125
Chromium Chloride
Chromium Compounds
10099748
Lead Nitrate
Lead Compounds
10101505
Permanganic acid
Manganese Compounds
10101538
Chromic Sulfate
Chromium Compounds
10101970
Nickel (II) Sulfate Hexahydrate
Nickel Compounds
101020
Triphenyl Phosphite
Phosphorus Compounds
10108642
Cadmium Chloride
Cadmium Compounds
101144
4,4'-Methylenebis(2-Chloraniline)
4,4'-Methylenebis(2-Chloroaniline)
10124364
Cadmium Sulfate
Cadmium Compounds
10124433
Cobalt Sulfate
Cobalt Compounds
10137969
Ethyleneglycol Mono-2-Methylpentyl Ether
Glycol Ethers
10137981
Ethy lenegly colmono -2,6,8 -T rimethy 1-4 -
Nonyl Ether
Glycol Ethers
10143530
Diethylene Glycol Ethylvinyl Ether
Glycol Ethers
10143541
Diethylene Glycol Mono-2-Cyanoethyl
Ether
Glycol Ethers
10143563
Diethyleneglycol-Mono-2-Methyl-Pentyl
Ether
Glycol Ethers
101688
4,4'-Methylenediphenyl Diisocyanate
4,4'-Methylenediphenyl Diisocyanate (MDI)
101779
4,4'-Methylenedianiline
4,4 '-Methy lenedianiline
102
Benzo [b+k]Fluoranthene
Poly cyclic Organic Matter as 7-PAH
10215335
3 -Butoxy-1 -Propanol
Glycol Ethers
10294403
Barium Chromate
Chromium Compounds
10294561
Phosphorous Acid
Phosphorus Compounds
103
Benz(a)Anthracene/Chrysene
Polycylie Organic Matter as 7-PAH
10325947
Cadmium Nitrate
Cadmium Compounds
10377669
Manganese Nitrate
Manganese Compounds
10588019
Sodium Dichromate
Chromium Compounds
106423
p-Xylene
Xylenes (Mixed Isomers)
106445
p-Cresol
Cresol/Cresylic Acid (Mixed Isomers)
106467
1,4-Dichlorobenzene
1,4-Dichlorobenzene
106503
p-Phenylenediamine
p-Phenylenediamine
106514
Quinone
Quinone (p-Benzoquinone)
106887
1,2-Epoxybutane
1,2-Epoxybutane
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
F-l

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Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
106898
1 -Chloro-2,3 -Epoxypropane
Epichlorohydrin (1 -Chloro-2,3 -Epoxypropane)
106934
Ethylene Dibromide
Ethylene Dibromide (Dibromoethane)
106990
1,3-Butadiene
1,3-Butadiene
107028
Acrolein
Acrolein
107051
Allyl Chloride
Allyl Chloride
107062
Ethylene Dichloride
Ethylene Dichloride (1,2-Dichloroethane)
107131
Acrylonitrile
Acrylonitrile
107211
Ethylene Glycol
Ethylene Glycol
107302
Chloromethyl Methyl Ether
Chloromethyl Methyl Ether
108054
Vinyl Acetate
Vinyl Acetate
108101
Methyl Isobutyl Ketone
Methyl Isobutyl Ketone (Hexone)
108316
Maleic Anhydride
Maleic Anhydride
108383
m-Xylene
Xylenes (Mixed Isomers)
108394
m-Cresol
Cresol/Cresylic Acid (Mixed Isomers)
108883
Toluene
Toluene
108907
Chlorobenzene
Chlorobenzene
108952
Phenol
Phenol
109
Beryllium & Compounds
Beryllium Compounds
109864
Ethylene Glycol Methyl Ether
Glycol Ethers
110496
Ethylene Glycol Monomethyl Ether Acetate
Glycol Ethers
110543
Hexane
Hexane
110714
1,2-Dimethoxyethane
Glycol Ethers
110805
Cellosolve Solvent
Glycol Ethers
11103869
Zinc Potassium Chromate
Chromium Compounds
111104
Methoxyethyl Oleate
Glycol Ethers
11115745
Chromic Acid
Chromium Compounds
111159
Cellosolve Acetate
Glycol Ethers
111422
Diethanolamine
Diethanolamine
111444
Dichloroethyl Ether
Dichloroethyl Ether (Bis[2-Chloroethyl]Ether)
111762
Butyl Cellosolve
Glycol Ethers
111773
Diethylene Glycol Monomethyl Ether
Glycol Ethers
111900
Diethylene Glycol Monoethyl Ether
Glycol Ethers
111966
Diethylene Glycol Dimethyl Ether
Glycol Ethers
1120714
1,3 -Propanesultone
1,3-Propane Sultone
112072
2-Butoxyethyl Acetate
Glycol Ethers
112152
Carbitol Acetate
Glycol Ethers
112254
2-(Hexyloxy)Ethanol
Glycol Ethers
112276
Triethylene glycol
Glycol Ethers
112345
Diethylene Glycol Monobutyl Ether
Glycol Ethers
112356
Methoxytriglycol
Glycol Ethers
112367
Diethylene glycol diethyl ether
Glycol Ethers
112492
Triethylene Glycol Dimethyl Ether
Glycol Ethers
112505
Ethoxytriglycol
Glycol Ethers
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
F-2

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Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
112594
N-Hexyl Carbitol
Glycol Ethers
114261
Propoxur
Propoxur (Baygon)
115866
Triphenyl Phosphate
Phosphorus Compounds
117817
Bis(2-Ethylhexyl)Phthalate
Bis(2-Ethylhexyl)Phthalate (Dehp)
118741
Hexachlorobenzene
Hexachlorobenzene
119904
3,3 '-Dimethoxybenzidine
3,3 '-Dimethoxybenzidine
119937
3,3 '-Dimethylbenzidine
3,3 '-Dimethylbenzidine
120127
Anthracene
Poly cyclic Organic Matter as 15-PAH
12018018
Chromium Dioxide
Chromium Compounds
12018198
Chromium Zinc Oxide
Chromium Compounds
12035722
Nickel Subsulfide
Nickel Compounds
12054487
Nickel Hydroxide
Nickel Compounds
120558
Diethylene Glycol Dibenzoate
Glycol Ethers
12060003
Lead Titanate
Lead Compounds
120809
Catechol
Catechol
120821
1,2,4-Trichlorobenzene
1,2,4-Trichlorobenzene
121142
2,4-Dinitrotoluene
2,4-Dinitrotoluene
12136913
Phosphorous Nitride
Phosphorus Compounds
121448
Triethylamine
Triethylamine
121697
N,N-Dimethylaniline
N,N-Dimethylaniline
122667
1,2-Diphenylhydrazine
1,2-Diphenylhydrazine
122996
Phenyl Cellosolve
Glycol Ethers
123319
Hydroquinone
Hydroquinone
123386
Propionaldehyde
Propionaldehyde
123911
p-Dioxane
p-Dioxane
124174
Butyl Carbitol Acetate
Glycol Ethers
125
Cadmium & Compounds
Cadmium Compounds
12626812
Lead Titanate Zircon
Lead Compounds
12640890
Selenium Oxide
Selenium Compounds
126998
Chloroprene
Chloroprene
12710360
Nickel Carbide
Nickel Compounds
1271289
Nickelocene
Nickel Compounds
127184
T etrachloroethylene
Tetrachloroethylene (Perchloroethylene)
129000
Pyrene
Poly cyclic Organic Matter as 15-PAH
13011546
Phosphorous Salt
Phosphorus Compounds
1303282
Arsenic Pentoxide
Arsenic Compounds(Inorganic Including Arsine)
1304569
Beryllium Oxide
Beryllium Compounds
1306190
Cadmium Oxide
Cadmium Compounds
1306236
Cadmium Sulfide
Cadmium Compounds
1307966
Cobalt Oxide
Cobalt Compounds
1308061
Cobalt Oxide (II,III)
Cobalt Compounds
1308130
Zinc Chromate
Chromium Compounds
1308141
Chromium Hydroxide
Chromium Compounds
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
F-3

-------
Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
1308389
Chromic Oxide
Chromium Compounds
1309600
Lead Dioxide
Lead Compounds
1309644
Antimony Trioxide
Antimony Compounds
131113
Dimethyl Phthalate
Dimethyl Phthalate
1313139
Manganese Dioxide
Manganese Compounds
13138459
Nickel Nitrate
Nickel Compounds
1313991
Nickel Oxide
Nickel Compounds
1314063
Nickel Peroxide
Nickel Compounds
1314245
Phosphorus Trioxide
Phosphorus Compounds
1314416
Lead (II, IV) Oxide
Lead Compounds
1314563
Phosphorus Pentoxide
Phosphorus Compounds
1314803
Phosphorus Pentasulfide
Phosphorus Compounds
1317346
Manganese Trioxide
Manganese Compounds
1317357
Manganese Tetroxide
Manganese Compounds
1317368
Lead (II) Oxide
Lead Compounds
1317426
Cobalt Sulfide
Cobalt Compounds
1319773
Cresol
Cresol/Cresylic Acid (Mixed Isomers)
132649
Dibenzofuran
Dibenzofuran
1327339
Antimony Oxide
Antimony Compounds
1327522
Arsenic Acid
Arsenic Compounds(Inorganic Including Arsine)
1327533
Arsenic Trioxide
Arsenic Compounds(Inorganic Including Arsine)
1330207
Xylenes (Mixture of o, m, and p Isomers)
Xylenes (Mixed Isomers)
133062
Captan
Captan
1332214
Asbestos
Asbestos
1333820
Chromium Trioxide
Chromium Compounds
1335257
Lead Oxide
Lead Compounds
1335326
Lead Subacetate
Lead Compounds
1336363
Polychlorinated Biphenyls
Polychlorinated Biphenyls (Aroclors)
1336932
Manganese Napthenate
Manganese Compounds
133904
Chloramben
Chloramben
1345046
Antimony Trisulfide
Antimony Compounds
1345160
Cobalt Aluminate
Cobalt Compounds
13462889
Nickel Bromide
Nickel Compounds
13463393
Nickel Carbonyl
Nickel Compounds
13510491
Beryllium Sulfate
Beryllium Compounds
13530659
Zinc Chromate
Chromium Compounds
13530682
Chromic Sulfuric Acid
Chromium Compounds
136
Chromium & Compounds
Chromium Compounds
136527
Cobalt 2-ethylhexanoate
Cobalt Compounds
13765190
Calcium Chromate
Chromium Compounds
13770893
Nickel Sulfamate
Nickel Compounds
13814965
Lead Fluoroborate
Lead Compounds
139
Cobalt & Compounds
Cobalt Compounds
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
F-4

-------
Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
13943583
Potassium Ferrocyani
Cyanide Compounds
13967505
Gold (I) Potassium Cyanide
Cyanide Compounds
140
Coke Oven Emissions
Coke Oven Emissions
140056
Methyl Cellosolve Acetylricinoleate
Glycol Ethers
140294
Benzyl Cyanide
Cyanide Compounds
140885
Ethyl Acrylate
Ethyl Acrylate
141
Benzene Soluble Organics (BSO)
Coke Oven Emissions
142
Methylene Chloride Soluble Organics
(MCSO)
Coke Oven Emissions
14220178
Potass Nickel Cyanid
Cyanide Compounds
14307358
Lithium Chromate
Chromium Compounds
143226
Triglycol Monobutyl Ether
Glycol Ethers
143339
Sodium Cyanide
Cyanide Compounds
144
Cyanide & Compounds
Cyanide Compounds
14977618
Chromyl Chloride
Chromium Compounds
151508
Potassium Cyanide
Cyanide Compounds
151564
Ethyleneimine
Ethyleneimine (Aziridine)
155
Dioxins
Dioxins/Furans (total, non TEQ)
156627
Calcium Cyanamide
Calcium Cyanamide
1582098
Trifliiralin
Trifluralin
1589497
3 -Methoxy-1 -Propanol
Glycol Ethers
16065831
Chromium III
Chromium Compounds
1634044
Methyl Tert-Butyl Ether
Methyl Tert-Butyl Ether
16672392
Di(Ethylene Glycol Monobutyl Ether)
Phthalate
Glycol Ethers
16842038
Cobalt Carbonate
Cobalt Compounds
16925250
Sodium hexafluoroantimenate
Antimony Compounds
171
Glycol Ethers
Glycol Ethers
1746016
2,3,7,8-Tetrachlorodibenzo-p-Dioxin
Dioxins/Furans as 2,3,7,8-TCDD TEQs
18454121
Lead Chromate Oxide
Lead Compounds
18540299
Chromium (VI)
Chromium Compounds
18912806
Diethylene Glycol Monoisobutyl Ether
Glycol Ethers
189559
Dibenzo [a,i]Pyrene
Polycyclic Organic Matter
189640
Dibenzo [a,h]Pyrene
Polycyclic Organic Matter
191242
Benzo[g,h,i,]Perylene
Polycyclic Organic Matter as 15-PAH
191300
Dibenzo [a,l]Pyrene
Polycyclic Organic Matter
192654
Dibenzo [a,e]Pyrene
Polycyclic Organic Matter
192972
Benzo[e]Pyrene
Polycyclic Organic Matter
193395
Indeno [ 1,2,3 -c,d]Pyrene
Polycyclic Organic Matter as 7-PAH
19408743
1,2,3,7,8,9-Hexachlorodibenzo-p-Dioxin
Dioxins/Furans as 2,3,7,8-TCDD TEQs
195
Lead & Compounds
Lead Compounds
195197
Benzo(c)phenanthrene
Polycyclic Organic Matter
198
Manganese & Compounds
Manganese Compounds
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
F-5

-------
Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
198550
Perylene
Polycyclic Organic Matter
199
Mercury & Compounds
Mercury Compounds
200
Elemental Gaseous Mercury
Mercury Compounds
201
Gaseous Divalent Mercury
Mercury Compounds
202
Particulate Divalent Mercury
Mercury Compounds
203123
Benzo(g,h,i)Fluoranthene
Polycyclic Organic Matter
203338
Benzo(a)fluoranthene
Polycyclic Organic Matter
205823
B[j]Fluoranthen
Polycyclic Organic Matter
205992
Benzo [b]Fluoranthene
Polycyclic Organic Matter as 7-PAH
206440
Fluoranthene
Polycyclic Organic Matter as 15-PAH
20706256
2-Propoxyethyl Acetate
Glycol Ethers
207089
Benzo [k]Fluoranthene
Polycyclic Organic Matter as 7-PAH
208968
Acenaphthylene
Polycyclic Organic Matter as 15-PAH
218019
Chrysene
Polycyclic Organic Matter as 7-PAH
224420
Dibenzo [aj ] Acridine
Polycyclic Organic Matter
226
Nickel & Compounds
Nickel Compounds
22967926
Mercury (Organic)
Mercury Compounds
234
PAH, Total
Polycyclic Organic Matter as 7-PAH
23436193
1 -Isobutoxy-2-Propanol
Glycol Ethers
23495127
Ethyleneglycol Monophenyl Ether
Propionate
Glycol Ethers
2381217
1-Methylpyrene
Polycyclic Organic Matter
2422799
12-Methylbenz(a)Anthracene
Polycylic Organic Matter
24267569
Iodine-131
Radionuclides (Including Radon)
246
Polycyclic Organic Matter
Polycyclic Organic Matter as 7-PAH
247
Methylbenzopyrenes
Polycyclic Organic Matter
248
Methylchrysene
Polycyclic Organic Matter
253
Selenium & Compounds
Selenium Compounds
262124
Dibenzo-p-Dioxin
Dioxins/Furans (total, non TEQ)
26914181
Methylanthracene
Polycyclic Organic Matter
27253287
Lead Neodecanoate
Lead Compounds
27310210
2-(2,4-Hexadienyloxy)Ethanol
Glycol Ethers
2807309
Propyl Cellosolve
Glycol Ethers
284
Extractable Organic Matter (EOM)
Polycyclic Organic Matter
2921882
Phosphorothioic Acid
Phosphorus Compounds
301042
Lead Acetate
Lead Compounds
302012
Hydrazine
Hydrazine
30402143
Total Tetrachlorodibenzofuran
Dioxins/Furans (total, non TEQ)
30402154
Total Pentachlorodibenzofuran
Dioxins/Furans (total, non TEQ)
3121617
Methyl Cellosolve Acrylate
Glycol Ethers
3141126
Arsenous Acid
Arsenic Compounds(Inorganic Including Arsine)
3268879
Octachlorodibenzo-p-Dioxin
Dioxins/Furans as 2,3,7,8-TCDD TEQs
331
Cresols (Includes o, m, & p)/Cresylic Acids
Cresol/Cresylic Acid (Mixed Isomers)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
F-6

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Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
3333393
Nickel Carbonate
Nickel Compounds
334883
Diazomethane
Diazomethane
34465468
Hexachlorodibenzo-p-Dioxin
Dioxins/Furans (total, non TEQ)
35822469
1,2,3,4,6,7,8-Heptachlorodibenzo-p-Dioxin
Dioxins/Furans as 2,3,7,8-TCDD TEQs
36088229
Total Pentachlorodibenzo-p-Dioxin
Dioxins/Furans (total, non TEQ)
3697243
5 -Methylchry sene
Polycyclic Organic Matter
37187647
Gold Cyanide
Cyanide Compounds
373024
Nickel Acetate
Nickel Compounds
3775857
Ethylene Glycol Bis(2,3-Epoxy-2-
Methylpropyl) Ether
Glycol Ethers
37871004
Total Heptachlorodibenzo-p-Dioxin
Dioxins/Furans (total, non TEQ)
383
Fine Mineral Fibers
Fine Mineral Fibers
38998753
Total Heptachlorodibenzofuran
Dioxins/Furans (total, non TEQ)
39001020
Octachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
39227286
1,2,3,4,7,8-Hexachlorodibenzo-p-Dioxin
Dioxins/Furans as 2,3,7,8-TCDD TEQs
398
Phosphorus & Compounds
Phosphorus Compounds
40
16-PAH
Polycyclic Organic Matter as 16-PAH
400
Radionuclides (Including Radon)
Radionuclides (Including Radon)
40321764
1,2,3,7,8-Pentachlorodibenzo-p-Dioxin
Dioxins/Furans as 2,3,7,8-TCDD TEQs
41903575
Total Tetrachlorodibenzo-p-Dioxin
Dioxins/Furans (total, non TEQ)
4206615
Diethylene Glycol Diglycidyl Ether
Glycol Ethers
42397648
1,6-Dinitropyrene
Polycyclic Organic Matter
42397659
1,8-Dinitropyrene
Polycyclic Organic Matter
4439241
Isobutyl Cellosolve
Glycol Ethers
463581
Carbonyl Sulfide
Carbonyl Sulfide
50000
Formaldehyde
Formaldehyde
50328
Benzo[a]Pyrene
Polycyclic Organic Matter as 7-PAH
506649
Silver Cyanide
Cyanide Compounds
50922297
Zinc Chromite
Chromium Compounds
510156
Chlorobenzilate
Chlorobenzilate
51207319
2,3,7,8-Tetrachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
51285
2,4-Dinitrophenol
2,4-Dinitrophenol
51796
Ethyl Carbamate Chloride
Ethyl Carbamate (Urethane) Chloride (Chloroethane)
532274
2-Chloroacetophenone
2-Chloroacetophenone
534521
4,6-Dinitro-o-Cresol
4,6-Dinitro-o-Cresol (Including Salts)
53703
Dibenzo [a,h] Anthracene
Polycyclic Organic Matter as 7-PAH
53963
2-Acetylaminofluorene
2-Acetylaminofluorene
540841
2,2,4 -T rimethy lpentane
2,2,4 -T rimethy lpentane
542756
1,3 -Dichloropropene
1,3 -Dichloropropene
542881
Bis(Chloromethyl)Ether
Bis(Chloromethyl) Ether
544923
Copper Cyanide
Cyanide Compounds
5522430
1-Nitropyrene
Polycyclic Organic Matter
554074
Gold Potassium Cyanide
Cyanide Compounds
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
F-7

-------
Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
55673897
1,2,3,4,7,8,9-Heptachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
55684941
Total Hexachlorodibenzofuran
Dioxins/Furans (total, non TEQ)
557211
Zinc Cyanide
Cyanide Compounds
56235
Carbon Tetrachloride
Carbon Tetrachloride
56382
Parathion
Parathion
56495
3 -Methylcholanthrene
Polycyclic Organic Matter
56553
Benz [a] Anthracene
Poly cyclic Organic Matter as 7-PAH
56832736
Benzofluoranthenes
Polycyclic Organic Matter as 7-PAH
57117314
2,3,4,7,8-Pentachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
57117416
1,2,3,7,8-Pentachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
57117449
1,2,3,6,7,8-Hexachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
57125
Cyanide
Cyanide Compounds
57147
1,1 -Dimethyl Hydrazine
1,1 -Dimethylhydrazine
57578
Beta-Propiolactone
Beta-Propiolactone
57653857
1,2,3,6,7,8-Hexachlorodibenzo-p-Dioxin
Dioxins/Furans as 2,3,7,8-TCDD TEQs
57749
Chlordane
Chlordane
57976
7,12-Dimethylbenz[a] Anthracene
Polycyclic Organic Matter
584849
2,4-Toluene Diisocyanate
2,4-Toluene Diisocyanate
58899
1,2,3,4,5,6-Hexachlorocyclyhexane
1,2,3,4,5,6-Hexachlorocyclyhexane (All Stereo
Isomers, Including Lindane)
593602
Vinyl Bromide
Vinyl Bromide
593748
Methyl Mercury
Mercury Compounds
598630
Lead Carbonate
Lead Compounds
59892
N-Nitrosomorpholine
N-Nitrosomorpholine
600
2,3,7,8-TCDD TEQ
Dioxins/Furans as 2,3,7,8-TCDD TEQs
60117
4-Dimethylaminoazobenzene
4-Dimethylaminoazobenzene
6018899
Nickel Diacetate TET
Nickel Compounds
602
Lead Compounds (Inorganic)
Lead Compounds
603
Lead Compounds (Other Than Inorganic)
Lead Compounds
60344
Methylhydrazine
Methylhydrazine
60355
Acetamide
Acetamide
604
Nickel Refinery Dust
Nickel Compounds
605
Radionuclides
Radionuclides (Including Radon)
606
Radon And Its Decay Products
Radionuclides (Including Radon)
607578
2-Nitrofluorene
Polycyclic Organic Matter
608
Ceramic Fibers (Man-Made)
Fine Mineral Fibers
60851345
2,3,4,6,7,8-Hexachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
609
Dibenzofurans (Chlorinated) {PCDFs}
Dioxins/Furans (total, non TEQ)
610
Dioxins, Total, w/o Individ. Isomers
Reported {PCDDs}
Dioxins/Furans (total, non TEQ)
613
Glasswool (Man-Made Fibers)
Fine Mineral Fibers
616
Slagwool (Man-Made Fibers)
Fine Mineral Fibers
617
Rockwool (Man-Made Fibers)
Fine Mineral Fibers
jt\0179.02.001.001\nonroad vol-I-rv3.wpd
F-8

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Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
61789513
Cobalt Naphtha
Cobalt Compounds
61790145
Lead Naphthenate
Lead Compounds
618
Cobalt Hydrocarbonyl
Cobalt Compounds
620
Lead Dioxide, Unknown CAS #
Lead Compounds
622
Hexachlorodibenzo-p-Dioxins, Total
Dioxins/Furans (total, non TEQ)
623
Polychlorinated Dibenzo-p-Dioxins, Total
Dioxins/Furans (total, non TEQ)
62384
Mercury Acetato Phen
Mercury Compounds
624
Polychlorinated Dibenzofurans, Total
Dioxins/Furans (total, non TEQ)
624839
Methyl Isocyanate
Methyl Isocyanate
625
Naphthenes (Cyclo)
Polycyclic Organic Matter
62533
Aniline
Aniline
62737
Dichlorvos
Dichlorvos
62759
N-Nitrosodimethylamine
N-Nitrosodimethylamine
629141
Ethylene Glycol Diethyl Ether
Glycol Ethers
63252
Carbaryl
Carbaryl
64675
Diethyl Sulfate
Diethyl Sulfate
662082
Ethylene Glycol Monobenzyl Ether
Glycol Ethers
67425
(Ethylenebis(Oxyethylenenitrilo))
Glycol Ethers

Tetraacetic Acid

67561
Methanol
Methanol
67562394
1,2,3,4,6,7,8-Heptachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
67663
Chloroform
Chloroform
67721
Hexachloroethane
Hexachloroethane
680319
Hexamethylphosphoramide
Hexamethylphosphoramide
68122
N,N-Dimethylformamide
N,N-Dimethylformamide
684935
N-Nitroso-N-Methylurea
N -Nitroso -N -Me thy lurea
693210
Diethylene Glycol Dinitrate
Glycol Ethers
70648269
1,2,3,4,7,8-Hexachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
71432
Benzene
Benzene (Including Benzene From Gasoline)
71556
Methyl Chloroform
Methyl Chloroform (1,1,1-Trichloroethane)
72435
Methoxychlor
Methoxychlor
72559
Dde (1,1 -Dichloro-2,2-Bis(p-Chlorophenyl)
Dde (l,l-Dichloro-2,2-Bis(p- Chlorophenyl)

Ethylene)
Ethylene)
72918219
1,2,3,7,8,9-Hexachlorodibenzofuran
Dioxins/Furans as 2,3,7,8-TCDD TEQs
7428480
Lead Stearate
Lead Compounds
7439921
Lead
Lead Compounds
7439965
Manganese
Manganese Compounds
7439976
Mercury
Mercury Compounds
7440020
Nickel
Nickel Compounds
7440360
Antimony
Antimony Compounds
7440382
Arsenic
Arsenic Compounds(Inorganic Including Arsine)
7440417
Beryllium
Beryllium Compounds
7440439
Cadmium
Cadmium Compounds
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F-9

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Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
7440473
Chromium
Chromium Compounds
7440484
Cobalt
Cobalt Compounds
7440611
Uranium
Radionuclides (Including Radon)
7446084
Selenium Dioxide
Selenium Compounds
7446142
Lead Sulfate
Lead Compounds
7446277
Lead Phosphate
Lead Compounds
7446346
Selenium Monosulfide
Selenium Compounds
74839
Methyl Bromide
Methyl Bromide (Bromomethane)
74873
Methyl Chloride
Methyl Chloride (Chloromethane)
7487947
Mercuric Chloride
Mercury Compounds
74884
Methyl Iodide
Methyl Iodide (Iodomethane)
7488564
Selenium Disulfide
Selenium Compounds
74908
Hydrogen Cyanide
Cyanide Compounds
7496028
6-Nitrochrysene
Polycyclic Organic Matter
75
7-PAH
Poly cyclic Organic Matter as 7-PAH
75003
Ethyl Chloride
Ethyl Chloride
75014
Vinyl Chloride
Vinyl Chloride
75058
Acetonitrile
Acetonitrile
75070
Acetaldehyde
Acetaldehyde
75092
Methylene Chloride
Methylene Chloride (Dichloromethane)
75150
Carbon Disulfide
Carbon Disulfide
75218
Ethylene Oxide
Ethylene Oxide
75252
Bromoform
Bromoform
7529273
Ethylene Glycol Diallyl Ether
Glycol Ethers
75343
Ethylidene Dichloride
Ethylidene Dichloride (1,1-Dichloroethane)
75354
Vinylidene Chloride
Vinylidene Chloride (1,1-Dichloroethylene)
75445
Phosgene
Phosgene
7550450
Titanium Tetrachloride
Titanium Tetrachloride
75558
1,2-Propylenimine
1,2-Propylenimine (2-Methylaziridine)
75569
Propylene Oxide
Propylene Oxide
76448
Heptachlor
Heptachlor
764487
Ethylene Glycol Monovinyl Ether
Glycol Ethers
7647010
Hydrochloric Acid
Hydrochloric Acid (Hydrogen Chloride [Gas Only])
764998
Diethylene Glycol Divinyl Ether
Glycol Ethers
7664382
Phosphoric Acid
Phosphorus Compounds
7664393
Hydrogen Fluoride
Hydrogen Fluoride (Hydrofluoric Acid)
7718549
Nickel Chloride
Nickel Compounds
7719122
Phosphorus Trichloride
Phosphorus Compounds
7722647
Potassium permanganate
Manganese Compounds
7723140
Phosphorus
Phosphorus Compounds
7738945
Chromic Acid (VI)
Chromium Compounds
77474
Hexachlorocyclopentadiene
Hexachlorocyclopentadiene
7758976
Lead Chromate
Lead Compounds
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F-10

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Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant


Code
Pollutant Name
HAP Group
7775113
Sodium Chromate
Chromium Compounds
77781
Dimethyl Sulfate
Dimethyl Sulfate
7778509
Potassium Dichromate
Chromium Compounds
7779900
Zinc Phosphate
Phosphorus Compounds
7782492
Selenium
Selenium Compounds
7782505
Chlorine
Chlorine
7783008
Selenous Acid
Selenium Compounds
7783166
Manganesehypophosphi
Manganese Compounds
7783702
Antimony Pentafluoride
Antimony Compounds
7783791
Selenium Hexafluoride
Selenium Compounds
7784409
Lead Arsenate
Lead Compounds
7784421
Arsine
Arsenic Compounds(Inorganic Including Arsine)
7785877
Manganese Sulfate
Manganese Compounds
7786814
Nickel Sulfate
Nickel Compounds
7787497
Beryllium Fluoride
Beryllium Compounds
7788967
Chromyl Fluoride
Chromium Compounds
7789006
Potassium Chromate
Chromium Compounds
7789062
Strontium Chromate
Chromium Compounds
7789095
Ammonium Dichromate
Chromium Compounds
779022
9-Methylbenz(a)Anthracene
Polycylic Organic Matter
7790809
Cadmium Iodide
Cadmium Compounds
7795917
Ethylene Glycol Mono-Sec-Butyl Ether
Glycol Ethers
78002
Tetraethyl Lead
Lead Compounds
7803512
Phosphine
Phosphine
78308
Triorthocresyl Phosphate
Phosphorus Compounds
78591
Isophorone
Isophorone
78820
2-Methyl-Propanenitrile
Cyanide Compounds
78875
Propylene Dichloride
Propylene Dichloride (1,2-Dichloropropane)
78933
Methyl Ethyl Ketone
Methyl Ethyl Ketone (2-Butanone)
79005
1,1,2-Trichloroethane
1,1,2-Trichloroethane
79016
T richloroethylene
T richloroethylene
79061
Acrylamide
Acrylamide
79107
Acrylic Acid
Acrylic Acid
79118
Chloroacetic Acid
Chloroacetic Acid
79345
1,1,2,2-Tetrachloroethane
1,1,2,2-Tetrachloroethane
79447
Dimethylcarbamoyl Chloride
Dimethylcarbamoyl Chloride
79469
2-Nitropropane
2-Nitropropane
8001352
Toxaphene
Toxaphene (Chlorinated Camphene)
8007452
Coal Tar
Coke Oven Emissions
8030704
Manganese Tallate
Manganese Compounds
80626
Methyl Methacrylate
Methyl Methacrylate
822060
Hexamethylene Diisocyanate
Hexamethylene Diisocyanate
82688
Pentachloronitrobenzene
Pentachloronitrobenzene (Ouintobenzene)
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F-l 1

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Table F-l. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)
Pollutant
Code
Pollutant Name
HAP Group
832699
1 -Methylphenanthrene
Polycylic Organic Matter
83329
Acenaphthene
Poly cyclic Organic Matter as 15-PAH
84742
Dibutyl Phthalate
Dibutyl Phthalate
85018
Phenanthrene
Poly cyclic Organic Matter as 15-PAH
85449
Phthalic Anhydride
Phthalic Anhydride
86737
Fluorene
Poly cyclic Organic Matter as 15-PAH
87683
Hexachlorobutadiene
Hexachlorobutadiene
87865
Pentachlorophenol
Pentachlorophenol
88
Alkylated Lead
Lead Compounds
88062
2,4,6-Trichlorophenol
2,4,6-Trichlorophenol
90040
o-Anisidine
o-Anisidine
90120
1 -Methylnaphthalene
Polycyclic Organic Matter
91203
Naphthalene
Naphthalene
91225
Quinoline
Quinoline
91576
2-Methylnaphthalene
Polycyclic Organic Matter
91587
2-Chloronaphthalene
Polycyclic Organic Matter
91941
3,3 '-Dichlorobenzidene
3,3 '-Dichlorobenzidene
92
Antimony & Compounds
Antimony Compounds
92203026
Phosphoric Acid,Rx P
Phosphorus Compounds
92524
Biphenyl
Biphenyl
92671
4-Aminobiphenyl
4-Aminobiphenyl
92875
Benzidine
Benzidine
92933
4-Nitrobiphenyl
4-Nitrobiphenyl
929373
Diethylene Glycol Monovinyl Ether
Glycol Ethers
93
Arsenic & Compounds (Inorganic Including
Arsine)
Arsenic Compounds(Inorganic Including Arsine)
94757
2,4-Dichlorophenoxy Acetic Acid
2,4-D (2,4-Dichlorophenoxyacetic Acid)(Including
Salts And Esters)
95476
o-Xylene
Xylenes (Mixed Isomers)
95487
o-Cresol
Cresol/Cresylic Acid (Mixed Isomers)
95534
o-Toluidine
o-Toluidine
95807
Toluene-2,4-Diamine
Toluene-2,4-Diamine
95954
2,4,5-Trichlorophenol
2,4,5-Trichlorophenol
96093
Styrene Oxide
Styrene Oxide
96128
1,2-Dibromo-3 -Chloropropane
1,2-Dibromo-3 -Chloropropane
96457
Ethylene Thiourea
Ethylene Thiourea
98077
Benzotrichloride
Benzotrichloride
98828
Cumene
Cumene
98862
Acetophenone
Acetophenone
98953
Nitrobenzene
Nitrobenzene
NY059280
Nickel (NI 059)
Nickel Compounds
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F-12

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United States	Office of Air Quality Planning and Standards	Publication No. EPA-454/B-20-023a
Environmental Protection	Air Quality Assessment Division	September 2005
Agency	Research Triangle Park, NC

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