EPA Contract No.: 68-D-02-063

Work Assignment No.: 3-01

DOCUMENTATION FOR AIRCRAFT, COMMERCIAL MARINE

VESSEL, LOCOMOTIVE, AND OTHER NONROAD COMPONENTS OF

THE NATIONAL EMISSIONS INVENTORY 

Volume I - Methodology

Prepared by:

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

September 30, 2005
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-1

Appendix B Commercial Marine Vessels Emission Estimation Methodology .......... . B-1

Appendix C Locomotive Emission Estimation Methodology ........................ C-1

Appendix D Other Nonroad Mobile Source Emission Estimating Methods and Data ... . D-1

Appendix E State Database Summary Sheets for Draft NEI ........................ . E-1

Appendix F NEI Pollutant Codes for Hazardous Air Pollutants ..................... . F-1
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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, NH3is 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 Pollutant(s) Estimation Method*

NONROAD Categories

Nonroad

Gasoline, 

Diesel, LPG, 

CNG

2002 VOC, NOx, CO, SO2,

PM10, PM2.5, 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, SO2,

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 Statesubmitted 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, SO2,

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, SO2,

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.
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 Pollutant(s) Estimation Method*

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Nonroad

Gasoline,

Diesel, LPG, and

CNG

(Continued)

1990 VOC, NOx, CO, SO2,

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, SO2,

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, SO2,

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, SO2,

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, SO2,

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. 
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 Pollutant(s) Estimation Method*

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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, CO,

SOX 

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)
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 Pollutant(s) Estimation Method*

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General

Aviation, Air

Taxis

1978, 1987,

1990, 1996,

1999, 2000, 

2001, & 2002

VOC, NOx, CO,

SO2, PM10, PM2.5

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, PM2.5

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, SO2,

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, PM2.5

2001 Estimates carried over. Used state data when

provided. (2004)

HAPs 1999 Estimates carried over. Used state data when

provided. (2004)
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 Pollutant(s) Estimation Method*

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CMV Diesel 1978, 1987,

1990, 1996,

1999, 2000, &

2001

VOC, NOx, CO,

SOx, PM10, & PM2.5, 

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 in EIA, 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, & PM2.5

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, SO2,

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, SO2,

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, SO2,

PM10, PM2.5

Estimation methods reported in EPA, 1998.
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 Pollutant(s) Estimation Method*

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-7

Locomotives

Class I, Class II,

Commuter,

Passenger, and

Yard

Locomotives

1978, 1987,

1990, 1996,

1999, 2000, 

2000, & 2002

VOC, NOx, CO,

PM10, PM2.5

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 NH3 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 nonengine 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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-8

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-9

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 Chrysene*

Acenaphthylene Dibenz(a,h)anthracene*

Anthracene Fluoranthene

Benzo(a)anthracene* Fluorene

Benzo(a)pyrene* Indeno(1,2,3-cd)pyrene*

Benzo(b)fluoranthene* Naphthalene

Benzo(ghi)perylene Phenanthrene

Benzo(k)fluoranthene* Pyrene
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-10

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-11

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 PAH

2,2,4-trimethylpentane Phenol*

Acetaldehyde Propionaldehyde

Acrolein Styrene

Formaldehyde Toluene

Lead Xylene

Benzene n-Hexane

Ethyl Benzene

* Added to 2002 Inventory
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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 
0179.02.001.001\nonroad vol-I-rv-3.wpd 2-13

Criteria 

Pollutant 

Emission 

Estimates

(Matched

Aircraft)

Figure 2-1. Procedures for Estimating Emissions from Commercial Air Carriers

Develop 

Average

Criteria 

Emission 

Factors

FAA

EDMS

FAA Domestic

LTO Data

and

EPA Foreign 

Flagged Aircraft 

LTO Data

Criteria Emission Estimates 

(Unmatched

Aircraft)

Combined Criteria 

Emission Estimates 

(Matched and 

Unmatched)

Speciate VOC

for HAPs

Apportion Emissions Based on 

Airport Activity Data for 

Commercial Aircraft

(2002 emissions were calculated 

for each airport individually)

Unmatched Aircraft

Matched

Aircraft

Criteria 

Pollutant 

Emission 

Estimates

(Matched

Aircraft)

Figure 2-1. Procedures for Estimating Emissions from Commercial Air Carriers

Develop 

Average

Criteria 

Emission 

Factors

FAA

EDMS

FAA Domestic

LTO Data

and

EPA Foreign 

Flagged Aircraft 

LTO Data

Criteria Emission Estimates 

(Unmatched

Aircraft)

Combined Criteria 

Emission Estimates 

(Matched and 

Unmatched)

Speciate VOC

for HAPs

Apportion Emissions Based on 

Airport Activity Data for 

Commercial Aircraft

(2002 emissions were calculated 

for each airport individually)

Unmatched Aircraft

Matched

Aircraft
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-14

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 
0179.02.001.001\nonroad vol I-rv-3.wpd 2-15

Apply

Criteria

Pollutant

Emission

Factors from

SIP

Guidance

Apportion

Emissions

Based on TAF

Airport Data for

Air Taxis and

General Aviation

Figure 2-2. Procedures for Estimating Emission from Air Taxis and General Aviation

Speciate

VOC/PM

into HAP

Emission

Estimates

Split into:

Jet-Propelled

and

Piston-Driven

Aircraft

FAA LTO

Data for 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, 2001d) 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, nationallyderived estimates were used in NEI for these years for Puerto Rico. Appendix E contains

individual summary sheets for each state that submitted aircraft data.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-19

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,

PM10 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,

PM10, and NH3. 

Wisconsin 

Replaced national estimates with state

submitted data for VOC, NOx and CO.
Table 2-2. Summary of State Submitted Aircraft Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-20

2002

Alabama



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Arkansas

 

Replaced national estimates with state data

for CO, NH3, NOx, PM10-PRI, PM25-PRI,

SO2, VOC, and Lead (only HAP).

Arizona (Maricopa

County) 

Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

California

 

Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2,

VOC, and 26 HAPs.

Colorado



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, 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, SO2,

VOC, and 24 HAPs.

Florida (Pinellas

County)  

Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, PM-PRI,

SO2, 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, SO2, and

VOC.

Idaho



Replaced national estimates with state data

for CO, NOx, PM-PRI, SO2, 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, SO2, and

VOC.

Massachusetts



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.
Table 2-2. Summary of State Submitted Aircraft Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-21

Maryland Replaced national estimates with state data

for CO, NOx, PM10-PRI, SO2, and VOC

Michigan Replaced national estimates with state data

for CO, NOx, SO2, and VOC.

Mississippi



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

North Carolina



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

New Hampshire  Replaced national estimates with state data

for CO, NOx, SO2, VOC, and 13 HAPs.

New Jersey



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Nevada (Clark

County) 

Replaced national estimates with state data

for CO, NOx, PM-PRI, SO2, and VOC. 

Pollutants were updated to reflect current

EPA pollutant codes.

Oregon

 

Replaced national estimates with state data

for NOx, PM10-PRI, PM25-PRI, SO2, VOC,

and 27 HAPs.

Rhode Island Replaced national estimates with state data

for CO, NOx, PM10-PRI, SO2, and VOC.

Tennessee



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Texas



Replaced national estimates with state data

for CO, NOx, PM10-FIL, PM10-PRI, PM25-

PRI, SO2, and VOC.

Utah



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC. Pollutants were updated to reflect

current EPA pollutant codes.

Virginia Replaced national estimates with state data

for CO, NOx, SO2, and VOC.

Wisconsin

 

Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2,

VOC, and 24 HAPs.
Table 2-2. Summary of State Submitted Aircraft Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-22

West Virginia



Replaced national estimates with state data

for CO, NOx, PM10-PRI, PM25-PRI, SO2, 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

SO2 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

PM2.5-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
Table 2-4. Aircraft HAP Emission Estimates 1990-2002 (TPY) (Continued)

Pollutant 1990 1996 1999 2002

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-24

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. 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-25

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. 2001d.

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 CY 1999

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 Ethylbenzene Propionaldehyde

Acetaldehyde Formaldehyde Selenium

Acrolein Lead Styrene

Benzene Manganese Toluene

Beryllium n-Hexane Xylene

Cadmium Nickel

Chromium PAH

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 SOxfor 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 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-28

Figure 2-3. Procedures for Estimating Emissions for CMV

Criteria Estimate for Marine

Diesel/Engines

Steamship Fuel

Consumption

Criteria Emission Factors

Criteria Estimates

for Steamships

HAP Speciation Profile

Criteria/HAP National Emission Estimates

County-Level Criteria/HAP

Emission Estimates

Underway Criteria/

HAP Emissions

DOT GIS Shipping Lane Traffic

Data Set Matched to Counties

County Level Underway

Criteria/HAP

Emission Estimates

County Level Port

Criteria/HAP

Emission Estimate

Cargo Handled at Top

150 Ports Matched

to Counties

Ports Criteria/

HAP Emissions
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-29

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/PM2.5 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.army.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 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-31

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, NOx, 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, NOx and CO.

2002

Alabama



Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Arkansas



Replaced national estimates with state data for

CO, NH3, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

California

 

Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, 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. 
Table 2-5. Summary of State Submitted CMV Data (Continued)

State Criteria HAPs Comments

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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, SO2, VOC,

and 36 HAPs.

Georgia



Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Indiana



Replaced national estimates with state data for

CO, NH3, NOx, PM10-PRI, PM25-PRI, PM-PRI,

SO2, 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, SO2, and

VOC.

Massachusetts



Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC. SCCs were updated to reflect current

EPA SCCs. 

Maryland



Replaced national estimates with state data for

CO, NOx, PM10-PRI, SO2, and VOC. SCCs

were updated to reflect current EPA SCCs. 

Maine

 

Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, VOC,

and 35 HAPs.

Michigan



Replaced national estimates with state data for

CO, NH3, NOx, PM10-PRI, PM25-PRI, PM-PRI,

SO2, 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, SO2, and

VOC.

North Carolina



Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.
Table 2-5. Summary of State Submitted CMV Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-33

New Jersey



Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, 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, SO2, 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,

SO2, 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, SO2, and VOC. SCCs

were updated to reflect current EPA SCCs.

Tennessee



Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Texas

 

Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, 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, SO2, and

VOC.

Wisconsin

 

Replaced national estimates with state data for

CO, NH3, NOx, PM10-PRI, PM25-PRI, PM-PRI,

SO2, VOC, and 14 HAPs.
Table 2-5. Summary of State Submitted CMV Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-34

West Virginia



Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, 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 nationallyderived 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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-35

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

SO2 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

PM2.5-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
Table 2-7. Commercial Marine Vessel HAP Emission Estimates 1990-2002 (TPY)

(Continued)

Pollutant 1990 1996 1999 2002

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-36

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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-37

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.army.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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-38

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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-39

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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-40

1,3-Butadiene

2,2,4-Trimethylpentane

Acetaldehyde

Acrolein

Benzene

Beryllium

Cadmium

Chromium (Hexavalent)

Chromium (Trivalent)

Ethyl Benzene

Formaldehyde

Lead

Manganese

Napthalene

n-Hexane

Nickel

PAH Propionaldehyde

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 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-41

National Criteria

Emission Estimates

HAP Emission

Factors

Figure 2-4. Overview of Approach Used to Estimate National Criteria Pollutant

and HAP Emissions

DOE Locomotive

Fuel Data

Criteria Emission

Factors

National HAP Emission Estimates

HAP Speciation

Profiles
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-42

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-tolocate 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-43

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. 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-44

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.
Table 2-8. State Submitted Locomotive Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-45

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, SO2, 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, SO2, 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, SO2, and

VOC. SCCs were updated to reflect current

EPA SCCs. 

California   Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, 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, SO2, 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, SO2, 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, SO2,

VOC, and 34 HAPs. SCCs were updated to

reflect current EPA SCCs. 
Table 2-8. State Submitted Locomotive Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-46

Georgia  Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Idaho  Replaced national estimates with state data for

CO, NOx, PM-PRI, SO2, 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,

SO2, 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, SO2, 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, SO2, and

VOC.

Massachusetts  Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC. SCCs were updated to reflect current

EPA SCCs. 

Maryland  Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC. SCCs were updated to reflect current

EPA SCCs. 

Mississippi  Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Fort Peck Tribe   Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, 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, SO2, and

VOC.

New Hampshire   Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, VOC,

and 20 HAPs. SCCs were updated to reflect

current EPA SCCs. 
Table 2-8. State Submitted Locomotive Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-47

New Jersey  Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, 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,

SO2, and VOC. Pollutants were updated to

reflect current EPA pollutant codes.

Oregon   Replaced national estimates with state data for

NOx, PM10-PRI, PM25-PRI, SO2, 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, SO2, and VOC. SCCs

were updated to reflect current EPA SCCs.

Tennessee  Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.

Texas   Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, 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, SO2, 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, SO2, VOC,

and 36 HAPs.
Table 2-8. State Submitted Locomotive Data (Continued)

State Criteria HAPs Comments

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-48

Wisconsin   Replaced national estimates with state data for

CO, NH3, NOx, PM10-PRI, PM25-PRI, PM-PRI,

SO2, VOC, and 27 HAPs.

West Virginia  Replaced national estimates with state data for

CO, NOx, PM10-PRI, PM25-PRI, SO2, and

VOC.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-49

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

SO2 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

PM2.5-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
Table 2-10. Locomotive HAP Emission Estimates 1990-2002 (TPY) (Continued)

Pollutant 1990 1996 1999 2002

jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-50

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-51

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 CMV SOx 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-52

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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-53

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 gasolinepowered 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-54

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);
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-55

County Fuel Program

is Identified

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

County Level VOC/PM

Estimate from Nonroad

Model

National

Activity/Fuel Usage

HAP/PM Speciation

Profiles are Applied

to County Level PM

Estimates

Nonroad Metal

HAP Emission

Factors

County Level HAP

Emissions Allocated

to County Based on

County/National PM

Ratios
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-56

 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). 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd 2-57

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-Trimethylpentane 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
Table 2-12. Other Nonroad HAP Emissions Estimates for 1990-1999 (Continued)

Pollutant 1990 1996 1999

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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

Pyrene 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/PM Speciation 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/qualityguidelines/).

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 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.

 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.
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 SOxfor aircraft included in the EDMS software. The national level criteria pollutant emission

estimates generated from EDMS are shown below:

Table A-1. 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

SOx 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-1) 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

Mode

EF

for PM10

EF

for PM2.5

EF

Units

Time

(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.

HCcommercial * Speciation Profilei = HAP Emissionscommercial i

Where: HCcommercial = Commercial aircraft HC estimate (tpy) for 

individual aircraft

 i = Pollutant

Speciation Profilei = HC speciation fraction for pollutant i (Table A-2)

Emissionscommercial i = 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-Trimethylpentane 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

Benz[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
Pollutant Turbo Fan Turbo Prop Combined

jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-5

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, & p 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 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-6

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 SOxfor 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). PM2.5 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

NOx 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-7

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, & 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 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 powered fleet 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-9

TOC/PM Speciation 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:

x = Engine type (Turbine/Piston) 

i = Pollutant

Speciation Profilexi = TOG speciation fraction for engine type x and 

pollutant i (Tables A-7 and A-8)

Emission Estimatexi = 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

Xylene 0.0044
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-10

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

Xylene 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 ProfileTurbine i = HAP Emission EstimateTurbine i

Where: 

 i = PAH species

 VOCTurbine = VOC estimate for turbine powered aircraft (TPY)

Speciation ProfileTurbine i = VOC speciation profile for species i (Table A-9)

Emission EstimateTurbine i = 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.

PM10 Piston * speciation profilePiston i = emission estimate Piston i

Where: 

i = PAH species

PM10 Piston = PM10 estimate for piston powered aircraft (TPY)

Speciation profilePiston i = PM10 speciation profile for species i (Table A-10)

Emission estimatePiston i = Piston emission estimate of PAH species i (TPY)

Example: Pyrene estimate for Piston Aircraft

Pyrene emissions = 1,172.6 tons of PM10 Piston * 1.24 E-3 Pyrene Fraction = 1.45 Tons of Pyrene
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-12

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

Pyrene 1.24E-03

Since there were no speciation profiles for turbine engines for benzo(b)fluoranthene,

benzo(k)fluoranthene, dibenz(a,h,)anthracene, indeno(1,2,3-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-11) using the following equations.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-13

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 SOxfor 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). PM2.5 emissions were derived by assuming

69% of PM10 is PM2.5, as noted in the 1998 NET.

Table A-11. 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-14

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-15

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-16

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/PM Speciation 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 = Engine type (Turbine/Piston) 

i = Pollutant

 Speciation profilexi = Speciation fraction for engine type x and pollutant i 

(Table A-11 and Table 12)

 Emission estimatexi = 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

Xylene 0.0044
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-17

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:

VOCTurbine* speciation profileTurbine i = HAP emission estimateTurbine i

Where: 

 i = PAH species

VOCTurbine = VOC estimate for turbine powered aircraft (TPY)

speciation profileTurbine i = VOC speciation profile for species i (Table A-15)

emission estimateTurbine i = 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-18

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 PM10 estimate * piston fleet fraction = PM10 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.

PM10 Piston * speciation profilePiston i = HAP emission estimatei

Where: 

 i = PAH Species

PM10 Piston = PM10 Estimate for Piston Powered Aircraft (TPY)

speciation profilepiston i = PM10 speciation profile for Species i (Table A-16)

emission estimatepiston i = Piston Emission Estimate of PAH Species i (TPY)

Example: 1,171.76 tons of PM10 Piston * 1.24 E-3 pyrene fraction = 1.45 tons of pyrene
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-19

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(1,2,3-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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-20

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 LTOs * emission factor = emission estimate 

Example: 1,762,803 LTOs*1.234 pounds HC/LTO*1 ton/2,000 pounds=1,087.65 tons of HC

The criteria emission factors for HC, NOx, CO, and SOxfor 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). PM2.5 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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd A-22

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/PM Speciation 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.
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-1). 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-1. 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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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 lb/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 PM10 CO

Steamship 1.27 54.45 25.8 3.7

A similar approach was also used for diesel SO2 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/PM10/2.5 * speciation profilei = HAP emission estimate:

Where: 

HAP emission estimate = HAP Emission estimate (tons/year) for pollutant: 

 VOC/PM10/2.5 = VOC or PM emission estimate (tons/year)

speciation profilei = VOC or PM speciation fraction for pollutant i (Tables B-3, 

B-4)
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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 PM10 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 PM2.5 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
Table B-4. Diesel-powered Vessel Speciation Profiles for 16-PAH Compounds (Continued)

Pollutant PM2.5 Speciation profile

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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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Example: 1.05E-7 tons of benzene/1000 gal x 82,808.4 1,000 gal of residual fuel = 0.01 tons

of benzene

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.army.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.army.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/PM Speciation Database Management

System. Version 3.1. Research Triangle Park, NC 2000.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd B-9

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.
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-1) 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-1. Criteria Pollutant Emission Factors

Pollutant SCC 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)

PM2.5 2285002006 6.03 gram/gallon (U.S. EPA 1997)

PM2.5 2285002007 6.03 gram/gallon (U.S. EPA 1997)

PM2.5 2285002010 8.28 gram/gallon (U.S. EPA 1997)
Table C-1. Criteria Pollutant Emission Factors (Continued)

Pollutant SCC Emission Factor Reference

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PM2.5 2285002009 6.03 gram/gallon (U.S. EPA 1997)

PM2.5 2285002008 6.03 gram/gallon (U.S. EPA 1997)

SOx(U.S. excluding CA) All 16.88 gram/gallon (Scarbro, 2002)

SOx(California) All 0.75 gram/gallon (Scarbro, 2002)

The SO2 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

SO2, 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.

SO2 emission factor = fuel sulfur concentration(weight %)* fuel density (lbs/gal)* molecular 

weight of SO2 * 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-1 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 of HAP/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 ( HAPg/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)
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

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Formaldehyde 0.454862 0.3852521 0.4194185 0.4487989 (Fritz, 2000)

Note: 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/PM10 (Truex, 1998)

Table C-5. Separate Hazardous Air Pollutant Speciation Profiles for U.S and CA 

Pollutant

Speciation Profile 

(U.S. except CA)

(ton/PM10)

Speciation Profile 

(CA)

(ton/PM10)

Reference

Benzo(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)

Benzo(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(1,2,3-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)

Pyrene 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 C4 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 0X 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd C-8

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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd C-9

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 CMV SOx 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.
Appendix D

 Other Nonroad Mobile Sources Emission Estimating Methods and Data
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-1

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-2

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 enginespecific speciation profiles for individual HAPs and specific fuels. These speciation profiles can be

found in Table D-1 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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-3

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-4

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-5

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-6

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/yr - 322,285,000 gallon/yr)*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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-7

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 PM10/ national PM10
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-8

Table D-1. 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
Table D-1. Speciation Profile for Specific Engines (Continued)

HAP Formaldehyde Reference

jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-9

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 0.037251 ERG (1999)

4-stroke Exhaust RFG/WO Ethanol HAP/VOC Fraction 0.047219 ERG (1999)

4-stroke Evaporative Baseline HAP/VOC Fraction 0.022 ERG (1999)
Table D-1. Speciation Profile for Specific Engines (Continued)

HAP Benzene Reference

jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-10

4-stroke Evaporative RFG/WO MTBE HAP/VOC

Fraction

0.015840 ERG (1999)

4-stroke Evaporative RFG/WO Ethanol HAP/VOC

Fraction

0.012540 ERG (1999)

Diesel HAP/VOC Fraction 0.020344 ERG (1999)

HAP Acetaldehyde 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)
Table D-1. Speciation Profile for Specific Engines (Continued)

jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-11

HAP Ethylbenzene 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 Styrene 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)
Table D-1. Speciation Profile for Specific Engines (Continued)

jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-12

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)
Table D-1. Speciation Profile for Specific Engines (Continued)

HAP Toluene Reference

jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-13

2-stroke Evaporative RFG/WO MTBE HAP/VOC

Fraction

0.027671 ERG (1999)

2-stroke Evaporative RFG/WO Ethanol HAP/VOC

Fraction

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)
Table D-1. Speciation Profile for Specific Engines (Continued)

jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-14

HAP Propionaldehyde 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
Table D-1. Speciation Profile for Specific Engines (Continued)

HAP 2,2,4-Trimethylpentane Reference

jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-15

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 2,3,7,8-TCDD TEQ 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 1.90705E-14 tons TEQ/gal ERG (1999)

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)
Table D-1. Speciation Profile for Specific Engines (Continued)

jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-16

HAP Methyl tert-butyl 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

Benz[a]Anthracene 0.000034 0.00010 0.0000071

Benzo[a]Pyrene 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

Indeno[1,2,3-c,d]Pyrene 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,]Perylene 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 D-17

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 III and Chromium VI using the ratios, 0.66

and 0.34 respectively.

Metal Manganese Reference

Default

2-Stroke Metal/Fuel Fractiona0.000035604 g/gal Ball (1997)

4-Stroke Metal/Fuel Fractiona0.000035604 g/gal Ball (1997)

Diesel Metal/Activity Fractionb1.37 ug/Bhp-hr Truex (1998)

Metal Nickel Reference

Default

2-Stroke Metal/Fuel Fractiona0.000077486 g/gal Ball (1997)

4-Stroke Metal/Fuel Fractiona0.000077486 g/gal Ball (1997)

Diesel Metal/Activity Fractionb2.035 ug/Bhp-hr Truex (1998)

a Combined average represents a weighted average of the USO6 and UDDS emission factors for each vehicle (the weighting being

28% for the USO6 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 ((USO6 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))+((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)
jt\0179.02.001.001\nonroad vol-I-rv3.wpd D-18

References:

Carroll, J.N. Emission Tests of In-use Small Utility Engines: Task III 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 and SCC-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.
Appendix E

State Database Summary Sheets for Draft NEI
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-1

Aircraft
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-2

STATE DATABASE SUMMARY REPORT

Source Category: Aircraft

State: Alabama

State/Local Agency Name: Alabama Department of Environmental Management

Contact Name, Address, Phone Number, Email:

Lisa B. 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, SO2, 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-3

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, SO2, 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-4

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, SO2, 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-5

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

aalexis@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, SO2, 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-6

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

aalexis@arb.ca.gov

(916) 323-1085

Counties Included/Number in State: 55 out of 58

Inventory Year: 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. 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-7

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, 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-8

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 E-9

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, SO2, 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[1,2,3-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 E-10

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.fl.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, SO2, 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[1,2,3-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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-11

STATE DATABASE SUMMARY REPORT

Source Category: Aircraft

State: Georgia

State/Local Agency Name: Georgia Environmental Protection Division

Contact Name, Address, Phone Number, Email:

Scott Southwick

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, SO2, 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-12

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, SO2, 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

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

Gary.Flispart@loukymetro.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, SO2, 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-14

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 Year: 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 E-15

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-16

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-17

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, 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-18

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, SO2, 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-19

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.yi.wu@pca.state.mn.us

(651) 282-5855

Counties Included/Number in State: 65 out of 87

Inventory Year: 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[1,2,3-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-20

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, SO2, 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-21

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

criley@ci.lincoln.ne.us

(402) 441-6202

(402) 441-8323 (fax)

Counties Included/Number in State: 1 out of 93

Inventory Year: 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.
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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

dhealy@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, SO2, 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 E-23

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

john.gorgol@dep.state.nj.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, 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-24

STATE DATABASE SUMMARY REPORT

Source Category: Aircraft

State: Nevada (Clark County)

State/Local Agency Name: DAQM

Contact Name, Address, Phone Number, Email:

Ebrahim Juma

juma@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, 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-25

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, 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-26

STATE DATABASE SUMMARY REPORT

Source Category: Aircraft

State: Oregon

State/Local Agency Name: ODEQ

Contact Name, Address, Phone Number, Email:

Jeffrey Stocum

stocum.jeffrey@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, SO2, 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[1,2,3-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 E-27

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-28

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.raymond@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-29

STATE DATABASE SUMMARY REPORT

Source Category: Aircraft

State: Rhode Island

State/Local Agency Name: RIDEM

Contact Name, Address, Phone Number, Email:

Karen Slattery

karen.slattery@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, 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-30

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

betterrj@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 E-31

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 E-32

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, 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-33

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, 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-34

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 Year: 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-35

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, PM10-FIL, 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-36

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 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-37

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

canielsen@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-38

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

canielsen@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 E-39

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, SO2, 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-40

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, SO2, 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[1,2,3-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-41

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, 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-42

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 Year: 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-43

Commercial Marine Vessels
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-44

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:

Lisa B. 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, SO2, 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-45

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 Year: 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-46

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

jkassel@envircon.state.ak.us

Alice (907) 465-5109

Joan (907) 465-5129

Counties Included/Number in State: added 23 port

Inventory Year: 1996

Inventory Type - Criteria, toxics, both: HAPs

# of HAPs in File:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-47

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-48

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

aalexis@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, SO2, 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, mXylene, 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-49

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

aalexis@arb.ca.gov

(916) 323-1085

Counties Included/Number in State: 21 out of 58

Inventory Year: 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-50

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-51

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[1,2,3-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-52

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 Southwick

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, SO2, 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-53

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, SO2, and VOC

# of HAPs in File: No 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-54

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

Gary.Flispart@loukymetro.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, SO2, 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-55

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, SO2, 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

III, 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-56

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, SO2, 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-57

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 Year: 1999

Inventory Type-Criteria, Toxics, both: Toxics

# of HAPs in file: 17 HAPs

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-58

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, SO2, 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

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@michigan.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, SO2, 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-60

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.yi.wu@pca.state.mn.us

(651) 282-5855

Counties Included/Number in State: 3 out of 87

Inventory Year: 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

III, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde, Hexane, Indeno[1,2,3-

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-61

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, SO2, 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-62

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

john.gorgol@dep.state.nj.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, SO2, 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-63

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.ny.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, SO2, 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-64

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, 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-65

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, SO2, and VOC

# of HAPs in File: No HAPs

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-66

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.jeffrey@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-67

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-68

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.raymond@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-69

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.slattery@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, 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-70

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, 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-71

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, 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-72

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, SO2, 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-73

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-74

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-75

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@ecy.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: No HAPs

General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-76

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, 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-77

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-78

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 Year: 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-79

Locomotives
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-80

STATE DATABASE SUMMARY REPORT

Source Category: Locomotives

State: Alabama

State/Local Agency Name: Alabama Department of Environmental Management

Contact Name, Address, Phone Number, Email:

Lisa B. 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, SO2, 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-81

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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-82

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

cjo@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-83

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: No HAPs

General Comments on File, if any:

HC emissions not used-incorrect format submitted 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-84

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

jkassel@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-85

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, SO2, 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-86

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: No HAPs

General Comments on File, if any:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-87

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

aalexis@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, SO2, 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: 30 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-88

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-89

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

aalexis@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-90

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, 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-91

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-92

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 III, Chromium IV,

Chrysene, Dibenzo[a,h]Anthracene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde,

Indeno[1,2,3-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-93

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, SO2, 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-94

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.fl.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, SO2, 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 III, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde, Hexane,

Indeno[1,2,3-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-95

STATE DATABASE SUMMARY REPORT

Source Category: Locomotives

State: Georgia

State/Local Agency Name: Georgia Environmental Protection Division

Contact Name, Address, Phone Number, Email:

Scott Southwick

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, SO2, 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-96

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, SO2, 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-97

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, SO2, 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-98

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, SO2, 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

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

Gary.Flispart@loukymetro.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, SO2, 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-100

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-101

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, SO2, 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-102

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-103

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, SO2, 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-104

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.yi.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, SO2, 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

III, Chrysene, Ethyl Benzene, Fluoranthene, Fluorene, Formaldehyde, Hexane, Indeno[1,2,3-

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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-105

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.yi.wu@pca.state.mn.us

(651)282-5855

Counties Included/Number in State: 83 out of 87

Inventory Year: 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 III, Chrysene, Ethyl Benzene,

Fluoranthene, Fluorene, Formaldehyde, Hexane, Indeno[1,2,3-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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-106

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, SO2, 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-107

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.Kelly@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, SO2, VOC

Formaldehyde

# of HAPs in File: 1 HAP

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-108

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

criley@ci.lincoln.ne.us

(402) 441-6202

Counties Included/Number in State: 1 

Inventory Year: 1999

Inventory Type - Criteria, toxics, both: Criteria

CO, CO2, NOX, PM10-PRI, SOX, VOC

# of HAPs in File: 0 HAPs
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-109

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

dhealy@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, SO2, 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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-110

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

john.gorgol@dep.state.nj.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, SO2, 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-111

STATE DATABASE SUMMARY REPORT

Source Category: Locomotives

State: Nevada (Clark County)

State/Local Agency Name: DAQM

Contact Name, Address, Phone Number, Email:

Ebrahim Juma

juma@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: No 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-112

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, 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-113

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: 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-114

STATE DATABASE SUMMARY REPORT

Source Category: Locomotives

State: Oregon

State/Local Agency Name: ODEQ

Contact Name, Address, Phone Number, Email:

Jeffrey Stocum

stocum.jeffrey@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, SO2, 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[1,2,3-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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-115

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, CO2, NOX, PM10-PRI, SOX, VOC

# of HAPs in File: 0 HAPs
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-116

STATE DATABASE SUMMARY REPORT

Source Category: Locomotives

State: Rhode Island

State/Local Agency Name: RIDEM

Contact Name, Address, Phone Number, Email:

Karen Slattery

karen.slattery@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, SO2, 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-117

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, SO2, 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-118

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, SO2, 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-119

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-120

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, SO2, 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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-121

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 Year: 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-122

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

Canielsen@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, SO2, 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-123

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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-124

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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-125

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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-126

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@ecy.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, SO2, 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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-127

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[1,2,3-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:
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-128

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, 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-129

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

Other Nonroad
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-131

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

aalexis@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, mXylene, 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.
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-132

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.raymond@epamail.epa.gov

Counties Included/Number in State:

Inventory Year: 1996

Inventory Type - Criteria, toxics, both: HAPs

# of HAPs in File: 19
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-133

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

9

th 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
jt\0179.02.001.001\nonroad vol-I-rv3.wpd E-134

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:
Appendix F

NEI Pollutant Codes for Hazardous Air Pollutants

 
jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-1

Table F-1. 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 Ethyleneglycolmono-2,6,8-Trimethyl-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'-Methylenedianiline

102 Benzo[b+k]Fluoranthene Polycyclic 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 Polycylic 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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-2

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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-3

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 Polycyclic 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 Tetrachloroethylene Tetrachloroethylene (Perchloroethylene)

129000 Pyrene Polycyclic 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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-4

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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-5

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 Trifluralin 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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-6

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[a,j]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)
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-7

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-Methylchrysene 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-Trimethylpentane 2,2,4-Trimethylpentane

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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

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

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 Polycyclic 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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-9

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))

Tetraacetic Acid

Glycol Ethers

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-Methylurea

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)

Ethylene)

Dde (1,1-Dichloro-2,2-Bis(p- Chlorophenyl)

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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-10

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 Polycyclic 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
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-11

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 Trichloroethylene Trichloroethylene

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 (Quintobenzene)
Table F-1. NEI Pollutant Codes for Hazardous Air Pollutants (Continued)

Pollutant

Code Pollutant Name HAP Group

jt\0179.02.001.001\nonroad vol-I-rv3.wpd F-12

832699 1-Methylphenanthrene Polycylic Organic Matter

83329 Acenaphthene Polycyclic Organic Matter as 15-PAH

84742 Dibutyl Phthalate Dibutyl Phthalate

85018 Phenanthrene Polycyclic Organic Matter as 15-PAH

85449 Phthalic Anhydride Phthalic Anhydride

86737 Fluorene Polycyclic 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