* — \
*1 PROt^
Documentation for the Nonroad Model Criteria
Air Pollutant Component for the National
Emissions Inventory (NEI) for Base Years
1970-2001

-------

-------
EP A-454/B-20-019
September 2003
Documentation for the Nonroad Model Criteria Air Pollutant Component for the National
Emissions Inventory (NEI) for Base Years 1970-2001
Prepared by:
E.H. Pechan & Associates, Inc.
3622 Lyckan Parkway, Suite 2002
Durham, NC 27707
Prepared for:
Office of Air Quality Planning and Standards
Emission Factor and Inventory Group
U.S. Environmental Protection Agency
Research Triangle Park, NC 27711
U.S. Environmental Protection Agency
Office of Air Quality Planning and Standards
Air Quality Assessment Division
Research Triangle Park, NC

-------
[This page intentionally left blank.]

-------
CONTENTS
Page
A.	INTRODUCTION 	1
1.	What Is the National Emissions Inventory? 	1
2.	What Is the Purpose of This Document? 	1
B.	WHAT METHODOLOGIES DID WE USE TO DEVELOP NONROAD EMIS SION
ESTIMATES?	1
1.	What Emissions Does the NONRO AD Model Estimate? 	2
2.	What Equipment Categories Are Included in the NONRO AD Model?	2
3.	How Did We Develop NONRO AD Model Emission Inventories? 	2
a.	How Did We Develop 1996 Base Year Emissions?	2
b.	How Did We Estimate Alternate Base Year Emissions? 	3
c.	How Did We Estimate Interim Year Emissions? 	4
d.	How Did We Estimate NH3 Emissions for NONRO AD Model Categories?	5
4.	Were NONRO AD Model Runs Performed for Any Specific States?	5
C.	WHAT METHODOLOGIES DID WE USE TO DEVELOP THE 1999 NONRO AD NEI? 6
D.	REFERENCES	7
APPENDIX A
NONRO AD MODEL S/L/T DATABASE SUMMARY REPORTS	 A-l
Tables
1.	Methods Used to Develop Annual Emission Estimates for
Nonroad Mobile Sources 	8
2.	Seasonal RVP Values Modeled for 1996 NONROAD Model Runs	12
3.	Counties Modeled with Federal Reformulated Gasoline 	14
4.	Oxygenated Fuel Modeling Parameters 	17
5.	Summary of Input Values for National NONROAD Model Runs	18
6.	Methods for Developing Versions 1 through 3 of the 1999 National Emissions Inventory . . 19
in

-------
[This page intentionally left blank.]

-------
A. INTRODUCTION
1.	What Is the National Emissions Inventory?
The National Emissions Inventory (NEI) is a comprehensive inventory covering all criteria
pollutants and hazardous air pollutants (HAPs) for the 50 United States, Washington DC, Puerto
Rico, and US Virgin Islands. The NEI was created by the U.S. Environmental Protection Agency's
(EPA's) Emission Factor and Inventory Group (EFIG) in Research Triangle Park, North Carolina.
The NEI will be used to support air quality modeling and other activities. To this end, we, the
EPA, established a goal to compile comprehensive emissions data in the NEI for criteria and HAPs
for nonroad mobile, onroad mobile, point, and nonpoint sources.
2.	What Is the Purpose of This Document?
This report summarizes the procedures we used to estimate emissions for the NONROAD
model category component of EPA's NEI. Criteria pollutant emission estimates are described in
this report, while NONROAD model HAP emission estimates, and aircraft, commercial marine
vessel (CMV) and locomotive emission estimates (both criteria and HAP) are addressed in the draft
report "Documentation for Aircraft, Commercial Marine Vessel, Locomotive, and Other Nonroad
Components of the National Emissions Inventory," (EPA, 2003). Table 1 summarizes the methods
applied and the pollutants for which emissions were estimated for all nonroad sources. Those
source categories and years that are included in this report are noted in bold.
B. WHAT METHODOLOGIES DID WE USE TO DEVELOP NONROAD EMISSION
ESTIMATES?
For several years the EPA's Office of Transportation and Air Quality (OTAQ) has been
developing an emissions model (NONROAD) to estimate emissions from nonroad sources. We
used the "Lockdown C" draft version of the NONROAD model (EPA, 2002) to generate emission
inventories for volatile organic compounds (VOCs), oxides of nitrogen (NOx), carbon monoxide
(CO), sulfur dioxide (S02), primary particulate matter with an aerodynamic diameter less than or
equal to 10 micrometers (PM-10), and primary particulate matter with an aerodynamic diameter less
than or equal to 2.5 micrometers (PM-2.5) for all gasoline, diesel, compressed natural gas (CNG),
and liquefied petroleum gas (LPG) nonroad equipment types at the 10-digit Source Classification
Code (SCC) level.
The NONROAD model does not contain emission factors to calculate ammonia (NH3)
emissions; therefore, we used fuel consumption estimates generated by the NONROAD model and
applied NH3 emission factors for diesel and noncatalyst gasoline vehicles as appropriate. For the
latest publicly-available version of the NONROAD model (NONROAD2002a), the reader is
referred to http://www.epa.gov/otaq/nonrdmdl.htm. The emission inventories produced by the
Lockdown C NONROAD model and the NONROAD2002a model should be comparable, although
there have been some enhancements to the model, including the addition of a NEI Input Format
(NIF) Version 2.0 reporting option.
1

-------
1. What Emissions Does the NONROAD Model Estimate?
The NONROAD model calculates emission estimates for hydrocarbon (HC), NOx, CO, S02,
PM-10, and PM-2.5. The model reports various HC species, including VOC, and breaks out the HC
emissions according to exhaust and evaporative components. PM-10 is assumed to be equivalent to
total PM, and PM-2.5 is assumed to be 92 percent of PM-10 for gasoline and diesel-fueled engines,
and 100 percent of PM-10 for LPG and CNG-fueled engines.
2.	What Equipment Categories Are Included in the NONROAD Model?
The NONROAD model includes the following general equipment categories:
agricultural;
airport support;
• light commercial;
construction and mining;
industrial;
lawn and garden;
logging;
pleasure craft;
railroad; and
recreational equipment.
The model generates emissions at subcategory levels lower than the general categories listed
above. The subcategories are equivalent to 10-digit SCCs, and correspond to specific nonroad
applications within a category.
3.	How Did We Develop NONROAD Model Emission Inventories?
We estimated nonroad emissions from two emission inventories including: 1) a 1996 county-
level inventory, developed using EPA's October 2001 draft NONROAD model (EPA, 2001); and
2) an updated year-specific national inventory, based on EPA's draft Lockdown C NONROAD
model (EPA, 2002). Using the county-level emission estimates referenced in (1), seasonal and
daily county-to-national ratios were then developed for application to updated national estimates
per season referenced in (2). As such, a description of the methods for developing 1996 county
emissions is provided below, followed by a discussion of the procedures for developing alternate
base year emissions (i.e., for 1997-2001, 1990, 1987, 1985, and 1978).
a. How Did We Develop 1996 Base Year Emissions?
We developed an updated 1996 county-level inventory using the EPA's October 2001 draft
NONROAD model. To develop the 1996 county-level inventory, we prepared NONROAD model
input files for each State to account for the average statewide temperatures and Reid vapor pressure
(RVP) for four seasons, including summer, fall, winter, and spring. Typical summer weekday runs
were also performed to estimate ozone season daily emissions, using the same inputs as the summer
season runs. We used these default state input files to calculate emissions for all counties in the
United States. Estimates for particular counties were replaced with county-specific estimates, if
2

-------
those counties had significant differences in their RVP, fuel characteristics due to reformulated
gasoline (RFG) and oxygenated fuel requirements, and Stage II controls.
Table 2 presents the statewide seasonal default RVP values used as input to the NONROAD
model. For areas subject to Phase 1 of the Federal RFG program, separate RVP values were
modeled in the 1996 NONROAD inputs for May through September (values not shown). Table 3
presents the areas and counties modeled with RFG. Oxygenated fuel was modeled in the areas
participating in this program in 1996, as presented in Table 4. Emissions calculated for counties
with fuel characteristic data that varied from statewide average values replaced emissions for these
same counties generated by running the default input files.
Pechan calculated seasonal, county-to-national emissions ratios for each 10-digit SCC and
pollutant based on county emissions divided by the sum total of county-level emissions for the
nation. This was done for each of the four seasons and a typical summer weekday. This ensured
that the fractions calculated for county-to-national emissions all added up to 1 at the national level.
b. How Did We Estimate Alternate Base Year Emissions?
Using the 1996 inventory described above as the basis for the county distribution, we prepared
updated emissions inventories for 1997-2001, 1990, 1987, and 1985 to reflect revisions made to the
NONROAD model since the October 2001 version. From the May 2002 draft Lockdown C
NONROAD model, we obtained national, seasonal emissions at the SCC level for the following
pollutants: VOC, NOx, S02, CO, PM-10, and PM-2.5. We also performed national NONROAD
model runs to estimate typical summer weekday emissions. Table 5 presents a summary of the
input values used for each of the national NONROAD model runs.
National, SCC-level emissions for each of the four seasons were then multiplied by the season-
specific county-to-national emissions ratios. The following formula represents how an updated
1999 county-level annual emissions inventory was developed for a given SCC and pollutant.
EAnn, Cty, y = Eke S, Cty,1996 -r Es , N,1996 ) * Es , N, y]
Where: E	=	Emissions, tons
Ann	=	Annual
S	=	Season (winter, spring, summer, fall)
Cty	=	County
N	=	National
y	=	year of inventory (e.g., 1999)
In this manner, the county-level distribution assumed for the 1996 inventory is normalized to
the updated national, SCC-level totals for alternate years. This approach ensures that the sum of all
county-level emissions for any year are equivalent to the national-level estimates and are distributed
to the counties according to the 1996 distribution.
3

-------
Because the NONROAD model estimates growth in local equipment populations using one
national average growth rate, the effects of growth should be reflected in the national-level runs for
each alternate year aside from the base year 1996. The effects of federal nonroad emission
standards in future years (e.g., years beyond 1996) would also be accounted for. Because the model
uses one average growth rate for the whole nation, the approach of using the 1996 county-level
inventory as a basis for geographically allocating national inventories for other years was assumed
to be reasonable. However, temperature and fuel inputs to reflect local conditions cannot be
accounted for when doing a national-level run for a specified year. We used this approach due to
time and resource constraints.
c. How Did We Estimate Interim Year Emissions?
In developing inventories for 1991 through 1995, we used the 1990 and 1996 county-level
inventories already completed as the basis for these interim year inventories. We estimated interim
year emissions using linear interpolation of national level emissions between 1990 and 1996, and
from these emissions calculated the average annual growth rate for each pollutant/SCC
combination. The following shows an example of how national, SCC, pollutant-specific emissions
were calculated for the year 1992:
^ 1992 _ ^ 1990 [(^ 1996 " ^199o) X 2/6]
To estimate 1993 emissions, we multiplied the above equation by 3/6 instead of 2/6, and to
estimate 1994, we multiplied by 4/6, etc. Based on the national rate of change for each
pollutant/SCC, growth factors were developed for each year, and were applied to 1990 county-level
emissions to estimate 1991, 1992, 1993, 1994, and 1995 emissions.
County-level inventories for 1986, 1988, and 1989 were developed using linear interpolation
between 1985 and 1990, using similar steps described for 1991 through 1995.
For many categories, the rate of change in emissions during this time period will largely be
dependent on the equipment population, as control programs are not in effect yet. The NONROAD
model predicts year-specific nonroad equipment populations by extrapolating from a linear
regression of national-level historical equipment populations. The growth rate does not vary by
county or State.
Because we do not maintain a comprehensive county-level database for the NEI for years prior
to 1985, we developed national-level estimates only for the years 1970, 1975, 1978, and 1980.
From the May 2002 draft Lockdown C NONROAD model, we obtained national, seasonal
emissions at the SCC level for the following pollutants: VOC, NOx, S02, CO, PM-10, and PM-2.5.
We also performed national NONROAD model runs to estimate typical summer weekday
emissions. Once the seasonal runs were completed, they were added to estimate annual emissions.
Table 5 presents a summary of the input values used for these historic national NONROAD model
runs.
4

-------
d. How Did We Estimate NH3 Emissions for NONROAD Model Categories?
We estimated NH3 emissions based on national, SCC-level fuel consumption estimates for all
engines, as reported by the May 2002 "Lockdown C" draft version of NONROAD. In this version
of NONROAD, fuel consumption estimates were available for LPG- and CNG-fueled equipment as
well. As with the criteria pollutant emission estimates, we estimated county-level fuel consumption
using season-specific county-to-national ratios developed for 1996 (based on EPA's October 2001
draft NONROAD model), applied to updated national fuel consumption values for 1999. The 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.
Once a county-level data base of fuel consumption was developed, we multiplied these activity
data by emission factors provided by OTAQ to estimate NH3 emissions. OTAQ derived the
emission factors primarily from light-duty onroad vehicle emission measurements (Harvey, 1983).
Results from the measurements were extrapolated to nonroad engines on a fuel consumption basis.
An emission factor value of 0.00352 grams (g)/mile, corresponding to gasoline non-catalyst
engines, was converted to the appropriate activity basis using a fuel economy of 43.6 miles/gallon.
This conversion results in an emission factor of 153.47 milligrams (mg)/gallon, which was applied
to fuel consumption estimates for 2-stroke and 4-stroke gasoline engines, as well as LPG engines.
Similarly, an onroad diesel engine emission factor of 0.00188 g/mile was converted to the
appropriate activity basis using a fuel economy of 88.2 miles/gallon. This calculation results in an
emission factor of 165.86 mg/gallon, which was applied to fuel consumption estimates for diesel
engines. These emission factor values are, in general, consistent with more recent studies on motor
vehicle NH3 emissions.
It should be noted that earlier versions of the inventory erroneously applied these gasoline
emission factors to CNG fuel consumption. Although reported as uncompressed gallons in the
NONROAD model, the fuel consumption estimates represent a gaseous, not liquid, volume. In
addition, during 2003 OTAQ performed a review of NH3 emission factors as applied to nonroad
engines, and developed new recommended emission factor values that will be used for subsequent
updated versions of the NEI (Harvey, 2003).
4. Were NONROAD Model Runs Performed for Any Specific States?
Yes, we performed separate runs for California using the May 2002 "Lockdown C" draft
version of the NONROAD model. We generated new results for diesel-fueled equipment SCCs to
account for a lower diesel fuel sulfur level in California compared to the rest of the nation (i.e., 120
parts per million by volume (ppmv) versus 2,700 ppmv for remaining States). County-to-State
ratios were developed and applied in a manner similar to the county-to-national ratios to produce an
updated diesel equipment inventory for California. These California results replace the diesel
equipment emissions generated from prior application of county-to-national ratios. As described
below, however, annual data submitted by California for 1999 replaced the NONROAD model
based estimates. Daily emissions estimates for California are still based on the EPA method.
5

-------
C. WHAT METHODOLOGIES DID WE USE TO DEVELOP THE 1999 NONROAD NEI?
Concurrent with the development of the default 1999 national emission estimates described
above, state and local agencies developed and provided emissions inventory data for their areas
based on local knowledge and activity information. These State and local agency data generally
replaced the national emission estimates when the pollutant, source category, and emission type
matched with the national estimates. However, for NONROAD model categories, because we
anticipate our default estimates to be of higher quality than estimates made by States using earlier
versions of NONROAD or with older EPA guidance, we only used State-submitted data in cases
where State or local agencies incorporated local equipment population or activity data into earlier
publically-available versions of NONROAD. Alternatively, a State may have used another
emission estimation method deemed by EPA to be representative for their State (e.g., California has
developed the Off-Road Model).
We accepted and incorporated NONROAD model category data for three States including
California, Pennsylvania, and Texas. California provided an annual criteria pollutant inventory for
all pollutants, with the exception of NH3. The inventory provided was a complete replacement for
EPA's NONROAD model based inventory, for all counties in California. We did not estimate
updated ozone season daily emissions from annual emissions submitted by California.
For Pennsylvania, we used typical summer day emission estimates provided for the recreational
marine category, since State-specific equipment populations were used as input for this category for
their NONROAD model runs. In addition, we incorporated Pennsylvania's emission estimates for
aircraft ground support equipment, since these estimates were developed using the Federal Aviation
Administration's (FAA) Emission Dispersion and Modeling System (EDMS), which is the
preferred method for this nonroad category. Pennsylvania provided daily emission estimates for all
criteria pollutants, except for PM-2.5 and NH3. We did not estimate updated annual emissions from
the daily emissions submitted by Pennsylvania.
Texas provided updated annual and typical summer weekday emission estimates for specific
nonroad equipment types. We incorporated revised VOC, NOx, and CO emission estimates for
equipment categories for which input values were replaced with area-specific data for the
NONROAD model runs. These categories included construction equipment, oil field equipment,
aircraft ground support equipment, and lawn and garden equipment. In addition, we zeroed out
emission estimates for specific areas and categories for which Texas indicated no nonroad activity
occurred. These included recreational marine vessels, off-road motorcycles, and diesel
snowblowers.
For all States, we did not augment the data records submitted with additional pollutant
estimates. Appendix A provides summary reports of the NONROAD model data incorporated into
the NEI. It should be noted that in converting the EPA-developed and the State-supplied data into
NIF Version 3.0, emission estimates that report less than 0.005 tons will have been rounded out to
zero, and have been removed from the database. As such, the lack of a daily record for a
corresponding annual emissions record does not imply that the daily emissions are necessarily zero,
but that the number of significant digits was not enough to be retained in the NIF Version 3.0.
6

-------
For the 1999 NEI, Version 3, we also made the following revisions to the prior version of the
1999 NEI (Version 2):
Added NONROAD model criteria pollutant emission estimates for the Territories of
Puerto Rico and the Virgin Islands;
Removed NH3 emissions for all CNG engines; and
Added additional data submitted by Texas for specific NONROAD model categories.
We prepared NONROAD model 1999 criteria pollutant emission estimates for the territories of
Puerto Rico and the Virgin Islands. Emission estimates were developed using per capita emission
factors developed from emission estimates and population for Collier County in Florida [Federal
Information Processing Standards (FIPS) 12 021], The population based emission factors were then
applied to 1999 population estimates for Puerto Rico and the Virgin Islands to estimate emissions.
Table 6 provides a summary of how the 1999 NEI was developed for each subsequent version.
D. REFERENCES
EPA, 2003. "Documentation for Aircraft, Commercial Marine Vessel, Locomotive, and Other
Nonroad Components of the National Emissions Inventory," prepared by Eastern Research
Group, Morrisville, NC for the U.S. Environmental Protection Agency, Office of Air Quality
Planning and Standards, Research Triangle Park, NC. October 29, 2001.
EPA, 2002. Greg Stella, U.S. Environmental Protection Agency, Office of Air Quality Planning and
Standards, Emission Factors and Inventory Group, e-mail transmission to Kirstin Thesing and
Melissa Dagan, E.H. Pechan and Associates, Inc., providing Lockdown C version of the
NONROAD model. May 23, 2002.
EPA, 2001. Laurel Driver, U.S. Environmental Protection Agency, Office of Air Quality Planning
and Standards, Emission Factors and Inventory Group, e-mail transmission to Kirstin Thesing
and Melissa Dagan, E.H. Pechan and Associates, Inc., providing the October 2001 version of
the NONROAD model. September 7, 2001.
Harvey, 2003. C. Harvey, U.S. Environmental Protection Agency, Office of Transportation and Air
Quality, e-mail entitled "NH3 Emission Updates," sent to K. Thesing, E.H. Pechan &
Associates, Inc. June 30, 2003.
Harvey, 1983. Craig Harvey, et al. "A Study of the Potential Impact of Some Unregulated Motor
Vehicle Emissions.," SAE Paper 830987. June 1983.
7

-------
Table 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
1999
VOC, NO„, CO, S02,
PM-10, PM-2.5
Using emission estimates from two emission inventories
including: 1) a 1996 county-level inventory, developed using
EPA's October 2001 draft NONROAD model; and 2) an
updated 1999 national inventory, based on EPA's draft
Lockdown C NONROAD model (dated May 2002). Using the
1996 county-level emission estimates, seasonal and daily
county-to-national ratios were then developed for application
to updated national estimates per season estimated from the
Lockdown C model. Replaced State-submitted data for
California for all NONROAD model categories; Pennsylvania
for recreational marine and aircraft ground support
equipment, and Texas for select equipment categories.

1996, 1997,
1998,2000 &
2001
VOC, NO„, CO, S02,
PM-10, PM-2.5
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, NO„, CO, S02,
PM-10, PM-2.5, 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.

1990
VOC, NO„, CO, S02,
PM-10, PM-2.5
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, NO„, CO, S02,
PM-10, PM-2.5, 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.
8

-------
Table 1 (continued)
Category
Base Year
Pollutant(s)
Estimation Method*
Nonroad Gasoline,
Diesel, LPG, and
CNG
(Continued)
1987
VOC, NO„, CO, S02,
PM-10, PM-2.5
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, NO„, CO, S02,
PM-10, PM-2.5
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, NO„, CO, S02,
PM-10, PM-2.5
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.

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. (2002)
9

-------
Table 1 (continued)
Category
Base Year
Pollutant(s)
Estimation Method*
Aircraft
All Aircraft
Categories
2002
VOC, NOx, CO, S02,
PM10, PM25
2001 Estimates carried over (2003)


HAPs
1999 Estimates carried over (2003)
Commercial Aircraft
1990, 1996,
1999, 2000, &
2001
VOC, NOx, CO, SOx
Input landing and take-off (LTO) data into Federal Aviation
Administration (FAA) Emissions and Dispersion and Modeling
System (EDMS). National emissions were assigned to airports
based on airport specific LTO data and BTS GIS data. State data
replaced national estimates. (2002)

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. (2002)
General Aviation, Air
Taxis
1978, 1987,
1990, 1996,
1999, 2000, &
2001
VOC, NOx, CO, S02,
PM10, PM25
Used FAA LTO data and EPA approved emission factors for
criteria estimates. Speciation profiles were applied to VOC
estimates to get national HAP estimates. State data replaced
national estimates. (2002)

1970-1998
VOC, NOx, CO, SOx,
PM10, PM25
Estimated emissions for interim years using linear interpolation
between available base years. (2003)

1990, 1996, &
1999
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. (2002)

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

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
VOC, NOx, CO, S02,
PM10, PM25
Used FAA LTO data and EPA approved emission factors for
criteria estimates. Representative HAP profiles were not readily
available, therefore HAP estimates were not developed. State
data replaced national estimates. (2002)

1970-1998
VOC, NOx, CO, SOx,
PM10, PM25
Estimated emissions for interim years using linear interpolation
between available base years. (2003)
Auxiliary Power Units
1985-2001
VOC, NOx, CO, S02,
PM10, PM25
Grew 1996 emissions to each year using LTO operations data
from the FAA. Estimation methods prior to 1996 reported in EPA,
1998.
Unpaved Airstrips
1985-2001
PM10, PM25
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 Refueling
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, S02,
PM10, PM25
2001 Estimates carried over


HAPs
1999 Estimates carried over
CMV Diesel
1978, 1987,
1990, 1996,
1999, 2000, &
2001
VOC, NOx, CO, SOx,
PM10, & PM25,
Used criteria emission estimates in the background document for
marine diesel regulations for 2000. Adjusted 2000 criteria emission
estimates for other used based on fuel usage. Emissions were
disaggregated into port traffic and underway activities. Port
emissions were assigned to specific ports based on amount of
cargo handled. Underway emissions were allocated based on
Army Corp of Engineering waterway data. State data replaced
national estimates. (2002)
10

-------
Table 1 (continued)
Category
Base Year
Pollutant(s)
Estimation Method*
CMV Diesel
(continued)
1970-1998
VOC, NOx, CO, SOx,
PM10, PM25
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. (2002)

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, & PM25
Calculated criteria emissions based on EPA SIP guidance.
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. (2002)

1970-1998
VOC, NOx, CO, SOx,
PM10, PM25
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. (2002)
Military Marine
1997-2001
VOC, NOx, CO, S02,
PM10, PM25
Applied EGAS growth factors to 1996 emissions estimates for this
category.
CMV Coal,1 CMV,
Steam powered,
CMV Gasoline1
1997-1998
VOC, NOx, CO, S02,
PM10, PM25
Applied EGAS growth factors to 1996 emissions estimates for this
category.
CM Coal, CMV,
Steam powered,
CMV Gasoline,
Military Marine
1991-1995
VOC, NOx, CO, S02,
PM10, PM25
Estimation methods reported in EPA, 1998.
Locomotives
Class I, Class II,
Commuter,
Passenger, and Yard
Locomotives
1978, 1987,
1990, 1996,
1999,	2000,
2000,	& 2002
VOC, NOx, CO, PM10,
pm25
Criteria pollutants were estimated by using locomotive fuel use
data from DOE EIA and available emission factors. County-level
estimates were obtained by scaling the national estimates with the
rail GIS data from DOT. State data replaced national estimates.
(2002)

1978, 1987,
1990, 1996,
1999, 2000,
2001,& 2002
S02
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. (2002)

1970-1998
VOC, NOx, CO, SOx,
PM10, PM25
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. (2002)

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 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.
11

-------
Table 2. Seasonal RVP Values Modeled for 1996 NONROAD Model Runs
Seasonal RVP (psi)

FIPS State




State
Code
Winter
Spring
Summer
Autumn
AL
01
12.4
9.3
7.5
8.8
AK
02
14.1
13.7
13.0
13.7
AZ
04
8.2
7.1
6.8
6.9
AR
05
13.7
9.5
6.8
10.1
CA
06
11.9
9.3
6.9
7.6
(Los
Angeles
Region)





CA
06
11.7
10.8
6.9
7.6
(San
Francisco





Region)





CO
08
12.5
10.1
7.8
9.4
CT
09
13.0
9.8
7.9
9.8
DE
10
13.5
10.0
7.9
9.0
DC
11
12.0
8.1
7.0
8.1
FL
12
11.8
7.4
7.4
7.4
GA
13
12.4
9.3
7.4
8.7
HI
15
10.0
10.0
9.8
10.0
ID
16
12.8
10.4
8.6
9.1
IL
17
14.1
10.2
7.8
9.0
IN
18
14.5
10.9
8.8
9.8
IA
19
14.9
11.2
9.0
11.2
KS
20
12.7
8.9
7.6
8.2
KY
21
13.4
9.5
8.4
9.5
LA
22
12.4
9.4
7.6
8.9
ME
23
13.2
10.3
9.0
10.3
MD
24
13.2
9.7
7.5
8.6
MA
25
12.9
9.7
7.8
9.7
Ml
26
14.1
9.9
7.4
9.9
MN
27
14.9
11.4
9.0
10.4
MS
28
13.7
9.5
7.1
8.8
MO
29
12.6
10.0
7.2
9.4
MT
30
13.8
10.4
8.7
10.4
NE
31
13.9
10.6
8.6
9.2
NV
32
9.6
8.0
7.6
7.8
NH
33
12.9
9.7
7.8
9.7
NJ
34
13.7
10.5
8.8
10.5
NM
35
11.7
9.2
7.8
9.0

-------
Table 2 (continued)
Seasonal RVP (psi)
State
FIPS State
Code
Winter
Spring
Summer
Autumn
NY
36
14.3
10.9
8.8
10.9
NC
37
12.4
10.3
7.4
9.7
ND
38
14.9
11.9
9.0
11.2
OH
39
14.6
11.0
8.7
9.8
OK
40
13.9
9.1
7.2
8.2
OR
41
12.3
9.8
7.7
8.7
PA
42
14.4
10.9
8.8
10.9
Rl
44
12.9
9.7
7.8
9.7
SC
45
12.4
10.3
7.4
9.7
SD
46
14.4
11.2
9.0
9.9
TN
47
12.7
10.4
7.3
9.8
TX
48
12.2
9.7
7.8
8.7
UT
49
12.5
10.6
7.8
9.4
VT
50
14.9
11.4
9.0
11.4
VA
51
11.8
8.2
7.2
8.2
WA
53
14.0
10.6
8.5
9.5
WV
54
14.6
11.0
8.8
9.9
Wl
55
14.6
11.1
9.0
10.1
WY
56
13.0
10.4
8.8
9.3
CA
57
11.7
10.8
6.9
7.6
Note: For areas receiving reformulated gasoline May through September, RVP
values were modeled in place of the values shown here.
13

-------
Table 3. Counties Modeled with Federal Reformulated Gasoline
State (American Society for Testing and
Materials (ASTM) Class)/
Nonattainment Area County
State (ASTM Class)/
Nonattainment Area County
Arizona (B)
Maine (C)
Phoenix
Knox & Lincoln Counties
Maricopa Co
Knox Co
Connecticut (C)
Lincoln Co
Greater Connecticut
Lewiston-Auburn
Hartford Co
Androscoggin Co
Litchfield Co
Kennebec Co
Middlesex Co
Portland
New Haven Co
Cumberland Co
New London Co
Sagadahoc Co
Tolland Co
York Co
Windham Co
Maryland (B)
New York-Northern New Jersey-Long Island
Baltimore
Fairfield Co
Anne Arundel Co
District of Columbia (B)
Baltimore
Washington DC
Baltimore Co
Washington
Carroll Co
Delaware (C)
Harford Co
Philadelphia-Wilmington-T renton
Howard Co
Kent Co
Kent & Queen Annes Counties
New Castle Co
Kent Co
Sussex County
Queen Annes Co
Sussex Co
Philadelphia-Wilmington-Trenton
Illinois (C)
Cecil Co
Chicago-Gary-Lake County
Washington DC
Cook Co
Calvert Co
Du Page Co
Charles Co
Grundy Co
Frederick Co
Kane Co
Montgomery Co
Kendall Co
Prince Georges Co
Lake Co
Massachusetts (C)
McHenry Co
Boston-Lawrence-Worcester-Eastern MA
Will Co
Barnstable Co
Indiana (C)
Bristol Co
Chicago-Gary-Lake County
Dukes Co
Lake Co
Essex Co
Porter Co
Middlesex Co
Kentucky (C)
Nantucket Co
Cincinnati-Hamilton
Norfolk Co
Boone Co
Plymouth Co
Campbell Co
Suffolk Co
Kenton Co
Worcester Co
Louisville
Springfield/Pittsfield-Western MA
Bullitt Co
Berkshire Co
Jefferson Co
Franklin Co
Oldham Co
Hampden Co

Hampshire Co
14

-------
Table 3 (continued)
State (American Society for Testing and
Materials (ASTM) Class)/
Nonattainment Area County
State (ASTM Class)/
Nonattainment Area County
New Hampshire (C)
New York (C)
Manchester
Poughkeepsie
Hillsborough Co
Dutchess Co
Merrimack Co
Putnam Co
Portsmouth-Dover-Rochester
Pennsylvania (C)
Rockingham Co
Philadelphia-Wilmington-Trenton
Strafford Co
Bucks Co
New Jersey (C)
Chester Co
Allentown-Bethlehem-Easton
Delaware Co
Warren Co
Montgomery Co
Atlantic City
Philadelphia Co
Atlantic Co
Rhode Island (C)
Cape May Co
Providence
New York-Northern New Jersey-Long Island
Bristol Co
Bergen Co
Kent Co
Essex Co
Newport Co
Hudson Co
Providence Co
Hunterdon Co
Washington Co
Middlesex Co
Texas(B)
Monmouth Co
Dallas-Fort Worth
Morris Co
Collin Co
Ocean Co
Dallas Co
Passaic Co
Denton Co
Somerset Co
Tarrant Co
Sussex Co
Houston-Galveston-Brazoria
Union Co
Brazoria Co
Philadelphia-Wilmington-T renton
Chambers Co
Burlington Co
Fort Bend Co
Camden Co
Galveston Co
Cumberland Co
Harris Co
Gloucester Co
Liberty Co
Mercer Co
Montgomery Co
Salem Co
Waller Co
New York (C)
Virginia (B)
New York-Northern New Jersey-Long Island
Norfolk-Virginia Beach-Newport News
Bronx Co
Chesapeake
Kings Co
Hampton
Nassau Co
James City Co
New York Co
Newport News
Orange Co
Norfolk
Queens Co
Poquoson
Richmond Co
Portsmouth
Rockland Co
Suffolk
Suffolk Co
Virginia Beach
Westchester Co
Williamsburg

York Co
15

-------
Table 3 (continued)
State (American Society for Testing and
Materials (ASTM) Class)/
Nonattainment Area County
State (ASTM Class)/
Nonattainment Area County
Virginia (B)
Wisconsin (C)
Richmond-Petersburg
Milwaukee-Racine
Charles City Co
Kenosha Co
Chesterfield Co
Milwaukee Co
Colonial Heights
Ozaukee Co
Hanover Co
Racine Co
Henrico Co
Washington Co
Hopewell
Waukesha Co
Richmond

Washington DC

Alexandria

Arlington Co

Fairfax

Fairfax Co

Falls Church

Loudoun Co

Manassas

Manassas Park

Prince William Co

Stafford Co

NOTE: California reformulated gasoline was modeled statewide in California.
16

-------
Table 4. Oxygenated Fuel Modeling Parameters
State
County
Market Shares (%)
Oxygen Content (%)
Oxygenated
MTBE
Alcohol Blends
MTBE
Alcohol Blends
Fuel Season
Alaska
Anchorage Ed
0
100
2.7
2.0
NOV-FEB (2007 & 2030)
Alaska
Anchorage Ed
0
100
2.7
2.0
NOV-DEC (1996 only)
Arizona
Maricopa Co
80
20
2.7
2.0
OCT-FEB
Colorado
Adams Co
75
25
2.7
2.0
NOV-FEB
Colorado
Arapahoe Co
75
25
2.7
2.0
NOV-FEB
Colorado
Boulder Co
75
25
2.7
2.0
NOV-FEB
Colorado
Douglas Co
75
25
2.7
2.0
NOV-FEB
Colorado
Jefferson Co
75
25
2.7
2.0
NOV-FEB
Colorado
Denver Co
75
25
2.7
2.0
NOV-FEB
Colorado
El Paso Co
75
25
2.7
2.0
NOV-FEB
Colorado
Larimer Co
75
25
2.7
2.0
NOV-FEB
Connecticut
Fairfield Co
90
10
2.7
2.0
NOV-FEB
Minnesota
Anoka Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Carver Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Dakota Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Hennepin Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Ramsey Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Scott Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Washington Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Wright Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Chisago Co
10
90
2.7
2.0
OCT-JAN
Minnesota
Isanti Co
10
90
2.7
2.0
OCT-JAN
Montana
Missoula Co
0
100
2.7
2.0
NOV-FEB
Nevada
Clark Co
0
100
2.7
2.0
OCT-MAR
Nevada
Washoe Co
95
5
2.7
2.0
OCT-JAN
New Jersey
Bergen Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Essex Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Hudson Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Hunterdon Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Mercer Co
95
5
2.7
2.0
JAN-FEB (1996 only)
New Jersey
Middlesex Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Monmouth Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Morris Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Ocean Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Passaic Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Somerset Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Sussex Co
95
5
2.7
2.0
NOV-FEB
New Jersey
Union Co
95
5
2.7
2.0
NOV-FEB
New Mexico
Bernalillo Co
15
85
2.7
2.0
JAN-FEB (1996 only)
New York
Bronx Co
95
5
2.7
2.0
NOV-FEB
New York
Kings Co
95
5
2.7
2.0
NOV-FEB
New York
Nassau Co
95
5
2.7
2.0
NOV-FEB
17

-------
Table 4 (continued)
Market Shares (%)	Oxygen Content (%)	Oxygenated
State
County
MTBE
Alcohol Blends
MTBE
Alcohol Blends
Fuel Season
New York
New York Co
95
5
2.7
2.0
NOV-FEB
New York
Queens Co
95
5
2.7
2.0
NOV-FEB
New York
Richmond Co
95
5
2.7
2.0
NOV-FEB
New York
Rockland Co
95
5
2.7
2.0
NOV-FEB
New York
Suffolk Co
95
5
2.7
2.0
NOV-FEB
New York
Westchester Co
95
5
2.7
2.0
NOV-FEB
New York
Orange Co
95
5
2.7
2.0
NOV-FEB
New York
Putnam Co
95
5
2.7
2.0
NOV-FEB
Oregon
Clackamas Co
1
99
2.7
2.0
NOV-FEB
Oregon
Jackson Co
1
99
2.7
2.0
NOV-FEB
Oregon
Multnomah Co
1
99
2.7
2.0
NOV-FEB
Oregon
Washington Co
1
99
2.7
2.0
NOV-FEB
Oregon
Josephine Co
1
99
2.7
2.0
NOV-FEB
Oregon
Klamath Co
1
99
2.7
2.0
NOV-FEB
Oregon
Yamhill Co
1
99
2.7
2.0
NOV-FEB
Texas
El Paso Co
15
85
2.7
2.0
NOV-FEB
Utah
Utah Co
20
80
2.7
2.0
NOV-FEB
Washington
Clark Co
1
99
2.7
2.0
NOV-FEB
Washington
King Co
1
99
2.7
2.0
JAN-FEB (1996 only)
Washington
Snohomish Co
1
99
2.7
2.0
JAN-FEB (1996 only)
Washington
Spokane Co
1
99
2.7
2.0
SEP-FEB
Wsconsin
St. Croix Co
10
90
2.7
2.0
OCT-JAN
Table 5. Summary of Input Values for National NONROAD Model Runs
Season
Input
Value
1970, 1975,
1980. and 1985
1987
1990
1996-2001
Summer
RVP (psi)
11.0
10.5
8.8
8.1
Fall & Spring
RVP (psi)
11.9
11.5
10.1
9.7
Winter
RVP (psi)
13.7
13.5
12.8
13.1
All Seasons
Diesel Fuel Sulfur (ppmv)
2,500
2,500
2,500
2,700'
'Sulfur value corresponds to national input value. For California-specific runs, a value of 120 ppm was used
18

-------
Table 6. Methods for Developing Versions 1 through 3 of the
1999 National Emissions Inventory
For
version
For the
category
For the
pollutant(s)
EPA estimated emissions by
Version 1

Nonroad
Gasoline,
Diesel,
LPG and CNG
VOC, NOx,
CO, S02,
PM-10,
PM-2.5
Calculating SCC-specific ratios (at the 10-digit SCC level) using updated,
national 1999 annual and typical summer day emission estimates (based on
June 2000 draft NONROAD model) divided by the previous 1996 national
values (based on April 1999 draft NONROAD model). County-level
emissions were calculated by multiplying each record in the existing 1996
inventory by the appropriate ratio for each SCC. Performed separate State-
level run for California diesel equipment, to reflect lower diesel fuel sulfur
content. Calculated SCC-specific ratios by dividing the updated 1999
California results by the previous 1996 results developed for diesel at the
State level. These ratios were applied to existing 1996 county-level records
for California.

Nonroad
Gasoline &
Diesel
nh3
Normalizing 1996 county, SCC-level fuel consumption values based on the
April 1999 draft NONROAD model to equal new 1999 national fuel
consumption from the June 2000 draft NONROAD model. Multiplied fuel
consumption by emission factor of 165.86 mg/gallon for diesel engines, and
153.47 mg/gallon for gasoline engines. No NH3 emissions were developed
for LPG-fueled equipment, since fuel consumption estimates were not
available.
Version 1.5

Nonroad
Gasoline,
Diesel,
LPG and CNG
VOC, NOx,
CO, S02,
PM-10,
PM-2.5
Calculating SCC-specific ratios (at the 10-digit SCC level) using updated,
national 1999 annual and typical summer day emission estimates (based on
December 2000 "Final Finding" NONROAD model) divided by the previous
1996 national values (based on June 2000 NONROAD model). County-level
emissions were calculated by multiplying each record in the existing 1996
inventory by the appropriate ratio for each SCC. Performed separate State-
level run for California diesel equipment, to reflect lower diesel fuel sulfur
content. Calculated SCC-specific ratios by dividing the updated 1999
California results by the previous 1996 results developed for diesel at the
State level. These ratios were applied to existing 1996 county-level records
for California.
Nonroad
Gasoline
& Diesel

nh3
Normalizing 1996 county, SCC-level fuel consumption values based on the
June 2000 NONROAD model to equal new 1999 national fuel consumption
from the December 2000 "Final Finding" NONROAD model. Multiplied fuel
consumption by emission factor of 165.86 mg/gallon for diesel engines, and
153.47 mg/gallon for gasoline engines. No NH3 emissions were developed
for LPG-fueled equipment, since fuel consumption estimates were not
available.
19

-------
Table 6 (continued)
For
version
For the
category
For the
pollutant(s)
EPA estimated emissions by
Version 2

Nonroad
Gasoline,
Diesel,
LPG and CNG
VOC, NOx,
CO, S02,
PM-10,
PM-2.5
Using emission estimates from two emission inventories including: 1) a 1996
county-level inventory, developed using EPA's October 2001 draft
NONROAD model; and 2) an updated 1999 national inventory, based on
EPA's draft Lockdown C NONROAD model (dated May 2002). Using the
1996 county-level emission estimates, seasonal and daily county-to-national
ratios were then developed for application to updated national estimates per
season estimated from the Lockdown C model. Replaced State-submitted
data for California for all NONROAD model categories; Pennsylvania for
recreational marine and aircraft ground support equipment, and Texas for
select equipment categories.

Nonroad
Gasoline,
Diesel,
LPG and CNG
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.
Version 3

Nonroad
Gasoline,
Diesel,
LPG and CNG
VOC, NOx,
CO, S02,
PM-10,
PM-2.5
Using same procedures as for the 1999 NEI Version 2, but added emission
estimates for the territories of Puerto Rico and Virgin Islands, and added
additional statewide data for Texas for select equipment categories.

Nonroad
Gasoline,
Diesel & LPG
nh3
Using same procedures as for the 1999 NEI Version 2, but removed NH3
emission estimates from CNG-fueled engines.
20

-------
APPENDIX A
NONROAD MODEL S/L/T DATABASE SUMMARY REPORTS

-------
State: California
State/Local Agency Name: California Air Resources Board
Contact Name, Address, Phone Number, Email:
Andy Alexis
California Air Resources Board
(916)323-1085
aalexi s@arb. ca. gov
Counties Included/Number in State: 58 out of 58
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria - Annual (Emission Type = 30)
VOC, NOx, CO, SOX, and PM10-PRI and PM-25-PRI
General Comments on File, if any:
Daily emissions were not provided, therefore used Lockdown C NONROAD model daily emissions
(Emission Type 29) for California. Changes to EM Table included:
1.	Changed SOX to S02.
2.	Rounded all emission values to 2 places to right of decimal, which created records with zero
emissions.
3.	Rule Effectiveness and Rule Penetration values changed to percentages to comply with NIF
2.0. Where rule effectiveness was null, changed to default of 100%.
A-2

-------
State: Pennsylvania
State/Local Agency Name: Pennsylvania DEP
Contact Name, Address, Phone Number, Email:
Robert Altenburg
Pennsylvania DEP
717-787-9495
raltenburg@state.pa.us
Counties Included/Number in State: 67 out of 67
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria - Daily (Emission Type = 28)
VOC, NOx, CO, SOX, and PM
General Comments on File, if any:
No annual emissions provided, therefore used Lockdown C NONROAD model annual emissions
(Emission Type 30) for these SCCs. Changes to EM Table included:
1.	Changed PM to PM10-PRI for above SCCs.
2.	Changed SOX to S02, changed NOx to NOX.
3.	Rounded all emission values to 2 places to right of decimal, which created records with zero
emissions.
4.	Rule Effectiveness and Rule Penetration values changed to percentages to comply with NIF
2.0. Where rule effectiveness was null, changed to default of 100%.
A-3

-------
State: Texas
State/Local Agency Name: Texas Commission on Environmental Quality (TCEQ)
Contact Name, Address, Phone Number, Email:
Melinda Torres
TCEQ
(512) 239-0058
Counties Included/Number in State: 254 out of 254
Inventory Year: 1999
Inventory Type - Criteria, toxics, both: Criteria - Annual and Daily (Emission Types = 30, 27)
VOC, NOx, and CO
General Comments on File, if any:
EPA did not augment the data to add the remaining criteria pollutants. Changes to EM Table
included:
1.	Rounded all emission values to 2 places to right of decimal, which created records with zero
emissions.
2.	Rule Effectiveness and Rule Penetration values changed to percentages to comply with NIF
2.0. Where rule effectiveness was null, changed to default of 100%.
A-4

-------
United States	Office of Air Quality Planning and Standards	Publication No. EPA-454/B-20-019
Environmental Protection	Air Quality Assessment Division	September 2003
Agency	Research Triangle Park, NC

-------