State of Illinois 

Rod R. Blagojevich, Governor 

Illinois Environmental Protection Agency 

Douglas P. Scott, Director 

Illinois Base Year 

Particulate Matter and Haze 

Inventory for 2002 

June 2006 

Illinois Base Year 

Particulate Matter and Haze 

Inventory for 2002 

AQPSTROS-04 

Illinois Environmental Protection Agency 

1021 North Grand Avenue East 

P.O. Box 19276 

Springfield, Illinois 62794-9276 

Draft: June 2006 
Table of Contents 

Section 

1.0 lntroduction ................................................................................................. 1 

2.0 Emission Inventory Summaries .................................................................. 3 

2.1 Background ...................................................................................... 3 

2.2 Methodology ................................................................................... .4 

2.2.1 Point Sources ........................................................................ 6 

2.2.2 Area Sources ........................................................................ 7 

2.2.3 Mobile Sources ..................................................................... 7 

2.3 Results ............................................................................................. 8 

2.3.1 Statewide Emissions ........................................................... 27 

2.3.2 Chicago NAA Emissions ..................................................... 28 

2.3.3 Metro-East NAA Emissions ................................................. 28 

2.3.4 Attainment Area Emissions ................................................. 28 

3.0 Point Sources ........................................................................................... 31 

3.1 Point Source Process Emissions ................................................... 32 

3.1.1 Source Identification and Data Collection ........................... 32 

3.1.2 Non-reactive VOM Emission Adjustments .......................... 32 

3.1.3 Emission Estimation Methodologies .................................... 32 

3.2 Point Source Fugitive Emissions ................................................... 32 

3.2.1 Fugitive Source Identification and Data Collection .............. 33 

3.2.2 Landfill Emission Estimation Methodology .......................... 33 

4.0 Area Sources ............................................................................................ 35 

4.1 Source Identification ...................................................................... 35 

4.1.1 Evaporative Emissions ........................................................ 35 

4.1.2 Combustion Emissions ........................................................ 36 

4.1.3 Particulate Matter ................................................................ 36 

4.1.4 Ammonia ............................................................................. 37 

4.1.5 Excluded Categories ........................................................... 37 

4.2 Emission Estimation Methods ........................................................ 38 

4.2.1 Sources of Data .................................................................. 38 

4.2.2 Rule Effectiveness and Rule Penetration ............................ 38 

4.2.3 Double Counting of Emissions ............................................ 39 

4.2.4 Estimating Emissions at the Township Level ...................... 39 

4.3 Categorical Emission Summary ..................................................... 39 

4.3.1 Agriculture ........................................................................... 39 

4.3.2 Aircraft Refueling ................................................................ .43 

4.3.3 Animal Husbandry .............................................................. .44 

4.3.4 Architectural Coating ........................................................... 50 

4.3.5 Asphalt Paving .................................................................... 51 
Section 

4.3.6 Automobile Refinishing ....................................................... 52 

4.3.7 Commercial Cooking ........................................................... 53 

4.3.8 Construction ........................................................................ 55 

4.3.9 Consumer Solvent Use ....................................................... 60 

4.3.1 0 Dry Cleaning ....................................................................... 61 

4.3.11 Forest Fires ......................................................................... 62 

4.3.12 Fuel Combustion- Commercial/lnstitutional ....................... 63 

4.3.13 Fuel Combustion -Industrial .............................................. 67 

4.3.14 Fuel Combustion- Residential ......................................... ..70 

4.3.15 Gasoline Marketing ............................................................. 78 

4.3.16 Graphic Arts ........................................................................ 82 

4.3.17 Incineration ......................................................................... 83 

4.3.181ndustrial Surface Coating ................................................... 85 

4.3.19 Marine Vessel VOL Loading and Transport ........................ 87 

4.3.20 Open Burning ...................................................................... 88 

4.3.21 Pavement Markings ............................................................ 92 

4.3.22 Portable Fuel Containers .................................................... 93 

4.3.23 Solvent Cleaning ................................................................. 95 

4.3.24 Structure Fires ..................................................................... 97 

4.3.25 Waste Water Treatment ...................................................... 98 

4.3.26 Biogenic Emissions ........................................................... 1 00 

5.0 Mobile Sources ....................................................................................... 1 01 

5.0.1 Categories of Mobile Sources ........................................... 1 01 

5.0.2 Categories and Components of Mobile Source 

Emissions .......................................................................... 1 02 

5.1 On-Highway Mobile Source Inventory ......................................... 103 

5.1.1 On-Highway Mobile Source Emissions Summary ............. 1 03 

5.1.2 Inventory Guidance and References ................................. 1 04 

5.1.3 Basic Concepts of On-Highway Mobile Source 

Emission Inventories ......................................................... 1 06 

5.1.4 Calculation of Daily Emissions .......................................... 121 

5.1.5 Calculation of Annual Emissions ....................................... 124 

5.2 Off-Highway Mobile Source Emissions ........................................ 125 

5.2.1 Estimating Off-Highway Emissions ................................... 125 

5.2.2 Off-Highway Modes of Transportation ............................... 125 

6.0 Quality Assurance .................................................................................. 143 

6.1 Purpose of the lnventory .............................................................. 143 

6.2 Scope of the Quality Assurance Plan .......................................... 143 

6.3 Summary of QA Activities ............................................................ 143 

6.3.1 Inventory and QA Planning ............................................... 144 

6.3.2 Resource Allocation for QA ............................................... 144 

6.3.3 Schedule and Project Planning ......................................... 144 

ii 
Section Page 

6.4 QA Technical Information ............................................................ 145 

6.4.1 Prioritizing Sources and Data Elements ............................ 145 

6.4.2 Data Sources and Checking Procedures .......................... 146 

6.5 Data Collection and Analysis ....................................................... 14 7 

6.5.1 Identification of Emission Sources .................................... 14 7 

6.5.2 Data Quality ...................................................................... 148 

6.5.3 Emission Estimation Methods ........................................... 149 

6.5.4 Consistency with Other States .......................................... 149 

6.5.5 Calculations and Data Handling ........................................ 150 

6.5.6 Validation Procedures ....................................................... 150 

6.6 Data Handling .............................................................................. 151 

6.6.1 Data Coding and Recording .............................................. 151 

6.6.2 Data Tracking .................................................................... 151 

6.6.3 Correcting Data ................................................................. 151 

6.6.4 Missing Data ..................................................................... 151 

6. 7 QA Audits ..................................................................................... 152 

6.7.1 lnternal .............................................................................. 152 

6. 7.2 External ............................................................................. 153 

7.0 Conclusion .............................................................................................. 155 

8.0 References ............................................................................................. 157 

Appendices 

A 

B 

c 

D 

E 

F 

G 

2002 Illinois Statewide Emissions by Category ............................ A-1 

2002 Illinois Chicago NAA Emissions by Category ...................... B-1 

2002 Illinois Metro-East NAA Emissions by Category ................. C-1 

2002 Illinois Attainment Area Emissions by Category .................. D-1 

2002 Illinois County Level Emissions ........................................... E-1 

Nonattainment Township Surrogates and Apportionment... ......... F-1 

Sample County Level Activity Data .............................................. G-1 

iii 
List of Tables 

Number 

2-1 Particulate Matter Inventory Annual Emissions .......................................... 9 

2-2 Statewide Emissions ................................................................................ 27 

2-3 Statewide Emission Contributions ............................................................ 27 

2-4 Geographic Contributions ......................................................................... 27 

2-5 Chicago NAA Emissions ........................................................................... 27 

2-6 Chicago NAA Emission Contributions ...................................................... 28 

2-7 Metro-East NAA Emissions ...................................................................... 28 

2-8 Metro-East NAA Emission Contributions .................................................. 28 

2-9 Attainment Area Emissions ....................................................................... 28 

2-10 Attainment Area Emission Contributions .................................................. 29 

3-1 Point Source Emissions ............................................................................ 34 

4-1 Fertilizer Application Emission Factors .................................................... .40 

4-2 Agricultural Fertilizer Application Emissions ............................................ .41 

4-3 Agricultural Pesticide Active Ingredient per Acre Factors ........................ .41 

4-4 Agricultural Pesticide Application Emissions ........................................... .42 

4-5 Agricultural Tilling Emissions ................................................................... .43 

4-6 Aircraft Refueling Emissions .................................................................... .44 

4-7 Beef Cattle Emissions ............................................................................. .46 

4-8 Dairy Cattle Emissions ............................................................................ .46 

4-9 Chicken Emissions .................................................................................. .47 

4-10 Goat Emissions ....................................................................................... .47 

4-11 Hog Emissions ......................................................................................... .48 

4-12 Horse Emissions ...................................................................................... .48 

4-13 Sheep Emissions ..................................................................................... .49 

4-14 Turkey Emissions ..................................................................................... 50 

4-15 Architectural Coating Emissions ............................................................... 51 

4-16 Asphalt Paving Emissions ........................................................................ 52 

4-17 Automobile Refinishing Emissions ............................................................ 53 

4-18 Percent of Restaurants with Each Type of Cooking Equipment ............... 54 

4-19 Average Number of Equipment Pieces by Restaurant Type .................... 54 

4-20 Average Pounds of Meat Cooked on Each Type of Equipment. ............... 54 

4-21 Commercial Cooking Emission Factors .................................................... 55 

4-22 Commercial Cooking Emissions ............................................................... 55 

4-23 Nonresidential Construction Emissions .................................................... 56 

4-24 Area Disturbed by Type of Structure ........................................................ 5? 

4-25 Residential Construction Emission Factors .............................................. 57 

4-26 Residential Construction Emissions ......................................................... 58 

4-27 Conversion from Spending to Miles of Road Construction ....................... 58 

4-28 Area Disturbed by Roadway Type ............................................................ 59 

4-29 Roadway Construction Emissions ............................................................ 59 

4-30 Consumer Solvent Use Emission Factors ................................................ 60 

iv 
Number 

4-31 Consumer Solvent Use Emissions ........................................................... 60 

4-32 Dry Cleaning Emissions ........................................................................... 61 

4-33 Forest Fire Emission Factors .................................................................... 62 

4-34 Forest Fire Emissions ............................................................................... 63 

4-35 Commercial/Institutional Fuel Combustion Emission Factors ................... 64 

4-36 Commercial/Institutional Natural Gas Combustion Emissions .................. 65 

4-37 Commercial/Institutional Distillate Oil Combustion Emissions .................. 65 

4-38 Commercial/Institutional Residual Oil Combustion Emissions .................. 65 

4-39 Commercial/Institutional Kerosene Combustion Emissions ...................... 65 

4-40 Commercial/Institutional LPG Combustion Emissions .............................. 67 

4-41 Industrial Fuel Combustion Emission Factors ........................................... 68 

4-42 Industrial Natural Gas Combustion Emissions .......................................... 69 

4-43 Industrial Distillate Oil Combustion Emissions .......................................... 69 

4-44 Industrial Residual Oil Combustion Emissions ......................................... 70 

4-45 Residential Fuel Combustion Emission Factors other than Wood ............ 71 

4-46 Statewide Residential Fuel Combustion Fuel Use .................................... 71 

4-47 Residential Natural Gas Combustion Emissions ...................................... 72 

4-48 Residential Distillate Oil Combustion Emissions ....................................... 72 

4-49 Residential Kerosene Combustion Emissions .......................................... 73 

4-50 Residential LPG Combustion Emissions .................................................. 73 

4-51 Residential Coal Combustion Emissions .................................................. 7 4 

4-52 Application of American Housing Survey .................................................. 75 

4-53 Residential Wood Combustion Emission Factors ..................................... 76 

4-54 Residential Wood Combustion Fireplace Emissions ................................ ?? 

4-55 Residential Wood Combustion Wood Stove Emissions ............................ ?? 

4-56 Stage I Emissions ..................................................................................... 78 

4-57 Stage II Emission Factors ......................................................................... 79 

4-58 Stage II Emissions .................................................................................... 80 

4-59 Tank Truck Leak Emission Factors .......................................................... 81 

4-60 Gasoline Tank Truck Leak Emissions ...................................................... 81 

4-61 Underground Storage Tank Breathing Emission Factors ......................... 82 

4-62 Underground Storage Tank Breathing Emissions ..................................... 82 

4-63 Graphic Arts Emissions ............................................................................ 83 

4-64 Incineration Emission Factors ................................................................... 84 

4-65 Industrial/Commercial/Institutional Incineration Emissions ....................... 84 

4-66 Industrial Surface Coating Emission Factors ............................................ 86 

4-67 Industrial Surface Coating Emissions ....................................................... 86 

4-68 Marine Vessel VOL Loading and Transport Emissions ............................ 88 

4-69 Prescribed Burning Emission Factors ....................................................... 89 

4-70 Prescribed Burning Emissions .................................................................. 89 

4-71 Residential Household Waste Combustion Emission Factors .................. 90 

4-72 Residential Household Waste Combustion Emissions ............................. 90 

4-73 Yard Waste Combustion Emission Factors .............................................. 91 

v 
Number 

4-74 Yard Waste Combustion Emissions ......................................................... 92 

4-75 Pavement Marking Emissions .................................................................. 93 

4-76 Commercial Portable Fuel Container VOM Emission Factors .................. 94 

4-77 Commercial Portable Fuel Container Emissions ...................................... 94 

4-78 Residential Portable Fuel Container Emission Factors ............................. 95 

4-79 Residential Portable Fuel Container Emissions ........................................ 95 

4-80 Solvent Cleaning Emission Factors .......................................................... 96 

4-81 Solvent Cleaning Emissions ..................................................................... 96 

4-82 Structure Fire Emission Factors ............................................................... 97 

4-83 Structure Fire Emissions .......................................................................... 97 

4-84 POTW Emissions ..................................................................................... 99 

4-85 Industrial Waste Water Treatment Emissions ......................................... 1 00 

4-86 Biogenic Emissions ................................................................................ 1 00 

5-1 On-Road Mobile Source Emissions ........................................................ 104 

5-2 Inventory Vehicle Types in MOBILE6 ..................................................... 1 06 

5-3 HPMS Functional Classes of Roads and Their Codes ........................... 1 08 

5-4 MOBILE6 Facility Types or Driving Cycles ............................................. 1 09 

5-5 Statewide Average VMT Mixes ............................................................... 112 

5-6 Summary of ADVMT. .............................................................................. 114 

5-7 Weekday Seasonal Division Factors for Application to Weekday ........... 118 

5-8 Monthly Factors to Convert ADVMT to Total Monthly VMT .................... 119 

5-9 MOBILE6.2 Inputs Used in this Inventory to Evaluate Summer 

Weekday Emission Factors .................................................................... 120 

5-10 Specialized MOBILE6 Inputs for Summer Weekday Refueling 

Emission Factors .................................................................................... 121 

5-11 1/M Fraction for Illinois Counties ............................................................. 124 

5-12 Statewide Facility Type Fractions ........................................................... 125 

5-13 Railroad Locomotive Emissions .............................................................. 126 

5-14 Aircraft Emissions ................................................................................... 127 

5-15 Fleetwide Emission Factors .................................................................... 134 

5-16 EDMS Emission Factors for Military Aircraft Based in lllinois ................. 135 

5-17 Particulate Matter Emission Factors for Aircraft. ..................................... 135 

5-18 Emissions from A PUs ............................................................................. 137 

5-19 Commercial Marine Vessel Emissions ................................................... 139 

5-20 NON ROAD Input Parameters for Summer Daily Emissions ................... 140 

5-21 NONROAD Input Parameters for Annual Emissions .............................. 141 

5-22 Off-road Engine Emissions ..................................................................... 141 

6-1 Potential Sources with 2002 Emissions not being Representative ......... 153 

6-2 Sources Making Comments on Data Sent to I ERG ................................ 154 

7-1 Emission Summary ................................................................................. 155 

7-2 Statewide Emission Contributions .......................................................... 155 

7-3 Chicago NAA Emission Contributions .................................................... 155 

7-4 Metro-East NAA Emission Contributions ................................................ 156 

vi 
Number 

7-6 Attainment Area Emission Contributions ................................................ 156 

7-7 Geographic Contributions ....................................................................... 156 

A-1 Statewide Emissions .............................................................................. A-1 

B-1 Chicago NAA Emissions ......................................................................... B-1 

C-1 Metro-East NAA Emissions .................................................................... C-1 

D-1 Attainment Area Emissions ..................................................................... D-1 

E-1 County Level CO Emissions ................................................................... E-1 

E-2 County Level NH3 Emissions ................................................................. E-3 

E-3 County Level NOx Emissions ................................................................. E-5 

E-4 County Level PM 10 Emissions ............................................................... E-7 

E-5 County Level PM2.5 Emissions .............................................................. E-9 

E-6 County Level S02 Emissions ............................................................... E-11 

E-3 County Level VOM Emissions .............................................................. E-13 

F-1 Nonattainment Township Surrogates and Apportionment ...................... F-1 

G-1 County Level Activity Data ...................................................................... G-1 

G-2 County Level Commercial/Institutional Fuel Use .................................... G-4 

G-3 County Level Industrial Fuel Use ............................................................ G-7 

G-4 County Level Residential Fuel Use ....................................................... G-10 

G-5 Average Daily Vehicle Miles of Travel by County and HPMS 

Functional Class ................................................................................... G-13 

G-6 Average Summer Weekday Vehicle Miles of Travel by County 

and HPMS Functional Class ................................................................. G-16 

G-7 Monthly VMT by County ....................................................................... G-19 

G-8 Aircraft Operations ................................................................................ G-22 

G-9 Animal Husbandry Population .............................................................. G-27 

vii 
List of Figures 

Number 

2-1 Annual CO Emi$sion Summary ................................................................ 1 0 

2-2 Annual NH3 Emission Summary .............................................................. 11 

2-3 Annual NOx Emission Summary .............................................................. 12 

2-4 Annual PM 10 Emission Summary ............................................................ 13 

2-5 Annual PM2.5 Emission Summary ........................................................... 14 

2-6 Annual S02 Emission Summary .............................................................. 15 

2-7 Annual VOM Emission Summary ............................................................. 16 

2-8 Statewide Geographic Contributions of Annual Emissions ....................... 17 

2-9 Chicago NAA Annual Emissions ............................................................... 19 

2-10 Metro-East NAAAnnual Emissions .......................................................... 21 

2-11 Attainment Area Annual Emissions .......................................................... 23 

2-12 Statewide Annual Emissions .................................................................... 25 

viii 
ADT 

ADVMT 

AER 

AFB 

AP-42 

APU 

ASWVMT 

BE IS 

BIOME3 

CAA 

CAERS 

CATS 

CERR 

C/1 

CMV 

CNG 

co 

CTG 

DVMT 

EDMS 

EGAS 

EIA 

EIIP 

EWGCC 

FAA 

FC 

FHWA 

FT 

HC 

HPMS 

IC 

ICEMAN 

IDOA 

lOOT 

I EPA 

I ERG 

IDS 

1/M 

ISS IS 

IWTF 

LAD CO 

LPG 

LTO 

MMT 

List of Acronyms 

Average Daily Traffic 

Average Daily Vehicle Miles Traveled 

Annual Emission Report 

Air Force Base 

Compilation of Air Pollutant Emission Factors 

Auxiliary Power Unit 

Average Summer Weekday Vehicle Miles Traveled 

Biogenic Emission Inventory System 

Biogenic Model for Emissions (version 3.0) 

Clean Air Act Amendments of 1990 

Computerized Annual Emission Reporting System 

Chicago Area Transportation Study 

Consolidate Emissions Reporting Rule 

Commercial/Institutional 

Commercial Marine Vessel 

Compressed Natural Gas 

Carbon Monoxide 

Control Technique Guideline 

Daily Vehicle Miles Traveled 

Environmental Data Management System 

Economic and Growth Analysis System 

Energy Information Administration 

Emission Inventory Improvement Program 

East-West Gateway Coordinating Council 

Federal Aviation Administration 

Functional Classes 

Federal Highway Administration 

Facility Type 

Hydrocarbon 

Highway Performance Monitoring System 

Internal Combustion 

Integrated Comprehensive Environmental Management System 

Illinois Department of Agriculture 

Illinois Department of Transportation 

Illinois Environmental Protection Agency 

Illinois Environmental Regulatory Group 

Inventory and Data Support Unit 

Inspection and Maintenance 

Illinois EPA's Illinois' Stationary Source Inventory System 

Industrial Wastewater Treatment Facility 

Lake Michigan Air Directors Consortium 

Liquefied Petroleum Gas 

Landing and Takeoff Operation 

Manure Management Train 

ix 
MPO 

MRI 

NAA 

NAAQS 

NAICS 

NH3 

NOx 

OAQPS 

OBVR 

PM10 

PM2.5 

POTW 

PUA 

QA 

QC 

RE 

ROP 

RP 

RVP 

sec 

SIC 

SIP 

SOCMI 

THC 

TIM 

TPD 

TPY 

TSDF 

USDA 

USEPA 

VMT 

VOL 

VOM 

Metropolitan Planning Organization 

Midwest Research Institute 

Nonattainment Area 

National Ambient Air Quality Standard 

North American Industrial Classification System 

Ammonia 

Oxides of Nitrogen 

US EPA Office of Air Quality Planning and Standards 

On-board Vapor Recovery 

Particulate Matter < 10 microns 

Particulate Matter< 2.5 microns 

Publicly-owned Treatment Works 

Public Use Airport 

Quality Assurance 

Quality Control 

Rule Effectiveness 

Rate of Progress 

Rule Penetration 

Reid Vapor Pressure 

Source Classification Code 

Standard Industrial Classification (code) 

State Implementation Plan 

Synthetic Organic Chemical Manufacturing Industry 

Total Hydrocarbons 

Time In Mode 

Tons per Day 

Tons per Year 

Hazardous Waste Treatment, Storage and Disposal Facility 

US Department of Agriculture 

US Environmental Protection Agency 

Vehicle Miles Traveled 

Volatile Organic Liquid(s) 

Volatile Organic Material 

X 
Executive Summary 

The 1990 Clean Air Act Amendments (CAA) requires all states to revise and submit 

State Implementation Plans (SIPs) for areas in non attainment of the National Ambient 

Air Quality Standards (NAAQS) for ozone. On April 4, 2005, US EPA designated two 

areas of the state in nonattainment for the particulate matter standard. The Chicago 

area matches the nonattainment area of the 8-hour ozone standard (Cook, DuPage, 

Kane, Lake, McHenry and Will Counties plus the townships of Aux Sable and Goose 

Lake in Grundy County and Oswego Township in Kendall County. The Metro-East 

nonattainment area includes Madison, Monroe and St. Clair Counties plus Baldwin 

Precinct in Randolph County. 

As part of the designation of nonattainment areas for the particulate matter standard, a 

new attainment demonstration SIP will be necessary. A key element in the overall SIP 

planning process is the need for an updated emission inventory. This document is the 

description of the methods used to compile the 2002 base year inventory for particulate 

matter. It includes CO, NH3, NOx, PM1 0, PM2.5, S02 and VOM emissions for point, 

area, on-road mobile, off-road mobile and biogenic emissions for the entire State of 

Illinois. 

The primary source of data for point sources was the source-reported 2002 annual 

emission reports (AERs). Area source emissions are typically estimated by multiplying 

an emission factor by a known indicator of activity (e.g., population) for a source 

category. On-road mobile source emissions were calculated using the MOBILE6 

computer model. Off-road mobile source emissions were calculated using the 

NON ROAD model. Biogenic emissions, those from vegetation, were obtained from 

USEPA's running of the BE IS model. 

To ensure this inventory is of the highest quality, Illinois EPA implemented quality 

assurance (QA) procedures and quality control (QC) checks throughout the inventory 

process. Illinois EPA specifically followed the procedures outlined in US EPA's guidance 

documents pertaining to inventory quality assurance and therefore believes the 

inventory to be complete, accurate and of high quality. 

1 
1 Introduction 

Title I of the 1990 Clean Air Act Amendments (CAA) requires all states to revise and 

submit State Implementation Plans (SIPs) addressing Title I requirements for areas in 

nonattainment for the National Ambient Air Quality Standards (NAAQS). The Chicago 

and Metro-East St. Louis (Metro-East) areas are currently designated as nonattainment 

areas for the particulate matter standard. 

The Chicago NAA includes the Counties of Cook, DuPage, Kane, Lake, McHenry and 

Will, plus the Townships of Aux Sable and Goose Lake in Grundy County and Oswego 

Township in Kendall County. The Metro-East NAA includes the Counties of Madison, 

Monroe, St. Clair and Baldwin Precinct of Randolph County. The US EPA designated 

these areas as nonattainment for the particulate matter standard on April 5, 2005. The 

designation of nonattainment areas for Regional Haze was made on December 17, 

2004. 

The primary source of data for point sources was the source-reported 2002 annual 

emission reports (AERs). Area source emissions are typically estimated by multiplying 

an emission factor by a known indicator of activity (e.g., population) for a source 

category. Calculation of emissions for area sources used 2002 category activity levels 

or in some cases, projections from previous years. Area source calculation 

methodologies were updated to the most recent calculation methods identified by 

US EPA. 

On-road mobile source emissions were estimated by multiplying appropriate emission 

factors generated from the MOB I LE6 computer model by vehicle miles traveled. Illinois 

EPA relied on 2002 VMT data generated by the Illinois Department of Transportation 

Office of Planning and Programming. 

Off-road mobile source emissions were calculated using the NON ROAD computer 

model. This model outputs emissions directly. The NON ROAD model does not 

included emission estimates for aircraft, locomotives and commercial marine vessels. 

Aircraft emissions were calculated using actual activity data (operations) for each 

airport. Emissions from locomotives and commercial marine vessels were obtained 

from LADCO who funded a study with Environ to obtain these emissions and describe 

the calculation methodology. 

Biogenic emissions, those from vegetation such as trees, shrubs, crops and other 

plants, were obtained from US EPA who used the Biogenic Emission Inventory System 

(BEIS). This data was compiled by US EPA and made available to the States for their 

optional use. 

To ensure this inventory is of the highest quality, Illinois EPA implemented quality 

assurance (QA) procedures and quality control (QC) checks throughout the inventory 

process. Illinois EPA specifically followed the procedures outlined in USEPA's guidance 

1 
I 

I 

I 

I 

I 

I 
2 Emission Inventory Summaries 

2. 1 Background 

This document presents the 2002 base year particulate matter emission inventory for 

CO, NH3, NOx, PM10, PM2.5, S02 and VOM from point, area, biogenic and mobile 

sources for the State of Illinois. This inventory includes the nonattainment areas of 

Chicago and Metro-East St. Louis as well as those counties that are in attainment. 

Four basic steps were involved in the preparation of the emission inventory. The first 

step was planning. As required by USEPA guidance, Illinois EPA prepared an Inventory 

Preparation Plan (IPP). This plan outlined the methods by which the Illinois EPA would 

assemble the 2002 inventory and perform QA/QC checks. The QA/QC plans and 

procedures are presented in Section 6.0. 

The second basic step was data collection. A major element in this step was to 

determine which source categories should be considered as point sources in the 

inventory and which should be considered area sources. Fundamentally different data 

collection procedures are used for these two source types. Actual emissions data 

reported in the sources' AERs are used to collect point source data, whereas collective 

information is generally used to estimate area source activity. Much more detailed data 

are collected and maintained on point sources. 

The third basic step in the inventory compilation effort involved analysis of data 

collected and the development of emission estimates for each source. Emissions were 

determined individually for each point source, whereas emissions were generally 

determined collectively for each area source category. Source emission data, material 

balances and emission factors were all used to make these estimates. Adjustments 

were made to the VOM inventory to reflect only reactive VOM 

The fourth step was reporting. Initially, Illinois EPA identified the kinds of data and 

formats that would be needed for this inventory document to fulfill USEPA inventory 

requirements. Later, Illinois EPA identified additional kinds of reports and features that 

would be useful or needed for future inventory needs and/or modeling requirements. 

These have been incorporated into this document. 

The geographic area covered in this inventory is the entire state of Illinois. There are 

two nonattainment areas (Chicago and Metro-East) with the remainder of the state 

being in attainment with the particulate matter standard. Illinois EPA used existing 

location coordinates in its ISS IS database to identify all point sources in the affected 

counties nonattainment counties and townships. 

Demographic data characterizing the various counties in the state are crucial to many of 

the emission estimation calculation procedures used to develop the inventory for area 

source categories. As such, these data are cited in the appropriate sections of Section 

3 
4.0- Area Sources. Details of how other factors were developed and used are 

explained in detail in the appropriate area and mobile source sections of the document. 

A number of agencies provided data for use in developing the Chicago and Metro-East 

nonattainment area inventories. The lead agency was the Illinois EPA which was 

directly responsible for coordinating and supervising the completion of each segment of 

the inventory. Several other state and local agencies contributed information to Illinois 

EPA that was necessary for preparing emission estimates. The majority of the highway 

vehicle emission calculation information was provided by I DOT. lOOT used federally 

approved transportation planning methods to develop VMT estimates which were based 

on monitored traffic count data in selected key locations throughout the state, including 

the Chicago area. Certain other localized traffic data were obtained from CATS for the 

Chicago ozone nonattainment area and the East-West Gateway Coordinating Council 

for the Metro-East ozone nonattainment area. 

2.2 Methodology 

A detailed emission inventory for a pollutant lists each source of that pollutant and the 

quantity of its emissions. The sources are usually categorized in two ways: (1) point, 

area or mobile sources or (2) industrial categories and subcategories. 

Process point sources are defined as those whose emissions are usually fairly well 

characterized and are generally discharged through stacks and which are required to 

possess an Illinois EPA issued permit. Fugitive point sources are not emitted from a 

discrete point but are emitted from numerous areas throughout a facility. Area sources 

are usually spread over wide areas with no distinct discharge points (e.g., a road or 

large parking lot) or are comprised of a large number of small point sources that are 

difficult to describe separately (e.g., the heating furnaces in individual homes in a city) 

and whose individual emissions are not so well characterized. Other examples of area 

sources include architectural surface coating, automobile refueling, dry cleaning and 

automobile refinishing. Mobile sources are divided in to two major categories- on-road 

and off-road. On-road mobile sources included cars, trucks, buses and motorcycles 

used for transportation of goods and passengers on roads and streets. Whereas, offroad mobile sources include other modes of powered transportation such as aircraft, 

trains, ships and motor vehicles used off-highway. This classification protocol has been 

utilized throughout this inventory document. 

A typical industrial plant may have difference source types associated with it. For 

example, a refinery with numerous industrial processes would itself be a process point 

source, the leaks from valves, pumps and fittings throughout the miles of piping would 

be a fugitive point source and the switch engine that moves tank cars on the railroad 

siding would be a non-highway mobile source. Also, a plant may have more than one 

industrial classification associated with it. The refinery in the previous example is in one 

industrial category; its tank farm is in another. Quantities of emissions may be 

measured directly (at the stack); they may be calculated from engineering principles 

4 
(e.g., mass balance); or they may be estimated (e.g., by assuming reasonable emission 

rates, times, etc.). Further, emissions can be expressed in terms of annual emissions, 

seasonal emissions or daily emissions. For this inventory, the units used are tons/year. 

Emission estimates presented in this report generally followed the methodologies 

outlines in US EPA's emission inventory preparation guidance document, Volumes I-IV 

and USEPA's "Reporting Guidance for 1996 Periodic Emissions Inventories and 

National Emission Trends (NET) Inventories" and other subsequent documents. Where 

different estimation methodologies were used, such methods are details. The emission 

estimates were seasonally adjusted to reflect average daily emissions during the 

summer months, which are generally considered the peak ozone season. For point 

sources, emissions were taken from source submitted data as reported in their 2002 

AERs. Mobile source emissions and certain area source emissions (e.g., gasoline 

refueling) were calculated using the average ambient temperature during the 

appropriate periods. In addition, adjustments were made to gasoline fuel-based 

categories to be representative of 2002 fuel volatility levels. Emission totals are 

calculated using data for 2002 whenever available. 

The VOM emission estimates provided in this document are for those VOMs determined 

by US EPA to be photochemically reactive. All identified nonreactive VOMs were 

excluded from the VOM totals reported here for all sources and source categories. 

Compounds considered to be nonreactive and therefore not included in the inventory 

are listed below: 

• Methane 

• Ethane 

• Methylene chloride 

• Methyl chloroform 

• Trichlorofluoromethane (CFC-11) 

• Dichlorodifluoromethane (CFC-12) 

• Chlorodifluoromethane (CFC-22) 

• Trifluoromethane (HFC-23) 

• Chlorofluoromethance (HCFC-31) 

• Difluoromethane (H FC-32) 

• Decafluoropentane (HFC-43-10mee) 

• Ethylfluoride (HFC-161) 

• Trichlorotrifluoroethane (CFC-113) 

• Dichlorotetrafluoroethane (CFC-114) 

• Chloropentafluoroethane (CFC-115) 

• 2,2-Dichloro-1, 1, 1-trifluoroethane (HCFC-123) 

• 1,1 ,2-Trifluoroethane (HCFC-123a) 

• 2-Chloro-1, 1,1 ,2-tetrafluoroethane (HCFC-124) 

• Pentafluoroethane (HFC-125) 

• 1,1 ,2,2,-Tetrafluoroethane (HFC-134) 

• 1,1,1,2-Tetrafluoroethane (HFC-134a) 

5 
• 1, 1-Dichloro-1-fluoroethane (HCFC-141 b) 

• 1-Chloro-1, 1 ,-difluoroethane (HCFC-142b) 

• 1,1,1-Trifluoroethane (HFC-143a) 

• Fluoroethane (HCFC-151a) 

• 1, 1-Difluoroethane (HFC-152a) 

• Pentafluoropropane (HFC-225ca) 

• Pentafluoropropane (HFC-225cb) 

• Hexafluoropropane (HFC-236ea) 

• Hexafluoropropane (HFC-236fa) 

• Pentafluoropropane (HFC-245ca) 

• Pentafluoropropane (HFC-245ea) 

• Pentafluoropropane (HFC-245eb) 

• Pentafluoropropane (HFC-245fa) 

• Pentafluorobutane (HFC-365mfc) 

• Parachlorobenzotrifluoride (PCBTF) 

• Methoxybutane 

• Nonaflourobutane 

• Heptafluoropropane ((CF3)2CFCF20CH3) 

• Heptafluoropropane ((CF3)CFCF20C2H5) 

• Perchloroethylene 

• Cyclic, branched or linear completely methylated siloxanes 

• Methyl acetate 

• Volatile methyl siloxanes 

• Acetone 

Also, the following four classes of perfluorocarbons (PFCs) 

• Cyclic, branched or linear completely fluorinated alkanes 

• Cyclic, branched or linear completely fluorinated ethers with no unsaturations 

• Cyclic, branched or linear completely fluorinated tertiary amines with no 

unsaturations 

• Sulfur containing perfluorocarbons with no unsaturations and with sulfur 

bonds only to carbon and fluorine 

2.2.1 Point Sources 

Emissions and source specific data for point sources were developed for the 2002 

inventory by Illinois EPA The primary source of data for point sources was source 

reported AERs and permit files. These data are reported by the sources annually as 

part of the inventory process conducted by Illinois EPA and include emissions, process 

rates, operating schedules, emission control data and other relevant information 

obtained from the permit files and plant inspections. The data was converted to an 

Access® database for processing and retrieval. 

6 
2.2.2 Area Sources 

Area sources were typically estimated by multiplying an emission factor by a known 

indicator of collective activity for each source category. Area source emissions for 1990 

were based on data available for population, employment and commodities and were 

generally prepared following the procedures described in the Inventory Preparation 

Plans. Emission estimates for 2002 emissions were developed by using 2002 category 

activity levels where available, or projections of changes in activity from 1990 levels. 

Emission controls were accounted for by using either adjusted emission factors or 

through the use of control factors. 

The narrative in Section 4.0 includes a discussion of the factors used to develop both 

the Chicago and Metro-East NAA emission estimates. Category summary tables 

reflecting Chicago and Metro-East NAA count emissions are also included. Although 

the methodologies used to determine attainment county emission estimates are similar, 

the factors will vary by county. Tables containing sample county activity data are 

included in Appendix G. 

2.2.3 Mobile Sources 

Statewide highway vehicle emissions were estimated by multiplying US EPA emission 

factors generated from the MOBILE6 computer model by VMT estimates by county for 

the two Illinois nonattainment areas and the attainment counties. Illinois EPA relied on 

VMT data generated by the I DOT Office of Planning and Programmhg. I DOT used 

urban transportation planning methodologies approved by the Federal Highway 

Administration to generate the necessary VMT estimates. Illinois EPA ran the 

MOBILE6 model to generate vehicle emission rates and calculate emission estimates. 

Chicago and Metro-East nonattainment area specific data were used whenever possible 

to estimate inputs into the MOB I LE6 model. For some parameters, however, sufficient 

resources were not available for Illinois EPA to develop area-specific values, so national 

average defaults contained in the model were used. For discussion of the inputs used 

in running MOBILE6 is included in Section 5.0. 

Emissions were also estimated for non-road equipment. In addition to using the 

NONROAD model to calculate emissions from most non-road equipment, Illinois EPA 

also calculated emission estimates for aircraft and locomotives using available activity 

data and US EPA approved emission factors. Further discussion of non-road equipment 

emission estimation methodologies and actual estimates are contained in Section 5.2. 

7 
2.3 Results 

The 2002 Base Year Emission Inventory summary of the total particulate matter 

emission estimates for the State of Illinois is shown in Table 2-1. These emissions 

cover the entire state and includes both anthropogenic (man-caused) and biogenic 

(vegetation-produced) emissions. 

The magnitude of the emissions for each pollutant by geographic region are delineated 

in the bar charts of Figures 2-1 through 2-7. The percentage contributions of the 

individual regions to the statewide total are shown in Figure 2-8. The pie charts of 

Figures 2-9 through 2-12 present the total emissions for each pollutant for each source 

category (point, area, on-road, off-road, etc.) for each geographic region of the state. 

Category summaries by pollutant for the 2002 statewide inventory are given in 

Appendices A through D. Appendix E presents a county-by-county summary of point, 

area, on-road and off-road emissions. Appendix F includes the surrogates used to 

apportion area source emissions to the nonattainment townships (portions of counties). 

Appendix G identifies sample activity data by county. 

8 
Table 2-1: Particulate Matter Inventory Annual Emissions (tons/year) 

Point Area On-Road Off-Road Animal Bioqenic 

Chicago NAA 

co 25,632.13 34,239.48 979,219.14 588,169.79 4,188.44 

NH3 143.70 3,708.77 5,986.95 46.29 1,415.55 NOx 54,049.62 32,325.06 167,619.73 87,426.24 1,682.52 

PM10 9,847.66 89,302.14 4,220.42 5,232.44 

PM2.5 2,756.61 22,356.04 3,070.58 4,834.30 

S02 121,597.92 3,290.25 3,850.04 3,742.62 

VOM 21,190.70 89,090.21 59,599.97 53,272.30 38,667.67 

Metro-East NAA 

co 20,332.44 5,867.20 114,770.47 28,305.56 2,517.50 

NH3 44.19 849.83 583.19 4.14 1,043.74 

NOx 34,453.30 1,818.84 16,389.90 7,411.29 956.03 

PM10 6,401.28 15,936.41 439.14 425.34 

PM2.5 2,313.93 3,973.79 325.17 392.57 

S02 54,541.90 196.26 616.06 394.28 

VOM 5,094.49 12,637.29 8,075.27 2,841.01 18,495.75 

Attainment Area 

co 45,920.52 54,009.93 1,071,767.29 268,126.74 72,753.83 

NH3 433.89 25,347.26 4,203.81 57.93 41,721.45 NOx 179,310.90 13,291.65 125,859.30 114,524.19 36,134.36 

PM10 20,326.21 402,029.56 3,195.34 7,676.90 

PM2.5 3,396.17 86,772.80 2,365.03 7,068.93 

S02 330,957.64 1,777.52 4,468.33 5,168.09 

VOM 50,399.42 120,662.72 75,820.56 36,495.83 471,419.82 

Statewide 

co 91,885.09 94,116.61 2,165,756.89 884,602.08 79,459.76 

NH3 621.78 29,905.87 10,773.96 108.36 44,180.74 

NOx 267,813.83 47,435.56 309,868.93 209,361.72 38,772.91 

PM10 36,575.15 507,268.11 7,854.90 13,334.68 

PM2.5 8,466.72 113,102.63 5,760.78 12,295.81 

S02 507,097.46 5,264.03 8,934.43 9,304.99 

VOM 76,684.60 222,390.22 143,495.81 92,609.13 528,583.23 

9 
3,500,000 

3,000,000 

2,500,000 2,000,000 

1,500,000 

1,000,000 

500,000 

Figure 2-1: Annual CO Emission Summary (tons/year) 

10 
90,000 

80,000 

70,000 

60,000 

50,000 

Figure 2-2: Annual NH3 Emission Summary (tons/year) 

11 
900,000 

800,000 

700,000 

600,000 

500,000 

400,000 

300,000 

200,000 

100,000 

0 

Figure 2-3: Annual NOx Emission Summary (tons/year) 

12 
600,000 

500,000 

400,000 

300,000 

200,000 

100,000 

Figure 2-4: Annual PM10 Emission Summary (tons/year) 

13 
140,000 

120,000 100,000 

80,000 

60,000 

40,000 

20,000 

Figure 2-5: Annual PM2.5 Emission Summary (tons/year) 

14 
Figure 2-6: Annual S02 Emission Summary (tons/year) 

15 
1,200,000 

1,000,000 

800,000 

600,000 

400,000 

200,000 

Figure 2-7: Annual VOM Emission Summary (tons/year) 

16 
Figure 2-8: Statewide Geographic Contributions of Annual Emissions 

CO Emissions (3,315,820.44 tons/year) 

Attainment Area 

45.6% 

Attainment Area 

83.8% 

Attainment Area 

53.7% 

Metro-East NAA 

NH3 Emissions (85,590.71 tons/year) 

NOx Emissions (873,252.94 tons/year) 

Chicago NAA 

49.2% 

Chicago NAA 

13.2% 

Metro-East NAA 

3.0% 

Chicago NAA 

39.3% 

Metro-East NAA 

7.0% 

Attainment A 

76.7% 

PM10 Emissions (565,032.84 tons/year) 

17 

Chicago NAA 

19.2% 
Figure 2-8: Statewide Geographic Contributions of Annual Emissions 

(continued) 

PM2.5 Emissions (139,625.94 tons/year) 

Attainment Area 

71.3% 

Chicago NAA 

23.6% 

502 Emissions (530,600.92 tons/year) 

Attainment Area 

64.5% 

Chicago NAA 

25.0% 

-East NAA 

VOM Emissions (1,063,762.98 tons/year) 

Attainment Area 

71.0% 

18 

Chicago NAA 

24.6% 

4.4% 
Figure 2-9: Chicago NAA Annual Emissions 

CO Emissions (1 ,631,448.97 tons/year) 

60.0% 

NH3 Emissions (11 ,301.27 tons/year) 

On-Road 

---- ---:::--- 53.0% 

1.3% 

NOx Emissions (343,103.17 tons/year) 

Off-Road 

48.9% 

PM10 Emissions (108,602.66 tons/year) 

9.1% Off-Road 

19 

Off-Road 

0.4% 

Biogenic 

0.5% 

Point 

15.8% 

3.9% 
Figure 2-9: Chicago NAA Annual Emissions 

(continued) 

PM2.5 Emissions (33,017.54 tons/year) 

Area 

8.3% 

67.7% 

Off-Road 

14.6% 

9.3% 

502 Emissions (132,480.84 tons/year) 

Point 

91.8% 

VOM Emissions (261 ,820.84 tons/year) 

Off-Road 

On-Road 

22.8% 

20.3% 

Area 

34.0% 

20 
Figure 2-10: Metro-East NAA Annual Emissions 

CO Emissions (171 ,793.17 tons/year) 

On-Road 66.8% 

NH3 Emissions (2,525.09 tons/year) 

On-Road 23.1 

Area 33. 

Point 1.8% 

NOx Emissions (61 ,029.36 tons/year) 

On-Road 26.9% 

Point 56.5% 

PM1 0 Emissions (23,202.16 tons/year) 

Area 68.7% 

Off-Road 16.5% 

Biogenic 1.5% 

Animal41.3% 

Biogenic 1.6% 

Point 27.6% Off-Road 1.8% 

21 
Figure 2-10: Metro-East NAA Annual Emissions 

(continued) 

PM2.5 Emissions (7,005.47 tons/year) 

On-Road 4.6% 

Off-Road 5.6% 

Point 33.0% 

502 Emissions (55,748.50 tons/year) 

Area 0.4% 

Point 97.8% 

VOM Emissions (47,143.80 tons/year) 

Biogenic 39.2% 

On-Road 17.1% 

Area 26.8% 

22 
Figure 2-11: Attainment Area Annual Emissions 

Animal58.1 

Off-Roa 

1.8% 

CO Emissions (1 ,512,578.30 tonsfyear) 

On-Road 

3.6% 3.0% 

NH3 Emissions (71,764.35 tonsfyear) 

Off-Road 0.1 

On-Road 5.9% 

NOx Emissions (469, 120.40 tonsfyear) 

Biogenic 

52.0% 

Off-Road 

12.7% 

On-Road 

14.0% 

PM10 Emissions (433,228.01 tonsfyear) 

On-Road 

0.7% 

23 

Off-Road 

17.7% 

Area 35.3% 

Point 

19.9% 
Figure 2-11: Attainment Area Annual Emissions 

(continued) 

PM2.5 Emissions (99,602.93 tons/year) 

Area 

87.1% 

3.4% 7.1% 

502 Emissions (342,371.59 tons/year) 

Point 

96.7% 

VOM Emissions (754,798.35 tons/year) 

Biogenic 

Off-Road 

4.8% On-Road 

10.0% 

24 

Area 

16.0% 

Area 

0.5% 

1.3% 

1.5% 

Point 

6.7% 
Figure 2-12: Statewide Annual Emissions 

CO Emissions (3,315,820.44 tons/year) 

On-Road 

NH3 Emissions (85,590.71 tons/year) 

Off-Road 

Area 

34.9% Point 

0.7% 

NOx Emissions (873,252.94 tons/year) 

Off-Road 

24.0% 

Area 

5.4% 

PM10 Emissions (565,032.84 tons/year) 

Area 

89.8% 

6.5% 2.4% 

25 

Off-Road 

26.7% 

nt 

nimal 

51.6% 
Figure 2-12: Statewide Annual Emissions 

(continued) 

PM2.5 Emissions (139,625.94 tons/year) 

Area 

81.0% 

Point Off-Road On-Road 

6.1% 8.8% 4.1% 

502 Emissions (530,600.92 tons/year) 

Point 

95.6% 

Off-Road 

8.7% 

VOM Emissions (1,063,762.98 tons/year) 

Biogenic· 

49.7% 

26 

Point 

7.2% 

1.8% 
2.3.1 Statewide Emissions 

Table 2-2: Statewide Emissions (tons/year) 

Cate!lorv co NH3 NOx PM10 PM2.5 502 VOM 

Point 91,885.09 621.78 267,813.83 36,575.15 8,466.72 507,097.46 76,684.60 

Area 94,116.61 29,905.87 47,435.56 507,268.11 113,102.63 5,264.03 222,390.22 

On-Road 2,165,756.89 10,773.96 309,868.93 7,854.90 5,760.78 8,934.43 143,495.81 

Off-Road 884,602.08 108.36 209,361.72 13,334.68 12,295.81 9,304.99 92,609.13 

Animal 44,180.74 

Biogenic 79,459.76 873,118.28 528,583.23 

Total 3,315,820.44 85,590.71 873,252.94 565,032.84 139,625.94 530,600.92 1 ,063, 762.98 

Table 2-3: Statewide Emission Contributions (percent) 

cateaOiV co NH3 NOx PM10 PM2.5 802 VOM 

Point 2.8 0.7 30.7 6.5 6.1 95.6 7.2 

Area 2.8 34.9 5.4 89.8 81.0 1.0 20.9 

On-Road 65.3 12.6 35.5 1.4 4.1 1.7 13.5 

Off-Road 26.7 0.1 24.0 2.4 8.8 1.8 8.7 

Biogenic 2.4 --- 4.4 --- --- --- 49.7 

Animal --- 51.6 --- --- --- --- ---

Table 2-4: Geographic Contributions (percent) 

Area co NH3 NOx PM10 PM2.5 802 VOM 

Chicago NAA 49.2 13.2 39.3 19.2 23.7 25.0 24.6 

Metro-East NAA 5.2 3.0 7.0 4.1 5.0 10.5 4.4 

Attainment Area 45.6 83.8 53.7 76.7 71.3 64.5 71.0 

2.3.2 Chicago NAA Emissions 

Table 2-5: Chicago NAA Emissions (tons/year) 

CateCiory co NH3 NOx PM10 PM2.5 502 VOM 

Point 25,632.13 143.70 54,049.62 9,847.66 2,756.61 121 ,597.92 21 '190. 70 

Area 34,239.48 3,708.77 32,325.06 89,302.14 22,356.04 3,290.25 89,090.21 

On-Road 979,219.14 5,986.95 167,619.73 4,220.42 3,070.58 3,850.04 59,599.97 

Off-Road 588,169.79 46.29 87,426.24 5,232.44 4,834.30 3,742.62 53,272.30 

Animal 1,415.55 

Biogenic 4,188.44 1,682.52 38,667.67 

Total 1,631,448.97 11,301.27 343,103.17 108,602.66 33,017.54 132,480.84 261,820.84 

27 
Table 2-6: Chicago NAA Emission Contributions (percent) 

Category co NH3 NOx PM10 PM2.5 502 VOM 

Point 1.6 1.3 15.8 9.1 8.3 91.8 8.1 

Area 2.1 32.8 9.4 82.2 67.7 2.5 34.0 

On-Road 60.0 53.0 48.9 3.9 9.3 2.9 22.8 

Off-Road 36.1 0.4 25.5 4.8 14.6 2.8 20.3 

Animal --- 12.5 --- --- --- --- --- Biogenic 0.3 --- 0.5 --- --- --- 14.8 

2.3.3 Metro-East NAA Emissions 

Table 2-7: Metro-East NAA Emissions (tons/year) 

Category co NH3 NOx PM10 PM2.5 502 VOM 

Point 20,332.44 44.19 34,453.30 6,401.28 2,313.93 54,541.90 5,094.49 

Area 5,867.20 849.83 1,818.84 15,936.41 3,973.79 196.26 12,637.29 

On-Road 114,770.47 583.19 16,389.90 439.14 325.17 616.06 8,075.27 

Off-Road 28,305.56 4.14 7,411.29 425.34 392.57 394.28 2,841.01 

Animal 1,043.74 

Biogenic 2,517.50 956.03 18,495.75 

Total 171,793,17 2,525.09 61,029.36 23,202.16 7,005.47 55,748.50 47,143.80 

Table 2-8: Metro-East NAA Emission Contributions (percent) 

Category co NH3 NOx PM10 PM2.5 502 VOM 

Point 11.8 1.8 56.5 27.6 33.0 97.8 10.8 

Area 3.4 33.7 3.0 68.7 56.7 0.4 26.8 

On-Road 66.8 23.1 26.9 1.9 4.6 1.1 17.1 

Off-Road 16.5 0.2 12.1 1.8 5.6 0.7 6.0 

Animal --- 41.3 --- --- --- --- --- Biogenic 1.5 --- 1.6 --- --- --- 39.2 

2.3.4 Attainment Area Emissions 

Table 2-9: Attainment Area Emissions (tons/year) 

Category co NH3 NOx PM10 PM2.5 502 VOM 

Point 45,920.52 433.89 179,310.90 20,326.21 3,396.17 330,957.64 50,399.42 

Area 54,009.93 25,347.26 13,291.65 402,029.56 86,772.80 1,777.52 120,662.72 

On-Road 1,071,767.29 4,203.81 125,859.30 3,195.34 2,365.03 4,468.33 75,820.56 

Off-Road 268,126.74 57.93 114,524.19 7,676.90 7,068.93 5,168.09 36,495.83 

Animal 41,721.45 

Biogenic 72,753.83 36,134.36 471,419.82 

Total 1,512,578.30 71,764.35 469,120.40 433,228.01 99,602.93 342,371.59 754,798.35 

28 
Table 2-10: Attainment Area Emission Contributions (percent) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Point 3.0 0.6 19.9 4.7 3.4 96.7 6.7 

Area 3.6 35.3 1.5 92.8 87.1 0.5 16.0 

On-Road 70.9 5.9 14.0 0.7 2.4 1.3 10.0 

Off-Road 17.7 0.1 12.7 1.8 7.1 1.5 4.8 

Biogenic 4.8 --- 52.0 --- --- --- 62.5 

Animal --- 58.1 --- --- --- --- ---

29 
I 

I 
3 Point Sources 

A major distinction typically made in emission inventories is that between point and area 

sources. In this inventory, point sources are sources for which individual records are 

maintained for that source. Such records are maintained for all Illinois sources having 

(or required to have) operating permits. For point sources, emission records are 

available to calculate each pollutant's emissions from all point source categories to less 

than 0.01 tons per year. Therefore, the 10 ton per year inventory requirement imposed 

by USEPA inventory guidance is more than adequately met for Illinois sources with 

permits. For instances where sources are operating below specified cut-off levels in the 

Illinois rules and are exempted from permit requirements, such as fuel burning units with 

heat input capacity of less than 10 million BTU/hr or printing operations using less than 

750 gallons of organic solvent per year, the 10 ton per year inventory requirement is still 

more than adequate. Moreover, the area source inventory accounts for emissions from 

such permit exempt sources using surrogate emission factors based on energy usage, 

population or other reliable data. The area source inventory contains emissions for all 

sources without permits. A more detailed discussion of the area source inventory is 

provided in Section 4. 

The 2002 base year particulate matter point source inventory was prepared by the 

Illinois EPA using source reported data from AERs for all point sources in Illinois. In the 

rare instances where companies failed to submit an AER for 2002, other data such as 

Illinois EPA estimates and previous annual emission reports were used. 

There are a few cases where emission data for a year other than 2002 was used. The 

main reason for using a different year, 2001, for some sources what that in reviewing 

reported emissions for sources in the years 2001-2003, it was discovered that 2002 was 

not a representative year for some sources. These sources are identified in Section 

6. 7 .1. Also, tools and methods for calculating PM2.5 emissions were not as available 

as they are today. The initial 2002 point source inventory included PM2.5 emissions 

only for coal fired utilities. A check of the 2005 inventory revealed emissions of PM2.5 

for that year were almost 4,000 tons higher than 2002. For those emission points that 

existed in 2002 and 2005 in the inventory that did not have PM2.5 emissions in 2002 

but did in 2005, the 2005 emission rates were used. 

In addition to the Chicago and the Metro-East NAAs, the remaining counties, described 

as the attainment area, are included. The attainment area includes the portions of 

Grundy and Kendall Counties that are not within the Chicago NAA, the portion of 

Randolph County not in the Metro-East NAA plus the remaining counties in Illinois not 

included in the two nonattainment areas. 

The point source inventory described herein is considered to be the most current and 

accurate source of emission data available for 2002. 

31 
3.1 Point Source Process Emissions 

The Illinois EPA defines point source process emissions as those which occur at an 

identifiable stationary stack or vent. Point source emissions not emitted from discrete 

stacks or vents are termed fugitive emissions and are discussed in Section 3.2. 

3.1.1 Source Identification and Data Collection 

Sources to be included in the 2002 inventory were identified using the ICEMAN 

database. Facility production and emission data are included in this database. This 

information is facility-reported actual 2002 emissions. 

3.1.2 Non-reactive VOM Emission Adjustments 

The ICEMAN database is capable of identifying emissions of photochemically nonreactive VOM. This data in ICEMAN was used to specifically exclude those compounds 

from the 2002 base year ozone inventory. A complete list of the compounds that 

US EPA has identified as being photochemically non-reactive and which are excluded 

from the inventory are listed in Section 2.2. 

3.1.3 Emission Estimation Methodologies 

Source reported actual emissions are used in the 2002 base year ozone inventory. 

Annual emission reports provided the ozone season hourly emissions and operating 

schedules that enabled the calculation of ozone season weekday emissions. Where 

operating schedules were missing or not required to be reported, Illinois EPA estimates 

we used. These estimates came from previously submitted annual emission reports or 

from permit applications. Typical emission estimation methodologies include material 

balance and emission factors. Schedules were adjusted for the ozone season based on 

summer throughput. 

3.2 Point Source Fugitive Emissions 

Another type of emission data which the Illinois EPA requires to be filed with the AER 

from point sources is fugitive emissions. Fugitive emissions are not released from a 

stack or a discrete point as are process emissions, but are emitted from an area. The 

ICEMAN database includes data on fugitive emissions from point sources so they are 

included in the point source inventory. 

32 
3.2.1 Fugitive Source Identification and Data Collection 

Fugitive emission point source categories included in the point source inventory are as 

follows: 

Petroleum Refineries 

• Fugitive Leaks 

• Wastewater Collection 

Synthetic Organic Chemical Manufacturing Industries (SOCMI) 

• Fugitive Leaks 

Iron and Steel Manufacture 

• Coke Oven Door Leaks 

• Hot and Cold Steel Rolling 

Waste Disposal 

• Municipal Landfills 

• Hazardous Waste Treatment, Storage and Disposal Facilities (TSDF) 

Dust/Roadways 

• Where these emissions are included in the permit 

Many other fugitive-type emissions are included in the point sources, though they tend 

to be smaller than those listed above. For those most part, these emissions are due to 

the use of solvents (e.g., clean-up). These emissions can also be included in area 

source emissions so care has been taken to not double-count these emissions. 

3.2.2 Landfill Emission Estimation Methodology 

New regulations adopted in 1999 have made it more common for municipal waste 

landfills to have an operating permit for their air emissions. This means landfills are 

increasingly represented in the point source inventory. However, there are a few 

landfills without a permit that still need to be included in the inventory. The Bureau of 

Land's Nonhazardous Solid Waste Management and Landfill Capacity Report1 was 

used to obtain a listing of landfills in the state. This list was reviewed against the 

landfills identified in ICEMAN. 

Emissions were calculated for landfills included in the report but not in ICEMAN using 

methodology of Section 2.4 of AP-422

. Data on amount of waste received, date the 

landfill started accepting waste, the date the landfill closed (if applicable) and the type of 

landfill gas collection (if applicable) from Reference 1 was used to calculate emissions. 

33 
Table 3-1: Point Source Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 13,352.30 49.12 18,466.88 4,113.40 1,009.77 25,335.10 12,520.72 

DuPage 766.52 6.37 918.04 204.96 11.77 129.19 1,479.95 

Grundy Twps 1,376.89 34.17 2,874.71 516.78 214.89 4,163.12 982.53 

Kane 489.58 5.68 544.09 315.54 13.36 37.62 1,624.78 

Kendall Twps 91.95 1.43 180.63 26.15 0.71 146.23 118.89 

Lake 1,569.16 3.88 6,478.64 920.69 289.09 12,195.22 1,042.46 

McHenry 294.85 1.78 317.90 192.77 4.11 9.97 652.01 

Will 7,690.85 41.26 24,268.74 3,557.38 1,283.81 7,9581.48 2,769.36 

Chicago NAA 25,632.13 143.70 54,049.62 9,847.66 2,756.61 121,597.92 21,190.70 

Madison 18,091.80 26.21 11 ,623.99 3,747.82 1,264.84 26,705.66 3,673.85 

Monroe 0.63 0.01 3.19 71.04 0.01 0.08 21.20 

Randolph Twps 1,840.02 2.50 22,396.13 2,152.45 1,038.35 26,295.22 337.83 

St. Clair 399.99 15.47 429.99 429.97 10.73 1,540.93 1 ,061.60 

Metro-East NAA 20,332.44 44.19 34,453.30 6,401.28 2,313.93 54,541.90 5,094.49 

Attainment Area 45,920.52 433.89 179,310.90 20,326.21 3,396.17 330,957.64 50,399.42 

State Total 91,885.09 621.78 267,813.83 36,575.15 8,466.725 507,097.46 76,684.60 

34 
4 Area Sources 

Area sources are those activities for which aggregated source and emission information 

is maintained for entire source categories rather than for each individual source. The 

Illinois EPA is responsible for preparing the area source emission inventory. The area 

source inventory includes emissions of CO, NH3, NOx, PM1 0, PM2.5, S02 and VOM 

for the entire state. Emission estimates are presented for the ozone nonattainment 

areas of Chicago and Metro-East St. Louis, as well as the remaining part of the state, 

which is in attainment with the 1-hour ozone standard. Where no township-specific 

information was available for the Chicago NAA counties of Grundy and Kendall and the 

Baldwin area of Randolph County, apportioning factors were developed and applied to 

estimate area source activity. This is discussed further in Section 4.2.4. 

4.1 Source Identification 

Area source categories have been identified from the list of sources provided in Table 

4.1-1 of the Procedures for the Preparation of Emission Inventories for Carbon 

Monoxide and Precursors of Ozone. Volume 1: General Guidance for Stationarv 

Sources3 and Emissions lnventorv Guidance for Implementation of Ozone and 

Particulate Matter National Ambient Air Quality Standards and Regional Haze4 The 

2002 area source inventory includes the following source categories. 

4.1.1 Evaporative Emissions (VOM) 

Gasoline Distribution 

• Aircraft Refueling 

• Gasoline Tank Trucks in Transit 

• Portable Fuel Containers 

• Tank Truck Unloading (Stage I) 

• Underground Storage Tank Breathing 

• Vehicle Fueling (Stage II) 

Stationary Source Solvent Usage 

• Agricultural Pesticide Application 

• Architectural Surface Coating 

• Asphalt Paving 

• Automobile Refinishing 

• Commercial/Consumer Solvents 

• Dry Cleaning 

• Graphic Arts 

• Industrial Surface Coating 

• Pavement Markings 

• Solvent Cleaning 

35 
Volatile Organic Liquid (VOL) Transfer- Ship and Barge 

• Barge and Tanker Cleaning 

• Tanker Ballasting 

• VOL Loading Losses 

• VOL Transport 

Biogenics (also includes CO and NOx) 

4.1.2 Combustion Emissions (CO, NH3, NOx, PM10, PM2.5, 502, VOM) 

Fuel Combustion (natural gas, distillate, residual oil, kerosene, LPG, wood and coal) 

• Commercial/Institutional 

• Industrial 

• Residential 

Open Burning 

• Forest Wildfires 

• Prescribed Burning 

• Residential Household Waste 

• Yard Waste 

Waste Combustion 

• Commercial/Institutional 

• Residential 

Other 

• Commercial Cooking 

• Structure Fires 

4.1.3 Particulate Matter 

Sources not included in any of the above categories 

• Agriculture 

o Tilling 

• Construction 

o Nonresidential 

o Residential 

o Roadway 

• Residential 

36 
4.1.4 Ammonia 

Sources not included in any of the above categories 

• Agriculture 

o Fertilizer application 

• Animal Husbandry 

o Cattle 

o Chickens 

o Goats 

o Hogs 

o Horses 

o Sheep 

o Turkeys 

4.1.5 Excluded Categories 

Some area source categories continue to be excluded from the emission inventory. 

Lack of USEPA guidance, generally accepted inventory methodologies and lack of 

activity data are the main reasons for their exclusion. These categories are: 

• Leaking Underground Storage Tanks 

• Commercial Pesticide Use 

Care should also be taken when trying to identify area source categories that were not 

inventoried since the emissions may be included in the point source inventory. As 

stated previously, the point source has a very low threshold of emission rates. This 

means that categories classified as area sources in other states are included in the 

point source inventory for Illinois. Categories falling into this category include: 

• Coal Combustion in Boilers 

• Drum/Barrel Operations 

• Flexible Polyurethane Foam Production 

• Industrial Adhesives 

• Oil and Gas Production 

• Pharmaceutical Manufacturing 

• Treatment, Storage and Disposal Facilities (TSDFs) 

37 
4.2 Emission Estimation Methods 

Several methodologies have been used in estimating area source activity levels and 

emissions. 

• Applying local activity levels 

• Apportioning national or statewide activity levels to the local level 

• Using per capita emission factors 

• Using per employee emission factors 

• Data from inventories compiled by others 

4.2.1 Sources of Data 

Various sources have been used to determine activity/commodity level data and 

emission information for area source inventory purposes. Among these are the 

US EPA's AP-42, USEPA's FIRE emission factor database, and data from federal and 

state agencies including USEPA's Office of Air Quality Planning and Standards, the US 

Department of Energy, US Bureau of Labor Statistics, Illinois Department of 

Transportation, Illinois Bureau of the Budget, Illinois Department of Conservation, Illinois 

Secretary of State, Illinois Department of Revenue and Illinois Department of 

Agriculture. 

4.2.2 Rule Effectiveness and Rule Penetration 

For area sources subject to a VOM control equipment regulation, a rule effectiveness 

(RE) factor has been applied to the control efficiency when determining the emission 

rates. The RE adjustment reflects the assumption that regulations typically are not 100 

percent effective at all sources at all times. For example, if an RE factor of 95 percent 

has been assumed, it is multiplied against the control efficiency before subtracting the 

efficiency from unity. 

In cases where a control regulation is applied to an area source category, a rule 

penetration (RP) adjustment may be required. The RP factor takes into account the fact 

that, due to exemptions within the rule, all sources within the category may not be 

regulated. Illinois EPA has used best judgment in the development and application of 

such factors. All assumptions have been documented. 

Due to the use of emission factors, rather than the independent calculation of 

uncontrolled emissions and subsequent control efficiencies, the use of RE and RP 

factors is limited. In addition, a number of rules regulating area source emissions deal 

with operational behavior (e.g., keeping the lid closed on a cold-cleaner) rather than the 

addition of control equipment. 

38 
4.2.3 Double Counting of Emissions 

A major concern in the development of an area source inventory is the possibility of 

double-counting emissions. Because some area source methodologies estimate 

emissions from all sources within a category, emissions already contained in the point 

source inventory may also be included in the area source estimate. In these instances, 

the point source emissions must be subtracted from the gross area source estimate to 

determine the net area source estimate. Commonly affected area source categories 

are: 

• Dry Cleaning 

• Fuel Combustion 

• Graphic Arts 

• Incineration 

• Solvent Cleaning 

The methodologies described in Section 4.3 indicate when point source emissions were 

subtracted. 

4.2.4 Estimating Emissions at the Township Level 

In addition to the Counties of Cook, DuPage, Kane, Lake, McHenry and Will, the 

Chicago NAA also includes Aux Sable and Goose Lake Townships in Grundy County 

and also Oswego Township in Kendall County. Likewise, the Metro-East NAA includes 

the counties of Madison, Monroe, St. Clair and Baldwin Precinct (hereafter referred to 

as "township") in Randolph County. Township-specific area source activity data is not 

always available. County emissions are apportioned to the township level using other 

surrogates related to the activity being estimated. These surrogates and their resulting 

percentages, are included in Appendix F. 

4.3 Categorical Emission Summary 

The following sections describe the calculation methodology, source of activity data, 

emission factor(s) used, the resulting emissions and any assumptions (if any) used to 

calculate emissions for the area source category. 

4.3.1 Agriculture 

4.3.1.1 Fertilizer Application 

Nitrogen containing fertilizers are extremely important to agriculture in Illinois. Many 

different chemical compounds are used to provide nitrogen in fertilizer, including: 

39 
• Ammonia 

• Urea 

• Ammonium Nitrate 

• Monoammonium Phosphate 

• Diammonium Phosphate 

• Ammonium Thiosulfate 

• Potassium Nitrate 

• Calcium Nitrate 

• Sodium Nitrate 

• N-P-K (nitrogen-phosphorous-potassium) 

Most of the compounds except the nitrates can decompose to release ammonia after 

they are applied to the land. This decomposition is commonly termed as "ammonia 

volatilization" and is quantified based on percentage of nitrogen in the applied fertilizer 

that is lost to the atmosphere in the form of ammonia. 

Ammonia emissions from fertilizer application were calculated by applying the 

appropriate emission factors to state-level estimates of the amount of nitrogen applied 

by each type of fertilizer. Nitrogen use from the Illinois Department of Agriculture was 

apportioned to the county level by the percentage of corn/soybean acreage of the entire 

state. Emissions for the nonattainment townships were apportioned by area. 

Emissions are calculated using the following equation. 

E = N * EF I 2000 

Where E = emissions (tons/year) 

N =amount of nitrogen applied (for each fertilizer type) 

EF =emission factor from Table 4-1 (lb/ton applied) 

Table 4-1: Fertilizer Application Emission Factors (lb NH3/ton N)6 

Fertilizer Type 

Anhydrous Ammonia 

Nitrogen Solutions 

Urea 

Ammonium Nitrate 

Ammonium Sulfate 

Ammonium Thiosulfate 

Other Straight Nitrogen 

Ammonium Phosphate 

N-P-K 

40 

Emission 

Factor 

24.0 

61.0 

364.0 

49.0 

194.0 

61.0 

61.7 

97.0 

97.0 

(4.1) 
Table 4-2: Agricultural Fertilizer Application Emissions (tons/year) 

4.3.1.2 Pesticide Application 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

NH3 

18.44 

12.69 

29.98 

183.35 

20.78 

32.28 

383.97 

272.14 

953.61 

246.77 

147.59 

13.43 

177.57 

585.36 

23,540.83 

25,079.79 

Pesticides are defined as any substance used to kill or retard the growth of insects, 

fungi, weeds or microorganisms. Due to lack of pesticide use data by state and local 

units of government and pest control and lawn care companies, emissions estimated 

herein represent only agricultural pesticide use. 

Data concerning the acreage planted in 2002 was obtained from the Illinois Agricultural 

Statistics Service? The most recent agricultural pesticide usage data was obtained for 

2002 from the Illinois Agricultural Statistics Service7

. VOM emissions for crops other 

than corn and soybeans were not considered because sufficient data were not available 

to analyze the counties of concern for other crops. In addition, the percentage of 

acreage planted and the total pesticide usage was minor in respect to the total of corn 

and soybeans. Table 4-3 shows the total agricultural pesticide active ingredients per 

acre factors in pounds per year, which were calculated by dividing the State total of 

active ingredient in pesticide applied in 2002 by the State crop acreage in 2002. 

Table 4-3: Agricultural Pesticide Active Ingredient per Acre Factors 

Type 

Corn herbicide 

Corn insecticide 

Soybean herbicide 

Lb VOM/acre/year 

2.1582 

0.0817 

1.0971 

In developing the emission estimates, it was assumed from Reference 3 the total of 

active ingredients in pesticides should be multiplied by 2.45 to reflect the active and 

inert ingredients. This total quantity should then be multiplied by a factor of 0.9 to 

41 
estimate the amount that evaporates and can be consequently considered as 

photochemically reactive VOM. Emissions for the nonattainment townships were 

calculated using the percentage of the area for the applicable township. 

E = Acres * EF I 2000 

Where E = emissions (tons/year) 

Acres = number of acres for a specific crop 

EF = emission factor (lb VOM/acre/year) 

Table 4-4: Agricultural Pesticide Application Emissions (tons/year) 

4. 3. 1. 3 Tilling 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

ChicagoNAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

VOM 

28.17 

22.12 

48.81 

301.93 

34.02 

1,003.77 

624.53 

436.65 

2,500.00 

408.78 

219.08 

19.36 

309.74 

956.96 

36,962.13 

40,419.09 

(4.2) 

Tilling operations generate fugitive emissions of PM10 and PM2.5. The magnitude of 

the emissions depend upon the timing of the tiling, moisture content of the soil, number 

of acres tilled, silt content of the soil, the number of tillings per acre-pass and use of 

conservation tilling. Acreage data for corn, soybeans and wheat were obtained from the 

Illinois Department of Agriculture8 

The number of tillings by crop was used from Reference 9. Approximately 50 percent of 

the acres of corn planted were tilled by adopting conservation tillage. One-sixth of the 

corn crop used reduced tillage and the remaining third used intensive tillage. These 

same percentages were assumed for other crops. Emissions for the nonattainment 

townships were apportioned by area. 

42 
Emissions were calculated using the following equation9

. 

E = ACRES * C * K * S0

·

6 * P 

Where E = emissions (tons/year) 

ACRES = number of acres planted 

C =constant (4.8 lbs/acre-pass) 

K = particle size multiplier (PM1 0 = 0.21, PM2.5 = 0.042) 

S = percent silt content of surface soil (52%) 

P = number of passes in a year 

Table 4-5: Agricultural Tilling Emissions (tons/year) 

Count\/ PM10 PM2.5 

Cook 274.00 54.80 

DuPage 197.60 39.50 

Grundy Twps 448.42 89.69 

Kane 2,785.60 557.10 

Kendall Twps 314.40 62.88 

Lake 507.60 101.0 

McHenry 5,844.90 1,169.00 

Will 4,154.50 830.90 

Chicago NAA 14,527.02 2,905.37 

Madison 3,792.10 758.40 

Monroe 2,599.00 519.80 

Randolph Twps 229.43 45.89 

St. Clair 2,735.10 547.00 

Metro-East NAA 9,355.63 1,871.09 

Attainment Area 358,820.45 71,763.95 

State Total 382,703.10 76,540.40 

4.3.2 Aircraft Refueling 

(4.3) 

Emissions from aircraft refueling occur when vapor-laden air in a partially empty fuel 

tank is displaced to the atmosphere as the tank is refilled. The quantity of the vapor 

displaced depends on the fuel temperature, fuel vapor pressure, aircraft fuel tank 

temperature and fuel dispensing rate. The three most common types of aircraft fuels 

used in the United States are jet kerosene (commercial turbojet and turboprop engines), 

aviation gasoline (reciprocating engines) and jet naphtha (military). 

Due to the relatively small amount of emissions generated by this category, Illinois EPA 

applied a growth factor to the emissions calculated in the 1999 periodic inventory. The 

growth factor was obtained from the USEPA's EGAS model. These growth factors were 

1.163 for the Chicago area, 1.1223 for the Metro-East area and 1.1365 for the other 

areas of the state. There are no airports in the nonattainment townships. 

43 
E = E1999 * GF 

Where E = emissions (tons/year) 

E1999 = 1999 emissions (tons/year) 

GF = growth factor 

Table 4-6: Aircraft Refueling Emissions (tons/year) 

4.3.3 Animal Husbandry 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

VOM 

254.79 

4.81 

0.00 

0.00 

0.00 

0.00 

0.00 

4.81 

264.41 

0.00 

0.00 

0.00 

38.46 

38.46 

9.62 

312.49 

(4.4) 

Animal husbandry is the practice of breeding and raising livestock. Ammonia is 

produced as a by-product of the microbial decomposition of the organic nitrogen 

compounds in manure (feces and urine for this inventory). References 6 and 10 were 

used in calculating emissions. Animal populations can be found in Table G-9. 

This inventory does not include wild animals found in Illinois such as deer, birds and 

squirrels nor does it include cats and dogs. The primary focus is on the common types 

of animals that are raised on farms. These include: 

• Cattle (beef and dairy) 

• Chickens 

• Goats 

• Hogs 

• Horses 

• Sheep 

• Turkeys 

44 
The emission calculation process is similar for each of the different types of animals. A 

more detailed description can be found in Reference 10. The first step is to estimate 

the animal population. These values were obtained through the USDA's Census of 

Agriculture7 and website. In many cases, data was not available for each county. 

Rather, animal counts were given for a region (a group of counties) and some counties. 

Specific animal counts for a county were first used. These values were then summed 

by district and subtracted from the district total to obtain the remaining number of 

animals. This number was then divided by the number of counties in the district that did 

not have a specific animal population reported to allocate to those counties. 

The next step is to identify distribution of each animal population using a particular 

manure management train (MMT). MMTs can be items such as animal confinement 

areas (e.g., housing, drylot, pasture), components used to store, process or stabilize the 

manure (e.g., anaerobic lagoons, solid separators, deep pits) and land application sites. 

Goats, horses and sheep do not have an MMT. 

Once the distribution of MMTs has been made, an estimate of the amount of nitrogen 

excreted from each animal. These values are typically based on the type of animal, its 

weight and a nitrogen excretion rate. Values used for the inventory can be found in 

Table 3-7 of Reference 10. 

Each MMT then has a specific process flow which identifies the point of generation, any 

splits of the flow and processes that have nitrogen losses (emissions of ammonia). 

These flows, plus their subsequent nitrogen losses, are then used to calculate the 

emissions of ammonia for a given MMT and animal. 

4.3.3.1 Cattle 

4.3.3.1.1 Beef 

The split of MMT methods is feedlot (based upon individual county) and outdoor 

confinement areas (remainder of cattle). 

45 
Table 4-7: Beef Cattle Emissions (tons/year) 

County NH3 

Cook 0.00 

DuPage 0.00 

Grundy Twps 0.31 

Kane 93.17 

Kendall Twps O.o7 

Lake 0.00 

McHenry 161.96 

Will 27.20 

Chicago NAA 282.71 

Madison 72.63 

Monroe 51.11 

Randolph Twps 3.02 

St. Clair 41.61 

Metro-East NAA 168.37 

Attainment Area 8,327.21 

State Total 8,778.29 

4.3.3.1.2 Dairy 

The split of MMT methods is flush barn (1.0 percent), scrape barn (50.9 percent), deep 

pit (2.9 percent) and dry lot (45.2 percent). 

Table 4-8: Dairy Cattle Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

46 

NH3 

0.00 

0.00 

0.56 

17.37 

0.14 

17.37 

195.35 

17.37 

248.16 

24.46 

20.86 

0.61 

20.86 

66.80 

3,707.43 

4,022.39 
4.3.3.2 Chickens 

The split of MMT methods is dry layers (98.0 percent) and wet layers (2.0 percent). 

4.3.3.3 Goats 

Table 4-9: Chicken Emissions (tons/year) 

Countv 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

NH3 

0.00 

2.45 

0.26 

60.53 

0.02 

11.18 

82.21 

15.44 

172.08 

28.22 

22.50 

1.39 

33.25 

85.36 

1,650.17 

1,907.61 

For this category, county-based animal count data was not available. The statewide 

value was available. This value was apportioned to the county level by using the same 

distribution of sheep. 

Table 4-10: Goat Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

47 

NH3 

0.00 

0.00 

0.01 

0.44 

0.00 

0.44 

0.44 

0.44 

1.79 

0.68 

0.29 

0.01 

0.29 

1.27 

72.96 

76.03 
4.3.3.4 Hogs 

The split of MMT methods is lagoon system (29.0 percent), deep pit system (70.0 

percent) and outdoor confinement area (1.0 percent). 

4.3.3.5 Horses 

Table 4-11: Hog Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

NH3 

0.89 

0.89 

1.48 

194.10 

1.49 

2.70 

143.32 

116.98 

461.86 

194.75 

264.15 

2.29 

197.94 

659.13 

25,551.15 

26,672.14 

For this category, county-based animal count data was not available. The statewide 

value was available. This value was apportioned to the county level by using the same 

ratio as the 1997 data which had data at the county level. 

Table 4-12: Horse Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

48 

NH3 

34.44 

7.98 

0.15 

47.04 

0.11 

49.68 

68.63 

35.95 

243.98 

30.34 

9.69 

0.35 

18.93 

59.31 

1,214.23 

1,517.52 
4.3.3.6 Sheep 

The data for this category was available at the county level and has no MMT. 

4.3.3.7 Turkeys 

Table 4-13: Sheep Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

NH3 

0.00 

0.00 

0.04 

1.21 

0.01 

1.21 

1.21 

1.21 

4.88 

1.86 

0.78 

0.02 

0.78 

3.44 

198.53 

206.85 

For this category, county-based animal count data was not available. The statewide 

value was available. This value was apportioned to the county level by using the same 

ratio as the 1997 data. In many cases, data was not presented to keep the 

confidentiality of the source. For the most part, this did not cause a problem with the 

allocation. However, initial allocation of turkeys to the remaining counties identified a 

large number of turkeys in counties that previously did not have turkeys. A further 

review was conducted and it was discovered that data previous to 1997 identified one 

county, Wayne, with a large number of turkeys. The remaining turkeys not already 

apportioned to a county were deemed to be in Wayne County. 

49 
Table 4-14: Turkey Emissions (tons/year) 

County NH3 

Cook 0.00 

DuPage 0.00 

Grundy Twps 0.00 

Kane 0.00 

Kendall Twps 0.00 

Lake 0.00 

McHenry O.D? 

Will 0.02 

Chicago NAA 0.08 

Madison 0.04 

Monroe 0.00 

Randolph Twps 0.00 

St. Clair 0.03 

Metro-East NAA 0.07 

Attainment Area 999.76 

State Total 999.91 

4.3.4 Architectural Coating 

Architectural surface coatings are use primarily by homeowners and painting 

contractors to coat the interior and exterior of houses and buildings. Emissions result 

when the solvent that carries the coating material evaporates and leaves the coating 

material on the applied surface. 

A per capita emission factor of 3.2266 pounds of VOM per person per year was 

developed based on the 2002 national architectural coatings (water and solvent based) 

usage, population and the applicable VOM content of the coatings. The national 

architectural coatin~s data were obtained from the 2002 National Paint and Coating 

Association Report 1

. National and Illinois county population estimates for 2002 were 

obtained from the U.S. Bureau of Census. 

The calculated emission factor was reduced by 20 percent due to the promulgation of 

the national regulations on consumer products (62FR48848 National Volatile Organic 

Compound Emissions Standards for Architectural Coating, Final rule, September 11, 

1998). VOM emissions in tons per year were estimated by multiplying county 

population by the per capita emission factor. Emissions for the nonattainment 

townships were calculated using the percentage of the population for the applicable 

townships. 

E =POP* EF * (1-CE) /2000 

Where E = emissions (tons/year) 

POP = population 

EF = emission factor (lb VOM/person/year) 

CE = control efficiency (0.20) 

50 

(4.5) 
Table 4-15: Architectural Coating Emissions (tons/year) 

County VOM 

Cook 6,940.43 

DuPage 1,193.31 

Grundy Twps 8.52 

Kane 571.81 

Kendall Twps 41.09 

Lake 870.99 

McHenry 358.42 

Will 722.58 

Chicago NAA 10,707.15 

Madison 337.38 

Monroe 37.50 

Randolph Twps 0.61 

St. Clair 332.86 

Metro-East NAA 708.35 

Attainment Area 4,847.29 

State Total 16,262.79 

4.3.5 Asphalt Paving 

Emissions from asphalt paving occur as a result of the evaporation of the petroleum 

distillate solvent or diluent used to liquefy the asphalt cement. 

According to lOOT's Bureau of Materials and Physical Research 12·

13, bituminous 

materials let in for 2002 were 4,855,683 gallons and the total Illinois paved roadway 

miles were 139,691. According to AP-422, only 70 percent of the solvent evaporates 

and solvent emissions are representative of kerosene at 6.8 pounds per gallon. 

An emission factor of 165.46 pounds of VOM per lane mile was developed based on the 

total 2002 bituminous material usage, solvent content of the material and paved 

roadway miles along with the assumed evaporation rate. Emissions for the 

nonattainment townships were calculated using the percentage of the miles of road for 

the applicable townships. 

E = Miles * EF /2000 

Where E = emissions (tons/year) 

Miles= lane miles (miles) 

EF = emission factor (lb VOM/Iane mile/year) 

51 

(4.6) 
Table 4-16: Asphalt Paving Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

4.3.6 Automobile Refinishing 

VOM 

941.88 

255.31 

8.42 

176.27 

14.87 

222.50 

156.87 

240.16 

2,016.27 

215.46 

59.49 

7.58 

190.41 

472.94 

9,067.40 

11,556.61 

Automobile refinishing is the cleaning and repainting of automobiles and light trucks and 

other vehicles, but does not include vehicle surface coating during original equipment 

manufacture. Automobile refinishing is a source of emissions due to the evaporation of 

solvents contained in the coatings and cleaning agents used. Emissions of VOM are 

released during three primary activities: surface preparation, coating application and 

equipment cleaning. 

A per capita emission factor of 1.90 pounds of VOM per person per year14 was used to 

calculate emissions. Population estimates were obtained from the U. S. Bureau of 

Census and then multiplied by the emission factor and applicable percent reduction 

factors to obtain the yearly county-wide emission estimates. 

A state rule limits the VOM content of automobile refinishing coatings and surface 

preparation products as well as requiring the use of high efficiency coating application 

equipment in the non-attainment area. The combination of these controls, which took 

effect in March 1996, resulted in a 72 percent reduction in VOM emissions in nonattainment area counties (excluding Randolph County). 

In the attainment areas of the state, automobile refinishing coatings were one of four 

categories affected by the USEPA promulgation of national regulations on consumer 

products. USEPA state the automobile refinishing coating standards would achieve a 

33 percent reduction in emissions. Emissions for the non attainment townships were 

calculated using the percentage of the population for the applicable township. 

52 
E =POP* EF * (1-CE) /2000 

Where E = Emissions (tons/year) 

POP = Population 

EF = Emission factor (lb VOM/person/year) 

CE = control efficiency 

0.72 for non-attainment area (excluding Randolph County) 

0.33 for attainment area (including Randolph County) 

Table 4-17: Automobile Refinishing Emissions (tons/year) 

County VOM 

Cook 1,430.42 

DuPage 245.94 

Grundy Twps 3.79 

Kane 117.85 

Kendall Twps 14.13 

Lake 179.51 

McHenry 73.87 

Will 148.92 

Chicago NAA 2,214.42 

Madison 69.53 

Monroe 7.73 

Randolph Twps 0.30 

St. Clair 68.60 

Metro-East NAA 146.16 

Attainment Area 2,382.89 

State Total 4,743,47 

4.3.7 Commercial Cooking 

(4.7) 

The commercial cooking category includes the cooking of food at restaurants which 

have processes such as chain-driven (conveyorized) charbroilers, under-fired 

charbroilers, deep fat fryers griddles and clamshell griddles. These processes typically 

occur at steak and barbeque, ethnic food, fast food, family and seafood restaurants. 

Emissions inventoried include CO and VOM and do not include combustion emissions. 

Combustion emissions are included in the commercial/institutional fuel combustion 

category. 

Illinois EPA used Reference 15 to calculate emissions from commercial cooking. The 

number of restaurants by each type in each county was used to calculate emissions. 

The type of cooking for each restaurant type was calculated using the values in Table 4-

18. 

53 
Table 4-18: Percent of Restaurants with Each Type of Cooking Equipment 

Restaurant Chain-Driven Underfired Deep-Fat Flat Clamshell 

Type Charbroiler Charbroiler Fryers Griddles Griddles 

Ethnic 3.5 47.5 81.9 62.7 4.0 

Family 10.1 60.9 91.4 82.9 1.4 

Fast Food 18.6 30.8 96.8 51.9 14.7 

Seafood 0.0 52.6 100.0 36.8 10.5 

Steak & BBQ 6.9 55.2 82.8 89.7 0.0 

Once the number of types of cooking equipment was determined for each restaurant 

type, these values were multiplied by the average number of equipment pieces in Table 

4-19. 

Table 4-19: Average Number of Equipment Pieces by Restaurant Type 

Restaurant Chain-Driven Underfired Deep-Fat Flat Clamshell 

Type Charbroiler Charbroiler Fryers Griddles Griddles 

Ethnic 1.62 1.54 1.63 1.88 1.8 

Family 1.71 1.29 2.34 2.03 

Fast Food 1.07 1.58 3.1 1.43 2.09 

Seafood 1. 1 2.47 1.11 1.5 

Steak & BBQ 1.63 2.42 1.35 

The number of equipment pieces was then summed to the county level for each 

equipment type. These values were then multiplied by the average pounds of meat 

cooked in Table 4-20. 

Table 4-20: Average Pounds of Meat Cooked on Each Type of Equipment Per Week 

Type of Meat Chain-Driven Underfired Deep-Fat Flat Clamshell 

Charbroiler Charbroiler Fryers Griddles Griddles 

Steak 236 180 181 166 94 

Hamburger 798 270 274 362 1314 

Poultry, w/ skin 147 144 365 88 113 

Poultry, w/o skin 266 179 208 111 108 

Pork 57.6 148 58.6 112 118 

Seafood 119 143 159 92.1 632 

Other 41.5 274 57.5 

The amount of meat cooked was then multiplied by 52 to obtain the annual amount of 

meat cooked. This value was then multiplied by the emission factors in Table 4-21 to 

obtain emissions. Emissions for the nonattainment townships were calculated using the 

percentage of the population for the applicable township. 

54 
Table 4-21: Commercial Cooking Emission Factors (g/kg meat) 

Equipment Type Meat/Food co PM10 PM2.5 VOM 

Chain-driven Charbroiler Hamburger 8.29 7.4 7.3 2.27 

Underfired Charbroiler Hamburger 13.72 32.7 31.9 3.94 

Steak 4.97 17.2 16.8 0.86 

Chicken 4.84 10.5 9.9 1.82 

Seafood n/a 3.3 3.2 0.38 

Deep-fat Fryer Potatoes n/a n/a n/a 0.21 

Chicken n/a n/a n/a 0.12 

Fish n/a n/a n/a 0.14 

Flat Griddle Hamburger 0.38 5.0 3.8 0.07 

Chicken 0.45 n/a n/a 0.4 

Seafood n/a n/a n/a 0.11 

Clamshell Griddle Hamburger n/a 0.85 0.72 0.01 

Table 4-22: Commercial Cooking Emissions (tons/year) 

County co PM10 PM2.5 VOM 

Cook 562.69 1,459.13 1,353.65 209.53 

DuPage 117.73 304.18 282.15 43.93 

Grundy Twps 0.79 2.00 1.85 0.30 

Kane 31.19 81.20 75.23 11.55 

Kendall Twps 2.85 7.31 6.77 1.06 

Lake 75.59 197.04 182.63 27.96 

McHenry 26.14 67.72 62.77 9.72 

Will 34.41 87.68 81.34 12.94 

Chicago NAA 851.39 2,206.26 2,046.39 316.99 

Madison 26.82 68.99 64.03 10.06 

Monroe 2.21 5.74 5.32 0.82 

Randolph Twps 0.04 0.10 0.09 0.01 

St. Clair 22.96 59.74 55.43 8.58 

Metro-East NAA 52.03 134.57 124.87 19.47 

Attainment Area 372.99 962.91 892.86 139.10 

State Total 1,276.41 3,303.74 3,064.13 475.56 

4.3.8 Construction 

The construction emissions inventoried here are the emissions due to the disturbing of 

soil. Emissions due to the equipment used to perform the construction are included in 

Section 5.2.2.4. 

4. 3. B. 1 Nonresidential 

Nonresidential construction activities are activities other than residential construction 

such as office, commercial, health care facility, education, public safety, amusement & 

recreation, transportation, power, highway & street, sewage and waste disposal, water 

supply, conservation & development and other (unclassifiable) construction activity. 

55 
Emissions were calculated based on Reference 9. The value of construction put in 

place was obtained from the Bureau of the Census. For Illinois, this value was 

$5,913,740,000. This value was apportioned to each county based upon the 

employment16 for NAICS category 2362xx. These values were then multiplied by 1.6 

acres/million dollars to obtain the number of acres disturbed for construction. Emissions 

were then calculated using Equation 4.8. Township level emissions were apportioned 

by area. 

E = ACRES * EF * (24 I PE) * (S I 9) * CF 

Where E = emissions (tons/year) 

ACRES = acres disturbed 

EF = emission factor (ton/acre/year)9 

PM10 = 2.09 

PM2.5 = 0.42 

PE = precipitation-evaporation value (99.2) 

S =silt content (52%) 

CF = control factor 

Cook, Madison and LaSalle Counties = 0.5 

All other counties = 1 

Table 4-23: Nonresidential Construction Emissions (tons/year) 

County PM10 PM2.5 

Cook 4,819.27 963.85 

DuPage 2,364.19 472.84 

Grundy Twps 41.60 8.32 

Kane 877.40 175.48 

Kendall Twps 14.54 2.91 

Lake 1,049.85 209.97 

McHenry 167.79 33.56 

Will 1,385.42 277.08 

Chicago NAA 10,720.06 2,144.01 

Madison 414.23 82.85 

Monroe 134.00 26.80 

Randolph Twps 0.54 0.11 

St. Clair 305.28 61.06 

Metro-East NAA 854.05 170.82 

Attainment Area 10,713.27 2,142.62 

State Total 22,287.37 4,457.44 

56 

(4.8) 
4.3.8.2 Residential 

Residential construction is the building of houses, condos and apartments. Residential 

construction activity (number of structures of each type being built) was obtained from 

the Bureau of the Census. The number of units was multiplied by the appropriate 

values in Table 4-24 to obtain the number of acres disturbed for construction. 

Table 4-24: Area Disturbed by Type of Structure 

Type of Structure 

1-Unit 

2-Unit 

3-Unit and above 

Apartments 

Acres Disturbed 

per Structure 

0.25 

0.33 

0.50 

0.50 

Once the number of disturbed acreage had been obtained, Equation 4.9 was used to 

determine emissions. 

E = ACRES * EF * (24 I PE) * (S I 9) * CF 

Where E = emissions (tons/year) 

ACRES = acres disturbed 

EF =emission factor from Table 4-25 

PE = precipitation-evaporation value (99.2) 

S =silt content (52%) 

CF = control factor 

Cook, Madison and LaSalle Counties= 0.5 

All other counties = 1 

Table 4-25: Residential Construction Emission Factors (tons/acre/year)9 

Type of Structure PM10 PM2.5 

Apartments 1.32 0.26 

2-Unit 0.19 0.04 

1-Unit w/o basement 0.19 0.04 

1-Unit w/ basement 0.07 0.01 

57 

(4.9) 
Table 4-26: Residential Construction Emissions (tons/year) 

County PM10 PM2.5 

Cook 534.29 106.86 

DuPage 249.09 49.82 

Grundy Twps 5.98 1.20 

Kane 545.43 109.09 

Kendall Twps 42.20 8.44 

Lake 338.71 67.74 

McHenry 318.27 63.65 

Will 644.51 128.90 

Chicago NAA 2,678.49 535.70 

Madison 65.85 13.17 

Monroe 25.59 5.12 

Randolph Twps 0.19 0.04 

St. Clair 111.60 22.32 

Metro-East NAA 203.23 40.65 

Attainment Area 1,123.09 224.56 

State Total 4,004.81 800.90 

4.3.8.3 Roadway 

Road construction emissions are a function of the acreage disturbed and the amount 

spent. Emissions were calculated using the methodology from Reference 9. Road 

construction activity data was obtained from the Bureau of the Census. Road 

construction spending data for 1999 for urban and rural interstate, arterial and collectors 

were obtained from IDOT13. Road construction spending by road type for 2002 was 

calculated using the same ratios as 1999 spending. The total state spending was then 

apportioned to each county based on the number of new housing starts. 

The number of miles of construction was obtained by dividing the spending by the 

appropriate values from Table 4-27. 

Table 4-27: Conversion from Spending to Miles of Road Constructed9 

Roadway Type 

Interstates 

All others 

Million $1mile 

4.0 

1.9 

The amount of acres disturbed was then calculated by multiplying the miles of roadway 

by the appropriate values from Table 4-28. 

58 
Table 4-28: Area Disturbed by Roadway Type (acres/mile)9 

Roadway Type 

Interstates 

Urban Arterial 

Rural Arterial 

Urban Collectors 

Rural Collectors 

Area Disturbed 

15.2 

15.2 

12.7 

9.8 

7.9 

Emissions were then calculated using Equation 4.10. Township level emissions were 

apportioned by the percentage of roadways in each township. 

E = ACRES * EF * (24 I PE) * (S I 9) * CF 

Where E = emissions (tons/year) 

ACRES = acres disturbed 

EF = emission factor (ton/acre/year)9 

PM10 = 5.04 

PM2.5 = 1.01 

PE = precipitation-evaporation value (99.2) 

S =silt content (52%) 

CF = control factor 

Cook, Madison and LaSalle Counties = 0.5 

All other counties = 1 

Table 4-29: Roadway Construction Emissions (tons/year) 

County PM10 PM2.5 

Cook 12,708.46 2,541.69 

DuPage 5,668.38 1,133.68 

Grundy Twps 69.97 14.00 

Kane 9,302.07 1,860.41 

Kendall Twps 389.19 77.84 

Lake 6,585.48 1,317.10 

McHenry 6,759.12 1,351.82 

Will 13,322.50 2,664.50 

Chicago NAA 54,805.17 10,961.04 

Madison 1,243.06 248.61 

Monroe 533.53 106.71 

Randolph Twps 11.14 2.23 

St. Clair 2,691.33 538.27 

Metro-East NAA 4,479.06 895.82 

Attainment Area 22,920.67 4,584.11 

State Total 82,204.90 16,440.97 

59 

(4.1 0) 
4.3.9 Consumer Solvent Use 

Consumer solvent use is a solvent evaporation emission source of VOM. This category 

has been broken down in seven types of products: personal products, household 

products, auto aftermarket products, adhesive products, pesticide products, 

miscellaneous products and coating & related products. 

Emissions from consumer products are estimated using product-specific per capita 

emission factors. These factors, obtained from EIIP17 are identified in Table 4-30. In 

1998, the US EPA adopted a regulation limiting the VOM content of numerous 

categories of consumer products. The estimate of the reductions made by the 

implementation of the regulation is also identified in the table. Emissions for the 

nonattainment townships were calculated using the percentage of the population for the 

applicable township. 

Table 4-30: Consumer Solvent Use Emission Factors (lb/person/year) 

EIIP Percent Final 

Product Category Emission Reduction Emission 

Factor from 1998 Factor 

Rules 

Personal Care 2.32 12.11 2.04 

Household 0.79 10.94 0.70 

Automotive Aftermarket 1.36 8.97 1.24 

Adhesives and Sealants 0.57 8.30 0.52 

FIFRA Regulated 1.78 5.08 1.69 

Coatings & Related Products 0.95 0.00 0.95 

Miscellaneous 0.07 0.00 0.07 

Table 4-31: Consumer Solvent Use Emissions (tons/year) 

County VOM 

Cook 19,393.70 

DuPage 3,334.48 

Grundy Twps 23.81 

Kane 1,597.81 

Kendall Twps 114.82 

Lake 2,433.81 

McHenry 1,001.54 

Will 2,019.11 

Chicago NAA 29,919.08 

Madison 942.76 

Monroe 104.80 

Randolph Twps 1.70 

St. Clair 930.11 

Metro-East NAA 1,979.37 

Attainment Area 13,545.03 

State Total 45,443.48 

60 
4.3.10 Dry Cleaning 

Emissions from dry cleaning were calculated using an emission factor of 1800 lb 

VOM/employee from EIIP18. Since perchloroethylene has been determined by USEPA 

to be negligibly reactive and therefore excluded as a volatile organic material, area 

source dry cleaning emissions are limited to those from petroleum operations. 

The number of employees in dry cleanin~ operations for each county were obtained 

from the 2002 Bureau of Labor Statistics 6 using NAICS 81232x. The number of 

employees obtained in this manner includes sources using perchloroethylene as the dry 

cleaning solvent. To calculate only VOM emissions, the percentage of petroleum-based 

dry cleaning to the whole category was obtained from the point source inventory. 

According to the point source inventory, one-third of dry cleaning establishments use 

petroleum based solvents. This factor was applied to the employment to obtain 

emissions. Point source emissions with the SCC of 41 Oxxxxx were then subtracted to 

obtain net area source emissions. Emissions for the non attainment townships were 

calculated using the percentage of the population for the applicable township. 

E = EMP * (1/3) * EF I 2000- PS 

Where E = emissions (tons/year) 

EMP =number of employees for NAICS 81232x 

EF =emission factor (1800 lb VOM/employee) 

PS = point source emissions (tons/year) 

Table 4-32: Dry Cleaning Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

61 

VOM 

838.18 

156.28 

0.70 

91.73 

4.05 

110.39 

64.14 

123.94 

1,389.41 

33.09 

5.00 

0.02 

42.50 

80.61 

421.96 

1,891.98 

(4.11) 
4.3.11 Forest Fires 

Forest fires are fires that occur in wooded areas that are intentionally/unintentionally 

caused by humans plus those caused by nature. The total number of acres burned 

statewide were obtained from Reference 9. Since no county-level data was available, 

the number of acres burned was apportioned to the county level by the count to state 

ratio of forested acres. A total of 507.8 acres was burned in the state. Emissions for 

the nonattainment townships were apportioned by area. 

Emissions are calculated using the following formula. 

E = ACRES * EF * LF I 2000 

Where E = emissions (tons/year) 

ACRES = number of acres burned 

EF =emission factor from Table 4-33 (lb/ton burned) 

LF =loading factor (11 tons burned/acre)9 

Table 4-33: Forest Fire Emission Factors (lb/ton of material burned)9 

Pollutant Emission 

Factor 

co 289 

NH3 1.3 

NOx 6.2 

PM10 28.1 

PM2.5 24.1 

S02 1.7 

VOM 13.6 

62 

(4.12) 
Table 4-34: Forest Fire Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 6.54 0.03 0.14 0.64 0.55 0.04 0.31 

DuPage 3.03 0.01 0.07 0.30 0.25 0.02 0.14 

Grundy Twps 0.03 0.00 0.00 0.00 0.00 0.00 0.00 

Kane 2.13 0.01 0.05 0.21 0.18 0.01 0.10 

Kendall Twps 0.07 0.00 0.00 0.01 0.01 0.00 0.00 

Lake 0.00 0.00 0.00 0.00 0.00 0.00 0.00 

McHenry 2.47 0.01 0.05 0.24 0.21 0.02 0.12 

Will 2.80 0.01 0.06 0.27 0.23 0.02 0.13 

Chicago NAA 17.07 0.08 0.37 1.66 1.42 0.10 0.80 

Madison 4.33 0.02 0.09 0.42 0.36 0.03 0.20 

Monroe 2.71 0.01 0.06 0.26 0.23 0.02 0.13 

Randolph Twps 0.37 0.00 0.01 0.04 0.03 0.00 0.02 

St. Clair 3.55 0.02 0.08 0.35 0.30 0.02 0.17 

Metro-East NAA 10.96 0.05 0.24 1.07 0.91 0.06 0.52 

Attainment Area 237.20 1.07 5.09 23.07 19.78 1.40 11.16 

State Total 265.23 1.20 5.69 25.79 22.12 1.56 12.48 

4.3.12 Fuel Combustion- Commercial/Institutional 

Commercial/industrial fuel combustion emissions, which result form the combustion of 

natural gas, distillate oil, residual oil, coal, kerosene and LPG, are a source of emissions 

from both point and area sources. Gross area source emissions are estimated using 

the total estimated statewide fuel usage for each fuel type. In order to avoid double 

counting of emissions, county fuel-specific point source emissions are subtracted from 

the gross area source estimate to determine the county net area source emission 

estimate. As development of the point source inventory has changed over time, 

comparison of category emissions for different years could yield significant differences. 

In addition, changes in the Energy Information Administration (EIA) reporting formats 

also result in variations in the estimated emissions. 

Emissions were calculated for the combustion of natural gas, distillate oil, residual oil, 

kerosene and LPG. It is assumed that industrial coal combustion emissions are 

completely accounted for in the point source inventory since all boilers that have a heat 

input rate greater than 10 million BTU/hr are required to have a permit. It is very 

unlikely a coal fired boiler at an industrial source would be less than this threshold. 

Emissions were calculated using emission factors from Reference 14. These factors 

are presented in Table 4-35. 

63 
Table 4-35: Commercial/Institutional Fuel Combustion Emission Factors 14 

Fuel Pollutant Emission Units 

Factor 

Natural Gas co 84 Lb/million cubic feet 

NH3 0.49 Lb/million cubic feet 

NOx 100 Lb/million cubic feet 

PM10 7.6 Lb/million cubic feet 

PM2.5 7.6 Lb/million cubic feet 

S02 0.6 Lb/million cubic feet 

VOM 5.5 Lb/million cubic feet 

Distillate Oil co 5 Lb/1 000 gallons 

NH3 0.8 Lb/1 000 gallons 

NOx 24 Lb/1 000 gallons 

PM10 2.38 Lb/1 000 gallons 

PM2.5 2.13 Lb/1 000 gallons 

S02 39.76 Lb/1 000 gallons 

VOM 0.34 Lb/1 000 gallons 

Residual Oil co 5 Lb/1 000 gallons 

NH3 0.8 Lb/1 000 gallons 

NOx 47 Lb/1 000 gallons 

PM10 1.88 Lb/1 000 gallons 

PM2.5 1.64 Lb/1 000 gallons 

S02 153.86 Lb/1 000 gallons 

VOM 1.13 Lb/1 000 gallons 

Kerosene co 5 Lb/1 000 gallons 

NH3 0.8 Lb/1 000 gallons 

NOx 55 Lb/1 000 gallons 

PM10 7.17 Lb/1 000 gallons 

PM2.5 4.67 Lb/1 000 gallons 

S02 153.86 Lb/1 000 gallons 

VOM 1.13 Lb/1 000 gallons 

LPG co 1.9 Lb/1 000 gallons 

NOx 14 Lb/1 000 gallons 

PM10 0.91 Lb/1 000 gallons 

PM2.5 0.91 Lb/1 000 gallons 

VOM 0.3 Lb/1 000 gallons 

Statewide emissions were apportioned to counties based on the 2002 county-to-state 

ratio of employment in NAICS 401-99916. Employment for the nonattainment townships 

was calculated using the percentage of the population for the applicable townships. 

Once this had been completed, the point source emissions were subtracted from the 

statewide number for each fuel, resulting in the net area source component of industrial 

fuel combustion emissions. In situations where the point source emissions exceeded 

the gross area source estimate, the net area source emissions were reported as zero. 

64 
Table 4-36: Commercial/Institutional Natural Gas Combustion Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 4,039.08 22.14 4,652.75 365.36 356.68 28.67 258.92 

DuPage 876.01 5.04 1,035.68 79.95 79.83 6.28 56.44 

Grundy Twps 2.84 0.02 3.21 0.25 0.25 0.02 0.18 

Kane 225.22 0.00 240.46 20.27 20.27 1.66 14.72 

Kendall Twps 8.53 0.05 9.71 0.74 0.74 0.06 0.54 

Lake 447.35 2.68 539.54 40.15 38.65 3.04 26.89 

McHenry 121.18 0.68 140.04 10.65 10.65 0.84 7.70 

Will 181.39 1.03 201.73 16.15 15.31 1.28 11.43 

Chicago NAA 5,901.60 31.64 6,823.13 533.51 522.37 41.85 376.81 

Madison 130.75 0.70 153.72 11.17 11.17 0.81 8.47 

Monroe 11.05 0.06 13.15 1.00 1.00 0.08 0.72 

Randolph Twps 0.02 0.00 0.04 0.01 0.00 0.00 0.00 

St. Clair 125.02 0.62 108.76 7.92 6.93 0.65 7.11 

Metro-East NAA 266.84 1.38 275.67 20.10 19.10 1.54 16.30 

Attainment Area 1,695.16 8.48 1,854.20 147.94 140.76 11.32 106.96 

State Total 7,863.60 41.50 8,953.00 701.55 682.23 54.71 500.08 

Table 4-37: Commercial/Institutional Distillate Oil Combustion Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 87.76 13.91 423.91 41.85 37.89 700.67 5.94 

DuPage 18.08 2.89 86.77 8.60 7.70 143.75 1.23 

Grundy Twps 0.07 0.01 0.36 0.04 0.03 0.59 0.01 

Kane 3.67 0.59 18.85 2.15 2.15 29.56 0.25 

Kendall Twps 0.21 0.03 1.01 0.10 0.09 1.67 0.02 

Lake 9.29 1.48 44.65 4.40 3.97 73.98 0.63 

McHenry 2.48 0.40 11.91 1.16 1.06 19.71 0.17 

Will 3.97 0.63 19.06 1.89 1.70 31.53 0.27 

Chicago NAA 125.53 19.94 606.51 60.19 54.59 1,001.46 8.51 

Madison 2.63 0.44 12.91 1.30 1.18 22.07 0.18 

Monroe 0.22 0.04 1.07 0.11 0.10 1.78 0.02 

Randolph Twps 0.00 0.00 0.02 0.00 0.00 0.03 0.00 

St. Clair 2.93 0.47 14.00 1.40 1.25 23.23 0.20 

Metro-East NAA 5.78 0.95 28.00 2.81 2.53 47.11 0.40 

Attainment Area 40.33 5.94 195.84 19.87 18.04 330.90 2.73 

State Total 171.64 26.83 830.35 82.87 75.16 1,379.47 11.64 

65 
Table 4-38: Commercial/Institutional Residual Oil Combustion Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 0.00 0.00 0.00 0.26 0.23 0.00 0.00 

DuPage 0.14 0.02 1.39 0.05 0.04 4.55 0.03 

Grundy Twps 0.00 0.00 0.01 0.00 0.00 0.02 0.00 

Kane 0.04 0.01 0.40 0.01 0.01 1.31 0.01 

Kendall Twps 0.00 0.00 0.02 0.00 0.00 0.05 0.00 

Lake 0.07 0.01 0.71 0.02 0.02 2.34 0.01 

McHenry 0.02 0.00 0.19 0.01 0.01 0.62 0.01 

Will 0.03 0.01 0.30 0.01 0.01 1.00 0.01 

Chicago NAA 0.30 0.05 3.01 0.36 0.32 9.89 0.06 

Madison 0.02 0.00 0.21 0.01 0.01 0.70 0.01 

Monroe 0.00 0.00 0.01 0.00 0.00 0.05 0.00 

Randolph Twps 0.00 0.00 0.00 0.00 0.00 0.00 0.00 

St. Clair 0.02 0.00 0.22 0.01 0.01 0.73 0.01 

Metro-East NAA 0.04 0.01 0.44 0.02 0.02 1.48 0.01 

Attainment Area 0.30 0.04 2.88 0.12 0.10 10.21 0.07 

State Total 0.64 0.10 6.34 0.50 0.44 21.59 0.14 

Table 4-39: Commercial/Institutional Kerosene Combustion Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 1.95 0.31 21.53 2.80 1.82 60.25 0.44 

DuPage 0.39 0.06 4.37 0.57 0.37 12.24 0.09 

Grundy Twps 0.00 0.00 0.02 0.00 0.00 0.05 0.00 

Kane 0.11 0.01 1.26 0.16 0.10 3.53 0.02 

Kendall Twps 0.01 0.00 0.05 0.01 0.00 0.14 0.00 

Lake 0.20 0.03 2.25 0.29 0.19 6.30 0.04 

McHenry 0.05 0.01 0.60 0.07 0.05 1.68 0.01 

Will 0.08 0.01 0.96 0.12 0.08 2.70 0.02 

Chicago NAA 2.79 0.43 31.03 4.02 2.62 86.89 0.62 

Madison 0.06 0.01 0.67 0.08 0.05 1.88 0.01 

Monroe 0.01 0.00 0.05 0.01 0.01 0.15 0.00 

Randolph Twps 0.00 0.00 0.00 0.00 0.00 0.00 0.00 

St. Clair 0.06 0.01 0.71 0.09 0.06 1.98 0.01 

Metro-East NAA 0.13 0.02 1.43 0.18 0.12 4.01 0.02 

Attainment Area 0.88 0.13 10.07 1.25 0.80 28.65 0.19 

State Total 3.79 0.58 42.53 5.44 3.53 119.55 0.83 

66 
Table 4-40: Commercial/Institutional LPG Combustion Emissions (tons/year) 

County co NOx PM10 PM2.5 VOM 

Cook 19.49 143.63 9.30 9.30 3.08 

DuPage 3.96 29.19 1.89 1.89 0.63 

Grundy Twps 0.02 0.12 0.01 0.01 0.00 

Kane 1.15 8.44 0.55 0.55 0.18 

Kendall Twps 0.05 0.34 0.02 0.02 0.01 

Lake 2.04 15.03 0.97 0.97 0.32 

McHenry 0.54 4.01 0.26 0.26 0.09 

Will 0.87 6.45 0.42 0.42 0.14 

Chicago NAA 28.11 207.21 13.42 13.42 4.45 

Madison 0.61 4.49 0.29 0.29 0.10 

Monroe 0.05 0.36 0.02 0.02 0.01 

Randolph Twps 0.00 0.01 0.00 0.00 0.00 

St. Clair 0.64 4.74 0.31 0.31 0.10 

Metro-East NAA 1.30 9.60 0.62 0.62 0.21 

Attainment Area 9.03 67.16 4.48 4.48 1.36 

State Total 38.44 283.96 18.52 18.52 6.02 

4.3.13 Fuel Combustion -Industrial 

Industrial fuel combustion emissions, which result form the combustion of natural gas, 

distillate oil, residual oil and coal, are a source of emissions from both point and area 

sources. Gross area source emissions are estimated using the total estimated 

statewide fuel usage for each fuel type. In order to avoid double counting of emissions, 

county fuel-specific point source emissions are subtracted from the gross area source 

estimate to determine the county net area source emission estimate. As development 

of the point source inventory has changed over time, comparison of category emissions 

for different years could yield significant differences. In addition, changes in the Energy 

Information Administration (EIA) reporting formats also result in variations in the 

estimated emissions. 

Emissions were calculated for the combustion of natural gas, distillate oil and residual 

oil. It is assumed that industrial coal combustion emissions are completely accounted 

for in the point source inventory since all boilers that have a heat input rate greater than 

10 million BTU/hr are required to have a permit. It is very unlikely a coal fired boiler at 

an industrial source would be less than this threshold. It is further assumed that 

industrial combustion does not make use of kerosene and LPG as fuels in external 

combustion sources. 

Emissions were calculated using emission factors from Reference 14. These factors 

are presented in Table 4-41. 

67 
Table 4-41: Industrial Fuel Combustion Emission Factors 14 

Fuel Pollutant Emission Units 

Factor 

Natural Gas co 84 Lb/million cubic feet 

NH3 3.2 Lb/million cubic feet 

NOx 100 Lb/million cubic feet 

PM10 7.6 Lb/million cubic feet 

PM2.5 7.6 Lb/million cubic feet 

S02 0.6 Lb/million cubic feet 

VOM 5.5 Lb/million cubic feet 

Distillate Oil co 5 Lb/1 000 gallons 

NH3 0.8 Lb/1 000 gallons 

NOx 20 Lb/1 000 gallons 

PM10 1.0 Lb/1 000 gallons 

PM2.5 0.25 Lb/1 000 gallons 

S02 39.76 Lb/1 000 gallons 

VOM 0.2 Lb/1 000 gallons 

Residual Oil co 5 Lb/1 000 gallons 

NH3 0.8 Lb/1 000 gallons 

NOx 55 Lb/1 000 gallons 

PM10 7.17 Lb/1 000 gallons 

PM2.5 4.67 Lb/1 000 gallons 

S02 153.86 Lb/1 000 gallons 

VOM 0.28 Lb/1 000 gallons 

Statewide emissions were apportioned to counties based on the 2002 county-to-state 

ratio of employment in NAICS 311-39916. Employment for the nonattainment townships 

was calculated using the percentage of the population for the applicable townships. 

Once this had been completed, the point source emissions were subtracted from the 

statewide number for each fuel, resulting in the net area source component of industrial 

fuel combustion emissions. In cases where the point source emissions exceeded the 

gross area source estimate, the net area source emissions were reported as zero. 

68 
Table 4-42: Industrial Natural Gas Combustion Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 3,942.67 145.85 4,531.80 281.50 281.50 0.00 217.46 

DuPage 975.37 36.28 1,154.93 80.51 80.51 4.17 63.46 

Grundy Twps 0.00 0.00 0.42 0.08 0.00 0.00 0.03 

Kane 506.46 14.17 563.72 41.06 41.06 2.37 30.11 

Kendall Twps 30.27 1.22 37.10 1.75 1.75 0.21 2.05 

Lake 782.30 29.13 920.55 66.93 66.93 5.65 51.68 

McHenry 282.22 10.78 341.33 17.94 17.94 2.05 18.26 

Will 88.06 5.69 138.70 0.00 0.00 1.18 6.90 

Chicago NAA 6,607.35 243.12 7,688.54 489.77 489.69 15.63 389.95 

Madison 251.68 7.98 287.08 14.33 14.33 0.00 13.99 

Monroe 4.74 0.18 5.55 0.42 0.42 0.03 0.30 

Randolph Twps 0.74 0.02 0.86 0.07 0.06 0.01 0.05 

St. Clair 79.99 1.63 82.67 7.20 6.99 0.55 3.27 

Metro-East NAA 337.15 9.81 376.16 22.02 21.80 0.589 17.61 

Attainment Area 2,315.49 79.40 2,480.07 187.67 175.02 13.32 136.89 

State Total 9,259.99 332.33 10,544.78 699.45 686.51 29.54 544.45 

Table 4-43: Industrial Distillate Oil Combustion Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 56.85 8.75 228.13 11.47 3.00 462.41 2.30 

DuPage 13.45 2.15 53.83 2.69 0.67 107.01 0.53 

GrundyTwps 0.05 0.01 0.21 0.01 0.00 0.43 0.00 

Kane 7.53 1.20 30.07 1.50 0.37 59.68 0.30 

Kendall Twps 0.37 0.00 1.48 0.06 0.02 1.58 0.01 

Lake 9.59 1.55 41.68 1.67 0.55 87.18 0.38 

McHenry 3.92 0.62 15.69 0.78 0.20 30.40 0.15 

Will 3.54 0.56 14.18 0.70 0.19 23.84 0.14 

Chicago NAA 95.30 14.84 385.27 18.87 5.00 772.53 3.81 

Madison 0.00 0.57 0.00 0.18 0.18 26.03 0.00 

Monroe 0.06 0.01 0.25 0.01 0.00 0.50 0.00 

Randolph Twps 0.01 0.00 0.04 0.00 0.00 0.08 0.00 

St. Clair 0.93 0.15 3.73 0.11 0.06 0.13 0.03 

Metro-East NAA 1.00 0.73 4.02 0.30 0.24 26.74 0.03 

Attainment Area 39.83 5.98 167.38 8.30 2.27 353.20 1.48 

State Total 136.13 21.55 556.67 27.48 7.51 1152.47 5.32 

69 
Table 4-44: Industrial Residual Oil Combustion Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 0.03 0.01 0.37 0.04 0.03 1.04 0.00 

DuPage 0.04 0.01 0.48 0.06 0.04 1.35 0.00 

Grundy Twps 0.00 0.00 0.01 0.00 0.00 0.02 0.00 

Kane 0.00 0.00 0.01 0.00 0.00 0.02 0.00 

Kendall Twps 0.00 0.00 0.00 0.03 0.03 0.00 0.00 

Lake 0.05 0.01 0.55 0.07 0.04 1.56 0.00 

McHenry 0.01 0.00 0.20 0.02 0.01 0.57 0.00 

Will 0.06 0.01 0.71 0.09 0.06 1.98 0.00 

Chicago NAA 0.19 0.03 2.32 0.31 0.21 6.54 0.01 

Madison 0.01 0.00 0.13 0.01 0.01 0.38 0.00 

Monroe 0.00 0.00 0.04 0.01 0.00 0.12 0.00 

Randolph Twps 0.00 0.00 0.00 0.00 0.00 0.00 0.00 

St. Clair 0.13 0.02 1.50 0.19 0.13 2.90 0.01 

Metro-East NAA 0.14 0.02 1.67 0.21 0.14 3.40 0.01 

Attainment Area 5.65 0.93 63.97 11.75 8.06 206.04 0.30 

State Total 5.99 0.98 67.97 12.27 8.42 215.98 0.32 

4.3.14 Fuel Combustion- Residential 

Residential dwellings are defined as all structures containing fewer than 20 living units. 

Emissions are estimated for residential activities that utilize fuel for water heating, space 

heating and cooking. Fuels used for residential activities are natural gas, fuel oil, 

kerosene, LPG, coal and wood. The combustion of coal, kerosene and wood at 

residences during the summer months is assumed to be zero since these types of fuels 

are primarily used for space heating. 

4.3.14.1 Fuels other than Wood 

Emissions were calculated using emission factors from Reference 9. These factors are 

presented in Table 4-45. 

70 
Table 4-45: Residential Fuel Combustion Emission Factors other than Wood9 

Fuel Pollutant Emission Units 

Factor 

Natural Gas co 40 Lb/million cubic feet 

NOx 94 Lb/million cubic feet 

PM10 1.90 Lb/million cubic feet 

PM2.5 1.90 Lb/million cubic feet 

S02 0.60 Lb/million cubic feet 

VOM 5.5 Lb/million cubic feet 

Distillate Oil co 5 Lb/1 000 gallons 

NOx 18 Lb/1 000 gallons 

PM10 1.08 Lb/1 000 gallons 

PM2.5 0.83 Lb/1 000 gallons 

S02 42.60 Lb/1 000 gallons 

VOM 0.7 Lb/1 000 gallons 

Kerosene co 4.8 Lb/1 000 gallons 

NOx 17.4 Lb/1 000 gallons 

PM10 1.08 Lb/1 000 gallons 

PM2.5 0.83 Lb/1 000 gallons 

S02 41.1 Lb/1 000 gallons 

VOM 0.7 Lb/1 000 gallons 

LPG co 3.2 Lb/1 000 gallons 

NOx 13 Lb/1 000 gallons 

PM10 0.17 Lb/1 000 gallons 

PM2.5 0.17 Lb/1 000 gallons 

VOM 0.5 Lb/1 000 gallons 

Coal co 275 Lb/ton 

NOx 9.1 Lb/ton 

PM10 6.2 Lb/ton 

PM2.5 3.8 Lb/ton 

S02 102.3 Lb/ton 

VOM 10 Lb/ton 

Table 4-46: Statewide Residential Fuel Combustion Fuel Use19 

Fuel Annual Units 

Natural Gas 465,543 Million cubic feet 

Distillate Oil 11.4 Million gallons 

Kerosene 6.0 Million gallons 

LPG 228.23 Million gallons 

Coal 25,000 Tons 

Wood 437.3 1000 cords 

71 
Statewide fuel use was apportioned to counties based on data from the 2000 Census 

that provided the number of homes in each county that has that particular fuel used for 

primary heating. No data was available for kerosene so its distribution was assumed to 

be identical to distillate oil. 

Table 4-47: Residential Natural Gas Combustion Emissions (tons/year) 

County co NOx PM10 PM2.5 502 VOM 

Cook 4,256.26 10,002.21 202.17 202.17 63.84 585.24 

DuPage 721.68 1,695.95 34.28 34.28 10.83 99.23 

Grundy Twps 4.61 10.84 0.22 0.22 0.07 0.63 

Kane 303.63 713.53 14.42 14.42 4.55 41.75 

Kendall Twps 20.69 48.62 0.98 0.98 0.31 2.84 

Lake 481.40 1,131.30 22.87 22.87 7.22 66.19 

McHenry 197.05 463.08 9.36 9.36 2.96 27.09 

Will 381.10 895.59 18.10 18.10 5.72 52.40 

Chicago NAA 6,366.42 14,961.12 302.40 302.40 95.50 875.38 

Madison 185.89 436.84 8.83 8.83 2.79 25.56 

Monroe 11.65 27.38 0.55 0.55 0.17 1.60 

Randolph Twps 0.23 0.53 0.01 0.01 0.00 0.03 

St. Clair 174.05 409.02 8.27 8.27 2.61 23.93 

Metro-East NAA 371.82 873.77 17.66 17.66 5.57 51.12 

Attainment Area 2,572.62 6,045.60 122.18 122.18 38.60 353.68 

State Total 9,310.86 21,880.49 442.24 442.24 139.67 1,280.18 

Table 4-48: Residential Distillate Oil Combustion Emissions (tons/year) 

County co NOx PM10 PM2.5 502 VOM 

Cook 9.50 34.22 2.05 1.58 80.98 1.33 

DuPage 0.36 1.29 0.08 0.06 3.05 0.05 

Grundy Twps 0.01 0.04 0.00 0.00 0.11 0.00 

Kane 0.42 1.53 0.09 0.07 3.61 0.06 

Kendall Twps 0.10 0.35 0.02 0.02 0.84 0.02 

Lake 0.49 1.76 0.11 0.08 4.16 0.07 

McHenry 0.27 0.96 0.06 0.04 2.28 0.04 

Will 0.32 1.17 0.07 0.05 2.77 0.05 

Chicago NAA 11.47 41.33 2.48 1.90 97.79 1.62 

Madison 1.46 5.25 0.32 0.24 12.43 0.20 

Monroe 0.11 0.40 0.02 0.02 0.94 0.02 

Randolph Twps 0.00 0.02 0.00 0.00 0.04 0.00 

St. Clair 0.81 2.91 0.17 0.13 6.88 0.11 

Metro-East NAA 2.38 8.58 0.51 0.39 20.29 0.33 

Attainment Area 14.64 52.73 3.15 2.40 124.81 2.05 

State Total 28.49 102.63 6.14 4.69 242.89 4.00 

72 
Table 4-49: Residential Kerosene Combustion Emissions (tons/year) 

County co NOx PM10 PM2.5 502 VOM 

Cook 4.79 17.35 1.08 0.83 40.98 0.70 

DuPage 0.18 0.65 0.04 0.03 1.54 0.03 

Grundy Twps 0.01 0.02 0.00 0.00 0.05 0.00 

Kane 0.21 0.77 0.05 0.04 1.83 0.03 

Kendall Twps 0.05 0.18 0.01 0.01 0.42 0.01 

Lake 0.25 0.89 0.06 0.04 2.11 0.04 

McHenry 0.13 0.49 0.03 0.02 1.15 0.02 

Will 0.16 0.59 0.04 0.03 1.40 0.02 

Chicago NAA 5.77 20.94 1.31 1.00 49.48 0.85 

Madison 0.73 2.66 0.17 0.13 6.29 0.11 

Monroe 0.06 0.20 0.01 0.01 0.48 0.01 

Randolph Twps 0.00 0.01 0.00 0.00 0.02 0.00 

St. Clair 0.41 1.47 0.09 0.07 3.48 0.06 

Metro-East NAA 1.20 4.34 0.27 0.21 10.27 0.18 

Attainment Area 7.35 26.73 1.62 1.33 63.18 1.09 

State Total 14.33 52.01 3.20 2.54 122.93 2.12 

Table 4-50: Residential LPG Combustion Emissions (tons/year) 

County co NOx PM10 PM2.5 VOM 

Cook 47.91 194.65 2.55 2.55 7.49 

DuPage 2.66 10.79 0.14 0.14 0.41 

Grundy Twps 0.35 1.41 0.02 0.02 0.05 

Kane 3.41 13.87 0.18 0.18 0.53 

Kendall Twps 1.04 4.21 0.06 0.06 0.16 

Lake 2.59 10.52 0.14 0.14 0.40 

McHenry 4.34 17.64 0.23 0.23 0.68 

Will 6.12 24.87 0.33 0.33 0.96 

Chicago NAA 68.41 277.97 3.65 3.65 10.69 

Madison 9.61 39.05 0.51 0.51 1.50 

Monroe 4.68 19.01 0.25 0.25 0.73 

Randolph Twps 0.05 0.20 0.00 0.00 0.01 

St. Clair 8.71 35.38 0.46 0.46 1.36 

Metro-East NAA 23.05 93.64 1.22 1.22 3.60 

Attainment Area 279.06 1,133.70 14.83 14.83 43.62 

State Total 370.52 1,505.31 19.70 19.70 57.90 

73 
Table 4-51: Residential Coal Combustion Emissions (tons/year) 

County co NOx PM10 PM2.5 502 VOM 

Cook 2,249.12 74.43 50.71 31.08 177.48 81.79 

DuPage 70.75 2.34 1.60 0.98 5.58 2.57 

Grundy Twps 0.00 0.00 0.00 0.00 0.00 0.00 

Kane 37.24 1.23 0.84 0.51 2.94 1.35 

Kendall Twps 0.00 0.00 0.00 0.00 0.00 0.00 

Lake 0.00 0.00 0.00 0.00 0.00 0.00 

McHenry 7.45 0.25 0.17 0.10 0.59 0.27 

Will 37.24 1.23 0.84 0.51 2.94 1.35 

Chicago NAA 2,401.80 79.48 54.16 33.18 189.53 87.33 

Madison 7.45 0.25 0.17 0.10 0.59 0.27 

Monroe 11.17 0.37 0.25 0.15 0.88 0.41 

Randolph Twps 0.00 0.00 0.00 0.00 0.00 0.00 

St. Clair 0.00 0.00 0.00 0.00 0.00 0.00 

Metro-East NAA 18.62 0.62 0.42 0.25 1.47 0.68 

Attainment Area 1,072.45 35.54 24.19 14.81 84.64 39.01 

State Total 3,492.87 115.64 78.77 48.24 275.64 127.02 

4.3.14.2 Wood Combustion in Stoves and Fireplaces 

Residential wood combustion is defined as wood burning that takes place primarily in 

wood stoves and fireplaces. Residential wood burning occurs either as a necessary 

source of heat or for aesthetics. For the purposes of this inventory wood burning 

equipment is broken down into the following categories. 

• Fireplaces without inserts 

• Fireplaces with inserts 

o Catalytic, not EPA certified 

o Catalytic, EPA certified 

o Non-catalytic, EPA certified 

• Wood stoves 

o Conventional 

o Catalytic 

o Non-catalytic 

No survey was performed to determine the type and amount of devices burning wood at 

residences. Rather, the American Housing Survey2°·21 •

22 was used to establish the 

number of devices. No single report included the entire state of Illinois so it was 

necessary to use reports from different years. Table 4-52 indicates which reports were 

used for each county. The 2001 report was not specific to any counties but was for the 

Midwest Region. 

74 
Table 4-52: Application of American Housing Survey 

Counties Year of American 

Housina Survev 

Cook, DuPage, Grundy, Chicago 1999 

Kendall, Lake, McHenry 

and Will 

Clinton, Jersey, Madison, St. Louis 1996 

Monroe, St. Clair 

All other counties National 2001 

The number of wood stoves for each county using wood as the primary heat source was 

calculated using the ratio of wood stoves to total devices from the applicable American 

Housing Survey times the number of residences using wood as a primary heat source. 

This same calculation was performed for fireplaces using wood as the primary heat 

source. To calculate the number of wood stoves using wood as a secondary heat 

source, the ratio of secondary to primary heating fuel for wood stoves was used from 

the applicable American Housing Survey and multiplied by the previously calculated 

amount of wood stoves using wood as a primary fuel. The same calculation was 

performed for fireplaces. 

The number of wood stoves and fireplaces was summed to obtain the total number of 

devices burning wood in the state. This value was used to apportion the amount of 

wood burned in the state, 538,000 cords 19 or 0.626 tons to the county level. It was 

noticed that the number of devices burning wood that was calculated using the 

methodology above yielded an absurdly high number of devices per residence. This 

value was typically in the range of 10-15 stoves/fireplaces per residence. Using this 

value does not cause a problem with the inventory since the percentage, and not the 

individual numbers, are being used to apportion fuel use. 

From Reference 9, the amount of wood burned in fireplaces was 65.6 percent of the 

total amount of wood burned. The amount of wood burned was then used in the 

following equation to calculate emissions. For the nonattainment townships, emissions 

were apportioned to the township level using population. 

E = WOOD * EF I 2000 

Where E = emissions (tons/year) 

WOOD = amount of wood burned in the particular device (tons/year) 

EF = appropriate emission factor from Table 4-53 

75 

(4.13) 
Table 4-53: Residential Wood Combustion Emission Factors9 (lb/ton burned) 

Type of Device and Pollutant Emission 

Factor 

Fireplace w/o insert 

co 64.1 

NOx 2.6 

PM10 11.8 

PM2.5 11.8 

S02 0.4 

VOM 229.0 

Fireplace with insert (catalytic, not EPA certified) 

co 231.0 

NOx 2.8 

PM10 30.6 

PM2.5 30.6 

S02 0.4 

VOM 53.1 

Fireplace with insert (non-catalytic, EPA certified) 

co 141.0 

NOx 0.0 

PM10 19.6 

PM2.5 19.6 

S02 0.4 

VOM 12.0 

Fireplace with insert (catalytic, EPA certified) 

co 104 

NOx 2.0 

PM10 20.4 

PM2.5 20.4 

S02 0.4 

VOM 15.0 

Wood Stove (conventional) 

co 231.0 

NOx 2.8 

PM10 30.6 

PM2.5 30.6 

S02 0.4 

VOM 53.0 

Wood Stove (catalytic) 

co 104.0 

NOx 2.0 

PM10 20.4 

PM2.5 20.4 

S02 0.4 

VOM 15.0 

Wood Stove (non-catalytic) 

co 141.0 

NOx 0.0 

PM10 19.6 

PM2.5 19.6 

S02 0.4 

VOM 12.0 

76 
Table 4-54: Residential Wood Combustion Fireplace Emissions (tons/year) 

County co NOx PM10 PM2.5 502 VOM 

Cook 1,250.57 27.34 189.06 189.06 4.19 1,748.88 

DuPage 201.92 4.41 30.53 30.53 0.68 282.46 

Grundy Twps 43.66 0.96 6.60 6.60 0.15 61.07 

Kane 316.67 6.93 47.87 47.87 1.06 442.87 

Kendall Twps 45.43 0.99 6.86 6.86 0.15 63.48 

Lake 543.87 11.89 82.22 82.22 1.82 760.69 

McHenry 773.46 16.90 116.93 116.93 2.59 1,081.62 

Will 818.14 18.25 120.75 120.75 2.68 1,116.98 

Chicago NAA 3,993.71 87.67 600.83 600.83 13.32 5,558.05 

Madison 1,115.14 27.87 174.73 174.73 4.27 1,965.90 

Monroe 356.54 5.66 88.36 88.36 2.15 992.44 

Randolph Twps 5.65 0.08 0.87 0.87 0.02 4.60 

St. Clair 371.91 4.85 102.53 102.53 2.51 1 '149.76 

Metro-East NAA 1,849.24 38.46 366.49 366.49 8.95 4,112.70 

Attainment Area 24,066.82 409.79 3,346.44 3,346.44 59.77 18,433.61 

State Total 29,909.78 535.92 4,313.76 4,313.76 82.03 28,104.36 

Table 4-55: Residential Wood Combustion Wood Stove Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 20,252,04 2,031.36 21,056.48 12,776.11 5,188.80 2,207.73 53,365.17 

DuPage 3,642.29 277.51 4,200.41 5,018.90 1,531.11 402.05 9,577.12 

Grundy Twps 99.17 32.83 19.07 530.53 118.81 2.30 235.53 

Kane 1,961.32 720.20 1,663.18 6,917.84 1,623.69 160.94 5,065.92 

Kendall Twps 175.06 62.80 108.94 502.76 123.94 9.02 472.38 

Lake 3,190.32 369.08 2,811.19 4,199.48 1,282.03 269.73 8,428.69 

McHenry 2,313.97 1,087.12 1,059.14 8,434.53 1,971.83 97.09 4,624.66 

Will 2,605.31 543.43 1,406.67 10,040.03 2,339.45 141.41 7,320.74 

Chicago NAA 34,239.48 5,124.32 32,325.06 48,420.19 14,179.65 3,290.25 89,090.21 

Madison 3,124.54 705.82 1,020.40 5,094.04 1,400.73 109.08 6,209.27 

Monroe 1,076.94 517.34 85.61 3,087.52 769.36 11.78 1,741.02 

Randolph Twps 13.85 21.15 1.97 235.03 48.56 0.27 46.90 

St. Clair 1,651.86 649.27 710.86 4,178.65 1,086.92 75.14 4,640.10 

Metro-East NAA 5,867.20 1,893.57 1,818.84 12,595.24 3,305.56 196.26 12,637.29 

Attainment Area 54,009.93 67,068.72 13,291.65 38,4931.80 83,353.25 1777.52 12,0662.72 

State Total 94,116.61 74,086.61 47,435.56 44,5947.24 10,0838.46 5,264.03 22,2390.22 

77 
4.3.15 Gasoline Marketing 

Gasoline is produced by petroleum refineries and then is transported through a 

distribution network to customers. The distribution network is a complex system that 

includes many wholesale and retail outlets. The network includes a variety of storage 

and transfer facilities. Gasoline may be transported by tanker ships and barges, 

through pipelines or by rail tank cars or trucks. The four main sources of emissions in 

the distribution network are: 

• Service station loading (Stage I) 

• Vehicle refueling (Stage II) 

• Tank truck leaks 

• Storage tank breathing 

4.3.15.1 Service Station Loading (Stage I) 

Emissions from service station loading occur as a vapor is forced out of a storage tank 

during the transfer of fuel from a tank truck. This process is commonly referred to as 

Stage I. The quantity of emissions is based on the throughput of gasoline and is 

affected by the fuel temperature, fuel volatility and whether vapor recovery is required. 

Vapor recovery is required in the entire Chicago and Metro East nonattainment areas. 

Vapor recovery is also required in certain attainment counties which include Boone, 

Peoria, Rock Island Tazewell and Winnebago Counties. For areas required to have 

vapor recovery, a 95 percent control efficiency is assumed with a rule effectiveness of 

95 percent. 

Table 4-56: Stage I Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

78 

VOM 

639.32 

159.37 

20.34 

63.44 

25.35 

108.67 

38.35 

82.50 

1,137.34 

55.48 

6.75 

0.78 

52.94 

115.95 

5,088.62 

6,341.91 
4.3.15.2 Vehicle Refueling (Stage II) 

Emissions from vehicle refueling, commonly known as Stage II, occur as vapors are 

displaced from automobile tanks during filling and from spillage of gasoline. The 

quantity of displaced vapors is based on gasoline throughput and is affected by liquid 

temperature, volatility and the affect of vapor recovery equipment Stage II vapor 

recovery equipment is required at all service stations in the Chicago NAA that market in 

excess of 10,000 gallons per month. The combination of this applicability level and the 

annual inspection cycle results in an overall program efficiency of 84 percent Using 

these inputs and assuming the use of reformulated gasoline, the MOBILE6 model 

generated a vehicle refueling emission factor of 0.029 gNMT. 

Stage II vapor recovery is not required in the Metro-East NAA. In determining the Stage 

II emission factor with the MOBILE6 model, a 30 percent ethanol blend market share 

was included. This resulted in a vehicle refueling emission factor of 0.136 gNMT. 

Stage II vapor recovery is also not required in the attainment areas of the state. The 

MOBILE6 model was used to calculate emission factors using a 30 percent market 

share of ethanol blend. This calculation was performed once for the counties in the 

northern part of the state, resulting in an emission factor of 0.145 gNMT, and once for 

the counties in the southern part of the state, resulting in an emission factor of 0.157 

gNMT. 

Statewide and countywide ADVMT information was obtained from I DOT's 2002 Illinois 

Travel Statistics23. Emissions are calculated using the following formula. Emissions in 

the nonattainment townships are based on the percentage of VMT of the township to 

the whole county. 

E = VMT * EF I 453.59 I 2000 

Where E = emissions (tons/year) 

VMT = vehicle miles traveled 

EF =emission factor from Table 4-57 (gNMT) 

Table 4-57: Stage II Emission Factors (grams VOMNMT) 

Area of the State 

Chicago NAA 

Metro-East NAA 

Northern 

Southern 

79 

Emission 

Factor 

0.029 

0.136 

0.145 

0.157 

(4.14) 
Table 4-58: Stage II Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

4.3.15.3 Gasoline Tank Truck Leaks 

VOM 

1,092.22 

272.27 

4.53 

108.38 

5.64 

185.66 

65.52 

140.95 

1,875.16 

415.82 

50.60 

0.95 

396.82 

864.19 

6,777.69 

9,517.04 

Evaporation of gasoline vapor from loaded tank trucks during transportation of gasoline 

from the bulk plant/terminal to the service station and evaporation from empty tank 

trucks returning from service stations to bulk plants/terminals are covered by this 

category. Emissions are based on the volume of gasoline transported and are affected 

by temperature and volatility. Some gasoline may go through bulk plants before 

distribution to service stations. For this reason gasoline throughput figures are adjusted 

by a factor of 1.25 to estimate total gasoline transported. 

Emission factors for transit losses were developed from Table 5.2-5 of AP-422 

Statewide and countywide ADVMT information was obtained from I DOT's 2002 Illinois 

Travel Statistics23. County gasoline usage was estimated by apportioning statewide 

gasoline consumption to the county level by VMT. Emissions are calculated using the 

following formula. Emissions in the nonattainment townships are based on the 

percentage ofVMT of the township to the whole county. 

E = GALgas * EFgas + GALetoh * EFetoh /1000/2000 

Where E =emissions (tons/year) 

GALgas = gallons of gasoline used 

EFgas =emission factor for gasoline (lb VOM/1 000 gallons) 

GALetoh = gallons of ethanol blend used 

EFetoh =emission factor for ethanol blend (lb VOM/1000 gallons) 

80 

(4.15) 
Table 4-59: Tank Truck Leak Emission Factors (lb VOM/1 000 gallons) 

Area of the State Gasoline Ethanol 

Chicago NAA 0.16 

Metro-East NAA 0.19 0.24 

Northern 0.19 0.22 

Southern 0.22 0.24 

Table 4-60: Gasoline Tank Truck Leak Emissions (tons/year) 

County VOM 

Cook 171.12 

DuPage 42.66 

Grundy Twps 0.88 

Kane 16.98 

Kendall Twps 1.09 

Lake 29.09 

McHenry 10.26 

Will 22.08 

Chicago NAA 294.16 

Madison 16.53 

Monroe 2.01 

Randolph Twps 0.04 

St. Clair 15.77 

Metro-East NAA 34.35 

Attainment Area 269.57 

State Total 598.08 

4.3.15.4 Underground Storage Tank Breathing 

Underground storage tank breathing losses include evaporation of gasoline vapors from 

the storage tank and from the lines going to the pumps during the transfer of gasoline. 

Emissions are also due to changes in temperature and barometric pressure. Emission 

are based on gasoline throughput and affected by gasoline temperature and volatility. 

A requirement of the Chicago and Metro-East 15% ROP was to install pressure vacuum 

relief valves on all underground gasoline storage tanks. Installation of these valves was 

estimated to reduce emissions by 95 percent. 

Emission factors for transit losses were developed from Table 5.2-5 of AP-422

. 

Statewide and countywide ADVMT information was obtained from lOOT's 2002 Illinois 

Travel Statistics23. County gasoline usage was estimated by apportioning statewide 

gasoline consumption to the county level by VMT. Emissions are calculated using the 

following formula. Emissions in the nonattainment townships are based on the 

percentage of VMT of the township to the whole county. 

81 
E = GAL9as * EF gas + GALetoh * EF etoh /1000 12000 

Where E = emissions (tons/year) 

GALgas = gallons of gasoline used 

EF985 =emission factor for gasoline (lb VOM/1000 gallons) 

GALetoh = gallons of ethanol blend used 

EF etoh = emission factor for ethanol blend (lb VOM/1 000 gallons) 

Table 4-61: Underground Storage Tank Breathing Emission Factors 

(lb VOM/1 000 gallons) 

Area of the State Gasoline Ethanol 

Chicago NAA 0.04 

Metro-East NAA 0.04 0.05 

Northern 0.91 4.20 

Southern 0.97 4.09 

Table 4-62: Underground Storage Tank Breathing Emissions (tons/year) 

4.3.16 Graphic Arts 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

VOM 

31.94 

7.96 

3.27 

3.17 

4.07 

5.43 

1.92 

4.12 

61.88 

2.98 

0.36 

0.14 

2.84 

6.32 

991.21 

1,059.41 

(4.16) 

Graphic arts includes the printing of newspapers, books, magazine, fabrics, wall 

coverings and other materials. Five types of printing are used in the industry: 

letterpress, flexography, lithography, rotogravure and screen press printing. Graphic 

arts emissions are based on a per capita emission factor of 1.3 lb VOM/person24. The 

point source inventory includes graphic arts sources. Therefore, point source emissions 

were subtracted from gross graphic arts emission estimate derived using the per capita 

emission factor. All processes in the point source inventory that had an SCC of the 

82 
format 405xxxxx were deemed to be graphic arts related processes. In situations where 

the point source emission total exceeds the gross area source emission estimate, the 

net area source emission estimate is zero. Emissions from the nonattainment 

townships were calculated using the percentage of the population for the applicable 

township. 

E = POP * EF /2000 - PS 

Where E = emissions (tons/year) 

POP= population 

EF =emission factor (1.3 lb VOM/person/year) 

PS = point source emissions (tons/year) 

4.3.17 Incineration 

Table 4-63: Graphic Arts Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

VOM 

2,109.97 

216.38 

0.00 

0.00 

20.69 

177.71 

0.00 

336.77 

2,861.52 

157.26 

13.81 

0.31 

150.19 

321.57 

1,717.70 

4,900.79 

(4.17) 

An incinerator is a device in which refuse is burned. All incinerators at industrial, 

commercial and institutional locations require a permit. Incinerators at residences also 

require a permit. It is very unlikely that a residence has an incinerator. Residential 

waste incinerators, if they do exist, would contribute an insignificant amount of 

emissions to the inventory. For these reasons, residential waste incinerators were not 

included in the inventory. 

While all incinerators require a permit, it is possible that small companies are not aware 

of the regulation and do not obtain a permit for their incinerator and therefore do no 

have their emissions included in the point source inventory. To account for this possible 

shortfall, incinerators at industrial/commercial/institutional sources have been 

calculated. Based upon the known incinerators and the methodology of calculating area 

83 
source emissions, it is likely the emissions for this category are over-estimated. 

Emissions for the nonattainment townships where calculated using the population of the 

applicable township. 

E =POP* WG * EF * MAF /1000/2000- PS 

Where E = emissions (tons/year) 

POP = population 

WG =waste generation rate (87 lb/1 000 persons)3 

EF =emission factor from Table 4-64 

MAF = methane adjustment factor 

1 for CO and NOx 

0.66 forVOM 

PS = point source emissions (tons/year) 

Table 4-64: Incineration Emission Factors (lb ton/burned)3 

Pollutant 

co 

NOx 

PM10 

PM2.5 

802 

VOM 

Emission 

Factor 

10.0 

3.0 

4.7 

3.2 

2.5 

3.0 

(4.18) 

Table 4-65: Industrial/Commercial/Institutional Incineration Emissions (tons/year) 

County co NOx PM10 PM2.5 502 VOM 

Cook 2,278.74 684.17 1099.43 748.55 584.80 445.57 

DuPage 393.44 114.83 189.03 128.70 100.55 73.80 

Grundy Twps 2.87 0.86 1.35 0 .. 92 0.72 0.57 

Kane 187.49 57.73 90.58 61.67 48.18 38.07 

Kendall Twps 13.24 4.10 6.51 4.43 3.46 2.69 

Lake 279.84 82.86 137.97 93.94 73.39 52.91 

McHenry 117.17 36.17 56.78 38.66 30.20 23.85 

Will 235.92 72.64 114.46 77.93 60.88 47.80 

Chicago NAA 3,508.72 1,053.37 1,696.11 1,154.80 902.18 685.26 

Madison 109.78 33.34 53.45 36.39 28.43 21.74 

Monroe 12.64 3.79 5.94 4.04 3.16 2.50 

Randolph Twps 0.21 0.06 0.10 0.07 0.05 0.04 

St. Clair 102.73 31.36 52.73 35.90 28.05 19.92 

Metro-East NAA 225.36 68.55 112.22 76.40 59.69 44.20 

Attainment Area 1,528.73 472.67 767.90 522.81 408.46 308.40 

State Total 5,262.80 1,594.59 2,576.23 1,754.01 1,370.33 1,037.86 

84 
4.3.18 Industrial Surface Coating 

The category of industrial surface coating includes the following categories 25: 

• Appliances 

• Automobiles (new) 

• Electricallnsulation 

• Factory Finished Wood 

• Furniture and Fixtures 

• High-performance Maintenance Coatings 

• Machinery and Equipment 

• Marine Coatings 

• Metal Containers 

• Other Product Coatings 

• Other Special Purpose Coatings 

• Other Transportation Equipment 

• Sheet, Strip and Coil 

The vast majority of these categories have some corresponding emissions in the point 

source inventory so care must be taken not to double-count industrial surface coating 

emissions. The point source inventory includes all sources that are permitted. There is 

no emission threshold or cutoff for obtaining a permit in the case of industrial surface 

coating. However, sources that use less than 5000 gallons of coating and solvent per 

year are not required to obtain a permit 

For the categories above, the typical method of calculating emissions is using an 

employee-based emission factor (e.g., lb VOM/employee/year). A review of 

employment data by SIC/NAICS shows that many of the sources (and therefore 

emissions) are present in the inventory. For example, there are known to be no cases 

where automobiles or appliances are coated that do not have a permit and do not exist 

in the point source inventory. Most of the other categories have the same result 

The EIIP methodology for the industrial surface coating sector was written in 1997 and 

the emission factors were developed in 1991. Coating formulation and technology has 

changed dramatically since then. In addition, new regulations have been enacted which 

have forced this change or add-on control equipment The point source emissions for 

the industrial surface coating sector are deemed to be of high quality and are based on 

current technology, not data from over ten years prior. The emission factors in the EIIP 

document are out of date and using them in conjunction with the point source inventory 

would introduce large errors. For this reason, only the categories of High-performance 

Maintenance Coatings, Other Product Coatings and Other Special Purpose Coatings 

are included in this category. These categories were deemed to have the least overlap 

with point sources and had the advantage of being based on population rather than 

employment Emissions for the nonattainment townships were calculated using the 

percentage of the population for the applicable townships. 

85 
Emissions were calculated using the following formula: 

E = POP * EF I 2000 

Where E =emissions (tons) 

POP = population 

EF =emission factor from Table 4-66 (lb VOM/person/year) 

(4.19) 

Table 4-66: Industrial Surface Coating Emission Factors (lb VOM/person/year)25 

Coating Category Emission 

Factor 

High-performance Maintenance 

Other Product 

0.8 

0.6 

other Special Purpose 0.8 

Table 4-67: Industrial Surface Coating Emissions (tons/year) 

County VOM 

Cook 5,915.26 

DuPage 1,017.05 

Grundy Twps 7.26 

Kane 487.35 

Kendall Twps 35.02 

Lake 742.34 

McHenry 305.48 

Will 615.85 

Chicago NAA 9,125.61 

Madison 287.55 

Monroe 31.96 

Randolph Twps 0.52 

St. Clair 283.69 

Metro-East NAA 603.72 

Attainment Area 4,131.33 

State Total 13,860.66 

86 
4.3.19 Marine Vessel VOL Loading and Transport 

This category includes the emissions of VOM that occur from the loading and transport 

of volatile organic liquid (VOL) such as gasoline and crude oil onto and from ships and 

barges. This category does not include emissions from the combustion of fuels in the 

vessel's engine. Those emissions are included in the off-highway mobile source 

category. Categories inventoried include: 

• VOL Loading Losses 

• Ship and Barge Transport 

• Tanker Ballasting 

• Barge and Tanker Cleaning 

Statistics regarding quantities of petroleum and petroleum products loaded and 

transported on state waterways for the 1990 inventory was taken from both the Army 

Corps of Engineer's Waterborne Commerce of the United States26 and the Illinois 

Department of Transportation report Illinois Waterborne Shipping Database27. Due to 

the relatively small amount of emissions generated by this category, the emissions were 

estimated using growth factors based on the increased statewide use of gasoline from 

1990 to 2002. The 1990 statewide gasoline usage value was 4.441 billion gallons and 

the 2002 value was 5.212 billion gallons. This equates to a 17.4 percent increase. 

Therefore, a multiplier of 1.17 4 was applied to the .1990 emissions for each of the four 

categories. 

One of the ROP measures enacted in the Chicago and Metro-East areas was the 

required control of the summertime loading of gasoline and crude oil. This regulation 

requires terminals to capture and destroy 95 percent of all emissions generated by such 

loading operations. An alternative compliance option does not require the installation of 

vapor recovery equipment if the facility agrees not to load such products during the 

ozone season. Loading operations are sufficiently large enough to obtain a permit so all 

of the emissions are included in the point source inventory. Also, since no permit 

applications have been submitted for any non-point source loading operations, it can be 

assumed the affected sources are choosing to comply with the regulation by ceasing 

any summertime loading. 

The emissions for the Metro-East area were used to approximate emissions for the 

other counties along the Mississippi River. These emissions were calculated using the 

ratio of the amount of shoreline for the county to be calculated to the amount of 

shoreline for Monroe County. Since daily emissions were calculated, annual emissions 

were calculated assuming six days per week of operation and 52 weeks per year. 

87 
Table 4-68: Marine Vessel VOL Loading and Transport Emissions (tons/year) 

4.3.20 Open Burning 

County 

Cook 

DuPage 

GrundyTwps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

VOM 

109.20 

0.00 

6.24 

0.00 

0.00 

0.00 

0.00 

90.48 

227.76 

149.76 

28.08 

7.59 

6.24 

191.67 

522.82 

942.24 

Open burning is the burning of materials in outdoor areas such as forests, prairies, 

yards and farmlands that are set intentionally. This category does not include material 

burning in dedicated combustion devices nor does it include emissions from forest fires 

or structure fires. Emissions from prescribed burning, residential household waste and 

yard waste combustion are included in this inventory. 

4.3.20.1 Prescribed Burning 

Prescribed burning takes place when fire is intentionally set to a forest or land (e.g., 

prairie). The total number of acres burned, 2735, was obtained from USEPAB This 

value was apportioned to the county level by the number of acres of forest, scrub and 

grass acreage. The emission factor used was for non-piled material. Emissions for the 

nonattainment townships were calculated using the percentage of land area for the 

applicable townships. 

Emissions were calculated using the following formula: 

E =ACRES * CF * (1 + SF) * EF I 2000 

Where E = emissions (tons/year) 

ACRES = number of acres burned 

CF = consumption factor (3 tons burned/acre burned) 

SF = smoldering factor (0.083) 

EF =emission factor from Table 4-69 (lb/ton burned) 

88 

(4.20) 
Table 4-69: Prescribed Burning Emission Factors (lb/ton material burned)9 

Pollutant Emission 

Factor 

co 289 

NH3 1.3 

NOx 6.2 

PM10 28.1 

PM2.5 24.1 

S02 1.7 

VOM 13.6 

Table 4-70: Prescribed Burning Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 802 VOM 

Cook 30.53 0.14 0.66 2.97 2.55 0.18 1.44 

DuPage 15.42 0.07 0.33 1.50 1.29 0.09 0.73 

Grundy Twps 0.15 0.00 0.00 0.02 0.01 0.00 0.01 

Kane 12.67 0.06 0.27 1.23 1.06 0.08 0.60 

Kendall Twps 0.35 0.00 0.01 0.03 0.03 0.00 0.02 

Lake 4.24 0.02 0.09 0.41 0.35 0.03 0.20 

McHenry 12.26 0.06 0.26 1.19 1.02 0.07 0.58 

Will 15.38 0.07 0.33 1.50 1.28 0.09 0.72 

Chicago NAA 90.99 0.41 1.95 8.85 7.59 0.54 4.28 

Madison 23.87 0.11 0.51 2.32 1.99 0.14 1.12 

Monroe 13.73 0.06 0.29 1.34 1.15 0.08 0.65 

Randolph Twps 1.78 0.01 0.04 0.17 0.15 0.01 0.08 

St. Clair 18.93 0.09 0.41 1.84 1.58 0.11 0.89 

Metro-East NAA 58.30 0.26 1.25 5.67 4.86 0.34 2.74 

Attainment Area 1134.78 5.11 24.35 110.34 94.63 6.68 53.40 

State Total 1284.07 5.78 27.55 124.85 107.08 7.56 60.42 

4.3.20.2 Residential Household Waste 

This category includes material generated as waste at residences that is burned in 

something other than a device meant to incinerate the waste. Illinois law prohibits all 

burning except for landscape waste (i.e., leaves and branches). Even though there is a 

law prohibiting burning of this type of waste outdoors, this does occur. A rule 

effectiveness of 95 percent has been assumed. It is further assumed that waste 

generated at industrial, commercial and institutional sources do not perform open 

burning of waste. Emissions for the nonattainment townships were calculated using the 

percentage of the population for the applicable townships. 

89 
Emissions were calculated using the following formula: 

E = RPOP I 1000 * LF * EF * (1- RE) (4.21) 

Where E = Emissions (tons/year) 

RPOP = rural population 

LF =loading factor (450 tons material burned/1 000 rural population)9 

EF =emission factor from Table 4-71 (lb/ton of ton of material burned) 

RE =rule effectiveness (0.95) 

Table 4-71: Residential Household Waste Combustion Emission Factors 

(lb/ton material burned)9 

Pollutant Emission 

Factor 

co 85 

NOx 6 

PM10 38 

PM2.5 34.8 

S02 1 

VOM 30 

Table 4-72: Residential Household Waste Combustion Emissions (tons/year) 

County co NOx PM10 PM2.5 502 VOM 

Cook 0.00 0.00 0.00 0.00 0.00 0.00 

DuPage 0.00 0.00 0.00 0.00 0.00 0.00 

Grundy Twps 0.93 0.07 0.42 0.38 0.01 0.33 

Kane 0.00 0.00 0.00 0.00 0.00 0.00 

Kendall Twps 3.00 0.21 1.34 1.23 0.04 1.06 

Lake 0.00 0.00 0.00 0.00 0.00 0.00 

McHenry 0.00 0.00 0.00 0.00 0.00 0.00 

Will 0.00 0.00 0.00 0.00 0.00 0.00 

Chicago NAA 3.93 0.28 1.76 1.61 0.05 1.38 

Madison 0.00 0.00 0.00 0.00 0.00 0.00 

Monroe 4.72 0.33 2.11 1.93 0.06 1.67 

Randolph Twps 0.07 0.01 0.03 0.03 0.00 0.03 

St. Clair 0.00 0.00 0.00 0.00 0.00 0.00 

Metro-East NAA 4.79 0.34 2.14 1.96 0.06 1.70 

Attainment Area 419.86 29.66 187.69 171.90 4.93 148.13 

State Total 428.58 30.27 191.59 175.47 5.04 151.21 

90 
4.3.20.3 Yard Waste 

This category includes the open burning of leaves and brush at residences. Many cities 

prohibit the open burning of this type of waste, however, this was not accounted for in 

the calculation which results in emissions being overestimated. The rural population 

was estimated based on the rural percentage of the population from the 2000 Census. 

Emissions were calculated using the following formula9

: 

E = RPOP * FF * WG * AF * PCTB * (EFB + EFL) 

Where E = Emissions (tons/year) 

RPOP = rural population 

FF =forested factor (0, 0.5, or 1) 

WG =waste generation rate (0.538 lb/day/person) 

AF = activity adjustment factor, percent burned on-site (0.28) 

PCT = percent burned (0.25 for brush and leaves) 

(4.22) 

EF =emission factor from Table 4-73 (lb/ton of ton of material burned) 

Table 4-73: Yard Waste Combustion Emission Factors (lb/ton material burned)9 

Type of Pollutant Emission 

Waste Factor 

Brush co 140 

PM10 17 

PM2.5 17 

VOM 19 

Leaves co 112 

PM10 38 

PM2.5 38 

VOM 28 

91 
Table 4-74: Yard Waste Combustion Emissions (tons/year) 

County co PM10 PM2.5 VOM 

Cook 0.00 0.00 0.00 0.00 

DuPage 0.00 0.00 0.00 0.00 

Grundy Twps 0.00 0.00 0.00 0.00 

Kane 0.00 0.00 0.00 0.00 

Kendall Twps 3.54 0.78 0.78 0.66 

Lake 0.00 0.00 0.00 0.00 

McHenry 0.00 0.00 0.00 0.00 

Will 0.00 0.00 0.00 0.00 

Chicago NAA 3.54 0.78 0.78 0.66 

Madison 0.00 0.00 0.00 0.00 

Monroe 11.18 2.43 2.43 2.08 

Randolph Twps 0.09 0.04 0.04 0.03 

St. Clair 0.00 0.00 0.00 0.00 

Metro-East NAA 11.36 2.47 2.47 2.11 

Attainment Area 673.73 147.10 147.10 125.61 

State Total 688.62 150.34 150.34 128.38 

4.3.21 Pavement Markings 

Pavement markings include highway painting of centerlines, edge stripes and 

directional marking and painting of bridges. 

Illinois' portion of traffic paint usage in was estimated by multiplying the percentage of 

on-road and highway spending to the national paint usage data obtained from the Paint 

and Allied Products report (MA325F(20)-1) 11 . An average application rate of 12.28 

gallons per road lane mile was obtained by dividing the total Illinois road lane miles by 

the total amount of paint usage. The EIIP for pavement markings28 gives a VOM 

content of 3.36 lb VOM/gallon. This yields an emission factor of 44.26 lb VOM/Iane 

mile/year. This value was multiplied by the lane mileage obtained from the I DOT Office 

of Planning and Programming 13. Emissions for the nontattainment townships was 

based on the percentage of road miles in the township. 

Pavement marking coatings were one of the categories included in the USEPA's 

architectural and industrial maintenance coatings national rule. This regulation limited 

the VOM content of traffic marking paints to 150 grams per liter. This equates to a 63.7 

percent reduction in VOM content and emissions. 

E = LM * EF * (1-CE) /2000 

Where E = Emissions (tons/year) 

LM = lane miles (miles) 

EF =emission factor (44.26 lb VOM/Iane mile/year) 

CE = control efficiency (0.637) 

92 

(4.23) 
Table 4-75: Pavement Marking Emissions (tons/year) 

County 

Cook 

DuPage 

GrundyTwps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

4.3.22 Portable Fuel Containers 

VOM 

135.60 

37.34 

0.82 

24.08 

0.69 

32.46 

16.77 

33.63 

281.38 

19.54 

2.55 

0.31 

18.23 

40.63 

499.96 

821.97 

Portable fuel containers (e.g., gasoline cans) are used to transfer small amounts of fuel 

from the purchasing point to the point of use. This fuel is then used to power 

commercial and residential off-highway vehicles and equipment 

Emissions from portable fuel containers reach the atmosphere in various ways. These 

are identified as follows: 

• Permeation -liquid movement through the container out to the atmosphere 

• Diurnal - emissions from the fluctuation of the daily temperature 

• Spilling during transport of the container 

• Spilling during filling of the container 

• Vapor displacement losses during filling 

Emissions were calculated using the California Air Resources Board methodology29 

using the same ratios as California. This results in the following formula: 

E =CANS * (EFp + EFd + EFts+ EFrs + EFvd) I 2000 

Where E = emissions (tons/day) 

CANS = nurnber of fuel containers 

Efp =emission factor for permeation (lb/can/day) 

Efd = emission factor for diurnal emissions (lb/can/day) 

Efts= emission factor for transport spillage (lb/can/day) 

Efrs = emission factor for refueling spillage (lb/can/day) 

Efvd = emission factor for vapor displacement (lb/can/day) 

93 

(4.24) 
The particular values used for the emission factors can be found in the following 

sections. It was assumed that commercial and residential operations are performed 

250 days per year. 

4.3.22.1 Commercial 

The population of fuel containers in a county was based upon the same ratio of 

commercial to residential containers as CARB times the number of residential fuel 

containers in a county calculated for Illinois. Emissions for the nonattainment townships 

were calculated using population. 

Table 4-76: Commercial Portable Fuel ContainerVOM Emission Factors (lb/can/day)29 

Type of Emissions 

Permeation 

Diurnal 

Transport Spillage 

Refueling Spillage 

Vapor Displacement 

Emission Factor 

0.0014 

0.0178 

0.0089 

0.0014 

0.00047 

Table 4-77: Commercial Portable Fuel Container Emissions (tons/year) 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

94 

VOM 

420.95 

69.43 

0.52 

28.55 

2.09 

46.12 

19.06 

35.72 

622.43 

21.74 

2.19 

0.04 

20.64 

44.61 

312.05 

979.09 
4.3.22.2 Residential 

The population of fuel containers was estimated based upon the number of occupied 

housing units in each county. Emissions for the nonattainment townships were 

calculated using the population. 

Table 4-78: Residential Portable Fuel Container Emission Factors (lb VOM/can/day) 29 

Type of Emissions 

Permeation 

Diurnal 

Transport Spillage 

Refueling Spillage 

Vapor Displacement 

Emission Factor 

0.0015 

0.0128 

0.0007 

0.0014 

0.00047 

Table 4-79: Residential Portable Fuel Container Emissions (tons/year) 

4.3.23 Solvent Cleaning 

County 

Cook 

DuPage 

Grundy Twps 

Kane 

Kendall Twps 

Lake 

McHenry 

Will 

Chicago NAA 

Madison 

Monroe 

Randolph Twps 

St. Clair 

Metro-East NAA 

Attainment Area 

State Total 

VOM 

3,741.02 

617.00 

4.60 

253.74 

18.52 

409.88 

169.42 

317.49 

5,531.68 

193.20 

19.47 

0.32 

183.45 

396.44 

2773.16 

8,701.28 

Solvent cleaning operations are those that employ non-aqueous solvents to remove 

grease, fats, oil, waste or other impurities from the surface of metal, glass or plastic 

articles that are to be further processed. Degreasing is conducted in a variety of 

industries with three basic cleaning designs used: small cold cleaning operations, open 

top vapor degreasers and conveyorized degreasers. These solvent cleaning operations 

can also be included in the point source inventory. Processes with an SCC of 401 002xx 

and 401 003xx were deemed to be solvent cleaning operations. 

The number of employees were obtained from Reference 16. In 1999, Illinois EPA 

adopted a regulation limiting the vapor pressure of solvents used in cold cleaning to two 

95 
millimeters of mercury. This was estimated to reduce VOM emissions by 33 percent. 

Emissions for the nonattainment townships were calculated using the percentage of the 

population for the applicable townships. In cases where the point source emission 

component was larger than the calculated area source component, a value of zero 

emissions was used for the area source component. 

Emissions were calculated using the following formula: 

E = EMP * EF /2000- PS 

Where E = emissions (tons/year) 

EMP = number of employees 

EF =emission factor from Table 4-80 (lb/employee/year) 

PS = point source emissions (tons/year) 

Table 4-80: Solvent Cleaning Emission Factors (lb VOM/employee/year)30 

Type of 

Industry 

SIC 37xx 

All others 

Emission 

Factor 

24 

87 

Table 4-81: Solvent Cleaning Emissions (tons/year) 

Countv VOM 

Cook 4,203.11 

DuPage 1 '108.37 

Grundy Twps 2.90 

Kane 491.51 

Kendall Twps 31.24 

Lake 609.00 

McHenry 307.58 

Will 250.82 

Chicago NAA 7,004.53 

Madison 317.74 

Monroe 3.93 

Randolph Twps 0.43 

St. Clair 100.57 

Metro-East NAA 422.67 

Attainment Area 3,733.51 

State Total 11,160.71 

96 

(4.25) 
4.3.24 Structure Fires 

Annual structural fire data for 2002 was obtained from the Illinois State Fire Marshall's 

Office31 _ Guidance and emission factors from the EIIP document for structure fires32 

was used to calculate emissions. The number of fires were apportioned to each county 

based on the number of structures in each county. 

Emissions were calculated using the following formula: 

E = FIRES* FL * EF /2000 

Where E =emissions (tons) 

FIRES= number of fires in a given period 

FL =fuel loading factor (1 .5 tons burned per fire) 32 

EF =emission factor from Table 4-82 (lb/ton burned) 

Table 4-82: Structure Fire Emission Factors (lb/ton material burned)32 

Pollutant 

co 

NOx 

PM10 

PM2.5 

VOM 

Emission 

Factor 

60 

1.4 

10.8 

9.8 

11 

Table 4-83: Structure Fire Emissions (tons/year) 

County co NOx PM10 PM2.5 

Cook 188.62 4.40 33.95 30.90 

DuPage 30.84 0.72 5.55 5.05 

Grundy Twps 0.22 0.01 0.04 0.04 

Kane 13.41 0.31 2.41 2.20 

Kendall Twps 1.01 0.03 0.18 0.17 

Lake 20.99 0.49 3.78 3.44 

McHenry 8.92 0.21 1.61 1.46 

Will 17.18 0.40 3.09 2.81 

Chicago NAA 281.20 6.56 50.61 46.06 

Madison 9.94 0.23 1.79 1.63 

Monroe 1.01 0.02 0.18 0.17 

Randolph Twps 0.04 0.00 0.01 0.01 

St. Clair 9.54 0.22 1.72 1.56 

Metro-East NAA 20.53 0.47 3.70 3.36 

Attainment Area 143.87 3.39 25.89 23.57 

State Total 445.60 10.42 80.20 72.99 

97 

VOM 

34.58 

5.65 

0.04 

2.46 

0.19 

3.85 

1.63 

3.15 

51.55 

1.82 

0.18 

0.01 

1.75 

3.76 

26.40 

81.70 

(4.26) 
4.3.25 Waste Water Treatment 

4.3.25.1 POTWs 

POTWs are facilities that treat waste water by physical, biological and occasionally 

chemical methods such that waste water can be discharged with minimal environmental 

harm. POTWs treat nearly all of an area's domestic sewage and often much industrial 

waste and storm sewer runoff as well. Although domestic and storm waste can contain 

minute amounts ofVOM, virtually all emissions come from VOMs present in the 

industrial waste portion of the POTW's influent stream. POTWs are generally designed 

so that waste water is treated biologically (activated sludge or other aerobic processes). 

It is assumed that most of the waste water VOM is emitted during these treatment 

processes, but some VOMs may be destroyed, hence not emitted, by the biological and 

chemical activity that occurs in the various POTW processes. 

A number of theoretical studies33-

37 of VOM emissions from POTWs have been 

conducted, but their conclusions tend to be inconsistent due to contradictory 

presumptions. The discrepancies occur because it is not generally known: 

• To what degree the flow in a POTW is "acclimated"; that is, to what degree the 

microorganisms responsible for the biodegradation of wastes in the flow are 

adapted to varying concentrations of various waste substances 

• Whether there was an accounting for "non-listed" VOM species in the waste 

water. Listed compounds are from the list of 126 common substances compiled 

by US EPA that are toxic to humans (and to most microorganisms) hence their 

wastewater concentrations, and not specifically non-listed compound 

concentrations, are monitored at POTWs. 

An important study the Illinois EPA has reference is the one conducted by Noll and 

DePaul35 . Its conclusions appear to address POTW VOM air emissions most accurately 

but only if a high degree of acclimation is assumed. The methods finally used by the 

Illinois EPA were developed after considering several different theoretical studies and 

one actual monitoring study. 

Emissions are calculated using Equation 4.27 derived from the NoH-DePaul data on the 

relationship between influent industrial flow and influent listed VOMs. Further 

background can be found in Reference 35. 

E := (1.1207 X MGD X %1ND/1 00 +2.1 0352) X 8.5774 X 0.00275 

Where E = emissions (tons/day) 

MGD = influent flow rate (million gallons per day) 

%1ND = percent industrial load 

98 

(4.27) 
Influent flow rates were obtained from discharge monitoring report data obtained from 

the Illinois EPA's Bureau of Water. The percent industrial load was assumed to be the 

same as the value used for the 1999 periodic inventory. Ammonia emissions were 

calculated using the same ratio of NH3 to VOM as existed in Reference 9. 

Table 4-84: POTW Emissions (tons/year) 

County NH3 VOM 

Cook 1,786.45 930.93 

DuPage 206.96 107.85 

GrundyTwps 0.00 0.00 

Kane 106.95 55.73 

Kendall Twps 38.90 20.27 

Lake 219.30 114.28 

McHenry 37.40 19.49 

Will 48.67 25.36 

Chicago NAA 2,444.63 1,273.91 

Madison 96.24 50.15 

Monroe 0.00 0.00 

Randolph Twps 0.00 0.00 

St. Clair 155.00 80.77 

Metro-East NAA 251.24 130.92 

Attainment Area 1,699.37 885.55 

State Total 4,395.24 2,290.38 

4.3.25.2 Industrial Waste Water Treatment Facilities 

Emissions from IWWTs were calculated using the same methodology as POTWs. In 

this case, the percent industrial load is assumed to be 100 percent. Only those facilities 

determined to have VOMs in their waste water were included in the calculations. 

Sources with influent flow rates less than 2 million gallons/day were summed per county 

and treated as a single flow. 

99 
Table 4-85: Industrial Waste Water Treatment Emissions (tons/year) 

County VOM 

Cook 157.64 

DuPage 33.47 

Grundy Twps 17.32 

Kane 21.17 

Kendall Twps 0.00 

Lake 35.51 

McHenry 49.78 

Will 216.33 

Chicago NAA 531.22 

Madison 183.37 

Monroe 0.00 

Randolph Twps 0.00 

St. Clair 34.05 

Metro-East NAA 217.42 

Attainment Area 1,876.85 

State Total 2,625.49 

4.3.26 Biogenic Emissions 

Biogenic emissions are those from flora such as trees, shrubs and crops. Emissions 

occur as the plant transpires, mostly during the daylight hours, and often in response to 

environmental stresses. Emissions also occur from microbial activity in soils, often due 

to the breakdown of fertilizer. 

To meet the requirements of the CERR, US EPA calculated biogenic emissions using 

BE IS 3.12. These emission estimates were made available to the states and are being 

used for this inventory. 

Table 4-86: Biogenic Emissions (tons/year) 

County co NOx VOM 

Cook 759.94 216.31 7,898.37 

DuPage 531.84 166.17 6,123.99 

Grundy Twps 100.88 64.23 513.67 

Kane 611.59 317.34 5,697.48 

Kendall Twps 71.88 40.99 457.22 

Lake 585.45 172.12 5,241.29 

McHenry 614.50 279.48 5,726.26 

Will 912.40 425.88 7,958.50 

Chicago NAA 4,188.48 1,682.52 39,616.78 

Madison 858.82 345.44 6,220.01 

Monroe 799.22 281.81 6,024.95 

Randolph 71.16 20.94 601.96 

St. Clair 788.31 307.83 5,648.84 

Metro-East NAA 2,517.51 956.02 18,495.76 

Attainment Area 72,753.63 36,134.27 471,419.82 

State Total 79,459.62 38,772.81 529,532.36 

100 
5 Mobile Sources 

A mobile source of air pollution is a self-propelled or portable emitter of air pollutants, 

and mobile source emissions are those generated by the engines or motors that power 

such sources. Most mobile sources, except jet or turboprop aircraft, are powered by 

internal combustion (I C) piston engines, and nearly all use liquid fuels. Gaseous fuels, 

such as compressed natural gas (CNG) or liquefied petroleum gas (LPG), had only a 

very small fraction, barely 0.1 percent, of the motor fuel market in Illinois in 2002. Solid 

fuels have not been used by mobile sources in significant amounts since railroads 

retired their coal-powered steam locomotives in the 1950s. 

5.0.1 Categories of Mobile Sources 

For inventory and planning purposes, mobile sources are divided into two major 

categories. 

1. On-highway mobile sources, i.e., motor vehicles such as cars, vans, trucks, 

buses and motorcycles used for transportation of goods and passengers on 

roads and streets 

2. Off-highway (usually referred to as non-road) mobile sources including: 

• Modes of powered transportation that do not use roads, such as aircraft, 

trains, ships and boats, and motor vehicles used off-road; and 

• Self-propelled or portable motorized machines or equipment not used for 

transportation, ranging from construction equipment and farm tractors to 

lawn mowers and hand-held power weed choppers. 

All on-highway mobile sources are self-propelled. Some nonroad mobile sources (e.g., 

farm tractors), are self-propelled, but many nonroad sources are not. A gasolinepowered chain saw is a familiar example of a non-self-propelled non road mobile source. 

Not all movable or portable emission sources are mobile sources, however. A small 

truck-portable cement or hot-mix asphalt plant, for example, may be set up near a 

construction or road-building site. Such plants are classified as stationary sources, not 

mobile sources for two reasons: (1) they may operate for weeks or months at a single 

location, and (2) the trucks that move the plants do not supply power for them. 

Not all IC or turbine engines are mobile sources. Fixed IC engines, such as those that 

power pipeline compressors or standby generators in electricity plants and elsewhere, 

are also classified as stationary sources. 

101 
5.0.2 Categories and Components of Mobile Source Emissions 

There are three categories of mobile source emissions: 

• Exhaust or tailpipe emissions, which result from the combustion of fuel in the 

source's engine 

• Evaporative emissions, which result from evaporation of fuel from the engine or 

its fuel system; and 

• Refueling emissions 

Exhaust emissions are the result of fuel combustion and occur only when the engine is 

running. 

Evaporative emissions are VOM only and are continuously emitted from an engine's 

fuel system, whether the engine is running or not. Gasoline is a very volatile fuel, so 

total VOM emissions from gasoline powered vehicles have a large evaporative 

component. Diesel and jet fuels are of very low volatility, so evaporative emissions from 

diesel and turbine engines are a much smaller part of their total VOM emissions. 

Evaporative emissions for CNG or LPG powered vehicles are negligible because their 

fuel tanks and systems are, of necessity, sealed. Evaporative and exhaust VOM 

emissions can be calculated separately for most mobile source categories, but in this 

inventory these two components are combined into total VOM. Evaporative emissions 

do not include VOM emissions that occur during refueling. 

Refueling emissions are a third category of mobile source emissions. Refueling 

emissions are entirely VOM. Although they result from the evaporation of fuel, they are 

distinct from, and not directly related to, evaporative emissions as defined above. 

Refueling emissions have two subcomponents: 

• Displacement emissions. The occur when new fuel is transferred into a partly 

filled tank (be it a service station storage tank, a portable fuel container or gas 

can, or a vehicle or engine's fuel tank), displacing the air in the tank and forcing 

that vapor-rich air out the inlet pipe or other vent. There are two stages of 

displacement emissions: 

o "Stage I" emissions occur when the underground storage tanks at a 

service station are being refilled; 

o "Stage II" emissions occur when a motor vehicle (or gas can) is being 

refueled. 

• Spill emissions. These occur when drops of fuel drip or splash on the ground 

during or after refueling and evaporate away. 

Refueling emissions from on-highway sources occur almost entirely at commercial or 

private service stations. For many years, service stations in the Chicago and MetroEast areas and certain other counties in Illinois have been required to have equipment 

that captures Stage I emissions and recycles them to the tank truck delivering the fuel. 

Stage II emissions can be controlled by devices at the pump ("Stage II vapor recovery" 

equipment) or on the vehicle ("on-board [vapor] recovery", OB[V]R) that capture and 

102 
recycle the displacement emissions before they are emitted to the air. Stage II vapor 

recovery equipment has been required at service stations in the Chicago area since the 

1980s. OBVR equipment is required by federal regulation on new light-duty vehicles: 

cars from model year 1998 on, and light trucks from model year 2001 on. 

Non-road sources also have refueling emissions. Some non-road sources, especially 

locomotives and many aircraft and boats, are refueled at fixed locations, the functional 

equivalents of motor vehicle service stations. However, many small non-highway 

sources (e.g., lawnmowers) are refueled where they are used from mobile or portable 

tanks or fuel containers. In this inventory, refueling emissions from non-road categories 

(except aircraft refueling) are not reported separately from exhaust and evaporative 

emissions, but rather are included in the reported overall non-road VOM emissions. 

Refueling emissions from motor vehicles are reported separately from exhaust and 

evaporative emissions, though not in this chapter. Stage I emissions from service 

stations and refueling, and Stage II emissions from motor vehicles, are both considered 

area source VOM emissions and are discussed in more detail in Chapter 4. Estimates 

of on-highway refueling emissions are given in Section 4.3.15 "Gasoline Marketing". 

Emissions from refueling of aircraft are in Section 4.3.2 "Aircraft Refueling". 

5.1 On-Highway Mobile Source Inventory 

The inventory of on-highway mobile source emissions contains Illinois EPA's estimates 

of the amounts of CO, NH3, NOx, PM1 0, PM2.5, S02 and VOM from highway vehicles 

statewide by county. The estimates given here are for on-highway sources do not 

include refueling emissions. These emissions are found in the Area Sources chapter. 

Exhaust and evaporative VOM emissions are combined in this inventory. Even though 

this inventory is an annual inventory, the description of the calculation methodology 

continues to include information on the calculation of daily emissions. Inputs into the 

MOBILE6 model for annual (calculating monthly emissions) are for the most part 

identical to the inputs for daily emissions. 

5.1.1 On-Highway Mobile Source Emissions Summary 

Table 5-1 is a summary of the on-highway mobile source emissions. Detailed tables of 

on-highway mobile source emissions are given in the appendices. 

103 
Table 5-1: On-Road Mobile Source Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 564,672.51 3,487.24 97,482.66 2,458.32 1,788.56 2,242.55 34,356.84 

DuPage 140,757.49 869.29 24,300.13 612.80 445.85 559.02 8,564.30 

Grundy Twps 2,582.88 14.45 410.16 10.18 7.41 9.29 158.03 

Kane 59,150.05 346.02 9,755.43 243.91 177.45 222.52 3,605.61 

Kendall Twps 2,977.74 18.00 504.58 12.69 9.23 11.58 181.80 

Lake 96,410.08 592.76 16,582.01 417.87 304.02 381.20 5,866.53 

McHenry 36,262.38 209.18 5,911.07 147.47 107.27 134.52 2,211.00 

Will 76,406.01 450.01 12,673.69 317.22 230.79 289.39 4,655.86 

Chicago NAA 979,219.14 5,986.95 167,619.73 4,220.42 3,070.58 3,850.04 59,599.97 

Madison 54,833.20 280.65 7,877.35 211.33 156.48 296.47 3,859.66 

Monroe 7,439.08 34.15 976.75 25.71 19.04 36.08 521.51 

Randolph Twps 136.65 0.55 16.31 0.42 0.31 0.59 10.19 

St. Clair 52,361.54 267.83 7,519.49 201.68 149.34 282.93 3,683.91 

Metro-East NAA 114,770.47 583.19 16,389.90 439.14 325.17 616.06 8,075.27 

Attainment Area 1,071,767.29 4,203.81 125,859.30 3,195.34 2,365.03 4,468.33 75,820.56 

State Total 2,165,756.89 10,773.96 309,868.93 7,854.90 5,760.78 8,934.43 143,495.81 

5.1.2 Inventory Guidance and References 

The following publications provide much of the guidance for the preparation of this onhighway inventory. 

• EPA-450/4-81-026d (Revised), now EPA/450-R-92-009, Procedures for Emission 

Inventory Preparation, Volume IV: Mobile Sources, December 1992. Hereafter 

"Procedures Vol. IV". The 1992 version is still the definitive document on 

inventories. If a previous edition is referred to, the fact will be noted as, for 

example, "the 1989 Procedures Vol. IV" or "Volume IV, 1989 edition". 

• EPA420-R-03-010, User's Guide to MOBILE6.1 and MOBILE6.2: Mobile Source 

Emission Factor Model, August 2003. This is the User's Guide for the official 

MOBILE6.2.03 on-highway mobile source emission factor model and will usually 

be referred to as the M6.2 (or simply M6) User's Guide (UG). Emission factors 

calculated by this model were used in this inventory as discussed in more detail 

below. User's Guides for previous versions of the MOBILE6 model were used 

during the preliminary work on this inventory. The M6 model in its various 

versions was developed and published by Assessment & Modeling Division 

(AMD) of the National Vehicle & Fuels Emissions Laboratory (NVFEL) in Ann 

Arbor, Michigan. The NVFEL is part of USEPA's Office of Transportation & Air 

Quality (OTAQ), formerly the Office of Mobile Sources (OMS). 

• Technical Guidance on the Use of MOBILE6 for Emission Inventory Preparation, 

August 2004. Hereafter the M6 "Technical Guidance [Document]" or "TGD". The 

TGD is the primary source of guidance on M6 inputs and an invaluable adjunct to 

the M6 User's Guide. 

104 
• USEPA document "Frequently Asked Questions on MOBILE6", 16 January 2002. 

Hereafter [M6] "FAQ". This document was published along with the M6 TGD. 

• USEPA memo, "Policy Guidance on the Use of MOBILE6 for SIP Development 

and Transportation Conformity", dated 18 January 2002, from John Seitz, 

Director of OAQPS, and Margo Oge, Director of OT AQ, to Regional Air Division 

Directors. 

• EPA420-R-03-001, MOBILE6.1 Particulate Emission Factor Model Technical 

Description: Final Report, January 2003, and EPA420-R-02-011, Draft Report 

Technical Description of MOBILE6.2 and Guidance for Its Use for Emission 

Inventory Preparation, February 2002. These documents outline how 

MOBILE6.1 and 6.2 calculate particulate and air taxies emission factors. 

• EPA-AA-AQA-94-1, User's Guide to MOBILE5 (Mobile Source Emission Factor 

Model), May 1994. This document covers both the MOBILE5a and MOBILE5b 

models and, although it is no longer a primary reference now that MOBILE5b has 

been superseded by MOBILE6, it still has useful information on mobile source 

emissions modeling. 

• EPA-454/R-07-004d, EIIP Volume IV: Mobile Sources: Preferred and Alternative 

Methods, July 1997. This is one of seven volumes of inventory guidance 

published by the Emission Inventory Improvement Program (EIIP). EIIP Vol. IV 

is composed of three chapters: 

o Chapter 1: "Preferred and Alternative Methods for Gathering and Locating 

Specific Emission Inventory Data", June 1996. This chapter includes 

instructions for estimating registration and mileage accumulation data, 

vehicle miles traveled (VMT), fuel consumption, etc., from 1/M program 

information. 

o Chapter 2: "Use of Locality-Specific Transportation Data for the 

Development of Mobile Source Emission Inventories", September 1997. 

This chapter includes instructions for estimating locality-specific MOBILE 

inputs and for estimating future VMT from transportation model output. 

o Chapter 3: "Guidance for Estimating Lawn & Garden Equipment Activity 

Levels", September 1997 

• Conformity Analysis Documentation Appendix B: Travel Demand Modeling for 

the Conformity Process in Northeastern Illinois" from the 2020 Regional 

Transportation Plan: Transportation Improvement Program for Northeastern 

Illinois: FY 1998-2002, published in November 1997 by the Chicago Area 

Transportation Study (CATS), the metropolitan planning organization (MPO) for 

the Chicago area, hereafter, CATS. This document contains much information 

on CATS's traffic modeling process and traffic in the Chicago area. 

105 
• Emissions Inventory Guidance for Implementation of Ozone and Particulate 

Matter National Ambient Air Quality Standards (NAAQS) and Regional Haze 

Regulations, Draft document published June 2003 by USEPA/OAQPS and 

abbreviated EIG. See also its predecessor of the same name, EPA-4541R-99-

006, April 1999. 

5.1.3 Basic Concepts of On-Highway Mobile Source Emission Inventories 

5.1.3.1 Vehicle Types 

Emissions are reported for eight vehicle types corresponding to the vehicle types for 

which the MOBILE emission factor model normally reports emission factors. The 

vehicle types are described in more detail in Table 5-2. 

Table 5-2: Inventory Vehicle Types in MOBILE6 

Inventory Corresponding 

Vehicle MOBILES 

Type Vehicle Type Description Vehicle Type 

LDGV Light-duty gasoline powered vehicles - passenger cars, LDGV 

including station wagons. Some small SUVs and vans 

are in this cateqorv. 

LDGT12 Light-duty gasoline powered trucks types 1 & 2 -small LDGT1 

trucks up to 6,000 lb GVW, consisting of M6 vehicle types 

LDGT1 (LVW < 3,750 lb) and LDGT2 (L\/W between 

3,750 and 6000 lb). Most pickups, small vans and SUVs 

are in this category. 

LDGT34 Light-duty gasoline powered trucks -larger trucks LDGT2 

between 6,000 and 8,500 lb GVW, consisting of M6 

vehicle types LDGT3 (ALVW < 5,750 lb) and LDGT4 

(ALVW > 5,750 lb). Typical of this category are delivery 

vans and large SUVs. 

HDGV Heavy-duty gasoline powered vehicles -larger vans, HDGV 

trucks and buses, GVW > 8,500 lb, consisting of eight M6 

HDGV weight classes (2b, 3, 4, 5, 6, 7, Sa and 8b) and 

gasoline buses (HDGB). 

LDDV Light-duty diesel powered vehicles- diesel passenger LDDV 

cars. 

106 
Table 5-2: Inventory Vehicle Types in MOBILES (continued) 

Inventory Corresponding 

Vehicle MOBILES 

Type Vehicle Type Description Vehicle Type 

LOOT Light-duty diesel powered trucks- diesel trucks up to LOOT 

8,500 lb GVW, including diesel pickups vans, delivery 

vehicles, etc. This small category consists of M6 vehicle 

types LOOT12 and LOOT34 (cf. the two LOGT types) 

defined the same as the corresponding gasoline truck 

types. 

HOOV Heavy-duty diesel vehicles - large diesel trucks and HOOV 

buses. GVW > 8,500 lb, including large trucks, tractortrailers and diesel buses, and consisting of eight M6 

HOOV weight classes (2b, 3, 4, 5, 6, 7, Sa and 8b, 

defined the same as the corresponding gasoline truck 

types) and two diesel bus types (HOOBT [transit buses] 

and HOOBS [school buses]). 

MC On-road motorcycles. All are gasoline powered. Off- MC 

road motorcycles are treated as recreational vehicles in 

the non-road category. 

Different types of vehicles have different emission characteristics. Larger and heavier 

vehicles emit more than smaller, lighter vehicles using the same fuel. Generally 

speaking, diesel vehicles also emit less CO and VOM but more NOx and particulate 

matter than their gasoline equivalents. 

5. 1. 3. 2 Classifications of Roads 

Public roads are classified according to their function in the highway system. The 

Federal Highway Administration's Highway Performance Monitoring System (HPMS), 

the most widely used classification, defines twelve functional classes (FCs) of roads as 

in Table 5-3. In this inventory, annual emissions are estimated for the total of each of 

the twelve HPMS functional classes for each vehicle type. 

107 
Table 5-3: HPMS Functional Classes of Roads and Their Codes 

Functional Class Abbreviation Code 

Rural Interstates R-lnt 01 

Rural Other Principal Arterials R-OPA 02 

Rural Minor Arterials R-MA 06 

Rural Major Collectors R-MaC 07 

Rural Minor Collectors R-MiC 08 

Rural Local Roads R-Lcl 09 

Urban Interstates U-lnt 11 

Urban Other Freeways and Expressways U-OFE 12 

Urban Other Principal Arterials U-OPA 14 

Urban Minor Arterials U-MA 16 

Urban Collectors U-C 17 

Urban Local Streets U-Lcl 19 

Different types of roads, or rather different driving cycles, the ways people drive on 

different types of roads, have different emission characteristics. A car driving ten miles 

on urban local streets, with frequent stops and starts at intersections, and low average 

speeds, emits more than when it drives the same distance at a steady moderate speed 

on a freeway without any stops. Moreover, a vehicle will have different emission 

characteristics on different road types even if the average speed is the same in both 

cases. 

MOB I LE6 is the first MOBILE model to take different driving cycles explicitly into 

account. M6 calculates emission factors for four facility types (FTs), freeway, arterials 

and connectors, local roads and streets, and freeway ramps corresponding to four 

driving cycles (DCs) whose emission characteristics are built into the model. The 

emission factor the model reports in its descriptive output is the weighted average of the 

individual emission factors for the four driving cycles, the weighting factors being the 

fractions of total VMT for each facility type. MOBILE6's default file FVMT.DEF, hourly 

fraction of VMT by the four facility types, has the standard weighting factors used for 

that purpose. The user can replace the FVMT file with an external VMT -by-FT file that 

reflects area-specific conditions. Illinois EPA has developed VMT-by-FT files for the 

Chicago and Metro-East areas in this inventory, using transportation modeling data 

supplied by CATS and EWGCC. The default VMT-by-FT file is used for areas outside 

the two NAAs. Illinois EPA has developed VMT-by-FT files that assign all the VMT to a 

single facility type. This is used to obtain emission factors for the individual facility 

types. 

MOBILE6's four facility types are matched to the twelve HPMS functional classes in 

Table 5-4 as in TGD Table 4.2.1, p. 29. See M6 TGD, §4.2.2 for a more detailed 

discussion of M6 facility types and driving cycles. 

108 
Table 5-4: MOBILE6 Facility Types or Driving Cycles 

MOBILES FT or DC FT or DC VMT in Terms of 

HPMS Functional Class VMT 

Freeways (freeways and 92 percent of the sum of VMT 

expressways) from R-lnt, U-lnt, R-OPA and 

U-OFE 

Arterials (arterials and Sum ofVMT from R-MA, Rcollectors) MaC, R-MiC, R-Lcl, U-OPA, UMA and U-C 

Locals (local roads and streets) VMT from U-Lcl 

Ramps (freeway ramps) 8 percent of the sum of VMT 

from R-lnt, U-lnt, R-OPA and 

U-OFE 

Freeway driving is characterized by speeds and few stops and takes place mostly on 

limited-access roads. Arterial driving is characterized by moderate speeds and 

occasional stops. Much in-town driving is of this sort. Local driving is characterized by 

slow average speeds and frequent stops and takes place chiefly on neighborhood 

streets and small rural roads. Ramp driving is characterized by rapid accelerations and 

decelerations as vehicles enter or leave high-speed traffic on freeways. 

Virtually all the traffic takes place on paved roads. Dirt roads are not common, even in 

rural areas and have very little traffic. 

5.1.3.3 Activity Factors and Emission Factors 

On-highway emissions for the vehicle types or categories are estimated in essentially 

the same way as point and area emissions are. For a given pollutant, emissions are 

given by the following equation. 

E = AF X EF X CF 

where: 

E = emission rate for that particular pollutant 

AF = activity factor 

EF = emission factor for that particular pollutant 

CF = conversion factor to obtain emissions in desired units 

(5.1) 

For motor vehicles, the activity factor can be expressed as output (e.g., distance 

traveled) or input (e.g., amount of fuel used) per unit time. The activity factor of choice 

for estimating on-highway exhaust and evaporative emissions is distance traveled, but 

the preferred activity factor for estimating on-highway refueling emissions is fuel 

consumption derived from data on fuel sales. The emission factor must be in units 

109 
corresponding to those of the activity factor (i.e., mass of pollutant per unit distance or 

fuel amount). In this inventory, the on-highway activity factor is typically daily VMT. 

Illinois EPA used the MOBILE6.2 model to estimate the on-highway emission factors for 

this inventory, as required by US EPA (67 FR 4254, 29 January 2002). The version of 

MOBILE6 used in this inventory is 6.2.03 (24 September 2004), which became the 

USEPA's official model (69 FR 28830, 19 May 2004) for estimating emissions of 

hydrocarbons, carbon monoxide, oxides of nitrogen, particulate matter and air taxies 

form highway vehicles on its formal release in February 2004. 

Equation 5.1 is simple, but the actual emission estimating process is more complex. An 

accurate emission inventory is not the result of multiplying a total area-wide VMT by 

some single average all-vehicle emission factor to obtain an emission value for a given 

pollutant. There are two reasons for this: 

• Emission factors generated, especially for CO and VOM, are very sensitive to 

vehicle speed and the relationship between speed and emission factor is not 

linear. 

• Different vehicle types have different emission characteristics and therefore 

different emission factors. 

Different road types have different average speeds. Thus, M6 emission rates for a 

vehicle type on freeways are different from those on local roads or streets. Roads of a 

given type also have different average speeds under different traffic conditions. Speeds 

are lower during rush-hour congestion than during free traffic flow at 4 AM. It is difficult, 

therefore, to estimate a priori a single speed that would be representative of all the 

traffic in a whole county or region for a whole day. However, reasonably accurate 

speed estimates can be made for various functional classes or for individual segments 

or "links" on a transportation model network. Emissions by functional class or by link 

can then be calculated and summed to obtain regional emissions. 

USEPA requires emissions to be reported separately for each of the eight vehicle types 

in Table 5-2. The shares of the total VMT generate by each vehicle type, VMT 

fractions, are used to calculate the VMT by vehicle type (VT) according to the formula: 

VMT VT =Total all-vehicle VMT x VMT FractionVT (5.2) 

The VMT for a vehicle type is multiplied by the emission rate for the vehicle type to give 

emissions for that vehicle type. The vehicle-type emissions are then summed to obtain 

total emissions for all vehicle types. 

Region-wide activity factors and emission factors must both be broken down into 

spatial, temporal and other components. Each activity factor is multiplied by its 

corresponding emission factor to get component emission estimates on at least a byvehicle-type basis. The process of breaking down activity factors and emission factors 

into components is called "disaggregation." The disaggregated emissions, calculated 

110 
from disaggregated components, are summed to get emissions on a county or regional 

basis. This is best expressed by rewriting Equation 5.1 as: 

lastC 

E = CF x L;CAFc x EFc) 

firstC 

Since the activity factor is the VMT from Equation 5.3, we can rewrite as: 

lastC 

Ea11 c = CFx L;(VMTcTotal x VMT Fractionc x EFc) 

firstC 

(5.3) 

(5.4) 

where the subscript C refers to the component(s) into which the activity factors (i.e., 

VMT and VMT fraction) and emission factors have been disaggregated, such as county 

or link of functional class of road, or even time of day. Since there are usually several 

components or levels of disaggregation, there may actually be several summations to 

be completed before the total emissions for the whole region or state is calculated. 

Representative region-wide VMT mixes are hard to estimate accurately, but reasonably 

accurate VMT mixes by functional class or even network link are often available, or can 

be made, from data supplied by transportation agencies. 

The VMT fractions used to calculate emissions in this inventory are shown in Table 5-5 

below. They are derived from lOOT vehicle count monitoring data collected during 

2002. The all-vehicle VMT mix in Table 5-5 is the most representative VMT mix for the 

State as a whole. The VMT fractions in Table 5-5 are closely related to, but are not the 

same as, the VMT fractions used as inputs to the MOBILE modeL See the MOBILE 

inputs section below for more information on VMT fractions used with the MOBILE 

modeL 

111 
Table 5-5: Statewide Average VMT Mixes 

HPMS HPMS Vehicle Type 

Code Functional Class (FC) LDGV LDGT12 LDGT34 HDGV LDDV LDDT HDDV MC 

01 Rural Interstate 0.3558 0.2342 0.0799 0.0968 0.0006 0.0013 0.2254 0.0060 

02 Rural OPA 0.4542 0.2989 0.1021 0.0408 0.0007 0.0016 0.0957 0.0060 

06 Rural Minor Art 0.4657 0.3065 0.1046 0.0337 0.0008 0.0017 0.0810 0.0060 

07 Rural Major Collectors 0.4779 0.3145 0.1074 0.0270 0.0008 0.0017 0.0647 0.0060 

08 Rural Minor Collectors 0.4993 0.3287 0.1121 0.0137 0.0008 0.0018 0.0376 0.0060 

09 Rural Local Roads 0.4886 0.3216 0.1099 0.0197 0.0007 0.0018 0.0517 0.0060 

11 Urban Interstate 0.4577 0.3013 0.1030 0.0385 0.0008 0.0016 0.0911 0.0060 

12 Urban OEF 0.4803 0.3161 0.1080 0.0258 0.0008 0.0017 0.0613 0.0060 

14 Urban OPA 0.4843 0.3187 0.1089 0.0230 0.0008 0.0017 0.0566 0.0060 

16 Urban Minor Arts 0.4879 0.3212 0.1097 0.0207 0.0008 0.0017 0.0520 0.0060 

17 Urban Collectors 0.4942 0.3253 0.1110 0.0180 0.0008 0.0018 0.0429 0.0060 

19 Urban Local Streets 0.5092 0.3351 0.1145 0.0092 0.0008 0.0018 0.0234 0.0060 

Overall VMT Mix 0.4676 0.3078 0.1051 0.0327 0.0008 0.0017 0.0783 0.0060 

Overall Rural VMT Mix 0.4330 0.2850 0.0973 0.0525 0.0007 0.0016 0.1239 0.0060 

Overall Urban VMT Mix 0.4819 0.3173 0.1083 0.0245 0.0008 0.0017 0.0595 0.0060 

Different combinations of emission control strategies (scenarios) will give rise to 

different emission factors. The difference in the emission factors for various scenarios 

is used to calculate the emission reductions arising from them. Illinois EPA estimates 

and reports emission reductions from its vehicle inspection and maintenance (1/M) 

program in this manner, by comparing emission factors for a no-liM scenario with those 

from an 1/M scenario. 

5.1.3.3 Vehicle Miles Traveled (VMT) 

As noted above, the activity factor used in this inventory is VMT. VMT in a region is the 

total number of miles driven by all the vehicles operating in the region over a given 

period of time. Statewide average daily VMT (ADVMT) in Illinois was about 291 million 

miles per day in 2002. 

5.1.3.3.1 /DOT VMT Estimates for the Emission Inventory 

The VMT estimates used to calculate emissions for this inventory are those made and 

published by the Office of Planning and Programming (OPP) of the Illinois Department 

of Transportation (lOOT). Illinois EPA uses lOOT's VMT data because those data are 

official, complete and very inclusive, easy to work with and of high quality. lOOT has 

general oversight of all transportation matters in Illinois. Other organizations that 

estimate VMT are CATS and the East-West Gateway Coordinating Council (EWGCC), 

the metropolitan [transportation] planning organizations (MPOs) for the Chicago and St. 

Louis areas respectively. 

112 
I DOT and the MPOs use complementary methods of estimating VMT. I DOT uses 

observed traffic county data as input to a program to estimate annual VMT by county 

and by functional class for the entire State. These estimates are the "Roadway File" 

VMT estimates for a given year and are the State's official published VMT estimates for 

that year. The Federal Highway Administration (FHWA) receives a subset of the 

Roadway File that meets the statistical requirements of the HPMS. CATS and EWGCC, 

on the other hand, use zone-based travel-demand transportation models to estimate 

VMT in their planning regions, and validate their estimated traffic against observed 

traffic counts. I DOT and the MPO's methods are described in more detail below. 

Despite their difference in methodologies, the estimates of VMT in their regions are 

close. The VMT estimates, made by different methods, thus act as checks on one 

another, ensuring the correctness of the emission estimates made from them. 

Illinois EPA requested, and received, from IDOT/OPP a copy of lOOT's 2002 Roadway 

File, plus VMT estimates by functional class for the nonattainment townships in Kendall 

and Grundy Counties. Illinois EPA also requested and received adjustment factors for 

converting ADVMT to Average Summer Weekday VMT (ASWVMT) or to monthly VMT, 

as required for the inventory. 

The MPO's transportation model output data, being link-based, are more spatially 

detailed than lOOT's Roadway File. I DOT's Roadway File data are based largely on 

actual observed 2002 transportation information and are calculated every year. This is 

not necessarily the case with the transportation model outputs. 

The VMT estimates submitted by lOOT to the FHWA under the HPMS are a subset of 

the Roadway File VMT estimates. The statewide Roadway File VMT is larger than the 

HPMS VMT, but only by about 0.12 percent. The two estimates are identical for all 

functional classes except rural local roads and urban local streets. The difference 

arises because roadway file VMT estimates cover all roads in the state, including some 

1600 miles of private local roads that HPMS VMT does not include; and lOOT uses all 

available reliable traffic count and other data, while HPMS, by its nature, uses a smaller 

sample. The difference between the Roadway File and the HPMS VMTs translates into 

less than a ton of NOx or VOM statewide. Illinois EPA uses lOOT's Roadway File data 

in preference to HPMS data in emission estimates because: 

• I DOT's Roadway File VMT data by county and nonattainment township are 

readily available to Illinois EPA in a convenient and usable form tailored to Illinois 

EPA's needs 

• lOOT's Roadway File VMT estimates are more comprehensive and hence 

slightly more conservative than HPMS data. lOOT's Roadway File VMT 

estimates are made from larger samples and so are internally more consistent 

and statistically more robust then HPMS VMT. 

• USEPA approved the use of I DOT Roadway File data when it approved Illinois 

EPA's 1990 Emission Inventory, in which lOOT data for 1990 were used in the 

estimation of on-highway emissions, along with the Transportation Model output 

113 
data from CATS and EWGCC. US EPA has also approved Illinois EPA's use of 

Roadway File data in subsequent inventories. 

Since lOOT supplies complete VMT data by county (or township) and functional class 

for the entire NAA and the entire state, there is no need for volume group tables or 

expansion factors such as would have been necessary had Illinois EPA been using 

HPMS data, and no such tables or factors have been included in this document Also, 

there is no need to estimate NAA VMT from HPMS data for the FHWA [Federal Aid] 

"Urbanized Area" which was usually much smaller than the NAA that it was part of. 

From lOOT's original 2002 Roadway File VMT data (annual VMT by county and 

functional class), Illinois EPA computed AOVMT for each county and for the three 

nonattainment townships by functional class. Those AOVMT estimates are summarized 

in Table 5-6. 

Table 5-6: Summary of AOVMT 

Area/County 2002 ADVMT 

Chicago NAA 

Cook 93,634,920 

DuPage 23,341,008 

Grundy NAA Twps 391,090 

Kane 9,290,976 

Kendall NAA Twp 538,859 

Lake 15,916,146 

McHenry 5,616,598 

Will 12,083,239 

Metro-East NAA 

Madison 7,601,343 

Monroe 925,001 

St. Clair 7,254,116 

Rest of Illinois 114,319,836 

State Total 290,912,439 

5.1.3.3.2 How /DOT Estimates VMT 

lOOT's VMT estimates for a given year are based on the latest traffic counts taken for 

each of the roadway segments. lOOT's traffic count procedures are documented in its 

"Illinois Traffic Monitoring Program" publication. The short-term (24-hour) coverage 

count is the primary source of traffic data for the Department's Traffic Monitoring 

Program. It is not possible to make traffic counts on every road every year, so counts 

are made at intervals or cycles at various locations for at least 24 (sometimes 48 or 

more) hours at a time. These cycles are different for different types of roads. 

114 
Some 5,000 to 6,000 counts are made on the Marked Route System (Interstates, and 

US and Illinois routes) every two years on the odd-number years (1999, 2001, 2003, 

etc.). I DOT receives annual traffic data from the Interstate freeways in the Chicago 

Area yearly from its Traffic System Center. The Illinois State Toll Highway Authority 

supplies similar data for the tollways. 

The Unmarked System (county highways, township roads, etc.) in each county is 

counted on a five year cycle, with approximately a fifth of the counties being counted 

each year. Some 15,000 to 20,000 counts are made each year on the Unmarked 

System. The county coverage counts make up the majority of the traffic counts made in 

the State. Counts made on Unmarked Routes for HPMS purposes are made on a 4-

year cycle. 

Since 2001, I DOT has been using magnetic lane counters to collect traffic volume and 

vehicle classification by length on the Marked Route System. Between 1999 and 2001, 

lOOT purchased over a thousand such counters. Counting marked routes with 

magnetic counters eliminates the need for separate surveys to determine heavy 

commercial and multiple-unit truck volumes. 

All the county-wide counts in I DOT District 1 (the six county Chicago area) are counted 

using the magnetic lane counters. In the rest of the state, the county-wide coverage 

count is a 24-hour count usually made with more conventional counters that use 

pneumatic tubes to count axles. These counts are adjusted by resources available. 

Further counts may be made on the local road system to better characterize local traffic 

as well. 

lOOT also receives local traffic count data collected by other sources, such as county 

and city traffic departments and MPOs. In each case, the counting procedures and the 

traffic count data undergo quality control reviews before the count data are accepted as 

valid and used in the VMT estimation process. 

Raw traffic data collected from actual counts are entered into a database and tables of 

seasonal adjustment factors based on information from continuous-count stations are 

used to adjust and round the counts to Average Daily Traffic. This information goes into 

lOOT's Illinois Roadway Information System (IRIS) database. After all counts for the 

year have been processed and entered into IRIS, the count database is used to 

calculate VMT. 

The 2002 VMT calculations used traffic counts made over the previous four or five 

years. Counts made in 2002 were used where available. Where there were no 2002 

counts, counts from 2001 or previous years were used after they were grown to 2002 

using growth factors specific to each functional class. Road segments without a count 

(primarily local functional classes) were assigned an ADT equal to the weighted 

average ADT within that county and functional class if there was 70 percent or more 

coverage in the county; otherwise a standard value was used. 

115 
All of the processing was done through a series of queries to the database. The result 

was a 2002 ADT, based on actual 2002 count, grown previous year count or estimated 

default count, for every road segment in Illinois. The daily VMT for a segment is then 

the product of the calculated ADT for the segment and the length of the segment in 

miles. For example, a corrected adjusted ADT of 18,100 vehicles per day on a section 

of road 1.47 miles long give a daily VMT of 26,607 vehicle miles traveled per day. The 

VMTs of all the segments are then summed into State and county totals and functional 

class as needed. 

IDOT does considerable edit checking, review and analysis of its VMT data. Illinois 

EPA's QA is limited to comparing the 2002 data with those from previous years and with 

similar data from FHWA to doubly ensure reasonableness and accuracy. I DOT 

provided the roadway file data to Illinois EPA in electronic form as a spreadsheet file. 

This eliminated the possibility of data entry errors. 

IDOT maintains a continuous count program consisting of automatic traffic recorders 

placed in permanent locations along the roadway, generally as electromagnetic loops 

buried in the pavement. Hourly traffic data are collected and retrieved from these sites 

throughout the year. Automatic traffic recorder data supplement the short-term count 

data mentioned above and also provide the statistical information the I DOT uses to 

develop traffic growth factors for converting previous year counts to current year counts 

and the various factors to convert short-term counts to ADT. The automatic traffic 

recorder data area also used to calculate profiles of traffic from hours to hour during the 

day, from day to day during the week and from month to month during the year. The 

adjustment factors thus calculated and used in the inventory are statewide in nature. 

There are presently, as of 2004, 85 sites in the automatic traffic recorder network. Of 

these sites, 49 have been in place since 1988 and 36 were installed in 1999. There are 

now 43 sites in the Chicago area, eight in the Metro-East area and 41 elsewhere in the 

state. 

ADT estimates in the Chicago area are made for interstates, non-local roads and local 

roads and streets. As described above, interstates, including tollways, are the subjects 

of detailed counting. The Chicago NAA has about 412 miles of interstate highway, 

including tollways, or just under 19 percent of the approximately 2,170 miles of 

interstate in the whole of Illinois. There are traffic counts with sufficient density to 

determine traffic on about 95 percent of the 6,580 miles of non-local roads in the 

Chicago NAA. The method used is essentially the same as that for other short-term 

counts. Traffic on the remaining five percent of roads in the second category is 

estimated in the same manner as that described below for local roads. I DOT expects 

accuracy of ±1 0 percent for the ADT estimates for individual sections of interstates and 

most non-local roads. This means that some estimated ADT volumes are higher than 

actual volumes and others are lower, but on aggregate, the high and low estimates 

offset one another and the resulting regionwide and statewide estimates have much 

lower uncertainty. 

116 
There are about 17,390 miles of local roads and local streets of the third category in the 

Chicago NAA. Most local streets are residential and are not generally modeled as links. 

Some counts are made on local roads and streets, but in most cases local traffic is 

estimated by using an average traffic density for local roads. These factors are areaspecific, being 1,083 daily VMT per mile for the Chicago Urbanized Area, for example. 

These factors were originally developed from randomly selected traffic counts a number 

of years ago, but like other traffic correction and estimation factors, they are periodically 

reviewed and have been revised upward in recent years. 

5.1.3.3.3 Adjusting VMT for Summer Weekday Conditions 

Illinois EPA uses I DOT's Roadway File VMT data in the form of Average Daily VMT, 

that is, reported Annual VMT divided by 365. Traffic counts at continuous count stations 

show overall traffic in Illinois is higher than average in summer and lower than average 

in the middle of winter. In accordance with Procedures Vol. IV. § 3.4.2.6 and § 

4.3.1.3.3, ADVMT data from I DOT were adjusted for seasonal variations in traffic by 

using adjustment factors by functional class from Table 5-7 below to get average 

summer weekday VMT (ASWVMT). 

These adjustment factors were calculated by I DOT from continuous count and other 

long term count data available to it, and for convenience are expressed here as 

percents. They are specific to Illinois, are applicable Statewide and are based on 2002-

2003 traffic count data. They are the factors that I DOT divides into traffic counts made 

during a given month in order to estimate ADT, hence the name "Seasonal Division 

Factors." Procedures Vol. IV, § 3.4.1.3.3 when discussing seasonal adjustments, 

makes reference to multiplicative factors used to adjust 24- and 48-hour traffic counts in 

various months to ADT; those factors are simply the reciprocals of those in Table 5-7. 

The seasonally adjusted VMT for a county is the sum of the products of county ADVMT 

by functional class and the appropriate adjustment factor for that functional class. For 

this inventory, a "typical summer weekday" VMT is desired, so the June, July and 

August factors are averaged. This June-July-August average is shown at the bottom of 

Table 5-7. 

The average (all functional class) summer weekday adjustment factor is determined by 

dividing the calculated total ASWVMT by its original ADVMT total. For the Chicago 

NAA, that factor is 1.096. The factor for the Metro-East NAA is 1.092 and 1.086 for the 

attainment counties. The statewide average is 1.092. These are slightly higher than 

the factors used in the past, based on late-1990s traffic data. 

117 
Table 5-7: Weekday Seasonal Division Factors for Application to Weekday 

(Monday- Thursday) Traffic Counts 

Month Other Other 

Rural Rural Urban Urban 

Interstates Functional Interstates Functional 

Classes Classes 

January 0.83 0.85 0.93 0.95 

February 0.87 0.92 0.99 1.01 

March 0.94 0.98 1.02 1.06 

April 0.97 1.03 1.03 1.10 

May 1.00 1.03 1.04 1.12 

June 1.06 1.04 1.07 1.12 

July 1.08 1.09 1.07 1.11 

August 1.08 1.11 1.08 1.09 

September 1.00 1.06 1.04 1.08 

October 0.99 1.08 1.05 1.07 

November 0.99 1.03 1.04 1.04 

December 0.93 0.97 0.99 1.04 

June-July-August 1.073 1.08 1.073 1.107 

Average 

I DOT has similar factors for estimating monthly VMT from ADVMT. These factors were 

used to estimate VMT by month and the VMT-by-month data were used to estimate 

annual emissions of the various pollutants. The monthly factors, shown in Table 5-8 are 

applicable statewide and are specific to Illinois. Previous versions of the seasonal 

adjustment factors, covering earlier three-year periods are very similar to those given 

above. Detailed tables of Illinois VMT is in Appendix G. 

All these tables contain subtotals for the NAAs and attainment counties. The ADVMT 

and ASWVMT tables have VMT totals by county and by MOBILE6 facility type fractions. 

The statewide M6 facility type fractions are close to MOBILE6's default fractions, but the 

facility type fraction for individual counties vary widely. Half a dozen very rural counties, 

for example, have no freeway VMT, but 14 other rural counties through which 

interstates pass have freeway fractions over 50 percent because the bulk of their VMT 

is from traffic passing through the county on the interstate. Three of those counties 

have freeway fractions over 60 percent. 

118 
Table 5-8: Monthly Factors to Convert ADVMT to Total Monthly VMT 

Rural Urban 

Month Interstates Other FCs Interstates Other FCs 

January 26.514 26.902 28.495 28.387 

February 24.850 24.844 26.802 26.160 

March 29.717 29.323 30.377 30.206 

April 29.661 30.069 29.877 30.972 

May 31.849 31.673 31.158 32.159 

June 32.469 31.944 31.296 32.028 

July 33.923 32.894 32.004 31.614 

August 34.444 33.930 32.965 32.132 

September 30.828 31.497 30.498 30.747 

October 31.236 31.543 31.518 30.696 

November 29.796 30.144 30.138 29.316 

December 29.704 30.234 29.878 30.588 

Annual 364.991 364.997 365.006 365.005 

June-August 100.836 98.768 96.265 95.774 

5.1.3.3.4 Emission Factors 

On-highway emission factors from the descriptive output of the MOBILE6.2 model are 

used in this inventory, in accordance with USEPA's requirements. MOBILE6.2 is the 

most recent approved model in the series of MOBILE emission factor models developed 

by USEPA's Office ofTransportation & Air Quality (OTAQ). Illinois EPA uses the 

MOBILE 6.2.03 version which gives emission factors for CO, NOx, particulates, 

particulate precursors (802 and NH3) and VOM. MOBILE6.2 can also calculate 

emission factors for certain air taxies. That capability was not used in this inventory. 

5.1.3.3.5 MOBILE6 Inputs for Inventory 

Every MOBILE6 input file must have at least seven commands: MOBILE6 INPUT 

FILE to start it, END OF RUN to end it, RUN DATA and SCENARIO RECORD to control it, 

and three parameters. The parameters are temperature (MIN /MAX TEMPERATURE), 

gasoline volatility (FUEL RVP) and CALENDAR YEAR of evaluation. Vehicle speed is 

not a required input to MOBILES. There are, however, many options available to make 

an input file (and hence the output) more representative of specific areas and 

conditions, or to take into account various control programs, or to obtain output in 

greater or lesser detail. 

119 
Table 5-9: MOBILES.2 Inputs Used in this Inventory to Evaluate Summer Weekday 

Emission Factors 

Input Input Value or Short Description 

Evaluation Month & Calendar July 2002 

Year 

Maximum and Minimum Chicago & Northern Illinois- 84° F and S4° F 

Temperatures Metro-East & Southern Illinois- 89° F and 71° F 

Absolute Humidity Chicago & Northern Illinois - 97 gr/lb 

Metro-East and Southern Illinois - 108 gr/lb 

Chicago NAA- "Northern" Reformulated Gasoline 

Downstate- Ordinary gasoline (not RFG), RVP - 8.1 

Fuel Inputs psi, 30 percent gasohol 

Metro-East- Ordinary gasoline (not RFG), RVP = 7.2 

psi, 30 percent Qasohol 

Refueling Emission Factors No. See below. 

Speed See Activity Inputs below 

Program is centralized (i.e., at State testing stations), 

and test-only (no repairs done). Vehicles are tested 

every two years. The engine test consists of (a) an 

idle test for old (Model Year 19S8- 1980) cars & light 

1/M Program for light- and trucks; (b) an IM240 test for newer (Model Year 1981-

heavy-duty gasoline vehicles 1995) cars & light trucks, with cutpoints as in external 

in Chicago and Metro-East 1/M file MYCUTS.D; (c) Exhaust & Evaporative OBD (onareas board diagnostics) test for newest (Model Year 199S 

and later) cars & light trucks; (d) an idle test for Model 

Year 19S8 and newer heavy-duty vehicles; and (e) a 

gas cap check for all vehicles. There is a 4-year notest grace period for new vehicles. 

The two NAAs- area-specific registration distributions 

Registration Distribution based on data from Illinois EPA's Division of Mobile 

Sources 

Downstate outside the NAAs- MOBILES default 

Chicago NAA- Chicago area specific VMT mix 

VMT Fraction (VMT Mix) derived from data supplied by CATS 

Downstate including Metro-East NAA- Illinois specific 

all functional class VMT mix 

Chicago and Metro-East NAAs - area specific activity 

Activity Inputs: VMT by input files derived from transportation model output 

functional class, hour and data supplied by CATS and EWGCC 

speed Downstate and outside the NAAs- MS default activity 

input files (FVMT.D, HVMT.D and SVMT.D) 

Diesel Sulfur 375 ppm 

Particle Size 10 micrometers and 2.5 micrometers 

Particulate Emission Factor Those supplied with MOBILES. 

Input Files 

120 
Table 5-9 is a digest of the significant inputs for the MOBILE6.2 model, used when 

evaluating summer weekday (daily) emissions. 

5.1.3.3.6 Refueling Inputs 

M6 runs to calculate refueling emission factors use the same inputs for fuel volatility, 

presence of RFG or oxygenates, etc. as for other inventory runs, but the temperature 

inputs are different. A summary of the inputs for refueling emission factors are given in 

Table 5-10. 

Table 5-10: Specialized MOBILE6 Inputs for Summer Weekday Refueling 

Emission Factors 

Input Input Value 

Start Year- 1992 

Stage II Inputs Phase-in - 3 years 

(Chicago NAA only) Efficiency for LDVs and LOTs- 84 percent 

Efficiency for H DVs - 84 percent 

All other inputs Same as those for "no refueling" inventory case given above 

As noted in § 5.0.3 above, service stations in the Chicago NAA are required to have 

Stage II vapor recovery equipment on their gasoline pumps. The Stage II inputs in 

Table 5-10 are specific to the Chicago NAA and appear following the STAGE II 

REFUELING command in the Run section of an input file for a Chicago NAA refueling 

run only. 

5.1.4 Calculation of Daily Emissions 

A spreadsheet was used to calculate emissions for this inventory. The process is as 

follows. 

• Create a multi-page spreadsheet file. The name for this example is named 

ONHWY02. 

• Enter a table of ADVMT by county (vertically) and by functional class 

(horizontally) derived from I DOT's Roadway File into the first page of ONHWY02. 

Include ADVMT totals for the attainment and nonattainment townships of Kendall 

and Grundy Counties for use in calculations pertaining to the Chicago NAA. 

• Using seasonal adjustment factors as described in § 5.1.3.1, compute a table of 

ASWVMT in the same form as the ADVMT table on a new page of ONHWY02. 

Give each of the rows of VMT information a range name. 

121 
• Place the table of VMT mixes by vehicle type (vertically) and functional class 

(horizontally) on the third page. Each of the rows of VMT mixes was named for 

its vehicle type. 

• Run the MOBILE6.2 model using the inputs described above for six scenarios: 

1. Chicago inputs, assuming RFG and no 1/M program 

2. Chicago inputs, assuming RFG and the 1/M program described above 

3. Northern half of Illinois outside Chicago, assuming Chicago temperature 

inputs, but no RFG (only ordinary gasoline and 30 percent gasohol) and 

no 1/M program 

4. Southern half of Illinois outside the Metro-East area, assuming St. Louis 

temperature inputs, no RFG, 30 percent gasohol and no 1/M 

5. Metro-East inputs, assuming St. Louis temperatures, low volatility 

gasoline, 30 percent gasohol and no 1/M 

6. Metro-East inputs as above, but with 1/M as above 

Set the inputs to run each scenario five times, once with a representative VMT by 

facility type external file, and once each with a VMT by facility file that attributed 

all VMT to freeways, to arterials, to local roads and to ramps, respectively. The 

resulting outputs for the facility type specific runs were therefore the emission 

factors for the freeway, arterial, local and ramp facility types respectively. In this 

way, emission factors for CO, NOx and VOM were obtained for each scenario 

and all facility types. 

• Enter the emission factors by vehicle type into new pages (one for each facility 

type) of the spreadsheet by vehicle type (vertically) and functional class 

(horizontally) for each of the pollutants. The 1/M emission factors for the Chicago 

and Metro-East areas are entered into their respective pages in the same form 

as the no-1/M factors, and the "1/M Credit" emission factors are calculated by 

subtracting the 1/M factors for the corresponding no-1/M factors. These factors 

are calculated to the right of the no-1/M emission factor table. 

• Set up a table of emissions by pollutant for a given county by functional class 

(horizontally) and vehicle type (vertically) on a new page that matches the 

emission factor table form. Emission are then calculated using Equation 5.4. For 

this example, assume the calculation is for Adams County, rural interstates as 

the functional class, LDGV as the vehicle type and VOM as the pollutant. 

Emissions are calculated by taking the ASWVMT for rural interstates for Adams 

County times the LDGV VMT fraction for rural interstates times the LDGV VOM 

emission factor for rural interstates. In this case, the emissions are: 

130,915 miles/day X 0.3558 X 1.432 g/mile X 1.1 02X1 o-B g/ton = 0.07 tons/day 

• Repeat the above step for each of the vehicle types and functional classes in the 

county and sum the results to get county total VOM by vehicle type and 

functional class. 

122 
• Repeat the above step for the other pollutants of interest in the county. At the 

end of this step, the calculation of the county's emissions by functional class and 

vehicle type for all pollutants is complete. 

• Repeat the previous three steps for the remaining 101 counties. 

Calculations for the NAA counties are a little more involved, but are made in similar 

fashion to those above. All or part of every county in an Illinois NAA is in an 1/M area. 

Each county that is entirely within a NAA has three spreadsheet pages: a no-1/M 

emissions page, an 1/M credits page and a Net Emissions page. The No-1/M and 1/m 

Credit pages for the NAA counties are calculated as describe above. Net emissions are 

simply the no-1/M emissions minus the 1/M credits. 

With very few exceptions, gasoline vehicles registered at addresses within areas 

covered by 1/M in the Chicago and Metro-East NAAs are subject to 1/M. The VMT 

fractions for Cook, DuPage and Lake Counties are large, well over 90 percent, because 

the 1/M area entirely covers those counties and all gasoline vehicles registered in them 

are subject to 1/M. Those fractions are not quite 100 percent because there is a certain 

amount of traffic in the counties from gasoline vehicles registered outside the 1/M area 

and therefore not subject to 1/M. Other counties are not entirely within the 1/M coverage 

area, so more VMT in those counties comes from vehicles not subject to 1/M and their 

1/M fractions are smaller. 

Table 5-11 gives the 1/M fractions that Illinois EPA uses when calculating 1/M credits. 

These 1/M fractions were estimated by Illinois EPA based on information from VIM and 

(for the Chicago NAA) transportation model output from CATS, and are the same 

fractions used in the approved 1999 inventory. Since the 1/M area has not changed in 

area since these fractions were calculated, they have not changed significantly. 

123 
Table 5-11: liM Fraction for Illinois Counties 

County 1/M 

Fraction 

Chicago NAA 

Cook 0.98 

DuPage 0.98 

Grundy NAA Twps 0.25 

Kane 0.60 

Kendall NAA Twp 0.81 

Lake 0.95 

McHenry 0.50 

Will 0.65 

Metro-East NAA 

Madison 0.90 

Monroe 0.20 

Randolph 0.00 

St. Clair 0.90 

Downstate (all other counties and 0.00 

attainment townships for Grundy 

and Kendall) 

5.1.5 Calculation of Annual Emissions 

USEPA recommends that annual emissions be calculated as the sum of 12 monthly 

emissions (using representative monthly emission factors and VMT). To accomplish 

this, Illinois EPA used a spreadsheet similar in form and format to the one used to 

calculate summer weekday emissions. The process steps employed are very similar to 

those for daily emissions. 

The first step is to estimate VMT for each month of the year by multiplying the ADVMT 

totals for each county by the number of days in the month. The second step is to obtain 

emission factors representative of each month. To do this, the MOBILE6.2 model was 

run twelve times, once for each month of the year, for each of the four areas of the state 

(Chicago, Downstate North, Downstate South and Metro-East), using average monthly 

temperature and fuel inputs. All Facility Type emission factors were calculated 

assuming the default distribution of VMT among facility types. This is a reasonable 

assumption since the statewide facility type fractions are quite close to the MOBILE6 

default fractions. 

124 
Table 5-12: Statewide Facility Type Fractions 

Facility Actual Statewide MOBILES 

Type VMT Fraction DefaultVMT 

(%) Fraction(%) 

Freeway 31 34 

Arterial 54 50 

Local 12 13 

Ramp 3 3 

The MOBILE input for evaluation month and calendar year for each monthly run was set 

to either January 2002 (January- March), July 2002 (April- September) or January 

2003 (October- December). US EPA recommends output from those inputs be used as 

is for the monthly emission factors without interpolation. Annual emissions calculated 

this way are quite accurate because the small errors in the individual monthly emission 

factors caused by not interpolating will offset one another over the twelve months. 

The third step is to multiply the monthly VMT by the monthly all-vehicle emission factors 

to give monthly emissions and then sum those to obtain annual emissions. Monthly and 

annual 1/M Credits are calculated in the same manner. 

5.2 Off-Highway Mobile Source Emissions 

This section of the 2002 inventory covers motorized modes of transportation that do not 

use roads and self-propelled or portable motorized machines or equipment not used for 

transportation. 

5.2.1 Estimating Off-Highway Emissions 

Off-highway emissions are estimated in the same way as on-highway emissions, 

namely by multiplying together an activity factor, an emission factor and a conversion 

factor. The factors for on-highway emissions are straightforward- VMT and MOBILE 

emission factors- and relatively easy to obtain in considerable detail. For non-road 

sources, surrogate data must often be used to estimate off-highway emissions. Those 

emissions must be apportioned to states, counties or NAAs in a reasonable fashion. 

The methods used to estimate emissions are discussed in the following sections. 

125 
5.2.2 Off-Highway Modes of Transportation 

Off-highway modes of transportation include trains (i.e., locomotives), aircraft, ships and 

boats, and motor vehicles used off-road. Several factors make off-highway emissions 

important in Illinois. Illinois is at the heart of commercial aviation and the railroad 

network in the United States and much of the waterborne commerce originates in or 

passes through Illinois waters. In particular, the Chicago and the St. Louis area are 

both major centers of air and rail traffic. O'Hare Airport in Chicago is the busiest in the 

world. Waterborne commerce on the Illinois and Mississippi Rivers and on Lake 

Michigan is considerable, and the state is well supplied with rivers and lakes where 

much recreational boating takes place. 

5.2.2.1 Railroad Locomotives 

Rail traffic in Illinois is powered almost entirely by diesel locomotives. Most rail traffic in 

Illinois is freight, but there are several major Amtrak passenger routes in Illinois and an 

extensive diesel-powered commuter rail network (METRA) centered on Chicago. The 

major (Class I) railroads- Burlington Northern, Santa Fe, Canadian National, Canadian 

Pacific, CSX, Kansas City Southern, Norfolk Southern and Union Pacific- all operate in 

Illinois, and most rail traffic is on their routes. There are also nearly 40 regional and 

short lines in the state. Most of these smaller railroads are very small - a few miles of 

track and an engine or two - but some have several hundred miles of track in the state 

and transport millions of tons of freight. Methods of estimating an apportioning 

locomotive emissions are discussed at some length in Procedures Vol. IV§ 6.0. Using 

these and related methods, and under contract with LADCO on behalf of the Midwest 

states, the consulting firm Environ made estimates of locomotive emissions in 2002 for 

Illinois by county. Those estimates are given in Table 5-13. 

Table 5-13: Railroad Locomotive Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 2,001.17 8.21 18,396.40 499.95 459.96 1,181.84 820.63 

DuPage 423.28 1.81 3,848.66 106.36 97.85 261.20 163.18 

Grundy Twps 5.67 0.02 51.36 1.43 1.31 3.47 2.21 

Kane 159.65 0.69 1,441.46 40.19 36.98 99.95 60.22 

Kendall Twps 4.56 0.02 41.23 1.15 1.06 2.87 1.72 

Lake 78.83 0.34 712.43 19.82 18.23 48.89 30.16 

McHenry 52.35 0.23 471.41 13.17 12.12 32.65 19.85 

Will 558.95 2.41 2,028.85 140.60 129.36 347.66 212.95 

Chicago NAA 3,284.45 13.73 29,991.82 822.68 756.86 1,978.53 1,310.91 

Madison 7.97 0.03 78.20 2.01 1.84 5.01 3.00 

Monroe 108.71 0.47 973.87 27.38 25.19 68.25 40.83 

Randolph Twps 13.51 0.06 121.12 3.40 3.13 8.43 5.12 

St. Clair 9.81 0.04 88.52 2.45 2.26 5.85 3.97 

Metro-East NAA 140.00 0.61 1,261.72 35.24 32.42 87.54 52.92 

Attainment Area 4,964.72 21.10 44,922.89 1,246.38 1,146.68 3,041.87 .1,934.21 

State Total 8,389.16 35.44 76,176.43 2,104.30 1,935.97 5,107.94 3,298.04 

126 
5.2.2.2 Emissions from Aircraft Operations 

Powered aircraft emit exhaust and evaporative pollutants form their engines like other 

mobile sources. This inventory is concerned with the emissions occurring when aircraft 

are on or near the ground, i.e., within about 3,000 feet of the ground, that being the 

average summer morning mixing height of the atmosphere over Illinois (see 

"Procedures Vol. IV", § 5.2.2, pp 145-149), Emissions which take place above 3,000 

feet or at cruising altitude are not, in general, found to contribute to the formation of 

ozone at ground level and so do not form part of this inventory. 

5.2.2.2.1 Summary of Aircraft Emissions in Illinois 

Emissions from aircraft operations in Illinois are given below in Table 5-14. The 

estimates do not include emissions from auxiliary power units (APUs) on aircraft at 

Midway and O'Hare Airports in Chicago. APU emissions are identified in Table 5-17. 

Table 5-14: Aircraft Emissions (tons/year) 

County co NOx PM10 PM2.5 502 VOM 

Cook 8,750.17 9,496.89 317.86 310.23 638.47 1,300.16 

DuPage 816.03 9.03 14.92 14.56 0.62 35.66 

Grundy Twps 0.00 0.00 0.00 0.00 0.00 0.00 

Kane 439.75 5.85 7.98 7.79 0.33 19.09 

Kendall Twps 0.00 0.00 0.00 0.00 0.00 0.00 

Lake 445.12 7.31 8.13 7.94 0.33 22.41 

McHenry 318.50 2.45 5.80 5.66 0.25 11.89 

Will 793.00 6.11 14.44 14.09 0.61 29.59 

Chicago NAA 11,562.57 9,527.64 369.12 360.27 640.61 1,418.80 

Madison 357.50 12.52 6.42 6.26 0.28 23.36 

Monroe 39.00 0.30 0.71 0.69 0.03 1.46 

Randolph Twps 865.33 78.89 14.98 14.63 0.56 107.05 

St. Clair 865.33 78.89 14.98 14.63 0.56 107.05 

Metro-East NAA 1,261.83 91.71 22.11 21.58 0.87 131.87 

Attainment Area 6,520.96 326.15 123.51 120.56 16.56 432.10 

State Total 19,345.36 9,945.50 514.75 502.41 658.04 1,982.77 

5.2.2.2.2 Calculation of Aircraft Emissions 

Aircraft activity at an airport is normally expressed either as the number of aircraft 

operations ("ops") or as the number of L TOs. An aircraft operation is a movement of an 

aircraft under its own power at the airfield, i.e., a landing or takeoff (with any necessary 

taxiing) or a missed approach. An L TO is a land and takeoff, thus the number of L TOs 

is, for all practical purposes, half the number of operations. 

Emissions from an aircraft is the product of the source activity (ops or L TOs) and the 

emission factor which is normally expressed in pounds per L TO for that aircraft as 

shown in Equation 5.5. 

127 
E = OPS X EF I 4000 = L TO X EF I 2000 

where: 

E =emissions 

OPS = operations 

EF = emission factor 

L TO = landings and takeoff operation 

(5.5) 

The total emissions at an airport is the sum of the emissions for all the aircraft types 

using the airport, each of which would have different operations and emission factors. 

5.2.2.2.3 Aircraft Engines and Modes 

There are two basic types of aircraft engines: 

• Turbine, turboprop or turbojet, engines which power virtually all military and 

commercial and many business aircraft. These use jet fuel, a kerosene blend of 

low volatility 

• Piston engines which power most small general aviation aircraft, private planes, 

and some business aircraft. These use a special high-octane aviation gasoline. 

Those engines operate chiefly in five modes: 

• Taxi/Idle: at very low power when idling or during taxiing before taking off or after 

landing 

• Takeoff: at full power during takeoff until the aircraft is about 500 feet above the 

ground 

• Climbout: at slightly reduced power during which the aircraft climbs to its cruising 

altitude 

• Cruise: at further reduced power level at cruise where the aircraft maintains a 

constant speed and altitude 

• Approach: at a moderate to low power level during descent and the approach to 

landing 

Emission factors for aircraft are usually expressed as mass of pollutant per L TO, and 

are derived from measurements made by engine manufacturers. The emission factor 

for a given aircraft is a function of the make and model of the aircraft and its engine(s), 

the number of engines on the aircraft, the fuel flow rate for each mode and the time the 

aircraft spends in each mode. 

128 
5.2.2.2.2 Airports in Illinois 

This inventory deals with aircraft emissions at Public Use Airports (PUAs) and military 

airfields in Illinois, particularly those in the Chicago and Metro-East ozone NAAs. PUAs 

are privately or publicly owned airfields that are registered with the state as being open 

to the flying public. Almost all the approximately 6,500 general aviation aircraft 

registered in Illinois are based at one or another of the approximately 115 PUAs located 

in 75 of the state's 102 counties. There are 19 PUAs in the Chicago NAA and seven 

PUAs in the Metro-East NAA. Much data on PUAs, including the number and types of 

based aircraft and the number of operations per year, may be found in the annual lOOT 

publication Illinois Airport Inventory Report. Illinois EPA used the 2003 edition, which 

contains data through 2002, in the preparation of this inventory. Number of operations 

for each airport is included in Appendix G. 

Military airfields are owned by the government but are reserved for military operations. 

In general, they are not open for public use. There is presently one military airfield in 

Illinois, Scott Air Force Base near Belleville in the Metro-East NAA. The only other 

military airfield of importance in Illinois, Glenview Naval Air Station in the Chicago NAA, 

was closed in the early 1990s. In addition, US Air Force Reserve and the Illinois Air 

National Guard units based at the municipal airports in Springfield and Peoria fly F-16 

jet fighters and C-130E turboprop transports. Those aircraft have been taken into 

account in the emission calculations for those airports. Military aircraft occasionally land 

or practice instrument landings at civilian airfields other than where they are based. 

The total nurnber of fixed-wing military aircraft based in Illinois is under 100. Detailed 

information about operations at Scott AFB was obtained from the base's environmental 

office. Scott AFB is presently (2002) home to an airlift wing flying C-9 and C-21 

transports and an air refueling wing flying KC-135 jet tankers. The refueling wing was 

forrnerly based at O'Hare Airport in Chicago and moved to Scott AFB in the autumn of 

1999. 

According to I DOT's Bureau of Aeronautics, there are many small private airstrips and 

restricted landing areas scattered around the state. Approximately four dozen are in the 

Chicago NAA and a dozen or so are in the Metro-East NAA. These airstrips are not 

PUAs in that they are not open to the flying public. Operations data are not, in general, 

available for these private airstrips, but few have more than a handful of operations a 

month involving small piston engine aircraft. Emissions from operations at these 

airstrips and restricted landing areas are negligible. Henceforward in this document, 

"airport" will mean "public use airport." . 

The Federal Aviation Administration (FAA) recognizes four categories of aircraft 

operations, namely: 

• Air Carrier or Commercial operations: those for large aircraft capable of carrying 

more than 60 passengers or 18,000 pounds cargo, i.e., scheduled major airline 

operations 

129 
• Air Taxi operations: those in smaller aircraft than air carried, i.e., small-scale 

passenger operations 

• General Aviation: all other non-military aircraft operations including private, 

business and civilian government operations 

• Military: all operations by military aircraft 

The FAA collects and publishes statistics on these categories for many airports 

nationwide. Large commercial airports usually have detailed information on aircraft 

operations by various aircraft makes and models and sometimes even engine types. 

Some information of this sort for domestic commercial activity in Illinois appears in the 

annual FAA publication Airport Activity Statistics of Certificated Route Air Carriers 

(Airport Activity Statistics) for 2002. It is possible then, to estimate commercial and/or 

air taxi aircraft emissions from airports in considerable detail. 

Most other airports have less detailed operations information. Civilian airports with 

control towers have accurate counts of operations by category of traffic. These counts 

are published annually by the FAA. Counts by month and by category from 1989 

through 2002 are available on the internet at the website of the FAA Office of Aviation 

Policy & Planning (http://api.hq.afaa.gov/apo_home.htm). Illinois EPA downloaded the 

2002 FAA data for the 18 Illinois airports with towers. General aviation airports without 

towers or commercial service generally have only rough counts or estimates of annual 

aircraft operations, but emissions at such airports are small in any case. 

5.2.2.2.3 Estimating Emissions from Aircraft Operations 

The method that Illinois EPA used to estimate emissions for O'Hare and Midway 

Airports is based on the procedures outlined in Procedures Volume IV, 5.1 in which 

Equation 5.5 is applied on a by-aircraft basis. The Chicago Department of Aviation 

(CDoA) owns and operates Midway and O'Hare Airports. The CDoA, through its 

consultant, Landrum & Brown (L&B), provided Illinois EPA with the number of 

operations at the two airports by aircraft make and model, representative of a summer 

weekday in 2002. The number of ops are often not whole numbers because they are 

not specific to one particular day, but represent more or less the total number of 

weekday operations in June, July and August of 2002, divided by the number of 

weekdays, 65, in those three months. The CDoA data were ideally suitable for the 

purpose of this inventory and were used without modification after quality assurance 

checks. Since O'Hare, and to a lesser extent Midway, have nearly constant traffic from 

month to month throughout the year as shown by FAA operations data, the COo A 

operations were compared to 1/31 of the August operations. CDoA's number was 

slightly higher, but agreement was within a few percent. 

The CDoA/L&B data covered not only the domestic commercial traffic that appears in 

the FAA's annual Airport Activity Statistics publication, but international commercial 

traffic, air taxi and other categories of air traffic as well. Based upon aircraft type 

information in the EDMS aircraft emission factor database, aircraft in CDoA's list were 

130 
assigned to one of the four categories of operations. Broadly speaking, jumbo, I on- and 

medium-range jets were classified as air carrier, most turboprops where classified as air 

taxi, business jets/turboprops and conventional aircraft were classified as general 

aviation and military aircraft were classified as military. This breakdown was in broad 

agreement with the numbers reported for O'Hare and Midway by the FAA. 

The emission factors for each aircraft type in pounds of pollutant (CO, HC, NOx) per 

L TO were calculated for each aircraft type in the CDoA/L&B list using information in the 

EDMS database files. EDMS has succeeded the FAEED (FAA Aircraft Engine 

Emission Database) computer program as FAA's standard model for environmental 

calculations. The EDMS databases contained information on: 

• The number of engines on each aircraft type 

• Normal times-in-mode (TIM), typically in minutes or fractions of an hour for the 

four operating modes for each aircraft type 

• The engine model or models used in each aircraft type 

• Modal emission factors in lb/L TO per unit time for each of the four modes for 

each engine model 

Aircraft engine emission factors do not vary significantly with ambient air temperature so 

they need not be adjusted for the seasons. 

A spreadsheet was used to calculate total emission factors for each pollutant per L TO 

for each aircraft type, according to Procedures Vol. IV, § 5.6. For each mode, the 

emission factor for each engine was multiplied by the corresponding TIM to obtain 

modal emissions per engine per L TO. These were summed to get total emissions per 

engine per L TO and that was multiplied by the number of engines on the aircraft to give 

total emissions per LOT for the aircraft. Following the methodology in § 5.6, the 

hydrocarbon emission factors were assumed to be for total hydrocarbons (THC) and 

correction factors to convert THC to VOM were applied to the emission calculations. 

The TCHNOM correction factors used were as follows: 

• Commercial: 1.095 

• Air Taxi: 0.991 

• General Aviation: 0.970 

• Military: 1.105 

Equation 5.6 is therefore used to compute VOM emissions for a given aircraft type. 

131 
EvoM = OPS x EFvoM x (TN) I 4000 

where: 

EvoM = emissions of VOM 

OPS =operations 

EFvoM = VOM emission factor 

TN = ratio of THC to VOM conversion factor 

(5.6) 

Modal emissions, the emissions that occur during each of the four engine-operating 

modes of interest, depend upon the amount of time the aircraft spends in that mode. 

Takeoff, climbout and approach times are fairly standard for various types or categories 

of aircraft, but the amount of time an aircraft spends taxiing and idling can vary greatly 

depending on congestion at the airport. Illinois EPA used EDMS's standard (default) 

TIMs which differ from aircraft for the takeoff, climbout and approach modes, but 

replaced EDMS's standard taxi/idle times by airport-specific taxi/idle times as reported 

by the FAA for Midway and O'Hare. Since taxi-idle times for O'Hare are different from 

those for Midway, emissions pr L TO are different for the same aircraft type at the two 

airports. 

In cases where no emission factor existed in the EDMS or elsewhere for a particular 

listed aircraft/engine combination, the factor was chosen from those of similar engine 

types in the same or similar airframes, in accordance with Volume IV's 

recommendation. Information on common aircraft/engine combinations from EDMS 

airport emissions estimation program was helpful in this regard. 

Emissions for each aircraft/engine combination at O'Hare and Midway were calculated 

on a spreadsheet by multiplying the appropriate overall emission factor (the sum of the 

by-aircraft emission factors for the individual four modes) by the number of L TOs and 

converting to tons. The resulting emissions by aircraft type were then summed to get 

airport totals. Subtotals were also calculated for the commercial, air taxi, general 

aviation and military categories of operations. 

For airports other than O'Hare and Midway, the above method had to be modified. 

Where operations data by commercial aircraft type form Airport Activity Statistics were 

available, the above method could be used to estimate the emissions from those 

operations. However, this accounts for only part of the commercial or air taxi categories 

of aircraft operations defined by the FAA and does not account for the other categories 

at all. Airports with control towers keep records of operations in the four categories, 

though, and this information was used where available. There are 18 civilian airports 

with control towers in Illinois: 

132 
• Chicago 

o O'Hare (ORO) 

o Midway (MOW) 

o Chicago/Meigs (CGX) 

• Elsewhere in the Chicago NAA 

o Palwaukee (PWK) 

o Aurora (ARR) 

o Waukegan (UGN) 

o DuPage County (DPA) 

• Metro-East NAA 

o Alton (ALN) 

o Cahokia (CPS) 

• Downstate attainment counties 

o Rockford (RFD) 

o Moline (MLI) 

o Peoria (PIA) 

o Bloomington (BMI) 

o Champaign (CMI) 

o Springfield (SPI) 

o Decatur (DEC) 

o Carbondale (MDH) 

o Marion (MWA) 

As noted above, the Illinois EPA obtained 2002 operations from FAA through the 

internet for each of these airports. The data consisted of the number of operations in 

each of the four categories for each month of 2002. Data were not available to 

distinguish between weekday and weekend operations, so typical summer day 

operations were calculated as 1/92 of the sum of the June, July and August operations. 

As a quality check, these FAA operations totals were compared to those from the Illinois 

Airport Inventory Report 2003 which are rounded. 

Airports other than those with towers listed above are assumed to have 100 percent 

general aviation traffic. The annual operations data for these small airports were taken 

from the I DOT publication Illinois Airport Inventory Report 2003. The most up-to-date 

operations estimates were used, and assumed to change little from year to year. 

Average daily operations were estimated by dividing the annual operations by 365 and 

these results were converted to summer weekday cps by multiplying by 1.15 because 

the general aviation aircraft in particular are flown more in summer than in winter. The 

factor 1.15 is based on a comparison of average summer day operations with average 

daily operations for Illinois airports with control towers, and is reasonably representative. 

For Scott AFB and the co-located MidAmerica Airport, operations data were obtained 

from Base Operations through the base's Environmental Management office. 

Operations data for the three aircraft types stationed at Scott AFB (C-9, C-21 and KC135), and for the Boeing 727s operating from MidAmerica Airport were available. 

Aircraft specific emission factors used to calculate emissions for those aircraft. Other 

133 
non-military aircraft operations at Scott AFB and MidAmerica were assumed to be 

general aviation or air taxi and appropriate fleetwide emission factors as described 

below were used to calculate those emissions. There are very few other commercial 

flights out of MidAmerica. 

Where operations data for individual aircraft types do not exist, Procedures Vol. IV 

allows the use of fleetwide emission factors. Fleetwide average emission factors for 

each of the four categories were published in the 1989 and 1992 editions of Volume IV 

(§ 5.2.4.2). They were used in Illinois EPA's approved 1990 inventory and are shown 

below in Table 5-14. 

These fleetwide emission factors, especially those for the air carrier and military 

categories given in the 1989 Vol. IV, date from 10-15 years ago or more and may not be 

representative of today's aircraft fleet. Therefore, on advice from USEPA/OTAQ, the 

1989 factors were compared with FAEED and EDMS emission factors for various 

aircraft types in the four categories, and reasonable, slightly conservative, average 

fleetwide factors were developed for each of the categories for downstate airports, 

where necessary, using engineering judgment. The emission factors used in the 

emission calculations are in Table 5-15. 

Table 5-15: Fleetwide Emission Factors (lb/LTO) 

Pollutant 

co 

HC 

NOx 

Commercial 

24.0 

4.0 

24.0 

Air Taxi 

30.0 

5.0 

2.0 

General 

Aviation 

13.0 

0.5 

0.1 

Military 

40.0 

10.0 

10.0 

The revised fleetwide emission factors were developed form the old factors by taking 

into account a number of considerations. 

For commercial and air taxi aircraft, the old emission factors most likely assume a 

significant proportion of high-emitting jumbo jets and ordinary jetliners with old and 

higher emitting engines. Few such aircraft use downstate airports in Illinois. 

For general aviation aircraft, emissions from small airports are from quite small propeller 

aircraft. Few data exist on their emission factors, but what data exist were consulted 

and compared with the Procedures Vol. IV values. The emission factors appear to be 

satisfactory for this category. The values, however, have been rounded to take into 

account the somewhat greater emissions from business jets and from general aviation 

aircraft other than small private planes. 

For military aircraft, the old emission factors are rather high compared to those for most 

military aircraft whose EDMS emission factors are available. Large high-emitting 

aircraft like B-52s and C-5s do not commonly use Illinois airports or military bases, so 

134 
the average emission factors should be fairly low. Emission factors for EDMS based 

upon aircraft commonly found in Illinois are shown in Table 5-15. Illinois EPA has 

assumed that at least 85 percent of the military operations at Springfield and Peoria 

were from the aircraft based there and that the other 15 percent of military operations at 

those and other airports had average fleet-wide emission factors. 

Scott AFB has considerable transient military traffic, according to its environmental 

management office, but detailed data on transient aircraft types were not available. 

Emissions from transient aircraft were therefore estimated using the fleetwide emission 

factors from Table 5-15. These emissions are conservative because the military 

emission factors in Table 5-15 are considerably higher than those for C-9s and C-21s, 

as can be seen in Table 5-16. 

Table 5-16: EDMS Emission Factors for Military Aircraft Based in Illinois (lb/L TO) 

Aircraft Based at co HC NOx 

F-16 Springfield 37.1 9.7 11.2 

C-130E Peoria 19.6 17.5 11.5 

C-9A ScottAFB 6.7 1.5 10.2 

C-21A Scott AFB 5.9 1.7 1.9 

KC-135 O'Hare/Chicago 58.0 3.3 34.4 

The fleet hydrocarbon emission factors given in the tables above are assumed to be for 

THC. Therefore, the THC to VOM correction factors were applied when computing 

VOM emissions for airports other than O'Hare and Midway, just as there were in the 

O'Hare and Midway computations. All the emission calculations were done on a 

spreadsheet. 

Since no emission factors for particulate matter were available through FAEED or 

EDMS, the document Documentation for Aircraft, Commercial Marine Vessel, 

Locomotive and other Nonroad Components of the National Emissions Inventory was 

used to obtain PM10 and PM2.5 emission factors. This document was prepared by 

E. H. Pechan & Associates, Inc. and is dated February 10, 2005. Emission factors are 

given in the table below. 

Table 5-17: Particulate Matter Emission Factors for Aircraft (lb/engine/L TO) 

Aircraft Type PM10 PM2.5 

Air Taxi 0.603 0.589 

Commercial 0.539 0.526 

General Aviation 0.237 0.231 

Military 0.603 0.589 

135 
5.2.2.2.4 Detailed Calculations of Aircraft Emissions 

Calculations were performed on spreadsheets in which operations data and emission 

factors were placed. In the O'Hare and Midway cases, the calculations were by aircraft 

type and summed by category. For other airports with towers, the calculations were 

made by category. For all other airports, the calculations were made assuming all 

aircraft were general aviation. Emissions from airports other than O'Hare, Midway and 

the airports with control towers are quite small. 

5.2.2.2.5 Emissions from Aircraft Auxiliary Power Units (A PUs) 

APUs are small turbine engines installed in the hulls of many large and medium aircraft 

to generate electricity and compressed air to keep the aircraft's systems operating when 

the main engines are off, as when the aircraft is parked at an airport gate. APUs use jet 

fuel and generate exhaust emissions like the main engines do. When in use, they run 

at full throttle. Most aircraft in the commercial category have APUs, but comparatively 

few air taxi or general aviation aircraft have them. Some military aircraft, especially 

transports, have APUs. 

APU emissions for an aircraft are the product of its APU's emission factor in pounds per 

hour of operation, the time in use in hours per L TO and the number of L TOs. Emissions 

from APUs are difficult to estimate accurately because good emission factor information 

is not available for many APU models and little information is available about APU time 

in use. 

Despite this, it has proved possible to make reasonable estimates of APU emissions at 

Midway and O'Hare Airports. Landrum & Brown, aviation consultants to the Chicago 

Department of Aviation, estimates the average APU time in use at Midway and O'Hare 

to be 26 minutes. L&B supplied Illinois EPA with a list of aircraft with APUs using those 

two airports in 2002. APU emission factors in pounds of pollutant per hour of operation 

were taken from the EDMS program, version 4.11. Illinois EPA combined that 

information with data on the number of operations by aircraft type for the two airports, 

also supplied by L&B, to obtain APU emissions. Those emissions are shown in Table 

5-16 below. Emission estimates for Midway and O'Hare airport include APU emissions. 

Emissions from APUs at Illinois airports other than Midway and O'Hare are negligible. 

For all practical purposes, APU emissions occur only at airports with commercial 

operations. Midway and O'Hare between them account for nearly 97 percent of the 

commercial operations in Illinois. Of the 16 remaining airports with towers in Illinois, 

only Bloomington, Moline, Peoria and Rockford had more than a handful of commercial 

operations in 2002. The four together account for about 1 /301

h the number of 

commercial operations, and therefore together would have at most 1/301

h the APU 

emissions that Midway and O'Hare do. Other Illinois airports, small ones without towers 

or commercial operations, have essentially no APU emissions. 

136 
Table 5-18: Emissions from APUs (tons/year) 

Airport 

Midway 

O'Hare 

co 

45.88 

210.43 

5.2.2.2.6 Annual Aircraft Emissions 

NOx 

28.95 

131.77 

502 

4.55 

19.95 

VOM 

0.07 

14.50 

Annual emissions at O'Hare are assumed to be 354 times summer weekday emissions 

and emissions at Midway are assumed to be 330 times summer weekday emissions. 

These factors, supplied by Landrum & Brown, are based on the ratio of summer 

weekday L TOs to annual L TOs. Aircraft activity at O'Hare varied little from month to 

month in 2002 but there are slightly more L TOs in summer than winter. Midway's 

aircraft activity varies. There were quite a few more L TOs in the summer 2002 than in 

winter. 

For the other 16 airports with towers in Illinois, operations data is available by month, so 

total annual operations, and therefore, total annual emissions, are easy to compute. 

For all other airports, the Illinois Airport Inventory Report 2003 gives the number of 

annual operations which allowed annual emissions to be calculated. 

5.2.2.3 Commercial Marine Vessels 

This category includes large cargo ships, passenger ships, oil tankers, etc., powered by 

steam or internal combustion engines and used for commercial purposes such as 

transport of passengers and cargo, commercial fishing and the like. Tugboats and 

pushboats, both those used in harbors and those used to propel barges on rivers are 

included in this category. Emission for pleasure boats are not included in this category, 

but rather in the other non-road engines and vehicles category describe in § 5.2.2.4 

below. 

Two main types of Commercial Marine Vessels found in Illinois waters are: 

• Lake vessels 

• River vessels 

Lake vessels are typically large boats and ships that operate on the Great Lakes. 

Almost all are diesel powered, though many use residual fuel rather than distillate fuel 

that most other commercial vessels use. Since only Cook and Lake Counties have 

shorelines and harbors on Lake Michigan, emissions from lake vessels occur only in 

those two counties. Lake vessels may be in an Illinois port for several days during 

loading and unloading, but once they leave the harbor, they quickly move out of Illinois 

waters. 

137 
River vessels are smaller, shallower-draft boats that travel the public waterways of the 

Illinois, Mississippi and Ohio Rivers. The Wabash and Kaskaskia Rivers are navigable 

for a small part of their length, but commercial traffic on them is negligible. Most river 

vessels are diesel-powered boats or tugs that push or pull large rafts of barges up and 

down the rivers. They may stay in state waters for days at a time. They use distillate 

fuel. 

Lake and river vessels overlap in the Chicago area. It is assumed that all CMVs in 

Illinois are diesel powered. There are a few steam vessels plying Illinois waters and 

emission factors for steam vessels are similar to those for diesel vessels, so little error 

is introduced by this assumption. 

There are two types of CMV emissions, dockside and underway. Dockside emissions 

are those that take place when the vessel is in port. Like large aircraft, large boats and 

ships require power to run electrical, ventilating and other equipment even when they 

are tied up to a dock. Smaller vessels in port often get the power they need from 

dockside connections, but larger ships (i.e., those with drafts greater than 18 feet) 

usually use their own engines, or a small auxiliary engine, at low throttle when in port to 

generate their own power. US EPA guidance is to assume each large ship is in port for 

three days. In Illinois waters, only lake vessels have such deep drafts, so dockside 

emissions are calculated only for those. Underway emissions are those that take place 

while the vessel is under way, that is, in transit. 

The emissions for this category were estimated for Illinois EPA by Environ Corp, under 

a contract with LADCO to make estimates for this category for all the LADCO states. 

The estimates were specific for 2002. The emissions were based on fuel use, 

apportioned by county based on commercial traffic on the rivers or in the Lake. Environ 

used data from the Army Corps of Engineers and US Department of Energy to make its 

calculations. 

Since information on waterborne traffic is not readily available by month, Environ 

calculated emissions on an annual basis and converted to tons per summer day by 

dividing by 204.75. This is equivalent to saying waterborne commerce takes place 

mostly in spring, summer and early autumn, with much less traffic in winter. This is 

reasonable. According to Corps of Engineers information collected over the last 35 

years or so, waterborne traffic on the Mississippi south of Quincy, Illinois continues 

throughout the year, only occasionally being stopped for a few days by ice or water 

levels. North of Quincy ice blockages are more coming. In most years, there is little 

traffic on the river upstream of the Quad Cities form mid-December through mid-March. 

Barge traffic on the Illinois River is usually little affected by ice buildup, though as with 

the Mississippi, there is less waterborne traffic in the winter. 

Once emissions were calculated for a waterway, the emissions are assigned to counties 

based upon the miles of river shoreline in the county. In Environ's calculations, half the 

emissions on the upper Mississippi River go to the states on the west bank and half to 

the states on the east bank. This is also the case for the Ohio River (north/south). The 

138 
emissions along stretches of the Mississippi are attributed to the counties in a state 

according to the county's river miles as a fraction of the length of the stretch for which 

the emissions were calculated. Environ apportioned the emissions along the Illinois 

River to the counties on the south and east bank. 

Emissions from ferries and other work boats (fishing boats, dredges, etc.) on the Illinois 

waterways are included in the emission totals from Environ. Data on their operations 

are more difficult to obtain and their emissions are small, though not quite negligible. 

Table 5-19: Commercial Marine Vessel Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 502 VOM 

Cook 270.67 0.81 1,533.99 44.31 40.77 211.69 35.98 

DuPage 42.29 0.13 219.89 5.07 4.66 18.42 4.81 

GrundyTwps 36.99 0.12 199.42 4.82 4.44 17.51 4.57 

Kane 0.00 0.00 0.00 0.00 0.00 0.00 0.00 

Kendall 0.00 0.00 0.00 0.00 0.00 0.00 0.00 

Lake 0.00 0.00 0.00 0.00 0.00 0.00 0.00 

McHenry 0.00 0.00 0.00 0.00 0.00 0.00 0.00 

Will 29.32 0.10 158.07 3.82 3.51 13.88 3.62 

Chicago NAA 379.27 1.16 2,111.37 58.02 53.38 261.50 48.99 

Madison 359.10 1.11 1,882.92 43.95 40.43 159.51 41.65 

Monroe 127.43 0.42 687.01 16.62 15.29 60.33 15.75 

Randolph Twps 24.85 0.08 133.98 3.24 2.98 11.77 3.07 

St. Cair 50.97 0.17 274.80 6.65 6.12 24.13 6.30 

Metro-East NAA 562.35 1.78 2978.71 70.46 64.82 255.74 66.77 

Attainment Area 2,554.61 8.41 1,3764.30 332.62 306.01 1,207.99 315.35 

State Total 3,496.23 11.35 1,8854.38 461.10 424.22 1,725.23 431.10 

5.2.2.4 Other Non-road Engines and Vehicles 

This category includes all other portable motorized equipment, from lawn mowers to 

snowblowers, from farm tractors to earthmoving equipment. Engines are powered by 

spark-ignition engines (usually fueled by gasoline) and some by diesels. There are two 

types of spark-ignition engines: 2-stroke and 4-stroke. The three types of engines, 2-

stroke, 4-stroke and diesel, have very different emission characteristics so they are 

treated separately in the inventory. Some non-road emission sources use CNG or LPG 

as a fuel. 

Most small to medium-sized non-road equipment, from lawn mowers to portable 

generators is powered by 4-stroke gasoline engines. Two-stroke engines are used 

chiefly in fairly small applications (e.g., snowblowers, hand-held equipment) because 

they are smaller and lighter than 4-stroke engines of the same power output. Diesel 

non-road equipment tends to be large (e.g., tractors, construction equipment). 

For this inventory, Illinois EPA used the NON ROAD model (version 2.2.0a- June 2003) 

to estimate non-road emissions by county. The NON ROAD model estimates emissions 

of hydrocarbons, CO, NOx, SOx and PM (both PM1 0 and PM2.5) from all non-road 

139 
categories except aircraft operations, locomotives and commercial marine vessels. The 

model takes into account growth, fuel characteristics and control programs. The inputs 

used in the NON ROAD model when estimating summer weekday emissions are shown 

in Table 5-20. 

Table 5-20: NON ROAD Input Parameters for Summer Daily Emissions 

NONROAD Input Chicago Downstate Downstate MetroParameter NAA North South EastNAA 

Fuel RVP (psi) 6.7 8.1 8.1 6.9 

Oxvqen% 3.5 3.5 3.5 3.5 

Gasoline sulfur 247 102 102 183 

content (ppm) 

Diesel sulfur 375 375 375 375 

content (ppm) 

CNG/LPG sulfur 0 0 0 0 

content (ppm) 

Minimum 64 64 71 71 

temperature IF\ 

Maximum 84 84 89 89 

temperature (F) 

Average 74 74 80 80 

temoerature IF) 

Stage II control 0 0 0 0 

(%) 

Summer daily emission totals were obtained by running the NON ROAD model for the 

Chicago, Downstate North, Downstate South and Metro-East areas with appropriate 

inputs from Table 5-20. The output file from the NON ROAD model were imported into a 

spreadsheet. The pivot table function was used on the spreadsheet to generate a table 

of emissions by county (across) and category and engine type (down) for 2-stroke, 4-

stroke and diesel engines. 

Annual emissions were calculated in essentially the same manner. The annual totals 

for the four areas of the state were obtained by running the NON ROAD model four 

times for each area, using the seasonal inputs shown in table 5-21. 

140 
Table 5-21: NON ROAD Input Parameters for Annual Emissions 

NONROAD Input Season Chicago Downstate Downstate MetroParameter NAA North South East NAA 

Fuel RVP (psi) Winter 14.0 13.0 13.0 13.4 

Spring 9.5 10.3 10.3 9.4 

Summer 6.7 8.1 8.1 6.9 

Fall 8.1 9.4 9.4 8.2 

Gasoline sulfur Winter 247 249 249 236 

content (ppm) Spring 247 235 235 203 

Summer 247 102 102 183 

Fall 247 169 169 193 

Diesel sulfur All 375 375 375 375 

content (ppm) seasons 

Minimum Winter 26 26 30 30 

temperature (F) Spring 36 36 45 45 

Summer 64 64 71 71 

Fall 43 43 49 49 

Maximum Winter 40 40 48 48 

temperature (F) Spring 56 56 65 65 

Summer 83 83 89 89 

Fall 61 61 67 67 

The seasonal outputs for each area were imported into a spreadsheet and summed to 

another page to obtain the annual total. The pivot table function was then used to 

obtain the emissions summed by county and source category as above. The resulting 

emissions for daily and annual emissions are summarized in Table 5-22. 

Table 5-22: Off-road Engine Emissions (tons/year) 

County co NH3 NOx PM10 PM2.5 S02 VOM 

Cook 291,234.18 17.28 25,308.73 2,036.79 1,873.92 445.03 24,456.86 

DuPage 93,031.46 5.21 6,864.01 557.15 512.57 111.80 6,522.46 

Grundy Twps 739.60 0.01 85.38 10.03 9.24 1.54 110.22 

Kane 30,706.12 2.15 3,420.88 281.76 259.23 55.94 2,254.67 

Kendall 2,659.27 0.05 119.43 13.12 12.10 2.07 326.09 

Lake 95,204.32 3.61 6,323.30 654.96 602.42 142.89 11,997.51 

McHenry 23,225.60 1.05 1,774.99 161.55 148.55 28.98 1,769.23 

Will 35,886.64 2.04 2,737.97 267.25 245.76 49.24 3,041.99 

Chicago NAA 572,687.19 31.40 45,634.69 3,982.61 3,663.78 837.49 50,479.03 

Madison 13,631.72 0.90 1,574.24 140.50 129.30 24.58 1,368.55 

Monroe 1,490.68 0.13 311.05 36.71 33.70 5.32 155.37 

Randolph Twps 93.35 0.01 14.30 2.27 2.09 0.26 24.55 

St. Cair 11,125.63 0.71 1,179.56 118.05 108.66 19.97 1,040.98 

Metro-East NAA 26,341.38 1.75 3,079.15 297.53 273.75 50.13 2,589.45 

Attainment Area 254,086.45 28.42 55,510.85 5,974.39 5,495.68 901.67 33,814.17 

State Total 853,115.02 61.57 104,224.69 10,254.53 9,433.21 1,789.29 86,882.65 

141 

6 Quality Assurance 

6.1 Purpose of the Inventory 

The objective of this emission inventory is to present an accurate and comprehensive 

account of all ozone precursor emissions from point, area and mobile sources for the 

entire State of Illinois in accordance with the requirements of the CAA. This inventory is 

a base year emission inventory for the year 2002, which will be used as a basis to 

assess Illinois' progress towards meeting the State's Rate of Progress Plan 

requirements. The ozone precursors included in the inventory are CO, NOx and VOM. 

Emissions presented in the 2002 periodic emission inventory are typical summer day 

and annual. 

6.2 Scope of the Quality Assurance Plan 

The Illinois EPA has implemented quality assurance (QA) procedures and quality 

control (QC) checks at various stages in the inventory process. The QA preparations 

involved in the development of the emission inventory were based on the procedures as 

outlined in the US EPA's publications EPA-450-4-88-023, Guidance for the Preparation 

of Quality Assurance Plans for 03/CO SIP Emission Inventories and EPA-450/4-91-

022, Quality Review Guidelines for 1990 Base Year Emission Inventories and Illinois 

EPA's document, Illinois Environmental Protection Agency Point Source Emissions 

Inventory Quality Assurance/Quality Control (QAIQC) Plan by the Radian Corporation 

(November 1991). Details of the QA program are discussed in the following sections. 

6.3 Summary of QA Activities 

In general, four basic stages were involved in the preparation of the 2002 emission 

inventory: planning, data collection, data analysis and data reporting. Data analyses 

include estimation of emissions for point sources that failed to report ozone season 

emissions in their annual emission report to the Illinois EPA. The reporting stage 

includes the presentation of summer ozone season data and emission estimates as a 

finished product in the required format. As a first step, the QA program was conceived 

earlier in the process and was implemented throughout the various stages of inventory 

development. Second, the collection of data (or representative samples of it) had 

undergone review for suitability, completeness and correctness. Next, all the 

methodologies used in the calculation of missing or unreported emission data and those 

methodologies used for various data analyses were all reviewed to ensure the inventory 

of such emission data were appropriate representations of each respective emission 

category. Lastly, the finished periodic emission inventory product was checked and 

audited for completeness and accuracy. 

143 
6.3.1 Inventory and QA Planning 

Illinois EPA's Air Quality Planning Section inventory staff used a QA plan largely based 

on requirements according to the CAA and US EPA quality assurance and quality 

control guidance documents. Also, the overall inventory QA plan was influenced by 

experiences gained in the development of the approved 1990 based year ozone 

precursors emission inventories for both the Chicago and the Metro-East areas, as well 

as in the development of all previous inventories. 

6.3.2 Resource Allocation for QA 

In-house quality assurance activities required a person with experience and authority to 

carry out QA duties. The QA coordinator (QAC) interacted directly with the inventory 

staff or specialists for point, area and mobile sources. Essentially, the planning and 

implementation of QA checks are in accordance with the QA plan as described herein 

and with USEPA's QA and QC guidance documents. 

Late in 1999, a major change in how the point source inventory is developed occurred. 

Until then, there was no person or group responsible for the data contained in the 

inventory. QA activities were performed as periodic inventories were needed. Due to 

this, the responsibility of compiling the point source emission inventory was moved from 

the Permit Section to the Inventory and Data Support Unit of the Air Quality Planning 

Section. 

6.3.3 Schedule and Project Planning 

The Air Quality Planning Section's inventory staff's experience in the development of 

the 1990 base year and subsequent inventories were drawn upon in preparing the QA 

plan for the 2002 periodic emission inventory. 

To prepare the 2002 AER data for inventory use, inventory staff reviewed the emission 

data prior to entering it into CAERS. The experiences in such review were also 

included as bases in developing the QA plan for this inventory. Many data range 

checks are built into the CAERS and ISS IS systems. This ensures values entered into 

the database are within acceptable levels such as those ranges of values for 

parameters indicated in Section 6.4. Knowledge that such input value ranges are 

automatically validated contributed to the overall design of the QA plan. 

As permits are issued, the emission data contained in the permit and application are 

compiled into the point source emission inventory by the inventory staff. Each source 

that has been coded is then reviewed for correctness and completeness by the Unit 

Manager. This review also contributes to the contribution of the overall design of the 

QA plan. 

144 
A review of the results of the 2002 AER input data and Illinois EPA entered data 

became the groundwork for planning and scheduling the QA efforts for the 2002 

inventory. Specific key parameters identified in the inventory were tagged as a potential 

focus for QA work and incorporated in the planning for reviewing the point source 

emissions data. 

The inventory staff charged with the mobile and area source portions of the inventory 

began their parallel QA efforts to enable a timely completion of the inventory, all QA 

checks and audits. For on-road mobile sources, review of emission factors was 

primarily confined to QA of the inputs to the MOBILE model. For non-road sources 

other than aircraft, the QA procedures were comparable to those used in the 1999 and 

2002 (periodic) inventories. The non-road source methodology and emission data were 

compared with previous studies done on this category. For aircraft, QA consisted 

mainly of checking the activity data against those from previous years and checking 

emission factor data versus similar data published by US EPA. 

6.4 QA Technical Information 

As noted above, the emission inventory system the DAPC uses contributes to the 

overall quality assurance aspect for this inventory. The emission inventory data has 

already been range checked for the following parameters: 

o Stack height ,;; 1250 feet 

• Stack diameter,;; 99.99 feet 

o Hours per year,;; 8760 

o Peak ozone season hours,;; 2190 

o Weeks per year ,;; 52 

o Peak ozone season weeks ,;; 13 

o Days per week ,;; 7 

o Hours per day ,;; 24 

o Seasonal throughput totals = 100 percent 

In addition to the validation of input data ranges, ISS IS and CAERS also perform 

automated validation of codes such as SIC and SCC. With such tasks performed, the 

inventory staff is more focused on reviewing key parameters and other aspects of the 

inventory that may significantly affect the accurate representation of typical summer 

weekday emissions. 

6.4.1 Prioritizing Sources and Data Elements 

The data elements of the 2002 periodic emission inventory were based on the source 

reported emissions for 2002. This reported data was deemed more representative 

compared to the emissions from growing a previous point source inventory. An analysis 

was performed by comparing the emission level in 1999 and 2002 on a point-by-point 

145 
basis. With tens of thousands of records statewide to QA for purposes of this inventory, 

this methodology helped to focus resources towards emission points that were found to 

have a significant increase or decrease in emissions from 1999 to 2002. If the 2002 

emissions differed from the 2002 emission by ±10 percent or more, further analysis was 

performed and the submitted annual emission report was scrutinized. In many cases it 

was also necessary to review past changes to the inventory contained in ISS IS to 

identify the changes in emissions were due to more accurate coding of the inventory. A 

closer review on reported values for CO, NOx and VOM was done to ascertain the 

accuracy of entered values in the preliminary 2002 data retrieved from the database. 

Sources having the largest increase or decrease in emissions levels between 1999 and 

2002 were identified and all emission points within the source were scrutinized for 

appropriate inventory use. 

6.4.2 Data Sources and Checking Procedures 

Although the data used in the point source emission inventory came directly from the 

sources themselves, some data were deemed incorrectly represented and corrected 

accordingly. If necessary, all possible sources of information were used in this QA 

effort, including AERs from previous years, to determine reliability of the data for 

inclusion in the inventory. The inventory staff assessed all data that were presented 

and took into account the capabilities and biases of the organization supplying the data, 

the techniques used to collect the data and the purpose for which the data had been 

compiled. All of these provided an overall understanding of the limitations of reported 

data and served as a guide in choosing the best data for use in the inventory. 

All reported data from the source's 2002 AER were checked at intervals and entered 

into CAERS. The point source reported data were reviewed and, in general, found 

acceptable as most companies have provided the necessary information required by 

Illinois EPA. Area source data, such as census and meteorological information, sales of 

taxable substances like motor fuels, landings and takeoffs at airports, etc. came from 

federal or state government sources and are relatively accurate and found to be 

appropriate for use in this inventory. VMT data for mobile sources are published by 

I DOT and are reasonably accurate as well. Data from high-quality sources are still 

subjected to QA checks for relevance and suitability for the inventory. Other data for 

area sources may be several years old or were obtained in aggregate form (i.e., 

nationwide or statewide rather than by county or city) and are subject to further scrutiny. 

These sets of data underwent the same checks as the higher quality and were reviewed 

with greater attention to bias and collection techniques. 

The process of checking the emission data was generally performed several times in 

the inventory development process. The inventory staff reviews the data as presented 

by each source to Illinois EPA. The QAC, through comparative analysis and other 

database review/manipulations and during the calculation phase sorts and flags suspect 

emission points and values and returns them to the responsible inventory staff for 

another round of QA review and scrutiny. Finally, after the consolidated emission 

146 
results are being finalized, the inventory staff performs a final review of emission values 

for inclusion in the inventory. The second independent QA check is more formal than 

the other two and is usually done on a sample of the data. The first and third checks 

cover all data used. 

6.5 Data Collection and Analysis 

The following sections describe Illinois EPA's plans in collecting and analyzing emission 

data and the QA procedures used by the inventory staff in evaluating them. 

6.5.1 Identification of Emission Sources 

The Illinois EPA used a checklist similar to those in Appendix A of the QA guidance to 

make sure all appropriate source categories are covered in the inventory. In regard to 

point sources, all those sources that (a) are located in the State of Illinois and (b) are 

shown to have emissions of CO, NOx or VOM are automatically included in the 

inventory. Illinois EPA is confident all significant point sources are included in ISS IS. 

Nevertheless, as part of its QA efforts, Illinois EPA crosschecked the emission database 

generated for the 2002 inventory with previous inventories. 

The Illinois EPA also identified sources that were known to have operated in 2002 but 

which did not have their emission data entered into the system until 2003. Data 

reported at the source level plus data entered from the permit application in 2003 were 

combined to create a complete 2002 inventory for each of those sources. 

The 1999 periodic emission inventory was used as a comparison for all point emission 

categories in the 2002 inventory. The 2002 area source categories were also checked 

against the 1999 inventory. All area source and mobile source categories listed in the 

federal guidance are included in the inventory. Illinois EPA checks MOBILE model 

inputs (particularly temperatures and volatility) and VMT data for completeness, in order 

to ensure their suitable use in the model. For example, published gasoline volatility 

data was compared with those reported by the IDOA, which normally performs various 

tests on gasoline in the state. 

For area sources, the preliminary 2002 inventory developed by USEPA was used to 

identify additional source categories that may have not been calculated in previous 

years. There were very few categories that were not already inventoried (e.g., 

commercial cooking), but since annual emissions needed to be included activities that 

don't take place during the summer (e.g., residential wood combustion) were also 

included in the inventory. 

147 
6.5.2 Data Quality 

To ensure the emission inventory is of the highest quality, QA procedures were in place 

for evaluating the quality and reliability of data for use in the inventory. These 

evaluation processes enable the inventory staff to make informed choices between 

sources of information, especially if the data from one source differs significantly in 

comparison with those that were obtained from another source. Also, the evaluation 

process allows the inventory staff and users of the inventory to make informed 

judgments about the validity of the emissions in any particular category. 

Representative QA actions include checking the base year relevancy of the data; the 

use of 2002 data where possible, is emphasized. However, if such base year data are 

unavailable, the most recent reliable data is used and noted accordingly in the inventory 

documentation. If certain data were updated to 2002 levels, the update method is noted 

and included in the documentation. 

Data were crosschecked with similarly published data. Appropriate caution was taken 

in the choice of "other published data", especially when such data may have originated 

form the same source that produced the original data. In such cases, the actual data is 

not easily verifiable, but some credibility and support is given for such data, especially 

when an independent organization had chosen to publish such data. Checking 2002 

inventory data against those reflected in the past year or years is useful since 

magnitudes and trends may be verified in this manner. This is especially applicable for 

such data as VMT by road type. 

Some QA actions were more subjective, i.e., the judgment and experience of the 

inventory staff is important in these evaluations. The professional capabilities and 

biases, if any, of the suppliers of the data were taken into consideration, including the 

purpose for which the data were collected. Data organized by government agencies for 

taxation purposes (e.g., gasoline sales) and industry information on purchases and 

sales of materials and products (e.g., coal usage at the power plant), were considered 

of acceptable quality since both entities have a specific incentive to obtain the most 

accurate information. Data collection techniques, if known, were assessed accordingly. 

For example, information from plant inspections was considered more reliable than data 

from mail surveys. However, unless the inventory staff or the QA coordinator had any 

significant comment about one or more of these subjective assessments (for example, 

when one source of data for a category was chosen over another), such assessments, 

as a rule, are not part of the inventory documentation. 

148 
6.5.3 Emission Estimation Methods 

Illinois EPA estimates emissions following the procedures outlined in these USEPA 

publications: 

• EPA-450/4-88-019, Inventory Reguirements for Post-1987 Ozone State 

Implementation Plans, December 1988 

• EPA-450/88-021, Procedures for the Preparation of Emission Inventories for 

Precursors of Ozone: Volume I, Third Edition, December 1999 

• EPA-450/4-81-026d (Revised), Procedures for the Preparation of Emission 

Inventories for Precursors of Ozone: Volume IV: Mobile Sources, July 1989 

• AP-42, Compilation of Air Pollutant Emission Factors, Fifth Edition, January 

1995 and supplements 

Where specific USEPA guidance was not available, Illinois EPA used generally 

accepted engineering principles, calculations and judgment, supplemented by technical 

information from other sources, in estimating emissions. In all such cases, the method, 

data and other relevant information were identified accordingly. 

The emission estimates were adjusted to reflect conditions on a typical 2002 summer 

weekday as follows: 

• Point Sources: by using peak ozone season emission rates from source 

submitted 2002 AERs 

• Area Sources: by using seasonal adjustment factors such as those reflected 

in US EPA guidance and by adjustments for representative 2002 summertime 

temperatures and volatility for certain categories (e.g, storage of gasoline and 

otherVOM) 

• Mobile Sources: by adjusting VMT for 2002 summertime conditions and using 

representative 2002 summertime temperatures and fuel volatility when 

calculating the MOBILE model's emission rates. The MOBILE6 model used 

in the CAA inventories calculates midyear (summer) emission rates directly 

so no adjustments were made to the emission rates on that account. 

6.5.4 Consistency with Other States 

Several conference calls were held early in the inventory development process with the 

states of Indiana, Michigan, Minnesota, Ohio and Wisconsin through LADCO to identify 

the emission factors or calculations methods to be used in calculating emissions from 

certain area source categories. 

149 
6.5.5 Calculations and Data Handling 

Computers were employed in all calculations for the inventory. Arithmetic errors are 

minimized in these calculations. Typographical errors and incomplete algorithms are of 

concern. For this situation, sample manual calculations were done for comparative 

purposes. At least one such calculation was made for every category. 

Computerized information was stored on the BOA's network and was backed up nightly. 

Original inventory data continued to be maintained in the database. This data was 

extracted from the database and was maintained in an Access® database on the 

network. The Access® database was manipulated to obtain the 2002 point source 

inventory. 

6.5.6 Validation Procedures 

Data validation included a review for completeness of periodic emission inventory 

coverage. Illinois EPA believes all point sources in the state were accounted for in the 

inventory. In order to ensure completeness of coverage, Illinois EPA compared the lists 

of sources between the 1999 and 2002 inventories. 

Point and area sources were also checked againstthe list of categories shown in the 

QA Guidance to ensure all emission categories were covered. 

1. Data consistency. The input and output data are consistent with US EPA 

guidance documents as to the (1) area of coverage, (2) pollutants, (3) 

methodologies and (4) units of measurement employed. 

2. Area covered. This inventory was compiled on a statewide basis. 

3. Pollutants covered. CO, NOx and VOM, all ozone precursors, were inventoried 

in accordance with US EPA guidance requirements. 

The potential for "double counting" emissions in the area source inventory was 

also taken into consideration. This could occur in categories which have both 

point and area source emissions represented in the inventory (e.g., the dry 

cleaning category). The category's point source emissions are assumed to be 

included in the total or gross emissions, which are generally estimated based on 

a surrogate factor such as population. The net area source emissions are then 

calculated by subtracting the calculated point source emissions from the total in 

order to avoid accounting for point source emissions twice. Some other area 

source categories which have the potential for double counting of emission are 

Graphic Arts, Commercial/Institutional fuel use and Waste Disposal. These were 

reviewed to make sure no double counting occurred in the inventory. 

4. Methods and units used. This procedure ensures the methods of calculations 

employed are consistent with USEPA guidance and usage of such units is 

correct. 

150 
6.6 Data Handling 

6.6.1 Data Coding and Recording 

Coding and recording of data into the ISSIS and CAERS database is done by trained 

inventory staff and is subject to standard operating procedures (SOPs). Similarly, 

updates and corrections discovered in the course of QA efforts were updated by the 

inventory staff. Any changes to the database are monitored and reviewed by the 

Manager of the Inventory and Data Support Unit. QA of information was further carried 

out by the QAC before any inclusions were considered into the 2002 inventory. 

6.6.2 Data Tracking 

Illinois EPA keeps its data and calculations mainly on personal computers and/or the 

BOA's network. Raw data, especially for area sources, are obtained in various forms 

which are kept in files by the inventory staff for future reference purposes. Such files 

may include other information (e.g., sample calculations, estimates, sources of 

information, various relevant notes and correspondence, etc.) also for reference 

purposes. Any data in electronic form was backed up so that every file is available for 

quick recovery and reconstruction of data. 

6.6.3 Correcting Data 

Where an inventory staff member discovers an error in reported data, that data is 

corrected in both the extracted data for the inventory and the originating data source. 

First, the person identifying the error consults with the IDS Unit Manager to determine 

whether a correction is truly necessary. If a correction is warranted, the person 

responsible for maintaining the extracted data is notified on what changes to make to 

that data set. Updates to the originating data set are performed by the inventory staff 

designated by the IDS Unit Manager. 

6.6.4 Missing Data 

This applies mainly to point source data. As noted above, missing emission data was 

not a major problem for Illinois EPA, but point source data have been known to be 

missing or in error for many small sources, and their absence, while not affecting 

emission totals, could be significant. For point sources, permit data has been used to 

obtain estimated values for missing data. In other categories, missing data, if they 

occur, were treated as data needing correction and dealt with accordingly. Where any 

missing data could not be obtained, a note was made of the fact, and suitable values 

estimated. The methods used to estimate the data is documented in detailed records. 

151 
6.7 QA Audits 

6.7.1 Internal 

The Illinois EPA did not perform a complete internal or agency QA audit during its work 

on the 2002 inventory. For example, the documentation for an area source category 

included: 

• The raw data (including emission factors) and references 

• The calculation method and references 

• The calculated emissions 

• Other comments for the category 

If the rationale for the choice of one particular data set or methodology over another 

was an issue, such an issue is discussed. Comments about the reliability or quality of 

the data (and hence the emission estimate) are also documented. In this sense the 

inventory documentation is its own audit. 

A review of the initial data in the point source inventory was compared against the 

annual totals reported on the source's AER. Sources where the difference was greater 

than 10 tons were reviewed and updated as necessary. 

A further review of the point source inventory included looking at annual totals reported 

in 2001, 2002 and 2003 to check for appropriateness of using 2002 data. The initial 

review of this data revealed sources that, for various reasons, were not included in the 

2002 inventory (i.e., they had reported emissions for 2001 and 2003 but not 2002). 

These sources and emissions were added to the point source inventory. A second level 

review revealed ten sources that appeared to have emissions for 2002 that were not 

representative. In most cases, these sources were involved in ownership changes or 

were in the process of curtailing or shutting down some or all of their processes. Table 

6-1 identifies the sources that were individually reviewed and the decision made as to 

which year of emissions to use. 

152 
Table 6-1: Potential Sources with 2002 Emissions not being Representative 

ld Number Source City Inventory 

Year Used 

031258AAI Acme Steel Co Riverdale 2002 

031258ABR ISG Riverdale Riverdale 2001* 

031600AMC LTV Steel Co Chicago 2001 

031824AAB Premcor Refining Group Alsip 2002 

103806AAC Dixon-Marquette Cement Dixon 2002 

107035AAM Lincoln Developmental Center Lincoln 2002 

115015AAK Caterpillar, Inc Decatur 2001 

119010AAE Laclede Steel Co Alton 2001 

191803AAA Trunkline Gas Co Johnsonville 2002 

195818AAI Sterling Steel Company LLC Sterling 2001 

* Acme Steel sold part of its source to ISG Riverdale. At the time of the 2002 inventory 

this was not finalized and all the affected emission units were in the inventory for Acme 

Steel (031258AAI). Acme Steel's 2001 AER included the equipment to be sold to ISG 

Riverdale so the emission inventory for ISG Riverdale was updated under the Acme 

Steel inventory. The 2005 inventory will have the equipment under the correct sources. 

6.7.2 External 

The Illinois Environmental Regulatory Group (I ERG) requested source emission total 

data from Illinois EPA. This data was provided to I ERG and was reviewed by its 

members. From this review, the Illinois EPA received comments and corrections to the 

point source inventory. These corrections were reviewed, and in most cases, accepted. 

The discrepancies identified arose primarily from the sources reporting data on nonstandard annual emission reporting forms which made it difficult for the data entry staff 

to enter the data or be able to identify which emission units to associate with the data. 

The most common reason for not updating the inventory was that the inventory that was 

created by Illinois EPA agreed with the data that existed in the Acid Rain database. 

Table 6-2 identified the sources that responded and whether updates were made to 

their source. 

153 
Table 6-2: Sources Making Comments on Data Sent to I ERG 

ld Number Source City Inventory 

Updated? 

003005AAI Bunge North America, Inc Cairo Yes 

007005AAF Chrysler Corp Belvidere Yes 

007804AAK Natural Gas Pipeline of America Belvidere Yes 

021814AAB Kincaid Generation, LLC Kincaid No 

031012AAO Nalco Chemical Co Bedford Park Yes 

031012ABI Corn Products International Bedford Park Yes 

031438ABL Elgin Energy Center Elgin No 

031600AIN Midwest Generation Chicago No 

043804AAA Midwest Generation Lombard No 

051808AAB Natural Gas Pipeline Co St. Elmo Yes 

057801AAA AES Duck Creek Canton Yes 

063806AAF Midwest Generation Morris No 

073816AAA Natural Gas Pipeline Geneseo Yes 

077806AAA Ameren Engergy Grand Tower Yes 

091801AAH Bunge Foods Corp Bradley Yes 

091804AAB Cognis Corp Kankakee Yes 

091811AAB Natural Gas Pipeline of America Herscher Yes 

093808AAC Natural Gas Pipeline of America Minooka Yes 

097125AAA Abbott Laboratories North Chicago Yes 

097190AAC Midwest Generation LLC Waukegan No 

097809AAD Abbott Laboratories Abbott Park Yes 

115015AAE Archer Daniels Midland Decatur Yes 

115015AAK Caterpillar, Inc Decatur Yes 

115015ABX AE Staley Manufacturing Co Decatur Yes 

143065AJE Archer Daniels Midland Peoria Yes 

143805AAG AES ED Edwards Station Bartonville No 

143810AAG Ameren Energy Mossville Yes 

147802AAB Natural Gas Pipeline of America Hammond Yes 

167120AAO City Water, Light & Power Springfield No 

179020AAB Caterpillar, Inc East Peoria Yes 

179801AAA Midwest Generation LLC Pekin No 

183020ABT Bunge Grain Milling Inc Danville Yes 

197090AAI CITGO Petroleum Corp Lemont Yes 

197800AAA ExxonMobil Oil Corp Joliet Yes 

197800AAC BP Amoco Chemical Co Channahon Yes 

197800AAE Stepan Co Elwood Yes 

197800AAM BASF Corp Channahon Yes 

197809AAO Midwest Generation LLC Joliet No 

197810AAK Midwest Generation LLC Romeoville No 

197817AAA Natural Gas Pipeline of America Shorewood Yes 

154 
7 Conclusion 

This report summarizes and documents Illinois' 2002 base year particulate matter 

inventory. This report includes emissions for the entire state, plus identification of 

emissions for the two nonatlainment areas of the state and the remaining attainment 

area. The inventory was developed using actual 2002 emissions and data except in 

cases where noted. 

This document presents the 2002 base year particulate matter inventory annual 

emissions for CO, NH3, NOx, PM10, PM2.5, S02 and VOM from point, area, on-road 

mobile, off-road mobile, animal husbandry and biogenic sources for the State of Illinois. 

In producing this document, Illinois EPA has followed the procedures outlined in 

US EPA's guidance documents pertaining to both preparation and quality assurance of 

the inventory and therefore believes the inventory to be complete, accurate and of high 

quality. 

Table 7-1: Emission Summary (tons/year) 

Area co NH3 NOx PM10 PM2.5 502 VOM 

Chicago NAA 1 ,631 ,448.97 11,301.27 343,103.17 108,602.66 33,017.54 132,480.84 261,820.84 

Metro-East NAA 171,793.17 2,525.09 61,029.36 23,202.16 7,005.47 55,748.50 47,143.80 

Attainment Area 1,512,578.30 71,764.35 469,120.40 433,228.01 99,602.93 342,371.59 754,798.35 

Total 3,315,820.44 85,590.71 873,252.94 565,032.84 139,625.94 530,600.92 1063,762.98 

Table 7-2: Statewide Emission Contributions (percent) 

Category co NH3 NOx PM10 PM2.5 502 VOM 

Point 2.8 0.7 30.7 6.5 6.1 95.6 7.2 

Area 2.8 34.9 5.4 89.8 81.0 1.0 20.9 

On-Road 65.3 12.6 35.5 1.4 4.1 1.7 13.5 

Off-Road 26.7 0.1 24.0 2.4 8.8 1.8 8.7 

Biogenic 2.4 --- 4.4 --- --- --- 49.7 

Animal --- 51.6 -- --- --- --- ---

Table 7-3: Chicago NAA Emission Contributions (percent) 

Category co NH3 NOx PM10 PM2.5 502 VOM 

Point 1.6 1.3 15.8 9.1 8.3 91.8 8.1 

Area 2.1 32.8 9.4 82.2 67.7 2.5 34.0 

On-Road 60.0 53.0 48.9 3.9 9.3 2.9 22.8 

Off-Road 36.1 0.4 25.5 4.8 14.6 2.8 20.3 

Biogenic --- 12.5 --- --- --- --- --- Animal 0.3 --- 0.5 --- --- --- 14.8 

155 
Table 7-4: Metro-East NAA Emission Contributions (percent) 

Category co NH3 NOx PM10 PM2.5 502 VOM 

Point 11.8 1.8 56.5 27.6 33.0 97.8 10.8 

Area 3.4 33.7 3.0 68.7 56.7 0.4 26.8 

On-Road 66.8 23.1 26.9 1.9 4.6 1.1 17.1 

Off-Road 16.5 0.2 12.1 1.8 5.6 0.7 6.0 

Biogenic 1.5 --- 1.6 --- --- --- 39.2 

Animal --- 41.3 --- --- --- --- ---

Table 7-5: Attainment Area Emission Contributions (percent) 

Category co NH3 NOx PM10 PM2.5 502 VOM 

Point 3.0 0.6 19.9 4.7 3.4 96.7 6.7 

Area 3.6 35.3 1.5 92.8 87.1 0.5 16.0 

On-Road 70.9 5.9 14.0 0.7 2.4 1.3 10.0 

Off-Road 17.7 0.1 12.7 1.8 7.1 1.5 4.8 

Biogenic 4.8 --- 52.0 --- --- --- 62.5 

Animal --- 58.1 --- --- --- --- ---

Table 7-6: Geographic Contributions (percent) 

Area co NH3 NOx PM10 PM2.5 502 VOM 

Chicago NAA 49.2 13.2 39.3 19.2 23.7 25.0 24.6 

Metro-East NAA 5.2 3.0 7.0 4.1 5.0 10.5 4.4 

Attainment Area 45.6 83.8 53.7 76.7 71.3 64.5 71.0 

156 
8 References 

1. Nonhazardous Solid Waste Management and Landfill Capacity in Illinois - 2002 

Annual Report, IEPA/BOL/03-014, Bureau of Land Pollution Control, Illinois EPA, 

Springfield, IL, October 2003. 

2. Technology Transfer Network Clearinghouse for Inventories and Emission 

Factors, AP-42, www.epa.gov/ttn/chief/ap42. 

3. Procedures for the Preparation of Emission Inventories for Carbon Monoxide and 

Precursors of Ozone, Volume 1: General Guidance for Stationarv Sources, EPA450/4-91-016, Office of Air Quality Planning & Standards, Research Triangle 

Park, NC. May 1991. 

4. Emissions lnventorv Guidance for Implementation of Ozone and Particulate 

Matter National Ambient Air Quality Standards (NAAQS) and Regional Haze, 

EPA-454/R-05-001, Office of Air Quality Planning & Standards, Research 

Triangle Park, NC, August 2005. 

5. E-mail from Mark Schleusener, Illinois Agricultural Statistics Service, January 

127, 2004 

6. Development and Selection of Ammonia Emission Factors, R. Battye, W. Battye, 

C. Overcash, S. Fudge, EC/R Incorporated, Durham, NC, August 1994. 

7. Illinois Agricultural Statistics, www.agstats.state.il.us, Illinois Agricultural Statistics 

Bureau, Springfield, IL 

8. E-mail from Peter Skuba, Illinois Department of Natural Resources, Springfield, 

IL, November 18, 2003. 

9. Documentation for the Draft 2002 Nonpoint Source National Emission lnventorv 

for Criteria and Hazardous Air Pollutants, US Environmental Protection Agency, 

Office of Air Quality Planning and Standards, Emissions, Monitoring and Analysis 

Division, Research Triangle Park, NC, March 2005. 

10. National Emission Inventory- Ammonia Emissions from Animal Husbandry 

Operations (Draft Report), US EPA, NC, January 30, 2004. 

11. Paint and Allied Products: 2002 (MA325F(02)-1 ), US Census Bureau, 

Washington, DC, July 2003. 

12. E-mail from James White, Illinois Department of Transportation, Springfield, IL, 

November 5, 2003. 

157 
13. Mileage of Highways and Streets Table HS-1, Illinois Department of 

Transportation, Office of Planning and Programming- Planning Services 

Section, Springfield, IL, December 2002. 

14. US EPA's Factor Information Retrieval (FIRE) Data System, Version 6.24. 

15. Methods for Developing a National Emission Inventory for Commercial Cooking 

Processes- Technical Memorandum, E. H. Pechan & Associates Inc., Research 

Triangle Park, NC, July 2003. 

16.2002 Employment Data by County and Sector for Illinois data file, Bureau of 

Labor Statistics, Washington, DC, October 23, 2003. 

17. EIIP Volume Ill: Chapter 5- Consumer and Commercial Solvent Use, Eastern 

Research Group, Morrisville, NC, August 1996. 

18. EIIP Volume Ill: Chapter 4- Drv Cleaning, Eastern Research Group, Morrisville, 

NC, May 1996. 

19.2002 Energy Consumption Data, US Department of Energy, Energy Information 

Administration, Washington, DC. 

20.American Housing Survey for the Chicago Metropolitan Area in 1999, US 

Department of Commerce, Washington, DC, March 2001. 

21. American Housing Survey for the St. Louis Metropolitan Area in 1996, US 

Department of Commerce, Washington, DC, November 1977. 

22. American Housing Survey for the United States: 2001, US Department of 

Commerce, Washington, DC, October 2002. 

23.111inois Travel Statistics 2002, Illinois Department of Transportation, Office of 

Planning and Programming, Springfield, IL 

24. EIIP Volume Ill: Chapter 7- Graphic Arts, Eastern Research Group, Morrisville, 

NC, November 1996. 

25. EIIP Volume Ill: Chapter 8- Industrial Surface Coating, Eastern Research 

Group, Morrisville, NC, September 1997. 

26. Waterborne Commerce of the United States- 1988, Department of the Army 

Corps of Engineers, Fort Belvoir, VA, June 1990. 

27 .Illinois Waterborne Shipping Database, Illinois Department of Transportation, 

Division of Water Resources, Chicago, IL, 1991. 

158 
28. EIIP Volume Ill: Chapter 14- Traffic Markings, Eastern Research Group, 

Morrisville, NC, May 1997. 

29. California's Portable Gasoline Container Emissions lnventorv, California 

Environmental Protection Agency, Air Resources Board, Mobile Source Control 

Division, September 1999. 

30. EIIP Volume Ill: Chapter 6- Solvent Cleaning. Eastern Research Group, 

Morrisville, NC, September 1997. 

31. Structure fire data - National Fire Information Reporting Services, Office of the 

Illinois State Fire Marshal, Springfield, IL 

32. EIIP Volume Ill: Chapter 18- Structure Fires, Eastern Research Group, 

Morrisville, NC, April 2001. 

33. Estimating Volatile Organic Compound Emissions from Publicly Owned 

Treatment Works, Eun Namkung and Bruce E. Rittman, Journal Water Pollution 

Control Federation, Volume 59, Number 7, July 1987. 

34. VOM Sampling at the Calumet and West-Southwest Sewage Treatment Plants, 

US EPA Region V, Rebecca Calby, Ambient Assessment Unit, July 1987. 

35. Emissions of Volatile Organic Compounds from the Sewage Treatment Facilities 

of the Metropolitan Sanitarv District of Greater Chicago: Volume I, Kenneth E. 

Noll and F. Thomas DePaul, November 1987. 

36. Report on Emissions lnventorv Development for Volatile Organic Compounds 

from Publicly Owned Treatment Works in the New York and New Jersey Ozone 

Nonattainment Areas, Roch C. Baamonde and Betty Martinovich, US EPA Region 

II, New York, NY, 1987. 

37. Report to Congress on the Discharge of Hazardous Waste to Publicly Owned 

Treatment Works (the Domestic Sewage Study), EPA/530-SW-86-004, USEPA, 

Office of Water Regulations and Standards, Washington, DC, February 1986. 

159 

APPENDIX A 

2002 EMISSIONS 

Statewide 
Table A-1: Statewide Emissions 

Category co NH3 NOx PM10 PM2.5 S0

Point Sources 

External Fuel Combustion 

Electric Generation 

Coal 12,267.48 49.25 172,448.49 8,409.96 4,146.14 355,77

Distillate Oil 533.02 1.09 2,259.38 176.60 8,88

Natural Gas 1,438.69 32.64 2,955.80 70.59 53.29 45

Residual Oil 13.45 2.31 159.34 203.62 202.06 3,8

Industrial 

Coal 2,371.79 12.01 11,177.76 1,214.72 623.71 43,69

Distillate Oil 48.39 10.50 174.95 7.70 0.05 12

Natural Gas 3,806.03 243.20 6,508.08 503.62 492.15 23

Residual Oil 43.42 1.01 221.77 13.82 0.64 38

Other 1,285.23 1.06 2,350.77 222.37 76.52 1,72

Commercial/Institutional 

Coal 503.06 0.04 817.15 281.69 97.57 8,54

Distillate Oil 6.54 1.38 26.68 1.44 4

Natural Gas 1,159.63 13.66 2,365.70 122.10 122.26 5

Residual Oil 8.10 0.98 73.39 5.25 0.53 9

Other 232.14 0.06 54.32 2.91 0.00 90

Space Heating 

Distillate Oil 1.58 17.48 1.12 10.68 3

Natural Gas 85.03 18.92 246.29 6.07 0.07 

Other 1.18 9.00 0.01 

Internal Fuel Combustion 

Electric Generation 

Distillate Oil 162.00 0.99 673.23 24.75 0.44 4

Landfill Gas 858.95 572.95 8.63 2.49 7

Natural Gas 1,523.14 13.70 3,309.47 133.56 58.74 2

Industrial 

Diesel 5.05 0.38 24.21 0.54 

Distillate Oil 63.08 2.92 179.96 12.99 0.53 4

Natural Gas 3,617.94 18.52 20,009.81 184.31 62.70 

Other 42.18 86.57 0.52 

A-1 
Table A-1: Statewide Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Commercial/Institutional 

Distillate Oil 6.35 0.07 25.33 0.85 

Landfill Gas 366.65 259.38 23.00 16.10 

Natural Gas 94.01 0.70 173.58 3.57 3.07 

Other 2.42 0.01 

Engine Testing 

Diesel 70.76 355.20 8.99 0.22 

Distillate Oil 0.12 0.88 

Jet Fuel 0.55 1.18 

Landfill Gas 183.54 78.57 10.04 

Other 300.14 0.00 5.39 0.50 

Off-highway Engines 0.51 0.03 

Fugitives 47.57 12.07 0.01 

Industrial Processes 

Chemical Manufacturing 

Adhesives 

Fixed Roof Tanks 3.12 1.20 Floating Roof Tanks 

Ink 4.10 

Nitric Acid 645.90 264.94 7.42 

Paint 16.77 

Pharmaceuticals 0.12 0.16 10.14 

Phthalic Anhydride 98.63 90.24 6.52 6Plastics 0.53 5.14 21.63 88.57 Pressure Tanks 

Sulfuric Acid 0.05 3.65 1,3Synthetic Organic Fiber 0.88 Synthetic Rubber 105.99 

Varnish 0.39 

Other 1,322.41 100.31 360.51 853.86 47.47 11,2

Fuel Combustion 947.32 1.08 179.85 65.10 Fllgitives 25.76 1.73 

A-2 
Table A-1: Statewide Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Food/Agriculture 

Bakeries 5.59 0.00 27.30 22.30 

Beer 0.20 18.09 

Candy 0.72 7.28 

Feed Manufacturing 2.50 293.75 

Grain Elevators 4.36 32.17 4,142.63 10.46 

Milling 5,638.87 741.49 1,263.62 12.57 1,25

Smokehouses 8.14 1.30 7.60 Starch Manufacturing 12.89 15.32 156.20 

Vegetable Oil 55.18 

Other 5,243.35 0.10 162.46 1,120.27 16.90 56

Fuel Combustion 93.93 6.28 153.87 30.57 3Fugitives 0.00 4.31 

Primary Metal Production 

By-product Coke 1 '165.37 6.90 761.50 154.95 10.65 15

Copper 0.14 

Ferroalloy 0.13 0.06 67.17 

Iron 0.08 17.03 559.62 47.89 25

Steel 20,050.60 988.98 614.68 319.68 42

Zinc 61.50 

Other 0.07 2.02 4.96 

Fuel Combustion 26.36 0.47 63.82 3.40 0.08 Fugitives 1.97 

Secondary Metal Production 

Aluminum 49.74 0.24 61.08 146.86 0.46 

Copper 483.79 0.07 14.97 143.10 2.66 

Gray Iron 342.52 0.04 52.48 568.20 75.57 1

Heat Treating 20.64 28.74 0.34 

Lead 3.14 10.29 6.76 Lead Battery 17.12 

Nickel 0.00 

Steel 979.92 65.73 474.61 3.22 

Zinc 67.28 0.00 74.35 57.95 

A-3 
Table A-1: Statewide Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Other 6.92 0.01 19.92 87.07 13.96 

Fuel Combustion 1,485.36 6.28 268.80 39.95 2.02 Fugitives 11.85 7.95 15.03 

Mineral Products 

Asphalt Manufacturing 1,755.70 0.03 579.40 225.15 4

Asphalt Roofing 71.94 10.49 49.58 

Brick 96.59 36.24 51.85 Bulk Materials 0.16 0.72 530.38 

Cement Manufacturing 7,981.22 9,135.33 1,280.28 28.23 4,2Coal Mining 0.12 0.12 27.42 Concrete Manufacturing 0.36 1.10 2,749.15 

Glass Manufacturing 99.01 5,806.05 613.57 432.51 1,3

Mining 0.78 0.42 97.48 

Sand/Gravel 2.55 8.05 371.79 Stone Quarrying 16.66 24.98 1,486.57 0.29 Surface Mining 116.86 42.67 732.75 0.00 

Other 715.46 2,289.00 929.81 74.47 8,2

Fuel Combustion 43.23 4.67 124.39 6.54 Fugitives 30.46 

Petroleum Industry 

Cooling Towers 1,016.87 

Desulfurization 192.86 15.55 2

FCCU 1,279.37 9.53 4,237.17 1,261.91 1,148.49 31,8Flares 201.77 39.78 6

Process Heaters 2,462.33 27.52 6,151.51 301.23 142.12 1,2

Waste Water 0.36 0.01 0.35 1

Other 257.11 819.35 206.45 0.13 3,5

Fugitives 2,202.78 51.56 28.98 9,6

Paper and Wood Products 

Plywood 0.06 0.33 Pulpboard 5.70 

Woodworkir19_ 6.85 

A-4 
Table A-1: Statewide Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 502 

Other 6.60 7.25 90.99 

Fuel Combustion 2.11 0.07 2.53 0.18 

Fugitives 8.74 

Rubber and Plastic Products 

Plastic Foam 0.01 0.08 0.91 

Plastic Products 1.41 5.62 52.74 

Tire Manufacturing 55.38 44.33 120.08 

Other 1.28 0.72 31.31 

Fuel Combustion 2.03 0.14 5.54 0.42 

Fabricated Metal Products 

Drum Reclamation 0.36 0.00 0.70 2.68 

Plating 0.50 0.07 2.70 2.99 0.00 

Welding 8.72 

Other 49.96 0.11 130.68 106.58 1.95 1

Fuel Combustion 76.32 2.89 102.17 11.95 Fugitives 0.10 0.10 0.34 

Oil and Gas Production 

Crude Oil 

Natural Gas 75.91 34.37 0.55 23

Other 0.28 1.39 

Fuel Combustion 0.86 9.16 0.00 Fugitives 0.00 0.00 

Miscellaneous Machinery 4.19 2.79 2.74 

Electrical Equipment 1.80 0.01 2.75 2.14 

Transportation Equipment 0.60 0.77 1.80 

Health Services 

Crematories 28.31 1.55 0.22 

Sterilizers 

Leather and Leather Products 0.30 

Textile Products 0.10 1.38 2.01 

Process Cooling 254.59 13.72 

A-5 
Table A-1: Statewide Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

(te:tl !te:tl !te:tl (te:tl !te:tl !te

In-Process Fuel Use 

Coal 0.00 0.00 79.90 

Distillate Oil 12.49 229.40 0.97 0.94 

Landfill Gas 

Natural Gas 607.38 2.76 2,110.60 37.09 13.48 

Residual Oil 

Other 404.08 1,451.09 154.99 64.43 2,7

Miscellaneous Manufacturing 

Miscellaneous Manufacturing 70.31 0.11 160.11 31.52 

Fuel Combustion 505.43 0.25 277.98 115.88 5.20 4

Organic Solvent Emissions 

Organic Solvent Use 

Cold Cleaning 

Degreasing Dry Cleaning 

Other 

Fugitives 0.34 2.58 2.48 

Surface Coating Operations 

Adhesives 6.34 40.68 1.07 

Aircraft 0.70 

Automobiles 12.62 0.04 19.45 1.71 0.11 

Fabric Flatwood Products 

Glass 

Large Appliances 

Magnet Wire Metal Cans 4.81 5.74 2.59 Metal Coils 5.91 29.66 0.17 

Metal Furniture 0.68 2.16 1.23 Miscellaneous Metal Parts 0.70 1.71 18.87 0.13 

Ovens 84.58 2.53 536.50 14.75 2.65 

Paper 1.06 0.00 4.11 0.83 Plastic Parts 6.80 

A-6 
Table A-1: Statewide Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

(tE':tl (tE':tl (tE':tl (tE':zrl (tE':tl (tE'

Steel Drums 1.83 1.99 

Thinning Solvents 0.02 

Wood Furniture 0.06 0.07 1.39 

Other 9.24 20.58 30.98 0.06 

Fuel Combustion 98.65 0.42 47.38 0.03 Fugitives 2.11 6.23 10.21 

Petroleum Product Storage 

Fixed RoofTanks 2.89 2.64 18.73 3

Floating Roof Tanks 

Variable Vapor Space Tanks 0.07 0.04 

Fugitives 

Bulk Terminals/Plants 

Fixed Roof Tanks 1.07 0.01 4.23 

Floating Roof Tanks 1.79 

Losses 4.85 5.49 

Variable Vapor Space Tanks 

Printing/Publishing 

Cleanup 0.76 

Dryers 1.48 5.31 0.06 

Flexographic 1.21 1.62 

Letterpress 0.72 1.66 Lithographic 8.07 2.83 

Rotogravure 0.36 

Screen Printing 

Thinning Solvents 0.06 

Other 

Fugitives 0.20 0.20 55.94 

Petroleum Marketing/Transport 

Pipelines 

Stage I Stage II 

Tank Cars 1.62 2.09 Transportation 

Fu itives 0.11 

A-7 
Table A-1: Statewide Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Organic Chemical Storage 

Fixed Roof Tanks 0.01 0.11 7.06 0.13 

Floating Roof Tanks 0.20 

Pressure Tanks 

Organic Chemical Transport 0.06 0.06 Organic Solvent Evaporation 

Evaporation 0.11 0.11 11.69 

Other 0.44 0.58 4.26 5.89 

Fuel Combustion 195.44 122.62 5.55 

Solid Waste Disposal 

Government 

Incineration 8.74 0.36 5.30 

Landfills 1,148.69 568.56 111.66 

Sewage Treatment 40.95 14.19 

Other 0.03 

Fuel Combustion 0.00 0.05 

Commercial/Institutional 

Incineration 298.79 68.69 64.58 

Other 0.11 0.02 

Fuel Combustion 2.47 0.07 

Industrial 

Incineration 64.32 0.00 57.48 32.40 11.08 

Landfills 598.28 104.08 25.11 1.32 

TSDFs 0.56 

Other 1.96 3.14 7.60 

Fuel Combustion 0.43 8.62 

Site Remediation 

Air Stripping 

Soil Venting 9.31 5.81 

Other 1.08 1.10 16.46 

Point Source Total 91,885.09 621.78 267,813.83 36,575.15 8,466.72 507,0

A-8 
Table A-1: Statewide Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 50

Area Sources 

Agriculture 

Fertilizer 25,079.79 

Pesticide 

Tilling 382,703.10 76,540.40 

Aircraft Refueling Architectural Coating Asphalt Paving Automobile Refinishing 

Commercial Cooking 1,276.41 3,303.74 3,064.13 Construction 

Nonresidential 22,287.37 4,457.44 

Residential 4,004.81 800.90 Road 82,204.90 16,440.97 

Consumer Solvent Use 

Dry Cleaning 

Forest Fires 265.23 1.20 5.69 25.79 22.12 Fuel Combustion- Commercial/Institutional 

Natural Gas 7,863.60 41.50 8,953.00 701.55 682.23 5

D'1stillate Oil 171.64 26.83 830.35 82.87 75.16 1,37

Residual Oil 0.64 0.10 6.34 0.50 0.44 2

Kerosene 3.79 0.58 42.53 5.44 3.53 1LPG 38.44 283.96 18.52 18.52 

Fuel Combustion- Industrial 

Natural Gas 9,259.99 332.33 10,544.78 699.45 686.51 2

Distillate Oil 136.13 21.55 556.67 27.48 7.51 1,15Residual Oil 5.99 0.98 67.97 12.27 8.42 21

Coal 0.00 0.00 0.00 0.00 0.00 

Fuel Combustion- Residential 

Natural Gas 9,310.86 21,880.49 442.24 442.24 13

Distillate Oil 28.49 102.63 6.14 4.69 24

Kerosene 14.33 52.01 3.20 2.54 12

LPG 370.52 1,505.31 19.70 19.70 

A-9 
Table A-1: Statewide Emissions (continued) 

Category PM10 PM2.5 

t t 

Coal 

Wood 

Fireplaces 29,909.78 535.92 4,313.76 4,313.76 

Wood Stoves 23,858.23 289.44 3,203.30 3,203.30 

Gasoline Marketing 

Stage I 

Stage II 

Tank Truck Leaks 

Storage Tank Breathing 

Graphic Arts 

Incineration 5,262.80 1,594.59 2,576.23 1,754.01 1,

Industrial Surface Coating 

Marine Vessel Loading and Transport 

Open Burning 

Prescribed Burning 1,284.07 5.78 27.55 124.85 107.08 

Residential Household Waste 428.58 30.27 191.59 175.47 

Yard Waste 688.62 150.34 150.34 

Pavement Markings 

Portable Fuel Containers 

Commercial 

Residential 

Solvent Cleaning 

Structure Fires 445.60 10.42 80.20 72.99 

Waste Water Treatment 

POTWs 4,395.24 

Industrial 

Area Source Totals 94,116.61 29,905.87 47,435.56 507,268.11 113,102.63 5,2

On-road Mobile Sources 

HDDV 32,663.44 247.45 148,942.38 4,454.37 3,900.66 3,1

HDGV 84,857.13 172.62 19,624.04 392.92 286.78 4

LDDT 265.80 1.35 295.12 37.08 31.93 LDDV 155.36 0.64 139.74 22.87 19.99 

LDGT12 747,119.76 3,612.19 50,114.65 1,037.27 544.16 2,0

A-10 
Table A-1: Statewide Emissions (continued) 

Category PM10 PM2.5 

t t 

LDGT34 LDGV 

MC 

On-road Mobile Source Totals 

Off-road Mobile Sources 

Agricultural Equipment 

2-stroke 138.11 0.00 0.05 3.34 3.02 

4-stroke 22,529.16 0.05 533.19 2.28 2.02 

Diesel 22,501.43 22.05 38,920.53 4,542.59 4,179.14 65

Aircraft 

A PUs 256.31 160.72 2

Air Taxi 1,253.39 344.84 69.69 68.03 2

Commercial 6,035.54 8,721.83 223.93 218.53 55

General Aviation 11,408.77 709.52 210.57 205.53 

Military 647.66 169.31 10.56 10.30 

Airport Ground Support Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 602.03 0.01 33.58 0.22 0.19 

Diesel 280.49 0.34 603.77 44.47 40.90 

Commercial Equipment 

2-stroke 2,345.81 0.08 7.18 58.53 53.73 

4-stroke 180,120.14 4.02 3,426.25 57.04 52.35 

Diesel 2,448.38 1.58 3,623.72 453.39 417.15 

Construction Equipment 

2-stroke 2,532.28 0.05 19.46 69.82 64.05 

4-stroke 18,751.40 0.15 249.27 3.53 3.16 

Diesel 14,314.83 13.70 26,538.04 2,235.64 2,056.68 4

Construction and Mining Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 408.59 0.00 100.89 0.21 0.16 

Diesel 0.00 0.00 0.00 0.00 0.00 

A-11 
Table A-1: Statewide Emissions (continued) 

Category PM10 PM2.5 

t t 

Industrial Equipment 

2-stroke 30.04 0.00 0.06 0.70 0.62 

4-stroke 83,296.06 0.53 14,822.68 71.24 65.59 

Diesel 2,706.09 3.49 6,057.43 528.20 485.61 1

Lawn and Garden Equipment 

2-stroke 33,722.13 1.27 143.17 803.49 739.21 

4-stroke 360,078.89 9.32 4,562.04 113.53 104.39 1

Diesel 1,036.49 0.94 1,854.13 197.06 181.12 

Locomotives 8,389.16 35.44 76,176.43 2,104.30 1,935.97 5,1

Logging Equipment 

2-stroke 2.08 0.00 0.02 0.06 0.06 

4-stroke 4.73 0.00 0.05 0.00 0.00 

Diesel 0.51 0.00 1.63 0.11 0.10 

Marine Vessels 

Commercial 3,496.23 11.35 18,854.38 461.10 424.22 1,7

Recreational 

2-stroke 29,765.10 307.70 782.50 719.91 

4-stroke 24,923.60 837.20 9.20 8.46 

Diesel 136.90 847.70 22.00 20.25 1

Railroad Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 249.44 0.00 3.21 0.03 0.03 

Diesel 127.10 0.03 148.10 21.55 19.83 

Recreational Equipment 

2-stroke 17,001.51 2.30 133.85 203.92 187.65 

4-stroke 32,933.94 1.63 327.91 10.27 9.65 

Diesel 55.25 0.00 40.85 8.40 7.86 

Underground Mining Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 0.00 0.00 0.00 0.00 0.00 

Diesel 72.51 0.03 81.03 11.21 10.32 

Off-road Mobile Source Totals 884,602.08 108.36___1Q!l,361.72 13,334.68 12"295.81 9,3

A-12 
Table A-1: Statewide Emissions (continued) 

Category PM10 PM2.5 

t t 

Animal Husbandry 

Beef Cattle 8,778.29 

Chickens 1,907.61 

Dairy Callie 4,022.39 

Goats 76.03 

Hogs 26,672.14 

Horses 1,517.52 

Sheep 206.85 

Turkeys 999.91 

Animal Husband Totals 44,180.74 

Bio enic Sources 79,459.76 38,772.91 

Totals 

Point Source 91,885.09 621.78 267,813.83 36,575.15 8,466.72 507,09

Area Source 94,116.61 29,905.87 47,435.56 507,268.11 113,102.63 5,2

On-road Mobile 2,165,756.89 10,773.96 309,868.93 7,854.90 5,760.78 8,9Off-road Mobile 884,602.08 108.36 209,361.72 13,334.68 12,295.81 9,3

Animal Husbandry 44,180.74 

Biogenic 79,459.76 38,772.91 

Total 3,315,820.44 85,590.71 873,252.94 565,032.84 139,625.94 530,6

A-13 

APPENDIX B 

2002 EMISSIONS 

Chicago NAA 
Table B-1: Chicago NAA Emissions 

Category co NH3 NOx PM10 PM2.5 S0

Point Sources 

External Fuel Combustion 

Electric Generation 

Coal 3,083.61 11.69 28,133.10 3,185.28 1,453.85 61,7

Distillate Oil 3.06 0.40 43.18 0.90 

Natural Gas 1,084.49 20.43 2,100.20 35.49 18.61 4

Residual Oil 5.67 0.42 52.44 197.91 197.91 3,6

Industrial 

Coal 235.06 3,667.05 390.21 325.44 10,0

Distillate Oil 6.32 3.79 28.55 0.89 

Natural Gas 1,739.43 51.45 2,869.34 136.84 134.08 

Residual Oil 5.95 0.54 63.44 9.72 1

Other 294.71 790.95 40.18 1

Commercial/Institutional 

Coal 15.24 32.22 

Distillate Oil 2.88 0.43 10.09 0.78 

Natural Gas 538.58 5.41 1,056.69 54.10 54.10 

Residual Oil 4.82 0.60 53.68 3.60 0.53 

Space Heating 

Distillate Oil 0.01 0.01 0.08 10.68 

Natural Gas 32.45 1.67 65.48 2.31 0.07 

Other 0.06 0.40 0.01 

Internal Fuel Combustion 

Electric Generation 

Distillate Oil 113.69 0.40 426.89 19.22 

Landfill Gas 347.59 248.65 3.61 2.49 

Natural Gas 512.38 7.43 687.38 34.84 1.15 

Industrial 

Diesel 0.10 0.09 0.47 0.00 

Distillate Oil 6.86 0.10 39.10 3.37 0.50 

Natural Gas 218.35 1.06 946.02 44.73 19.05 

Other 1.31 12.64 0.03 

B-1 
Table B-1: Chicago NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

(tpy) (tpy) (tpy) (tpy) (tpy

Commercial/Institutional 

Distillate Oil 3.28 0.04 12.91 0.51 

Landfill Gas 208.35 171.54 16.10 16.10 

Natural Gas 91.68 0.55 170.81 3.36 3.07 

Other 2.42 0.01 

Engine Testing 

Diesel 20.95 109.23 5.17 0.22 

Distillate Oil 0.12 0.88 

Landfill Gas 183.54 78.57 10.04 

Other 300.13 5.23 0.50 

Off-highway Engines 0.51 0.03 

Industrial Processes 

Chemical Manufacturing 

Adhesives 

Fixed Roof Tanks 0.00 Floating Roof Tanks 

Ink 3.57 

Nitric Acid 0.04 

Paint 13.23 

Pharmaceuticals 0.12 0.16 4.14 Phthalic Anhydride 98.63 90.24 6.52 67Plastics 0.47 0.57 32.22 

Sulfuric Acid 0.05 0.37 

Synthetic Organic Fiber 0.88 

Synthetic Rubber 0.69 

Varnish 0.25 

Other 608.08 0.11 173.77 372.69 6,92

Fuel Combustion 26.79 0.83 61.32 13.03 

Fugitives 25.76 1.63 

Food/Agriculture 

Bakeries 4.90 0.00 23.39 6.89 

Beer 0.20 3.01 

Candy 0.69 6.61 

B-2 
Table B-1: Chicago NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 50

Feed Manufacturing 2.87 

Grain Elevators 0.24 1.03 94.70 

Milling 4.01 2.26 186.03 

Smokehouses 1.90 1.30 2.81 

Starch Manufacturing 12.89 15.32 60.69 

Vegetable Oil 25.90 

Other 8.78 0.00 29.17 170.90 4

Fuel Combustion 29.20 1.48 37.95 3.92 Fugitives 

Primary Metal Production 

By-product Coke 1 '149.62 0.00 758.38 119.49 1

Ferroalloy 

Iron 0.08 0.43 33.30 

Steel 5,960.65 214.54 97.57 38.54 1

Other 1.65 1.71 

Fuel Combustion 15.20 0.15 45.48 2.43 

Secondary Metal Production 

Aluminum 32.79 0.02 30.94 73.16 0.40 

Copper 1.40 0.01 2.30 41.44 

Gray Iron 1.42 0.85 11.38 

Heat Treating 20.42 22.70 

Lead 2.37 3.07 1.25 Lead Battery 10.98 

Nickel 0.00 

Steel 925.46 22.86 130.22 

Zinc 66.31 67.39 24.23 

Other 5.82 0.01 14.26 9.62 

Fuel Combustion 92.09 2.54 118.60 18.08 0.08 

Fugitives 11.83 7.88 13.67 

Mineral Products 

Asphalt Manufacturing 849.22 130.58 83.23 

Asphalt Roofing 69.15 9.00 48.69 

Brick 0.12 

B-3 
Table B-1: Chicago NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 50

. 

----

Bulk Materials 0.00 301.00 

Cement Manufacturing 84.97 

Coal Mining 0.02 Concrete Manufacturing 1,106.70 

Glass Manufacturing 23.35 1,051.49 200.65 147.47 36

Mining 39.49 

Sand/Gravel 1.44 3.30 155.51 Stone Quarrying 445.75 Surface Mining 41.12 

Other 608.20 1,652.77 282.92 2,17

Fuel Combustion 4.31 1.75 5.25 0.38 

Fugitives 3.25 

Petroleum Industry 

Cooling Towers 11.18 

Desulfurization 192.86 15.55 24

FCCU 951.45 2,825.63 446.78 333.36 20,24Flares 2.66 1.78 14

Process Heaters 625.74 27.23 1,946.58 80.22 12

Waste Water 1

Other 193.40 813.50 29.60 3,40

Fugitives 2,180.35 26.96 28.98 9,39

Paper and Wood Products 

Plywood 

Pulpboard 1.57 

Woodworking 3.04 

Other 29.57 

Fuel Combustion 2.04 0.07 2.44 0.18 Fugitives 0.26 

Rubber and Plastic Products 

Plastic Foam 0.59 

Plastic Products 1.15 3.63 12.05 

Tire Manufacturing 

Other 1.28 0.29 8.46 

Fuel Combustion 1.41 0.04 1.88 0.13 

B-4 
Table B-1: Chicago NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

( (tpy) (tpy) (tpy) (tpy) (tp

Fabricated Metal Products 

Drum Reclamation 0.14 0.44 2.66 

Plating 0.50 0.07 2.60 0.13 

Welding 0.38 

Other 35.91 0.11 114.64 45.67 1.94 

Fuel Combustion 38.22 1.15 52.20 4.97 Fugitives 0.10 0.10 0.34 

Oil and Gas Production 

Fuel Combustion 3.42 

Fugitives 0.00 0.00 

Miscellaneous Machinery 0.55 2.09 1.97 

Electrical Equipment 1.71 0.01 2.45 0.07 

Transportation Equipment 

Health Services 

Crematories 8.68 

Sterilizers 

Leather and Leather Products 0.30 

Textile Products 0.91 2.01 

Process Cooling 244.76 

In-Process Fuel Use 

Coal 79.90 

Distillate Oil 10.46 216.53 0.94 0.94 

Landfill Gas 

Natural Gas 298.47 0.08 394.06 2.80 

Residual Oil 

Other 4.63 42.83 2.67 

Miscellaneous Manufacturing 

Miscellaneous Manufacturing 18.49 0.11 1.81 26.83 

Fuel Combustion 123.21 0.11 43.03 10.80 

Organic Solvent Emissions 

Organic Solvent Use 

Cold Cleaning 0.10 

Degreasing 

B-5 
Table B-1: Chicago NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

(tpy) 

Dry Cleaning 

Fugitives 2.48 2.48 

Surface Coating Operations 

Adhesives 6.34 40.68 0.99 

Aircraft 0.10 Automobiles 5.28 0.04 1.98 0.11 0.11 

Fabric Flatwood Products 

Glass 

Large Appliances 

Magnet Wire Metal Cans 0.01 2.59 Metal Coils 0.76 2.09 0.04 Metal Furniture 0.68 2.16 0.74 Miscellaneous Metal Parts 0.19 0.74 4.62 0.13 

Ovens 49.85 0.92 478.47 9.62 2.65 

Paper 0.34 0.00 0.61 0.05 Plastic Parts 1.04 

Steel Drums 1.83 1.73 

Thinning Solvents 

Wood Furniture 0.06 0.07 0.29 

Other 1.26 8.91 11.13 

Fuel Combustion 91.06 0.20 38.23 0.01 Fugitives 10.12 

Petroleum Product Storage 

Fixed Roof Tanks 2.46 2.64 18.62 

Floating Roof Tanks 

Variable Vapor Space Tanks 

Fugitives 

Bulk Terminals/Plants 

Fixed Roof Tanks 1.07 0.01 4.23 

Floating Roof Tanks 1.79 

Losses 2.47 0.28 

Variable Vapor Space Tanks 

B-6 
Table B-1: Chicago NAA Emissions (continued) 

Category PM10 PM2.5 

t t 

Commercial/Institutional 

Incineration 164.85 18.59 32.34 

Other 0.11 0.02 

Fuel Combustion 2.47 0.04 

Industrial 

Incineration 41.09 43.17 22.68 

Landfills 278.51 39.49 2.74 1.32 

TSDFs 0.22 

Other 0.47 0.47 7.49 

Fuel Combustion 0.43 8.62 

Site Remediation 

Air Stripping 

Soil Venting 7.55 3.54 

Other 1.08 1.10 0.45 

Point Source Total 25,632.13 143.70 54,049.62 9,847.66 2,756.61 121,5

Area Sources 

Agriculture 

Fertilizer • 953.61 

Pesticide 

Tilling 14,527.02 2,905.37 

Aircraft Refueling Architectural Coating Asphalt Paving Automobile Refinishing 

Commercial Cooking 851.39 2,206.26 2,046.39 Construction 

Nonresidential 10,720.06 2,144.01 

Residential 2,678.49 535.70 Roads 54,805.17 10,961.04 

Consumer Solvent Use 

Dry Cleaning 

Forest Fires 17.07 0.08 0.37 1.66 1.42 

B-8 
Table B-1: Chicago NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Printing/Publishing 

Cleanup 0.76 

Dryers 1 .48 3.64 0.06 

Flexographic 1.21 1.62 

Letterpress 0.72 1.66 Lithographic 2.22 2.83 

Rotogravure 0.36 

Screen Printing 

Thinning Solvents 0.06 

Other 

Fugitives 0.20 0.20 0.25 

Petroleum Marketing/Transport 

Stage I 

Stage II 

Tank Cars 0.57 1.57 Transportation 

Fugitives 0.11 

Organic Chemical Storage 

Fixed Roof Tanks 

Floating Roof Tanks 0.20 

Pressure Tanks 

Organic Chemical Transport 0.06 0.06 Organic Solvent Evaporation 

Evaporation 0.10 0.10 

Other 0.03 0.18 4.58 

Fuel Combustion 188.34 122.09 5.55 

Solid Waste Disposal 

Government 

Incineration 5.59 4.13 

Landfills 381.78 196.09 11.82 

Sewage Treatment 0.07 0.13 

Other 0.03 

Fuel Combustion 0.00 0.05 

B-7 
Table B-1: Chicago NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

(tpy) (tpy) (tpy) (tpy) (tpy) (tp

Pavement Markings Portable Fuel Containers 

Commercial 

Residential 

Solvent Cleaning Structure Fires 281.20 6.56 50.61 46.06 

Waste Water Treatment 

POTWs 2,444.63 

Industrial 

Area Source Totals 34,239.48 3,708.77 32,325.06 89,302.14 22,356.04 3,2

On-road Mobile Sources 

HDDV 17,892.62 136.74 85,647.46 2,430.56 2,125.44 1,7

HDGV 40,433.16 95.39 10,637.08 209.86 152.41 1

LOOT 118.38 0.75 147.08 17.80 15.17 

LDDV 83.00 0.35 72.37 12.03 10.49 LDGT12 328,567.73 2,011.28 24,530.60 544.47 273.25 7

LDGT34 124,062.84 679.62 10,512.92 191.18 97.03 3

LDGV 463,060.62 3,058.44 35,472.76 799.97 388.64 8

MC 5,000.78 4.39 599.46 14.55 8.15 

On-road Mobile Source Totals 979,219.14 5,986.95 167,619.73 4,220.42 3,070.58 3,8

Off-road Mobile Sources 

Agricultural Equipment 

2-stroke 5.20 0.00 0.00 0.12 0.11 

4-stroke 839.07 0.00 18.15 0.05 0.05 

Diesel 796.00 0.79 1,377.00 160.67 147.83 

Aircraft 

A PUs 256.31 160.72 

Air Taxi 453.90 291.52 53.62 52.33 

Commercial 5,873.49 8,559.78 216.65 211.45 5

General Aviation 5,205.80 661.62 97.63 95.29 

Military 29.38 14.72 1.23 1.20 

B-1 0 
Table B-1: Chicago NAA Emissions (continued) 

Category NH3 NOx PM10 PM2.5 50

tpy) (tpy) (tpy) (tpy) (tpy

Fuel Combustion- Commercial/Institutional 

Natural Gas 5,901.60 31.64 6,823.13 533.51 522.37 4

Distillate Oil 125.53 19.94 606.51 60.19 54.59 1,0

Residual Oil 0.30 0.05 3.01 0.36 0.32 

Kerosene 2.79 0.43 31.03 4.02 2.62 LPG 28.11 207.21 13.42 13.42 

Fuel Combustion- Industrial 

Natural Gas 6,607.35 243.12 7,688.54 489.77 489.69 

Distillate Oil 95.30 14.84 385.27 18.87 5.00 7Residual Oil 0.19 0.03 2.32 0.31 0.21 

Coal 0.00 0.00 0.00 0.00 0.00 

Fuel Combustion- Residential 

Natural Gas 6,366.42 14,961.12 302.40 302.40 

Distillate Oil 11.47 41.33 2.48 1.90 

Kerosene 5.77 20.94 1.31 1.00 LPG 68.41 277.97 3.65 3.65 

Coal 2,401.80 79.48 54.16 33.18 1

Wood 

Fireplaces 3,993.71 87.67 600.83 600.83 

Wood Stoves 3,873.87 47.01 520.11 520.11 

Gasoline Marketing 

Stage I 

Stage II 

Tank Truck Leaks 

Storage Tank Breathing 

Graphic Arts 

Incineration 3,508.72 1,053.37 1,696.11 1,154.80 9Industrial Surface Coating 

Marine Vessel Loading and Transport 

Open Burning 

Prescribed Burning 90.99 0.41 1.95 8.85 7.59 

Residential Household Waste 3.93 0.28 1.76 1.61 

Yard Waste 3.54 0.78 0.78 

B-9 
Table B-1: Chicago NAA Emissions (continued) 

Category PM10 PM2.5 

t 

Airport Ground Support Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 561.01 0.01 31.18 0.22 0.19 

Diesel 260.55 0.34 560.84 41.32 38.02 

Commercial Equipment 

2-stroke 1,705.15 0.08 5.16 41.91 38.52 

4-stroke 130,587.56 3.60 2,427.18 42.53 39.14 

Diesel 1,748.94 1.51 2,587.53 325.50 299.51 

Construction Equipment 

2-stroke 1,714.07 0.05 12.64 46.47 42.72 

4-stroke 12,656.71 0.15 166.19 3.27 2.96 

Diesel 9,493.90 11.38 17,595.54 1,487.60 1,368.60 

Construction and Mining Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 271.67 0.00 67.95 0.21 0.16 

Diesel 0.00 0.00 0.00 0.00 0.00 

Industrial Equipment 

2-stroke 20.76 0.00 0.06 0.52 0.47 

4-stroke 55,880.72 0.51 9,978.15 48.99 45.09 

Diesel 1,779.47 2.88 3,973.90 348.69 320.75 

Lawn and Garden Equipment 

2-stroke 25,220.54 1.15 107.14 595.73 548.00 

4-stroke 267,876.86 7.23 3,206.95 81.30 74.88 

Diesel 818.57 0.86 1 ,464.35 156.06 143.51 

Locomotives 3,284.45 13.73 29,991.82 822.68 756.86 1,9Logging Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 0.00 0.00 0.00 0.00 0.00 

Diesel 0.00 0.00 0.00 0.00 0.00 

B-11 
Table B-1: Chicago NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

(tpy) (tpy) (tpy) (tpy) (tpy) (tp

Marine Vessels 

Commercial 379.27 1.16 2,111.37 58.02 53.38 2

Recreational 

2-stroke 20,707.90 214.60 544.85 501.26 

4-stroke 23,509.80 789.70 9.20 8.46 

Diesel 129.75 799.65 21.95 20.20 

Railroad Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 162.56 0.00 2.27 0.03 0.03 

Diesel 81.42 0.03 94.75 14.12 12.97 

Recreational Equipment 

2-stroke 2,500.17 0.19 14.78 4.09 3.77 

4-stroke 13,338.73 0.64 124.27 4.07 3.72 

Diesel 20.11 0.00 14.76 3.14 2.86 

Underground Mining Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 0.00 0.00 0.00 0.00 0.00 

Diesel 0.00 0.00 0.00 0.00 0.00 

Off-road Mobile Source Totals 588,169.79 46.29 87,426.24 5,232.44 4,834.30 3,7

Animal Husbandry 

Beef Cattle 282.71 

Chickens 172.08 

Dairy Cattle 248.16 

Goats 1.79 

Hogs 461.86 Horses 243.98 

Sheep 4.88 

Turkeys 0.08 

Animal Husbandry Totals 1,415.55 

B-12 
Table B-1: Chicago NAA Emissions (continued) 

Category PM10 PM2.5 

t t 

Bio enic Sources 

Totals 

Point Source 25,632.13 143.70 54,049.62 9,847.66 2,756.61 121,

Area Source 34,239.48 3,708.77 32,325.06 89,302.14 22,356.04 3,

On-road Mobile 979,219.14 5,986.95 167,619.73 4,220.42 3,070.58 3,Off-road Mobile 588,169.79 46.29 87,426.24 5,232.44 4,834.30 3,

Animal Husbandry 1,415.55 

Biogenic 4,188.44 1,682.52 

Total 1,631 ,448.97 11,301.27 343,103.17 108,602.66 33,017.54 132,

B-13 

APPENDIX C 

2002 EMISSIONS 

Metro-East NAA 
Table C-1: Metro-East NAA Emissions 

Category co NH3 NOx PM10 PM2.5 S0

Point Sources 

External Fuel Combustion 

Electric Generation 

Coal 2,160.76 2.38 24,712.01 2,247.72 1,099.98 33,5

Distillate Oil 0.02 0.00 0.13 0.00 

Natural Gas 20.16 3.30 136.88 1.51 1.14 

Industrial 

Distillate Oil 2.77 0.40 11.00 0.59 0.05 

Natural Gas 176.74 3.83 303.70 13.59 11.02 

Residual Oil 36.22 0.12 143.94 3.20 0.63 1

Other 843.55 0.63 1,255.60 161.68 68.70 1,6

Commercial/Institutional 

Distillate Oil 0.26 0.04 1.15 0.05 

Natural Gas 61.26 3.31 180.15 9.46 9.46 

Residual Oil 

Other 227.63 41.72 0.00 0.00 9

Space Heating 

Natural Gas 0.05 0.00 0.27 0.00 

Internal Fuel Combustion 

Electric Generation 

Distillate Oil 4.67 0.02 36.99 0.98 

Landfill Gas 124.00 68.96 

Natural Gas 8.16 0.04 37.20 0.27 

Industrial 

Diesel 0.29 0.00 1.27 0.02 

Distillate Oil 2.69 12.49 0.87 0.03 

Natural Gas 1.06 0.00 1.38 0.08 

Other 0.26 4.51 0.07 

Commercial/Institutional 

Distillate Oil 0.65 0.00 1.99 0.01 

Engine Testing 

Jet Fuel 0.33 0.90 

Fugitives 0.14 0.53 0.01 

C-1 
Table C-1: Metro-East NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Industrial Processes 

Chemical Manufacturing 

Fixed Roof Tanks 

Floating Roof Tanks 

Ink 

Paint 0.00 Plastics 

Sulfuric Acid 3.28 1,3

Varnish 

Other 3.28 10.64 10.90 19.09 2

Fuel Combustion 0.08 0.00 0.16 

Fugitives 

Food/Agriculture 

Bakeries 0.41 3.27 2.88 

Feed Manufacturing 21.97 

Grain Elevators 118.08 

Milling 3.09 

Other 0.38 0.16 6.75 

Fugitives 3.84 

Primary Metal Production 

By-product Coke 15.75 6.90 3.12 30.49 10.65 

Copper 0.14 

Ferroalloy 

Iron 16.60 516.04 47.89 2

Steel 12,296.97 164.55 440.45 243.37 

Zinc 61.50 

Other 0.07 0.37 0.10 

Fuel Combustion 0.24 0.01 1.03 0.09 

Fugitives 1.97 

Secondary Metal Production 

Aluminum 0.09 0.69 1.18 0.06 

Copper 482.21 0.06 12.45 65.19 2.66 

Gr"l'_lron 0.11 2.19 72.18 

C-2 
Table C-1: Metro-East NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Lead 0.77 6.49 5.46 

Steel 0.10 12.40 63.79 

Zinc 2.94 

Other 0.03 0.54 70.40 13.96 

Fuel Combustion 1,332.86 0.92 54.54 2.47 1.56 Fugitives 0.02 0.07 0.00 

Mineral Products 

Asphalt Manufacturing 37.51 10.71 10.58 

Brick 2.52 9.24 0.76 

Bulk Materials 0.01 46.86 

Concrete Manufacturing 0.36 1.10 167.01 

Mining 10.71 

Sand/Gravel 2.87 Stone Quarrying 47.52 Surface Mining 22.49 0.00 

Other 27.13 

Fuel Combustion 3.23 0.48 29.16 0.04 Fugitives 0.42 

Petroleum Industry 

Cooling Towers 891.86 

FCCU 0.04 9.53 1,060.68 672.23 672.23 11,5Flares 196.41 36.13 5

Process Heaters 1,197.96 0.28 3,153.30 126.38 47.71 1,0

Waste Water 0.35 0.01 0.04 

Other 46.73 176.02 0.13 

Fugitives 

Paper and Wood Products 

Pulpboard 

Woodworking 1.75 

Other 0.39 

Fuel Combustion 

Rubber and Plastic Products 

Plastic Products 0.09 

C-3 
Table C-1: Metro-East NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Fabricated Metal Products 

Plating 0.00 

Welding 1.28 

Other 0.40 0.81 0.41 0.01 

Oil and Gas Production 

Natural Gas 0.08 0.43 

Fuel Combustion 0.43 3.60 

Miscellaneous Machinery 0.03 0.20 

Transportation Equipment 

Health Services 

Crematories 0.35 

Sterilizers 

Leather and Leather Products 

Textile Products 

Process Cooling 

In-Process Fuel Use 

Coal 0.00 0.00 0.00 

Natural Gas 126.21 1.21 1,246.51 18.60 13.02 

Other 354.74 1,375.52 145.68 64.43 2,7

Miscellaneous Manufacturing 

Miscellaneous Manufacturing 0.10 0.10 0.47 

Fuel Combustion 228.52 140.79 52.94 5.20 2

Organic Solvent Emissions 

Organic Solvent Use 

Cold Cleaning 

Degreasing Dry Cleaning 

Fugitives 

Surface Coating Operations 

Adhesives 

Automobiles 

Magnet Wire 

C-4 
Table C-1: Metro-East NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Metal Coils 3.71 25.86 Miscellaneous Metal Parts 

Ovens 2.02 0.00 2.42 0.01 

Paper 0.78 

Thinning Solvents 

Other 0.05 

Fuel Combustion 1.06 0.00 1.45 Fugitives 

Petroleum Product Storage 

Fixed Roof Tanks 0.43 0.11 

Floating Roof Tanks 

Variable Vapor Space Tanks 0.07 0.04 

Fugitives 

Bulk Terminals/Plants 

Fixed Roof Tanks 

Floating Roof Tanks 

Losses 

Printing/Publishing 

Cleanup 

Flexographic 

Lithographic 

Rotogravure 

Other 

Petroleum Marketing/Transport 

Stage I 

Tank Cars 1.05 0.52 Transportation 

Fugitives 

Organic Chemical Storage 

Fixed Roof Tanks 0.01 0.50 0.12 

Floating Roof Tanks 

Pressure Tanks 

C-5 
Table C-1: Metro-East NAA Emissions (continued) 

Category PM10 PM2.5 

t t 

Organic Solvent Evaporation 

Evaporation 

Other 0.41 4.08 1.09 

Solid Waste Disposal 

Government 

Landfills 69.97 61.70 0.54 

Commercial/Institutional 

Incineration 10.45 6.80 2.31 

Fuel Combustion 0.03 

Industrial 

Incineration 5.06 0.00 12.62 7.90 

Landfills 237.06 26.82 4.33 

TSDFs 0.23 

Other 

Site Remediation 

Air Stripping 

Soil Venting 

Other 5.40 

Point Source Total 20,332.44 44.19 34,453.30 6,401.28 2,313.93 54,5

Area Sources 

Agriculture 

Fertilizer 585.36 

Pesticide 

Tilling 9,355.63 1,871.09 

Aircraft Refueling Architectural Coating Asphalt Paving Automobile Refinishing 

Commercial Cooking 52.03 134.57 124.87 Construction 

Nonresidential 854.05 170.82 

Residential 203.23 40.65 Roads 4,479.06 895.82 

C-6 
Table C-1: Metro-East NAA Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

(t[ly) (t[ly) (t[ly) (t[ly) (t[ly) (t[l

Consumer Solvent Use 

Dry Cleaning 

Forest Fires 10.96 0.05 0.24 1.07 0.91 Fuel Combustion- Commercial/Institutional 

Natural Gas 266.84 1.38 275.67 20.10 19.10 

Distillate Oil 5.78 0.95 28.00 2.81 2.53 Residual Oil 0.04 0.01 0.44 0.02 0.02 

Kerosene 0.13 0.02 1.43 0.18 0.12 LPG 1.30 9.60 0.62 0.62 

Fuel Combustion- Industrial 

Natural Gas 337.15 9.81 376.16 22.02 21.80 

Distillate Oil 1.00 0.73 4.02 0.30 0.24 Residual Oil 0.14 0.02 1.67 0.21 0.14 

Coal 0.00 0.00 0.00 0.00 0.00 

Fuel Combustion- Residential 

Natural Gas 371.82 873.77 17.66 17.66 

Distillate Oil 2.38 8.58 0.51 0.39 

Kerosene 1.20 4.34 0.27 0.21 LPG 23.05 93.64 1.22 1.22 

Coal 18.62 0.62 0.42 0.25 

Wood 

Fireplaces 1,849.24 38.46 366.49 366.49 

Wood Stoves 2,605.17 31.60 349.79 349.79 

Gasoline Marketing 

Stage I 

Stage II 

Tank Truck Leaks 

Storage Tank Breathing 

Graphic Arts 

Incineration 225.36 68.55 112.22 76.40 Industrial Surface Coating 

Marine Vessel Loading and Transport 

C-7 
Table C-1: Metro-East NAA Emissions (continued) 

Category PM10 PM2.5 

t t 

Open Burning 

Prescribed Burning 58.30 0.26 1.25 5.67 4.86 

Residential Household Waste 4.79 0.34 2.14 1.96 

Yard Waste 11.36 2.47 2.47 

Pavement Markings Portable Fuel Containers 

Commercial 

Residential 

Solvent Cleaning 

Structure Fires 20.53 0.47 3.70 3.36 

Waste Water Treatment 

POTWs 251.24 

Industrial 

Area Source Totals 5,867.20 849.83 1,818.84 15,936.41 3,973.79 1

On-road Mobile Sources 

HDDV 1,846.84 13.44 7,638.71 245.65 215.44 

HDGV 5,131.41 9.37 1,063.58 220.20 16.29 

LDDT 15.26 0.07 16.51 2.10 1.81 

LDDV 8.89 0.03 7.90 1.36 1.20 LDGT12 40,415.81 195.18 2,740.88 59.81 33.01 

LDGT34 16,392.64 65.26 1 '178.85 21.87 12.32 

LDGV 50,421.28 299.40 3,689.39 84.70 44.28 1

MC 538.35 0.43 54.07 1.45 0.82 

On-road Mobile Source Totals 114,770.47 583.19 16,389.90 439.14 325.17 6Off-road Mobile Sources 

Agricultural Equipment 

2-stroke 3.88 0.00 0.00 0.08 0.07 

4-stroke 638.78 0.00 14.65 0.05 0.05 

Diesel 634.30 0.63 1,097.12 128.03 117.83 

Aircraft 

A PUs 0.00 0.00 0.00 0.00 

Air Taxi 63.21 4.22 1.27 1.24 

Commercial 0.61 0.61 0.03 0.03 

C-8 
Table C-1: Metro-East NAA Emissions (continued) 

Category PM10 PM2.5 

t t 

General Aviation 

Military 

Airport Ground Support Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 18.87 0.00 1.10 0.00 0.00 

Diesel 9.14 0.00 19.70 1.45 1.33 

Commercial Equipment 

2-stroke 57.51 0.00 0.20 1.51 1.36 

4-stroke 4,481.31 0.06 87.82 1.48 1.36 

Diesel 62.98 0.02 93.10 11.65 10.74 

Construction Equipment 

2-stroke 75.76 0.00 0.65 2.18 2.01 

4-stroke 569.42 0.00 7.84 0.05 0.04 

Diesel 447.59 0.42 829.80 69.82 64.31 

Construction and Mining Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 12.79 0.00 3.18 0.00 0.00 

Diesel 0.00 0.00 0.00 0.00 0.00 

Industrial Equipment 

2-stroke 0.81 0.00 0.00 0.02 0.02 

4-stroke 2,308.16 0.00 414.85 1.94 1.77 

Diesel 91.48 0.11 201.16 17.96 16.48 

Lawn and Garden Equipment 

2-stroke 1,284.74 0.03 5.77 31.63 29.09 

4-stroke 12,071.49 0.36 188.95 4.76 4.37 

Diesel 36.70 0.02 65.61 6.97 6.39 

Locomotives 140.00 0.61 1,261.72 35.24 32.42 

Logging Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 0.00 0.00 0.00 0.00 0.00 

Diesel 0.00 0.00 0.00 0.00 0.00 

C-9 
Table C-1: Metro-East NAA Emissions (continued) 

Category PM10 PM2.5 

t t 

Marine Vessels 

Commercial 562.35 1.78 2,978.71 70.46 64.82 2

Recreational 

2-stroke 598.15 6.16 15.72 14.47 

4-stroke 101.96 3.35 0.00 0.00 

Diesel 0.62 3.45 0.00 0.00 

Railroad Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 11.19 0.00 0.18 0.00 0.00 

Diesel 5.87 0.00 6.84 1.04 0.95 

Recreational Equipment 

2-stroke 257.30 0.01 1.82 0.08 0.08 

4-stroke 2,558.10 0.09 24.01 0.73 0.68 

Diesel 2.48 0.00 1.84 0.38 0.35 

Underground Mining Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 0.00 0.00 0.00 0.00 0.00 

Diesel 0.00 0.00 0.00 0.00 0.00 

Off-road Mobile Source Totals 28,305.56 4.14 7,411.29 425.35 392.57 3

Animal Husbandry 

Beef Cattle 168.37 

Chickens 85.36 

Dairy Cattle 66.80 

Goats 1.27 

Hogs 659.13 Horses 59.31 

Sheep 3.44 

Turkeys 0.07 

Animal Husband Totals 1,043.74 

C-10 
Table C-1: Metro-East NAA Emissions (continued) 

Category PM10 PM2.5 

t t 

Bio enic Sources 

Totals 

Point Source 20,332.44 44.19 34,453.30 6,401.28 2,313.93 54,5

Area Source 5,867.20 849.83 1,818.84 15,936.41 3,973.79 1

On-road Mobile 114,770.47 583.19 16,389.90 439.14 325.17 6Off-road Mobile 28,305.56 4.14 7,411.29 425.34 392.57 3

Animal Husbandry 1,043.74 

Biogenic 2,517.50 956.03 

Total 171,793.17 2,525.09 61,029.36 23,202.16 7,005.47 55,7

C-11 

APPENDIX D 

2002 EMISSIONS 

Attainment Area 
Table D-1: Attainment Area Emissions 

Category NH3 NOx PM10 PM2.5 S0

tpy) (tpy) (tpy) (tpy) (tp

Point Sources 

External Fuel Combustion 

Electric Generation 

Coal 7,023.11 35.17 119,603.38 2,976.96 1,592.30 260,5

Distillate Oil 529.94 0.68 2,216.06 175.69 8,8

Natural Gas 334.04 8.90 718.71 33.59 33.54 

Residual Oil 7.78 1.89 106.90 5.71 4.15 1

Industrial 

Coat 2,136.73 12.01 7,510.71 824.51 298.27 33,6

Distillate Oil 39.29 6.29 135.40 6.22 

Natural Gas 1,889.85 187.91 3,335.04 353.19 347.04 1

Residual Oil 1.25 0.35 14.39 0.90 0.01 

Other 146.97 0.43 304.21 20.50 7.82 

Commercial/Institutional 

Coat 487.82 0.04 784.93 281.69 97.57 8,4

Distillate Oil 3.39 0.90 15.43 0.60 

Natural Gas 559.77 4.93 1,128.85 58.52 58.68 

Residual Oil 3.27 0.38 19.71 1.65 

Other 4.51 0.06 12.60 2.91 

Space Heating 

Distillate Oil 1.57 17.47 1.04 0.00 

Natural Gas 52.53 17.25 180.54 3.74 

Other 1.12 8.60 

Internal Fuel' Combustion 

Electric Generation 

Distillate Oil 43.64 0.57 209.35 4.54 0.44 

Landfill Gas 387.36 255.34 5.02 

Natural Gas 1,002.59 6.22 2,584.89 98.44 57.59 

Industrial 

Diesel 4.66 0.28 22.47 0.51 

Distillate Oil 53.53 2.82 128.37 8.75 

Natural Gas 3,398.52 17.45 19,062.41 139.54 43.65 

Other 40.61 69.42 0.42 

D-1 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 50

(tpy) (tpy) (tpy) 

Commercial/Institutional 

(tpy) (tpy) (tpy

Distillate Oil 2.42 0.02 10.43 0.32 

Landfill Gas 158.30 87.84 6.90 

Natural Gas 2.33 0.15 2.77 0.21 

Engine Testing 

Diesel 49.81 245.97 3.82 

Jet Fuel 0.22 0.28 

Other 0.01 0.00 0.16 0.00 

Fugitives 47.43 11.54 

Industrial Processes 

Chemical Manufacturing 

Adhesives 

Fixed Roof Tanks 3.12 1.20 

Ink 0.53 

Nitric Acid 645.90 264.90 7.42 

Paint 3.54 Pharmaceuticals 6.00 Plastics 0.06 5.14 21.06 56.35 Pressure Tanks 

Synthetic Organic Fiber 0.00 Synthetic Rubber 105.30 

Varnish 0.14 

Other 711.05 89.56 175.84 462.07 47.47 4,04

Fuel Combustion 920.45 0.24 118.37 52.07 Fugitives 0.10 

Food/Agriculture 

Bakeries 0.28 0.64 12.53 

Beer 15.08 

Candy 0.03 0.67 

Feed Manufacturing 2.50 268.90 

Grain Elevators 4.12 31.14 3,929.84 10.46 

Milling 5,634.86 739.23 1,074.49 12.57 1,18

Smokehouses 6.24 4.79 

D-2 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

Starch Manufacturing 95.51 

Vegetable Oil 29.28 

Other 5,234.19 0.10 133.13 942.62 16.90 

Fuel Combustion 64.73 4.79 115.92 26.65 Fugitives 0.00 0.47 

Primary Metal Production 

By-product Coke 4.97 

Ferroalloy 0.13 0.06 67.17 

Iron 10.27 

Steel 1,792.98 609.88 76.66 37.77 2

Other 3.15 

Fuel Combustion 10.92 0.30 17.31 0.87 0.08 

Secondary Metal Production 

Aluminum 16.86 0.22 29.45 72.52 

Copper 0.18 0.22 36.47 

Gray Iron 340.99 0.04 49.43 484.63 75.57 

Heat Treating 0.22 6.04 0.34 

Lead 0.73 0.04 Lead Battery 6.13 

Steel 54.36 30.46 280.59 3.22 

Zinc 0.97 0.00 6.96 30.78 

Other 1.07 5.11 7.04 

Fuel Combustion 60.40 2.81 95.65 19.40 0.38 Fugitives 1.36 

Mineral Products 

Asphalt Manufacturing 868.96 0.03 438.11 131.34 4

Asphalt Roofing 2.79 1.49 0.89 

Brick 94.07 27.00 50.97 

Bulk Materials 0.15 0.72 182.51 

Cement Manufacturing 7,981.22 9,135.33 1,195.30 28.23 4,2Coal Mining 0.12 0.12 27.40 Concrete Manufacturing 1,475.42 

Glass Manufacturing 75.66 4,754.56 412.92 285.04 9

D-3 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

------

Mining 0.78 0.42 47.27 

Sand/Gravel 1.11 4.75 213.40 Stone Quarrying 16.66 24.98 993.29 0.29 

Surface Mining 116.86 42.67 669.13 

Other 107.26 636.23 619.75 74.47 6,0

Fuel Combustion 35.69 2.43 89.98 6.11 Fugitives 26.79 

Petroleum Industry 

Cooling Towers 113.83 

FCCU 327.87 350.86 142.90 142.90 Flares 2.70 1.87 

Process Heaters 638.63 1,051.63 94.62 94.41 

Waste Water 0.00 0.31 

Other 16.98 5.85 0.83 1

Fugitives 22.43 24.60 2

Paper and Wood Products 

Plywood 0.06 0.33 

Pulpboard 4.13 

Woodworking 2.06 

Other 6.60 7.25 61.02 

Fuel Combustion 0.07 0.09 Fugitives 8.48 

Rubber and Plastic Products 

Plastic Foam 0.01 0.08 0.32 

Plastic Products 0.26 1.99 40.60 

Tire Manufacturing 55.38 44.33 120.08 

Other 0.43 22.84 

Fuel Combustion 0.62 0.10 3.66 0.29 

Fabricated Metal Products 

Drum Reclamation 0.22 0.00 0.26 0.02 

Plating 0.10 2.86 0.00 

Welding 7.06 

Other 13.64 0.00 15.22 60.49 

D-4 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

(t[>}') (t[>y) (t[>y) (t[>y) (t[>y) (t[>

Fuel Combustion 38.10 1.74 49.97 6.98 

Fugitives 

Oil and Gas Production 

Crude Oil 

Natural Gas 75.83 33.94 0.55 2

Other 0.28 1.39 

Fuel Combustion 0.43 2.14 0.00 Fugitives 

Miscellaneous Machinery 3.61 0.70 0.56 

Electrical Equipment 0.09 0.30 2.07 

Transportation Equipment 0.60 0.77 1.80 

Health Services 

Crematories 19.28 1.55 0.22 

Sterilizers 

Leather and Leather Products 

Textile Products 0.10 0.47 

Process Cooling 9.83 1.31 

In-Process Fuel Use 

Distillate Oil 2.03 12.87 0.03 

Natural Gas 182.69 1.46 470.02 15.68 0.46 

Other 44.71 32.74 6.64 

Miscellaneous Manufacturing 

Miscellaneous Manufacturing 51.72 0.00 158.19 4.22 

Fuel Combustion 153.69 0.14 94.16 52.14 

Organic Solvent Emissions 

Organic Solvent Use 

Cold Cleaning 

Degreasing 

Dry Cleaning 

Other 

Fugitives 

D-5 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 50

(tp

Surface Coating Operations 

Adhesives 0.08 

Aircraft 0.60 

Automobiles 7.34 17.47 1.60 

Fabric Flatwood Products 

Large Appliances 

Magnet Wire Metal Cans 4.81 5.73 Metal Coils 1.44 1.71 0.13 Metal Furniture 0.49 Miscellaneous Metal Parts 0.51 0.97 14.23 

Ovens 32.69 1.60 55.60 5.12 

Paper 0.72 3.50 Plastic Parts 5.76 

Steel Drums 0.26 

Thinning Solvents 0.02 

Wood Furniture 1.10 

Other 7.98 11.67 19.78 0.06 

Fuel Combustion 6.53 0.22 7.70 0.02 Fugitives 2.11 6.23 0.09 

Petroleum Product Storage 

Fixed Roof Tanks 

Floating Roof Tanks 

Variable Vapor Space Tanks 

Fugitives 

Bulk Terminals/Plants 

Fixed Roof Tanks 

Floating Roof Tanks 

Losses 2.38 5.21 

Variable Vapor Space Tanks 

D-6 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S

Printing/Publishing 

Cleanup 

Dryers 1.67 

Flexographic 

Letterpress Lithographic 5.85 

Rotogravure 

Screen Printing 

Thinning Solvents 

Other 

Fugitives 55.69 

Petroleum Marketing/Transport 

Pipelines 

Stage I 

Stage II 

Tank Cars 

Fugitives 

Organic Chemical Storage 

Fixed Roof Tanks 0.11 6.56 

Floating Roof Tanks 

Pressure Tanks 

Organic Chemical Transport Organic Solvent Evaporation 

Evaporation 0.01 0.01 11.69 

Other 0.58 0.22 

Fuel Combustion 7.10 0.53 

Solid Waste Disposal 

Government 

Incineration 3.15 0.36 1.17 

Landfills 696.94 310.76 99.30 

Sewage Treatment 40.88 14.06 

Other 

D-7 
Table D-1: Attainment Area Emissions (continued) 

Category PM10 PM2.5 

t t 

Commercial/Institutional 

Incineration 123.48 43.30 29.92 

Industrial 

Incineration 18.17 1.69 1.82 

Landfills 82.71 37.77 18.04 

TSDFs 0.11 

Other 1.49 2.67 0.11 

Site Remediation 

Air Stripping 

Soil Venting 1.76 2.27 

Other 10.61 

Point Source Total 45,920.52 433.89 179,310.90 20,326.21 3,396.17 330,9

Area Sources 

Agriculture 

Fertilizer 23,540.83 

Pesticide 

Tilling 358,820.45 71,763.95 

Aircraft Refueling Architectural Coating Asphalt Paving 

Automobile Refinishing 

Commercial Cooking 372.99 962.91 892.86 Construction 

Nonresidential 10,713.27 2,142.62 

Residential 1,123.09 224.56 Road 22,920.67 4,584.11 

Consumer Solvent Use 

Dry Cleaning 

Forest Fires 237.20 1.07 5.09 23.07 19.78 Fuel Combustion- Commercial/Institutional 

Natural Gas 1,695.16 8.48 1,854.20 147.94 140.76 

Distillate Oil 40.33 5.94 195.84 19.87 18.04 3Residual Oil 0.30 0.04 2.88 0.12 0.10 

D-8 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 S0

lteyl lteyl lteyl lteyl lteyl lte

Kerosene 0.88 0.13 10.07 1.25 0.80 

LPG 9.03 67.16 4.48 4.48 

Fuel Combustion- Industrial 

Natural Gas 2,315.49 79.40 2,480.07 187.67 175.02 

Distillate Oil 39.83 5.98 167.38 8.30 2.27 3Residual Oil 5.65 0.93 63.97 11.75 8.06 2

Coal 0.00 0.00 0.00 0.00 0.00 

Fuel Combustion- Residential 

Natural Gas 2,572.62 6,045.60 122.18 122.18 

Distillate Oil 14.64 52.73 3.15 2.40 

Kerosene 7.35 26.73 1.62 1.33 

LPG 279.06 1,133.70 14.83 14.83 

Coal 1,072.45 35.54 24.19 14.81 

Wood 

Fireplaces 24,066.82 409.79 3,346.44 3,346.44 

Wood Stoves 17,379.19 210.82 2,333.41 2,333.41 

Gasoline Marketing 

Stage I 

Stage II 

Tank Truck Leaks 

Storage Tank Breathing 

Graphic Arts 

Incineration 1,528.73 472.67 767.90 522.81 4Industrial Surface Coating 

Marine Vessel Loading and Transport 

Open Burning 

Prescribed Burning 1,134.78 5.11 24.35 110.34 94.63 

Residential Household Waste 419.86 29.66 187.69 171.90 

Yard Waste 673.72 147.10 147.10 

Pavement Markings Portable Fuel Containers 

Commercial 

Residential 

D-9 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 50

(tpy) (tpy) (tpy) (tpy) (tpy) (tpy

Solvent Cleaning 

Structure Fires 143.87 3.39 25.89 23.57 

Waste Water Treatment 

POTWs 1,699.37 

Industrial 

Area Source Totals 54,009.93 25,347.26 13,291.65 402,029.56 86,772.80 1,7

On-road Mobile Sources 

HDDV 12,923.98 97.28 55,656.21 1,778.16 1,559.78 1,2

HDGV 39,292.56 67.86 7,923.38 160.86 118.08 2

LOOT 132.16 0.53 131.53 17.18 14.94 LDDV 63.46 0.25 59.46 9.48 8.30 

LDGT12 378,136.22 1,405.73 22,843.17 432.99 237.90 1,1LDGT34 175,459.65 457.19 9,952.23 174.63 101.15 5

LDGV 461,888.19 2,171.85 28,874.92 611.53 318.92 1,3

MC 3,871.07 3.12 418.40 10.51 5.95 

On-road Mobile Source Totals 1,071,767.29 4,203.81 125,859.30 3,195.34 2,365.03 4,4Off-road Mobile Sources 

Agricultural Equipment 

2-stroke 129.03 0.00 0.05 3.14 2.84 

4-stroke 21,051.31 0.05 500.39 2.18 1.92 

Diesel 21,071.13 20.63 36,446.41 4,253.89 3,913.48 6

Aircraft 

A PUs 0.00 0.00 0.00 0.00 Air Taxi 736.28 49.10 14.81 14.45 

Commercial 161.44 161.44 7.25 7.08 

General Aviation 5,325.48 41.15 96.96 94.65 

Military 297.76 74.46 4.49 4.38 

Airport Ground Support Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 22.15 0.00 1.30 0.00 0.00 

L_____ __ Diesel 10.80 0.00 23.23 1.70 1.55 

D-10 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 50

Commercial Equipment 

2-stroke 583.15 0.00 1.82 15.11 13.85 

4-stroke 45,051.27 0.36 911.25 13.03 11.85 

Diesel 636.46 0.05 943.09 116.24 106.90 

Construction Equipment 

2-stroke 742.45 0.00 6.17 21.17 19.32 

4-stroke 5,525.27 0.00 75.24 0.21 0.16 

Diesel 4,373.34 1.90 8,112.70 678.22 623.77 

Construction and Mining Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 124.13 0.00 29.76 0.00 0.00 

Diesel 0.00 0.00 0.00 0.00 0.00 

Industrial Equipment 

2-stroke 8.47 0.00 0.00 0.16 0.13 

4-stroke 25,107.18 0.02 4,429.68 20.31 18.73 

Diesel 835.14 0.50 1 ,882.37 161.55 148.38 

Lawn and Garden Equipment 

2-stroke 7,216.85 0.09 30.26 176.13 162.12 

4-stroke 80,130.54 1.73 1,166.14 27.47 25.14 

Diesel 181.22 0.06 324.17 34.03 31.22 

Locomotives 4,964.72 21.10 44,922.89 1,246.38 1,146.68 3,0

Logging Equipment 

2-stroke 2.08 0.00 0.02 0.06 0.06 

4-stroke 4.73 0.00 0.05 0.00 0.00 

Diesel 0.51 0.00 1.63 0.11 0.10 

Marine Vessels 

Commercial 2,554.61 8.41 13,764.30 332.62 306.01 1,2

Recreational 

2-stroke 8,459.05 86.94 221.93 204.18 

4-stroke 1,311.84 44.15 0.00 0.00 

Diesel 6.53 44.60 0.05 0.05 

D-11 
Table D-1: Attainment Area Emissions (continued) 

Category co NH3 NOx PM10 PM2.5 50

(tpy) (tpy) (tpy) (tpy) (tpy) (tp

Railroad Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 75.69 0.00 0.76 0.00 0.00 

Diesel 39.81 0.00 46.51 6.39 5.91 

Recreational Equipment 

2-stroke 14,244.04 2.10 117.25 199.75 183.80 

4-stroke 17,037.11 0.90 179.63 5.47 5.25 

Diesel 32.66 0.00 24.25 4.88 4.65 

Underground Mining Equipment 

2-stroke 0.00 0.00 0.00 0.00 0.00 

4-stroke 0.00 0.00 0.00 0.00 0.00 

Diesel 72.51 0.03 81.03 11.21 10.32 

Off-road Mobile Source Totals 268,126.74 57.93 114,524.19 7,676.90 7,068.93 5,1

Animal Husbandry 

Beef Cattle 8,327.21 

Chickens 1,650.17 

Dairy Cattle 3,707.43 

Goats 72.96 

Hogs 25,551.15 Horses 1,214.23 

Sheep 198.53 

Turkeys 999.76 

Animal Husbandry Totals 41,721.45 

Biogenic Sources 72,753.83 36,134.36 

Totals 

Point Source 45,920.52 433.89 179,310.90 20,326.21 3,396.17 330,9

Area Source 54,009.93 25,347.26 13,291.65 402,029.56 86,772.80 1,7

On-road Mobile 1,071,767.29 4,203.81 125,859.30 3,195.34 2,365.03 4,4

Off-road Mobile 268,126.74 57.93 114,524.19 7,676.90 7,068.93 5,1

Animal Husbandry 41,721.45 

Biogenic 72,753.83 36,134.36 

Total 1,512,578.30 71,764.35 469,120.40 433,228.01 99,602.93 342,3

D-12 
APPENDIX E 

2002 EMISSIONS 

County Level 
Table E-1: County Level CO Emissions (tons/year) 

County Point Area On-road Off-road Total 

Adams 296.51 1,010.47 12,873.58 4,960.69 19,141.25 

Alexander 92.25 421.03 3,071.68 900.52 4,485.48 

Bond 23.90 450.00 7,352.04 1,031.33 8,857.26 

Boone 103.53 416.69 13,841.24 2,993.38 17,354.84 

Brown 15.26 236.90 1,456.92 373.43 2,082.51 

Bureau 76.29 328.33 14,292.69 2,877.43 17,574.75 

Calhoun 0.62 575.80 994.91 611.50 2,182.83 

Carroll 25.39 452.15 4,097.38 3,532.75 8,107.66 

Cass 27.06 227.97 2,981.73 1,240.38 4,477.15 

Champaign 335.62 1,041.88 45,926.20 9,962.73 57,266.43 

Christian 952.88 316.84 8,094.63 2,280.10 11,644.45 

Clark 36.24 590.65 9,493.01 1,185.48 11,305.38 

Clay 12.87 774.21 4,070.03 1,570.54 6,427.65 

Clinton 226.71 993.73 9,587.26 2,149.89 12,957.59 

Coles 138.24 524.64 13,658.92 2,847.49 17169.28 

Cook 13,352.30 20,252.04 564,672.51 302,512.50 900,789.34 

Crawford 1,170.74 466.97 4,475.70 1,438.01 7,551.43 

Cumberland 1.77 549.68 7,643.02 742.06 8,936.53 

DeKalb 72.72 347.25 19,560.66 6,462.90 26,443.52 

DeWitt 60.12 89.02 5,314.23 1,608.79 7,072.15 

Douglas 719.60 355.73 7,179.97 1,459.93 9,715.23 

DuPage 766.55 3,642.29 140,757.49 94,313.06 239,479.40 

Edgar 18.47 317.37 4,558.55 1,509.80 6,404.19 

Edwards 1.77 365.08 1,863.04 424.48 2,654.37 

Effingham 8.45 1,117.75 16,647.04 2,795.80 20,569.05 

Fayette 103.04 879.95 10,521.80 1,814.94 13,319.74 

Ford 27.16 117.85 4,442.98 1,397.44 5,985.43 

Franklin 7.86 1,033.78 13,185.43 1,927.91 16,154.99 

Fulton 262.82 627.77 8,651.82 2,105.23 11,647.64 

Gallatin 0.00 96.29 2,137.06 761.83 2,995.18 

Greene 0.33 463.73 3,083.83 1,487.44 5,035.34 

Grundy 2,312.79 583.77 157,500.00 4,921.19 23,567.76 

Hamilton 1.09 821.40 2,187.36 641.90 3,651.75 

Hancock 2.45 494.60 5,525.00 2,286.16 8,308.21 

Hardin 5.27 211.70 1,150.03 318.42 1,685.41 

Henderson 0.43 248.81 3,171.94 1,035.98 4,457.16 

Henry 653.76 528.52 18,316.44 3,516.39 23,015.11 

Iroquois 43.07 261.17 132,700.00 3,063.59 16,637.83 

Jackson 351.14 1,557.88 12,255.72 2,455.80 16,620.54 

Jasper 1,069.39 526.79 3,320.26 1,128.31 6,044.75 

Jefferson 122.78 1,660.32 17,525.96 2,424.83 21,733.90 

Jersey 0.74 729.10 5,109.41 1,264.87 7,104.13 

JoDaviess 753.94 532.30 5,877.77 3,582.63 10,746.63 

Johnson 29.18 620.71 6,081.33 742.81 7,474.03 

Kane 489.58 1,961.32 59,150.05 31,305.52 92,906.46 

Kankakee 738.99 514.95 24,429.65 6,069.05 31,752.64 

Kendall 209.12 339.33 13,794.15 8,383.01 22,725.61 

Knox 52.18 594.69 14,798.09 4,211.29 19,656.25 

Lake 1,569.16 3,190.32 96,410.08 95,728.27 196,897.82 

LaSalle 4,612.41 672.83 35,993.53 7,351.18 48,629.94 

Lawrence 24.84 244.89 4,235.04 1,024.29 5,529.06 

Lee 3,589.93 280.71 15,452.08 3,809.87 23,132.59 

E-1 
Table E-1: County Level CO Emissions (tons/year) 

(continued) 

Countv Point Area On-road Off-road Total 

Livingston 415.07 234.95 16,247.36 3,234.25 20,131.63 

Logan 76.42 184.28 13,805.56 1,885.55 15,951.81 

McDonough 114.16 476.23 7,001.47 2,001.35 9,593.20 

McHenry 294.85 2,313.97 36,262.38 23,596.45 62,467.65 

Mclean 200.49 699.27 49,425.00 9,934.85 60,259.62 

Macon 12,769.16 541.45 25,016.07 7,046.73 45,373.42 

Macoupin 3.62 1,204.79 11,684.89 2,612.42 15,505.72 

Madison 18,091.80 3,124.54 54,833.20 14,356.29 90,405.84 

Marion 66.14 1,331.27 12,046.61 2,907.87 16,351.89 

Marshall 29.44 135.35 5,458.40 1,384.22 7,007.41 

Mason 343.08 332.20 3,591.59 1,683.15 5,950.02 

Massac 1,807.68 328.24 5,718.08 715.46 8,569.46 

Menard 0.00 217.86 2,448.56 871.98 3,538.40 

Mercer 0.11 403.14 3,699.58 1,598.51 5,701.34 

Monroe 0.63 1,076.94 7,439.08 1,765.82 10,282.47 

Montgomery 712.40 754.13 13,209.11 2,454.49 17,130.13 

Morgan 412.63 541.60 9,078.31 2,177.04 12,209.59 

Moultrie 3.75 164.31 4,023.09 1,128.40 5,319.56 

Ogle 248.70 474.70 17,680.13 5,009.81 23,413.33 

Peoria 2,968.04 1 '125.79 44,668.40 12,023.08 60,785.31 

Perry 86.85 718.33 5,195.87 1,255.03 7,256.08 

Piatt 214.26 139.61 6,562.83 1,295.76 8,212.46 

Pike 249.28 800.58 6,704.34 1,826.07 9,580.28 

Pope 0.00 516.71 1,253.37 282.80 2,052.87 

Pulaski 0.00 447.21 3,205.12 432.00 4,084.33 

Putnam 642.95 128.15 1,650.14 843.53 3,264.77 

Randolph 1,885.01 864.23 6,832.39 2,225.87 11,807.49 

Richland 0.76 812.90 3,971.62 1,420.42 6,205.70 

Rock Island 707.01 850.47 34,961.52 9,385.86 45,904.86 

St. Clair 399.99 1,651.86 52,361.54 12,051.74 66,465.14 

Saline 28.95 496.91 6,235.59 1326.44 8,087.89 

Sangamon 656.96 1,206.56 51' 123.20 13,015.44 66,002.17 

Schuyler 0.61 505.24 2,675.64 532.76 3,714.25 

Scott 9.63 247.04 2,372.67 669.54 3,298.87 

Shelby 35.36 626.43 6,178.59 2,279.71 9,120.10 

Stark 0.00 120.06 1,832.56 575.79 2,528.40 

Stephenson 243.03 593.42 11,160.13 4,491.41 16,487.99 

Tazewell 2,205.75 995.76 33,225.90 7,864.76 44,292.17 

Union 35.86 1 ,038.39 5,859.31 889.35 7,822.91 

Vermilion 449.77 842.70 21,211.87 5,113.20 27,617.54 

Wabash 4.41 236.49 2,405.37 740.51 3,386.78 

Warren 25.80 300.33 5,620.14 1,250.54 7,196.81 

Washington 4.51 579.73 8,976.81 1,339.06 10,900.12 

Wayne 156.89 929.16 6,284.54 1,463.43 8,834.02 

White 271.67 560.10 5,527.50 1 '134.08 7,493.34 

Whiteside 1,136.93 677.44 15,121.23 4,351.42 21,287.02 

Will 7,690.85 2,605.31 76,406.01 37,267.91 123,970.07 

Williamson 232.40 1,342.51 19,115.25 3,122.87 23,813.03 

Winnebago 369.38 1 ,506.44 65,526.67 18,588.32 85,990.81 

Woodford 12.74 451.60 12,571.06 2,633.62 15,669.01 

E-2 
Table E-2: County Level NH3 Emissions (tons/year) 

County Point Area On-road Off-road Animals Total 

Adams 1.33 382.97 52.22 0.82 912.83 1,350.1 

Alexander 0.41 58.89 12.48 0.97 33.71 106.47 

Bond 0.14 164.28 29.88 0.32 162.45 357.0E 

Boone 1.83 211.26 53.12 0.39 273.44 540.04 

Brown 0.05 98.15 5.92 0.07 277.67 381.8E 

Bureau 0.14 529.03 54.89 0.90 730.81 1,315.71 

Calhoun 0.02 45.11 4.04 0.44 107.17 156.7E 

Carroll 0.14 220.95 15.74 1.12 872.70 1,110.65 

Cass 0.94 169.99 12.10 0.57 631.57 815.1/ 

Champaign 6.11 679.59 175.97 1.41 256.86 1,119.94 

Christian 4.53 486.54 32.85 0.58 246.58 771.08 

Clark 0.41 254.41 38.60 0.31 355.83 649.55 

Clay 0.19 211.18 16.52 0.33 368.08 596.29 

Clinton 0.54 219.54 38.96 0.49 1,972.58 2,232.11 

Coles 2.04 266.75 55.40 0.29 127.28 451.75 

Cook 49.12 1,996.03 3,487.24 26.30 35.33 5,594.02 

Crawford 0.98 243.79 18.17 0.21 314.05 577.20 

Cumberland 0.00 168.64 31.08 0.23 403.89 603.84 

DeKalb 1.24 423.03 75.00 0.69 1,741.91 2,241.88 

DeWitt 0.02 225.31 20.40 0.81 168.69 415.23 

Douglas 1.41 286.17 29.19 0.55 168.38 485.70 

DuPage 6.37 266.18 869.29 7.15 11.33 1,160.32 

Edgar 0.36 366.41 18.50 0.49 822.41 1,208.18 

Edwards 0.00 94.52 7.57 0.11 182.35 284.55 

Effingham 1.01 274.25 67.60 0.43 885.22 1,228.51 

Fayette 2.50 280.45 42.75 0.48 187.29 513.48 

Ford 0.81 320.63 17.07 0.37 264.75 603.62 

Franklin 0.10 131.37 53.52 0.41 335.59 520.98 

Fulton 0.54 313.92 33.20 0.44 689.64 10.7.74 

Gallatin 0.00 164.97 8.68 0.33 73.14 247.12 

Greene 0.00 270.07 12.53 0.76 947.57 1,230.93 

Grundy 34.48 230.85 65.01 0.82 87.71 418.8' 

Hamilton 0.05 173.05 8.89 0.23 190.33 372.5' 

Hancock 0.04 362.12 21.22 0.65 967.86 1,351.8E 

Hardin 0.26 8.21 4.67 0.25 141.55 154.9' 

Henderson 0.00 182.30 12.18 0.59 323.40 518.4' 

Henry 2.37 458.75 70.32 0.99 1,660.13 2,192.55 

Iroquois 2.26 694.32 50.98 1.17 477.33 1,226.0 

Jackson 1.61 130.76 49.68 0.94 166.69 349.6 

Jasper 1.20 251.64 13.49 0.25 824.25 1 ,090.8, 

Jefferson 0.02 190.11 71.18 0.64 198.76 460.71 

Jersey 0.00 138.55 20.75 0.51 159.23 319.03 

JoDaviess 0.95 141.51 22.56 1.10 780.22 946.35 

Johnson 0.03 27.87 24.73 0.17 185.77 238.56 

Kane 5.68 306.34 346.02 2.84 413.86 1,074.74 

Kankakee 18.63 476.43 93.57 0.88 216.51 806.0< 

Kendall 1.56 250.29 59.46 0.74 229.53 541.5' 

Knox 5.23 431.00 56.74 1.07 964.86 1,458.91 

Lake 3.88 286.49 592.76 3.95 82.59 969.6' 

LaSalle 22.35 654.87 138.05 1.67 336.87 1,153.81 

Lawrence 0.29 176.82 17.21 0.21 548.76 743.2' 

Lee 0.41 416.60 59.34 1.30 531.11 1,008.75 

E-3 
Table E-2: County Level NH3 Emissions (tons/year) 

(continued) 

County Point Area On-road Off-road Animals Total 

Livingston 2.54 679.06 62.41 0.69 963.70 1 ,708.4C 

Logan 0.67 398.27 53.03 0.46 569.20 1,021.64 

McDonough 0.50 328.32 26.85 0.60 301.28 657.5 

McHenry 1.78 433.93 209.18 1.28 653.19 1 ,299.3t 

Mclean 4.14 329.59 189.44 1.96 741.29 1 ,266.4, 

Macon 99.93 564.96 101.35 0.83 124.46 891.5' 

Macoupin 0.45 202.23 47.48 0.40 664.56 915.L 

Madison 26.21 352.84 280.65 2.04 352.98 1 ,014.7:< 

Marion 1.32 74.63 48.91 0.30 151.35 276.5:< 

Marshall 1.51 305.67 20.98 0.78 151.24 480.17 

Mason 17.50 218.23 13.79 1.01 175.59 426.1 < 

Mas sac 19.16 724.53 23.21 0.41 150.29 917.6( 

Menard 0.00 177.64 9.95 0.16 300.76 488.51 

Mercer 0.01 272.40 14.21 0.40 609.37 896.3' 

Monroe 0.01 147.96 34.15 1.02 369.38 552.5: 

Montgomery 1.38 361.85 53.68 0.75 550.81 968.4 

Morgan 8.05 288.47 36.85 0.69 467.39 801.44 

Moultrie 0.04 198.98 16.35 0.36 192.06 407.7< 

Ogle 0.98 368.30 67.90 1.02 718.03 1,156.2c 

Peoria 28.18 352.69 170.94 1.06 331.42 884.2> 

Perry 0.17 157.85 21.08 0.26 159.06 338.4 

Piatt 0.03 286.26 25.23 0.49 94.23 406.2c 

Pike 0.19 296.63 27.25 0.70 994.68 1,319.4t 

Pope 0.00 19.77 5.09 0.25 92.82 117.9c 

Pulaski 0.00 62.42 13.03 0.23 65.28 140.96 

Putnam 1.50 72.69 6.34 0.26 80.57 161.37 

Randolph 3.26 190.79 27.75 1.23 265.16 488.19 

Richland 0.10 197.87 16.12 0.23 642.50 856.82 

Rock Island 15.80 222.72 133.76 1.00 366.34 739.6: 

St. Clair 15.47 335.57 267.83 0.92 313.69 933.4( 

Saline 0.02 255.30 25.31 0.56 189.30 470.4< 

Sangamon 17.79 384:90 207.22 1.02 443.16 1,054.09 

Schuyler 0.06 132.78 10.28 0.15 370.16 513.43 

Scott 0.00 258.32 9.64 0.58 127.70 396.25 

Shelby 0.19 336.29 25.11 1.31 582.08 944.98 

Stark 0.00 185.73 7.04 0.17 153.06 346.0C 

Stephenson 6.47 339.59 42.79 0.49 1,367.10 1 '756.4' 

Tazewell 7.83 317.82 127.17 1.12 556.24 1,010.H 

Union 0.00 55.88 23.80 0.63 114.36 194.6 

Vermilion 82.76 570.30 81.28 1.15 194.85 930.3 

Wabash 0.12 122.49 9.76 0.14 73.39 205.8S 

Warren 17.99 303.80 21.56 0.57 524.81 868.72 

Washington 0.32 282.20 36.50 0.38 808.96 1,128.36 

Wayne 0.29 252.12 25.53 0.36 824.47 1 '102.77 

White 0.59 236.62 22.45 0.28 150.41 41 0.3E 

Whiteside 0.89 389.00 58.00 1.37 772.54 1,221.81 

Will 41.26 328.82 450.01 4.55 214.61 1,039.26 

Williamson 1.15 86.27 77.56 0.28 167.40 332.66 

Winnebago 8.36 327.41 250.56 1.25 329.65 917.2< 

Woodford 0.18 303.89 48.32 0.48 555.39 908.26 

E-4 
Table E-3: County Level NOx Emissions (tons/year) 

County Point Area On-road Off-road Total 

Adams 488.57 224.56 1,535.63 1,671.59 3,920.35 

Alexander 224.35 24.69 366.76 1,721.12 2,336.92 

Bond 10.48 58.46 877.90 706.74 1,653.58 

Boone 144.36 145.03 1,609.32 489.66 2,388.36 

Brown 8.70 16.55 173.94 145.19 344.39 

Bureau 117.56 117.44 1,662.45 1,806.74 3,704.20 

Calhoun 0.74 21.49 118.78 761.00 902.01 

Carroll 16.30 66.27 476.61 1,316.37 1,875.54 

Cass 30.40 49.92 355.82 1,077.83 1,513.97 

Champaign 752.24 642.09 5,335.00 2,824.24 9,553.56 

Christian 20,984.68 102.26 965.77 1,184.74 23,237.44 

Clark 20.34 70.53 1,133.77 689.09 1,913.73 

Clay 21.70 86.74 485.74 682.43 1,276.61 

Clinton 751.97 122.89 1 '144.65 1,041.09 3,060.60 

Coles 169.13 146.06 1,629.22 755.59 2,699.99 

Cook 18,466.88 21,056.48 97,482.66 54,896.73 191,902.75 

Crawford 3,803.86 107.88 534.11 438.93 4,884.78 

Cumberland 0.29 42.88 912.87 530.01 1,486.05 

DeKalb 113.60 259.48 2,273.21 1,232.98 3,879.27 

DeWitt 22.63 55.75 617.98 1,656.37 2,352.72 

Douglas 5,760.94 59.99 857.42 1,169.71 7,848.06 

DuPage 918.04 4,200.41 24,300.13 10,941.59 40,360.17 

Edgar 28.80 71.16 543.97 1,019.73 1,663.66 

Edwards 1.79 55.38 222.43 239.09 518.68 

Effingham 18.94 183.13 1,986.89 1,067.34 3,256.30 

Fayette 300.03 66.82 1,256.18 1,074.60 2,697.64 

Ford 79.47 42.23 516.91 786.68 1,425.29 

Franklin 14.84 127.88 1,573.35 935.27 2,651.34 

Fulton 4,888.84 109.13 1,005.81 901.53 6,905.31 

Gallatin 0.00 17.85 255.15 613.59 886.59 

Greene 2.46 47.38 368.19 1,334.48 1,752.50 

Grundy 3,180.83 112.17 1,941.67 1,743.47 6,978.14 

Hamilton 4.20 33.97 261.15 474.04 773.36 

Hancock 3.74 86.51 642.67 1,295.37 2,028.29 

Hardin 9.42 16.19 137.30 425.16 588.07 

Henderson 0.00 26.36 368.96 1,183.94 1,579.26 

Henry 2,575.62 168.54 2,130.07 2,124.88 6,999.12 

Iroquois 84.41 77.57 1,543.92 2,368.38 4,074.28 

Jackson 456.10 162.56 1,461.38 1,936.22 4,016.26 

Jasper 5,246.81 40.79 396.41 510.09 6,194.10 

Jefferson 43.21 173.71 2,092.01 1,392.53 3,701.46 

Jersey 0.00 64.32 609.79 908.15 1,582.26 

JoDaviess 1,658.87 77.32 683.46 1,555.91 3,975.56 

Johnson 28.12 27.15 726.32 305.44 1,087.03 

Kane 544.09 1,663.18 9,755.43 4,868.19 16,830.89 

Kankakee 2,944.15 261.08 2,837.26 1,768.79 7,811.28 

Kendall 1,155.54 209.56 1,761.33 1,048.81 4,175.23 

Knox 102.03 194.00 1,719.78 2,338.01 4,353.81 

Lake 6,478.64 2,811.19 16,582.01 6,043.04 31,914.89 

LaSalle 5,252.46 339.04 4,183.62 3,134.52 12,909.64 

Lawrence 20.37 50.21 505.63 467.33 1,043.54 

Lee 1,910.11 123.84 1,797.38 2,281.18 6,112.51 

E-5 
Table E-3: County Level NOx Emissions (tons/year) 

(continued) 

Countv Point Area On-road Off-road Total 

Livingston 505.66 128.96 1 ,890.06 1,408.62 3,933.30 

Logan 464.01 88.98 1,606.08 963.08 3,122.15 

McDonough 485.29 92.07 813.65 1,272.46 2,663.47 

McHenry 317.90 1,059.14 5,911.07 2,248.85 9,536.95 

Mclean 704.32 532.08 5,742.61 3,941.86 10,920.86 

Macon 8,491.98 266.81 2,982.27 1,918.02 13,659.07 

Macoupin 11.58 155.26 1,395.10 826.09 2,388.03 

Madison 11,623.99 1,020.40 7,877.35 3,547.88 24,069.61 

Marion 110.79 126.70 1,437.68 766.75 2,441.92 

Marshall 255.53 36.39 635.16 1,457.49 2,384.57 

Mason 3,975.53 53.39 417.77 1,915.96 6,362.65 

Massac 11,045.56 52.77 682.41 781.32 12,562.05 

Menard 0.54 32.84 292.34 336.54 662.25 

Mercer 4.04 53.75 430.34 804.27 1,292.39 

Monroe 3.19 85.61 976.75 1,972.23 3,037.79 

Montgomery 14,384.53 111.90 1,577.24 1,562.73 17,636.40 

Morgan 4,464.74 97.13 1,083.28 1,451.51 7,096.66 

Moultrie 10.22 55.74 480.33 726.26 1,272.54 

Ogle 186.51 212.70 2,056.53 1,801.59 4,257.33 

Peoria 11,768.10 580.32 5,185.39 2,200.15 19,733.95 

Perry 77.18 86.24 619.92 709.11 1,492.46 

Piatt 1,934.41 48.81 763.79 995.95 3,742.96 

Pike 2,726.41 53.75 800.61 1,405.94 4,986.72 

Pope 0.00 23.56 149.64 462.39 635.59 

Pulaski 103.00 27.02 382.77 472.24 985.04 

Putnam 3,812.68 18.86 191.95 495.47 4,518.95 

Randolph 22,459.51 138.39 815.51 2,348.29 25,761.70 

Richland 3.59 75.34 473.87 537.69 1,090.50 

Rock Island 704.35 603.06 4,057.90 1,964.08 7,329.36 

St. Clair 429.99 710.86 7,519.49 1,621.77 10,282.11 

Saline 20.14 82.96 744.10 1,229.50 2,076.69 

Sangamon 10,804.13 721.90 6,096.10 1,657.74 19,279.87 

Schuyler 2.05 26.67 311.23 340.60 680.55 

Scott 16.51 17.30 283.33 1,092.41 1,409.54 

Shelby 56.23 87.41 737.71 2,984.13 3,865.48 

Stark 0.00 20.94 213.16 334.13 568.23 

Stephenson 140.55 193.15 1,296.99 823.39 2,454.08 

Tazewell 30,063.85 593.38 3,857.29 2,167.59 36,682.11 

Union 43.25 61.89 699.37 1,299.68 2,104.19 

Vermilion 2,626.58 252.31 2,464.11 2,400.15 7,743.14 

Wabash 4.65 45.24 286.95 319.65 656.48 

Warren 33.00 64.23 653.32 1,135.63 1,886.18 

Washington 12.61 64.28 1,072.10 792.31 1,941.29 

Wayne 424.77 80.46 750.27 745.28 2,000.78 

White 745.01 55.68 659.85 565.96 2,026.50 

Whiteside 307.58 252.61 1,757.69 2,936.63 5,254.51 

Will 24,268.74 1,406.67 12,673.69 7,931.00 46,280.10 

Williamson 6,775.94 180.85 2,280.63 614.50 9,851.91 

Winnebago 534.04 1,332.44 7,603.15 2,241.80 11,711.42 

Woodford 7.42 148.39 1,462.88 947.61 2,566.30 

E-6 
Table E-4: County Level PM1 0 Emissions (tons/year) 

County Point Area On-road Off-road Total 

Adams 311.81 4,999.37 39.69 112.08 5,462.94 

Alexander 57.51 996.61 9.49 58.07 1,121.68 

Bond 39.67 2,879.45 22.71 45.99 2,987.82 

Boone 90.18 3,004.17 40.37 65.61 3,200.33 

Brown 19.98 1,549.30 4.50 16.96 1,590.74 

Bureau 145.65 7,657.09 41.72 121.09 7,965.56 

Calhoun 18.72 822.63 3.07 31.43 875.85 

Carroll 40.61 3,670.14 11.96 118.31 3,841.02 

Cass 56.15 2,684.80 9.20 57.30 2,807.45 

Champaign 382.02 12,060.15 133.76 207.05 12,782.98 

Christian 348.62 6,865.86 24.97 96.63 7,336.08 

Clark 54.28 3,995.44 29.34 56.37 4,135.43 

Clay 46.58 3,319.27 12.56 50.19 3,428.60 

Clinton 62.54 4,386.50 29.61 73.15 4,551.79 

Coles 121.53 4,208.97 42.11 66.86 4,439.46 

Cook 4,113.40 22,255.99 2,458.32 2,898.91 31,726.61 

Crawford 554.89 3,198.52 13.81 43.68 3,810.90 

Cumberland 33.76 2,628.02 23.62 41.72 2,727.13 

DeKalb 89.82 7,065.42 57.01 124.51 7,336.76 

DeWitt 64.30 3,551.23 15.50 81.40 3,712.43 

Douglas 169.93 4,523.24 22.18 72.78 4,788.13 

DuPage 204.96 9,247.23 612.80 683.50 10,748.49 

Edgar 73.56 5,522.57 14.06 79.13 5,689.32 

Edwards 18.17 1,505.83 5.75 20.84 1,550.59 

Effingham 115.11 4,000.76 51.38 73.35 4,240.60 

Fayette 68.88 4,568.35 32.49 80.20 4,749.92 

Ford 216.80 4,941.49 12.97 69.77 5,241.03 

Franklin 58.46 2,216.88 40.68 55.20 2,371.23 

Fulton 261.77 5,103.54 25.23 79.89 5,470.43 

Gallatin 28.05 2,598.20 6.60 41.64 2,674.49 

Greene 22.77 4,277.61 9.52 71.61 4,381.52 

Grundy 697.50 4,466.20 48.61 134.00 5,346.32 

Hamilton 31.37 2,808.80 6.75 38.46 2,885.39 

Hancock 70.85 5,568.02 16.13 94.43 5,749.43 

Hardin 47.79 162.61 3.55 12.92 226.87 

Henderson 52.48 2,890.14 9.26 64.24 3,016.11 

Henry 157.27 7,257.48 53.45 130.46 7,598.65 

Iroquois 266.49 10,589.62 38.75 165.20 11,060.06 

Jackson 70.20 2,718.65 37.76 90.84 2,917.45 

Jasper 404.06 3,835.36 10.25 50.69 4,300.36 

Jefferson 278.11 2,801.40 54.10 70.01 3,203.62 

Jersey 16.34 2,509.83 15.77 47.34 2,589.29 

JoDaviess 228.70 2,684.48 17.15 109.31 3,039.63 

Johnson 26.89 503.10 18.79 16.85 565.63 

Kane 315.54 13,856.73 243.91 329.94 14,746.12 

Kankakee 250.29 6,880.47 71.13 129.45 7,331.33 

Kendall 97.13 4,484.50 44.20 116.34 4,742.17 

Knox 100.94 5,564.07 43.13 119.84 5,827.99 

Lake 920.69 9,111.92 417.87 682.91 11,133.39 

LaSalle 1,505.18 9,735.42 104.93 200.20 11,545.73 

Lawrence 22.54 2,801.51 13.08 42.05 2,879.18 

Lee 680.58 6,553.66 45.10 151.80 7,431.14 

E-7 
Table E-4: County Level PM10 Emissions (tons/year) 

(continued) 

County Point Area On-road Off-road Total 

Livingston 341.04 10,487.22 47.43 139.63 11,015.33 

Logan 225.86 6,197.99 40.31 85.01 6,549.17 

McDonough 140.15 5,223.51 20.40 81.92 5,465.98 

McHenry 192.77 13,476.50 147.45 180.52 13,997.23 

Mclean 396.80 7,535.24 144.00 250.82 8,326.86 

Macon 2,452.81 4,572.98 77.05 122.53 7,225.37 

Macoupin 75.63 3,399.56 36.09 81.05 3,592.32 

Madison 3,747.82 6,021.30 211.33 192.87 10,173.32 

Marion 53.45 1,498.35 37.18 63.63 1,652.60 

Marshall 174.18 4,797.92 15.94 71.43 5,059.47 

Mason 281.15 3,575.76 10.48 99.37 3,966.76 

Massac 704.12 10,918.76 17.65 32.86 11,673.39 

Menard 30.06 2,823.77 7.56 32.45 2,893.84 

Mercer 40.04 4,313.18 10.80 71.19 4,435.21 

Monroe 71.04 3,485.51 25.71 81.42 3,663.68 

Montgomery 263.56 5,697.80 40.80 101.39 6,103.54 

Morgan 260.95 4,784.33 28.01 85.04 5,158.33 

Moultrie 59.59 3,133.08 12.42 49.81 3,254.91 

Ogle 158.94 6,192.33 51.61 125.42 6,528.30 

Peoria 1,156.92 5,844.59 129.95 157.3 7,288.49 

Perry 16.42 2,687.50 16.03 52.67 2,772.61 

Piatt 93.28 4463.11 19.17 68.44 4,644.01 

Pike 102.91 4,924.14 20.71 90.65 5,138.41 

Pope 0.00 345.38 3.87 16.78 366.02 

Pulaski 84.11 1,082.93 9.90 25.09 1,202.04 

Putnam 388.68 1,213.68 4.82 27.36 1,634.53 

Randolph 2,230.38 3,540.35 21.09 99.94 5,891.77 

Richland 15.89 3,261.32 12.25 42.27 3,331.72 

Rock Island 274.08 2,980.11 101.68 124.93 3,480.81 

St. Clair 429.97 6,186.25 201.68 142.14 6,960.04 

Saline 39.00 3,750.31 19.24 64.96 3,873.51 

Sangamon 399.60 7,695.12 157.52 166.02 8,418.27 

Schuyler 41.59 2,105.69 7.81 30.07 2,185.16 

Scott 28.06 3,803.94 7.33 44.22 3,883.55 

Shelby 42.24 5,610.92 19.08 138.29 5,810.52 

Stark 12.27 2,828.09 5.35 33.67 2,879.38 

Stephenson 107.21 4,631.27 32.53 85.80 4,856.81 

Tazewell 1,864.25 6,093.41 96.67 132.48 8,186.81 

Union 57.36 1,153.55 18.09 50.97 1,279.97 

Vermilion 667.12 7,833.14 61.78 147.59 8,709.62 

Wabash 20.92 2,004.05 7.42 26.82 2,059.20 

Warren 107.15 4,705.19 16.39 73.36 4,902.09 

Washington 87.34 5,101.83 27.74 65.04 5,281.95 

Wayne 44.78 4,196.43 19.41 63.93 4,324.54 

White 35.81 3,855.45 17.07 49.78 3,958.11 

Whiteside 158.49 6,382.70 44.09 149.20 6,734.47 

Will 3,557.38 19,977.96 317.22 426.11 24,278.66 

Williamson 100.09 1,495.59 58.96 44.74 1,699.38 

Winnebago 542.44 6,280.11 190.48 174.41 7,187.44 

Woodford 68.03 5,010.37 36.72 79.07 5,194.19 

E-8 
Table E-5: County Level PM2.5 Emissions (tons/year) 

County Point Area On-road Off-road Total 

Adams 24.85 1120.35 29.38 103.13 1,277.71 

Alexander 0.27 246.92 7.02 53.49 307.70 

Bond 0.33 628.41 16.81 42.33 687.89 

Boone 2.86 649.71 29.88 60.53 742.98 

Brown 0.12 336.29 3.33 15.59 355.33 

Bureau 14.91 1,573.46 30.88 111.42 1,730.67 

Calhoun 0.05 228.05 2.27 28.90 259.28 

Carroll 0.33 785.68 8.85 108.86 903.72 

Cass 2.24 563.29 6.81 52.69 625.03 

Champaign 16.23 2,553.05 99.00 191.20 2,859.49 

Christian 100.04 1,413.22 18.48 88.98 1,620.71 

Clark 0.99 867.11 21.71 51.83 941.64 

Clay 0.32 750.36 9.30 46.20 806.16 

Clinton 10.32 995.92 21.91 67.36 1,095.52 

Coles 5.72 909.58 31.17 61.64 1,008.10 

Cook 1,009.77 7,084.77 1,788.56 2,684.87 12,567.97 

Crawford 323.63 695.14 10.22 40.22 1,069.21 

Cumberland 0.00 588.61 17.48 38.41 644.50 

DeKalb 4.59 1,466.22 42.20 114.78 1,627.79 

DeWitt 0.09 722.84 11.48 74.93 809.33 

Douglas 29.45 939.84 16.42 67.06 1,052.77 

DuPage 11.77 2,376.78 445.85 629.65 3,464.05 

Edgar 7.76 1 '142.74 10.41 72.75 1,233.66 

Edwards 0.00 342.09 4.26 19.16 365.51 

Effingham 23.22 929.18 38.03 67.48 1,057.91 

Fayette 2.26 1,014.45 24.05 73.92 1 '114.68 

Ford 1.07 1,002.47 9.60 64.13 1,077.26 

Franklin 1.06 552.88 30.11 50.79 634.83 

Fulton 137.23 1,094.53 18.67 73.58 1,324.02 

Gallatin 0.00 530.60 4.88 38.33 573.81 

Greene 0.00 908.12 7.05 65.82 980.99 

Grundy 215.65 967.99 35.85 .123.52 1,343.02 

Hamilton 0.05 649.03 5.00 35.32 689.40 

Hancock 0.10 1 '169.82 11.94 86.86 1,268.71 

Hardin 0.00 57.03 2.63 11.89 71.55 

Henderson 0.00 606.07 6.85 59.08 672.00 

Henry 19.13 1,516.90 39.56 120.04 1,695.63 

Iroquois 1.84 2,152.91 28.68 151.94 2,335.37 

Jackson 38.85 724.73 27.95 83.99 875.51 

Jasper 96.47 826.72 7.59 46.66 977.44 

Jefferson 0.43 746.47 40.05 64.41 851.35 

Jersey 0.00 592.38 11.67 43.57 647.62 

JoDaviess 11.65 602.21 12.69 100.50 727.04 

Johnson 6.53 166.10 13.91 15.50 202.04 

Kane 13.36 3,011.46 177.45 304.00 3,506.28 

Kankakee 15.26 1,450.59 52.64 119.29 1,637.78 

Kendall 21.79 942.04 32.55 107.11 1,103.50 

Knox 10.66 1,182.40 31.92 110.28 1,335.27 

Lake 289.09 2,264.52 304.02 628.58 3,486.22 

LaSalle 254.81 2,041.50 77.67 184.25 2,558.23 

Lawrence 0.49 589.32 9.68 38.89 638.37 

Lee 2.39 1,346.82 33.38 139.71 1,522.31 

E-9 
Table E-5: County Level PM2.5 Emissions (tons/year) 

(continued) 

County Point Area On-road Off-road Total 

Livingston 2.78 2,129.14 35.11 128.56 2,295.59 

Logan 39.44 1,262.55 29.83 78.16 1,409.98 

McDonough 1.38 1,097.65 15.10 75.30 1 '189.44 

McHenry 4.11 2,980.22 107.27 166.33 3,257.92 

Mclean 7.35 1,612.79 106.58 231.08 1,957.81 

Macon 362.92 988.68 57.03 112.93 1,521.55 

Macoupin 0.39 819.16 26.71 74.55 920.80 

Madison 1,264.84 1,586.18 156.48 177.84 3,185.33 

Marion 3.04 454.30 27.52 58.75 543.60 

Marshall 2.15 977.53 11.80 65.77 1,057.25 

Mason 57.62 755.56 7.76 91.45 912.39 

Massac 298.75 2,219.40 13.06 30.30 2,561.52 

Menard 0.00 591.65 5.60 29.85 627.10 

Mercer 0.03 909.04 7.99 65.56 982.62 

Monroe 0.01 848.96 19.04 74.87 942.88 

Montgomery 18.47 1,222.77 30.20 93.30 1,364.74 

Morgan 105.74 1,020.11 20.73 78.30 1,224.87 

Moultrie 0.01 646.06 9.19 45.82 701.08 

Ogle 3.28 1,300.02 38.20 115.39 1,456.89 

Peoria 334.56 1,317.72 96.19 144.99 1,893.45 

Perry 0.59 610.10 11.86 48.49 671.05 

Piatt 0.41 906.90 14.19 63.01 984.51 

Pike 1.21 1,075.95 15.33 83.45 1,175.94 

Pope 0.00 96.13 2.86 15.42 114.42 

Pulaski 0.00 258.91 7.33 23.07 289.31 

Putnam 109.30 251.77 3.56 25.17 389.81 

Randolph 1,041.54 810.79 15.61 92.07 1,960.01 

Richland 0.21 748.99 9.07 38.94 797.21 

Rock Island 33.63 706.16 75.26 115.48 930.53 

St. Clair 10.73 1,488.44 149.34 131.66 1,780.17 

Saline 0.01 810.84 14.24 59.80 884.88 

Sangamon 76.53 1,675.01 116.59 153.10 2,021.24 

Schuyler 0.00 474.32 5.78 27.70 507.79 

Scott 0.00 787.67 5.43 40.69 833.79 

Shelby 0.48 1,198.73 14.12 127.26 1,340.60 

Stark 0.00 576.64 3.96 30.93 611.53 

Stephenson 4.16 995.13 24.07 79.03 1 '102.38 

Tazewell 461.23 1,338.49 71.55 121.80 1,993.07 

Union 32.12 353.52 13.39 46.85 445.88 

Vermilion 145.23 1,669.84 45.73 135.85 1,996.64 

Wabash 0.04 428.33 5.49 24.66 458.52 

Warren 1.41 974.95 12.13 67.46 1,055.95 

Washington 0.50 1,087.62 20.53 59.71. 1,168.36 

Wayne 0.08 943.85 14.36 58.79 1,017.08 

White 0.19 831.15 12.63 45.82 889.78 

Whiteside 7.01 1,360.58 32.63 137.39 1,537.60 

Will 1,283.81 4,327.04 230.79 392.72 6,234.36 

Williamson 5.20 449.39 43.64 41.35 539.57 

Winnebago 13.90 1,451.70 140.99 160.90 1,767.50 

Woodford 0.30 1,054.60 27.18 72.70 1,154.78 

E-10 
Table E-6: County Level S02 Emissions (tons/year) 

County Point Area On-road Off-road Total 

Adams 2,246.35 30.71 55.50 74.09 2,406.65 

Alexander 627.27 3.47 13.27 133.79 777.80 

Bond 1.03 9.05 31.76 32.61 74.44 

Boone 5.26 19.79 56.46 11.10 92.61 

Brown 1.30 3.67 6.29 2.33 13.59 

Bureau 34.29 14.94 58.34 79.52 187.08 

Calhoun 0.00 4.72 4.30 59.64 68.67 

Carroll 5.17 9.22 16.73 76.39 107.51 

Cass 1.57 6.96 12.86 64.70 86.09 

Champaign 768.23 69.32 187.04 104.84 1,129.43 

Christian 17,675.45 15.21 34.91 42.47 17,768.04 

Clark 1.41 8.18 41.03 22.51 73.13 

Clay 0.90 8.65 17.56 23.62 50.74 

Clinton 356.35 13.84 41.40 46.95 458.55 

Coles 86.10 19.16 58.88 17.25 181.39 

Cook 25,335.10 2,207.73 2,242.55 2,501.52 32,286.90 

Crawford 19,808.51 84.86 19.31 7.69 19,920.37 

Cumberland 0.03 4.83 33.03 18.47 56.36 

DeKalb 5.56 36.49 79.72 27.18 148.95 

DeWitt 2.49 7.05 21.68 92.74 123.97 

Douglas 8,750.06 17.78 31.02 53.06 8,851.93 

DuPage 129.19 40205 559.02 392.04 1,482.30 

Edgar 0.18 33.15 19.67 37.05 90.05 

Edwards 0.04 6.04 8.05 7.43 21.56 

Effingham 0.09 22.02 71.85 38.52 132.49 

Fayette 3.64 10.24 45.44 41.58 100.90 

Ford 1.36 7.75 18.14 22.59 49.85 

Franklin 2.81 20.02 56.88 48.13 127.85 

Fulton 11,031.50 10.92 35.28 33.72 11 '111.43 

Gallatin 0.00 1.38 9.23 33.43 44.04 

Greene 0.00 5.03 13.32 83.81 12.16 

Grundy 4,292.54 13.54 63.04 70.78 4,439.90 

Hamilton 0.07 6.91 9.45 16.60 33.03 

Hancock 4.60 9.82 22.55 59.40 96.37 

Hardin 0.11 2.38 4.97 35.70 43.16 

Henderson 0.00 2.89 12.95 69.28 85.11 

Henry 34.83 16.24 74.74 97.99 223.80 

Iroquois 4.45 14.37 54.19 99.41 172.43 

Jackson 772.57 25.64 52.80 123.47 974.48 

Jasper 17,868.51 4.43 14.34 11.08 17,898.36 

Jefferson 44.78 20.67 75.66 75.53 216.64 

Jersey 0.00 8.58 22.05 59.18 89.81 

JoDaviess 1.08 15.65 23.98 94.37 135.07 

Johnson 168.43 7.61 26.28 16.24 218.57 

Kane 37.62 160.94 222.52 156.22 577.29 

Kankakee 48.00 52.02 99.46 68.82 268.30 

Kendall 150.41 17.36 55.64 31.68 255.09 

Knox 56.58 25.46 60.31 116.50 258.85 

Lake 12,195.22 269.73 381.20 192.11 13,038.26 

LaSalle 4,072.88 48.16 146.74 144.81 4,412.58 

Lawrence 104.30 6.86 18.29 16.16 145.61 

Lee 387.55 16.30 63.08 117.37 584.30 

E-11 
Table E-6: County Level 802 Emissions (tons/year) 

(continued) 

County Point Area On-road Off-road Total 

Livingston 25.11 16.44 66.33 29.60 137.49 

Logan 576.21 15.13 56.37 28.09 675.81 

McDonough 785.84 11.18 28.53 55.62 881.17 

McHenry 9.97 97.09 134.52 61.88 303.45 

Mclean 7.88 70.48 201.37 163.21 442.93 

Macon 13,885.67 43.45 107.73 72.14 14,108.99 

Macoupin 1.10 14.73 50.46 21.06 87.35 

Madison 26,705.66 109.08 296.47 189.38 27,300.59 

Marion 7.75 24.19 51.99 19.98 103.91 

Marshall 3,382.14 6.47 22.30 91.18 3,502.09 

Mason 12,881.93 6.55 14.66 120.60 13,023.73 

Massac 23,870.23 5.40 24.68 53.54 23,953.85 

Menard 0.00 2.91 10.57 8.59 22.07 

Mercer 0.23 7.46 15.10 28.61 51.40 

Monroe 0.08 11.78 36.08 33.93 181.86 

Montgomery 42,392.97 11.08 57.06 71.67 42,532.78 

Morgan 26,293.10 10.69 39.17 71.14 26,414.09 

Moultrie 0.45 6.82 17.37 32.35 57.00 

Ogle 10.69 26.51 72.17 83.91 193.27 

Peoria 44,170.81 75.29 181.71 62.80 44,490.61 

Perry 0.72 16.92 22.41 25.39 65.44 

Piatt 0.46 5.65 26.81 42.23 75.15 

Pike 1,544.90 5.84 28.97 72.28 1,651.98 

Pope 0.00 1.74 5.41 35.52 42.67 

Pulaski 202.30 2.85 13.85 28.42 247.42 

Putnam 6,211.51 2.74 6.74 31.66 6,252.65 

Randolph 26,295.58 18.21 29.49 152.70 26,495.98 

Richland 0.43 8.50 17.13 16.45 42.51 

Rock Island 1,844.97 57.09 142.18 87.46 2,131.71 

St. Clair 1,540.93 75.14 282.93 50.51 1,949.52 

Saline 0.57 9.93 26.90 65.98 103.39 

Sangamon 10,873.58 76.74 220.27 35.49 11,206.07 

Schuyler 0.00 5.40 10.92 11.02 27.34 

Scott 15.02 1.78 10.25 75.92 102.97 

Shelby 0.44 9.18 26.69 150.31 186.61 

Stark 0.00 2.67 7.48 7.73 17.88 

Stephenson 4.54 27.49 45.49 18.58 96.09 

Tazewell 29,229.84 59.02 135.17 102.26 29,526.29 

Union 679.00 14.69 25.29 86.70 805.68 

Vermilion 17,374.39 23.08 86.39 106.64 17,590.50 

Wabash 2.40 12.70 10.37 10.36 35.83 

Warren 43.45 10.24 22.92 52.25 128.86 

Washington 0.04 11.55 38.79 26.80 77.18 

Wayne 228.28 9.15 27.14 22.78 287.35 

White 0.83 5.00 23.87 17.86 47.57 

Whiteside 136.35 18.65 61.65 156.93 373.58 

Will 79,581.48 141.41 289.39 411.39 80,423.66 

Williamson 9,012.15 34.58 82.45 24.83 9,154.00 

Winnebago 139.62 136.79 266.34 39.30 582.07 

Woodford 0.02 26.84 51.35 36.50 114.72 

E-12 
Table E-7: County Level VOM Emissions (tons/year) 

County Point Area On-road Off-road Total 

Adams 10,656.59 2,040.68 958.98 551.78 4,608.02 

Alexander 604.22 445.23 229.18 177.50 1,456.13 

Bond 33.37 785.96 548.70 112.40 1,480.44 

Boone 456.93 1,072.18 946.01 1,277.81 3,752.93 

Brown 3.74 392.61 108.68 37.86 542.89 

Bureau 115.38 1,651.17 977.49 327.51 3,071.55 

Calhoun 0.04 519.16 74.22 140.37 733.79 

Carroll 48.37 913.31 280.21 1 '170.03 2,411.92 

Cass 36.66 623.52 222.25 140.43 1,022.85 

Champaign 503.75 3,796.65 3,134.49 851.52 8,286.40 

Christian 371.51 1,407.90 603.16 298.54 2,681.12 

Clark 95.13 1,080.60 708.72 132.15 2,016.60 

Clay 174.86 986.23 303.42 198.49 1,663.00 

Clinton 104.33 1,753.08 715.25 353.11 2,925.76 

Coles 663.27 1,416.34 1,017.42 218.68 3,315.71 

Cook 12,520.72 53,365.17 34,356.84 26,628.20 126,870.92 

Crawford 1,499.18 954.96 333.63 121.28 2,909.05 

Cumberland 12.75 826.67 570.68 80.71 1,490.80 

DeKalb 207.68 2,006.54 1,335.88 876.95 4,427.04 

DeWitt 60.64 653.22 363.29 260.43 1,337.58 

Douglas 505.23 1,030.82 535.89 149.10 2,221.04 

DuPage 1,479.95 9,577.12 8,564.30 6,726.11 26,347.49 

Edgar 401.76 1,055.46 339.77 153.01 1,950.01 

Edwards 151.95 471.79 138.98 40.11 802.83 

Effingham 587.16 1,579.08 1,241.36 268.04 3,675.64 

Fayette 106.95 1,312.20 785.01 256.03 2,460.20 

Ford 1,342.58 812.41 303.96 130.42 2,589.36 

Franklin 429.73 1,261.70 982.75 303.05 2,977.23 

Fulton 52.49 1,366.50 591.17 303.45 2,313.62 

Gallatin 7.15 429.16 159.42 91.11 686.83 

Greene 33.24 937.36 230.05 181.91 1,382.56 

Grundy 1,134.09 1,439.35 1,058.52 565.29 4,197.25 

Hamilton 5.06 841.00 163.17 70.63 1,079.86 

Hancock 9.38 1,229.15 377.85 294.77 1,911.15 

Hardin 2.27 235.81 85.79 38.45 362.31 

Henderson 3.40 608.08 216.93 175.57 1,003.98 

Henry 257.07 1,826.07 1,252.30 391.18 3,726.61 

Iroquois 503.55 1,910.15 907.92 392.53 3,714.15 

Jackson 246.61 1,665.75 912.36 290.12 3,114.85 

Jasper 167.49 888.83 247.69 113.81 1,417.82 

Jefferson 320.87 1,782.22 1,307.17 305.72 3,715.98 

Jersey 18.55 1,197.29 380.91 170.68 1,767.43 

JoDaviess 703.01 900.29 401.75 1,747.88 3,752.93 

Johnson 58.40 570.91 454.02 192.07 1,275.41 

Kane 1,624.78 5,065.92 3,605.61 2,333.98 12,630.28 

Kankakee 1,355.87 2,209.99 1,666.73 780.88 6,013.46 

Kendall 269.01 1,218.05 920.24 1,812.20 4,219.50 

Knox 278.14 1,668.13 1,010.69 470.24 3,427.20 

Lake 1,042.46 8,428.69 5,866.53 12,050.08 27,387.76 

LaSalle 2,125.32 1,967.90 2,458.84 940.01 7,492.08 

Lawrence 64.91 671.77 315.93 107.47 1 '160.08 

Lee 293.09 1,489.54 1,056.85 1,321.78 4,161.27 

E-13 
Table E-7: County Level VOM Emissions (tons/year) 

(continued) 

County Point Area On-road Off-road Total 

Livingston 430.01 1,962.94 1 '111 .39 290.02 3,794.35 

Logan 62.21 1,240.09 944.47 182.53 2,429.30 

McDonough 132.10 1,253.10 478.13 222.09 2,085.42 

McHenry 652.01 4,624.66 2,211.00 1,800.97 9,288.65 

McLean 2,025.44 2,778.54 3,374.41 943.83 9,122.21 

Macon 17,340.60 2,319.66 1,861.64 609.23 22,131.13 

Macoupin 79.25 1,640.41 871.77 288.14 2,879.57 

Madison 3,673.85 6,209.27 3,859.66 1,436.56 15,179.34 

Marion 912.66 1,375.77 898.16 254.08 3,440.67 

Marshall 300.95 802.57 373.54 240.80 1,717.86 

Mason 47.46 826.20 245.62 279.06 1,398.34 

Massac 354.55 1,588.31 426.31 84.70 2,453.86 

Menard 9.07 581.93 182.66 114.03 887.69 

Mercer 19.86 967.36 253.01 270.09 1,510.32 

Monroe 21.20 1,741.02 521.51 213.41 2,497.14 

Montgomery 148.12 1,504.73 985.75 298.58 2,937.19 

Morgan 327.37 1,284.85 676.67 258.08 2,546.96 

Moultrie 327.78 657.10 300.12 143.53 1,428.52 

Ogle 1,162.16 1,679.43 1 ,209.18 1,243.43 5,294.20 

Peoria 2,252.66 3,174.64 3,045.37 1,252.61 9,725.28 

Perry 42.72 903.49 387.17 163.40 1,496.77 

Piatt 48.46 814.53 449.25 172.22 1,484.47 

Pike 87.69 1,418.31 500.38 263.42 2,269.79 

Pope 2.05 251.22 93.50 42.44 389.21 

Pulaski 0.25 440.48 239.25 56.50 736.48 

Putnam 110.90 301.01 112.85 174.53 699.29 

Randolph 353.48 1,221.59 509.46 329.23 2,413.76 

Richland 73.40 985.24 295.96 115.13 1,469.73 

Rock Island 1,133.85 2,646.08 2,382.99 971.91 7,134.83 

St. Clair 1,061.60 4,640.10 3,683.91 1,158.30 10,543.91 

Saline 34.44 926.85 464.77 176.57 1,602.63 

Sangamon 239.10 3,535.55 3,806.03 1,201.68 8,782.37 

Schuyler 12.21 606.03 182.98 72.93 874.15 

Scott 19.63 570.66 177.08 85.19 852.56 

Shelby 53.13 1,318.12 460.96 355.27 2,187.49 

Stark 6.25 452.27 125.33 59.99 643.83 

Stephenson 360.53 1,536.99 762.18 962.63 3,622.33 

Tazewell 599.54 2,728.81 2,265.43 765.04 6,358.82 

Union 63.05 920.92 436.95 133.57 1,554.49 

Vermilion 3,218.83 2,391.46 14,474.74 577.73 7,635.76 

Wabash 26.09 491.60 179.19 81.63 778.52 

Warren 30.43 941.32 383.98 134.60 1,490.33 

Washington 112.64 1,072.19 670.15 141.18 1,996.15 

Wayne 86.47 1,244.65 468.82 137.42 1,937.36 

White 53.26 882.26 412.28 119.36 1 ,467.17 

Whiteside 204.49 1,926.77 1,033.07 463.29 3,627.63 

Will 2,769.36 7,320.74 4,655.86 3,288.15 18,034.11 

Williamson 341.89 1,599.84 1,424.44 425.74 3,791.91 

Winnebago 1,016.15 4,494.54 4,464.13 2,067.47 12,042.28 

Woodford 92.73 1,254.44 860.37 363.43 2,570.96 

E-14 
APPENDIX F 

Nonattainment Township 

Surrogates and Apportionment 
Table F-1: Nonattainment Township Surrogates and Apportionmen

Percent of County Va

Surrogate Category Grundy Kendall 

County County 

Townships Townships 

Area Agricultural Fertilizer 

Agricultural Pesticide Application 

Agricultural Tilling 13.0 12.0 

Forest Fires 

Prescribed Burning 

Houses Construction- Residential 16.0 52.0 

Construction- Nonresidential 

Inverse Population Density Animal Husbandry 3.2 0.8 

Miles of Roadway Asphalt Paving 

Construction- Roadway 11.0 23.0 

Pavement Markings 

Miles of Water Marine Vessel VOL Loading and Transport 50.0 0.0 

Population Architectural Coating 

Automobile Refinishing 

Commercial Cooking Consumer Solvent Use 

Dry Cleaning 

Fuel Combustion- Commercial/Institution 

Fuel Combustion- Industrial Fuel Combustion 

Fuel Combustion- Residential 17.0 52.0 

Graphic Arts 

Incineration 

Industrial Coating Industrial Waste Water Treatment 

Open Burning 

Portable Fuel Containers 

POTWs 

Solvent Cleaning Structure Fires 

VMT Gasoline Marketing 22.0 30.0 

On-road Mobile 

..... 

F-1 

APPENDIX G 

Sample County Level Activity Data 
Table G-1: County Level Activity Data 

County Population Rural Road Miles Corn Soybean 

Population Acreage Acreage 

Adams 67,631 22,734 1,858.08 130,000 127,000 

Alexander 9,469 5,567 437.00 11,000 40,000 

Bond 17,929 10,772 844.92 56,000 86,000 

Boone 44,620 13,561 673.78 74,000 56,000 

Brown 6,871 2,874 525.39 47,000 38,000 

Bureau 35,239 21,863 1,793.90 253,000 174,000 

Calhoun 5,052 5,052 373.13 19,000 20,000 

Carroll 16,348 12,915 829.24 131,000 60,000 

Cass 13,665 7,545 600.41 87,000 60,000 

Champaign 183,159 28,949 2,696.90 277,000 250,000 

Christian 35,215 15,358 1,570.27 192,000 181,000 

Clark 16,942 9,871 1,145.90 107,000 113,000 

Clay 14,168 9,348 1,004.77 70,000 112,000 

Clinton 35,855 14,942 1,061.12 86,000 104,000 

Coles 52,538 12,583 1,269.68 118,000 113,000 

Cook 5,377,507 4,499 11,384.97 7,000 9,000 

Crawford 20,151 11,950 957.27 83,000 95,000 

Cumberland 11,084 11,084 822.35 71,000 75,000 

DeKalb 91,561 20,757 1,404.01 195,000 138,000 

DeWitt 16,547 8,534 854.46 100,000 95,000 

Douglas 19,996 12,607 949.10 131,000 117,000 

DuPage 924,589 891 3,086.12 7,000 4,000 

Edgar 19,264 10,097 1,268.54 161,000 156,000 

Edwards 6,781 6,781 459.72 40,000 41,000 

Effingham 34,275 20,276 1,202.32 100,000 103,000 

Fayette 21,629 13,882 1,521.91 97,000 146,000 

Ford 14,192 6,041 1,047.55 143,000 135,000 

Franklin 39,134 18,234 1 '184.72 38,000 75,000 

Fulton 37,772 20,368 1,561.36 146,000 126,000 

Gallatin 6,191 6,191 533.80 75,000 68,000 

Greene 14,511 9,932 940.52 135,000 99,000 

Grundy 38,839 14,959 925.17 106,000 94,000 

Hamilton 8,422 5,629 931.75 61,000 89,000 

Hancock 19,726 14,099 1,596.71 161,000 152,000 

Hardin 4,775 4,775 282.06 3,000 4,000 

Henderson 8,147 8,032 658.21 91,000 67,000 

Henry 50,614 22,533 1,762.52 218,000 179,000 

Iroquois 30,944 22,394 2,428.01 316,000 286,000 

Jackson 59,631 22,160 1,157.79 27,000 86,000 

Jasper 10,011 6,884 1,068.34 96,000 122,000 

Jefferson 40,286 22,709 1,401.63 42,000 89,000 

Jersey 21,858 13,370 696.68 61,000 59,000 

JoDaviess 22,390 15,980 1,087.79 79,000 43,000 

Johnson 13,130 10,391 576.57 6,000 18,000 

Kane 443,041 27,466 2,130.66 87,000 72,000 

G-1 
Table G-1: County Level Activity Data (continued) 

County Population Rural Road Miles Corn Soybean 

Population Acreage Acreage 

Kankakee 104,657 28,165 1,687.80 181,000 149,000 

Kendall 61,222 15,742 781.21 81,000 69,000 

Knox 55,056 13,740 1,609.24 158,000 136,000 

Lake 674,850 12,053 2,689.46 285,000 248,000 

LaSalle 111,975 33,913 2,653.05 14,000 14,000 

Lawrence 15,207 7,471 850.88 69,000 84,000 

Lee 36,027 15,863 1,473.16 215,000 145,000 

Livingston 39,596 16,314 2,271.29 301,000 287,000 

Logan 30,692 12,721 1,288.87 184,000 161,000 

McDonough 32,653 10,271 1,272.90 150,000 134,000 

McHenry 277,710 33,832 1,896.19 176,000 157,000 

Mclean 154,453 35,605 2,814.33 100,000 127,000 

Macon 112,013 17,823 1,689.10 73,000 100,000 

Macoupin 48,636 28,418 1,796.75 96,000 79,000 

Madison 261,409 37,732 2,604.35 119,000 95,000 

Marion 41,036 17,121 1,423.40 21,000 42,000 

Marshall 13,031 10,516 768.48 142,000 123,000 

Mason 15,924 9,506 961.90 119,000 70,000 

Massac 15,021 7,436 502.98 325,000 303,000 

Menard 12,571 9,451 583.76 82,000 72,000 

Mercer 16,910 13,329 1,064.09 131,000 105,000 

Monroe 29,058 12,904 719.10 51,000 77,000 

Montgomery 30,528 14,380 1,567.22 160,000 153,000 

Morgan 36,173 12,945 1,179.56 132,000 118,000 

Moultrie 14,310 9,762 739.82 88,000 84,000 

Ogle 52,129 25,015 1,606.99 195,000 122,000 

Peoria 182,362 27,373 1,895.88 116,000 91,000 

Perry 22,869 12,736 789.13 51,000 85,000 

Piatt 16,295 11,180 948.37 127,000 121,000 

Pike 17,079 12,974 1,477.13 160,000 97,000 

Pope 4,284 4,284 454.01 5,000 12,000 

Pulaski 7,159 7,159 388.31 17,000 37,000 

Putnam 6,132 6,132 323.45 35,000 28,000 

Randolph 33,641 14,433 1,077.55 59,000 105,000 

Richland 15,934 7,333 894.66 72,000 99,000 

Rock Island 148,171 16,620 1,383.02 68,000 55,000 

St. Clair 257,904 27,439 2,301.60 98,000 56,000 

Saline 26,080 9,546 862.63 46,000 175,000 

Sangamon 190,630 27,879 2,407.99 225,000 62,000 

Schuyler 7,028 3,860 791.41 69,000 46,000 

Scott 5,477 5,477 446.39 56,000 168,000 

Shelby 22,558 17,499 1,655.74 171,000 120,000 

Stark 6,226 6,226 552.61 92,000 69,000 

Stephenson 48,092 18,804 1,301.65 154,000 85,000 

Tazewell 128,107 24,136 1,729.06 143,000 125,000 

G-2 
Table G-1: County Level Activity Data (continued) 

County Population Rural Road Miles Corn Soybean 

Population Acreage Acreage 

Union 18,157 11,384 698.61 16,000 32,000 

Vermilion 83,142 24,594 2,078.59 208,000 218,000 

Wabash 12,605 4,978 464.19 51,000 55,000 

Warren 18,235 8,382 1 '133.77 143,000 120,000 

Washington 15,159 12,038 1,045.46 95,000 149,000 

Wayne 16,997 11,767 1,528.06 85,000 133,000 

White 15,096 9,560 1,141.47 81,000 124,000 

Whiteside 60,354 21,253 1,487.21 211,000 124,000 

Will 559,861 37,160 2,902.94 120,000 116,000 

Williamson 61,713 22,024 1,176.18 11,000 27,000 

Winnebago 282,627 23,484 2,154.77 89,000 61,000 

Woodford 36,100 21,355 1,136.03 137,000 125,000 

G-3 
Table G-2: County Level Commercial/Institutional Fuel Use 

County Natural Gas Distillate Residual Kerosene LPG 

11 os tel Oil (103 gal) Oil (1 03 gal) (1 03 ~al) (1 03 ~al) Adams 1,213.0 412.8 3.4 9.1 238.1 

Alexander 36.5 12.4 0.1 0.3 7.2 

Bond 107.2 36.5 0.3 0.8 21.0 

Boone 254.4 86.6 0.7 1.9 49.9 

Brown 45.7 15.6 0.1 0.3 9.0 

Bureau 288.6 98.2 0.8 2.2 56.6 

Calhoun 20.9 7.1 0.1 0.2 4.1 

Carroll 146.3 49.8 0.4 1. 1 28.7 

Cass 98.0 33.4 0.3 0.7 19.2 

Champaign 2,881.3 980.6 8.0 21.6 565.5 

Christian 372.3 126.7 1.0 2.8 73.1 

Clark 100.2 34.1 0.3 0.8 19.7 

Clay 96.0 32.7 0.3 0.7 18.8 

Clinton 393.5 133.9 1.1 2.9 77.2 

Coles 958.4 326.2 2.7 7.2 188.1 

Cook 104,543.6 35,578.7 291.2 783.2 20,519.1 

Crawford 150.4 51.2 0.4 1.1 29.5 

Cumberland 50.9 17.3 0.1 0.4 10.0 

DeKalb 1,071.8 364.8 3.0 8.0 210.4 

DeWitt 113.8 38.7 0.3 0.9 22.3 

Douglas 195.9 66.7 0.5 1.5 38.4 

DuPage 21,246.9 7,230.8 59.2 159.2 4,170.2 

Edgar 130.9 44.5 0.4 1.0 25.7 

Edwards 30.8 10.5 0.1 0.2 6.1 

Effingham 682.2 232.2 1.9 5.1 133.9 

Fayette 150.6 51.3 0.4 1.1 29.6 

Ford 159.1 54.1 0.4 1.2 31.2 

Franklin 357.7 121.7 1.0 2.7 70.2 

Fulton 300.6 102.3 0.8 2.3 59.0 

Gallatin 18.1 6.2 0.1 0.1 3.6 

Greene 84.2 28.7 0.2 0.6 16.5 

Grundy 511.5 174.1 1.4 3.8 100.4 

Hamilton 30.5 10.4 0.1 0.2 6.0 

Hancock 125.7 42.8 0.4 0.9 24.7 

Hardin 27.8 9.5 0.1 0.2 5.5 

Henderson 49.2 16.7 0.1 0.4 9.7 

Henry 438.9 149.4 1.2 3.3 86.1 

Iroquois 215.7 73.4 0.6 1.6 42.3 

Jackson 745.1 253.6 2.1 5.6 146.2 

Jasper 638.8 23.4 0.2 0.5 13.5 

Jefferson 566.2 192.7 1.6 4.2 111. 1 

Jersey 117.9 40.1 0.3 0.9 23.1 

JoDaviess 214.2 72.9 0.6 1.6 42.0 

Johnson 53.0 18.0 0.1 0.4 10.4 

Kane 6,141.2 2,090.0 17.1 46.0 1,205.3 

G-4 
Table G-2: County Level Commercial/Institutional Fuel Use 

(continued) 

County Natural Gas Distillate Residual Kerosene LPG 

(1 o• tt3l Oil (1 03 !.lal) Oil (1 03 gal) 1103 !.lall (1 03 1.1al) 

Kankakee 1,497.7 509.7 4.2 11.2 294.0 

Kendall 475.4 161.8 1.3 3.6 93.3 

Knox 817.4 278.2 2.3 6.1 160.4 

Lake 10,941.3 3,723.6 30.5 82.0 2,147.5 

LaSalle 1,601.5 545.0 4.5 12.0 314.3 

Lawrence 84.5 28.8 0.2 0.6 16.6 

Lee 405.7 138.1 1.1 3.0 79.6 

Livingston 329.5 112.2 0.9 2.5 64.7 

Logan 316.6 107.7 0.9 2.4 62.1 

McDonough 303.8 103.4 0.8 2.3 59.6 

McHenry 2,917.5 992.9 8.1 21.9 572.6 

Mclean 3,524.0 1,199.3 9.8 26.4 691.7 

Macon 1,696.0 577.2 4.7 12.7 332.9 

Macoupin 297.0 101.1 0.8 2.2 58.3 

Madison 3,266.7 1,111.7 9.1 24.5 641.2 

Marion 402.8 137.1 1.1 3.0 79.1 

Marshall 73.5 25.0 0.2 0.6 14.4 

Mason 90.4 30.8 0.3 0.7 17.7 

Massac 85.7 29.2 0.2 0.6 16.8 

Menard 51.9 17.7 0.1 0.4 10.2 

Mercer 67.0 22.8 0.2 0.5 13.2 

Monroe 263.1 89.5 0.7 2.0 51.6 

Montgomery 268.8 91.5 0.7 2.0 52.8 

Morgan 470.7 160.2 1.3 3.5 92.4 

Moultrie 94.8 32.3 0.3 0.7 18.6 

Ogle 438.0 149.1 1.2 3.3 86.0 

Peoria 3,675.2 1,250.8 10.2 27.5 721.3 

Perry 140.5 47.8 0.4 1.1 27.6 

Piatt 108.2 36.8 0.3 0.8 21.2 

Pike 116.9 39.8 0.3 0.9 22.9 

Pope 13.1 4.5 0.0 0.1 2.6 

Pulaski 50.7 17.3 0.1 0.4 10.0 

Putnam 30.5 10.4 0.1 0.2 6.0 

Randolph 295.4 100.5 0.8 2.2 58.0 

Richland 204.2 69.5 0.6 1.5 40.1 

Rock Island 2,227.9 758.2 6.2 16.7 437.3 

St. Clair 3,450.2 1,174.2 9.6 25.8 677.2 

Saline 237.8 80.9 0.7 1.8 46.7 

Sangamon 6,169.5 2,099.6 17.2 46.2 1,210.9 

Schuyler 43.8 14.9 0.1 0.3 8.6 

Scott 18.6 6.3 0.1 0.1 3.6 

Shelby 175.6 59.8 0.5 1.3 34.5 

Stark 31.7 10.8 0.1 0.2 6.2 

Stephenson 404.6 137.7 1.1 3.0 79.4 

Tazewell 1,786.8 608.1 5.0 13.4 350.7 

G-5 
Table G-2: County Level Commercial/Institutional Fuel Use 

(continued) 

County Natural Gas Distillate Residual Kerosene LPG 

(106 ft3

) Oil (1 03 gal) Oil (1 03 gal) (103 gal) (1 03 gal) 

Union 77.1 26.3 0.2 0.6 15.1 

Vermilion 1,086.0 369.6 3.0 8.1 213.1 

Wabash 68.4 23.3 0.2 0.5 13.4 

Warren 120.1 40.9 0.3 0.9 23.6 

Washington 110.5 37.6 0.3 0.8 21.7 

Wayne 141.0 48.0 0.4 1.1 27.7 

White 140.6 47.9 0.4 1.1 27.6 

Whiteside 602.1 204.9 1.7 4.5 118.2 

Will 4,692.6 1,597.0 13.1 35.2 921.0 

Williamson 764.5 260.2 2.1 5.7 150.0 

Winnebago 4,522.8 1,539.2 12.6 33.9 887.7 

Woodford 337.0 114.7 0.9 2.5 66.1 

G-6 
Table G-3: County Level Industrial Fuel Use 

County Natural Gas Distillate Residual 

(106 ft3

) Oil (1 03 gall Oil (1 03 !:!all 

Adams 2,006.3 448.2 27.5 

Alexander 60.1 13.4 0.8 

Bond 272.7 60.9 3.7 

Boone 1,496.5 334.3 20.5 

Brown 22.3 5.0 0.3 

Bureau 795.0 177.6 10.9 

Calhoun 22.3 5.0 0.3 

Carroll 339.1 75.8 4.7 

Cass 797.6 178.2 10.9 

Champaign 3,608.1 806.1 49.5 

Christian 658.1 147.0 9.0 

Clark 569.5 127.2 7.8 

Clay 809.5 180.8 11.1 

Clinton 450.4 100.6 6.2 

Coles 991.6 221.5 13.6 

Cook 107,756.3 24,073.8 1,478.8 

Crawford 838.8 187.4 11.5 

Cumberland 139.9 31.2 1.9 

DeKalb 1,857.1 414.9 25.5 

DeWitt 235.9 52.7 3.2 

Douglas 1,282.8 286.6 17.6 

DuPage 24,095.8 5,383.2 330.7 

Edgar 643.6 143.8 8.8 

Edwards 649.2 145.0 8.9 

Effingham 1,476.1 329.8 20.3 

Fayette 382.1 85.4 5.2 

Ford 284.9 63.7 3.9 

Franklin 544.6 121.7 7.5 

Fulton 93.1 20.8 1.3 

Gallatin 23.7 5.3 0.3 

Greene 94.2 21.1 1.3 

Grundy 569.8 127.3 7.8 

Hamilton 30.8 6.9 0.4 

Hancock 649.2 145.0 8.9 

Hardin 22.3 5.0 0.3 

Henderson 3.7 0.8 0.1 

Henry 566.9 126.6 7.8 

Iroquois 355.4 79.4 4.9 

Jackson 442.2 98.8 6.1 

Jasper 116.5 26.0 1.6 

Jefferson 1,005.7 224.7 13.8 

Jersey 39.7 8.9 0.5 

JoDaviess 692.6 154.7 9.5 

Johnson 22.3 5.0 0.3 

Kane 13,484.0 3,012.4 185.1 

G-7 
Table G-3: County Level Industrial Fuel Use (continued) 

County Natural Gas Distillate Residual 

(1 06 ttl) Oil (1 03 gal) Oil (1 03 gal) 

Kankakee 2,144.6 479.1 29.4 

Kendall 1,502.5 335.7 20.6 

Knox 1,479.1 330.4 20.3 

Lake 19,828.8 4,429.9 272.1 

LaSalle 2,225.9 497.3 30.5 

Lawrence 244.1 54.5 3.4 

Lee 1,000.5 223.5 13.7 

Livingston 1,144.8 255.8 15.7 

Logan 582.8 130.2 8.0 

McDonough 546.5 122.1 7.5 

McHenry 7,180.7 1,604.2 98.5 

Mclean 2,709.3 605.3 37.2 

Macon 4,003.6 894.4 54.9 

Macoupin 366.2 81.8 5.0 

Madison 6,697.3 1,496.2 91.9 

Marion 1,268.4 283.4 17.4 

Marshall 386.2 86.3 5.3 

Mason 161.0 36.0 2.2 

Massac 226.3 50.6 3.1 

Menard 6.3 1.4 0.1 

Mercer 118.7 26.5 1.6 

Monroe 113.5 25.4 1.6 

Montgomery 482.3 107.7 6.6 

Morgan 1,250.9 279.5 17.2 

Moultrie 359.5 80.3 4.9 

Ogle 1,842.3 411.6 25.3 

Peoria 4,224.7 943.8 58.0 

Perry 594.7 132.9 8.2 

Piatt 163.6 36.6 2.2 

Pike 64.2 14.3 0.9 

Pope 3.7 0.8 0.1 

Pulaski 48.6 10.9 0.7 

Putnam 146.9 32.8 2.0 

Randolph 1,266.5 283.0 17.4 

Richland 352.1 78.7 4.8 

Rock Island 4,045.1 903.7 55.5 

St. Clair 2,461.1 549.8 33.8 

Saline 179.2 40.0 2.5 

Sangamon 1,442.4 322.2 19.8 

Schuyler 44.5 9.9 0.6 

Scott 3.7 0.8 0.1 

Shelby 485.2 108.4 6.7 

Stark 44.5 9.9 0.6 

Stephenson 2,130.5 476.0 29.2 

Tazewell 5,195.6 1,160.7 71.3 

G-8 
Table G-3: County Level Industrial Fuel Use (continued) 

County Natural Gas Distillate Residual 

c1o6 te> Oil (103 aal) Oil (1 03 aal) 

Union 210.3 47.0 2.9 

Vermilion 2,132.8 476.5 29.3 

Wabash 203.3 45.4 2.8 

Warren 595.4 133.0 8.2 

Washington 580.6 129.7 8.0 

Wayne 404.4 90.3 5.5 

White 106.8 23.9 1.5 

Whiteside 1,880.9 420.2 25.8 

Will 6,907.2 1,543.1 94.8 

Williamson 1,094.4 244.5 15.0 

Winnebago 11,668.0 2,606.7 160.1 

Woodford 933.0 208.4 12.8 

G-9 
Table G-4: County Level Residential Fuel Use 

County Natural Distillate LPG Coal Kerosene Wood 

Gas Oil (1 03 gal) (tons) (103 gal) (tons) 

(106 ft3

l (103 aal) 

Adams 2,401.8 60.6 2,160.1 189.6 31.8 8,302.1 

Alexander 230.4 24.5 897.0 0.0 12.8 4,227.7 

Bond 386.2 111.9 1,847.6 0.0 58.7 4,387.6 

Boone 1,425.5 118.3 1,198.3 0.0 62.1 3,509.2 

Brown 144.6 9.2 512.7 0.0 4.8 2,254.6 

Bureau 1,362.0 119.5 1,939.6 54.2 62.7 2,198.3 

Calhoun 64.0 8.4 1,061.8 135.4 4.4 5,777.3 

Carroll 523.1 105.9 1,615.0 0.0 55.5 3,930.3 

Cass 470.6 3.6 795.9 0.0 1.9 1,941.5 

Champaign 6,212.7 156.1 3,451.4 135.4 81.8 6,144.4 

Christian 1,225.4 31.7 1,900.2 54.2 16.6 2,455.1 

Clark 466.7 24.9 2,268.3 0.0 13.0 5,734.5 

Clay 373.6 6.4 2,039.7 0.0 3.4 7,775.1 

Clinton 967.6 32.5 2,609.1 0.0 17.0 12,439.7 

Coles 1,633.1 34.5 1,639.3 0.0 18.1 4,200.6 

Cook 212,812.9 3,801.9 29,945.5 16,357.3 1,993.9 31,967.5 

Crawford 642.5 18.5 1,682.7 0.0 9.7 4,160.1 

Cumberland 219.9 16.4 1,912.3 0.0 8.6 5,734.5 

DeKalb 2,914.0 257.5 2036.7 0.0 135.1 1,684.8 

DeWitt 588.1 31.3 1,241.8 0.0 16.4 367.1 

Douglas 622.0 47.7 1 '164.0 541.6 25.0 2,441.5 

DuPage 36,084.0 143.2 1,659.5 514.5 75.1 5,162.4 

Edgar 631.8 30.1 1,722.2 0.0 15.8 2,768.1 

Edwards 204.4 14.4 593.6 0.0 7.6 3,606.0 

Effingham 913.3 32.9 2,692.0 162.5 17.3 10,178.3 

Fayette 536.9 32.1 2,816.4 27.1 16.8 8,653.5 

Ford 488.6 57.0 941.5 108.3 29.9 664.4 

Franklin 1,085.3 23.3 1,715.1 650.0 12.2 8,896.8 

Fulton 1,335.4 33.7 2,296.6 54.2 17.7 5,574.6 

Gallatin 213.3 3.6 542.0 0.0 1.9 664.4 

Greene 447.0 36.9 1,320.7 0.0 19.4 4,525.0 

Grundy 1,356.6 28.9 1,278.2 0.0 15.1 6,565.6 

Hamilton 198.4 8.0 1,242.8 270.8 4.2 8,315.7 

Hancock 558.7 73.4 1,513.9 0.0 38.5 4,414.6 

Hardin 132.2 9.2 479.3 0.0 4.8 1,997.8 

Henderson 251.4 29.3 1,009.2 0.0 15.4 2,268.1 

Henry 1,946.0 95.5 2,742.5 0.0 50.1 4,133.1 

Iroquois 963.9 197.8 2,451.3 0.0 103.7 1,997.8 

Jackson 1,306.3 61.0 2,026.6 487.5 32.0 14,457.8 

Jasper 204.9 18.1 1,834.4 0.0 9.5 5,561.0 

Jefferson 881.3 45.7 3,854.9 162.5 24.0 16,403.8 

Jersey 418.7 59.4 2,938.7 0.0 31.1 9,281.9 

JoDaviess 604.9 223.9 2,733.4 0.0 117.4 4,768.2 

Johnson 84.7 8.8 1,539.1 297.9 4.6 5,804.3 

Kane 15,181.5 169.7 2,133.8 270.8 89.0 8,094.9 

G-10 
Table G-4: County Level Residential Fuel Use (continued) 

County Natural Distillate LPG Coal Kerosene Wood 

Gas Oil (103 gal) (tons) (1 03 gal) (tons) 

(1 06 ft3

) (1 03 ~al) 

Kankakee 3,699.1 112.3 3,297.7 0.0 58.9 3,633.0 

Kendall 1,989.3 75.4 1,245.9 0.0 39.6 2,232.1 

Knox 2,116.4 48.5 2,237.9 162.5 25.5 4,525.0 

Lake 24,070.1 195.4 1,619.0 0.0 102.5 13,903.7 

LaSalle 4,456.8 207.0 3,566.7 487.5 108.6 3,833.5 

Lawrence 528.6 14.8 1,265.1 0.0 7.8 2,144.2 

Lee 1,163.1 120.4 1,813.2 0.0 63.1 1,874.0 

Livingston 1,334.8 84.2 1,946.7 0.0 44.2 1,390.0 

Logan 978.9 82.6 1,417.8 216.7 43.3 650.9 

McDonough 1,010.0 36.5 1,832.4 297.9 19.1 3,847.0 

McHenry 9,852.7 107.1 2,713.2 54.2 56.2 19,771.1 

Mclean 5,723.1 144.8 3,191.5 0.0 76.0 2,781.6 

Macon 4,604.4 43.3 2,124.7 189.6 22.7 3,847.0 

Macoupin 1,543.5 71.0 4,195.7 0.0 37.2 11,678.4 

Madison 9,294.4 583.7 6,007.9 54.2 306.1 32,618.4 

Marlen 1,358.1 36.1 3,171.3 0.0 18.9 13,027.6 

Marshall 405.9 33.3 1,267.1 0.0 17.5 810.8 

Mason 488.4 27.7 1,586.7 108.3 14.5 3,335.7 

Massac 466.5 36.9 1,150.8 0.0 19.4 2,538.4 

Menard 379.0 8.0 1,139.7 0.0 4.2 2,144.2 

Mercer 501.2 108.3 1,789.9 0.0 56.8 3,930.3 

Monroe 582.6 44.1 2,924.6 81.2 23.1 16,480.4 

Montgomery 938.9 46.5 2,203.5 0.0 24.4 6,671.4 

Morgan 1,146.8 36.9 2,025.6 54.2 19.4 4,711.9 

Moultrie 424.0 32.9 1,102.3 0.0 17.3 1,403.2 

Ogle 1,601.7 233.9 3,034.8 0.0 122.7 3,522.7 

Peoria 6,919.9 72.2 3,693.1 406.2 37.9 6,980.0 

Perry 584.6 24.9 1,496.7 379.1 13.0 6,061.1 

Piatt 587.4 41.7 1,036.5 0.0 21.9 581.1 

Pike 528.6 15.2 1,266.1 0.0 8.0 8,002.6 

Pope 59.9 12.0 700.8 0.0 6.3 2,227.6 

Pulaski 144.4 16.8 829.2 0.0 8.8 3,862.8 

Putnam 203.7 28.5 471.2 0.0 14.9 527.1 

Randolph 807.4 124.4 2,234.9 0.0 65.2 8,342.7 

Richland 554.4 7.2 1,194.3 0.0 3.8 8,572.4 

Rock Island 6,657.9 71.0 1,749.5 0.0 37.2 4,525.0 

St. Clair 8,702.5 322.9 5,442.6 0.0 169.4 19,106.6 

Saline 871.1 15.2 1,315.7 54.2 8.0 4,468.7 

Sangamon 7,337.7 24.1 4,589.1 135.4 12.6 4,468.7 

Schuyler 186.1 39.7 661.4 54.2 20.8 4,698.4 

Scott 159.2 13.2 565.3 0.0 6.9 2,295.1 

Shelby 582.9 46.9 3,076.3 0.0 24.6 6,385.4 

Stark 186.2 25.7 681.6 0.0 13.5 623.9 

Stephenson 1,751.6 234.7 2,695.0 0.0 123.1 4,387.6 

Tazewell 4,937.9 365.0 3,667.8 81.2 34.1 6,088.18 

G-11 
Table G-4: County Level Residential Fuel Use (continued) 

County Natural Distillate LPG Coal Kerosene Wood 

Gas Oil (1 03 gal) (tons) (1 03 gal) (tons) 

(106 ft3

) (1 03 gal) 

Union 366.2 23.7 1,796.0 216.7 12.4 11,070.3 

Vermilion 3,081.3 104.3 3,197.6 0.0 54.7 6,752.5 

Wabash 346.2 218.6 1,254.0 0.0 114.7 2,144.2 

Warren 599.2 114.3 1,346.0 0.0 60.0 2,441.54 

Washington 329.7 52.2 1,710.0 243.7 27.4 5,790.8 

Wayne 419.8 27.3 2,635.3 54.2 14.3 9,667.1 

White 479.9 2.4 1,677.7 0.0 1.3 4,995.7 

Whiteside 2,214.4 81.8 2,767.8 0.0 42.9 5,520.5 

Will 19,055.2 130.0 3,826.6 270.8 68.2 20,417.5 

Williamson 1,380.4 42.9 1,682.7 1,137.4 22.5 11,962.2 

Winnebago 12,001.4 302.9 2,281.4 189.6 158.9 5,520.5 

Woodford 1,131.5 73.0 2,172.2 0.0 38.3 3,509.2 

G-12 
County In! 

01 

Adams 120,106 Alexander 41,613 

Bond 458,205 

Boone 434,957 

Brown 0 

Bureau 664,188 

Calhoun 0 Carroll 0 

Cass 0 

Champaign 1,174,967 Christian 0 Clark 600,076 

Clay 4,352 Clinton 167,733 Coles 298,598 Cook 0 Crawford 0 Cumberland 561,818 

DeKalb 285,982 DeWitt 96,358 

Douglas 295,028 DuPage 0 

Edgar 0 

Edwards 0 

Effingham 775,029 

Fayette 587,191 

Ford 94,906 Franklin 387,623 

Fulton 0 

Gallatin 0 

Greene 0 Grundy 893,562 

Hamilton 0 

Hancock 0 

Table G-5: Average Daily Vehicle Miles of Travel (ADVMT) 

by County and HPMS Functional Class 

Rural Urban 

OPA MinAr! Maj Col Min Col Local In! OEF OPA Min Art Coli 

02 06 07 08 09 11 12 13 16 17 

141,876 240,411 172,012 19,682 125,440 0 0 143,749 215,162 163,899 

87,044 96,601 59,843 3,623 50,866 0 0 0 0 0 

635 104,100 99,284 14,068 67,473 0 0 20,606 28,208 8,883 

63,156 250,779 185,506 19,936 157,081 78,728 0 97,141 88,026 20,787 61,341 21,666 40,859 2,493 34,690 0 0 0 0 0 

43,419 183,371 201,158 29,164 145,095 40,535 0 64,710 68,842 15,615 29,949 4,177 47,139 6,897 21,816 0 0 0 0 0 

85,102 161,247 75,115 3,620 103,032 0 0 0 0 0 

22,890 128,687 47,496 5,334 51,587 0 0 23,832 32,617 5,427 

81,227 350,407 475,339 18,867 272,542 527,598 0 578,326 657,224 290,673 

95,790 247,944 135,822 6,316 131,275 0 0 135,696 55,832 38,169 90,101 42,207 160,212 13,972 143,458 0 0 0 0 0 

157,697 21,246 79,926 2,930 102,188 0 0 19,509 36,666 12,391 190,862 234,577 248,867 31,468 144,788 0 0 17,161 8,269 10,011 

29,278 168,099 178,768 4,122 111,709 54,105 0 333,951 167,852 89,237 

0 0 0 0 0 30,853,342 1,654,948 20,599,346 17,951,753 13,091,241 

81,855 91,429 95,949 6,124 115,784 0 0 43,395 26,806 14,820 

0 126,219 99,707 1,781 55,960 0 0 0 0 0 

113,609 362,031 287,078 39,163 259,040 44,679 0 224,541 220,237 66,911 158,250 107,086 49,499 903 62,771 0 8,680 38,455 11,555 10,326 116,128 154,317 101,653 10,737 116,140 0 0 0 0 0 

0 0 0 0 0 7,106,382 188,531 6,923,339 4.877,443 1,815,217 

134,006 113,432 58,894 6,119 74,454 0 0 61,523 23,101 12,903 

13,193 107,510 35,224 893 49,119 0 0 0 0 0 

54,657 173,242 242,331 12,240 123,661 150,322 0 147,706 81,303 34,245 

85,394 55,749 126,694 13,238 128,342 65,499 0 44,574 36,762 7,734 

67,446 127,111 70,423 2,839 101,649 0 0 0 0 0 

0 329,227 138,122 908 142,707 185,636 0 113,005 69,665 31,213 

182,925 308,989 125,129 1,824 119,807 0 0 70,543 31,601 30,060 

79,791 51,386 50,149 7,116 47,688 0 0 0 0 0 

121,667 98,335 56,027 10,075 54,782 0 0 0 0 0 116,510 26,970 266,857 23,422 129,196 110,699 0 84,726 68,714 13,169 

0 127,743 34,017 3,042 76,989 0 0 0 0 0 

144,282 187,387 90,849 1,530 153,232 0 0 0 0 0 

G-13 
County lnt 

01 

Hardin 0 Henderson 0 

Henry 765,065 

Iroquois 547,240 

Jackson 0 Jasper 0 Jefferson 949,030 Jersey 0 JoDaviess 0 Johnson 395,274 

Kane 701,912 Kankakee 219,830 Kendall 0 

Knox 410,643 

Lake 0 LaSalle 1,128,357 Lawrence 0 

Lee 731,263 

Livingston 696,316 Logan 826,343 McDonough 0 McHenry 391.277 

Mclean 1,649,573 

Macon 264,546 Macoupin 285,004 Madison 1,000,285 Marion 403.585 Marshall 219,468 Mason 0 Massac 204.123 Menard 0 Mercer 0 Monroe 0 Montoomerv 711.705 

Table G-5: Average Daily Vehicle Miles of Travel (ADVMT) 

by County and HPMS Functional Class (continued) 

Rural Urban 

OPA Min Art Maj Col Min Col Local lnt OEF OPA Min Art Coli 

02 06 07 08 09 11 12 13 16 17 

0 85,600 8,466 5,280 27,777 0 0 0 0 0 

109,633 109,638 50,952 308 60,890 0 0 0 0 0 

0 259,784 345,233 7,880 158.444 100,414 0 87,909 82,011 21,956 

235,602 116,651 228,874 6,090 185,483 0 0 41,100 5,907 9,546 

165,357 151,552 155,028 10,295 100,075 0 0 407,985 169,494 84,797 

0 203,383 61,269 4,940 97,428 0 0 0 0 0 

17,318 170,294 196,421 15,647 156,249 102,120 0 158,627 83,640 41,127 

244,746 36,039 114,814 10,836 59,919 0 0 51,813 13,733 14,560 273,244 43,504 85,427 12,861 127,375 0 0 57,835 4,412 3,087 

46,755 109,245 63,913 1,509 55,975 0 0 0 0 0 

651,331 93,941 502,920 114,822 234,319 915,391 171,464 1,463,552 1,783,491 616,362 

226,915 192,050 322,761 56,249 199,309 345,666 0 429,188 241,236 129,191 

344,704 146,718 327,692 814 202,182 0 0 321,341 111,954 43,962 

0 182,742 226,017 14,738 138,236 57,236 73,228 21.802 266,847 66,342 0 0 0 0 0 2,688,913 287,197 5,683,947 4,493,504 1,020,062 

79,180 486,783 513,008 11,477 290,041 346,128 0 394,860 233,418 109,329 

198,965 22,872 140,927 8,096 97,281 0 0 0 0 0 

154,113 193,149 169,248 21,502 115,942 3,396 0 122,452 52.158 20,071 185,640 249,669 211,355 4,338 183,549 29,526 0 50,040 25,254 31,950 101,836 71,942 141,431 11,932 96,346 0 0 58,287 70,539 23,772 193,129 110,363 87,641 2,970 114,419 0 0 90,988 50,330 42,998 

678,993 0 224,576 76,514 176,475 0 0 1,851,551 788,753 649,633 

257,249 159,447 464,663 8,414 240,037 602,371 37,989 594,571 653,825 212,900 

221,775 70,026 150,873 9,427 137,170 158,681 62,763 766,948 530,663 190,223 

89,373 355,191 235,272 29,572 230,166 0 0 26,496 7,616 17,810 

150,550 358,165 197,763 34,726 196,608 1,505,211 110,783 1,932,279 901,254 497,540 186,010 43,552 195,665 11,449 140,113 13,999 0 170,374 56,936 58,676 

68,860 130,730 75,044 9,518 67,047 0 0 0 0 0 

59,555 100,198 103,021 9,304 103,190 0 0 0 0 0 

0 29,005 157,185 9,356 63,321 46,302 0 54,653 16,387 18,303 

0 139,183 71,333 9,166 50,981 0 0 0 0 0 

71,766 102,310 116,517 8,685 87,273 0 0 0 0 0 

173,582 74,916 71,374 4,659 70,389 175,551 47,444 168,015 60,543 17,399 129,408 134,116 195,890 18,834 157.540 7,224 0 36,411 31,135 17,497 

G-14 
County In! 

01 

Morgan 201,588 Moultrie 0 

Ogle 551,529 

Peoria 389,555 Perry 0 Piatt 380,124 Pike 265,725 Pope 0 Pulaski 168,945 Putnam 3,125 Randolph 0 Richland 0 Rock Island 384,273 

St. Clair 163,290 Saline 0 Sangamon 1,083,901 Schuyler 0 Scott 88,422 Shelby 54,564 Stark 0 Stephenson 0 

Tazewell 360,403 

Union 171,800 

Vermilion 335,485 

Wabash 0 Warren 0 Washington 536,008 Wayne 218,670 White 127,913 Whiteside 317,594 Will 954,630 Williamson 455,850 Winnebago 375,173 Woodford 576,960 

Total 28,608,656 

Table G-5: Average Daily Vehicle Miles of Travel (ADVMT) 

by County and HPMS Functional Class (continued) 

Rural Urban 

OPA Min Art Maj Col Min Col Local In! OEF OPA Min Art Coli 

02 06 07 08 09 11 12 13 16 17 

155,435 122,547 125,739 17,857 78,989 5,633 0 123,639 66,434 58,949 

189,639 114,556 61,339 8,340 70,838 0 0 0 0 0 

239,410 318,151 362,395 21,125 178,792 42,725 0 45,250 47,750 15,622 

332,076 229,872 384,227 38,685 140,771 429,060 91,882 967,723 961,458 316,128 

135,578 137,785 52,086 4,837 67,647 0 0 109,056 7,316 27,284 

0 108,858 94,778 4.954 97,602 0 0 0 0 0 

134,036 105,311 109,527 11,981 114,812 0 0 0 0 0 

0 90,899 19,015 990 27,643 0 0 0 0 0 

0 51,246 95,244 1,249 37,798 0 0 0 0 0 

19,635 81,528 27,893 2,060 38,179 0 0 0 0 0 

232,264 172,680 126,385 22,686 108,107 0 0 60,438 13,695 2,615 

95,611 77,594 61,771 1,594 73,721 0 0 45,047 42,937 15,088 

178,342 92,685 215,063 22,615 80,406 414,416 34,302 722,406 883,910 271,551 174,232 516,292 193,527 34,414 135,493 2,152,118 30,998 1,375,495 1,324,490 569.442 

188,821 168,805 51,598 8,698 111,791 0 0 90,570 724 35,437 

91,541 483,061 383,094 17,962 192,436 714,654 0 1,039,652 929,556 325,492 

127,663 50,810 41,476 212 59,404 0 0 0 0 0 

13,001 64,603 57,943 7,556 30,849 0 0 0 0 0 

188,973 136,329 135,217 18,049 149,910 0 0 0 0 0 

0 72,422 68,936 5,694 44,424 0 0 0 0 0 

353,487 96,372 228,986 16,719 131,702 0 0 104,316 117,255 53,175 

19,536 206,861 391,292 6,001 198,626 591,935 0 793,336 416,238 245,329 

183,637 0 102,404 11,359 55,334 0 0 68,706 15,478 17,397 165,553 114,456 330,189 15,081 205,694 132,183 0 409,601 257,840 98,923 

59,520 29,179 43,879 5,215 29,248 0 0 45,849 12,283 18,023 

229,311 45,291 82,900 19,807 88,831 0 0 41,837 37,844 21,099 

103,809 141,017 110,285 16,638 83,155 0 0 0 0 0 

79,038 100,570 90,675 3,752 121,705 D 0 49,305 2,142 10,728 

150,711 94,449 62,739 4,129 98,055 0 0 43,977 9,690 5,487 

255,057 122,080 259,027 15,445 158,487 24,000 0 141,712 183,677 28,795 

510,951 89,279 337,905 16,332 446,217 2,957,954 0 2,613,606 1,948,353 857,470 

257,820 80,342 34D,055 24,057 184,327 109,222 0 286,399 151,900 117,398 

186,991 126,032 349,759 29,674 167,599 715,954 294,801 1,842,413 1,456,383 515,767 

97,983 290,191 188,771 7,414 153,077 0 0 0 0 0 

13,115,332 14,268,593 15,934,737 1,329,836 11,857,580 54,605,507 3,095,009 56,849,193 44,391,040 23,369,222 

G-15 
County 

Adams 

Alexander 

Bond 

Boone 

Brown Bureau 

Calhoun 

Carroll Cass 

Champaign Christian 

Clark 

Clay 

Clinton Coles 

Cook. 

Crawford Cumberland 

DeKalb 

DeWitt Douglas 

DuPage 

Edgar 

Edwards 

Effingham 

Fayette Ford Franklin 

Fulton 

Gallatin 

Greene Grundy 

Hamilton 

Hancock 

Table G-6: Average Summer Weekday Vehicle Miles of Travel (ASWV

by County and HPMS Functional Class 

Rural Urban 

lnt OPA Min Art Maj Col Min Col Local lnt OEF OPA Min Art Coli 

01 02 06 07 08 09 11 12 13 16 17 

130,915 153,699 260,446 186,346 21,322 135,893 0 0 157,166 235,243 179,196 

45,358 94,298 104,651 64,830 3,924 55,105 0 0 0 0 0 

499,443 688 112,775 107,558 15,240 73,095 0 0 22,530 30,841 9,712 474,103 68,419 271,677 200,964 21,598 170,172 85,027 0 106,208 96,241 22,727 

0 66,452 23,471 44,264 2,700 37,580 0 0 0 0 0 

723,965 47,037 198,652 217,922 31,594 157,187 43,778 0 70,750 75,267 17,072 

0 32,445 4,525 51,067 7,471 23,634 0 0 0 0 0 

0 92,193 174,684 81,375 3,921 111,618 0 0 0 0 0 

0 24,797 139,411 51,454 5,779 55,886 0 0 26,056 35,662 5,934 

1,280,714 87,996 379,607 514,951 20,439 295,254 569,806 0 632,303 718,565 317,803 

0 103,773 268,606 147,140 6,843 142,215 0 0 148,361 61 ,D43 41,732 

654,083 97,609 45,724 173,563 15,136 155,412 0 0 0 0 0 

4,744 170,838 23,016 86,587 3,174 110,703 0 0 21,330 40,088 13,547 

182,829 206,767 254,125 269,606 34,090 156,854 0 0 18,763 9,040 10,945 

325,472 31,718 182,108 193,666 4,466 121,018 58,433 0 365,120 183,518 97,565 

0 0 0 0 0 0 33,321,609 1,809,410 22,521,951 19,627,250 14.313,091 0 88,676 99,D48 103,944 6,634 125,433 0 0 47,445 29,308 16,203 

612,382 0 136,737 108,015 1,930 60,623 0 0 0 0 0 

311,721 123,076 392,200 311,001 42,426 280,627 48,254 0 245,498 240,793 73,156 

105,030 171,437 116,009 53,624 978 68,002 0 9,490 42,044 12,633 11,290 

321,581 125,805 167,177 110,124 11,632 125,818 0 0 0 0 0 

0 0 0 0 0 0 7,674,892 206,127 7,569,517 5,332,671 1,984,637 

0 145,173 122,885 63,802 6,629 80,658 0 0 67,265 25,257 14,107 0 14,292 116,469 38,160 968 53,213 0 0 0 0 0 

844,782 59,212 187,679 262,525 13,260 133,967 162,348 0 161,492 88,892 37,441 

640,038 92,510 60,395 137,252 14,342 139,037 70,739 0 48,734 40,193 8,456 

103,448 73,067 137,704 76,292 3,076 110,119 0 0 0 0 0 

422,509 0 356,662 149,632 983 154,599 200,487 0 123,552 76,167 34,127 

0 198,169 334,738 135,557 1,976 129,790 0 0 77,126 34,551 32,866 0 86,440 55,668 54,436 7,709 51,662 0 0 0 0 0 

0 131,806 106,530 60,696 10,914 59,348 0 0 0 0 0 

973,983 126,220 29,218 289,096 25,374 139,963 119,555 0 92,634 75,127 14,398 

0 0 138,389 36,852 3,295 83,404 0 0 0 0 0 

0 156,305 203,003 98,420 1,658 166,001 0 0 0 0 0 

-

G-16 
County 

Hardin Henderson Henry 

Iroquois 

Jackson Jasper Jefferson Jersey JoDaviess Johnson 

Kane 

Kankakee Kendall 

Knox Lake LaSalle Lawrence Lee Livingston 

Logan 

McDonough McHenry 

Mclean 

Macon Macoupin Madison Marion Marshall Mason Massac 

Menard Mercer Monroe MontQomery 

Table G-6: Average Summer Weekday Vehicle Miles of Travel (ASWV

by County and HPMS Functional Class (continued) 

Rural Urban 

lnt OPA Min Art Maj Col Min Col Local In! OEF OPA Min Art Coli 

01 02 06 07 08 09 11 12 13 16 17 

0 0 92,734 9,171 5,721 30,092 0 0 0 0 0 

0 118,769 118,774 55,198 334 65,964 0 0 0 0 0 

833,920 0 281,432 374,002 8,536 171,648 108,447 0 96,114 89,666 24,006 

596,492 255,236 126,372 247,947 6,598 200,940 0 0 44,936 6,458 10,436 

0 179,137 164,182 167,947 II ,153 108,415 0 0 446,064 185,313 92,711 

0 0 220,332 66,374 5,352 105,547 0 0 0 0 0 

1,034,443 18,761 184,486 212,789 16,951 169,270 110,290 0 173,432 91,446 44,965 

0 265,t4t 39,D42 124,382 tt.739 64,9t2 0 0 56,649 15.014 t5,919 0 296,015 47,129 92,546 13.933 t37,990 0 0 63,233 4,834 3,376 

430,849 50,651 118,349 69,239 1,635 60,639 0 0 0 0 0 

765,084 705,609 101,769 544,829 124,390 253,846 988,622 187467 2,693,484 1,949,950 673,889 

239,614 245,825 208,054 349,658 60,936 215,918 373.319 0 469,246 263,752 14t,249 

0 373,430 158.944 355,000 882 219,031 0 0 351,333 122,403 48,066 

447,601 0 197,970 244,852 15,966 t49,755 61,815 80,063 23,837 291,753 72,534 

0 0 0 0 0 0 2,904,026 3t4,002 6,2t4,448 4,912,898 1,115,268 

1,229,909 85,778 527,348 555,758 12,434 3t4,212 373,8t8 0 43t,713 255,204 119,533 

0 215,546 24,778 152,670 8,771 t05,388 0 0 0 0 0 

797,077 166,956 209,245 183,352 23,294 t25,603 3,668 0 t33,880 57,026 21,945 

758,985 20t,110 270,475 228,968 4.700 t98,844 31.888 0 54,710 27,611 34,932 

900,7t3 110,323 77,937 153,217 12,927 t04,375 0 0 63.728 77,123 25,990 

0 209,223 tt9,559 94,945 3,217 t23,954 0 0 99,480 55,028 47,0t1 

426,492 735,575 0 243,291 82,890 t91,181 0 0 2,024,363 862,370 710,266 

1,798,035 278,686 172,734 503,385 9,1t5 260,040 650,561 41,535 6.50,065 714,848 232,771 

288,355 240,256 75,861 163,446 10,213 148,601 t71 ,375 68,621 838,530 580,t92 207,977 

310,654 96,821 384,791 254,878 32,036 249,347 0 0 28,969 8,327 19,472 

1,090,3t1 163,095 388,012 2t4,243 37,620 212,991 1,625,628 121,122 2,t12,625 985,372 543,977 

439,908 20t,510 47,182 21t,970 12,403 15t,789 15,tt9 0 186,275 62,250 64,153 

239,220 74,598 14t,624 81,297 10,311 72,634 0 0 0 0 0 

0 64,518 108,548 ttl ,606 10,080 111,789 0 0 0 0 0 

222,494 0 3t,422 170,284 10,136 68,598 50,006 0 59,754 28,850 20,01t 

0 0 150,782 77,278 9,930 55,230 0 0 0 0 0 

0 77,747 110,835 t26,227 9,409 94,545 0 0 0 0 0 0 t88,048 8t ,159 77,321 5,048 76,255 189,595 51,872 183,696 66,194 19,023 

775,759 140,t92 t45,292 212,2t4 20,403 170,668 7,802 0 39,809 351,347 19,130 

G-17 
County 

Morgan 

Moultrie 

Ogle 

Peoria 

Perry 

Piatt Pike 

Pope Pulaski 

Putnam 

Randolph Richland 

Rock Island 

St. Clair 

Saline 

Sangamon 

Schuyler 

Scott Shelby Stark 

Stephenson 

Tazewell 

Union 

Vermilion 

Wabash Warren 

Washington 

Wayne White Whiteside Will Williamson Winnebago 

Woodford 

Total 

Table G-6: Average Summer Weekday Vehicle Miles of Travel (ASWV

by County and HPMS Functional Class (continued) 

Rural Urban 

lnt OPA Min Art Maj Col Min Col Local lnt OEF OPA Min Art Coli 

01 02 06 07 OB 09 11 12 13 16 17 

219,731 168,388 132,759 136,218 19,346 85,571 6,083 0 135,179 72,634 64,451 

0 205,442 124,103 66,451 9,035 76,741 0 0 0 0 0 

601,167 259,361 344,664 392,594 22,885 193,691 46,143 0 49,473 52,206 17,080 

424,614 359,749 249,028 416,245 41,908 152,502 463,385 100,458 1,058,044 1,051,194 345,633 

0 146,876 149,267 56,427 5,240 73,285 0 0 119,234 7,999 29,830 

414,335 0 117,930 102,676 5,367 105,735 0 0 0 0 0 

289,641 145,205 114,087 118,654 12,980 124,380 0 0 0 0 0 

0 0 98,474 20,600 1,073 29,947 0 0 0 0 0 

184,150 0 55,517 103,181 1,353 40,948 0 0 0 0 0 

3,406 21,271 88,322 30,217 2,231 41,361 0 0 0 0 0 

0 251,619 187,070 136,917 24,576 117,116 0 0 66,079 14,973 2,860 

0 103,578 84,061 66,919 1,727 79,864 0 0 49,251 46,944 16,497 

418,858 193,204 100,409 232,985 24,499 87,106 447,569 37,503 789,830 966,408 296,895 

177,986 188,751 559.316 209,654 37,282 146,784 2,324,287 33,891 1,503,874 1,448,109 622,589 

0 204,556 182,873 55,898 9,423 121,106 0 0 99,024 792 38,744 

1,181,452 99,169 523,316 415,018 19,458 208,473 771,827 0 1,136,686 1,016,315 355,872 

0 138,301 55,044 44,932 230 64,354 0 0 0 0 0 

96,380 14,084 69,987 62,771 8,186 33,419 0 0 0 0 0 

59,475 204,721 147,690 146,485 19,553 162,403 0 0 0 0 0 

0 0 78,457 74,681 6,168 48,126 0 0 0 0 0 

0 382,945 104,403 248,068 18,112 142,677 0 0 114,053 128,199 58,138 

392,839 21,164 224,099 423,899 6,501 215,178 639,290 0 867,381 455,087 268,227 

187,262 198,940 0 110,938 12,306 59,946 0 0 75,119 16,922 19,020 

365,678 179,349 123,994 357,705 16,338 222,835 142,758 0 447,830 281,905 108,156 

0 64,480 31,611 47,536 5,650 31,685 0 0 50,129 13,429 19,705 0 248,420 49,065 89,808 21,457 96,234 0 0 45,742 41,376 23,068 

584,249 112,459 152,768 119,475 18,024 90,084 0 0 0 0 0 

238,350 85,625 108,950 98,232 4,064 131,847 0 0 53,907 2,341 11,729 

139,425 163,270 102,320 67,967 4,473 106,227 0 0 48,082 10,594 5,999 

346,177 276,312 132,253 280,613 16,732 171,695 25,920 0 154,938 200,821 31,482 

1,040,546 553,531 96,719 366,064 17,693 483,402 3,194,590 0 2,857,542 2,130,200 937,500 

496,877 279,305 87,037 368,393 26,062 199,688 117,960 0 313,130 166,077 128,355 408,938 202,573 136,535 378,905 32,147 181,565 773,231 322,316 2,014,371 1,592,312 563,905 

628,886 106,148 314.373 204,502 8,032 165,833 0 0 0 0 0 

31,183,435 14,208,276 1M57,643 1,7262,632 1,1:110,655 12,845,711 58,973,948 3,383,877 62,155,117 48,534,204 25,550,349 

G-18 
Table G-7: Monthly VMT by County (million vehicle miles) 

County JAN FEB MAR APR MAY JUN JUL AUG SEP OCT 

Adams 39.016 36.084 42.233 43.208 45.306 45.491 46.082 47.180 44.213 44.261 Alexander 9.119 8.437 9.974 10.193 10.763 10.869 11.213 11.543 10.668 10.698 

Bond 21.794 20.290 24.078 24.318 25.861 26.213 27.123 27.693 25.246 25.441 

Boone 39.210 36.393 42.852 43.488 45.929 46.358 47.584 48.719 44.954 45.227 

Brown 4.332 4.001 4.722 4.842 5.100 5.144 5.297 5.464 5.072 5.079 

Bureau 40.253 37.425 44.253 44.787 47.480 48.035 49.526 50.631 46.407 46.734 

Calhoun 2.958 2.732 3.224 3.306 3.483 3.513 3.617 3.731 3.464 3.468 

Carroll 11.517 10.636 12.553 12.872 13.560 13.675 14.082 14.526 13.484 13.503 

Cass 8.967 8.277 9.720 9.967 10.465 10.524 10.737 11.040 10.316 10.324 

Champaign 131.967 122.451 143.058 145.066 152.472 153.348 155.791 159.127 148.052 149.022 Christian 24.449 22.563 26.446 27.118 28.436 28.567 29.039 29.821 27.938 27.950 Clark 28.016 26.091 31.026 31.328 33.363 33.857 35.157 35.936 32.672 32.935 

Clay 12.212 11.275 13.255 13.588 14.279 14.369 14.688 15.109 14.096 14.109 Clinton 28.507 26.385 31.178 31.834 33.616 33.945 34.980 35.970 33.237 33.340 Coles 41.496 38.420 44.951 45.781 48.079 48.317 48.94 50.043 46.717 46.881 Cook 2,661.280 2,469.219 2,833.671 2,866.318 2,980.291 2,976.259 2,972.136 3,034.273 2,871.269 2,899.519 Crawford 13.450 12.416 14.585 14.955 15.706 15.798 16.127 16.586 15.491 15.503 

Cumberland 22.528 21.009 25.014 25.194 26.878 27.303 28.390 28.976 26.255 26.495 

DeKalb 55.815 51.635 60.565 61.813 64.969 65.354 66.542 68.168 63.546 63.720 DeWitt 15.011 13.893 16.382 16.720 17.633 17.785 18.252 18.735 17.355 17.407 

Douglas 21.246 19.728 23.399 23.754 25.200 25.518 26.422 27.092 24.812 24.953 DuPage 663.331 615.144 706.269 715.147 743.502 742.339 740.656 755.886 715.887 722.302 Edgar 13.715 12.659 14.864 15.241 16.000 16.090 16.409 16.870 15.768 15.779 Edwards 5.540 5.116 6.038 6.192 6.522 6.578 6.774 6.987 6.486 6.495 

Effingham 49.868 46.391 54.660 55.229 58.454 59.079 60.762 62.097 57.024 57.502 

Fayette 31.313 29.158 34.492 34.809 36.954 37.424 38.672 39.517 36.097 36.415 Ford 12.456 11.537 13.654 13.924 14.725 14.883 15.373 15.805 14.563 14.618 Franklin 39.715 36.893 43.279 43.828 46.217 46.612 47.776 48.930 45.208 45.567 Fulton 24.539 22.652 26.626 27.302 28.683 28.861 29.496 30.346 28.322 28.345 

Gallatin 6.355 5.868 6.926 7.102 7.482 7.546 7.770 8.015 7.440 7.451 

Greene 9.170 8.469 9.995 10.249 10.797 10.889 11.213 11.566 10.737 10.752 

Grundy 47.564 44.293 52.354 52.818 56.051 56.747 58.579 59.836 54.690 55.180 

Hamilton 6.504 6.007 7.090 7.270 7.658 7.723 7.953 8.204 7.616 7.626 Hancock 15.530 14.342 16.927 17.357 18.284 18.440 18.989 19.587 18.183 18.208 

G-19 
County JAN 

Hardin 3.419 Henderson 8.916 

Henry 51.735 

Iroquois 37.201 

Jackson 37.496 Jasper 9.873 Jefferson 52.379 Jersey 15.328 

JoDaviess 16.617 

Johnson 17.943 

Kane 260.151 

Kankakee 70.403 Kendall 44.221 

Knox 42.223 

Lake 452.089 LaSalle 102.486 Lawrence 12.594 

Lee 43.488 

Livingston 45.655 

Logan 8.778 

McDonough 19.976 McHenry 156.985 McLean 141.593 Macon 76.914 

Macoupin 34.738 Madison 212.673 Marion 36.159 

Marshall 15.267 

Mason 10.095 Massac 17.166 

Menard 7.281 

Mercer 10.399 

Monroe 25.690 

Montoomerv 39.182 

Table G-7: Monthly VMT by County (million vehicle miles) 

(continued) 

FEB MAR APR MAY JUN JUL AUG SEP OCT 

3.158 3.727 3.822 4.026 4.060 4.181 4.313 4.004 4.009 

8.233 9.718 9.965 10.497 10.587 10.902 11.245 10.439 10.453 

48.089 56.744 57.437 60.805 61.465 63.268 64.704 59.433 59.865 

34.551 40.946 41.543 44.060 44.599 46.102 47.222 43.271 43.523 34.585 40.307 41.329 43.176 43.232 43.468 44.469 41.988 41.974 

9.118 10.762 11.035 11.624 11.724 12.073 12.453 11.560 11.576 

48.749 57.556 58.118 61.608 62.317 64.162 65.501 60.010 60.506 

14.150 16.635 17.058 17.923 18.036 18.439 18.972 17.702 17.718 

15.341 18.059 18.518 19.474 19.611 20.097 20.696 19.278 19.298 

16.714 19.880 20.065 21.375 21.695 22.534 23.027 20.923 21.095 

240.615 279.054 284.398 296.876 297.068 297.744 303.788 286.698 287.674 

65.211 75.961 77.271 80.962 81.286 82.392 84.380 78.947 79.381 

40.805 47.768 48.980 51.320 51.519 52.247 53.610 50.309 50.323 

39.142 45.942 46.702 49.185 49.532 50.491 51.608 47.904 48.127 

418.082 481.239 490.020 509.147 507.774 504.210 513.638 488.700 490.764 

95.175 111.732 113.215 119.411 120.412 123.239 126.055 116.517 117.341 

11.630 13.727 14.076 14.827 14.954 15.399 15.884 14.745 14.765 

40.417 47.831 48.448 51.370 51.971 53.565 54.744 50.188 50.505 42.423 50.211 50.884 53.948 54.591 56.362 57.689 52.878 53.219 

36.102 42.801 43.218 45.934 46.535 48.061 49.030 44.745 45.088 

18.436 21.611 22.160 23.239 23.348 23.739 24.381 22.837 22.848 

144.894 168.448 172.402 179.939 179.958 179.945 183.452 173.594 173.594 131.557 153.971 155.776 164.071 165.248 168.416 171.941 159.290 160.532 

71.107 82.664 84.344 88.141 88.256 88.592 90.396 85.200 85.405 

32.180 38.047 38.783 40.994 41.416 42.696 43.853 40.444 40.597 

197.270 228.551 231.625 242.178 242.710 244.403 249.494 234.128 235.896 

33.528 39.487 40.144 42.370 42.733 43.740 44.735 41.373 41.559 

14.179 16.820 17.069 18.113 18.344 18.997 19.475 17.828 17.932 

9.323 11.003 11.283 11.866 11.987 12.344 12.733 11.820 11.836 

15.943 18.756 19.008 20.074 20.261 20.786 21.269 19.617 19.752 

6.724 7.936 8.138 8.572 8.646 8.903 9.183 8.525 8.537 

9.603 11.334 11.622 12.243 12.348 12.715 13.115 12.175 12.192 

23.790 27.622 28.100 29.379 29.463 29.816 30.578 28.693 28.871 

36.441 43.206 43.717 46.429 47.030 48.631 49.722 45.438 45.756 

G-20 
County JAN 

Morgan 27.335 Moultrie 11.963 

Ogle 49.746 

Peoria 129.656 

Perry 15.691 Piatt 18.316 Pike 19.842 

Pope 3.727 

Pulaski 9.471 Putnam 4.637 Randolph 20.445 

Richland 11.985 

Rock Island 101.743 

St. Clair 204.280 

Saline 18.760 Sangamon 156.338 

Schuyler 7.521 

Scott 7.024 Shelby 18.354 Stark 5.151 

Stephenson 31.820 

Tazewell 96.372 

Union 17.530 

Vermilion 60.917 

Wabash 7.287 Warren 15.958 Washington 26.506 Wayne 18.720 

White 16.491 

Whiteside 42.998 Will 339.453 Williamson 57.741 Winnebago 191.587 Woodford 35.137 

Table G-7: Monthly VMT by County (million vehicle miles) 

(continued) 

FEB MAR APR MAY JUN JUL AUG SEP OCT 

25.304 29.740 30.324 31.925 32.148 32.799 33.580 31.212 31.306 

11.048 13.040 13.371 14.085 14.206 14.628 15.089 14.007 14.026 

46.154 54.545 55.430 58.647 59.280 61.122 62.679 57.671 57.980 

119.938 139.364 142.038 148.455 148.704 149.526 152.707 143.757 144.263 

14.481 16.974 17.405 18.252 18.337 18.642 19.145 17.934 17.943 

17.053 20.274 20.481 21.805 22.123 22.967 23.482 21.363 21.530 

18.421 21.844 22.184 23.529 23.822 24.661 25.292 23.174 23.303 

3.442 4.062 4.165 4.388 4.425 4.557 4.700 4.364 4.370 

8.808 10.461 10.590 11.257 11.412 11.834 12.114 11.052 11.129 

4.283 5.057 5.183 5.461 5.509 5.674 5.851 5.428 5.437 

18.875 22.216 22.780 23.953 24.120 24.711 25.445 23.706 23.730 

11.061 12.970 13.299 13.949 14.016 14.258 14.646 13.714 13.721 

94.177 109.279 111.213 116.199 116.357 116.839 119.212 112.252 112.741 

189.543 218.478 221.153 230.567 230.737 231.893 237.148 223.308 225.416 

17.316 20.331 20.848 21.887 22.009 22.447 23.078 21.570 21.584 

144.973 168.845 171.342 179.671 180.405 182.494 186.337 174.118 175.200 

6.945 8.197 8.405 8.854 8.930 9.196 9.485 8.805 8.817 6.519 7.728 7.853 8.325 8.427 8.721 8.947 8.205 8.248 

16.970 20.050 20.515 21.644 21.848 22.524 23.204 21.478 21.527 

4.757 5.614 5.757 6.064 6.116 6.298 6.496 6.031 6.039 

29.367 34.436 35.310 37.038 37.217 37.864 38.895 36.417 36.436 

89.325 103.699 15.285 110.150 110.456 111.484 113.964 106.869 107.568 

16.245 19.158 19.505 20.593 20.779 21.313 21.832 20.183 20.261 

56.393 65.913 67.146 70.465 70.796 71.791 73.425 68.602 68.862 

6.724 7.871 8.070 8.455 8.488 8.606 8.830 8.287 8.289 

14.731 17.306 17.745 18.636 18.747 19.140 19.685 18.385 18.399 

24.673 29.327 29.638 31.543 31.998 33.209 33.961 30.914 31.151 

17.363 20.524 20.868 22.077 22.309 22.970 23.535 21.671 21.773 15.272 18.026 18.380 19.405 19.585 20.131 20.660 19.099 19.165 

39.813 46.798 47.698 50.229 50.593 51.665 52.914 49.146 49.312 

314.896 363.796 368.491 384.645 385.130 387.145 395.439 371.913 375.031 

53.507 62.752 63.836 67.178 67.628 68.939 70.541 65.555 65.856 

177.147 205.078 209.064 217.951 217.874 217.733 222.025 210.078 210.748 

32.659 38.769 39.287 41.733 42.290 43.830 44.895 41.015 41.281 ,_

G-21 
Table G-8: Aircraft Operations 

Annual Operations Summer Weekday Op

Airport Comm Air Genav Military Total Comm Air Genav 

Taxi Taxi 

Adams County 

Baldwin Field 0 0 19,000 0 19,000 0 0 60 

Alexander County 

Cairo Regional Airport 0 0 9,000 0 9,000 0 0 28 

Bond County 

Greenville Airport 0 0 14,000 0 14,000 0 0 44 

Boone County 

P.Qplar Grove 0 0 66,000 0 66,000 0 0 208 

Brown County 

Mt. Sterling Airport 0 0 3,000 0 3,000 0 0 9 

Carroll County 

Stransky Memorial Airport 0 0 4,000 0 4,000 0 0 13 

Cass County 

Greater Beardstown Airport 0 0 3,000 0 3,000 0 0 9 

Champaign County 

National Aviation Center 0 0 20,000 0 20,000 0 0 63 

U of 1/Wi!lard Airport 169 14,042 113,596 220 128,027 0 39 231 

Homer Airport 0 0 9,000 0 9,000 0 0 28 Frasca Field 0 0 14,000 0 14,000 0 0 44 

Christian County 

Taylorville Airport 0 0 14,000 0 14,000 0 0 44 

Clark County 

Casey Municipal Airport 0 0 8,000 0 8,000 0 0 25 

Clay County 

Flora Airport 0 0 10,000 0 10,000 0 0 32 

Coles County 

Coles County Memorial Airport 0 0 35,000 0 35,000 0 0 110 

Cook County 

O'Hare Airport 624,564 273,668 24,345 210 922,787 1,822 745 68 

Midway Airport 167,937 80,922 53,807 1,171 303,837 486 228 164 Meigs Field 0 1,191 30,756 103 32,050 0 3 104 

Pal-Waukee 0 8,386 156,144 36 164,566 0 21 489 Lansing 0 0 54,000 0 54,000 0 0 170 

Crawford County 

Robinson Airport 0 0 9,000 0 9,000 0 0 28 

DeKalb County 

Airport 0 0 37,000 0 37,000 0 0 117 

Hinckley Airport 0 0 48,000 0 48,000 0 0 151 

Douglas County 

Tuscola Airport 0 0 9,000 0 9,000 0 0 28 

G-22 
Table G-8: Aircraft Operations (continued) 

Annual Operations Summer Weekday Ope

Airport Comm Air Genav Military Total Comm Air Genav M

Taxi Taxi 

DuPage County 

DuPage County Airport 1 4,772 173,269 261 178,303 0 14 594 

Schaum bum Reaiona! Airoort 0 0 66,000 0 66,000 0 0 208 

Edgar County 

Edgar County Airport 0 0 7,000 0 0 0 0 22 

Effingham County 

Effingham County Memorial Airport 0 0 25,000 0 25,000 0 0 79 

Fayette County 

Vandalia Airport 0 0 9,000 0 9,000 0 0 28 

Ford County 

Paxton Airport 0 0 4,000 0 4,000 0 0 13 

Franklin County 

Benton Airport 0 0 8,000 0 8,000 0 0 25 

Fulton County 

Ingersoll Airport 0 0 19,000 0 19,000 0 0 60 

Grundy County 

Dwight Airport 0 0 2,000 0 2,000 0 0 6 

Morris Muni Airport 0 0 42,000 0 42,000 0 0 132 

Hancock County 

Carthage-Martin Airport 0 0 2,000 0 2,000 0 0 6 

Henry County 

Kewanee Municipal Airport 0 0 14,000 0 14,000 0 0 44 

Gen Air Park 0 0 5,000 0 5,000 0 0 16 

Jackson County 

Southern Illinois Airport 20 1,831 126,659 134 128,644 0 5 276 

Jefferson County 

M1. Vernon Airport (Outland) 0 0 16,000 0 16,000 0 0 50 

JoDaviess County 

Apple Canyon Lake Airport 0 0 2,000 0 2,000 0 0 6 

Kane County 

Aurora Municipal Airport 0 453 131,378 937 132,768 0 1 420 

Kankakee County 

Kankakee Airport 0 0 11,000 0 11,000 0 0 35 

Greater Kankakee 0 0 50,000 0 50,000 0 0 158 

Knox County 

Galesburg Municipal Airport 0 0 14,000 0 14,000 0 0 44 

Airport 0 0 0 0 0 0 0 0 

Lake County 

Campbell's Airport 0 0 30,000 0 30,000 0 0 95 

WaukeQan ReQiona! Airport 0 3,751 95.488 915 100,154 0 13 330 

G-23 
Table G-8: Aircraft Operations (continued) 

Annual Operations Summer Weekday Op

Airport Comm Air Genav Military Total Comm Air Genav 

Taxi Taxi 

LaSalle County 

!l!inois Valley Regional Airport 0 0 21,000 0 21 ,ODD 0 0 66 

Cushing Field 0 0 7,000 0 7,000 0 0 22 

Sky Dive Chicago Airport 0 0 10,000 0 10,000 0 0 32 

Grandpa's Farm Airport 0 0 8,000 0 8,000 0 0 25 

EarlviHe Airport 0 0 2,000 0 2,000 0 0 6 

Lawrence County 

Vincennes Airport 0 0 35,000 0 35,000 0 0 110 

O'Neal Airport 0 0 13,000 0 13,000 0 0 41 

Mt. Carmel Airport 0 0 11 ,000 0 11,000 0 0 35 

Lee County 

Bresson Airport 0 0 5,000 0 5,000 0 0 16 

Walqreen Airport 0 0 40,000 0 40,000 0 0 126 

Livingston County 

Pontlac Airport 0 0 12,000 0 12,000 0 0 38 

Logan County 

Loqan County Airport 0 0 7,000 0 7,000 0 0 22 

McDonough County 

Smith Airport 0 0 8,000 0 8,000 0 0 25 

Macomb Municipal 0 0 9,000 0 9,000 0 0 28 

McHenry County 

Lake in the Hills Airport 0 0 34,000 0 34,000 0 0 107 

Lake Airport 0 0 44,000 0 44,000 0 0 139 

Dacy Airport 0 0 20,000 0 20,000 0 0 63 

McLean County 

Central Illinois Regional 2,920 12,994 41,103 472 57,489 7 37 151 

Macon County 

Decatur Ai!_port 11 2,553 46,516 6,451 55,531 0 7 154 

Macoupin County 

Zelmer Memorial Airpark 0 0 2,000 0 2,000 0 0 6 

Madison County 

Shafer-Metro-East Airport 0 0 14,000 0 14,000 0 0 44 

Highland-Winet Airport 0 0 6,000 0 6,000 0 0 19 

St. Louis ReQional Airport 43 1,157 75,835 3,710 80,745 0 4 226 

Marion County 

Centralia Municipal Airport 0 0 60,000 0 60,000 0 0 189 

Leckrone Field 0 0 3,000 0 3,000 0 0 9 

Marshall County 

Lacon-Marshal! County 0 0 19,0Jl0 --0 19,0()_0 0 0 60 

G-24 
Table G-8: Aircraft Operations (continued) 

Annual Operations Summer Weekdav Ooe

Airport Comm Air Genav Military Total Comm Air Genav M

Taxi Taxi 

Mason County 

Havana Regional Airport 0 0 1,000 0 1,000 0 0 3 

Massac County 

Metropolis Airport 0 0 13,000 0 13,000 0 0 41 

Mercer County 

Mercer CounJy Airport 0 0 4,000 0 4,000 0 0 13 

Monroe County 

Sackman Field 0 0 12,000 0 12,000 0 0 38 

Montgomery County 

Litchfield Municipal Airport 0 0 10,000 0 10,000 0 0 32 

Hillsboro Airport 0 0 3,000 0 3,000 0 0 9 

Morgan County 

Jacksonville Al£pprt 0 0 12,000 0 12,000 0 0 38 

Ogle County 

West Grove Airport 0 0 0 0 0 0 0 0 

Barnett Memorial Airport 0 0 6,000 0 6,000 0 ' 0 19 

Roche!le Municipal Airport 0 0 5,000 0 5,000 0 0 16 

Peoria County 

Mt. Hawley Auxiliary Airport 0 0 21,000 0 21 ,000 0 0 66 

Greater Peoria Reqional Airport 4,464 23,539 37,188 11 ,015 76,206 12 60 127 

Perry County 

Pinckneyville-DuQuoin Airport 0 0 8,000 0 8,000 0 0 25 

Piatt County 

Piatt County Airport 0 0 6,000 0 6,000 0 0 19 

Pike County 

Pittsfield Pens tone Airport 0 0 7,000 0 7,000 0 0 22 

Randolph County 

Sparta Community Airport 0 0 8,000 0 8,000 0 0 25 

Richland County 

Olney-Noble Airport 0 0 6,000 0 6,000 0 0 19 

Rock Island County 

Quad Citv Airport 7,790 20,016 40,437 1554 69,797 20 61 127 

St. Clair Cpunty 

St. Louis Downtown Airport 0 7,216 157,773 357 165,346 0 20 404 

Mid America Airport . . . . . . . . 

Scott AFB 59 55 4,391 27,985 32,490 5 5 38 

Saline County 

Harrisburg-Raleigh 0 0 12,000 0 12,000 0 0 38 

G-25 
Table G-8: Aircraft Operations (continued) 

Annual Operations Summer Weekday O

Airport Comm Air Genav Military Total Comm Air Genav 

Taxi Taxi 

Sangamon County 

Capital Airport 60 13,861 51,768 5,368 71 ,057 0 39 161 

Holmes Airport 0 0 1,000 0 1 ,ODD 0 0 3 

Shelby County 

Shelby County Airport 0 0 15,000 0 15,000 0 0 47 

Stephenson County 

Albertus Airport 0 0 20,000 0 20,000 0 0 63 

Demick Airport 0 0 4,000 0 4,000 0 0 13 

Tazewell County 

Mitchell Airport 0 0 6,000 0 6,000 0 0 19 

Pekin Airport 0 0 9,000 0 9,000 0 0 28 

Vermilion County 

Vermilion County Airport 0 0 1,000 0 1,000 0 0 32 

Warren County 

Monmouth Airport 0 0 5,000 0 5,000 0 0 16 

Wayne County 

Fairfield Municipal Airport 0 0 8,000 0 8,000 0 0 25 

White County 

Carmi Airport 0 0 7,000 0 7,000 0 0 22 

Whiteside County 

Whiteside County Airport 0 0 21,000 0 21 ,000 0 0 66 

Will County 

Joliet Park District Airport 0 0 25,000 0 25,000 0 0 79 

Glow "International" Airport 0 0 50,000 0 50,000 0 0 158 

Sanger Airport 0 0 13,000 0 13,000 0 0 41 

Howell Airport 0 0 30,000 0 30,000 0 0 95 

Frankfort Airport 0 0 22,000 0 22,000 0 0 69 

Lewis University Airport 0 0 104,000 0 104,000 0 0 328 

Wll!iamson County 

Wi!llamson County Airport 16 5,251 46,023 98 51 ,388 0 15 127 

Winnebago County 

Cottonwood Airport 0 0 9,000 0 9,000 0 0 28 

Greater Rockford Airport 11,457 4,083 65,321 4,464 85,325 30 12 202 

State Totals 819,511 479,741 3,056,297 65,461 4,430,510 2,384 1,328 9,417 

• Mid America Airport is counted with Scott AFB with which it is co-located 

G-26 
Table G-9: Animal Husbandry Population 

County Beef Dairy Chickens Goats Hogs Horses Sheep 

Cattle Cattle 

Adams 43,625 375 8,334 349 95,600 1,734 1,800 

Alexander 1,900 600 0 41 250 140 210 

Bond 8,200 700 28,637 97 11,400 592 500 Boone 7,000 2,700 48,008 63 15,200 878 325 Brown 12,125 375 48,008 132 24,500 341 680 Bureau 18,700 600 66,432 140 77,200 1,286 725 

Calhoun 4,500 700 26,743 97 6,800 349 500 

Carroll 47,700- 4,000 37,729 140 40,700 884 725 Cass 7,500 700 48,008 97 82,200 223 500 Champaign 6,615 485 48,008 77 22,600 1,478 400 Christian 4,100 700 3,269 97 29,400 694 500 Clark 4,285 715 6,027 73 44,900 996 375 Clay 7,585 715 48,008 73 41,200 1 '129 375 Clinton 32,600 18,800 48,008 41 170,900 609 210 

Coles 4,885 715 48,008 73 5,000 1,240 375 

Cook 0 0 0 0 140 2,561 0 Crawford 4,785 715 17,358 73 17,600 819 375 

Cumberland 9,585 715 59,005 73 43,400 642 375 

DeKalb 32,800 500 48,940 329 208,000 1,301 1,700 

DeWitt 2,590 210 15,435 93 20,700 330 480 Douglas 2,785 715 48,008 73 8,500 3,636 375 

DuPage 0 0 5,234 0 140 594 0 

Edgar 7,185 715 5,234 73 112,700 764 375 Edwards 4,640 160 49,4 77 16 18,600 347 85 

Effingham 20,200 4,900 29,648 73 86,400 1,574 375 

Fayette 14,485 715 6,535 73 10,000 1,207 375 

Ford 3,215 485 48,008 77 30,100 317 400 Franklin 6,840 160 72,053 16 34,200 1,018 85 

Fulton 27,525 375 66,523 132 74,700 1,365 680 

Gallatin 2,940 160 0 16 7,900 142 85 

Greene 17,500 700 5,037 97 125,400 1,055 500 Grundy 1,500 500 16,948 63 7,200 352 325 

Hamilton 3,140 160 0 16 24,900 537 85 Hancock 36,125 375 95,580 132 100,800 2,271 680 

G-27 
Table G-9: Animal Husbandry Population (continued) 

County Beef Dairy Chickens Goats Hogs Horses Sheep 

Cattle Cattle 

Hardin 5,340 160 48,008 16 12,800 386 85 Henderson 22,025 375 14,492 132 23,800 723 680 Henry 48,100 600 33,055 755 168,100 1,773 3,900 

Iroquois 21,915 485 48,008 77 33,200 943 400 

Jackson 13,800 600 29,971 41 6,100 1 ,511 210 Jasper 9,185 715 26,479 73 111,800 653 375 

Jefferson 15,740 160 41,696 16 9,800 1,290 85 Jersey 12,100 700 48,008 97 4,000 489 500 

JoDaviess 63,900 7,500 30,681 140 18,000 1,839 725 

Johnson 12,800 600 78,103 41 7,900 1,218 210 

Kane 9,100 500 129,146 63 30,200 3,498 325 

Kankakee 8,815 485 85,339 77 18,600 980 400 

Kendall 1,000 500 4,018 63 29,000 987 325 

Knox 29,025 375 55,117 132 113,600 952 680 Lake 0 500 23,846 63 420 3,694 325 

LaSalle 17,900 500 30,271 290 17,200 1,371 1,500 

Lawrence 1,885 715 17,904 73 32,200 476 375 

Lee 13,400 600 48,008 140 54,600 548 725 

Livingston 8,415 485 48,008 77 123,200 758 400 

Logan 2,090 210 8,274 93 83,200 354 480 

McDonough 17,825 375 21 '924 310 22,700 1,210 1,600 McHenry 19,300 5,600 175,410 63 22,300 5,103 325 Mclean 12,990 210 26,179 407 93,500 1,367 2,100 Macon 3,490 210 48,008 93 7,800 537 480 Macoupin 22,300 700 45,056 97 72,600 1,290 500 

Madison 13,500 700 60,219 97 30,300 2,256 500 

Marion 7,285 715 2,036 7 10,500 1,448 35 

Marshall 6,190 210 48,008 93 11,300 352 480 

Mason 9,390 210 53,589 93 11 '1 00 557 480 

Massac 8,040 160 48,008 16 11 ,600 790 85 

Menard 5,090 210 52,916 93 35,000 727 480 

Mercer 20,500 600 26,819 290 66,100 1,013 1,500 

Monroe 8,700 600 48,008 41 41 '1 00 721 210 Montgomery 9,900 700 98,412 97 63,200 797 500 

G-28 
Table G-9: Animal Husbandry Population (continued) 

County Beef Dairy Chickens Goats Hogs Horses Sheep 

Cattle Cattle 

Morgan 18,900 700 48,008 97 45,500 469 500 Moultrie 3,285 715 117,236 73 9,700 2,334 375 

Ogle 38,700 600 48,008 426 48,900 1,793 2,200 

Peoria 9,600 3,000 18,940 93 20,600 2,002 480 Perry 10,600 600 68,258 41 5,900 522 210 Piatt 2,215 485 6,010 77 8,100 301 400 Pike 2,630 700 68,969 97 123,200 1 '175 500 Pope 8,040 160 48,008 16 2,300 640 85 Pulaski 4,100 600 0 41 2,700 325 210 Putnam 1,300 600 6,512 140 6,200 310 725 Randolph 19,900 600 101 ,985 41 12,300 908 210 Richland 5,285 715 48,008 73 58,000 279 375 Rock Island 11,000 600 127,171 140 29,900 1,559 725 

St. Clair 7,000 600 70,934 41 30,800 1,408 210 

Saline 6,140 160 48,008 16 19,400 688 85 Sangamon 10,1 DO 700 7,247 97 51,200 1,825 500 Schuyler 11,325 375 7,923 132 44,400 712 680 Scott 3,000 700 0 97 11,800 378 500 

Shelby 14,1 DO 3,000 48,008 73 54,1 DO 1,426 375 

Stark 3,190 210 5,234 93 17,900 559 480 Stephenson 42,200 14,1 DO 21,581 387 85,700 1,843 2,000 

Tazewell 10,290 210 30,346 93 70,400 1,207 480 

Union 12,900 600 48,008 41 250 1,035 210 

Vermilion 6,415 485 48,008 77 16,200 849 400 

Wabash 3,240 160 48,008 16 3,800 166 85 

Warren 20,025 375 61,536 445 51,900 926 2,300 

Washington 22,700 7,600 48,008 41 60,600 288 210 Wayne 15,040 160 62,761 16 62,000 1,965 85 

White 4,940 160 26,950 16 14,700 930 85 

Whiteside 31,600 600 54,681 140 61,900 1,063 725 

Will 5,200 500 32,949 63 18,200 2,673 325 

Williamson 7,600 600 24,063 41 12,200 1,732 210 Winnebago 17,900 600 30,289 140 16,700 2,077 725 

Woodford 7,990 210 9,992 93 76,500 483 480 

G-29