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

1I

I I

I I

I I I

I

I I I

I

I 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 ((CF 3 

### )2CFCF 2 

### 0CH 3 )



### • Heptafluoropropane ((CF 3 

### )CFCF 2 

### 0C 2 

### H 5 )



### • 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.



### 8Table2-1:ParticulateMatterInventoryAnnualEmissions(tons/year)PointAreaOn-RoadOff-RoadAnimalBioqenicTotalChicagoNAAco25,632.1334,239.48979,219.14588,169.794,188.441,631,448.97NH3143.703,708.775,986.9546.291,415.5511,301.27NOx54,049.6232,325.06167,619.7387,426.241,682.52343,103.17PM109,847.6689,302.144,220.425,232.44108,602.66PM2.52,756.6122,356.043,070.584,834.3033,017.54S02121,597.923,290.253,850.043,742.62132,480.84VOM21,190.7089,090.2159,599.9753,272.3038,667.67261,820.84Metro-EastNAAco20,332.445,867.20114,770.4728,305.562,517.50171,793.17NH344.19849.83583.194.141,043.742,525.09NOx34,453.301,818.8416,389.907,411.29956.0361,029.36PM106,401.2815,936.41439.14425.3423,202.16PM2.52,313.933,973.79325.17392.577,005.47S0254,541.90196.26616.06394.2855,748.50VOM5,094.4912,637.298,075.272,841.0118,495.7547,143.80AttainmentAreaco45,920.5254,009.931,071,767.29268,126.7472,753.831,512,578.30NH3433.8925,347.264,203.8157.9341,721.4571,764.35NOx179,310.9013,291.65125,859.30 114,524.1936,134.36469,120.40PM1020,326.21402,029.563,195.347,676.90433,228.01PM2.53,396.1786,772.802,365.037,068.9399,602.93S02330,957.641,777.524,468.335,168.09342,371.59VOM50,399.42120,662.7275,820.5636,495.83471,419.82754,798.35Statewideco91,885.0994,116.612,165,756.89884,602.0879,459.763,315,820.44NH3621.7829,905.8710,773.96108.3644,180.7485,590.71NOx267,813.8347,435.56309,868.93209,361.7238,772.91873,252.94PM1036,575.15507,268.117,854.9013,334.68565,032.84PM2.58,466.72113,102.635,760.7812,295.81139,625.94S02507,097.465,264.038,934.439,304.99530,600.92VOM76,684.60222,390.22143,495.8192,609.13528,583.231,063,762.9893,500,0003,000,0002,500,0002,000,0001,500,0001,000,000500,000Figure2-1:AnnualCOEmissionSummary(tons/year)1090,00080,00070,00060,00050,000Figure2-2:AnnualNH3EmissionSummary(tons/year)11900,000800,000700,000600,000500,000400,000300,000200,000100,0000Figure2-3:AnnualNOxEmissionSummary(tons/year)12600,000500,000400,000300,000200,000100,000Figure2-4:AnnualPM10EmissionSummary(tons/year)13140,000120,000100,00080,00060,00040,00020,000Figure2-5:AnnualPM2.5EmissionSummary(tons/year)14Figure2-6:AnnualS02EmissionSummary(tons/year)151,200,0001,000,000800,000600,000400,000200,000Figure2-7:AnnualVOMEmissionSummary(tons/year)16

### F i gure 2-8: Statew id e Geograph ic Contrib u tions 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 / y e ar) 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% Ch i cago NAA
25.0%

-East NAA

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

Attainment Area
71.0%

18 Chicago NAA
24.6%

4

. 4%

### F i gure 2-9: Ch i cago 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 Em i ssions

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%

### F i gure 2-12: Statew i de 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 Emiss ions (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 Report 1 

### 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-42 2

. 

### 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 Sources 3 

### and Emissions lnventorv Guidance for Implementation of Ozone and
Particulate Matter National Ambient Air Quality Standards and Regional Haze 4 

### 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 Service 7

. 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



### 41estimate 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 Agriculture 8

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.

42Emissions were calculated using the following equation 9

.

E = ACRES * C * K * S 0

· 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.

43E 

### = 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 Agriculture 7 

### 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.



### 49Table 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 year 14 

### 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.



### 52E =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.



### 54Table 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 employment 16 

### 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 IDOT 13

. 

### 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 Constructed 9



### 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 EIIP 17 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 EIIP 18

. 

### 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.



### 63Table 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 401-999 16

. 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 311-399 16

. 

### 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



### 69Table 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.



### 70Table 4-45: Residential Fuel Combustion Emission Factors other than Wood 9



### 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 Use 19



### 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 Factors 9 

### (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



### 76Table 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 Statistics 23

. 

### 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-42 2



### Statewide and countywide ADVMT information was obtained from I DOT's 2002 Illinois
Travel Statistics 23

. 

### 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-42 2

. Statewide and countywide ADVMT information was obtained from lOOT's 2002 Illinois
Travel Statistics 23

. 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.

81E = GAL 9 as * EF gas + GALetoh * EF etoh /1000 

### 12000

Where E = emissions (tons/year) GALgas = gallons of gasoline used
EF 985 =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/person 24

. 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.



### 85Emissions 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
0.8 other Special Purpose

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 States 26 

### and the Illinois Department of Transportation report Illinois Waterborne Shipping Database 27

. 

### 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.



### 87Table 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.

89Emissions 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 formula 9

:



### 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 markings 28 

### 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 methodology 29 

### 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 Office 31

_ 

### Guidance and emission factors from the EIIP document for structure fires 32



### 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 studies 33

- 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
DePaul 35

. 

### 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.

103Table 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.

106Table 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.

108Table 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



### 109corresponding 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 

### Ea
11 

### 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.

124Table 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



### 1265.2.2.2 

### 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.

131EvoM = 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

133non-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 /30 1 h 

### the number of
commercial operations, and therefore together would have at most 1/30 1 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.

136Table 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.

153Table 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.

15713. 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
StatewideTableA-1:StatewideEmissionsCategorycoNH3NOxPM10PM2.5S02VOMPointSourcesExternalFuelCombustionElectricGenerationCoal12,267.4849.25172,448.498,409.964,146.14355,774.791,321.96DistillateOil533.021.092,259.38176.608,887.6766.39NaturalGas1,438.6932.642,955.8070.5953.29456.7568.78ResidualOil13.452.31159.34203.62202.063,819.8726.46IndustrialCoal2,371.7912.0111,177.761,214.72623.7143,695.4568.85DistillateOil48.3910.50174.957.700.05122.162.91NaturalGas3,806.03243.206,508.08503.62492.15232.88354.03ResidualOil43.421.01221.7713.820.64388.513.55Other1,285.231.062,350.77222.3776.521,726.3350.56Commercial/InstitutionalCoal503.060.04817.15281.6997.578,544.203.66DistillateOil6.541.3826.681.4448.910.44NaturalGas1,159.6313.662,365.70122.10122.2656.57102.87ResidualOil8.100.9873.395.250.5394.471.30Other232.140.0654.322.910.00907.3186.05SpaceHeatingDistillateOil1.5817.481.1210.6837.60NaturalGas85.0318.92246.296.070.073.7532.71Other1.189.000.010.53InternalFuelCombustionElectricGenerationDistillateOil162.000.99673.2324.750.4443.8320.31LandfillGas858.95572.958.632.4976.3264.23NaturalGas1,523.1413.703,309.47133.5658.7423.0598.03IndustrialDiesel5.050.3824.210.540.822.46DistillateOil63.082.92179.9612.990.5345.418.18NaturalGas3,617.9418.5220,009.81184.3162.707.43766.06Other42.1886.570.522.196.30A-1TableA-1:StatewideEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMCommercial/InstitutionalDistillateOil6.350.0725.330.853.670.47LandfillGas366.65259.3823.0016.1016.9728.56NaturalGas94.010.70173.583.573.070.4311.56Other2.420.010.29EngineTestingDiesel70.76355.208.990.2218.3825.16DistillateOil0.120.880.000.01JetFuel0.551.18LandfillGas183.5478.5710.043.086.00Other300.140.005.390.500.6034.08Off-highwayEngines0.510.030.02Fugitives47.5712.070.012.1126.79IndustrialProcessesChemicalManufacturingAdhesives8.09FixedRoofTanks3.121.200.553.73FloatingRoofTanks0.312.62Ink4.10226.64NitricAcid645.90264.947.42Paint16.77373.87Pharmaceuticals0.120.1610.140.06192.08PhthalicAnhydride98.6390.246.52674.22210.50Plastics0.535.1421.6388.571.25990.36PressureTanks0.43SulfuricAcid0.053.651,380.500.04SyntheticOrganicFiber0.886.68SyntheticRubber105.9953.27Varnish0.3959.35Other1,322.41100.31360.51853.8647.4711,203.589,528.87FuelCombustion947.321.08179.8565.103.558.97Fllgitives25.761.731.59132.07A-2TableA-1:StatewideEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMFood/AgricultureBakeries5.590.0027.3022.300.01966.67Beer0.2018.0933.32Candy0.727.280.2276.48FeedManufacturing2.50293.750.02GrainElevators4.3632.174,142.6310.460.090.65Milling5,638.87741.491,263.6212.571,254.571,549.75Smokehouses8.141.307.601.3311.16StarchManufacturing12.8915.32156.2010.8833.75VegetableOil55.181.4215,535.70Other5,243.350.10162.461,120.2716.90569.99970,95FuelCombustion93.936.28153.8730.5734.087.46Fugitives0.004.31106.23PrimaryMetalProductionBy-productCoke1'165.376.90761.50154.9510.65156.92 111.77Copper0.14Ferroalloy0.130.0667.170.0715.68Iron0.0817.03559.6247.89259.61155.66Steel20,050.60988.98 614.68319.68422.12363,71Zinc61.50Other0.072.024.9612.93FuelCombustion26.360.4763.823.400.080.221.56Fugitives1.97SecondaryMetalProductionAluminum49.740.2461.08146.860.461.4860.00Copper483.790.0714.97143.102.663.849.30GrayIron342.520.0452.48568.2075.57115.15306.73HeatTreating20.6428.740.3457.61Lead3.1410.296.761.510.02LeadBattery17.120.08Nickel0.00Steel979.9265.73474.613.2233.98149.06Zinc67.280.0074.3557.9524.6811.85A-3TableA-1:StatewideEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMOther6.920.0119.9287.0713.965.82163.72FuelCombustion1,485.366.28268.8039.952.0231.4314.39Fugitives11.857.9515.036.83MineralProductsAsphaltManufacturing1,755.700.03579.40225.15445.36488.49AsphaltRoofing71.9410.4949.5858.1294.66Brick96.5936.2451.85151.794.58BulkMaterials0.160.72530.380.008.67CementManufacturing7,981.229,135.331,280.2828.234,258.52258.92CoalMining0.120.1227.42ConcreteManufacturing0.361.102,749.1519.76GlassManufacturing99.015,806.05613.57432.511,346.13165.79Mining0.780.4297.480.42Sand/Gravel2.558.05371.791.040.06StoneQuarrying16.6624.981,486.570.290.0040.04SurfaceMining116.8642.67732.750.0044.6796.42Other715.462,289.00929.8174.478,250.47682.77FuelCombustion43.234.67124.396.5428.403.02Fugitives30.4635.81PetroleumIndustryCoolingTowers1,016.87185.06Desulfurization192.8615.55249.327.44FCCU1,279.379.534,237.171,261.911,148.4931,831.40115.66Flares201.7739.78686.0370.16ProcessHeaters2,462.3327.526,151.51301.23142.121,217.86314.43WasteWater0.360.010.35118.60507.13Other257.11819.35206.450.133,507.22452.30Fugitives2,202.7851.5628.989,636.56544.96PaperandWoodProductsPlywood0.060.330.38Pulpboard5.7013.63Woodworkir19_6.851.58A-4TableA-1:StatewideEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOMOther6.607.2590.990.04253.48FuelCombustion2.110.072.530.180.010.44Fugitives8.741.56RubberandPlasticProductsPlasticFoam0.010.080.91413.96PlasticProducts1.415.6252.740.001,339.30TireManufacturing55.3844.33120.080.01612.63Other1.280.7231.310.00168.25FuelCombustion2.030.145.540.420.163.35FabricatedMetalProductsDrumReclamation0.360.000.702.680.002.66Plating0.500.072.702.990.002.858.68Welding8.7221.39Other49.960.11130.68106.581.9512.37786.38FuelCombustion76.322.89102.1711.950.5547.10Fugitives0.100.100.340.106.89OilandGasProductionCrudeOil185.89NaturalGas75.9134.370.55235.4618.54Other0.281.3929.98FuelCombustion0.869.160.000.540.84Fugitives0.000.000.004.78MiscellaneousMachinery4.192.792.741.2422.16ElectricalEquipment1.800.012.752.141.45159.49TransportationEquipment0.600.771.800.00208.33HealthServicesCrematories28.311.550.220.740.30Sterilizers40.04LeatherandLeatherProducts0.303.8088.46TextileProducts0.101.382.014.17ProcessCooling254.5913.7211.32A-5TableA-1:StatewideEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(te:tl!te:tl!te:tl(te:tl!te:tl!te:tl(tpy)In-ProcessFuelUseCoal0.000.0079.900.000.08DistillateOil12.49229.400.97 0.9422.054.60LandfillGas0.43NaturalGas607.382.762,110.6037.0913.48131.29 170.87ResidualOil1.74Other404.081,451.09154.9964.432,760.5845.29MiscellaneousManufacturingMiscellaneousManufacturing70.310.11160.1131.529.55369.48FuelCombustion505.430.25277.98115.885.20414.9016.37OrganicSolventEmissionsOrganicSolventUseColdCleaning369.51Degreasing486.48DryCleaning423.00Other0.33Fugitives0.342.58 2.48164.85SurfaceCoatingOperationsAdhesives6.3440.681.070.10372.05Aircraft0.7010.81Automobiles12.620.0419.451.710.110.011,473.16Fabric3.23FlatwoodProducts198.53Glass0.73LargeAppliances28.94MagnetWire52.16MetalCans4.815.742.590.03861.30MetalCoils5.9129.660.170.15469.68MetalFurniture0.682.161.23107.56MiscellaneousMetalParts0.701.7118.870.130.001,324.95Ovens84.582.53536.5014.752.6518.5961.64Paper1.060.004.110.830.371,260.42PlasticParts6.80626.00A-6TableA-1:StatewideEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(tE':tl(tE':tl(tE':tl(tE':zrl(tE':tl(tE':tl(tE':tlSteelDrums1.831.991.78303.D4ThinningSolvents0.02381.99WoodFurniture0.060.071.39620.98Other9.2420.5830.980.061.513,805.24FuelCombustion98.650.4247.380.030.422.26Fugitives2.116.2310.2113.84128.38PetroleumProductStorageFixedRoofTanks2.892.6418.7331.672,371.31FloatingRoofTanks1,221.72VariableVaporSpaceTanks0.070.04103.74Fugitives873.93BulkTerminals/PlantsFixedRoofTanks1.070.014.230.03539.79FloatingRoofTanks1.79697.49Losses4.855.49306.04VariableVaporSpaceTanks40.33Printing/PublishingCleanup0.76248.60Dryers1.485.310.060.00220.43Flexographic1.211.620.101,232.46Letterpress0.721.66381.98Lithographic8.072.831,840.27Rotogravure0.360.002,006.61ScreenPrinting77.49ThinningSolvents0.06118.76Other106.67Fugitives0.200.2055.9476.16PetroleumMarketing/TransportPipelines1.31StageI33.46StageII18.16TankCars1.622.090.18199.19Transportation249.19Fuitives0.110.36165.38A-7TableA-1:StatewideEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMOrganicChemicalStorageFixedRoofTanks0.010.117.060.130.001,515.94FloatingRoofTanks0.2040.51PressureTanks16.20OrganicChemicalTransport0.060.061.0886.18OrganicSolventEvaporationEvaporation0.110.1111.691,054.41Other0.440.584.265.8939.86756.91FuelCombustion195.44122.625.5517.3328.92SolidWasteDisposalGovernmentIncineration8.740.365.300.315.60Landfills1,148.69568.56111.66177.27524.28SewageTreatment40.9514.1951.7314.55Other0.030.335.31FuelCombustion0.000.050.17Commercial/InstitutionalIncineration298.7968.69 64.5818.7117.93Other0.110.029.44FuelCombustion2.470.070.110.03IndustrialIncineration64.320.0057.4832.4011.082.708.69Landfills598.28104.0825.111.3243.9429.64TSDFs0.564.00Other1.963.147.601.2264.08FuelCombustion0.438.621.442.38SiteRemediationAirStripping157.64SoilVenting9.315.814.07459.79Other1.081.1016.461.98232.38PointSourceTotal91,885.09621.78267,813.8336,575.158,466.72507,097.4676,684.60A-8TableA-1:StatewideEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOMAreaSourcesAgricultureFertilizer25,079.79Pesticide40,419.09Tilling382,703.1076,540.40AircraftRefueling312.49ArchitecturalCoating16,262.79AsphaltPaving11,556.61AutomobileRefinishing4,743.47CommercialCooking1,276.413,303.74 3,064.13475.56ConstructionNonresidential22,287.374,457.44Residential4,004.81800.90Road82,204.9016,440.97ConsumerSolventUse45,443.48DryCleaning1,891.98ForestFires265.231.205.6925.79 22.121.5612.48FuelCombustion-Commercial/InstitutionalNaturalGas7,863.6041.508,953.00701.55682.2354.71500.08D'1stillateOil171.6426.83830.3582.8775.161,379.4711.64ResidualOil0.640.106.340.500.4421.590.14Kerosene3.790.5842.535.443.53119.550.83LPG38.44283.9618.52 18.526.02FuelCombustion-IndustrialNaturalGas9,259.99332.3310,544.78699.45686.5129.54544.45DistillateOil136.1321.55556.6727.487.511,152.475.32ResidualOil5.990.9867.9712.278.42215.980.325Coal0.000.000.000.000.000.000.0FuelCombustion-ResidentialNaturalGas9,310.8621,880.49442.24442.24139.671,280.18DistillateOil28.49102.636.144.69242.894.00Kerosene14.3352.013.202.54122.932.12LPG370.521,505.3119.7019.7057.90A-9TableA-1:StatewideEmissions(continued)CategoryPM10PM2.5t tCoalWoodFireplaces29,909.78535.924,313.76 4,313.7682.0328,104.36WoodStoves23,858.23289.443,203.30 3,203.3043.095,369.26GasolineMarketingStageI6,341.91StageII9,517.04TankTruckLeaks598.08StorageTankBreathing1,059.41GraphicArts4,900.79Incineration5,262.801,594.592,576.231,754.011,370.331,037.86IndustrialSurfaceCoating13,860.66MarineVesselLoadingandTransport942.24OpenBurningPrescribedBurning1,284.075.7827.55124.85107.087.5660.42ResidentialHouseholdWaste428.5830.27191.59175.475.04151.21YardWaste688.62150.34150.34128.38PavementMarkings821.97PortableFuelContainersCommercial979.09Residential8,701.28SolventCleaning11,160.71StructureFires445.6010.4280.2072.9981.70WasteWaterTreatmentPOTWs4,395.242,290.38Industrial2,625.49AreaSourceTotals94,116.6129,905.8747,435.56507,268.11113,102.635,264.03222,390.22On-roadMobileSourcesHDDV32,663.44247.45148,942.384,454.373,900.66 3,150.376,179.92HDGV84,857.13172.6219,624.04392.92286.78430.456,556.52LDDT265.801.35295.1237.0831.9327.37150.91LDDV155.360.64139.7422.8719.997.6063.68LDGT12747,119.763,612.1950,114.651,037.27544.162,007.8942,285.09A-10TableA-1:StatewideEmissions(continued)CategoryPM10PM2.5ttLDGT34LDGVMCOn-roadMobileSourceTotalsOff-roadMobileSourcesAgriculturalEquipment2-stroke138.110.000.053.343.020.0079.894-stroke22,529.160.05533.192.282.022.12808.33Diesel22,501.4322.0538,920.534,542.594,179.14658.334,700.41AircraftAPUs256.31160.7224.5014.57AirTaxi1,253.39344.8469.6968.0326.84202.15Commercial6,035.548,721.83223.93218.53558.481,011.46GeneralAviation11,408.77709.52210.57205.5371.75590.91Military647.66169.3110.5610.300.97178.25AirportGroundSupportEquipment2-stroke0.000.000.000.000.000.000.004-stroke602.030.0133.580.220.190.1725.41Diesel280.490.34603.7744.4740.9011.1151.33CommercialEquipment2-stroke2,345.810.087.1858.5353.730.691,253.784-stroke180,120.144.023,426.2557.0452.35 54.295,916.72Diesel2,448.381.583,623.72453.39417.1564.31655.27ConstructionEquipment2-stroke2,532.280.0519.4669.8264.050.621,142.794-stroke18,751.400.15249.273.533.163.79525.76Diesel14,314.8313.7026,538.042,235.642,056.68499.922,935.38ConstructionandMiningEquipment2-stroke0.000.000.000.000.000.000.004-stroke408.590.00100.890.210.160.0025.49Diesel0.000.000.000.000.000.000.00A-11TableA-1:StatewideEmissions(continued)CategoryPM10PM2.5VOMttIndustrialEquipment2-stroke30.040.000.060.700.620.0015.844-stroke83,296.060.5314,822.6871.2465.599.924,576.27Diesel2,706.093.496,057.43528.20485.61128.12641.01LawnandGardenEquipment2-stroke33,722.131.27143.17803.49739.2110.3918,134.914-stroke360,078.899.324,562.04113.53104.39108.7812,781.47Diesel1,036.490.941,854.13197.06181.1234.30306.08Locomotives8,389.1635.4476,176.432,104.301,935.975,107.943,298.04LoggingEquipment2-stroke2.080.000.020.060.060.001.024-stroke4.730.000.050.000.000.000.23Diesel0.510.001.630.110.100.030.12MarineVesselsCommercial3,496.2311.3518,854.38461.10424.221,725.23431.10Recreational2-stroke29,765.10307.70782.50719.9129.3014,962.004-stroke24,923.60837.209.208.4628.602,331.60Diesel136.90847.7022.0020.25101.7031.40RailroadEquipment2-stroke0.000.000.000.000.000.000.004-stroke249.440.003.210.030.030.036.36Diesel127.100.03148.1021.5519.831.8628.96RecreationalEquipment2-stroke17,001.512.30133.85203.92187.6522.5113,903.064-stroke32,933.941.63327.9110.279.6516.821,010.46Diesel55.250.0040.858.407.860.3013.01UndergroundMiningEquipment2-stroke0.000.000.000.000.000.000.004-stroke0.000.000.000.000.000.000.00Diesel72.510.0381.0311.2110.321.2818.29Off-roadMobileSourceTotals884,602.08108.36___1Q!l,361.7213,334.6812"295.819,304.9992,609.13A-12TableA-1:StatewideEmissions(continued)CategoryPM10PM2.5VOMtttAnimalHusbandryBeefCattle8,778.29Chickens1,907.61DairyCallie4,022.39Goats76.03Hogs26,672.14Horses1,517.52Sheep206.85Turkeys999.91AnimalHusbandTotals44,180.74BioenicSources79,459.7638,772.91528,583.23TotalsPointSource91,885.09621.78267,813.8336,575.158,466.72507,097.4676,684.60AreaSource94,116.6129,905.8747,435.56507,268.11113,102.635,264.03222,390.22On-roadMobile2,165,756.8910,773.96309,868.937,854.905,760.788,934.43143,495.81Off-roadMobile884,602.08108.36209,361.7213,334.6812,295.819,304.9992,609.13AnimalHusbandry44,180.74Biogenic79,459.7638,772.91528,583.23Total3,315,820.4485,590.71873,252.94565,032.84139,625.94530,600.921,063,762.98A-13

## APPENDIX B

2002 EMISSIONS Chicago NAATableB-1:ChicagoNAAEmissionsCategorycoNH3NOxPM10PM2.5S02VOMPointSourcesExternalFuelCombustionElectricGenerationCoal3,083.6111.6928,133.103,185.281,453.8561,715.4625.90DistillateOil3.060.4043.180.9063.560.11NaturalGas1,084.4920.432,100.2035.4918.61441.2211.89ResidualOil5.670.4252.44197.91197.913,656.7024.90IndustrialCoal235.063,667.05390.21325.4410,067.0911.18DistillateOil6.323.7928.550.8952.740.24NaturalGas1,739.4351.452,869.34136.84 134.0840.15157.76ResidualOil5.950.5463.449.72166.960.45Other294.71790.9540.18119.8117.17Commercial/InstitutionalCoal15.2432.2263.040.10DistillateOil2.880.4310.090.7822.710.21NaturalGas538.585.411,056.6954.10 54.103.7839.49ResidualOil4.820.6053.683.600.5338.200.88SpaceHeatingDistillateOil0.010.010.0810.6837.60NaturalGas32.451.6765.482.310.073.132.72Other0.060.400.01InternalFuelCombustionElectricGenerationDistillateOil113.690.40426.8919.2220.9013.20LandfillGas347.59248.653.612.4913.2319.93NaturalGas512.387.43687.3834.841.159.7628.41IndustrialDiesel0.100.090.470.000.041.75DistillateOil6.860.1039.103.370.5016.661.49NaturalGas218.351.06946.0244.7319.051.4476.59Other1.3112.640.031.890.22B-1TableB-1:ChicagoNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(tpy)(tpy)(tpy) (tpy) (tpy)(tpy)Commercial/InstitutionalDistillateOil3.280.0412.910.510.960.18LandfillGas208.35171.5416.1016.1011.9615.49NaturalGas91.680.55170.813.363.070.4211A1Other2.420.010.29EngineTestingDiesel20.95109.235.170.223.3810.15DistillateOil0.120.880.000.01LandfillGas183.5478.5710.043.086.00Other300.135.230.500.6034.07Off-highwayEngines0.510.030.02IndustrialProcessesChemicalManufacturingAdhesives4.70FixedRoofTanks0.000.552.91FloatingRoofTanks0.202.62Ink3.57174.83NitricAcid0.04Paint13.23226.14Pharmaceuticals0.120.164.140.06113.10PhthalicAnhydride98.6390.246.52674.22210.50Plastics0.470.5732.221.25235.87SulfuricAcid0.050.371.880.04SyntheticOrganicFiber0.880.46SyntheticRubber0.6932.31Varnish0.2547.30Other608.080.11173.77372.696,927.571,885.08FuelCombustion26.790.8361.3213.031.717.16Fugitives25.761.631.5996.37Food/AgricultureBakeries4.900.0023.396.890.00861.12Beer0.203.010.13Candy0.696.6125.64B-2TableB-1:ChicagoNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOM(tpy)FeedManufacturing2.87GrainElevators0.241.0394.700.03Milling4.012.26186.0369.03145.42Smokehouses1.901.302.811.337.19StarchManufacturing12.8915.3260.6910.8833.75VegetableOil25.901.42225.00Other8.780.0029.17170.90421.39361.13FuelCombustion29.201.4837.953.920.203.22Fugitives0.20PrimaryMetalProductionBy-productCoke1'149.620.00758.38119.49135.9326.40Ferroalloy8.99Iron0.080.4333.300.70Steel5,960.65214.5497.5738.54133.3178.12Other1.651.7112.93FuelCombustion15.200.1545.482.430.150.74SecondaryMetalProductionAluminum32.790.0230.9473.160.400.0330.55Copper1.400.012.3041.441.315.00GrayIron1.420.8511.3818.28HeatTreating20.4222.7022.37Lead2.373.071.251.510.02LeadBattery10.980.08Nickel0.00Steel925.4622.86130.2231.4040.90Zinc66.3167.3924.230.061.95Other5.820.0114.269.625.69117.11FuelCombustion92.092.54118.6018.080.082.708.37Fugitives11.837.8813.676.23MineralProductsAsphaltManufacturing849.22130.5883.2329.19123.60AsphaltRoofing69.159.0048.6958.1280.51Brick0.12O.D7B-3TableB-1:ChicagoNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOM.----BulkMaterials0.00301.000.03CementManufacturing84.97CoalMining0.02ConcreteManufacturing1,106.7019.76GlassManufacturing23.351,051.49200.65147.47361.504.74Mining39.49Sand/Gravel1.443.30155.510.000.00StoneQuarrying445.750.24SurfaceMining41.12Other608.201,652.77282.922,173.10305.99FuelCombustion4.311.755.250.380.060.27Fugitives3.2535.81PetroleumIndustryCoolingTowers11.18139.98Desulfurization192.8615.55249.327.44FCCU951.452,825.63446.78333.3620,249.102.25Flares2.661.78143.291.52ProcessHeaters625.7427.231,946.5880.22123.84176.24WasteWater118.60130.35Other193.40813.5029.603,406.4728.62Fugitives2,180.3526.96 28.989,392.4494.81PaperandWoodProductsPlywood0.12Pulpboard1.578.96Woodworking3.041.58Other29.5758.45FuelCombustion2.040.072.440.180.010.44Fugitives0.261.56RubberandPlasticProductsPlasticFoam0.59330.56PlasticProducts1.153.6312.050.00397.44TireManufacturing12.63Other1.280.298.460.0080.25FuelCombustion1.410.041.880.130.013.17B-4TableB-1:ChicagoNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM((tpy) (tpy)(tpy) (tpy) (tpy)ltovlFabricatedMetalProductsDrumReclamation0.140.442.662.65Plating0.500.072.600.132.704.00Welding0.380.59Other35.910.11114.6445.671.944.61476.04FuelCombustion38.221.1552.204.970.3227.14Fugitives0.100.100.340.105.60OilandGasProductionFuelCombustion3.420.06Fugitives0.000.000.000.11MiscellaneousMachinery0.552.091.970.4320.85ElectricalEquipment1.710.012.450.071.45103.65TransportationEquipment4.01HealthServicesCrematories8.68Sterilizers32.33LeatherandLeatherProducts0.303.8029.65TextileProducts0.912.012.18ProcessCooling244.7611.26In-ProcessFuelUseCoal79.900.08DistillateOil10.46216.530.940.9411.034.30LandfillGas0.43NaturalGas298.470.08394.062.800.7144.14ResidualOil1.74Other4.6342.832.670.310.38MiscellaneousManufacturingMiscellaneousManufacturing18.490.111.8126.830.05156.01FuelCombustion123.210.1143.0310.8090.468.57OrganicSolventEmissionsOrganicSolventUseColdCleaning0.10130.71Degreasing250.35B-5TableB-1:ChicagoNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(tpy)DryCleaning203.13Fugitives2.482.4843.90SurfaceCoatingOperationsAdhesives6.3440.680.990.10236.42Aircraft0.1010.81Automobiles5.280.041.980.110.110.00541.31Fabric2.73FlatwoodProducts53.88Glass0.73LargeAppliances19.80MagnetWire0.05MetalCans0.012.59206.10MetalCoils0.762.090.040.00274.61MetalFurniture0.682.160.7485.45MiscellaneousMetalParts0.190.744.620.130.00386.41Ovens49.850.92478.479.622.6518.4629.86Paper0.340.000.610.050.001,043.61PlasticParts1.04250.43SteelDrums1.831.731.78296.44ThinningSolvents110.48WoodFurniture0.060.070.29190.18Other1.268.9111.130.251,529.82FuelCombustion91.060.2038.230.010.401.54Fugitives10.1230.08PetroleumProductStorageFixedRoofTanks2.462.6418.6231.67427.69FloatingRoofTanks532.06VariableVaporSpaceTanks44.81Fugitives77.01BulkTerminals/PlantsFixedRoofTanks1.070.014.230.0368.16FloatingRoofTanks1.79177.24Losses2.470.2884.14VariableVaporSpaceTanks20.09B-6TableB-1:ChicagoNAAEmissions(continued)CategoryPM10PM2.5ttCommercial/InstitutionalIncineration164.8518.5932.345.474.21Other0.110.029.44FuelCombustion2.470.040.110.03IndustrialIncineration41.0943.1722.680.247.72Landfills278.5139.492.741.3219.415.39TSDFs0.223.70Other0.470.477.490.2742.93FuelCombustion0.438.621.442.38SiteRemediationAirStripping69.27SoilVenting7.553.542.31314.39Other1.081.100.451.9890.23PointSourceTotal25,632.13143.7054,049.629,847.662,756.61121,597.9221,190.70AreaSourcesAgricultureFertilizer•953.61Pesticide2,500.00Tilling14,527.022,905.37AircraftRefueling264.41ArchitecturalCoating10,707.15AsphaltPaving2,016.27AutomobileRefinishing2,214.42CommercialCooking851.392,206.262,046.39316.99ConstructionNonresidential10,720.062,144.01Residential2,678.49535.70Roads54,805.1710,961.04ConsumerSolventUse29,919.08DryCleaning1,389.41ForestFires17.070.080.371.66 1.420.100.80B-8TableB-1:ChicagoNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMPrinting/PublishingCleanup0.76200.90Dryers1.483.640.060.00141.13Flexographic1.211.620.10934.92Letterpress0.721.66203.84Lithographic2.222.831,134.52Rotogravure0.360.00487.98ScreenPrinting59.93ThinningSolvents0.0664.99Other24.32Fugitives0.200.200.2526.80PetroleumMarketing/TransportStageI2.65StageII2.83TankCars0.571.570.1871.83Transportation20.38Fugitives0.110.3634.06OrganicChemicalStorageFixedRoofTanks319.24FloatingRoofTanks0.2020.44PressureTanks9.63OrganicChemicalTransport0.060.061.0815.23OrganicSolventEvaporationEvaporation0.100.10146.78Other0.030.184.5839.71552.76FuelCombustion188.34122.095.5517.3328.92SolidWasteDisposalGovernmentIncineration5.594.135.24Landfills381.78196.0911.8229.85183.55SewageTreatment0.070.131.7310.86Other0.030.330.43FuelCombustion0.000.050.17B-7TableB-1:ChicagoNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(tpy)(tpy) (tpy) (tpy)(tpy)(tpy) (tpy)PavementMarkings281.38PortableFuelContainersCommercial622.43Residential5,531.68SolventCleaning7,004.53StructureFires281.206.5650.6146.0651.55WasteWaterTreatmentPOTWs2,444.631273.91Industrial531.22AreaSourceTotals34,239.483,708.7732,325.0689,302.1422,356.043,290.2589,090.21On-roadMobileSourcesHDDV17,892.62136.7485,647.462,430.562,125.441,744.013,347.59HDGV40,433.1695.3910,637.08209.86152.41155.193,151.72LOOT118.380.75147.0817.8015.1715.3365.74LDDV83.000.3572.3712.0310.494.1433.11LDGT12328,567.732,011.2824,530.60544.47273.25730.1915,641.34LDGT34124,062.84679.6210,512.92191.1897.03325.477,086.73LDGV463,060.623,058.4435,472.76799.97388.64870.3429,507.13MC5,000.784.39599.4614.558.155.38766.62On-roadMobileSourceTotals979,219.145,986.95167,619.734,220.423,070.583,850.0459,599.97Off-roadMobileSourcesAgriculturalEquipment2-stroke5.200.000.000.120.110.002.844-stroke839.070.0018.150.050.050.1229.01Diesel796.000.791,377.00160.67147.8323.24166.23AircraftAPUs256.31160.7224.5014.57AirTaxi453.90291.5253.6252.3326.4470.06Commercial5,873.498,559.78216.65 211.45546.45981.88GeneralAviation5,205.80661.6297.6395.2966.98359.38Military29.3814.721.231.200.747.48B-10TableB-1:ChicagoNAAEmissions(continued)CategoryNH3NOxPM10PM2.5502VOMtpy)(tpy)(tpy)(tpy)(tpy) (tpy)FuelCombustion-Commercial/InstitutionalNaturalGas5,901.6031.646,823.13533.51522.3741.85376.81DistillateOil125.5319.94606.5160.1954.591,001.468.51ResidualOil0.300.053.010.360.329.890.06Kerosene2.790.4331.034.022.6286.890.62LPG28.11207.2113.42 13.424.45FuelCombustion-IndustrialNaturalGas6,607.35243.127,688.54489.77489.6915.63389.95DistillateOil95.3014.84385.2718.875.00772.533.81ResidualOil0.190.032.320.310.216.540.01Coal0.000.000.000.000.000.000.00FuelCombustion-ResidentialNaturalGas6,366.4214,961.12302.40302.4095.50875.38DistillateOil11.4741.332.481.9097.791.62Kerosene5.7720.941.311.0049.480.85LPG68.41277.973.653.6510.69Coal2,401.8079.4854.1633.18189.5387.33WoodFireplaces3,993.7187.67600.83600.8313.325,558.05WoodStoves3,873.8747.01520.11520.116.98871.81GasolineMarketingStageI1,137.34StageII1,875.16TankTruckLeaks294.16StorageTankBreathing61.88GraphicArts2,861.52Incineration3,508.721,053.371,696.111,154.80902.18685.26IndustrialSurfaceCoating9,125.61MarineVesselLoadingandTransport227.76OpenBurningPrescribedBurning90.990.411.958.857.590.544.28ResidentialHouseholdWaste3.930.281.761.610.051.38YardWaste3.540.780.780.66B-9TableB-1:ChicagoNAAEmissions(continued)CategoryPM10PM2.5VOMttAirportGroundSupportEquipment2-stroke0.000.000.000.000.000.000.004-stroke561.010.0131.180.220.190.1723.74Diesel260.550.34560.8441.3238.0210.3547.69CommercialEquipment2-stroke1,705.150.085.1641.9138.520.62896.204-stroke130,587.563.602,427.1842.5339.1442.794,257.12Diesel1,748.941.512,587.53325.50299.5147.44469.38ConstructionEquipment2-stroke1,714.070.0512.6446.47 42.720.55758.494-stroke12,656.710.15166.193.272.963.68354.77Diesel9,493.9011.3817,595.541,487.601,368.60336.041,951.28ConstructionandMiningEquipment2-stroke0.000.000.000.000.000.000.004-stroke271.670.0067.950.210.160.0018.27Diesel0.000.000.000.000.000.000.00IndustrialEquipment2-stroke20.760.000.060.520.470.0010.774-stroke55,880.720.519,978.1548.9945.096.913,086.85Diesel1,779.472.883,973.90348.69320.7585.40421.71LawnandGardenEquipment2-stroke25,220.541.15107.14595.73548.008.8113,254.474-stroke267,876.867.233,206.9581.3074.8886.628,981.43Diesel818.570.861,464.35156.06143.5127.54242.07Locomotives3,284.4513.7329,991.82822.68756.861,978.531,310.91LoggingEquipment2-stroke0.000.000.000.000.000.000.004-stroke0.000.000.000.000.000.000.00Diesel0.000.000.000.000.000.000.00B-11TableB-1:ChicagoNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(tpy)(tpy) (tpy) (tpy)(tpy) (tpy)(tpy)MarineVesselsCommercial379.271.162,111.3758.0253.38261.5048.99Recreational2-stroke20,707.90214.60544.85501.2621.8010,409.054-stroke23,509.80789.709.208.4627.852,199.45Diesel129.75799.6521.9520.2096.5030.35RailroadEquipment2-stroke0.000.000.000.000.000.000.004-stroke162.560.002.270.030.030.034.31Diesel81.420.0394.7514.1212.971.4918.86RecreationalEquipment2-stroke2,500.170.1914.784.093.771.372,455.134-stroke13,338.730.64124.274.073.727.96384.62Diesel20.110.0014.763.142.860.214.94UndergroundMiningEquipment2-stroke0.000.000.000.000.000.000.004-stroke0.000.000.000.000.000.000.00Diesel0.000.000.000.000.000.000.00Off-roadMobileSourceTotals588,169.7946.2987,426.245,232.444,834.303,742.6253,272.30AnimalHusbandryBeefCattle282.71Chickens172.08DairyCattle248.16Goats1.79Hogs461.86Horses243.98Sheep4.88Turkeys0.08AnimalHusbandryTotals1,415.55B-12TableB-1:ChicagoNAAEmissions(continued)CategoryPM10PM2.5t tBioenicSources38,667.67TotalsPointSource25,632.13143.7054,049.629,847.662,756.61121,597.9221,190.70AreaSource34,239.483,708.7732,325.0689,302.1422,356.043,290.2589,090.21On-roadMobile979,219.145,986.95167,619.734,220.423,070.583,850.0459,599.97Off-roadMobile588,169.7946.2987,426.245,232.444,834.303,742.6253,272.30AnimalHusbandry1,415.55Biogenic4,188.441,682.5238,667.67Total1,631,448.9711,301.27343,103.17108,602.6633,017.54132,480.84261,820.84B-13

## APPENDIX C

2002 

## EMISSIONS

Metro-East NAATableC-1:Metro-EastNAAEmissionsCategorycoNH3NOxPM10PM2.5S02VOMPointSourcesExternalFuelCombustionElectricGenerationCoal2,160.762.3824,712.012,247.721,099.9833,531.84376.06DistillateOil0.020.000.130.000.230.00NaturalGas20.163.30136.881.511.140.311.73IndustrialDistillateOil2.770.4011.000.590.0528.750.14NaturalGas176.743.83303.7013.5911.022.7525.55ResidualOil36.220.12143.943.200.63193.522.65Other843.550.631,255.60161.6868.701,604.2325.44Commercial/InstitutionalDistillateOil0.260.041.150.052.280.01NaturalGas61.263.31180.159.469.460.664.67ResidualOil0.41Other227.6341.720.000.00907.2485.90SpaceHeatingNaturalGas0.050.000.270.000.000.01InternalFuelCombustionElectricGenerationDistillateOil4.670.0236.990.981.330.93LandfillGas124.0068.962.0010.28NaturalGas8.160.0437.200.270.101.36IndustrialDiesel0.290.001.270.020.020.05DistillateOil2.6912.490.870.030.820.96NaturalGas1.060.001.380.080.000.01Other0.264.510.070.080.12Commercial/InstitutionalDistillateOil0.650.001.990.012.400.01EngineTestingJetFuel0.330.90Fugitives0.140.530.010.000.01C-1TableC-1:Metro-EastNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(tpy)IndustrialProcessesChemicalManufacturingFixedRoofTanks0.37FloatingRoofTanks0.11Ink3.00Paint0.007.89Plastics1.02SulfuricAcid3.281,378.62Varnish1.54Other3.2810.64 10.90 19.09235.08419.19FuelCombustion0.080.000.160.00Fugitives19.98Food/AgricultureBakeries0.413.272.88FeedManufacturing21.97GrainElevators118.08Milling3.09Other0.380.166.750.1213.36Fugitives3.84PrimaryMetalProductionBy-productCoke15.756.903.1230.4910.6520.9985.37Copper0.14Ferroalloy6.19Iron16.60516.0447.89259.61125.49Steel12,296.97164.55440.45243.3714.9745.53Zinc61.50Other0.070.370.10FuelCombustion0.240.011.030.090.000.01Fugitives1.97SecondaryMetalProductionAluminum0.090.691.180.060.000.01Copper482.210.0612.4565.192.662.393.00Gr"l'_lron0.112.1972.180.6717.38C-2TableC-1:Metro-EastNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMLead0.776.495.460.00Steel0.1012.4063.792.0329.88Zinc2.94Other0.030.5470.4013.960.0033.85FuelCombustion1,332.860.9254.542.471.560.381.91Fugitives0.020.070.00MineralProductsAsphaltManufacturing37.5110.7110.587.2718.69Brick2.529.240.76BulkMaterials0.0146.860.05ConcreteManufacturing0.361.10167.01Mining10.71Sand/Gravel2.87StoneQuarrying47.52SurfaceMining22.490.00Other27.130.45FuelCombustion3.230.4829.160.0428.000.63Fugitives0.42PetroleumIndustryCoolingTowers891.8615.78FCCU0.049.531,060.68672.23672.2311,519.670.02Flares196.4136.13542.7441.48ProcessHeaters1,197.960.283,153.30126.3847.711,083.5567.84WasteWater0.350.010.04148.77Other46.73176.020.130.01Fugitives352.87PaperandWoodProductsPulpboard0.81Woodworking1.75Other0.394.07FuelCombustionRubberandPlasticProductsPlasticProducts0.091.34C-3TableC-1:Metro-EastNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMFabricatedMetalProductsPlating0.00Welding1.28Other0.400.810.410.010.005.48OilandGasProductionNaturalGas0.080.432.31FuelCombustion0.433.600.540.10MiscellaneousMachinery0.030.200.64TransportationEquipment0.81HealthServicesCrematories0.35Sterilizers0.30LeatherandLeatherProducts1.04TextileProducts1.95ProcessCooling0.06In-ProcessFuelUseCoal0.000.000.000.000.00NaturalGas126.211.211,246.5118.6013.02109.692.46Other354.741,375.52145.6864.432,760.204.19MiscellaneousManufacturingMiscellaneousManufacturing0.100.100.477.66FuelCombustion228.52140.7952.945.20269.540.06OrganicSolventEmissionsOrganicSolventUseColdCleaning0.01Degreasing46.48DryCleaning33.98Fugitives3.62SurfaceCoatingOperationsAdhesives21.29Automobiles6.55MagnetWire38.72C-4TableC-1:Metro-EastNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMMetalCoils3.7125.860.15138.76MiscellaneousMetalParts84.09Ovens2.020.002.420.010.001.07Paper0.7838.76ThinningSolvents4.56Other0.05114.49FuelCombustion1.060.001.450.07Fugitives13.840.50PetroleumProductStorageFixedRoofTanks0.430.110.00931.49FloatingRoofTanks132.19VariableVaporSpaceTanks0.070.040.12Fugitives449.80BulkTerminals/PlantsFixedRoofTanks58.22FloatingRoofTanks331.56Losses108.26Printing/PublishingCleanup1.20Flexographic18.30Lithographic8.26Rotogravure12.33Other9.99PetroleumMarketing/TransportStageI4.54TankCars1.050.520.0033.96Transportation228.81Fugitives14.94OrganicChemicalStorageFixedRoofTanks0.010.500.120.0019.33FloatingRoofTanks5.02PressureTanks0.11C-5TableC-1:Metro-EastNAAEmissions(continued)CategoryPM10PM2.5ttOrganicSolventEvaporationEvaporation12.50Other0.414.081.090.1510.37SolidWasteDisposalGovernmentLandfills69.9761.700.542.698.92Commercial/InstitutionalIncineration10.456.802.311.903.97FuelCombustion0.03IndustrialIncineration5.060.0012.627.901.990.47Landfills237.0626.824.335.940.70TSDFs0.23Other1.53SiteRemediationAirStripping24.89SoilVenting18.51Other5.4080.35PointSourceTotal20,332.4444.1934,453.306,401.282,313.9354,541.905,094.49AreaSourcesAgricultureFertilizer585.36Pesticide956.96Tilling9,355.631,871.09AircraftRefueling38.46ArchitecturalCoating708.35AsphaltPaving472.94AutomobileRefinishing146.16CommercialCooking52.03134.57124.8719.47ConstructionNonresidential854.05170.82Residential203.2340.65Roads4,479.06895.82C-6TableC-1:Metro-EastNAAEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(t[ly)(t[ly)(t[ly)(t[ly)(t[ly)(t[ly)(t[ly)ConsumerSolventUse1,979.37DryCleaning80.61ForestFires10.960.050.241.070.910.060.52FuelCombustion-Commercial/InstitutionalNaturalGas266.841.38275.6720.1019.101.5416.30DistillateOil5.780.9528.002.812.5347.110.40ResidualOil0.040.010.440.020.021.48O.Q1Kerosene0.130.021.430.180.124.010.02LPG1.309.600.620.620.21FuelCombustion-IndustrialNaturalGas337.159.81376.1622.0221.800.5917.61DistillateOil1.000.734.020.300.2426.740.03ResidualOil0.140.021.670.210.143.400.01Coal0.000.000.000.000.000.000.00FuelCombustion-ResidentialNaturalGas371.82873.7717.6617.665.5751.12DistillateOil2.388.580.510.3920.290.33Kerosene1.204.340.270.2110.270.18LPG23.0593.641.221.223.60Coal18.620.620.420.251.470.68WoodFireplaces1,849.2438.46366.49366.498.954,112.70WoodStoves2,605.1731.60349.79349.794.69586.29GasolineMarketingStageI115.95StageII864.19TankTruckLeaks34.35StorageTankBreathing6.32GraphicArts321.57Incineration225.3668.55112.2276.4059.6944.20IndustrialSurfaceCoating603.72MarineVesselLoadingandTransport191.67C-7TableC-1:Metro-EastNAAEmissions(continued)CategoryPM10PM2.5VOMt ttOpenBurningPrescribedBurning58.300.261.255.674.860.342.74ResidentialHouseholdWaste4.790.342.141.960.061.70YardWaste11.362.472.472.11PavementMarkings40.63PortableFuelContainersCommercial44.61Residential396.44SolventCleaning422.67StructureFires20.530.473.703.363.76WasteWaterTreatmentPOTWs251.24130.92Industrial217.42AreaSourceTotals5,867.20849.831,818.8415,936.413,973.79196.2612,637.29On-roadMobileSourcesHDDV1,846.8413.447,638.71245.65 215.44170.67357.87HDGV5,131.419.371,063.58220.2016.2933.41391.88LDDT15.260.0716.512.101.811.488.82LDDV8.890.037.901.361.200.423.82LDGT1240,415.81195.182,740.8859.8133.01154.692,423.27LDGT3416,392.6465.261'178.8521.8712.3269.251,155.24LDGV50,421.28299.403,689.3984.7044.28185.003,656.10MC538.350.4354.071.450.821.1478.26On-roadMobileSourceTotals114,770.47583.1916,389.90439.14325.17616.068,075.27Off-roadMobileSourcesAgriculturalEquipment2-stroke3.880.000.000.080.070.002.244-stroke638.780.0014.650.050.050.0522.68Diesel634.300.631,097.12128.03 117.8318.58132.45AircraftAPUs0.000.000.000.000.000.00AirTaxi63.214.221.271.240.0310.44Commercial0.610.610.030.030.05o.11IC-8TableC-1:Metro-EastNAAEmissions(continued)CategoryPM10PM2.5ttGeneralAviationMilitaryAirportGroundSupportEquipment2-stroke0.000.000.000.000.000.000.004-stroke18.870.001.100.000.000.000.76Diesel9.140.0019.701.45 1.330.361.68CommercialEquipment2-stroke57.510.000.201.511.360.0232.134-stroke4,481.310.0687.821.481.36 1.23148.46Diesel62.980.0293.1011.6510.741.6316.87ConstructionEquipment2-stroke75.760.000.652.182.010.0235.624-stroke569.420.007.840.050.040.0416.10Diesel447.590.42829.8069.8264.3115.6791.79ConstructionandMiningEquipment2-stroke0.000.000.000.000.000.000.004-stroke12.790.003.180.000.000.000.78Diesel0.000.000.000.000.000.000.00IndustrialEquipment2-stroke0.810.000.000.020.020.000.444-stroke2,308.160.00414.851.941.770.58127.36Diesel91.480.11201.1617.9616.484.2622.01LawnandGardenEquipment2-stroke1,284.740.035.7731.6329.090.36730.874-stroke12,071.490.36188.954.764.373.97533.91Diesel36.700.0265.616.976.391.1410.78Locomotives140.000.611,261.7235.24 32.4287.5452.92LoggingEquipment2-stroke0.000.000.000.000.000.000.004-stroke0.000.000.000.000.000.000.00Diesel0.000.000.000.000.000.000.00C-9TableC-1:Metro-EastNAAEmissions(continued)CategoryPM10PM2.5ttMarineVesselsCommercial562.351.782,978.7170.4664.82255.7466.77Recreational2-stroke598.156.1615.7214.470.54300.774-stroke101.963.350.000.000.109.51Diesel0.623.450.000.000.420.10RailroadEquipment2-stroke0.000.000.000.000.000.000.004-stroke11.190.000.180.000.000.000.28Diesel5.870.006.841.040.950.081.33RecreationalEquipment2-stroke257.300.011.820.080.080.10286.984-stroke2,558.100.0924.010.730.680.9762.96Diesel2.480.001.840.380.350.010.59UndergroundMiningEquipment2-stroke0.000.000.000.000.000.000.004-stroke0.000.000.000.000.000.000.00Diesel0.000.000.000.000.000.000.00Off-roadMobileSourceTotals28,305.564.147,411.29425.35392.57394,282,841.01AnimalHusbandryBeefCattle168.37Chickens85.36DairyCattle66.80Goats1.27Hogs659.13Horses59.31Sheep3.44Turkeys0.07AnimalHusbandTotals1,043.74C-10TableC-1:Metro-EastNAAEmissions(continued)CategoryPM10PM2.5t tBioenicSourcesTotalsPointSource20,332.4444.1934,453.306,401.282,313.9354,541.905,094.49AreaSource5,867.20849.831,818.8415,936.413,973.79196.2612,637.29On-roadMobile114,770.47583.1916,389.90439.14325.17616.068,075.27Off-roadMobile28,305.564.147,411.29425.34392.57394.282,841.01AnimalHusbandry1,043.74Biogenic2,517.50956.0318,495.75Total171,793.172,525.0961,029.3623,202.167,005.4755,748.5047,143.80C-11

## APPENDIX D

2002 EMISSIONS

Attainment AreaTableD-1:AttainmentAreaEmissionsCategoryNH3NOxPM10PM2.5S02VOMtpy)(tpy)(tpy)(tpy) (tpy) (tpy)PointSourcesExternalFuelCombustionElectricGenerationCoal7,023.1135.17119,603.382,976.961,592.30260,527.49920.00DistillateOil529.940.682,216.06175.698,823.8766.27NaturalGas334.048.90718.7133.5933.5415.2155.15ResidualOil7.781.89106.905.714.15163.171.56IndustrialCoat2,136.7312.017,510.71824.51298.2733,628.3657.67DistillateOil39.296.29135.406.2240.662.52NaturalGas1,889.85187.913,335.04353.19347.04189.98170.72ResidualOil1.250.3514.390.900.0128.030.44Other146.970.43304.2120.507.822.277.94Commercial/InstitutionalCoat487.820.04784.93281.6997.578,481.163.56DistillateOil3.390.9015.430.6023.910.22NaturalGas559.774.931,128.8558.5258.6852.1158.69ResidualOil3.270.3819.711.6555.860.42Other4.510.0612.602.910.070.15SpaceHeatingDistillateOil1.5717.471.040.000.00NaturalGas52.53 17.25180.543.740.6029.97Other1.128.600.53InternalFuel'CombustionElectricGenerationDistillateOil43.640.57209.354.540.4421.596.17LandfillGas387.36255.345.0261.0934.02NaturalGas1,002.596.222,584.8998.4457.5913.1868.25IndustrialDiesel4.660.2822.470.510.750.66DistillateOil53.532.82128.378.7527.925.72NaturalGas3,398.5217.4519,062.41139.5443.655.99689.45Other40.6169.420.420.225.96D-1TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOM(tpy)(tpy)(tpy)Commercial/Institutional(tpy)(tpy)(tpy)(tpy)DistillateOil2.420.0210.430.320.290.26LandfillGas158.3087.846.905.0113.07NaturalGas2.330.152.770.210.010.15EngineTestingDiesel49.81245.973.8215.0015.01JetFuel0.220.28Other0.010.000.160.000.000.00Fugitives47.4311.542.1126.78IndustrialProcessesChemicalManufacturingAdhesives3.39FixedRoofTanks3.121.200.45Ink0.5348.81NitricAcid645.90264.907.42Paint3.54139.84Pharmaceuticals6.0078.98Plastics0.065.1421.0656.35753.47PressureTanks0.43SyntheticOrganicFiber0.006.22SyntheticRubber105.3020.96Varnish0.1410.51Other711.0589.56175.84462.0747.474,040.937,224.60FuelCombustion920.450.24118.3752.071.831.80Fugitives0.1015.72Food/AgricultureBakeries0.280.6412.530.00105.55Beer15.0833.19Candy0.030.670.2250.84FeedManufacturing2.50268.900.02GrainElevators4.1231.143,929.8410.460.090.62Milling5,634.86739.231,074.4912.571,185.541,404.33Smokehouses6.244.793.97D-2TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(tpy)StarchManufacturing95.51VegetableOil29.2815,310.70Other5,234.190.10133.13942.6216.90148.48 596.45FuelCombustion64.734.79115.9226.6533.884.24Fugitives0.000.47106.03PrimaryMetalProductionBy-productCoke4.97Ferroalloy0.130.0667.170.070.50Iron10.2729.47Steel1,792.98609.8876.6637.77273.83240.05Other3.15FuelCombustion10.920.3017.310.870.080.050.80SecondaryMetalProductionAluminum16.860.2229.4572.521.4529.44Copper0.180.2236.470.141.30GrayIron340.990.0449.43484.6375.57114.48271.06HeatTreating0.226.040.3435.24Lead0.730.04LeadBattery6.13Steel54.3630.46280.593.220.5578.27Zinc0.970.006.9630.7824.629.90Other1.075.117.040.1212.76FuelCombustion60.402.8195.6519.400.3828.334.10Fugitives1.360.60MineralProductsAsphaltManufacturing868.960.03438.11131.34408.90346.20AsphaltRoofing2.791.490.8914.15Brick94.0727.0050.97151.794.51BulkMaterials0.150.72182.510.008.59CementManufacturing7,981.229,135.331,195.3028.234,258.52258.92CoalMining0.120.1227.40ConcreteManufacturing1,475.42GlassManufacturing75.664,754.56412.92285.04984.63161.05D-3TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM------Mining0.780.4247.270.42Sand/Gravel1.114.75213.401.040.06StoneQuarrying16.6624.98993.290.290.0039.80SurfaceMining116.8642.67669.1344.6796.42Other107.26636.23 619.7574.476,077.36376.33FuelCombustion35.692.4389.986.110.342.11Fugitives26.79PetroleumIndustryCoolingTowers113.8329.30FCCU327.87350.86142.90 142.9062.63113.38Flares2.701.870.0027.16ProcessHeaters638.631,051.6394.6294.4110.4770.34WasteWater0.000.310.00228.01Other16.985.850.83100.75423.67Fugitives22.4324.60244.1297.28PaperandWoodProductsPlywood0.060.330.26Pulpboard4.133.86Woodworking2.06Other6.607.2561.020.04190.96FuelCombustion0.070.090.00Fugitives8.48RubberandPlasticProductsPlasticFoam0.010.080.3283.40PlasticProducts0.261.9940.600.00940.51TireManufacturing55.3844.33120.080.01600.00Other0.4322.8487.99FuelCombustion0.620.103.660.290.150.18FabricatedMetalProductsDrumReclamation0.220.000.260.020.000.01Plating0.102.860.000.154.68Welding7.0620.80Other13.640.0015.2260.497.76304.85D-4TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOM(t[>}')(t[>y)(t[>y)(t[>y)(t[>y)(t[>y)(t[>y)FuelCombustion38.101.7449.976.980.2219.96Fugitives1.29OilandGasProductionCrudeOil185.89NaturalGas75.8333.940.55235.4616.23Other0.281.3929.98FuelCombustion0.432.140.000.000.68Fugitives4.67MiscellaneousMachinery3.610.700.560.810.66ElectricalEquipment0.090.302.070.0055.83TransportationEquipment0.600.771.800.00203.51HealthServicesCrematories19.281.550.220.740.30Sterilizers7.40LeatherandLeatherProducts57.77TextileProducts0.100.470.04ProcessCooling9.831.31In-ProcessFuelUseDistillateOil2.0312.870.0311.020.30NaturalGas182.691.46470.0215.680.4620.89124.26Other44.7132.746.640.0740.72MiscellaneousManufacturingMiscellaneousManufacturing51.720.00158.194.229.50205.80FuelCombustion153.690.1494.1652.1454.897.74OrganicSolventEmissionsOrganicSolventUseColdCleaning238.78Degreasing189.65DryCleaning185.89Other0.33Fugitives117.33D-5TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOM(tpy)(tpy)SurfaceCoatingOperationsAdhesives0.08114.33Aircraft0.60Automobiles7.3417.471.600.00925.30Fabric0.50FlatwoodProducts144.65LargeAppliances9.14MagnetWire13.39MetalCans4.815.730.03655.20MetalCoils1.441.710.1356.31MetalFurniture0.4922.11MiscellaneousMetalParts0.510.9714.23854.45Ovens32.691.6055.605.120.1230.70Paper0.723.500.37178.05PlasticParts5.76375.57SteelDrums0.266.60ThinningSolvents0.02266.95WoodFurniture1.10430.80Other7.9811.6719.780.061.262,160.93FuelCombustion6.530.227.700.020.020.64Fugitives2.116.230.090.0097.80PetroleumProductStorageFixedRoofTanks1,012.13FloatingRoofTanks557.46VariableVaporSpaceTanks58.81Fugitives347.11BulkTerminals/PlantsFixedRoofTanks413.41FloatingRoofTanks188.68Losses2.385.21113.64VariableVaporSpaceTanks20.24D-6TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMPrinting/PublishingCleanup46.50Dryers1.6779.30Flexographic279.23Letterpress178.14Lithographic5.85697.49Rotogravure1,506.30ScreenPrinting17.56ThinningSolvents53.77Other72.36Fugitives55.6949.36PetroleumMarketing/TransportPipelines1.31StageI26.27StageII15.33TankCars93.39Fugitives116.37OrganicChemicalStorageFixedRoofTanks0.116.560.001,177.36FloatingRoofTanks15.04PressureTanks6.46OrganicChemicalTransport70.95OrganicSolventEvaporationEvaporation0.010.0111.69895.13Other0.580.22193.78FuelCombustion7.100.53SolidWasteDisposalGovernmentIncineration3.150.361.170.310.36Landfills696.94310.7699.30144.73331.80SewageTreatment40.8814.0650.003.69Other4.88D-7TableD-1:AttainmentAreaEmissions(continued)CategoryPM10PM2.5VOMtttCommercial/InstitutionalIncineration123.4843.3029.9211.339.74IndustrialIncineration18.171.691.820.460.49Landfills82.7137.7718.0418.5923.55TSDFs0.110.30Other1.492.670.110.9519.62SiteRemediationAirStripping63.48SoilVenting1.762.271.76126.89Other10.6161.80PointSourceTotal45,920.52433.89179,310.9020,326.213,396.17330,957.6450,399.42AreaSourcesAgricultureFertilizer23,540.83Pesticide36,962.13Tilling358,820.4571,763.95AircraftRefueling9.62ArchitecturalCoating4,847.29AsphaltPaving9,067.40AutomobileRefinishing2,382.89CommercialCooking372.99962.91892.86139.10ConstructionNonresidential10,713.272,142.62Residential1,123.09224.56Road22,920.674,584.11ConsumerSolventUse13,545.03DryCleaning421.96ForestFires237.201.075.0923.0719.781.4011.16FuelCombustion-Commercial/InstitutionalNaturalGas1,695.168.481,854.20147.94140.7611.32106.96DistillateOil40.335.94195.8419.8718.04330.902.73ResidualOil0.300.042.880.120.1010.210.07D-8TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5S02VOMlteyllteyllteyllteyllteyllteyllteylKerosene0.880.1310.071.250.8028.650.19LPG9.0367.164.48 4.481.36FuelCombustion-IndustrialNaturalGas2,315.4979.402,480.07187.67175.0213.32136.89DistillateOil39.835.98167.388.302.27353.201.48ResidualOil5.650.9363.9711.758.06206.040.30Coal0.000.000.000.000.000.000.00FuelCombustion-ResidentialNaturalGas2,572.626,045.60122.18122.1838.60353.68DistillateOil14.6452.733.152.40124.812.05Kerosene7.3526.731.62 1.3363.181.09LPG279.061,133.7014.83 14.8343.62Coal1,072.4535.5424.1914.8184.6439.01WoodFireplaces24,066.82409.793,346.443,346.4459.7718,433.61WoodStoves17,379.19210.822,333.41 2,333.4131.433,911.16GasolineMarketingStageI5,088.62StageII6,777.69TankTruckLeaks269.57StorageTankBreathing991.21GraphicArts1,717.70Incineration1,528.73472.67767.90522.81408.46308.40IndustrialSurfaceCoating4,131.33MarineVesselLoadingandTransport522.82OpenBurningPrescribedBurning1,134.785.1124.35110.3494.636.6853.40ResidentialHouseholdWaste419.8629.66187.69171.904.93148.13YardWaste673.72147.10147.10125.61PavementMarkings499.96PortableFuelContainersCommercial312.05Residential2,773.16D-9TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOM(tpy) (tpy) (tpy) (tpy)(tpy)(tpy) (tpy)SolventCleaning3,733.51StructureFires143.873.3925.8923.5726.40WasteWaterTreatmentPOTWs1,699.37885.55Industrial1,876.85AreaSourceTotals54,009.9325,347.2613,291.65402,029.5686,772.801,777.52120,662,72On-roadMobileSourcesHDDV12,923.9897.2855,656.211,778.16 1,559.781,235.692,474.47HDGV39,292.5667.867,923.38160.86118.08241.853,012.92LOOT132.160.53131.5317.1814.9410.5676.35LDDV63.460.2559.469.488.303.0526.75LDGT12378,136.221,405.7322,843.17432.99237.901,123.0124,220.48LDGT34175,459.65457.199,952.23174.63101.15504.4013,054.74LDGV461,888.192,171.8528,874.92611.53318.921,341.5032,379.81MC3,871.073.12418.4010.515.958.27575.04On-roadMobileSourceTotals1,071,767.294,203.81125,859.303,195.342,365.034,468.3375,820.56Off-roadMobileSourcesAgriculturalEquipment2-stroke129.030.000.053.142.840.0074.814-stroke21,051.310.05500.392.181.92 1.95756.64Diesel21,071.1320.6336,446.414,253.893,913.48616.514,401.73AircraftAPUs0.000.000.000.000.000.00AirTaxi736.2849.1014.8114.450.37121.65Commercial161.44161.447.257.0811.9829.47GeneralAviation5,325.4841.1596.96 94.654.10198.76Military297.7674.464.494.380.1182.22AirportGroundSupportEquipment2-stroke0.000.000.000.000.000.000.004-stroke22.150.001.300.000.000.000.91L_______Diesel10.800.0023.231.701.550.401.96D-10TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOM(tpy)CommercialEquipment2-stroke583.150.001.8215.1113.850.05325.454-stroke45,051.270.36911.2513.03 11.8510.271,511.14Diesel636.460.05943.09116.24106.9015.24169.02ConstructionEquipment2-stroke742.450.006.1721.1719.320.05348.684-stroke5,525.270.0075.240.210.160.07154.89Diesel4,373.341.908,112.70678.22623.77148.21892.31ConstructionandMiningEquipment2-stroke0.000.000.000.000.000.000.004-stroke124.130.0029.760.000.000.006.44Diesel0.000.000.000.000.000.000.00IndustrialEquipment2-stroke8.470.000.000.160.130.004.634-stroke25,107.180.024,429.6820.3118.732.431,362.06Diesel835.140.501,882.37161.55148.3838.46197.29LawnandGardenEquipment2-stroke7,216.850.0930.26176.13162.121.224,149.574-stroke80,130.541.731,166.1427.4725.1418.193,266.13Diesel181.220.06324.1734.03 31.225.6253.23Locomotives4,964.7221.1044,922.891,246.381,146.683,041.871,934.21LoggingEquipment2-stroke2.080.000.020.060.060.001.024-stroke4.730.000.050.000.000.000.23Diesel0.510.001.630.110.100.030.12MarineVesselsCommercial2,554.618.4113,764.30332.62306.011,207.99315.35Recreational2-stroke8,459.0586.94221.93 204.186.964,252.184-stroke1,311.8444.150.000.000.65122.64Diesel6.5344.600.050.054.780.95D-11TableD-1:AttainmentAreaEmissions(continued)CategorycoNH3NOxPM10PM2.5502VOM(tpy) (tpy) (tpy)(tpy)(tpy) (tpy) (tpy)RailroadEquipment2-stroke0.000.000.000.000.000.000.004-stroke75.690.000.760.000.000.001.77Diesel39.810.0046.516.395.910.298.77RecreationalEquipment2-stroke14,244.042.10117.25 199.75183.8021.0411,160.954-stroke17,037.110.90179.635.475.257.89562.88Diesel32.660.0024.254.884.650.087.48UndergroundMiningEquipment2-stroke0.000.000.000.000.000.000.004-stroke0.000.000.000.000.000.000.00Diesel72.510.0381.0311.2110.321.2818.29Off-roadMobileSourceTotals268,126.7457.93114,524.197,676.90 7,068.935,168.0936,495.83AnimalHusbandryBeefCattle8,327.21Chickens1,650.17DairyCattle3,707.43Goats72.96Hogs25,551.15Horses1,214.23Sheep198.53Turkeys999.76AnimalHusbandryTotals41,721.45BiogenicSources72,753.8336,134.36471,419.82TotalsPointSource45,920.52433.89179,310.9020,326.213,396.17330,957.6450,399.42AreaSource54,009.9325,347.2613,291.65402,029.5686,772.801,777.52120,662.72On-roadMobile1,071,767.294,203.81125,859.303,195.342,365.034,468.3375,820.56Off-roadMobile268,126.7457.93114,524.197,676.907,068.935,168.0936,495.83AnimalHusbandry41,721.45Biogenic72,753.8336,134.36471,419.82Total1,512,578.3071,764.35469,120.40433,228.0199,602.93342,371.59754,798.35D-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 ApportionmentTableF-1:NonattainmentTownshipSurrogatesandApportionmentPercentofCountyValueSurrogateCategoryGrundyKendallRandolphCountyCountyCountyTownshipsTownships TownshipsAreaAgriculturalFertilizerAgriculturalPesticideApplicationAgriculturalTilling13.012.07.1ForestFiresPrescribedBurningHousesConstruction-Residential16.052.03.33Construction-NonresidentialInversePopulationDensityAnimalHusbandry3.20.82.9MilesofRoadwayAsphaltPavingConstruction-Roadway11.023.08.5PavementMarkingsMilesofWaterMarineVesselVOLLoadingandTransport50.00.018.7PopulationArchitecturalCoatingAutomobileRefinishingCommercialCookingConsumerSolventUseDryCleaningFuelCombustion-Commercial/InstitutionFuelCombustion-IndustrialFuelCombustionFuelCombustion-Residential17.052.01.4GraphicArtsIncinerationIndustrialCoatingIndustrialWasteWaterTreatmentOpenBurningPortableFuelContainersPOTWsSolventCleaningStructureFiresVMTGasolineMarketing22.030.02.0On-roadMobile.....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 (10 3 gal) Oil (1 0 3 gal) (1 0 3**~al)** (1 0 3**~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• tt 3 l Oil (1 0 3 !.lal) Oil (1 0 3 gal) 110 3 !.lall (1 0 3 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 (10 6 

### ft 3 ) 

### Oil (1 0 3 

### gal) Oil (1 0 3 

### gal) (10 3 

### gal) (1 0 3 

### 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 (10 6 

### ft 3 ) Oil (1 0 3 gall Oil (1 0 3 !:!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 0 6 

### ttl) Oil (1 0 3 gal) Oil (1 0 3 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
c1o 6 

# te> Oil (10 3 

### aal) Oil (1 0 3 

### 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 0 3 gal) (tons) (10 3 gal) (tons) (10 6 

### ft 3 l (10 3 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 (10 3 

### gal) (tons) (1 0 3 

### gal) (tons) (1 0 6 

### ft 3 ) 

### (1 0 3**~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 0 3 gal) (tons) (1 0 3 gal) (tons) (10 6 

### ft 3 ) (1 0 3 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-12CountyIn!01Adams120,106Alexander41,613Bond458,205Boone434,957Brown0Bureau664,188Calhoun0Carroll0Cass0Champaign1,174,967Christian0Clark600,076Clay4,352Clinton167,733Coles298,598Cook0Crawford0Cumberland561,818DeKalb285,982DeWitt96,358Douglas295,028DuPage0Edgar0Edwards0Effingham775,029Fayette587,191Ford94,906Franklin387,623Fulton0Gallatin0Greene0Grundy893,562Hamilton0Hancock0TableG-5:AverageDailyVehicleMilesofTravel(ADVMT)byCountyandHPMSFunctionalClassRuralUrbanOPAMinAr!MajColMinColLocalIn!OEFOPAMinArtColi02 060708 091112 131617141,876240,411172,01219,682125,44000143,749215,162163,89987,04496,60159,8433,62350,86600000635104,10099,28414,06867,4730020,60628,2088,88363,156250,779185,50619,936157,08178,728097,14188,02620,78761,34121,66640,8592,49334,6900000043,419183,371201,15829,164145,09540,535064,71068,84215,61529,9494,17747,1396,89721,8160000085,102161,24775,1153,620103,0320000022,890128,68747,4965,33451,5870023,83232,6175,42781,227350,407475,33918,867272,542527,5980578,326657,224290,67395,790247,944135,8226,316131,27500135,69655,83238,16990,10142,207160,21213,972143,45800000157,69721,24679,9262,930102,1880019,50936,66612,391190,862234,577248,86731,468144,7880017,1618,26910,01129,278168,099178,7684,122111,70954,1050333,951167,85289,2370000030,853,3421,654,94820,599,34617,951,75313,091,24181,85591,42995,9496,124115,7840043,39526,80614,8200126,21999,7071,78155,96000000113,609362,031287,07839,163259,04044,6790224,541220,23766,911158,250107,08649,49990362,77108,68038,45511,55510,326116,128154,317101,65310,737116,14000000000007,106,382188,5316,923,3394.877,4431,815,217134,006113,43258,8946,11974,4540061,52323,10112,90313,193107,51035,22489349,1190000054,657173,242242,33112,240123,661150,3220147,70681,30334,24585,39455,749126,69413,238128,34265,499044,57436,7627,73467,446127,11170,4232,839101,649000000329,227138,122908142,707185,6360113,00569,66531,213182,925308,989125,1291,824119,8070070,54331,60130,06079,79151,38650,1497,11647,68800000121,66798,33556,02710,07554,78200000116,51026,970266,85723,422129,196110,699084,72668,71413,1690127,74334,0173,04276,98900000144,282187,38790,8491,530153,23200000G-13CountyLocalTotal1978,2201,420,5550339,59011,441812,90348,9381,445,0360161,04837,0641,493,1610109,9770428,11511,411329,281359,8884,787,05846,729893,57301,050,02612,648449,5526,0461,059,78171,3211,507,0429,484,28993,634,92018,133494,2940845,485137,1492,040,42011,085554,9680794,0022,430,09723,341,00818,961503,3940205,94044,2361,838,97311,8091,162,9840464,37457,779I,455,88432,204903,0810236,2300340,88629,672I,763,4990241,7910577,280Countylnt01Hardin0Henderson0Henry765,065Iroquois547,240Jackson0Jasper0Jefferson949,030Jersey0JoDaviess0Johnson395,274Kane701,912Kankakee219,830Kendall0Knox410,643Lake0LaSalle1,128,357Lawrence0Lee731,263Livingston696,316Logan826,343McDonough0McHenry391.277Mclean1,649,573Macon264,546Macoupin285,004Madison1,000,285Marion403.585Marshall219,468Mason0Massac204.123Menard0Mercer0Monroe0Montoomerv711.705TableG-5:AverageDailyVehicleMilesofTravel(ADVMT)byCountyandHPMSFunctionalClass(continued)RuralUrbanOPAMinArtMajColMinColLocallntOEFOPAMinArtColi02060708091112 131617085,6008,4665,28027,77700000109,633109,63850,95230860,890000000259,784345,2337,880158.444100,414087,90982,01121,956235,602116,651228,8746,090185,4830041,1005,9079,546165,357 151,552155,02810,295100,07500407,985169,49484,7970203,38361,2694,94097,4280000017,318170,294196,42115,647156,249102,1200158,62783,64041,127244,74636,039114,81410,83659,9190051,81313,73314,560273,24443,50485,42712,861127,3750057,8354,4123,08746,755109,24563,9131,50955,97500000651,33193,941502,920114,822234,319915,391171,4641,463,5521,783,491616,362226,915192,050322,76156,249199,309345,6660429,188241,236129,191344,704146,718327,692814202,18200321,341111,95443,9620182,742226,01714,738138,23657,23673,22821.802266,84766,342000002,688,913287,1975,683,9474,493,5041,020,06279,180486,783513,00811,477290,041346,1280394,860233,418109,329198,96522,872140,9278,09697,28100000154,113193,149 169,24821,502115,9423,3960122,45252.15820,071185,640249,669 211,3554,338183,54929,526050,04025,25431,950101,83671,942141,43111,93296,3460058,28770,53923,772193,129110,36387,6412,970114,4190090,98850,33042,998678,9930224,57676,514176,475001,851,551788,753 649,633257,249159,447464,6638,414240,037602,37137,989594,571653,825212,900221,77570,026150,8739,427137,170158,68162,763766,948530,663190,22389,373355,191235,27229,572230,1660026,4967,61617,810150,550358,165197,76334,726196,6081,505,211110,7831,932,279901,254497,540186,01043,552195,66511,449140,11313,9990170,37456,93658,67668,860130,73075,0449,51867,0470000059,555100,198103,0219,304103,19000000029,005157,1859,35663,32146,302054,65316,38718,3030139,18371,3339,16650,9810000071,766102,310116,5178,68587,27300000173,58274,91671,3744,65970,389175,55147,444168,01560,54317,399129,408134,116195,89018,834157.5407,224036,41131,13517,497G-14CountyLocalTotal190127,1240331,42184,210I,912,90610,5161,387,008106,8051,351,3900367,02145,9821,936,45517,908564,3665.990613,7470672,6711,041,4729,290,976183.1022,545,498111,8931,611,26285,8381,543,6691,742,52315,916,146163,0483,755,6290468,14131,1061,614,40030,1401,697,77740,2851,442,71337,491730,328778,8265,616,598272,5415,153,580194,1082,757,20315,1721,291,672716,1797,601,34350,190I,330,5480570,6660375,26812,915631,5510270,6630386,55161,128925,00119.6731,460,432CountyIn!01Morgan201,588Moultrie0Ogle551,529Peoria389,555Perry0Piatt380,124Pike265,725Pope0Pulaski168,945Putnam3,125Randolph0Richland0RockIsland384,273St.Clair163,290Saline0Sangamon1,083,901Schuyler0Scott88,422Shelby54,564Stark0Stephenson0Tazewell360,403Union171,800Vermilion335,485Wabash0Warren0Washington536,008Wayne218,670White127,913Whiteside317,594Will954,630Williamson455,850Winnebago375,173Woodford576,960Total28,608,656TableG-5:AverageDailyVehicleMilesofTravel(ADVMT)byCountyandHPMSFunctionalClass(continued)RuralUrbanOPAMinArtMajColMinColLocalIn!OEFOPAMinArtColi02060708091112 131617155,435122,547125,73917,85778,9895,6330123,63966,43458,949189,639114,55661,3398,34070,83800000239,410318,151362,39521,125178,79242,725045,25047,75015,622332,076229,872384,22738,685140,771429,06091,882967,723 961,458316,128135,578137,78552,0864,83767,64700109,0567,31627,2840108,85894,7784.95497,60200000134,036105,311109,52711,981114,81200000090,89919,01599027,64300000051,24695,2441,24937,7980000019,63581,52827,8932,06038,17900000232,264172,680126,38522,686108,1070060,43813,6952,61595,61177,59461,7711,59473,7210045,04742,93715,088178,34292,685215,06322,61580,406414,41634,302722,406883,910271,551174,232516,292193,52734,414135,4932,152,11830,9981,375,4951,324,490569.442188,821168,80551,5988,698111,7910090,57072435,43791,541483,061383,09417,962192,436714,65401,039,652929,556325,492127,66350,81041,47621259,4040000013,00164,60357,9437,55630,84900000188,973136,329135,21718,049149,91000000072,42268,9365,69444,42400000353,48796,372228,98616,719131,70200104,316117,25553,17519,536206,861391,2926,001198,626591,9350793,336416,238245,329183,6370102,40411,35955,3340068,70615,47817,397165,553114,456330,18915,081205,694132,1830409,601257,84098,92359,52029,17943,8795,21529,2480045,84912,28318,023229,31145,29182,90019,80788,8310041,83737,84421,099103,809141,017110,28516,63883,1550000079,038100,57090,6753,752121,705D049,3052,14210,728150,71194,44962,7394,12998,0550043,9779,6905,487255,057122,080259,02715,445158,48724,0000141,712 183,67728,795510,95189,279337,90516,332446,2172,957,95402,613,6061,948,353857,470257,82080,34234D,05524,057184,327109,2220286,399151,900117,398186,991126,032349,75929,674167,599715,954294,8011,842,413 1,456,383515,76797,983290,191188,7717,414153,0770000013,115,332 14,268,59315,934,7371,329,83611,857,58054,605,5073,095,00956,849,19344,391,04023,369,222G-15CountyLocalTotal1945,6181,002,4280444,71224,4521,847,201369,0134,650,44931,995573,5850686,3160741,3930135,8470354,4820172,42015,977754,84725,100438,463338,8383,638,805584,3267,254,11632,144688,589375,9745,637,3230279,5650262,3730683,0420191,47562,2001,164,212229,9683,459,52621,228647,344146,0692,211,07422,264265,46019,639586,5581,974992,88518,002594,58613,684610,83472,0861,577,9591,350,54312,083,239102,7452,110,116755,7376,816,28201,314,39323,487,734290,912,439CountyAdamsAlexanderBondBooneBrownBureauCalhounCarrollCassChampaignChristianClarkClayClintonColesCook.CrawfordCumberlandDeKalbDeWittDouglasDuPageEdgarEdwardsEffinghamFayetteFordFranklinFultonGallatinGreeneGrundyHamiltonHancockTableG-6:AverageSummerWeekdayVehicleMilesofTravel(ASWVMT)byCountyandHPMSFunctionalClassRuralUrbanlntOPAMinArtMajColMinColLocallntOEFOPAMinArtColiLocal010206070809111213161719130,915153,699260,446186,34621,322135,89300157,166235,243179,19685,52045,35894,298104,65164,8303,92455,105000000499,443688112,775107,55815,24073,0950022,53030,8419,71212,509474,10368,419271,677200,96421,598170,17285,0270106,20896,24122,72753,505066,45223,47144,2642,70037,580000000723,96547,037198,652217,92231,594157,18743,778070,75075,26717,07240,524032,4454,52551,0677,47123,634000000092,193174,68481,3753,921111,618000000024,797139,41151,4545,77955,8860026,05635,6625,93412,4761,280,71487,996379,607514,95120,439295,254569,8060632,303718,565317,803393,4780103,773268,606147,1406,843142,21500148,36161,D4341,73251,090654,08397,60945,724173,56315,136155,4120000004,744170,83823,01686,5873,174110,7030021,33040,08813,547 13,828182,829206,767254,125269,60634,090156,8540018,7639,04010,9456,610325,47231,718182,108193,6664,466121,01858,4330365,120183,51897,56577,97800000033,321,6091,809,41022,521,95119,627,25014.313,09110,369,490088,67699,D48103,9446,634125,4330047,44529,30816,20319,825612,3820136,737108,0151,93060,623000000311,721123,076392,200311,00142,426280,62748,2540245,498240,79373,156149,950105,030171,437116,00953,62497868,00209,49042,04412,63311,29012,120321,581125,805167,177110,12411,632125,8180000000000007,674,892206,1277,569,5175,332,6711,984,6372,656,9060145,173122,88563,8026,62980,6580067,26525,25714,10720,731014,292116,46938,16096853,213000000844,78259,212187,679262,52513,260133,967162,3480161,49288,89237,44148,365640,03892,51060,395137,25214,342139,03770,739048,73440,1938,45612,908103,44873,067137,70476,2923,076110,119000000422,5090356,662149,632983154,599200,4870123,55276,16734,12763,1710198,169334,738135,5571,976129,7900077,12634,55132,86635,209086,44055,66854,4367,70951,6620000000131,806106,53060,69610,91459,348000000973,983126,22029,218289,09625,374139,963119,555092,63475,12714,39832,44200138,38936,8523,29583,4040000000156,305203,00398,4201,658166,001000000-G-16CountyTotal1,545,746368,166884,3911,570,641174,4681,623,747119,142463,791357,4545,210,915970,8021,141,528487,8551,149,6301,641,062101,962,801536,516919,6872,218,701602,659862,13625,424,751546,508223,1021,999,9621,264,604503,7051,581,890979,982255,916369,2941,918,008261,940625,387CountyHardinHendersonHenryIroquoisJacksonJasperJeffersonJerseyJoDaviessJohnsonKaneKankakeeKendallKnoxLakeLaSalleLawrenceLeeLivingstonLoganMcDonoughMcHenryMcleanMaconMacoupinMadisonMarionMarshallMasonMassacMenardMercerMonroeMontQomeryTableG-6:AverageSummerWeekdayVehicleMilesofTravel(ASWVMT)byCountyandHPMSFunctionalClass(continued)RuralUrbanlntOPAMinArtMajColMinColLocalIn!OEFOPAMinArtColiLocal0102060708091112 131617190092,7349,1715,72130,0920000000118,769118,77455,19833465,964000000833,9200281,432374,0028,536171,648108,447096,11489,66624,00692,070596,492255,236126,372247,9476,598200,9400044,9366,45810,43611,4970179,137164,182 167,947II,153108,41500446,064185,31392,711116,77400220,33266,3745,352105,5470000001,034,44318,761184,486212,78916,951169,270110,2900173,43291,44644,96550,2740265,t4t39,D42124,382tt.73964,9t20056,64915.014t5,91919,5790296,01547,12992,54613.933t37,9900063,2334,8343,3766,549430,84950,651118,34969,2391,63560,639000000765,084705,609101,769544,829124,390253,846988,6221874672,693,4841,949,950673,8891,138,676239,614245,825208,054349,65860,936215,918373.3190469,246263,75214t,249200,1920373,430158.944355,000882219,03100351,333122,40348,066122,337447,6010197,970244,85215,966t49,75561,81580,06323,837291,75372,53493,8500000002,904,0263t4,0026,2t4,4484,912,8981,115,268t,905,1581,229,90985,778527,348555,75812,4343t4,212373,8t8043t,713255,204119,533t78,2650215,54624,778152,6708,771t05,388000000797,077166,956209,245183,35223,294t25,6033,6680t33,88057,02621,94534,009758,98520t,110270,475228,9684.700t98,84431.888054,71027,61134,93232,953900,7t3110,32377,937153,21712,927t04,3750063.72877,12325,99044,0450209,223tt9,55994,9453,217t23,9540099,48055,02847,0t140,990426,492735,5750243,29182,890t91,181002,024,363862,370710,266851,5161,798,035278,686172,734503,3859,1t5260,040650,56141,5356.50,065714,848232,771297,978288,355240,25675,861163,44610,213148,601t71,37568,621838,530580,t92207,977212,224310,65496,821384,791254,87832,036249,3470028,9698,32719,47216,5881,090,3t1163,095388,0122t4,24337,620212,9911,625,628121,1222,t12,625985,372543,977783,023439,90820t,51047,18221t,97012,40315t,78915,tt90186,27562,25064,15354,875239,22074,59814t,62481,29710,31172,634000000064,518108,548ttl,60610,080111,789000000222,49403t,422170,28410,13668,59850,006059,75428,85020,01t25,05400150,78277,2789,93055,230000000077,747110,835t26,2279,40994,5450000000t88,0488t,15977,3215,04876,255189,59551,872183,69666,19419,02366,833775,759140,t92t45,292212,2t420,403170,6687,802039,809351,34719,13021,510G-17CountyTotal137.718359,0392,079,8411,506,9111,471,697397,6062,t07,107612,377665,605731,36210,t27,6162,767,7631,751,4251,679,99617,365,8004,083,973507,t53t,756,0551,845,1761,570,377793,4066,127,9445,609,7533,005,6521,401,8828,278,0201,447,433619,685406,540686,609293,2t94t8,7631,005,0441,587,912CountyMorganMoultrieOglePeoriaPerryPiattPikePopePulaskiPutnamRandolphRichlandRockIslandSt.ClairSalineSangamonSchuylerScottShelbyStarkStephensonTazewellUnionVermilionWabashWarrenWashingtonWayneWhiteWhitesideWillWilliamsonWinnebagoWoodfordTotalTableG-6:AverageSummerWeekdayVehicleMilesofTravel(ASWVMT)byCountyandHPMSFunctionalClass(continued)RuralUrbanlntOPAMinArtMajColMinColLocallntOEFOPAMinArtColiLocal01020607OB09111213 161719219,731168,388132,759136,21819,34685,5716,0830135,17972,63464,45149,8760205,442124,10366,4519,03576,741000000601,167259,361344,664 392,59422,885193,69146,143049,47352,20617,08026,735424,614359,749249,028416,24541,908152,502463,385100,4581,058,0441,051,194345,633403,4540146,876 149,26756,4275,24073,28500119,2347,99929,83034,981414,3350117,930102,6765,367105,735000000289,641145,205114,087 118,65412,980124,3800000000098,47420,6001,07329,947000000184,150055,517103,1811,35340,9480000003,40621,27188,32230,2172,23141,3610000000251,619187,070136,91724,576117,1160066,07914,9732,86017,4680103,57884,06166,9191,72779,8640049,25146,94416,49727,442418,858193,204100,409232,98524,49987,106447,56937,503789,830966,408296,895370,463177,986188,751559.316209,65437,282146,7842,324,28733,8911,503,8741,448,109622,589 638,8630204,556182,87355,8989,423121,1060099,02479238,74435,1441,181,45299,169523,316415,01819,458208,473771,82701,136,6861,016,315355,872411,0650138,30155,04444,93223064,35400000096,38014,08469,98762,7718,18633,41900000059,475204,721147,690146,48519,553162,4030000000078,45774,6816,16848,1260000000382,945104,403248,06818,112142,67700114,053 128,19958,13868,005392,83921,164224,099423,8996,501215,178639,2900867,381455,087268,227251,431187,262 198,9400110,93812,30659,9460075,11916,92219,02023,209365,678179,349 123,994357,70516,338222,835142,7580447,830281,905108,156159,702064,48031,61147,5365,65031,6850050,12913,429 19,70524,3420248,42049,06589,80821,45796,2340045,74241,37623,06821,472584,249112,459152,768119,47518,02490,084000002,159238,35085,625108,95098,2324,064131,8470053,9072,34111,72919,682139,425163,270102,32067,9674,473106,2270048,08210,5945,99914,961346,177276,312132,253280,61316,732171,69525,9200154,938200,82131,48278,8141,040,546553,53196,719366,06417,693483,4023,194,59002,857,5422,130,200937,5001,476,593496,877279,30587,037368,39326,062199,688 117,9600313,130166,077128,355112,335408,938202,573136,535378,90532,147181,565773,231322,3162,014,3711,592,312563,905826,273628,886106,148314.373204,5028,032165,83300000031,183,43514,208,2761M57,6431,7262,6321,1:110,65512,845,71158,973,9483,383,87762,155,11748,534,20425,550,349 25,679,923G-18CountyTotal1,090,236481,7722,006,0005,066,215623,140746,043804,948150,093385,148186,809818,678476,2833,965,7307,891,388747,5606,138,651302,862284,827740,326207,4311,264,5993,765,098703,6622,406,251288,566636,6421,079,218754,728663,3181,715,75613,154,3792,295,2187,433,0711,427,7751316,675,771!TableG-7:MonthlyVMTbyCounty(millionvehiclemiles)CountyJANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECAdams39.01636.08442.23343.20845.30645.49146.08247.18044.21344.26142.28143.097Alexander9.1198.4379.97410.19310.76310.86911.21311.54310.66810.69810.22210.245Bond21.79420.29024.07824.31825.86126.213 27.12327.69325.24625.44124.28724.359Boone39.21036.39342.85243.48845.92946.35847.58448.71944.95445.22743.19643.521Brown4.3324.0014.7224.8425.1005.144 5.2975.4645.0725.0794.8544.869Bureau40.25337.42544.25344.78747.48048.03549.52650.63146.40746.734 44.62444.844Calhoun2.9582.7323.2243.3063.483 3.513 3.6173.7313.4643.468 3.3153.325Carroll11.51710.63612.55312.87213.56013.67514.082 14.52613.48413.50312.90512.943Cass8.9678.2779.7209.96710.46510.52410.73711.04010.31610.3249.8659.981Champaign131.967122.451143.058145.066152.472153.348155.791159.127148.052149.022142.327144.589Christian24.44922.563 26.44627.11828.43628.56729.03929.82127.93827.95026.70727.113Clark28.01626.09131.02631.32833.36333.857 35.15735.93632.67232.935 31.44331.429Clay12.21211.275 13.25513.58814.27914.369 14.68815.10914.09614.10913.48213.618Clinton28.50726.38531.17831.83433.61633.94534.98035.97033.23733.340 31.85331.967Coles41.49638.42044.95145.78148.07948.31748.9450.04346.71746.88144.77545.620Cook2,661.2802,469.2192,833.6712,866.3182,980.2912,976.2592,972.1363,034.2732,871.2692,899.519 2,770.3362,842.169Crawford13.45012.41614.58514.95515.70615.798 16.12716.58615.49115.50314.81414.980Cumberland22.52821.00925.01425.19426.87827.30328.39028.97626.25526.49525.29125.265DeKalb55.81551.63560.56561.813 64.96965.354 66.54268.16863.54663.72060.86961.751DeWitt15.01113.89316.38216.72017.63317.78518.25218.73517.35517.40716.62916.756Douglas21.24619.72823.39923.75425.20025.51826.42227.09224.81224.95323.83223.849DuPage663.331615.144706.269715.147743.502742.339740.656755.886715.887722.302690.099708.900Edgar13.71512.659 14.86415.24116.00016.09016.40916.87015.76815.77915.07715.260Edwards5.5405.1166.0386.1926.5226.578 6.774 6.9876.4866.4956.2076.226Effingham49.86846.39154.66055.22958.45459.07960.76262.09757.02457.50254.90955.244Fayette31.31329.15834.49234.80936.95437.42438.67239.51736.09736.415 34.76934.863Ford12.45611.53713.65413.92414.72514.883 15.37315.80514.56314.618 13.96513.989Franklin39.71536.89343.27943.82846.217 46.612 47.77648.93045.20845.567 43.52543.842Fulton24.53922.65226.62627.30228.68328.86129.49630.34628.32228.34527.08627.361Gallatin6.3555.8686.9267.1027.4827.5467.7708.0157.4407.451 7.1217.142Greene9.1708.4699.99510.24910.79710.88911.21311.56610.73710.75210.27510.306Grundy47.564 44.29352.35452.81856.05156.74758.57959.83654.69055.18052.68552.875Hamilton6.5046.0077.0907.2707.6587.723 7.9538.2047.6167.626 7.2887.310Hancock15.53014.342 16.92717.35718.28418.44018.98919.58718.18318.20817.40117.453G-19CountyJANHardin3.419Henderson8.916Henry51.735Iroquois37.201Jackson37.496Jasper9.873Jefferson52.379Jersey15.328JoDaviess16.617Johnson17.943Kane260.151Kankakee70.403Kendall44.221Knox42.223Lake452.089LaSalle102.486Lawrence12.594Lee43.488Livingston45.655Logan8.778McDonough19.976McHenry156.985McLean141.593Macon76.914Macoupin34.738Madison212.673Marion36.159Marshall15.267Mason10.095Massac17.166Menard7.281Mercer10.399Monroe25.690Montoomerv39.182TableG-7:MonthlyVMTbyCounty(millionvehiclemiles)(continued)FEBMARAPRMAYJUNJULAUGSEPOCT3.1583.7273.8224.0264.0604.1814.3134.0044.0098.2339.7189.96510.49710.58710.90211.24510.43910.45348.08956.74457.43760.80561.46563.26864.70459.43359.86534.55140.94641.54344.06044.599 46.10247.22243.27143.52334.58540.30741.329 43.17643.23243.46844.469 41.98841.9749.11810.76211.035 11.62411.72412.07312.45311.56011.57648.74957.55658.11861.60862.31764.16265.50160.01060.50614.150 16.63517.058 17.92318.03618.43918.972 17.70217.71815.34118.05918.51819.47419.61120.09720.69619.278 19.29816.714 19.88020.06521.37521.69522.53423.02720.92321.095240.615279.054284.398296.876297.068297.744303.788286.698287.67465.211 75.96177.27180.96281.28682.39284.38078.94779.38140.80547.76848.98051.32051.519 52.24753.61050.30950.32339.14245.94246.70249.18549.53250.49151.60847.90448.127418.082481.239490.020509.147507.774504.210513.638488.700490.76495.175111.732113.215119.411120.412123.239126.055 116.517117.34111.63013.72714.076 14.82714.95415.39915.88414.74514.76540.41747.83148.44851.37051.97153.565 54.74450.18850.50542.42350.21150.88453.94854.59156.36257.68952.87853.21936.10242.80143.21845.93446.53548.06149.03044.74545.08818.43621.61122.160 23.23923.348 23.73924.38122.837 22.848144.894168.448172.402 179.939179.958179.945183.452 173.594173.594131.557153.971155.776164.071165.248168.416171.941159.290160.53271.10782.66484.34488.14188.256 88.59290.39685.20085.40532.18038.04738.78340.99441.41642.69643.85340.44440.597197.270228.551231.625242.178242.710244.403249.494234.128235.89633.528 39.48740.14442.37042.73343.74044.73541.37341.55914.17916.82017.06918.11318.34418.99719.47517.82817.9329.32311.00311.283 11.86611.98712.34412.73311.82011.83615.943 18.75619.00820.07420.26120.78621.26919.617 19.7526.724 7.9368.1388.5728.6468.9039.1838.5258.5379.60311.33411.62212.24312.348 12.71513.115 12.17512.19223.79027.62228.10029.37929.463 29.81630.57828.69328.87136.44143.20643.717 46.42947.03048.63149.72245.43845.756G-20NOVDEC3.8323.8439.99010.02057.167 57.49241.56441.66940.09941.12911.06311.09657.76958.12516.93117.09718.44118.58120.13920.128274.784282.35175.83977.06848.08248.92245.96346.615468.802484.922112.070113.14614.11114.15348.22348.50150.82251.00043.04243.25021.83122.159165.800171.041153.305155.35281.57583.78038.78138.925225.334230.22339.68940.12817.12617.13711.312 11.34518.86219.0138.158 8.18311.65211.68627.58828.02943.68843.813CountyJANMorgan27.335Moultrie11.963Ogle49.746Peoria129.656Perry15.691Piatt18.316Pike19.842Pope3.727Pulaski9.471Putnam4.637Randolph20.445Richland11.985RockIsland101.743St.Clair204.280Saline18.760Sangamon156.338Schuyler7.521Scott7.024Shelby18.354Stark5.151Stephenson31.820Tazewell96.372Union17.530Vermilion60.917Wabash7.287Warren15.958Washington26.506Wayne18.720White16.491Whiteside42.998Will339.453Williamson57.741Winnebago191.587Woodford35.137TableG-7:MonthlyVMTbyCounty(millionvehiclemiles)(continued)FEBMARAPRMAYJUNJULAUGSEPOCT25.30429.74030.32431.92532.14832.79933.58031.21231.30611.04813.04013.37114.08514.20614.62815.08914.00714.02646.15454.54555.43058.64759.28061.12262.67957.67157.980119.938139.364142.038148.455148.704149.526152.707143.757144.26314.48116.97417.40518.25218.337 18.64219.14517.93417.94317.05320.27420.48121.80522.12322.967 23.48221.36321.53018.42121.84422.18423.52923.82224.66125.292 23.17423.3033.4424.0624.165 4.3884.4254.5574.7004.3644.3708.80810.46110.59011.25711.412 11.83412.11411.05211.1294.2835.0575.1835.4615.5095.6745.8515.4285.43718.87522.21622.78023.95324.12024.71125.44523.70623.73011.06112.97013.29913.94914.01614.25814.64613.71413.72194.177109.279111.213116.199116.357116.839119.212 112.252112.741189.543218.478221.153230.567230.737231.893237.148223.308225.41617.31620.33120.84821.88722.00922.44723.07821.57021.584144.973 168.845171.342179.671180.405182.494186.337174.118175.2006.9458.1978.4058.8548.9309.1969.4858.8058.8176.519 7.7287.8538.3258.4278.7218.9478.2058.24816.97020.05020.51521.64421.848 22.52423.20421.47821.5274.7575.6145.7576.0646.1166.2986.4966.0316.03929.36734.43635.31037.03837.21737.86438.895 36.41736.43689.325103.69915.285110.150110.456111.484113.964 106.869107.56816.245 19.15819.50520.59320.77921.31321.83220.18320.26156.39365.91367.14670.46570.79671.79173.42568.60268.8626.7247.8718.0708.4558.4888.6068.8308.2878.28914.73117.30617.74518.63618.74719.14019.685 18.38518.39924.67329.32729.63831.54331.99833.20933.96130.91431.15117.36320.52420.86822.07722.30922.97023.53521.67121.77315.27218.02618.38019.40519.58520.13120.66019.09919.16539.81346.79847.69850.22950.59351.665 52.91449.14649.312314.896 363.796368.491384.645385.130387.145395.439371.913375.03153.50762.75263.836 67.178 67.628 68.93970.54165.55565.856177.147205.078209.064217.951217.874217.733222.025210.078210.748NOV29.90313.40555.380137.80317.14420.55622.2564.17610.6265.19622.67713.110107.687215.38020.625167.3388.4277.87820.5705.77134.815102.75919.35265.7777.92017.58129.74120.79518.30847.102358.27962.903201.30532.659 38.76939.28741.73342.29043.83044.89541.01541.281,__:39.421G-21DEC30.30213.44555.588141.19817.40320.54922.2744.18810.6285.21122.85413.301110.459219.84220.874170.5548.4527.88520.6225.78935.317104.78919.52466.9478.06017.76629.73620.91218.42647.682366.15963.749207.34839.434TableG-8:AircraftOperationsAnnualOperationsSummerWeekdayOperationsAirportCommAirGenavMilitaryTotalCommAirGenavMilitaryTotalTaxiTaxiAdamsCountyBaldwinField0019,000019,0000060060AlexanderCountyCairoRegionalAirport009,00009,0000028028BondCountyGreenvilleAirport0014,000014,0000044044BooneCountyP.QplarGrove0066,000066,000002080208BrownCountyMt.SterlingAirport003,00003,00000909CarrollCountyStranskyMemorialAirport004,00004,0000013013CassCountyGreaterBeardstownAirport003,00003,00000909ChampaignCountyNationalAviationCenter0020,000020,0000063063Uof1/Wi!lardAirport16914,042113,596220128,0270392311272HomerAirport009,00009,0000028028FrascaField0014,000014,0000044044ChristianCountyTaylorvilleAirport0014,000014,0000044044ClarkCountyCaseyMunicipalAirport008,00008,0000025025ClayCountyFloraAirport0010,000010,0000032032ColesCountyColesCountyMemorialAirport0035,000035,000001100110CookCountyO'HareAirport624,564273,66824,345210922,7871,8227456812,636MidwayAirport167,93780,92253,8071,171303,8374862281643881MeigsField01,19130,75610332,050031040108Pal-Waukee08,386156,14436164,5660214890510Lansing0054,000054,000001700170CrawfordCountyRobinsonAirport009,00009,0000028028DeKalbCountyAirport0037,000037,000001170117HinckleyAirport0048,000048,000001510151DouglasCountyTuscolaAirport009,00009,0000028028G-22TableG-8:AircraftOperations(continued)AnnualOperationsSummerWeekdayOperationsAirportCommAirGenavMilitaryTotalCommAirGenavMilitaryTotalTaxiTaxiDuPageCountyDuPageCountyAirport14,772173,269261178,3030145941608SchaumbumReaiona!Airoort0066,000066,000002080208EdgarCountyEdgarCountyAirport007,000000022022EffinghamCountyEffinghamCountyMemorialAirport0025,000025,0000079079FayetteCountyVandaliaAirport009,00009,0000028028FordCountyPaxtonAirport004,00004,0000013013FranklinCountyBentonAirport008,00008,0000025025FultonCountyIngersollAirport0019,000019,0000060060GrundyCountyDwightAirport002,00002,00000606MorrisMuniAirport0042,000042,000001320132HancockCountyCarthage-MartinAirport002,00002,00000606HenryCountyKewaneeMunicipalAirport0014,000014,0000044044GenAirPark005,00005,0000016016JacksonCountySouthernIllinoisAirport201,831126,659134128,644052761282JeffersonCountyM1.VernonAirport(Outland)0016,000016,0000050050JoDaviessCountyAppleCanyonLakeAirport002,00002,00000606KaneCountyAuroraMunicipalAirport0453131,378937132,768014202423KankakeeCountyKankakeeAirport0011,000011,0000035035GreaterKankakee0050,000050,000001580158KnoxCountyGalesburgMunicipalAirport0014,000014,0000044044Airport0000000000LakeCountyCampbell'sAirport0030,000030,0000095095WaukeQanReQiona!Airport03,75195.488915100,1540133304348G-23TableG-8:AircraftOperations(continued)AnnualOperationsSummerWeekdayOperationsAirportCommAirGenavMilitaryTotalCommAirGenavMilitaryTotalTaxiTaxiLaSalleCounty!l!inoisValleyRegionalAirport0021,000021,ODD0066066CushingField007,00007,0000022022SkyDiveChicagoAirport0010,000010,0000032032Grandpa'sFarmAirport008,00008,0000025025EarlviHeAirport002,00002,00000606LawrenceCountyVincennesAirport0035,000035,000001100110O'NealAirport0013,000013,0000041041Mt.CarmelAirport0011,000011,0000035035LeeCountyBressonAirport005,00005,0000016016WalqreenAirport0040,000040,000001260126LivingstonCountyPontlacAirport0012,000012,0000038038LoganCountyLoqanCountyAirport007,00007,0000022022McDonoughCountySmithAirport008,00008,0000025025MacombMunicipal009,00009,0000028028McHenryCountyLakeintheHillsAirport0034,000034,000001070107LakeAirport0044,000044,000001390139DacyAirport0020,000020,0000063063McLeanCountyCentralIllinoisRegional2,92012,99441,10347257,4897371512198MaconCountyDecaturAi!_port112,55346,5166,45155,5310715419180MacoupinCountyZelmerMemorialAirpark002,00002,00000606MadisonCountyShafer-Metro-EastAirport0014,000014,0000044044Highland-WinetAirport006,00006,0000019019St.LouisReQionalAirport431,15775,8353,71080,7450422612242MarionCountyCentraliaMunicipalAirport0060,000060,000001890189LeckroneField003,00003,00000909MarshallCountyILacon-Marshal!County0019,0Jl0--019,0()_00060o_j60G-24TableG-8:AircraftOperations(continued)AnnualOperationsSummerWeekdavOoerationsAirportCommAirGenavMilitaryTotalCommAirGenavMilitaryTotalTaxiTaxiMasonCountyHavanaRegionalAirport001,00001,00000303MassacCountyMetropolisAirport0013,000013,0000041041MercerCountyMercerCounJyAirport004,00004,0000013013MonroeCountySackmanField0012,000012,0000038038MontgomeryCountyLitchfieldMunicipalAirport0010,000010,00000320iHillsboroAirport003,00003,0000090MorganCountyJacksonvilleAl£pprt0012,000012,0000038038OgleCountyWestGroveAirport0000000000BarnettMemorialAirport006,00006,0000'019019Roche!leMunicipalAirport005,00005,0000016016PeoriaCountyMt.HawleyAuxiliaryAirport0021,000021,0000066066GreaterPeoriaReqionalAirport4,46423,53937,18811,01576,206126012731231PerryCountyPinckneyville-DuQuoinAirport008,00008,0000025025PiattCountyPiattCounty Airport006,00006,0000019019PikeCountyPittsfieldPenstoneAirport007,00007,0000022022RandolphCountySpartaCommunityAirport008,00008,0000025025RichlandCountyOlney-NobleAirport006,00006,0000019019RockIslandCountyQuadCitvAirport7,79020,01640,437155469,79720611273211St.ClairCpuntySt.LouisDowntownAirport07,216157,773357165,3460204041425MidAmericaAirport..........ScottAFB59554,39127,98532,49055384896SalineCountyHarrisburg-Raleigh0012,000012,0000038038G-25TableG-8:AircraftOperations(continued)AnnualOperationsSummerWeekdayOperationsAirportCommAirGenavMilitaryTotalCommAirGenavMilitaryTotalTaxiTaxiSangamonCountyCapitalAirport6013,86151,7685,36871,05703916118218HolmesAirport001,00001,ODD00303ShelbyCountyShelbyCountyAirport0015,000015,0000047047StephensonCountyAlbertusAirport0020,000020,0000063063DemickAirport004,00004,0000013013TazewellCountyMitchellAirport006,00006,0000019019PekinAirport009,00009,0000028028VermilionCountyVermilionCountyAirport001,00001,0000032032WarrenCountyMonmouthAirport005,00005,0000016016WayneCountyFairfieldMunicipalAirport008,00008,0000025025WhiteCountyCarmiAirport007,00007,0000022022WhitesideCountyWhitesideCounty Airport0021,000021,0000066066WillCountyJolietParkDistrictAirport0025,000025,0000079079Glow"International"Airport0050,000050,000001580158SangerAirport0013,000013,0000041041HowellAirport0030,000030,0000095095FrankfortAirport0022,000022,0000069069LewisUniversityAirport00104,0000104,000003280328Wll!iamsonCountyWi!llamsonCounty Airport165,25146,0239851,3880151270142WinnebagoCountyCottonwoodAirport009,00009,0000028028GreaterRockfordAirport11,4574,08365,3214,46485,325301220211255StateTotals819,511479,7413,056,29765,4614,430,5102,3841,3289,417159•MidAmericaAirportiscountedwithScottAFBwithwhichitisco-locatedG-26TableG-9:AnimalHusbandryPopulationCountyBeefDairyChickensGoatsHogsHorsesSheepTurkeysCattleCattleAdams43,6253758,33434995,6001,7341,8006Alexander1,9006000412501402100Bond8,20070028,6379711,4005925000Boone7,0002,70048,0086315,2008783250Brown12,12537548,00813224,5003416800Bureau18,70060066,43214077,2001,2867253Calhoun4,50070026,743976,8003495000Carroll47,700-4,00037,72914040,7008847250Cass7,50070048,0089782,2002235000Champaign6,61548548,0087722,6001,4784000Christian4,1007003,2699729,4006945009Clark4,2857156,0277344,9009963750Clay7,58571548,0087341,2001'12937517Clinton32,60018,80048,00841170,9006092100Coles4,88571548,008735,0001,2403750Cook00001402,56100Crawford4,78571517,3587317,600819375115,404Cumberland9,58571559,0057343,4006423750DeKalb32,80050048,940329208,0001,3011,7000DeWitt2,59021015,4359320,7003304800Douglas2,78571548,008738,5003,6363750DuPage005,234014059400Edgar7,1857155,23473112,7007643750Edwards4,64016049,4771618,600347850Effingham20,2004,90029,6487386,4001,574375378Fayette14,4857156,5357310,0001,20737514Ford3,21548548,0087730,1003174000Franklin6,84016072,0531634,2001,0188527,617Fulton27,52537566,52313274,7001,3656800Gallatin2,9401600167,900142850Greene17,5007005,03797125,4001,05550014Grundy1,50050016,948637,200352 3250Hamilton3,14016001624,900537850Hancock36,12537595,580132100,8002,2716800G-27TableG-9:AnimalHusbandryPopulation(continued)CountyBeefDairyChickensGoatsHogsHorsesSheepTurkeysCattleCattleHardin5,34016048,0081612,800386850Henderson22,02537514,49213223,8007236800Henry48,10060033,055755168,1001,7733,9000Iroquois21,91548548,0087733,2009434000Jackson13,80060029,971416,1001,5112100Jasper9,18571526,47973111,8006533750Jefferson15,74016041,696169,8001,2908511,074Jersey12,10070048,008974,0004895000JoDaviess63,9007,50030,68114018,0001,83972515Johnson12,80060078,103417,9001,21821038Kane9,100500129,1466330,2003,4983250Kankakee8,81548585,3397718,6009804000Kendall1,0005004,0186329,0009873259Knox29,02537555,117132113,6009526800Lake050023,846634203,6943258LaSalle17,90050030,27129017,2001,3711,50012Lawrence1,88571517,9047332,200476375263,640Lee13,40060048,00814054,6005487250Livingston8,41548548,00877123,20075840062,876Logan2,0902108,2749383,2003544800McDonough17,82537521'92431022,7001,2101,6000McHenry19,3005,600175,4106322,3005,10332557Mclean12,99021026,17940793,5001,3672,1000Macon3,49021048,008937,8005374800Macoupin22,30070045,0569772,6001,2905000Madison13,50070060,2199730,3002,25650032Marion7,2857152,036710,5001,448359Marshall6,19021048,0089311,3003524800Mason9,39021053,5899311'1005574800Massac8,04016048,0081611,600790850Menard5,09021052,9169335,0007274800Mercer20,50060026,81929066,1001,0131,50049Monroe8,70060048,0084141'1007212100Montgomery9,90070098,4129763,2007975000G-28TableG-9:AnimalHusbandryPopulation(continued)CountyBeefDairyChickensGoatsHogsHorsesSheepTurkeysCattleCattleMorgan18,90070048,0089745,5004695005Moultrie3,285715117,236739,7002,3343750Ogle38,70060048,00842648,9001,7932,2000Peoria9,6003,00018,9409320,6002,0024800Perry10,60060068,258415,9005222100Piatt2,2154856,010778,1003014000Pike2,63070068,96997123,2001'1755005Pope8,04016048,008162,300640850Pulaski4,1006000412,7003252100Putnam1,3006006,5121406,2003107250Randolph19,900600101,9854112,3009082107Richland5,28571548,0087358,000279375168,255RockIsland11,000600127,17114029,9001,5597250St.Clair7,00060070,9344130,8001,40821027Saline6,14016048,0081619,400688850Sangamon10,1DO7007,2479751,2001,82550020Schuyler11,3253757,92313244,4007126800Scott3,00070009711,8003785000Shelby14,1DO3,00048,0087354,1DO1,42637529Stark3,1902105,2349317,9005594800Stephenson42,20014,1DO21,58138785,7001,8432,00035Tazewell10,29021030,3469370,4001,2074800Union12,90060048,008412501,0352100Vermilion6,41548548,0087716,20084940014Wabash3,24016048,008163,800166850Warren20,02537561,53644551,9009262,3000Washington22,7007,60048,0084160,6002882100Wayne15,04016062,7611662,0001,96585256,432White4,94016026,9501614,7009308545Whiteside31,60060054,68114061,9001,0637250Will5,20050032,9496318,2002,67332512Williamson7,60060024,0634112,2001,7322108Winnebago17,90060030,28914016,7002,07772575Woodford7,9902109,9929376,5004834800G-29