Note: EPA no longer updates this information,
but it may be useful as a reference or resource.
EPA-600/R-94-139a
August 1994
ECONOMIC GROWTH ANALYSIS SYSTEM:
Reference Manual
Version 2.0
FINAL REPORT
Prepared by:
Terri Young
Karen Nanke
Randy Randolph
Daniel Bowman
TRC ENVIRONMENTAL CORPORATION
6320 Quadrangle Drive, Suite 100
Chapel Hill, North Carolina 27514
EPA Contract 68-D2-0181
Work Assignment 1/012
Project Officer: Sue Kimbrough
U.S. Environmental Protection Agency
Air and Energy Engineering Research Laboratory
Research Triangle Park, NC 27711
Prepared for:
UJJ. Environmental Protection Agency
Office of Air Quality Planning and Standards
Research Triangle Park, NC 27711
US. Environmental Protection Agency
Office of Research and Development
Washington, DC 20460
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ABSTRACT
This report presents the results of work completed under EPA Contract
No. 68-D2-0181, Work Assignment No. 1/012. The objective of this report was to describe
Version 2.0 of the Economic Growth Analysis System (E-GAS) modeling system. The E-
GAS model will be used to project emissions inventories of volatile organic compounds,
oxides of nitrogen, and carbon monoxide for ozone nonattainment areas and Regional
Oxidation Model (ROM) modeling regions.
This report details the design and development of the E-GAS system, and includes
detailed descriptions of the workings of the E-GAS computer modeling software, and its
relationships with internal modeling software components, like Regional Economic Models,
Inc. (REMI) models, and external software, like ROM, the Aerometric Information Retrieval
System (AIRS), and the Urban Airshed Model (UAM).
1
FOREWORD
The Economic Growth Analysis System (E-GAS) is designed to be an additional tool
in developing projection inventories. Projections by their very nature are somewhat uncertain,
due to their attempt to surmise the future. However, E-GAS does provide more detailed and
accurate growth factors especially for the extreme, severe, serious, and multi-state moderate
ozone nonattainment areas (i.e., areas that under the Clean Air Act Amendments must
use photochemical grid modeling to demonstrate future attainment) than have previously been
available. E-GAS, however, does not purport to be the "last word in growth projections." In
fact, E-GAS will be most effective when local knowledge is used in conjunction with the
model. If state/local air agency users of E-GAS do not agree with E-GAS outputs or believe
their local knowledge is more accurate, then these locally derived factors should be used in
the place of E-GAS as long as these locally derived growth factors can be justified and
documented.
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TABLE OF CONTENTS
Chapter Page
FOREWORD ii
ABSTRACT ii
LIST OF TABLES vii
LIST OF FIGURES viii
LIST OF ACRONYMS ix
ACKNOWLEDGEMENTS xii
1 INTRODUCTION 1-1
1.1 Background 1-1
1.2 Objectives 1-2
1.3 Scope of E-GAS 1-2
1.4 Overview of E-GAS System 1-8
1.4.1 General 1-8
1.4.2 EPA Guidance on Projecting Emissions 1-8
1.4.3 Photochemical Modeling Demonstrations Required By The
CAAA 1-9
1.4.4 Emission Inventory for the Northeast Transport Region 1-10
1.4.5 Design Decisions 1-10
1.4.6 E-GAS Design 1-13
1.5 References 1-22
2 STATUTORY BACKGROUND AND USER REQUIREMENTS FOR USING E-
GAS TO PROJECT EMISSIONS 2-1
2.1 Introduction 2-1
2.2 Potential E-GAS Users 2-2
2.3 Terminology 2-2
2.4 Overview of Reasonable Further Progress Requirements 2-3
2.5 Overview of Attainment Demonstration Requirements 2-5
2.6 Use of E-GAS 2-7
2.7 System Requirements 2-8
2.7.1 Functional Requirements 2-8
2.7.2 Required System Attributes 2-8
2.8 Conclusions 2-9
2.9 References 2-10
3 PROJECTING EMISSION INVENTORIES: EPA GUIDANCE 3-1
3.1 General 3-1
3.2 Point Sources 3-2
3.2.1 EPA Point Source Projection Guidance 3-2
3.2.2 E-GAS Point Source Growth Factors 3-2
111
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TABLE OF CONTENTS
Chapter Page
3.3 Area Sources 3-3
3.3.1 EPA Area Source Projection Guidance 3-3
3.3.2 E-GAS Area Source Growth Factors 3-4
3.3.3 E-GAS Nonroad Growth Factors 3-8
3.4 Mobile Sources 3-9
3.4.1 EPA Guidance on Projection of Mobile Sources 3-9
3.4.2 E-GAS Highway Source Growth Factors 3-12
3.5 EPA Guidance on Projecting Emissions from Utilities 3-12
3.5.1 General 3-12
3.6 References 3-15
4 NATIONAL AND REGIONAL ECONOMIC FORECASTS IN E-GAS 4-1
4.1 National Macroeconomic Models 4-1
4.1.1 Overview 4-1
4.1.2 The Role of National Economic Forecasts in E-GAS 4-2
4.1.3 The Effects of the Choice of National Model on Regional
Forecasts 4-3
4.1.4 National Macroeconomic Forecasts 4-5
4.1.5 Forecasting Records of the Models 4-9
4.1.6 Summary 4-11
4.1.7 Conclusions 4-13
4.2 Regional Economic Models 4-14
4.2.1 Overview 4-14
4.2.2 REMI Models ' 4-15
4.2.3 The Use of REMI Models in E-GAS 4-16
4.3 References 4-18
5 ESTIMATING FUEL CHOICE IN E-GAS 5-1
5.1 Introduction 5-1
5.2 Fuel Consumption Data 5-1
5.2.1 Manufacturing Energy Consumption Survey 5-1
5.2.2 Annual Survey of Manufactures (ASM) 5-2
5.2.3 National Energy Accounts *. 5-2
5.3 Energy Models Reviewed 5-3
5.3.1 NAPAP Model Set 5-3
5.3.2 REMI Model 5-4
5.3.3 PC-Annual Energy Outlook (AEO) Model 5-6
5.3.4 ENERGY2020 . . 5-8
5.4 Options Considered for E-GAS Fuel Choice Module 5-9
5.5 The E-GAS Fuel Choice Module 5-11
IV
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r
TABLE OF CONTENTS
Chapter Page
5.5.1 Modifications Made to CSEMS 5-11
5.5.2 Modifications Made to HOMES 5-12
5.5.3 Modifications Made to DSfRAD 5-13
5.6 References 5-17
6 ESTIMATING ELECTRIC UTILITY GENERATION 6-1
6.1 Introduction 6-1
6.2 SCC and Geographic Coverage 6-2
6.2.1 Applicable SCCs 6-2
6.2.2 NUMOD SCC Coverage 6-3
6.2.3 North American Electric Reliability Council (NERC) Region
Assignments 6-5
6.3 Modeling Strategy 6-6
6.3.1 Review of Generation Data and Selection of Input Variables 6-6
6.3.2 Implications for Model Design 6-10
6.3.3 Traditional Utility Model Inputs and Their Use in NUMOD 6-10
6.4 Pre-processing and Transforming NUMOD Inputs 6-16
6.4.1 State Identifier and Classification Variables 6-16
6.4.2 Explanatory Variables and Data Transformation 6-17
6.5 Reference Parameters and NUMOD Outputs 6-33
6.6 Neural Network Design, Training, and Validation 6-35
6.6.1 Neural Network Training 6-35
6.6.2 Training, Out-of-Sample Test, and Evaluation Results 6-37
6.6.3 Backcast Results 6-38
6.7 References 6-40
7 ESTIMATING PHYSICAL OUTPUT IN E-GAS 7-1
7.1 Physical Output: Definition and Data Sources 7-1
7.2 Forecasting Physical Output 7-10
7.2.1 Forecasting Physical Output Using Employment Data . . 7-10
7.2.2 Forecasting Physical Output Using Value Added Data 7-13
7.3 Physical Output in E-GAS 7-15
7.3.1 Forecasting 7-15
7.3.2 Sources for Which Physical Output Equations Are Developed .... 7-16
7.4 References 7-17
8 METHODOLOGY USED TO FORECAST VEHICLE MILES TRAVELED IN
E-GAS 8-1
8.1 INTRODUCTION 8-1
8.2 TREND-BASED APPROACHES 8-1
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TABLE OF CONTENTS
Chapter
Page
8.2.1 The Highway Performance Monitoring System 8-2
8.2.1.1 HPMS Data Collection 8-2
8.2.1.2 HPMS Analytical Process 8-4
8.3 TRENDS IN VMT INDEXES 8-5
8.4 ECONOMETRIC APPROACHES 8-5
8.5 METHODOLOGY USED IN E-GAS 8-8
8.6 REFERENCES 8-20
9 E-GAS CROSSWALK 9-1
9.1 Overview 9-1
9.2 SICs and SCCs 9-2
9.3 Fossil Fuels 9-3
9.3.1 Residential Fossil Fuels 9-3
9.3.2 Industrial Fossil Fuels 9-4
9.3.3 Commercial Fossil Fuels 9-5
9.3.4 Fossil Fuel Consumption at Utilities 9-5
9.4 VMT Estimates 9-6
9.5 Industry-specific Physical Output 9-7
9.6 Other SCCs 9-7
9.7 CROSSWALK Files 9-9
APPENDIX A DATA USED TO DEVELOP NUMOD A-l
APPENDIX B PARAMETER VALUES BY STATE B-l
APPENDIX C CROSSWALK FILES: BLS AND SCC MATCHES C-l
APPENDIX D EXAMPLE CROSSWALK OUTPUT FILES D-l
APPENDDf E E-GAS OUTPUT FILES E-l
VI
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LIST OF TABLES
Number Page
1-1 Classifications Of and Counties Within Designated Ozone
Nonattainment Areas 1-3
1-2 Summer Weekday Emissions for 1985 By Source Category for
the U.S. Portion of the ROMNET Domain 1-11
1-3 Policy Variables Included in E-GAS 1-17
3-1 EPA Growth Indicators for Projecting Emissions for
Area Source Categories 3-5
3-2 E-GAS Growth Factors for Projecting Area Source Emissions 3-7
3-3 E-GAS Surrogate Indicators for Projecting Growth in Nonroad Sources 3-9
3-4 Electric Utility NO^ Projections Summary 3-13
4-1 Comparison of BLS and WEFA Aggregate, Employment Forecasts
for the United States, 1995 4-4
4-2 Comparison of BLS and WEFA Aggregate, Employment Forecasts
for the Pittsburgh Region, 1995 4-5
4-3 Summary of Economic Forecasts Surveyed 4-12
6-1 Major Electric Utility SCCs 6-2
6-2 Electric Utility SCCs 6-3
6-3 NUMOD SCC Coverage 6-4
6-4 State Power Pool Membership 6-5
6-5 Uses for NUMOD Input Variables 6-7
6-6 Correlation Coefficients for Generation and Explanatory Variables 6-9
6-7 Coal Generation Codes 6-17
6-8 Gas Penetration Codes 6-17
6-9 1990 SEDS Electricity Consumption by State 6-19
6-10 State to E-GAS Area Allocation Factors 6-21
6-11 E-GAS Area to State Allocation Factors 6-27
6-12 Stage 1 Neural Network Training Results 6-37
6-13 Stage 2 Neural Network Training Results 6-37
7-1 Sample of Physical Output Data Available from the Survey of Current Business . . 7-2
8-1 VMT Coefficients, Trend Variables, and R2 Values 8-9
8-2 National VMT from MOBILE 4.1 Fuel Consumption Model 8-13
8-3 1996 Phase 1 Growth, 1999 Phase 2 Growth, and Differences 8-15
vn
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LIST OF FIGURES
Number
Page
1-1 Flowchart for the Economic Growth Analysis System ... 114
6-1 NUMOD Data Flow Diagram i"f?
6-2 NUMOD Backcast, 1985-1991 '•'•'.'.'.'.'.'.'.'.'.'.'.'.'.'.'.'.'.'.'.'. 6-39
8-1 Normalized National Personal Transportation Trends . o *
8-2 Historic VMT Per Capita °"!l
9-1 CROSSWALK Design o I
y-o
Vlll
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LIST OF ACRONYMS
AADT
AEO
AIRS
AIRS/AFS
ANL
AQMD
ARGUS
ASM
AUSM
BCM
BEA
BEEM
BLS
CAAA
CBO
CEA
CO
COMMEND
CPI
CSEM
CSEMS
CSTM
DOC
DOE
DRI
DVMT
ECM
E-GAS
EIA
EKMA
EPA
EPRI
EPS
ERP
FMVCP
FGD
FGT
FHWA
FRB
GL
GNP
Average Annual Daily Traffic
Annual Energy Outlook
Aerometric Information Retrieval System
AIRS Facility Subsystem
Argonne National Laboratories
Air Quality Management Division
Argonne Utility Simulation Model
Annual Survey of Manufacturers
Advanced Utility Simulation Model
Build Cost Module
Bureau of Economic Analysis
Building Energy End-Use Model
Bureau of Labor Statistics
Clean Air Act Amendments of 1990
Congressional Budget Office
Council of Economic Advisors
Carbon Monoxide
Commercial End-Use Energy Planning System
Consumer Price Index
Commercial Sector Energy Model
Commercial Sector Energy Model by State
Coal Supply Transportation Model
Department of Commerce
Department of Energy
Data Resources, Inc.
Daily Vehicle Miles Travelled
Emissions and Control Module
Economic Growth Analysis System
Energy Information Administration
Empirical Kinetic Modeling Approach
Environmental Protection Agency
Electric Power Research Institute
Emission Preprocessor System
Economic Report of the President
Federal Motor Vehicle Control Program
Flue Gas Desulfurization
Flue Gas Treatment
Federal Highway Administration
Federal Reserve Board
Generalized Leontief
Gross National Product
IX
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GRP Gross Regional Product
HOME Household Model of Energy
HOMES Household Model of Energy by State
HPMS Highway Performance Monitoring System
ICARUS Investigation of Costs and Reliability in Utility Systems Model
I/M Inspection and Maintenance
INDEPTH Industrial End-Use Planning Methodology-Econometric Models
INRAD Industrial Regional Activity and Energy Demand Model
KLEM Capital, Labor, Energy, and Materials
LPG Liquefied Petroleum Gas
MECS Manufacturing Energy Consumption Survey
MPO Metropolitan Planning Organization
MRMP Multiple Region-Multiple Period
MSA Metropolitan Statistical Area
NAAQS National Ambient Air Quality Standards
NAPAP National Acid Precipitation Assessment Program
NBECS Non-Residential Building Energy Consumption Survey
NEA National Energy Accounts
NEDS National Emissions Database System
NERC North American Electric Reliability Council
NO, Oxides of Nitrogen
NSPS New Source Performance Standard
NUMOD Neural Network Electric Utility Model
OAQPS Office of Air Quality Planning and Standards
OMB Office of Management and Budget
PSI Pounds per Square Inch
PURHAPS Purchased Heat and Power Systems
QA Quality Assurance
RACT Reasonably Available Control Technology
REEM Regional Energy End-Use Model
REEPS Regional End-Use Energy Planning System
REMI Regional Economic Models, Inc.
RFP Reasonable Further Progress
ROM Regional Oxidation Model
RSQE Research Seminar in Quantitative Economics
RVP Reid Vapor Pressure
SCC Source Classification Code
SEDS State Energy Data System
SIC Standard Industrial Classification
SIP State Implementation Plan
SO2 Sulfur Dioxide
SRMP Single Region-Multiple Period
SRSP Single Region-Single Period
TEEMS Transportation Energy and Emissions Modeling System
-------
TSD Technical Support Division
UAM Urban Airshed Model
UEC Unit Energy Consumption
URGE Universities Research Group on Energy
VMT Vehicle Miles Travelled
VOC Volatile Organic Compounds
WEFA Wharton Econometric Forecast
XI
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ACKNOWLEDGEMENTS
This report was written by TRC Environmental Corporation for the U.S. Environmental
Protection Agency's Air and Energy Engineering Research Laboratory (AEERL) and Office of
Air Quality Planning and Standards (OAQPS) under the auspices of the Joint Emissions Inventory
Oversight Group (JEIOG). EPA involvement included: E. Sue Kimbrough (Work Assignment
Manager) and Larry Jones of the AEERL Emissions and Modeling Branch; Richard Wayland of
the OAQPS Technical Support Division; Laurel Schultz of the OAQPS Air Quality Management
Division; Natalie Dobie and Mark Wolcott of the Office of Mobile Sources; Gale Boyd and Don
Hanson of Argonne National Laboratory; and Steve Piccot of Southern Research Institute. Further
significant contributions to this document have been made by the staff from Regional Economic
Models, Inc. (REMI), Amherst, MA, and their documents. Ron Capone and his staff at Ronald
L. Capone & Associates provided Chapter 6 and Appendices A and B of this document.
XII
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CHAPTER 1
INTRODUCTION
1.1 BACKGROUND
On November 15, 1990, the Clean Air Act Amendments (CAAA) of 1990 were signed
into law. The CAAA require that extreme, severe, serious, and multi-State moderate ozone non-
attainment areas use photochemical grid modeling to demonstrate future attainment with the
ozone national ambient air quality standard (NAAQS) [Section 182(e)(2)(A)]. In addition to
photochemical grid modeling, the CAAA require that moderate, serious, severe, and extreme
ozone non-attainment areas submit Rate-Of-Progress (ROP) plans demonstrating a 15 percent
reduction in emissions from 1990 to 1996 [Section 182(b)(l)(A)]. In addition, ROP plans (i.e.,
inventories) for serious, severe, and extreme areas must include demonstration of a three percent
annual reduction (averaged over three years) from 1996 until attainment is achieved
[Section 182(c)(2)(B)].
Section 182(b)(l)(A) of the CAAA specifies that the 15 percent reduction from baseline
emissions accounts for any growth in emissions after 1990. A key component of the ROP
inventories and photochemical grid modeling demonstrations will be the development of credible
growth factors for the existing inventories. Credible growth factors will require accurate forecasts
of economic variables and the activities associated with the economic variables. In order to meet
these requirements, the Economic Growth Analysis System (E-GAS) has been designed and
developed.1
The existing inventories for ROP demonstration and photochemical modeling will be
housed in the Aerometric Information Retrieval System (AIRS). E-GAS will be applied to AIRS
inventories for the development of estimated future emissions out to 2010, the year that extreme
areas must reach attainment. The photochemical models which will be used to show attainment
include the Regional Oxidant Model (ROM) and the Urban Airshed Model (UAM). ROM
accounts for growth of regional inventories of ozone precursors and models expected levels of
ozone formation and transport in the region. This model provides the expected background (or
transported) concentration of ozone for urban nonattainment areas in the region being simulated.
1-1
-------
With background concentration estimates from ROM, UAM is used to model expected levels of
ozone formation in each ozone nonattainment area for specified meteorological conditions.
Chapter 2 of this report describes State modeling and ROP requirements in greater detail.
1.2 OBJECTIVES
The objective of this report is to describe the development of a prototype E-GAS model.
This report includes an overview of the E-GAS modeling system (Chapter 1); a description of
CAAA requirements for which E-GAS may be used (Chapter 2); a review of EPA guidance on
projecting inventories (Chapter 3); a description of national and regional economic forecasts and
their use in E-GAS (Chapter 4); a discussion of industrial, commercial, and residential fuel choice
models included in E-GAS (Chapter 5); a discussion of the electric utility neural network module
(Chapter 6); a discussion of the physical output module (Chapter 7); a discussion of the VMT
module (Chapter 8); and, a description of the E-GAS CROSSWALK (Chapter 9). Details on the
E-GAS user interface, minimum hardware requirements, and operation and maintenance of the
system can be found in the E-GAS user's guide.
13 SCOPE OF E-GAS
E-GAS will be used to project emissions inventories of volatile organic compounds
(VOC), oxides of nitrogen (NOJ, and carbon monoxide (CO) for ozone nonattainment areas and
ROM modeling regions. Therefore, the final structure of E-GAS includes projection capabilities
for sources of VOC, NO,, and CO for ozone nonattainment areas and any attainment portions of
the States associated with the areas, and States included in the ROM modeling domains.
The nonattainment areas modeled were chosen on the basis of their nonattainment
designation. All serious, severe, and extreme areas were modeled, as were multi-State moderate
areas. A list of these areas, their designations, and the counties included in the areas is presented
in Table 1-1. These areas, their designations and area definitions, were announced in the
November 6, 1991, Federal Register.
To minimize both the number and run time of the models in E-GAS, eight models were
developed. Separate models were developed for EPA Regions 1, 4, 5, 6, 7, and 9. In addition,
1-2
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TABLE 1-1. CLASSIFICATIONS OF AND COUNTIES WITHIN
DESIGNATED OZONE NONATTAINMENT AREAS
Designated Area
State(s)
Classification
Counties
Los Angeles-South Coast
Air Basin Area
CA
Extreme
Los Angeles County (part)
Orange County
Riverside County (part)
San Bernardino County (part)
Monterey Bay Area (Monterey,
San Benito, and Santa Cruz
Counties)
Chicago-Gary-Lake County IL-IN
Severe-17
IL: Cook County
Du Page County
Grundy County (part)
Kane County
Kendall County (part)
Lake County
McHenry County
Will County
IN: Lake County
Porter County
Houston-Galveston-Brazoria TX
Severe-17
Brazoria County
Chambers County
Fort Bend County
Galveston County
Harris County
Liberty County
Montgomery County
Waller County
Milwaukee-Racine
WI
Severe-17
Kenosha County
Milwaukee County
. Ozaukee County
Racine County
Washington County
Waukesha County
New York- New Jersey-
Long Island
NY-NJ-CT Severe-17 CT: Fairfield County (part)
Litchfield County (part)
NJ: Bergen County
.' Essex County
Hudson County
Hunterdon County
Middlesex County
Monmouth County
Morris County
Ocean County
Passaic County
Somerset County
(continued)
1-3
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TABLE 1-1. CLASSIFICATIONS OF AND COUNTIES WITHIN
DESIGNATED OZONE NONATTAINMENT AREAS
(continued)
Designated Area
State(s)
Classification
Counties
New York- New Jersey-
Long Island, continued
NY-NJ-CT Severe-17 NJ: Sussex County
Union County
NY: Bronx County
Kings County
Nassau County
New York County
Orange County
Putnam County
Queens County
Richmond County
Rockland County
Suffolk County
Westchester County
Southeast Desert Modified CA
AQMA
Severe-17
Los Angeles County (part)
Riverside County (part)
San Bernadino County (part)
Baltimore
MD
Severe-15
Anne Arundel County
City of Baltimore
Baltimore County
Carrol County
Harford County
Howard County
Philadelphia-Wilmington- PA-NJ-DE-
Trenton MD
Severe-15
DE: Kent County
New Castle County
MD: Cecil County
NJ: Burlington County
Camden County
Cumberland County
Gloucester County
Mercer County
Salem County
PA: Bucks County
Chester County
Delaware County
Montgomery County
Philadelphia County
San Diego
Ventura Co.
CA
CA
Severe- IS
Severe-15
San Diego County
Ventura County
(continued)
1-4
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TABLE 1-1. CLASSIFICATIONS OF AND COUNTIES WITHIN
DESIGNATED OZONE NONATTAINMENT AREAS
(continued)
Designated Area
State(s)
Classification
Counties
Atlanta
GA
Serious
Cherokee County
Clayton County
Cobb County
Coweta County
De Kalb County
Douglas County
Fayette County
Forsyth County
Fulton County
Gwinnett County
Henry County
Paulding County
Rockdale County
Baton Rouge
LA
Serious
Ascension Parish
East Baton Rouge Parish
Iberville Parish
Livingston Parish
Point Coupee Parish
West Baton Rouge Parish
Beaumont-Port Arthur
TX
Serious
Hardin County
Jefferson County
Orange County
Boston-Lawrence-Worcester MA-NH
(E.MA)
Serious
MA: Bamstable County
Bristol County
Dukes County
Essex County
Middlesex County
Nantucket County
Norfolk County
Plymouth County
Suffolk County
Worcester County
NH: Hillsborough County (part)
Rockingham County (part)
El Paso
TX
Serious
El Paso County
Greater Connecticut
CT
Serious
Fairfield County (part)
Hartford County
Litchfield County (part)
Middlesex County
New Haven County
New London County
Tolland County
(continued)
1-5
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TABLE 1-1. CLASSIFICATIONS OF AND COUNTIES WITHIN
DESIGNATED OZONE NONATTAINMENT AREAS
(continued)
Designated Area
State(s)
Classification
Counties
Greater Connecticut,contimied CT
Serious
Windham County
Muskegon
MI
Serious
Muskegon County
Portsmouth-Dover-Rochester NH
Serious
Rockingham County (part)
StrafTord County
Providence (all RI)
RI
Serious
Bristol County
Kent County
Newport County
Providence County
Washington County
Sacramento Metro
CA
Serious
El Dorado County (part)
Placer County (part)
Sacramento County
Solano County (part)
Sutter County (part)
Yolo County
San Joaquin Valley
CA
Serious
Fresno County
Kern County
Kings County
Madera County
Merced County
San Joaquin County
Stanislaus County
Tulare County
Sheboygan
WI
Serious
Sheboygan County
Springfield (Western MA) MA
Serious
Berkshire County
Franklin County
Hampden County
Hampshire County
Washington
DC-MD-VA Serious
DC: Entire Area
MD: Calvert County
Charles County
Frederick County
Montgomery County
Prince George's County
VA: City of Alexandria
Arlington County
City of Fairfax
Fairfax County
Falls Church
(continued)
1-6
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TABLE 1-1. CLASSIFICATIONS OF AND COUNTIES WITHIN
DESIGNATED OZONE NONATTAINMENT AREAS
(continued)
Designated Area
State(s)
Classification
Counties
Washington, continued
DC-MD-VA Serious
VA: Loudoun County
Manassas
Manassas Park
Prince William County
Stafford County
Cincinnati-Hamilton
OH-KY
Moderate
KY: Boone County
Campbell County
Kenton County
OH: Butler County
Clermont County
Hamilton County
Warren County
Huntington-Ashland
WV-KY
Moderate
KY: Boyd County
Greenup County (part)
WV: Cabell County
Wayne County
Louisville
KY-IN
Moderate
IN: Clark County
Floyd County
KY: Bullit County (part)
Jefferson County
Oldham County (part)
St. Louis
MOIL
Moderate
IL: Madison County
Monroe County
St. Clair County
MO: Franklin County
Jefferson County
St. Charles County
City of St. Louis
St. Louis County (part)
1-7
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models which combine the areas in EPA Regions 2 and 3 and EPA Regions 8 and 10 were
developed. Each model includes all extreme, severe, serious, and multi-State moderate areas, as
well as each State and partial State in the region.
1.4 OVERVIEW OF E-GAS SYSTEM
1.4.1 General
Three factors were major considerations during the design phase of E-GAS. First, EPA
guidance on projecting emissions inventories was studied. Second, the role of E-GAS in
projecting inventories for photochemical models was defined. Third, emission inventories used
by Regional Oxidant Model for the Northeast Transport Region (ROMNET) were obtained in
order to determine the largest sources of NOX and VOC in the Northeast. Although the
importance of emission sources to the overall VOC and NO, budgets can vary by geographic
area, the Northeast Transport Region was assumed to provide a good general picture of the
sources which lead to ozone formation. In addition, because of previous modeling efforts for the
region, detailed inventories of VOC and NO, emissions were available.2
1.4.2 EPA Guidance on Projecting Emissions
The general methodology for estimating growth in activity from inventoried emission
sources involves two steps. First, the economic sector which corresponds to the emission-
producing activity is identified. Second, forecasts of growth in the economic sector are used to
project growth in the activity. For example, activity growth at VOC-producing petroleum
refineries may be estimated using growth in Standard Industrial Classification (SIC) 2911. EPA
guidance proposes that economic variables which can be used to project growth in emissions-
producing activity include, in order of preference, product output, value added, earnings, and
employment.3
EPA considers E-GAS to be one of the options for projecting point, area, and mobile
emission source categories.
1-8
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E-GAS provides more relevant (i.e., physical output) and-timely Source Classification
Code (SCC)-specific growth factors than factors based on information available from BEA.
Growth factors based on BEA data reflect employment and earnings growth which are not as
closely related to emissions growth as value added and physical output.
E-GAS provides default, average annual growth factors for ozone nonattainment areas and
for the remainder of the State in which the nonattainment area is located. E-GAS growth factors
are expected to be very useful to the State and local governments in selecting growth factors for
projecting future VOC emissions. They would provide a starting point for State and local
governments to estimate growth.
Since annual activity growth will fluctuate rather than occur in smooth, year-by-year
increases or decreases, the default factors must be reviewed and modified by State and local
governments based on local knowledge of plant expansions, plant closures, new facility
construction, or similar factors that would be expected to temporarily distort the default growth
projections for any one year.
A detailed discussion of EPA guidance for projecting emissions is presented in Chapter 3.
1.4.3 Photochemical Modeling Demonstrations Required By The CAAA
For photochemical modeling demonstrations, States in the Northeast, Southeast, and
Midwest ROM modeling areas will use estimates from the ROM to determine approximate
background ozone levels from transport of ozone within the region. ROM accounts for growth
in regional inventories of ozone precursors and models expected levels of ozone formation and
transport in the region. This model provides the expected background (or transported)
concentration of ozone for urban nonattainment areas in the modeled region. These background
concentration estimates will be developed by EPA. In addition, States will need to use a
photochemical grid model, such as the Urban Airshed Model, to estimate ozone formation in the
nonattainment area. UAM uses background concentration estimates from ROM and determines
approximate ozone formation in order to model expected levels of ozone in a nonattainment area
for specified meteorological conditions.
Photochemical modeling and ROP requirements are discussed in detail in Chapter 2.
1-9
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1.4.4 Emission Inventory for the Northeast Transport Region
An inventory of VOC and NOX emissions in the Northeast Transport Region in 1985 is
summarized in Table 1-2. As the data in the table indicate, VOC and NOX emission sources
differ greatly by pollutant. Over half of the 1985 NOX emissions in the region are attributable
to point sources, while less than 10 percent of VOC emissions is associated with point sources.
All of the point source NOX emissions are due to fuel combustion. Nonhighway area sources
accounted for over half of the VOC emissions but less than 15 percent of NOX emissions. Only
highway mobile sources are a major source of VOC and NOX: these sources accounted for
approximately 35 percent of NOX and 40 percent of VOC emissions. This inventory does not
include CO; however, CO emissions are associated primarily with sources which also emit VOC
and NOX, namely, fuel combustion.
While two sources of NOX emissions, utility fuel consumption and highway mobile
sources, accounted for over 75 percent of all NO, emissions, only highway mobile sources serve
as a dominant source of VOC emissions. No other VOC source contributed more than 13 percent
of emissions to the inventory.2 This, along with the fact that over half of the VOC was emitted
from area sources, suggests that projecting emissions-producing activity may be more difficult
for VOC than for NOX.
1.4.5 Design Decisions
Based on the information gathered concerning existing EPA projection guidance, the use
of photochemical models in attainment demonstrations, and the 1985 ROMNET inventory, five
major design decisions were made:
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TABLE 1-2. SUMMER WEEKDAY EMISSIONS FOR 1985 BY SOURCE
CATEGORY FOR THE US. PORTION OF THE ROMNET
DOMAIN (tons/day)2
Point Sources
Fuel Combustion
Utility External - Coal
Utility External - Oil
Utility External - Gas
Utility External - Other
Utility Internal - Oil
Utility Internal - Gas
Industrial External - Oil
Industrial External - Gas
Industrial External - Other
Industrial Internal - Oil
Industrial Internal - Gas
Commercial/Institutional
Aircraft (Internal)
Solvent Metal Cleaning
Printing and Publishing
Dry Cleaning
Automobile Surface Coating
Beverage Can Surface Coating
General Wood Surface Coating
Paper Surface Coating
Miscellaneous Surface Coating
Crude Oil and Gasoline Storage
Bulk Gasoline Storage
Marine Vessel Loading
Service Stations - Stage I
Chemical Manufacture Vents
Chemical Manufacture Fugitives
Petroleum Refinery Fugitives
Refinery Wastewater Treatment
Refinery Vacuum Distillation
Cellulose Acetate Manufacture
Styrene-Butadiene Rubber Mfg.
Polyethylene Manufacture
Vegetable Oil Processing
Paint and Varnish Manufacture
Rubber Tire Manufacture
Carbon Black Manufacture
Coke Oven Byproduct Plants
Other Industrial
Waste Disposal
Total - Point Sources
Highway Mobile Sources
Non-Highway Area Sources
Residential Fuel - Wood
Residential Fuel - Other
Commercial/Institutional Fuel
Industrial Fuel - Coal
NO,
5,721
414
176
7
14
8
131
146
6
9
613
62
10
0
0
0
0
7
0
0
0
0
0
0
0
30
0
0
0
19
0
0
13
0
0
0
0
11
425
32
7,851
5,108
7
36
146
111
voc
23
10
0
1
1
0
12
12
1
0
5
3
6
34
131
0
140
64
30
85
344
67
19
18
1
1
9
16
9
18
30
4
30
2
19
11
2
20
744
3
1,926
8,956
121
2
4
0
(continued)
1-11
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TABLE 1-2. SUMMER WEEKDAY EMISSIONS FOR 1985 BY SOURCE
CATEGORY FOR THE U.S. PORTION OF THE ROMNET
DOMAIN (tons/day)2 (continued)
Non-Highway Area Sources, continued
Industrial Fuel - Oil
Industrial Fuel - Gas
Incineration - Residential
Incineration - Other
Open Burning - Residential
Open Burning - Other
Off-Highway Vehicles
Railroad Locomotives
Aircraft
Vessels - Gasoline
Vessels - Other
Forest Wildfires
Structural Fire
Gasoline Marketed
Degreasing
Drycleaning
Graphics Aits/Printing
Rubber and Plastic Manufacture
Surface Coating
Architectural
Auto Body Repair
Motor Vehicle Manufacture
Paper Coating
Fabricated Metals
Machinery Manufacture
Furniture Manufacture
Flat Wood Products
Other Transportation Equipment
Electrical Equipment
Ship Building/Repair
Miscellaneous Industrial Manufacture
Miscellaneous Industrial Solvent Use
POTWs
Cutback
Chemical Manufacture Fugitives
Bulk Terminals and Bulk Plants
Petroleum Refinery Fugitives
Process Emissions - Bakeries
Process Emissions - Pharmaceuticals
Process Emissions - Synthetic Fibers
Crude Oil/Gas Production Fields
Hazardous Waste TSDFs
Total - Other Area Sources
TOTAL - POINT, MOBILE, AREA
NO,
64
440
3
17
53
1
706
322
84
7
69
3
6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
15,035
VOC
3
5
46
5
279
5
681
78
99
161
17
12
47
1,298
495
319
280
590
1,054
222
58
340
107
51
89
15
3
14
11
847
2,230
11
130
195
405
301
48
45
93
70
787
11,676
22,557
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Because BEA economic forecasts for States are only released every five years, it was
determined that BEA was not the best source for economic data. In lieu of economic
data, it was proposed that sub-national economic models be included in E-GAS because
models, rather than forecasts, would allow the user to base projections on the most up-to-
date economic information available.
Because UAM requires estimates of source growth for ozone nonattainment areas, it was
determined that E-GAS should include the capability to produce MSA-level economic
growth factors. After contacting numerous economic modeling firms, Regional Economic
Models, Inc. (REMI) was located. E-GAS uses REMI models to produce area-specifc
growth factors, by source, for each of the nonattainment areas and attainment portions of
States in E-GAS. These growth factors are applied to each county in the modeled area.
The spatial resolution of the REMI model only allows area-specific growth factors, which
are subsequently assigned to counties for use in photochemical grid models.
Regional economic models are driven by forecasts of national economic activity.
Therefore, E-GAS needed a national economic forecasting capability. It was determined
that the system would be most accurate if users were allowed to choose a national
economic forecast. Therefore, the E-GAS system is designed to allow users to make this
choice. However, it was determined that only two national forecasts would be supplied
with the system, Bureau of Labor Statistics (BLS) and Wharton Econometrics Forecasting
Associates (WEFA).
Based on the emission source strengths in the 1985 Northeast Transport Region inventory,
it was determined that separate forecasting modules were needed for estimating emissions
growth for the following categories: fuel consumption by electric utilities; industrial
physical output for the major VOC-producing sources; vehicle miles travelled by highway
vehicles; and fuel consumption by the commercial, residential, and industrial sectors.
Activity growth estimates should be developed at the level of disaggregation of the
emission inventories to be projected by the growth estimates. Therefore, it was
determined that growth factors would be developed for each of the point, area, and mobile
Source Classification Codes. This level of disaggregation allows E-GAS users to apply
model outputs to existing inventories to project emissions for both photochemical
modeling demonstrations and ROP planning.
1.4.6 E-GAS Design
Figure 1-1 contains the flow chart for E-GAS. As the flowchart indicates, E-GAS is
composed of three tiers: a national economic tier, a regional economic tier, and a growth factor
tier. Each of these tiers will be discussed briefly.
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S I
QnDDD 1
09
>,
CO
1-1A
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1.4.6.1 Tier 1: The National Economic Tier
The national economic tier includes a REMI model of the United States which includes
a baseline forecast calibrated to the one released by the BLS. Although the BLS forecast is
updated every two years, REMI updates the forecast using data released annually by BEA. In
addition, the E-GAS national economic tier contains the option to use economic forecasts from
WEFA. WEFA forecasts national economic activity under low growth, base case, high growth,
and cyclical growth scenarios.
The function of the national tier in E-GAS is two-fold. First, the inclusion of a national
forecasting capability allows EPA to forecast urban and regional economic growth using a
common assumption about national economic growth. Second, it provides users with the ability
to use the most current national economic forecasts and to simulate the effects of different levels
of national growth on emission-producing activity in nonattainment areas.
The national economic tier is discussed in detail in Chapter 4.
1.4.6.2 Tier 2: The Regional Economic Tier
The regional economic tier includes separate economic models for each of the
nonattainment areas and attainment portions of States. The largest geographic area covered by
an economic model is a State.
The regional economic models included in E-GAS were built by REMI. The models
simulate interaction between the 14 major sectors of an economy and produce estimates of
employment and value added for 210 sectors. The 210-sector outputs are identified by BLS
industrial codes. The BLS codes are closely related to three-digit SIC codes. Outputs from the
regional models are used as input data for the growth factor tier.
The REMI models are designed to forecast future activity in an area and to simulate the
effects of a policy change in an area. The models come with a capability for the user to simulate
the effects of changes in almost 400 economic policy variables and over 70 demographic
variables. The list of policy variables included with E-GAS was reduced to 84 variables. Two
criteria were used for choosing which policy would be included in the system: whether the policy
variable relates to the implementation of the CAAA; and whether the variable is one which local
personnel using E-GAS would be knowledgeable of, particularly changes or proposed changes.
For example, industrial capital costs were included as a variable because that variable satisfies
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the first criterion. This variable will allow users to simulate the effects of control costs
associated with the CAAA. Policy variables that satisfy the second criterion include local tax
rates and State and local government spending. Policy variables which do not satisfy either
criterion, and therefore are not in E-GAS, include demographic variables such as birth and
survival rates, and economic variables such as demand for goods not affected by the CAAA.
Table 1-3 lists the policy variables included in E-GAS.
The REMI models and outputs contribute to the development of credible growth factors
for future-year inventories in the following ways:
1. Forecasts of activity from emission-producing sources were to be developed for both the
attainment and nonattainment portions of States, allowing growth rates to differ between
rural and urban portions of a State.
2. Outputs from the models are used to produce area-level estimates of fuel consumption,
VMT, and physical output.
3. The effects of a nonattainment area policy on the surrounding areas can be assessed.
4. Information on local policies can be entered directly into the REMI models. This ability
allows users to include the effects of local policies when developing forecasts.
REMI outputs and the growth factor tier are linked in the following specific ways.
• REMI models provide income forecasts for estimating residential
fuel consumption.
• REMI models provide population and personal income forecasts for
estimating commercial energy consumption.
• REMI models provide the forecasts of the relative costs of capital,
labor, and materials for estimating industrial fuel consumption.
• REMI models provide industry-specific employment and value
added forecasts for estimating physical output.
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TABLE 1-3. POLICY VARIABLES INCLUDED IN E-GAS
Employment Variables
Change in Employment in Durable Goods
Change in Employment in Nondurable Goods
Change in Employment in Mining
Change in Employment in Construction
Change in Employment in Transportation and Public Utilities
Change in Employment in Finance, Insurance, and Real Estate
Change in Employment in Retail Trade
Change in Employment in Wholesale Trade
Change in Employment in Services
Change in Employment in Agriculture, Farm, and Fishing Services
Change in Employment in State and Local Government
Change in Employment in Federal Civilian Government
Change in Employment in Federal Military
Change in Employment in Agriculture
Demand Variables
Final Demand for Durable Goods
Final Demand for Nondurable Goods
Final Demand for Mining
Final Demand for Construction
Final Demand for Transportation and Public Utilities
Final Demand for Finance, Insurance, and Real Estate
Final Demand for Retail Trade
Final Demand for Wholesale Trade
Final Demand for Services
Final Demand for Agriculture, Farm, and Fishing Services
Personal Consumption Expenditure (PCE)
PCE - Autos and Parts
PCE - Furniture and Household Equipment
PCE - Other Durables
PCE - Food and Beverages
PCE - Clothing and Shoes
PCE - Gasoline and Fuel
PCE - Fuel Oil and Coal
PCE - Other Nondurables
PCE - Housing
PCE - Household Operation
PCE - Transportation and Public Utilities
PCE - Health Services
PCE - Other Services
PCE - Electricity
PCE - Natural Gas
PCE - Bus and Trolley Car Transportation
PCE - Taxicabs
PCE - Commuter Railway Transportation
PCE - Railway Transportation
PCE - Intercity Bus
(continued)
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TABLE 1-3. POLICY VARIABLES INCLUDED IN E-GAS (continued)
Investment
Residential Investment
Nonresidential Investment
Durable Equipment Investment
Fuel Costs
Relative Price of Commercial Electricity
Relative Price of Industrial Electricity
Relative Price of Commercial Natural Gas
Relative Price of Industrial Natural Gas
Relative Price of Commercial Oil
Relative Price of Industrial Oil
State and Local Government Spending
Elementary and Secondary Education
Higher Education
Other Education and Libraries
Health and Hospitals
Public Assistance and Relief
Sewerage
Sanitation
Police
Fire
Corrections
Highways
Water and Air Facilities
Transit Utilities
Other Commerce and Transportation
Gas and Electric Utilities
Water
Urban Renewal and Community Facilities
Natural and Agricultural Resources and Recreation
Other General Government
Local Facilities
New Communications Facilities
New Electric Utility Facilities
New Water and Sewer Supply Facilities
New Gas Utility and Pipeline Facilities
New Roads
New Local Transit Facilities
New Conservation and Development Facilities
Other
Change in Purchasing Power
Corporate Profit Tax Rate
Equipment Tax Rate
Personal Taxes
Property Tax Rate
1-18
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REMI models provide population forecasts 'for use in estimating
VMT.
The regional economic tier is discussed in Chapter 4.
1.4.6.3 Tier 3: The Growth Factor Tier
The third tier of E-GAS is the largest portion of the system. Housed within the third tier
are commercial, residential, industrial, and utility energy models; a VMT module; a physical
output module; and a Crosswalk. Each of these will be discussed.
The energy models in the system were developed by Argonne National Laboratories
(ANL) and are currently being used for the National Acid Precipitation Assessment Program
(NAPAP). The residential energy model, the Household Model of Energy (HOMES), was
modified for use in the NAPAP model set in the mid-1980s. In 1989-1990, ANL updated
HOMES to include the capability to model residential fuel consumption at the State, rather than
Census, level. For use in E-GAS, two changes were made to HOMES. First, the base year of
the model projections was updated to 1990 using data from the State Energy Data Report
(SEDS),4 Additionally, the capability to estimate growth in residential fuel consumption at the
sub-State level was developed. REMI forecasts of population data for nonattainment areas and
attainment portions of States are input with State-level fuel price forecasts to develop estimates
of residential fuel consumption growth for seven fuels for each of the nonattainment areas and
attainment portions of States in E-GAS.
The commercial energy model, the Commercial Sector Energy Model (CSEMS), was also
developed for use in the NAPAP model set in the mid-1980s and updated in 1989-1990 to
estimate commercial fuel consumption at the State level. Like HOMES, the model was modified
for use in E-GAS to estimate commercial energy consumption growth for six fuels for
nonattainment areas and surrounding attainment portions of States. The base year for the model
projections was updated to 1990 using data from SEDS. Inputs to CSEMS include State-level
fuel price forecasts and REMI forecasts of population and personal income at the sub-State level.
The industrial energy model, the Industrial Regional Activity and Energy Demand Model
(INRAD), was developed to predict how energy use will be influenced by energy prices and the
general level of economic activity.5 INRAD was developed to model energy consumption of
1-19
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fossil fuels and electricity for seven energy-intensive industries and an eighth "other" category
which aggregates the non-energy-intensive industries. Two modifications to INRAD were made
for use in E-GAS. First, additional industrial categories were modeled. Second, INRAD was
modified to estimate fossil fuel consumption by fuel type. With these modifications, INRAD can
estimate coal, oil, gas, and electricity consumption for the following sectors: food, textiles,
upstream paper products, downstream paper products, upstream chemicals, downstream
chemicals, glass, glass products, and metals. Inputs to INRAD include State-level forecasts of
fuel prices and REMI forecasts of the relative costs of capital, labor, and materials at the sub-
State level.
The VMT module projects growth in VMT for the modeled areas. EPA guidance
indicates that a single VMT projection may be applied to the entire mobile source category. The
E-GAS VMT projection method (1990-1996) is based on Federal Aid Urbanized Area HPMS
data for 1985*1990. The methodology uses regression analysis of these data to establish short-
term non-attainment area-level trends in VMT growth. For projections beyond 1996, E-GAS
allocates national VMT growth as projected by the EPA MOBILE4.1 Fuel Consumption Model
to individual areas based on population growth.
The physical output module estimates physical output from value added data generated
by the REMI models. Industrial VOC sources were ranked by their contributions to industrial
VOC emissions and equations were developed for the largest VOC sources. These equations
relate changes in physical output by three-digit SIC categories (as identified by BLS code) with
changes in value added and a time trend to capture technological change. These equations
provide better estimates of VOC-producing activity than value added alone because they estimate
change in actual material output, which is related to the use of VOC producing materials, such
as surface coatings and degreasers. For industrial VOC categories for which equations were not
developed, activity levels are forecast using value added forecasts from the REMI models.
Electricity generation by electric utilities is forecast by the Neural Network Electric Utility
Model (NUMOD). NUMOD is a behavioral model which uses 3 embedded neural networks to
calculate annual generation activity indices and annual generation resulting from combustion of
coal, oil, and natural gas in each of the 48 contiguous states. Although NUMOD forecasts state
aggregate generation, it assumes that states are grouped into power pools. It also assumes that
generation needed to meet demand in any state may be partially located in other states in the
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power pool. In contrast to traditional electric utility models, NUMOD uses artificial intelligence
to learn to relate the amount of electricity generated from data describing generating capacity,
climate, peak loads, fuel prices, and power pool effects. The model operates by reading input
records, each of which describes one state for one year. Each record is independent of every
other record, allowing NUMOD to run any number of scenarios during a single model run.
The Crosswalk is the final component of the E-GAS system. The Crosswalk translates
growth factors from the energy, VMT, and physical output modules into growth by SCC. The
growth factors from the industrial energy and physical output modules are disaggregated to the
two-, three-, and sometimes four-digit SIC level, while growth factors from the electric utility
model can be disaggregated to the plant or county level by type of fuel consumption. The
commercial and residential sector energy models disaggregate consumption by fuel type only.
The Crosswalk was developed by individually matching each of the approximately 7000 SCCs
with the appropriate growth factor from the modules. This allows different growth factors to be
applied to different emission sources from the same industrial category. For example, forecasts
of fuel consumption in upstream chemical manufacturing are developed by INRAD, while
forecasts of physical output of upstream chemical products are developed in the physical output
module. This methodology takes into account that future emissions associated with an SIC code
will vary by type of emission. This is consistent with the SCC system of classification which
differentiates according to not only industrial category, but also to processes within that category.
1-21
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1.
2.
3.
5.
REFERENCES
Lynch, T.M., T.R. Young, M.G. Smith, and E.S. Kimbrough. Design and Development
of the Economic Growth Analysis System (E-GAS). Paper presented at 2nd Annual
EPA/Air & Waste Management Association Specialty Conference, Emission Inventory
Issues and Progress, Durham, NC. October 19-22, 1992.
Possiel, N.C., L.B. Milich, B.R. Goodrich, E.L. Meyer, and K.L. Schere. Regional Ozone
Modeling for Northeast Transport - Development of a Base Year Anthropogenic Emissions
Inventory. EPA-450/4-91-002a (NTIS PB92-108786/AS). Research Triangle Park, NC.
June 1991.
U.S. Environmental Protection Agency. Procedures for Preparing Emissions Projections.
EPA-450/4/91-019 (NTIS PB91-242404). Research Triangle Park, NC. July 1991.
U.S. Department of Energy. State Energy Data Report Consumption Estimates, 1960 •
1990, DOE EIA - 0214 (90). Office of Energy Markets and End Use, Energy Information
Administration. Washington, DC. May 1992.
Boyd, G.A., E.G. Kokkelenberg, and M.H. Ross. Sectoral Electricity and Fossil Fuel
Demand in U.S. Manufacturing: Development of the Industrial Regional Activity and
Energy Demand (INRAD) Model. Argonne National Laboratory. Argonne, IL. February
1990.
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CHAPTER 2
STATUTORY BACKGROUND AND USER REQUIREMENTS FOR USING E-GAS
TO PROJECT EMISSIONS
2.1 INTRODUCTION
Title I of the CAAA requires that ozone nonattainment areas classified as serious, severe,
extreme and multi-State moderate use photochemical grid modeling to demonstrate future
attainment with the ozone national ambient air quality standard [Section 182(E)(2)(A)]. In
addition to photochemical grid modeling, Section 182(b)(l)(A) requires mat moderate, serious,
severe and extreme ozone nonattainment areas submit a rate of progress plan to demonstrate how
the area will achieve the IS percent reduction in VOC emissions by 1996. Areas classified as
serious, severe and extreme are also required to demonstrate how the area will achieve a three
percent annual reduction (averaged over three years) in VOC or NOX from 1996 until the area
reaches attainment [Section 182(c)(2)(B)].
EPA is currently drafting guidance to aid States in the development of the rate of progress
plans. The rate of progress plan (due in 1993) must include the IS percent demonstration, the
control strategy, adopted rules identified in the control strategy and an attainment demonstration
for moderate areas. The post-1996 rate of progress plan (due in 1994) will include the above
information and the attainment demonstration for serious and above areas.
Section 182(b)(l)(A) specifies that the IS percent reduction from baseline emissions
accounts for any growth in emissions after 1990. A key component of these rate of progress
plans is the projection of emissions that will be required to determine growth in the area. E-GAS
can provide the growth factors necessary to project future emissions.
This chapter discusses potential E-GAS user groups; statutory requirements of the CAAA
for which E-GAS may be used; and system requirements identified during the development of
E-GAS.
2-1
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2.2 POTENTIAL E-GAS USERS
States that have ozone nonattainment areas classified moderate and above are required to
submit rate of progress plans that will include projections of emissions for all source categories
within the nonattainment area. In order for the States to prepare accurate estimates of emissions,
appropriate emission growth factors must be developed. E-GAS will support that development.
Potential E-GAS user groups include the following:
State and Local Air Agencies
EPA Regional Offices
EPA Office of Air Quality Planning and Standards (OAQPS)
OAQPS Air Quality Management Division (AQMD)
OAQPS Technical Support Division (TSD)
2.3 TERMINOLOGY
The following terms will be used in this report and in discussions concerning the use of
E-GAS to project emission inventories for modeling and rate of progress plans.
Rate of Progress EPA has defined rate of progress as the 15 percent emissions reduction from
1990 emissions required by November 15, 1996 [Section 182(b)(l)].
Reasonable Further Progress Reasonable further progress is defined in Section 182(c)(2) as the
three percent per year averaged over consecutive three year periods from November 15, 1996
until die areas are redesignated.
Rate of Progress Plan The rate of progress plan is the portion of the State implementation plan
(SIP) revision (due in 1993) that illustrates the plan for the achievement of the 15 percent
emissions reduction.
Post-1996 Rate of Progress Plan The post-1996 rate of progress plan is the portion of the SIP
revision (due in 1994) that illustrates the plan for the achievement of the nine percent emissions
reductions every three years.
2-2
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Base Year Emission Inventory Section 182(aXl) defines this inventory as a "comprehensive,
accurate, current inventory of actual emissions from all sources", which includes 1990 emissions
ofVOC,NOx, and CO.
Baseline Emissions Section 182(b)(l)(B) defines baseline emissions as the total amount of VOC
or NOX emissions from all anthropogenic sources in the area excluding emissions that would be
eliminated under the regulations described in Section 182(b)(l)(D)(i) and (ii).
1990 Actual Inventory This inventory reflects only emissions within the designated
nonattainment area. EPA has interpreted that the 15 percent reduction must be from sources
within the nonattainment area.
Projected Emission Inventory This inventory is necessary to determine the control strategy that
an area will need to meet the required emission reductions and eventually attain the standard.
1996 Target Level of Emissions EPA has defined this to be the level of emissions in a
nonattainment area necessary for the area to meet the rate of progress requirements.
Milestone Demonstration Demonstrating achievement of the 15 percent VOC reduction in the
first 6 years after enactment and then subsequently demonstrating achievement of the 3 percent
VOC reduction per year averaged over 3 years from November 15, 1996, are defined as
milestone demonstrations. Milestone demonstrations must be submitted to EPA within 90 days
of the milestone date in accordance with Section 182(g)(2).
User Requirements Analysis The description of user needs in terms of input and output
capabilities.
2.4 OVERVIEW OF REASONABLE FURTHER PROGRESS REQUIREMENTS
Section 182(b)(l) of the CAAA requires all ozone nonattainment areas classified moderate
and above to submit SIP revision to provide for reductions in VOC emissions of at least 15
percent during the fust 6 years after enactment* The purpose of this specified rate of reduction
program is to establish a consistent requirement for all ozone nonattainment areas classified
moderate and above. The 15 percent reduction requirement is intended to set a minimum level
for emission reductions. The baseline from which the 15 percent reduction is calculated is
defined as all anthropogenic emissions (VOC and NOJ during calendar year 1990 excluding the
emissions that would be eliminated by Federal Motor Vehicle Control Program (FMVCP)
This submission was required by November IS, 1993.
2-3
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regulations promulgated by January 1, 1990 and Reid vapor1 pressure (RVP) regulations
promulgated by November 15, 1990, or regulations required to be promulgated under section
211(h) which requires RVP no greater than 9.0 pounds per square inch (psi) during the high
ozone season (7.8 psi in the southern portions of the United States) [Section 182(b)(l)(B)].
These expected emission reductions are removed from the baseline prior to calculating the
required 15 percent emission reduction.
Emission reductions from the following types of regulations are not creditable toward the
15 percent progress requirement:
• FMVCP regulations promulgated by EPA by January 1, 1990
• RVP regulations promulgated by EPA by November 15, 1990 or required to be
promulgated under Section 21 l(h) which requires RVP no greater than 9.0 psi during the
high ozone season (7.8 psi hi the southern portions of the United States)
• Regulations submitted to correct deficiencies in existing VOC reasonably available control
technology (RACT) regulations as required under Section 182(a)(2)(A)
• Regulations submitted to correct deficiencies in inspection and maintenance (I/M)
programs as required under Section 182(a)(2)(B)
All other emission reductions are creditable.
The expected reductions from FMVCP and RVP are adjusted out of the baseline prior to
calculating the required 15 percent reduction (via the development of the adjusted base year
inventory). By adjusting the baseline for these two programs, States lower the 15 percent
emission reduction requirement. Congress allowed this adjustment to ensure that States would
be fully credited for relevant reductions (i.e., the adjustment recognizes that the reductions from
these programs should have already occurred and therefore lowers the inventory from which the
15 percent requirement is calculated).
A nonattainment area can achieve less than the 15 percent required reductions if the State
can demonstrate that: (1) the area has a New Source Review program equivalent to the
requirements in extreme areas [Section 182(e)], except that "major source" must include any
source which emits, or has the potential to emit, 5 tons per year of VOC; and (2) all major
sources (those which emit 5 or more tons per year) in the area must have RACT level controls.
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The plan must also include all measures which can be feasibly implemented in the area. Finally,
the State must demonstrate that the plan includes all measures achieved in practice by sources
in the same source category hi nonattainment areas of the next higher classification. The waiver
for the 15 percent progress requirement cannot apply to nonattainment areas classified as extreme,
Section 182(c)(2)(B) requires that serious, severe and extreme ozone nonattainment areas
submit a post- 1996 rate of progress plan by November 15, 1994. The plan must provide
reductions in VOC emissions of at least three percent per year averaged over three consecutive
years beginning November 15, 1996 until the area reaches attainment. A nonattainment area can
achieve less than the three percent per year required reductions if the State can demonstrate that
the plan includes all measures which can be feasibly implemented in the area, in light of
technological achievability. Additionally, the State must demonstrate that the plan includes all
measures achieved in practice by sources in the same source category in nonattainment areas of
the next higher classification. The waiver for the three percent per year progress requirement
cannot apply to nonattainment areas classified as extreme. A determination of the waiver from
the three percent per year requirement will be reviewed at each milestone under Section 182(g)
and revised to reflect the availability of any new technologies or other control measures for
sources in the same category. The baseline for the three percent per year reductions and
credibility requirements is the same as for the 15 percent progress requirement under Section
2.5 OVERVIEW OF ATTAINMENT DEMONSTRATION REQUIREMENTS
Section 182(b)(l)(A) requires a SIP revision for a moderate ozone nonattainment area to
provide for reductions in VOC and NOX emissions "as necessary to attain the national primary
ambient air quality standard for ozone." This requirement can be met through applying EPA-
approved modeling techniques described in the current version of EPA's Guideline on Air Quality
Models (Revised).1 The Urban Airshed Model, a photochemical grid model, is recommended for
modeling applications involving entire urban areas. In addition, for moderate areas contained
solely in one State, the city-specific Empirical Kinetic Modeling Approach (EKMA) may be an
acceptable modeling technique. The State should consult with EPA prior to selection of a
modeling technique. If EKMA is used, the attainment demonstration is due by November 1993.
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In other cases, a State might choose to use a photochemical grid model instead of EKMA.
Grid modeling will generally provide a better tool for decision makers and the necessary
additional time may, therefore, be justified. In such cases, States should consult with EPA on
a case-by-case basis on an acceptable approach to meeting the Section 182(b)(l)(A) requirement
through an interim SIP submittal by November 1993 and a completed attainment demonstration
by November 1994. The interim submittal would include, at a minimum, evidence that the grid
modeling has begun and a commitment, with schedule, to complete the modeling and submit it
as a SIP revision by November 1994. The completed attainment demonstration would include
any additional controls needed for attainment. Separate attainment demonstration requirements
apply to multi-State moderate areas, as described below.
Moderate and above multi-State ozone nonattainment areas must submit attainment
demonstrations which use photochemical grid modeling (or equivalent) (Section 182(j)(l)(B)).
The Urban Airshed Model is recommended for modeling applications involving entire urban
areas. Care should be taken to coordinate strategies and assumptions in a modeled area with
those in other, nearby modeled areas in order to ensure that consistent, plausible strategies are
developed. EPA has further interpreted the requirements of Section 182Q) to supersede the
requirements of 182(b). This means that a State must submit a SIP revision providing for the
15 percent reduction in VOC emissions from 1990 through 1996 by November 15, 1993. A
second SIP revision including the necessary provisions to demonstrate attainment of the NAAQS
is due November 15, 1994: The timing of these submittals is identical to the requirements for
serious ozone nonattainment areas.
Section 182(c)(2)(A) requires a SIP for a serious ozone nonattainment area to provide an
attainment demonstration by November 15,1994. The "attainment demonstration must be based
on photochemical grid modeling or any other analytical method determined by the Administrator,
in the Administrator's discretion, to be at least as effective" (Section 182(c)(2)(A)). This
requirement can be met through applying EPA-approved modeling techniques for SIP revisions.1
The Urban Airshed Model is recommended for modeling applications involving entire urban
areas.
Serious areas generally must meet all requirements of moderate ozone nonattainment
areas. As previously discussed, moderate areas are required to provide for reductions in VOC
and NOX emissions "as necessary to attain the national primary ambient air quality standard for
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ozone" (Section 182(b)(l)(A)). To determine the "necessary" emission reductions, an attainment
demonstration is generally required by November 1993, if a photochemical grid model is not
used. Serious (and higher) areas, however, must complete photochemical grid modeling analyses
and have longer attainment deadlines. In consideration of the additional time necessary to gather
data to support and to perform a grid modeling analysis, Congress provided an additional year
for serious (and higher) areas to submit their demonstrations of attainment. Due to Congress'
allowance of this additional year, EPA believes that the Section 182(c) requirement for serious
and higher ozone nonattainment areas to submit photochemical grid modeling by November 1994
supersedes the attainment demonstration otherwise applicable under Section 182(b).
2.6 USEOFE-GAS
In developing strategies for complying with the CAAA deadlines, States will examine an
array of complex compliance strategies, and will estimate the impact of these strategies on future
ozone air quality in nonattainment areas. These assessments will be accomplished by first
estimating future emissions of VOC, NO,, and CO, (all ozone precursors) and then estimating
ambient air quality impacts with atmospheric chemistry models such as the Urban Airshed Model
and the Regional Oxidant Model. Emission forecasts, which are a critical component in both
UAM and ROM analyses, will be estimated both on the anticipated effectiveness of emission
control strategies and on national and local economic growth assumptions.
The primary purpose of E-GAS is to allow State and EPA staff to forecast future growth
in the activity levels of ozone precursor emissions sources. These activity growth estimates can
then be used to project future activity levels and conduct control strategy analyses using emission
estimation models. E-GAS will estimate source-specific growth factors which can serve as input
to the Emissions Preprocessor System (EPS) for UAM, which was developed by the Office of
Air Quality Planning and Standards. E-GAS estimates economic growth projections, employment
growth projections, growth in production and energy consumption, changes in demographic
variables, and other parameters. Outputs from the model were developed in a format that is
compatible with AIRS formats, so that it is possible to use E-GAS outputs to grow AIRS
emission inventories.
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2.7 SYSTEM REQUIREMENTS
Requirements for E-GAS have been organized into the following categories:
Functional requirements - Capabilities identified by customers that could be provided by
the system which can directly support control strategy development activities.
System attributes - General operating requirements describing user interaction with the
system.
2.7.1 Functional Requirements
The functional requirements discussed hi this section are those that have been suggested
by customers that could directly support control strategy development.
Output is in a form consistent with the Emission Preprocessor System (EPS). EPA has
already developed EPS to manipulate the emission inventory data provided by a State to make
them usable for UAM inputs. E-GAS outputs are also hi a generic ASCII file that can be input
into AIRS and other systems.
2.7.2 Required System Attributes
In addition to the functional requirements previously described, the following system
attributes have been identified.
2.7.2.1 Easy Data Entry
The need for simple data entry for front-line personnel was identified since data entry
personnel are often responsible for entering only a small subset of data, specific to then- function.
They need to be able to quickly view, edit, and update only those data that are important to them,
instead of scrolling through dozens of screens hi order to locate the five or six data elements that
they need to update. Customized user-views of the data are needed to present only pertinent
information to front-line data entry personnel.
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2.7.2.2 User Friendly
In addition, user friendliness and state-of-the-art help features are important since users
are accustomed to PC-type help features (or the help features in a system such as TRIS), such
as the use of the Fl key for field sensitive help, pop-up tables to identify codes and descriptors,
on-line look-up tables to identify acronyms and descriptors, and standard query languages. Users
consider these features critical to the successful use of the system.
2.7.2.3 Quality Assurance
A variety of quality assurance (QA) tools will be needed by State agencies to verify that
data reported by industry are both complete and correct. Typical types of data QA tools would
include edit checks, completeness checks, and reasonableness checks.
2.7.2.4 Data Security
In terms of data security, States often bear the prime responsibility for ensuring that
confidential information supplied by industry is protected. Extreme precautions are needed to
guard against unauthorized access.
2.7.2.5 State-owned Data
States often collect and use data for their own purposes and do not want EPA personnel
to have access to these data. A capability must exist to allow States to protect State-owned data
if desired.
2.8 CONCLUSIONS
The statutory requirements for Rate-of-Progress plans and demonstrating attainment
clearly point to the need for a system which will project activity growth factors. E-GAS was
developed to serve that purpose and to aid State and local agencies in the development of their
control strategies for meeting those requirements.
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emissions projection guidance also indicates that for the purposes of projecting SIP inventories,
States are expected to use earnings, value added, or product output data.1
3.2 POINT SOURCES
3.2.1 EPA Point Source Projection Guidance
Sources of information for projecting point source emissions include the facilities where
the sources are located and local planning agencies. The permit application process may also
yield information on planned construction or expansion of existing capacity.2 However, the
emission projection guidance suggests that plant-specific surveys may not always be a reliable
source of information because much of the information that is relevant to emission projections
(e.g., growth or decline in output, plans for expansion) may be confidential. EPA suggests that
a survey of individual point sources only be performed if the following certain circumstances
apply: (1) the industry is a dominant industry in the region; (2) the industry's growth may not
be captured in the regional projections; and (3) it is expected that the industry may experience
significant growth or decline.1 Finally, emissions growth at a plant may be projected from
information obtained for other point sources in that area and category. This procedure uses a
growth trend developed from information from a group of facilities and applies it to a facility for
which there is no available information.
When information is not available from plants, permit applications, or local planning
agencies, projected economic variables may be used to estimate emission source growth. These
factors were previously discussed in Section 1.4.
3.2.2 E-GAS Point Source Growth Factors
E-GAS will be used to project the AIRS point source inventories which are housed in the
AIRS Facility Subsystem (AIRS/FS). These projected inventories will be used in photochemical
grid modeling and RFP inventories. Because the AIRS/FS inventories will be projected on a
source-specific basis, the user will be able to choose each growth factor. For example, if a user
has information from permits or plant surveys about the expected growth of a point source, the
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user may use that information to predict future growth of that source within E-GAS. The ability
of the user to override default growth factors may be most important for electric utilities, which
are permitted sources and are major emitters of NOX. E-GAS produces default growth factors
for commercial and industrial energy consumption, fuel consumption by electric utilities, and
physical output by Bureau of Labor Statistics code, which represent groups of three- and four-
digit SICs. These growth factors are then translated, via the E-GAS CROSSWALK, into default
growth factors by SCC. Because there is no direct linkage between E-GAS and AIRS, users may
alter the E-GAS growth factor file based on information that they have on specific emission
sources.
E-GAS uses the following information for projecting point source growth factors:
1. Value added estimates for 210 non-farm industrial categories
2. Physical output estimates for some major VOC-emitting sources
3. Estimates of fuel consumption by type of fuel for the commercial, industrial, and electric
utility sectors
The CROSSWALK, which translates economic and energy consumption forecasts into
activity growth by SCC, is discussed in detail in Chapter 9.
3.3 AREA SOURCES
3.3.1 EPA Area Source Projection Guidance
The major difference between area and point source projection is the need for the area
source growth to be allocated to grid cells. E-GAS does not project growth factors by grid cell,
but provides area source growth factors for each nonattainment area, the remaining portion of
surrounding State(s), and each State in one of the ROM domains. However, it is beyond the
scope of this portion of the projection methodology to allocate these growth factors to sub-MSA
areas.
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EPA guidance on projecting inventories includes growth indicators for area sources.
These indicators are listed in Table 3-1, along with potential information sources provided by
EPA. Because area sources are not individually projected, information from permits or specific
plants cannot be used directly. Local studies or surveys, however, may provide information that
can be used to develop surrogate growth factors.1
3.3.2 E-GAS Area Source Growth Factors
Growth indicators from the Procedures for Preparing Emissions Projections1 are listed
in Table 3-1. In Table 3-2, these indicators are listed along with E-GAS outputs which can be
used as growth factors. As Table 3-1 shows, metropolitan planning organizations (MPOs) will
probably be the best source of information for some of these sources. There are sources for
which E-GAS does not provide growth factors because there are no outputs from E-GAS which
match or can approximate a recommended EPA growth indicator. These sources are primarily
biogenic sources. When there is no appropriate growth factor for a source, E-GAS assigns a
factor of 1.0 (no growth).
E-GAS uses the following information for projecting area source categories:
1. Value added estimates for 210 non-farm industrial categories
2. Physical output estimates for some major VOC-emitting sources
3. Estimates of fuel consumption by type of fuel for the commercial, industrial, and electric
utility sectors
4. Vehicle miles travelled
5. Population
Each emission source in the AIRS Area and Mobile Source (AIRS/AMS) inventories is matched
by the CROSSWALK with the appropriate growth factor. These growth factors correspond to
the E-GAS outputs identified in Table 3-2. As with the point sources, the user may override an
SIC or SCC growth factor and enter his/her preferred value.
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TABLE 3-1. EPA GROWTH INDICATORS FOR PROJECTING EMISSIONS
FOR AREA SOURCE CATEGORIES1
Source Category
Growth Indicators
Information Sources
Gasoline Marketing
Dry Cleaning
Degreasing (Cold Cleaning)
Architectural Surface Coating
Automobile Refinishing
Small Industrial Surface Coating
Graphic Arts
Asphalt Use - Paving
Asphalt Use - Roofing
Pesticide Applications
Commercial/Consumer Solvent Use
Publicly Owned Treatment Works
(POTWs)
Hazardous Waste Treatment,
Storage and Disposal Facilities
(TSDFs)
Municipal Solid Waste Landfills
Residential Fuel Combustion
Commercial/Institutional Fuel
Combustion
Industrial Fuel Combustion
Aircraft (Commercial and General)
Aircraft, Military
Railroads
Ocean-going and River Cargo
Vessels
Vessels, Small Pleasure Craft
Off-Highway Motorcycles
Agricultural Equipment
projected gasoline consumption
population; retail service
employment
industrial employment
population or residential dwelling
units
industrial employment
industrial employment
population
consult industry
industrial employment; construction
employment
historical trends in agricultural
operations
population
site-specific information
State planning forecasts
State waste disposal plan
residential housing units or
population
commercial/institutional
employment; population
industrial employment (SIC 10-14,
50-51); or industrial land use
site-specific forecasts
site-specific forecasts
revenue ton-miles
cargo tonnage
population
population
agricultural land use; agricultural
employment
MOBILE4 fuel consumption model
solvent suppliers; trade associations
trade associations
local Metropolitan Planning
Organization (MPO)
BEA
BEA
State planning agencies; local MPO
consult industry
local industry representatives
State department of agriculture;
local MPO
local MPO; State planning agencies
State planning agencies
State planning agencies; local MPO
local MPO; State planning agencies
local MPO
local MPO; land use map
projections
'local MPO; land use projections;
State planning agencies
local airport authority and
commercial carriers
local airport authorities; appropriate
military agencies
American Association of Railroads
and local carriers
local port authorities; U.S. Maritime
Administration; U.S. Army Corps
of Engineers
local MPO
local MPO
local MPO; Census of Agriculture
(continued)
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TABLE 3-1. EPA GROWTH INDICATORS FOR PROJECTING
EMISSIONS FOR AREA SOURCE CATEGORIES (continued)
Source Category
Growth Indicators
Information Sources
Construction Equipment
Industrial Equipment
Lawn and Garden Equipment
On-site Incineration
Open Burning
Fires: Managed Burning,
Agricultural Field Burning, Frost
Control (Orchard Heaters)
Forest Wildfires
Structural Fires
industry growth (SIC Code 16)
industrial employment (SIC codes
10-14, 20-39, 50-51) or industrial
land use areas
single-unit housing
based on information gathered from
local regulatory agencies
based on information gathered from
local regulatory agencies
areas where these activities occur
historical average
population
local MPO
local MPO
local MPO
local regulating agencies and MPO;
State planning agencies
local agencies; State planning
agencies; local MPO
U.S. Forest Service, State
agricultural extension office
local, State, and federal forest
management officials
local MPO; State planning agencies
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TABLE 3-2. E-GAS GROWTH FACTORS FOR PROJECTING AREA
SOURCE EMISSIONS
Source Category
Growth Indicators from
Procedures for Preparing
Emissions Projections '
Relevant E-GAS Growth Factors
Gasoline Marketing
Dry Cleaning
Degreasing (Cold Cleaning)
Architectural Surface Coating
Automobile Refinishing
Small Industrial Surface Coating
Graphic Arts
Asphalt Use - Paving
Asphalt Use - Roofing
Pesticide Applications
Commercial/Consumer Solvent Use
Publicly Owned Treatment Works
(POTWs)
Hazardous Waste Treatment,
Storage and Disposal Facilities
(TSDFs)
Municipal Solid Waste Landfills
Residential Fuel Combustion
Commercial/Institutional Fuel
Combustion
Industrial Fuel Combustion
On-site Incineration
Open Burning
Fires: Managed Burning,
Agricultural Field Burning, Frost
Control (Orchard Heaters)
Forest Wildfires
Structural Fires
projected gasoline consumption
population; retail service
employment
industrial employment
population or residential dwelling
units
industrial employment
industrial employment
population
consult industry
industrial employment; construction
employment
historical trends in agricultural
operations
population
site-specific information
State planning forecasts
State waste disposal plan
residential housing units or
population
commercial/institutional
employment; population
industrial employment (SIC 10-14,
50-51); or industrial land use
value added in petroleum refinery
value added in laundry and cleaning
services
value added in specific industry
population
value added in automobile repair
value added in specific industry
value added in commercial printing
value added in asphalt, paving, and
roofing materials
value added in asphalt, paving, and
roofing materials
value added in non-manufacturing
services
population (consumer)
value added in sanitary services
population
population
estimate from E-GAS fuel module
commercial fuel consumption
estimates from E-GAS fuel module
industrial fuel consumption
estimates for 2-digit SICs from
E-GAS fuel module
based on information gathered from population
local regulatory agencies
based on information gathered from population
local regulatory agencies
areas where these activities occur —
historical average
population
population
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3.3.3 E-GAS Nonroad Growth Factors
The full text of the EPA guidance on projection of emissions from nonroad sources may
be found in an EPA memo entitled "Guidance on Projection of Nonroad Inventories to Future
Years,"6 dated February 4, 1994. This guidance builds on a previously released report7 and
subsequent development of nonroad inventories for use in 33 ozone and/or carbon monoxide
nonattainment areas. These inventories were estimated as a product of equipment populations,
activity rates and emission factors.
EPA guidance recommends that states use one of the following five alternative
methodologies to project nonroad inventories:
1. Project the original or state-modified (A+B)/2 inventory for 1990 to future years
by projecting the indicator variables used to estimate the population and activity
level of each engine-equipment type within the current A inventory.
2. Develop surrogates for the indicator variable(s) used to develop equipment
populations estimates for inventory A and use projections of the surrogate
variables to project the indicator variables required under the first approach.
3. Project the 1990 inventory by multiplying 1990 emissions by the ratio of future
to 1990 human population within the same nonattainment area.
4. Project the 1990 inventory by multiplying 1990 emissions by the growth factors
developed for E-GAS.
5. Project the 1990 inventory by using other projected data on equipment populations
and activity levels specific to the nonattainment area in question in conjunction
with EPA-provided in-use emission factors.
Within E-GAS, the surrogate indicators for nonroad sources are value added or population as
identified hi Table 3-3.
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TABLE 3-3. E-GAS SURROGATE INDICATORS FOR PROJECTING GROWTH IN
NONROAD SOURCES.
Source Category
Relevant E-GAS Growth Factors
Agricultural Equipment
Aircraft
Airport Service Equipment
Commercial Marine
Construction Equipment
Industrial Equipment
Lawn & Garden Equipment
Light Commercial Equipment
Logging Equipment
Military Vessels
Railroads
Recreational Equipment
Recreational Marine
Value Added: Farm
Value Added: Air Transportation
Value Added: Air Transportation
Value Added: Water Transportation
Value Added: Construction
Value Added: Durable & Nondurable Mfg.
Population
Value Added: Retail, Wholesale, Services
Value Added: Logging
Total Government
Value Added: Railroad Transportation
Population
Population
While these indicators appear to be the most appropriate considering the general application of
E-GAS, other area-specific factors may influence growth in these nonroad categories. For
example, water surface area constraints may affect growth in marine vessel use, and population
density and climatic conditions may affect emissions from lawn and garden equipment.
3.4 MOBILE SOURCES
3.4.1 EPA Guidance on Projection of Mobile Sources
EPA guidance on projection of mobile source emissions can be found in Procedures for
Preparing Emissions Projections.1 This guidance covers highway vehicles as well as some non-
highway mobile sources (aircraft and railroads). Additional guidance specific to highway mobile
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source inventory forecasting and tracking for CO nonattainment areas is contained in Section 187
VMT Forecasting and Tracking Guidance*, a document required by Section 187 of the Clean Air
Act Amendments. These two documents discuss the same basic methods and sources for mobile
source projections. In order of preference, these include:
1.
2.
3.
Use of projections based on a network-type travel demand model for the area of concern
Use of projections based on data generated by the Federal Highway Administration
(FHWA) Highway Performance Monitoring System (HPMS) for the subject area
Use of "any reasonable methodology" for areas not covered by HPMS
Details on the information presented in the two guidance documents are discussed below.
The Procedures for Preparing Emissions Projections1 states that the preferred method for
performing VMT projections for on-road mobile sources is to use a validated travel demand
model. Travel demand models are locality-specific computerized models which simulate travel
on a network representing an area's transportation system. The number of cities with a current
travel demand model is limited and there are many nonattainment areas without such models.
Resources involved in developing a model are substantial, and creating a model for inventory
purposes alone may not be warranted. For areas that do not have a validated travel demand
model, this guidance permits VMT projections to be based on the FHWA's HPMS. For areas
outside the domain of a travel demand model and/or HPMS reporting area, the use of an
historically-based extrapolation method is allowed. An example trend projection method,
requiring the quantifying of road mileage and associated VMT, is outlined; however, details on
these methodologies are not provided.
The Section 187 VMT Forecasting and Tracking Guidance* makes the following specific
recommendations for procedures for CO nonattainment areas, distinguishing between the baseline
inventory, forecasting and estimates to be made in the future for tracking purposes. Only the
forecasting requirements are directly relevant to the projections of concern to E-GAS, but the
other requirements are included for clarity.
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7990 Baseline CO Inventory Use of HPMS to develop the 1990 baseline CO
inventory, with alternate use of a travel demand model permitted only if the model
available is believed to be strong and the HPMS data for the area are weak and
only after receiving approval from EPA.
VMT Forecasting Preferred use of a travel demand model to forecast VMT, based
on the assertion that these models are the best predictors of VMT growth (but not
necessarily of absolute VMT). If a model cannot be made available, an "historical
area-wide VMT" method can be used, based on a regression analysis of the area's
1985 to 1990 HPMS-reported data. However, States forecasting beyond 1996 are
required to use a travel demand forecast. States may use "any reasonable
methodology" to forecast VMT for the portion of the VMT Tracking Area outside
of the Federal Aid Urbanized Area.
VMT Tracking Annually, beginning in 1993, estimates of actual VMT for each
CO nonattainment area are to be made for tracking against the forecast VMT.
Since repeated use of a travel demand model is very costly, EPA recommends use
of each year's HPMS data for tracking.
Specific guidance has not been issued for forecasting and tracking mobile source emissions in
ozone nonattainment areas, but it is stated in the CO guidance8 that these procedures, when
issued, "are expected to be consistent" with the CO guidance described above.
Guidance for SIP inventory projections for nonhighway mobile sources1 is as follows.
For aircraft, major commercial airports should be surveyed individually to determine their
specific growth plans. The best source of information on potential growth in rail travel is the
railroad companies themselves, along with the American Association of Railroads. Similar
sources are recommended for obtaining data on projected growth in commercial water vessel
activity. Guidance on gasoline marketing provides fuel efficiency ratios that allow forecasting
based on fuel economy changes due to fleet turnover, as well as changes in the total number of
vehicle miles traveled in the area under consideration.
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3.4.2 E-GAS Highway Source Growth Factors
Although the first choice in the EPA VMT projection guidance is the use of
locality-specific travel demand models, it is beyond the scope of E-GAS to include these models
in the system. The main difficulties are the variety of model types and data formats, and the
amount of interaction that would be required to accomplish this task for the relatively small
number of areas with current travel demand models. The system, however, includes the
capability to insert area-specific modeling results from travel demand models. When this option
is chosen, results from the E-GAS VMT module are replaced by user-specified growth factors.
The user may provide an overall VMT growth estimate, VMT estimates by road type, or VMT
estimates by road and vehicle type.
To conform with the next level of the EPA guidance, the E-GAS mobile source projection
method through 1996 is based on Federal Aid Urbanized Area HPMS data for 1985 to 1990.
The methodology uses regression analysis of these data to establish short-term State-level trends
in VMT. The methodology and data are discussed in detail in Chapter 8.
For projections beyond 1996, E-GAS, allocates national VMT growth as projected by the
EPA MOBILE4.1 Fuel Consumption Model to individual areas based on population growth.
For the "rest-of-State" areas outside the nonattainment areas, EPA guidance indicates that
VMT can be projected by a method such as (1) performing similar regressions of historic HPMS
State-level VMT statistics; (2) obtaining "rest-of-State" projections by subtracting out individual
projections for any cities (obtained as described above); and (3) bounding the "rest-of-State"
projection as done for the REMI cities. A discussion of the methodology used to project "rest-of-
State" VMT is presented in Chapter 8.
3.5 EPA GUIDANCE ON PROJECTING EMISSIONS FROM UTILITIES
3.5.1 General
EPA guidance on projecting emissions from electric utilities includes projection
methodologies for existing, planned, and additional electricity-generating units. The guidance
is summarized in Table 3-4.
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TABLE 3-4. ELECTRIC UTILITY NO, PROJECTIONS SUMMARY
Estimate emissions from existing units:
- determine State-level growth factors
- estimate unit-level future year capacity factors
- determine unit-level NO, control requirements
Estimate emissions from planned units:
- obtain listing of planned units
- determine most likely siting for undesignated units
- determine applicable unit-level NOX emission rates (and default data)
Estimate emissions from generic units:
- determine amount of additional generation needed (if any)
- estimate NOX emission rate
- determine siting for generic units
The guidance requires that the methodology for projecting emissions from existing units
should be based on State-level electricity growth factors, estimated unit-level capacity factors,
and unit-level NO, control requirements. The estimated unit-level capacity factors for any future
year should not exceed 80 percent, unless the 1990 capacity factor exceeded 80 percent. The
emission rate requirements should be based on the most stringent regulation (local, State, or
federal) which applies to the unit.1
For planned units, the guidance requires the use of announced plants; the Department of
Energy annually publishes a list of plants that are expected to come on line in the next ten years.
In addition, for announced plants without a designated site location, it should be assumed that
any future unit whose pollutant contribution would exceed the amounts retired in a nonattainment
area would be located outside the boundaries of the nonattainment area. The NOX emission rate
assigned to new units will depend on the year that the unit-comes on line, as future standards
[e.g., the revised new source performance standard (NSPS) for 1994] will determine the most
stringent standard which applies to the unit.1
For "generic" units (the term given to estimated future electricity generation which cannot
be met by existing or planned capacity) the fust step in calculating future emissions is the
determination of the amount of expected future generation from these units. Expected generation
from these units will equal the difference between expected demand and the amount of electricity
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that will be generated by existing and planned capacity. The NO, emission rate for these units
should be assumed to equal the revised NSPS standards required by the CAAA. These units also
need to be sited; the assumptions which should be used are the same as those for planned units,
which were discussed in the previous paragraph.
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3.6 REFERENCES
1. U.S. Environmental Protection Agency. Procedures for Preparing Emissions Projections.
EPA^50/4-91-019 (NTIS PB91-242404). Office of Air Quality Planning and Standards.
Research Triangle Park, NC. July 1991.
2. Gardner, L., L.R.Chinkin, and J.G. Heiken. Procedures for the Preparation of Emission
Inventories for Carbon Monoxide and Precursors of Ozone, Volume II: Emission
Inventory Requirements for Photochemical Air Quality Simulation Models. EPA-450/4-
91-014 (NTIS PB91-216176). Office of Air Quality Planning and Standards. Research
Triangle Park, NC. May 1991.
3. U.S. Department of Commerce. BEA Regional Projections to 2040, Volume 1: States.
Bureau of Economic Analysis. Washington, DC. 1990.
4. U.S. Department of Commerce. BEA Regional Projections to 2040, Volume 2:
Metropolitan Statistical Areas. Bureau of Economic Analysis. Washington, DC. 1990.
5. U.S. Department of Commerce. BEA Regional Projections to 2040, Volume 3: BEA
Economic Areas. Bureau of Economic Analysis. Washington, DC. 1990.
6. U.S. Environmental Protection Agency. Guidance on Projection ofNonroad Inventories
to Future Years, Memo from Phil Lorang, Director, Emission Planning and Strategies
Division, Office of Mobile Sources to Air Directors, Regions 1-10. February 4, 1994.
7. U.S. Environmental Protection Agency. Nonroad Engine and Vehicle Emission Study —
Report & Appendices. EPA 21A-2001 (PB92-104462). Office of Mobile Sources. Ann
Arbor, MI. November 1991.
8. U.S. Environmental Protection Agency. VMT Forecasting and Tracking Guidance,
Section 187. NTIS PB92-164961. Office of Mobile Sources. Ann Arbor, MI. January
1992.
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CHAPTER 4
NATIONAL AND REGIONAL ECONOMIC FORECASTS IN E-GAS
4.1 NATIONAL MACROECONOMIC MODELS
4.1.1 Overview
National macroeconomic models are used to forecast and simulate economic behavior at
the national level. These models are useful for predicting the level of future economic activity
for industries and consumers as well as explaining past economic behavior. In the public sector,
macroeconomic models are used to estimate the effects of potential and actual government
policies on the United States' economy. In the private sector, the models can be used to predict
future levels of demand for products, interest rates, and cost of factor inputs.
The E-GAS model allows the user to specify national macroeconomic forecasts rather than
allowing the user a full national economic modeling capability.1 Although E-GAS does not
contain options for allowing users to develop their own forecasts using a national economic
model, the REMI U.S. model is embedded in E-GAS. This model is included because the
regional REMI models need forecasts of specific national economic indicators. The REMI U.S.
model calibrates national forecasts specified by the user to produce the outputs necessary to run
the regional models. This calibration is performed using an interface procedure developed by
REMI to accommodate the use of various national forecasts.
E-GAS is designed such that emission projection scenarios for each nonattainment area
and attainment portion of States can be made using a common assumption about future U.S.
economic activity. This chapter discusses these assumptions, or forecasts, and provides
information on available national forecasts, their characteristics, and the role and effects of the
national forecasts on final emission projections. In addition, this chapter discusses regional
economic models and their use in E-GAS.
The role of national forecasts in E-GAS is discussed in Section 4.1.2. Section 4.1.3
compares forecasts from a REMI model of Pittsburgh using different national forecasts. In
Section 4.1.4, selected national forecasts are discussed. In Section 4.1.5, available information
on the track record of forecasts is summarized. Section 4.1.6 contains a summary of the national
4-1
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economic forecasts, while Section 4.1.7 discusses decisions regarding the choice of forecasts for
inclusion in E-GAS. Section 4.2. of this chapter focuses on regional economic models. Section
4.2.1 gives an overview of regional economic models. Section 4.2.2 discusses the REMI regional
economic models. Section 4.2.3 discusses the use of REMI models in E-GAS.
4.1.2 The Role of National Economic Forecasts in E-GAS
The use of a national macroeconomic model to drive a regional forecast model reflects
the inter-relationships between national and regional economies. National forecasts of final
demand provide estimates of national consumption demand; regional models capture the amount
of this consumption that is located in the regional economies and, perhaps more importantly, the
amount of demand that will be satisfied by each regional economy. The use of U.S. forecasts
provides consistency by assuring that regional final demands and supplies sum to the national
final demand and supply for goods and services.
The primary purpose of national economic forecasts in E-GAS is to provide a common
forecast with which to forecast regional economic growth. The nature of ozone formation
dictates that attention be paid to not only the level of economic activity, but also the location of
activity. A national forecast will provide an estimate of total economic activity. The regional
models will partition this activity between U.S. urban areas, States, and regions. The geographic
level of the regional forecasts will be dictated by the needs of the photochemical models used
by the ozone non-attainment areas.
The primary purpose of E-GAS is to project emission inventories for use in UAM and
ROM modeling, as well as Reasonable Further Progress inventories required by the CAAA. This
will require the use of emissions inventories, emission source growth projections, and estimates
of future emission controls. The inclusion of a national economic forecasting capability in E-
GAS allows EPA to forecast urban and regional growth under a common assumption about
national growth (i.e., GNP) and provides State users with the ability to simulate the effects of
different levels of national growth on ozone attainment regions.
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4.1.3 The Effects of the Choice of National Model on Regional Forecasts
EPA will have the capability to develop ozone precursor emission projection scenarios
for each of the nonattainment areas using a common GNP assumption. This will ensure that the
levels of estimated future VOC and NOX emissions are not based on inconsistent assumptions
about each region's growth. The REMI U.S. model and interface procedure allow the EPA and
State users to base estimates of economic growth on GNP forecasts from respected economic
firms. State users of E-GAS may use their own assumptions about national economic activity
or may base their estimates of economic growth on forecasts from respected economic firms.
EPA may then compare baseline scenarios submitted by the States with baseline scenarios
developed by EPA. The results of a study using a REMI model of Pittsburgh suggest that the
choice of GNP scenario can significantly affect regional economic, and therefore, emission
forecasts.
In the REMI regional models, growth is affected by a number of factors, including the
performance of the national economy and the relative costs of doing business in the modeled
region. The relative costs of doing business are determined endogenously, although the user may
simulate policies which would affect the relative costs in a region. The growth or decline of the
national economy, however, is determined outside of the regional model. The choice of national
forecast is left solely to the user. This choice can have a large impact on the estimates of growth
in the region being modeled.
As part of a 1989 study performed at the University of Pittsburgh, a REMI model of
Pittsburgh was run using two forecasts, the Bureau of Labor Statistics (BLS) forecast and the
WEFA forecast.2 Although the BLS forecast is in part based on the WEFA national model, the
forecasts are based on different assumptions. The BLS forecast explicitly models national
economic cycles and includes in its forecast a recession in the early 1990s. The WEFA forecast
does not try to capture cycles in the national economy but instead uses a trend forecast. A
comparison of the BLS and WEFA forecasts is presented in Table 4-1.
Table 4-2 compares the Pittsburgh forecasts produced using the BLS and WEFA forecasts.
The WEFA and BLS forecasts of United States' manufacturing employment differed by 5 percent;
this 5 percent difference resulted in a 10 percent difference in estimated manufacturing
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TABLE 4-1. COMPARISON
EMPLOYMENT
1995
OF BLS AND WEFA AGGREGATE,
FORECASTS FOR THE UNITED STATES,
Employment in Thousands
Manufacturing
Durables
Nondurables
Nonmanufacturing
Mining
Construction
Transport and Public Utilities
Retail Trade
Finance, Insurance, and Real Estate
Wholesale Trade
Services
Agriculture, Forestry, and Fishing
Total Government
State and Local Government
Federal Government-Civilian
Federal Government— Military
Farm Employment
Total Employment
US BLS
1995
18,769
11,146
7,623
98,591
1,027
7,477
6,574
23,710
11,121
6,996
40,331
1,355
20,938
15,004
3,115
2,819
3,071
141,369
US WEFA
1995
19,704
11,542
8,162
103,487
1,019
8,314
6,588
24,222
11,746
7,148
43,005
1,445
21,686
15,788
3,096
2,802
3,071
147,948
Percent
Difference
5.0
3.6
7.1
5.0
-0.8
11.2
0.2
2.2
5.6
2.2
6.6
6.6
3.6
5.2
-0.6
-0.6
0.0
4.7
employment in Pittsburgh. Over all, differences in the national forecasts were magnified hi the
forecasts of economic behavior hi Pittsburgh. There are two important issues to note:
1. The BLS and WEFA forecasts both use the WEFA model as a basis for then- projections
of U.S. economic activity. However, the use of different assumptions, including the
inclusion of business cycles hi one of the forecasts, resulted in an almost 5 percent
difference in the forecasts of total employment in 1995. The differences hi the two
forecasts for the construction sector were over 11 percent2.
2. The almost 5 percent difference in estimates of total national employment was magnified
into a 7.6 percent difference hi the estimates of total employment in Pittsburgh. The
sensitivity of the Pittsburgh estimates to the national estimates held for all sectors. The
national forecasts of manufacturing and non-manufacturing employment differed by
5 percent. The Pittsburgh forecasts for these sectors differed by 9.8 and 7.9 percent,
respectively.2
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TABLE 4-2. COMPARISON OF BLS AND WEFA AGGREGATE,
EMPLOYMENT FORECASTS FOR THE PITTSBURGH REGION,
1995
Manufacturing
Durables
Nondurables
Nonmanufacturing
Mining
Construction
Transport and Public Utilities
Retail Trade
Finance, Insurance, and Real Estate
Wholesale Trade
Services
Agriculture, Forestry, and Fishing
Total Government
State and Local Government
Federal Government-Civilian
Federal Government— Military
Farm Employment
Total Employment
PGH BLS
1995
129,658
85,343
44,315
913,441
6,518
61,316
57,912
224,329
82,331
66,567
409,846
4,621
129,756
95,970
20,070
13,716
8,431
1,181,285
PGH WEFA
1995
142,426
93,947
48,479
985,809
6,492
70,716
58,179
234,315
89,417
69,795
451,655
5,240
134,749
101,170
19,947
13,632
8,431
1,271,414
Percent
Difference
9.8
10.1
9.4
7.9
-0.4
15.3
0.5
4.5
8.6
4.9
10.2
13.4
3.9
5.4
-0.6
-0.6
0.0
7.6
4.1.4 National Macroeconomic Forecasts
This section reviews forecasts from the Council of Economic Advisors to the President;
Data Resources, Incorporated; Research Seminar on Quantitative Economics (RSQE); REMI; and
Wharton Econometrics Forecasting Associates. The emphasis of this section is on national
economic forecasts rather than the national economic models which produce the forecasts.
However, the E-GAS model plan may be consulted for brief summaries of the modeling
techniques, input assumptions, and theoretical rationale of the national economic models used by
REMI; Data Resources, Incorporated; and the U.S. Bureau of Labor Statistics.1
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1
4.1.4.1 The REMIUS. Forecast
Regional Economic Models, Inc. has developed a U.S. model for use in a national and
regional economic forecasting and simulation framework. Regional models developed by REMI
include models for each of the 50 States, as well as sub-national (region, State, or sub-State area)
models as requested by clients. The REMI U.S. forecast is based on the BLS Trend-2000
forecast and will be referred to as the REMI/BLS forecast for the remainder of this report. The
BLS forecast also provides "fundamental information" for use in the REMI national and regional
models. This information includes historical and forecast data about technologies employed by
specific industries and the resulting "production recipe" (the type and amount of inputs) and inter-
industry relationships.3 The information on technology for each industry, which is implicit in the
production recipe, is contained in the U.S. input-output tables in the Trend-2000 forecast. These
input-output tables capture the niter-industry relationships in 1982 and 1986, and project the
relationships for 2000. The input-output tables are used to determine the technical coefficients
matrix for each industry. The technical coefficients represent the amount of intermediate goods
(e.g., products from other industries, fuel) required to produce a given amount of output from
each industry.
The methodology for projecting U.S. final demand by industry relies on the creation of
technical coefficients matrices for each historical and forecasted year. This methodology involves
developing an input-output model for the years for which BLS provides input-output accounts
(1982,1986, and 2000).3 The BLS forecasts include employment and output by industry, as well
as Gross National Product (GNP). The final demand components of the BLS forecast are used
to drive the input-output models, resulting in a prediction of intermediate demand for and output
by industries. The REMI national model may also take forecasts from other national economic
models to project industry-specific output estimates. The use of other forecasts to drive the
REMI national model will be discussed in a later section.
4.1.4.2 Council of Economic Advisors
The Council of Economic Advisors (CEA) was established by Congress through the
Employment Act of 1946 to provide economic advice and analysis to the President. Each year,
the CEA submits an annual report on the state of the U.S. economy; this report is contained in
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the Economic Report of the President (ERP)*, which is delivered to Congress in February of each
year.
The CEA provides the Administration with forecasts of the major components of
economic growth. These projections "are not intended to be year-to-year forecasts; rather, they
are meant to reflect underlying economic trends and Administration policies".4 The forecasts
cover a five-year period and project growth or decline in real GNP, real compensation per hour,
output per hour (productivity), inflation, employment and unemployment, and are accompanied
by a short essay from the President and a report by CEA staff on economic issues of the past
year.
E-GAS users may formulate regional economic forecasts using GNP forecasts. The REMI
national forecast uses information from the Bureau of Labor Statistics* fifteen-year forecast This
forecast serves as the default national forecast for the REMI regional models. Thus, the GNP
projections reported in the ERP could be included as an option for E-GAS users because the
REMI national-regional interface can calibrate the REMI national forecast to a user-specified
GNP. The ERP does not forecast final demand components, so the forecasts cannot be used to
provide a detailed alternative forecast for E-GAS users. The CEA projections are available to
E-GAS at no cost and could be updated annually. The CEA forecasts do not include other
variables required by E-GAS such as housing starts and energy prices; forecasted values of these
variables must be taken from other sources.
4.1.4.3 Data Resources, Inc. (DRQ
The DRI quarterly forecasts contain over 1200 variables. The forecasts include short- and
long-term forecasts. The long-term forecasts typically extend IS years, but DRI will produce
longer forecasts at a client's request. Each forecast is released with an accompanying report
which explains the forecast assumptions and results for various sectors of the U.S. economy.
These forecasts may be purchased separately or may be received as part of a yearly subscription.
A subscription includes forecasts and publications, as well as client support and on-line access
to DRI economic databases.5
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The DRI quarterly model houses the 1200 model equations in ten major sectors:
1. private domestic spending 6. inflation and productivity
2. production and income 7. supply
3. government 8. expectations
4. international transactions 9. population
5. financial 10. aggregates and miscellaneous
The forecasts are issued with an accompanying report which discusses the forecast results,
reviews the sector results, and provides tables detailing the sector forecasts. Three forecasts are
released: base case, low, and high forecasts.5
Housing and energy variables in the forecast include energy production, demand, taxes,
and price variables, and existing housing stock, start, and price variables.
The REMI models may be run using 92 forecasted variables from DRI. These 92
variables include 25 final-demand variables. Other variables in the DRI forecasts which may be
used in E-GAS include energy and housing variables. The DRI quarterly model forecasts nine
categories of energy variables including energy price, spending, and production variables. The
model also forecasts housing variables including housing starts, sales, stocks, and prices.
4.1.4.4 Research Seminar in Quantitative Economics (RSQE)
RSQE declined to participate in supplying forecasts for E-GAS.
4.1.4.5 Wharton Econometric Forecasting Associates (WEFA)
The WEFA Group produces short- and long-term economic forecasts of U.S. economic
activity. The short-term forecasts range from 10 to 13 quarters (2.5 to 3.25 years) and are issued
monthly. The long-term forecasts are 25-year forecasts which are issued quarterly. In addition
to the baseline short-term forecast, the WEFA Group provides two alternative forecasts focusing
on macroeconomic risks and their probable effects on industries. The 25-year forecasts include
trend, cycle, and two alternative forecasts.6
The WEFA Group uses Mark 9, a quarterly economic model developed at WEFA, to
produce its short- and long-term forecasts. The model is comprised of over 1200 equations and
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contains a "satellite" industry model which produces detailed industrial forecasts using outputs
from the core macroeconomic model.7 The Mark 9 model contains nine major sectors:
1. personal consumption expenditures 6. labor market
2. fixed investment 7. wages and prices
3. inventory investment 8. financial market
4. government 9. income
5. international trade
Variables in the model include consumption, investment, income, and inflation data from the
National Income and Product Accounts; population, employment, and wage rate data from the
BLS; industrial production data from the Federal Reserve Board; and demand, production, and
price data for the auto, housing, and energy sectors of the economy.7
The long-term economic forecasts are issued in a two-volume report. The first volume
of the report covers the trend or .moderate growth scenario and contains an overview of the
forecast results and detailed sector reviews of the population, housing, investment, government,
inflation, labor market, industrial activity, and energy forecasts in addition to tables detailing the
sector forecasts.7
The REMI models may be run using 92 forecasted variables from WEFA. These 92
variables include 25 final demand variables. WEFA also forecasts housing and energy variables
which may be used in E-GAS development and simulations. Mark 9 forecasts detailed energy
price, supply, demand, and consumption variables. The model also forecasts housing variables
including housing starts, sales, stocks, and prices. A REMI interface for WEFA data has been
developed and tested.
4.1.5 Forecasting Records of the Models
Rating the track records of economic forecasters is difficult. There is no systematic
method for comparing the records of economic forecasters; the availability of published forecasts
varies and the forecasts often contain different variables.8'9 When forecast comparisons are
published, they often neglect the track record of newer or lesser-known forecasters. However,
published comparisons do exist; these will be summarized in this section.
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In the effort to compare forecasts, each of the forecasters discussed in Section 4.1.4 was
contacted and a literature search of all journal articles on economic forecasting published between
1984 and 1991 was performed. DRJ did not provide any materials on forecasting history. RSQE
declined to participate in providing information. WEFA provided a copy of a forecast for 1990
to 2005 along with the accompanying report provided to subscribers, but did not provide a
forecast history or materials comparing their forecasts with other forecasts.
This section will focus on the forecasting records of DRI and WEFA for two reasons.
First, the other forecasts examined in Section 4.1.4 are not appropriate for inclusion in E-GAS
for reasons discussed in that section. Second, published comparisons on the track records of the
forecasters were found for DRI, WEFA, and CEA, but not for RSQE.
A 1987 study of the forecasting records of fifteen of the "best-known forecasters" ranked
the forecasters according to the percentage of absolute error (i.e., the absolute value of the
difference between the forecast and actual values as a percent of actual value) for four
commonly-forecast economic indicators: GNP, Consumer Price Index (CPI), unemployment rate,
and three-month Treasury Bill rate. The forecasters were rated for each year from 1983 to 1986
and were awarded an overall ranking based on the sum of the errors for the four indicators for
the four-year period. The fifteen forecasts ranked included forecasts from DRI and WEFA. Two
government forecasters, the Congressional Budget Office (CBO) (the Congressional economic
agency) and Office of Management and Budget (OMB) are included in the rankings.8 OMB, like
the Council of Economic Advisors, is controlled by the President and Executive Branch. The
forecast provided by CEA for the annual Economic Report of the President* was not included in
the rankings, nor were forecasts from RSQE.
DRI and WEFA ranked first and second, respectively, while CBO ranked fourth and OMB
ranked fifteenth. The third-rated forecaster, DuPont, is not discussed in this report because it is
not on the list of potential forecasters for E-GAS. Although DuPont's track record for 1983-86
is strong, it is probably not appropriate to use an industry forecaster for E-GAS. The score for
DRI for the four-year period was 2.898, which translates into a total error of 290 percent for the
four indicators for the four years. This implies an average error of 18.1 percent per indicator per
year. The cumulative error for the WEFA forecast was 293 percent, implying an average error
of 18.3 percent per indicator per year.8 The difference between the average errors of the forecast
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is one percent. The average error of the CBO and OMB forecasts was 19.6 and 34.0 percent,
respectively.
Another study, published in 1988, compared DRI, WEFA, and Chase Manhattan forecasts
of GNP and CPI for the years 1980 through 1984 (Chase Manhattan's forecasting division is not
discussed because it has merged with WEFA). WEFA had the lowest forecast error in 1981,
1982, and 1983 while DRI had the lowest forecast error in 1984. Again, the difference in the
forecast errors between WEFA and DRI was about one percent.10
Finally, a related study concerning the bias in government forecasts was examined. The
forecasts released by CEA, as mentioned in Section 4.1.4.2 of this report, are "not intended to
be year-to-year forecasts; rather, they are meant to reflect underlying economic trends and
Administration policies." As such, these forecasts are sometimes characterized as biased or
optimistic. Based on a statistical analysis of GNP, CPI, and unemployment forecasts from CEA
and CBO for the 1976 to 1987 period, it was concluded that the null hypothesis that the forecasts
are unbiased could not be rejected, i.e., the study did not find evidence that the forecasts were
biased.11
4.1.6 Summary
This chapter is intended to summarize the characteristics of macroeconomic forecasts from
CEA, DRI, RSQE, and WEFA. Table 4-3 summarizes the relevant information on the forecasts.
This table includes length of forecast, and variables included in the forecast. The REMI national
forecast, which uses information from the BLS 15-year forecast, is included in the table. This
forecast is referred to as the REMI/BLS forecast in Table 4-3.
The BLS forecast, from which the REMI national model extracts information for
developing a national forecast, is a 15-year forecast which is updated every 2 years. Because the
forecast is in the public domain, there is no cost for using it. The latest forecast was released
in November, 1991; this bi-annual forecast will not be updated by BLS until November, 1993.
REMI, however, updates its forecast by including national data from the Bureau of Economic
Analysis when data become available each year.
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TABLE 4-3. SUMMARY OF ECONOMIC FORECASTS SURVEYED
Final Housing,
Number of Length of Proprietary Demand Energy
Forecast Release Forecasts Forecast Response Issues Variable Variables
REMI/BLS
CEA
DRI
RSQE
WEFA
'Can be extended
Bi-annual
Annual
Quarterly
N/A
Monthly/
Quarterly
at client's request.
1 15 years
1 5 years
3 15 years'
N/A N/A
4 25 years
N/A
N/A
D
D
A
N/A
N/A
Uncertain
N/A
No
Y
N
Y
N/A
Y
N
N
Y
N/A
Y
The CEA forecast published in the Economic Report of the President extends five years
and, therefore, could be used by E-GAS users whose forecast horizons are five years or less. The
forecast does not contain final demand variables or housing and energy forecasts. The forecast
contains assumptions about the Administration's policies and their effects and is not intended as
a "year-to-year forecast." The forecast's short forecasting period and purpose make it an
inappropriate choice for an alternative forecast for E-GAS. However, if CEA forecasts were
chosen as a national forecast for E-GAS, EPA could request forecasts for a longer time horizon.
CEA has developed a 40-year forecast of general economic indicators such as GNP and
productivity growth which could be used in E-GAS if the forecast were updated annually and
released to EPA.12 However, other characteristics of CEA forecasts (purpose, lack of final
demand variables) indicate that, even if longer forecasts could be secured, CEA is not a good
choice for a national forecast to drive E-GAS.
The DRI forecast, though typically IS years, may be extended at a client's request. The
forecast provides three scenarios (low growth, base case, and high growth) and contains housing
and energy variables which could be used in the growth factor tier of E-GAS. A yearly
subscription includes quarterly forecasts and reports, on-line access to DRI economic databases,
and client support. Finally, the participation of DRI as a supplier of national forecasts for E-GAS
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may be considered a conflict of interest with other groups at DRI. Due to these problems, DRI
is not included in E-GAS.
The Research Seminar in Quantitative Economics at the University of Michigan was
contacted for information on their model and forecasts. The Director of RSQE declined to
participate in providing information or to be considered as a source for national forecasts for
E-GAS.
The WEFA long-term forecast extends 25 years and contains four scenarios: low growth,
base case, high growth, and cyclical growth. The cyclical growth forecast has recessions for
1991 and 1996 built into the forecast. The forecast contains final demand variables, as well as
housing and energy variables. The yearly subscription price is $18,200 and includes four
quarterly long-term forecasts and accompanying reports explaining the forecasts, monthly short-
term forecasts, on-line access to WEFA economic databases, two on-site presentations by WEFA
senior staff, an annual historical data book, and invitations to two of the four yearly U.S.
Economic Outlook Conferences. The use of WEFA forecasts in E-GAS will not involve
proprietary issues as WEFA allows subscribers to use purchased forecasts as a tool for analysis;
proprietary rights are a concern to WEFA only if the forecasts are being used by a client for
monetary gain.6
4.1.7 Conclusions
Sections 4.1.4 and 4.1.5 of this chapter summarized the characteristics and track record
of selected model forecasts. Summaries were developed from information provided by forecast
vendors, conversations with personnel at the forecasting firms, and journal articles discussing
forecasts and track records of the best-known forecasters. Based on this information, it is
concluded that the forecasts most appropriate for use in E-GAS are those provided by WEFA.
A first-generation E-GAS model was completed on September 30,1992. This model was
sent to States for testing, but did not include the individual regional economic models being
developed by REMI. The use of the REMI/BLS national forecasts in the first-generation model
was sufficient for testing purposes, although dummy data sets for other national forecast options
were included to allow the user to test the ease of use of the E-GAS national tier.
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This version of the model will be used by States for Reasonable Further Progress
demonstrations and photochemical modeling requirements, as specified in the Clean Air Act
Amendments of 1990. The inclusion of an up-to-date respected national economic forecast will
allow States to derive the best possible estimates of national and regional economic activity and
emission estimates.
Section 4.1.3 of this chapter compared forecasted economic activity in the Pittsburgh area
using a REMI model of Pittsburgh with different national forecasts. The comparison showed that
differences in projected national economic activity lead to even larger differences in regional
economic forecasts. This suggests that the best available national forecast should be used to
drive the E-GAS modeling system to achieve the best estimates of future emission levels for non-
attainment areas and States in ROM regions.
Final information from DRI on conflict-of-interest concerns was not received, so a
complete comparison of DRI and WEFA forecasts could not be made. Comparing the forecast
outputs and track records suggests that the better forecast for E-GAS cannot be clearly
determined. Both forecasts have very good track records and both contain over 1000 variables,
including variables which may be used in the growth factor tier of E-GAS. However, the
confirmation from WEFA personnel that the use of its forecasts would not cause proprietary or
conflict-of-interest concerns resulted in the decision that WEFA forecasts should be used to drive
E-GAS.
4.2 REGIONAL ECONOMIC MODELS
4.2.1 Overview
Regional economic models were developed by REMI for use in the E-GAS system.
Models were developed for each of the nonattainment areas and remaining (attainment) portions
of the State, as well as for each State in one of the ROM modeling regions. This detailed level
of geographic separation for economic activity is an important component of the E-GAS system,
as it will allow the user to distinguish between growth in a nonattainment area and growth in the
surrounding areas. Because the outputs of E-GAS will be used in ROM and UAM modeling, this
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ability translates into a more precise breakout between growth in UAM modeling areas and
growth in ROM modeling areas, which is important in ozone formation and transportation issues.
This type of modeling system explicitly recognizes that while ozone formation is a local
phenomenon, ozone transport is a regional phenomenon.
The economic projections from the REMI models are used to estimate growth in physical
output of industries, fuel consumption, and VMT. The estimates of nonattainment area economic
growth, along with the estimates for the remaining portions of the State(s), will be used to
estimate fuel consumption and VMT for nonattainment and attainment areas. The existing fuel
consumption and VMT models do not project sub-State estimates. The REMI outputs will allow
sub-State estimates to be extracted from State estimates of fuel consumption and VMT.
Finally, the regional models are used to simulate the effects of policies in the non-
attainment areas on the surrounding area. A policy which increases the cost of doing business
in a nonattainment area will reduce economic activity in that area. Ozone concentrations in the
area, however, will be affected less if businesses move from the nonattainment area to locations
immediately outside the nonattainment area than if businesses were to leave the region. Although
the REMI models do not specifically trace industrial movements (i.e., though economic location
decisions are implicit in the models, the models do not capture movements of businesses from
one location to another), the user will be able to examine the relative costs of doing business for
each area, and will be able to determine the net effect of a policy on an area.
4.2.2 REMI Models
The REMI models were developed by Regional Economic Models, Inc. located in
Amherst,-MA. The company was established in 1980 in response to the demand for regional
economic models for use in forecasting and policy simulation. The methodology used in building
the models pre-dates the establishment of REMI. In the mid-1970s, the methodology was
developed by George Treyz, Ann Friedlander, and Benjamin Stevens. The methodology, which
was named the TFS methodology after its authors, was implemented in 1977 in the Massachusetts
Economic Policy Analysis model, and has been used extensively since. REMI currently has
clients in over 20 States. They analyze a variety of policies including environmental,
transportation, energy, utility, and taxation policies. REMI recently developed a model for
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California's South Coast Air Basin which was used to analyze the costs and benefits of the air
quality management plan for achieving federal and State air quality standards.
REMI models can be developed for any combination of counties and States in the United
States. The standard REMI economic-demographic model (the EDFS-14) forecasts supply and
demand for conditions for 14 sectors, 17 occupations, 25 final demand sectors, and 202
age/gender cohorts.13 In addition, employment estimates are produced for 210 sectors, and value
added and earnings are forecast for 14 sectors. With the addition of (purchased) input-output and
occupation matrices, value added can be estimated for 446 sectors and employment by 585
occupations.
In addition to forecasting, the REMI models are developed to allow the user to simulate
the effects of a policy change on an area. A large variety of economic and demographic policy
variables may be changed by the user, including almost 400 economic policy variables and over
70 demographic policy variables. The effects of these results can be determined by examining
the 664 economic and 849 demographic variables which are forecast by the REMI models.
While many regional models rely solely on regional data, the REMI models use regional
and national data in their model development. The use of national data provides a longer time
series of data and a larger set of data. The national data are used to construct national
econometric response functions which can be calibrated to each region based on regional data.
The philosophy behind this approach is summarized in a description of the TFS methodology:
...there is little reason to believe mat economic units in one part of the country
have measurably different behavioral characteristics from those in another. The
differences among regions in their reactions to external event are substantial; but
they are mainly due to differences in industrial composition, regional purchase
coefficients and other variables which can be modelled, rather than to 'unique'
interregional differences in firm or household motivation and behavior.14
4.2.3 The Use of REMI Models in E-GAS
The REMI models are a key component of E-GAS. The inclusion of REMI models for
each nonattainment area, "rest-of-State" (i.e., surrounding attainment portion of the State), and
State in a ROM region provides distinct capabilities which can be used to assess emission-
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producing activity in UAM and ROM modeling areas. The REMI models and outputs will
contribute to the development of credible growth factors for future-year UAM and ROM
inventories in the following ways:
Forecasts of emission-producing activities will be developed for both the attainment and
nonattainment portions of States, allowing growth rates to differ between the rural and
urban portions of a State.
Outputs from the REMI models will be used to produce State-level estimates of fuel
consumption and VMT, and regional (sub-State) estimates of physical output.
Information on the relative economic growth rates of attainment and nonattainment
portions of States will provide a basis for sharing State-level fuel consumption and VMT
estimates.
The effects of a policy implemented in a nonattainment area on the surrounding areas can
be assessed.
The effects of different GNP assumptions on nonattainment activity and emissions growth
can be determined.
Information on local policies (e.g., tax increase) can be entered directly into the REMI
model. This ability allows users to update forecasts based on new information.
Specific linkages between REMI outputs and the fuel choice, VMT, and physical output modules
include:
REMI models supply personal income forecasts which are used as input to the fuel choice
module for estimating residential fuel consumption
REMI models supply population and personal income forecasts to the fuel choice module
for estimating commercial fuel consumption
REMI models supply forecasts of the relative costs of capital, labor, value added,
materials, and energy to the fuel choice module for estimating industrial fuel consumption
REMI models provide industry-specific employment forecasts to the physical output
module for estimating physical output
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4.3 REFERENCES
1. Lynch, T.M., T.R. Young, M.G. Smith, and E.S. Kimbrough. Design and Development
of the Economic Growth Analysis System (E-GAS), Paper presented at 2nd Annual
EPA/Air & Waste Management Association Specialty Conference, Emission Inventory
Issues and Progress, Durham, NC. October 19-22, 1992.
2. Giarratani, F. "Some Perspectives on the Value and Limitation of Long-Term Forecasts:
An Application of the Pittsburgh REMI Model," Journal of Geographic Analysis. April
1991.
3. Shao, G., and G. Treyz. Building a U.S. and Regional Forecasting and Simulation
Model. Research Paper, Regional Economic Models, Inc. Amherst, MA. 1991.
4. Council of Economic Advisors. Economic Report of the President. Government Printing
Office (transmitted to the Congress). Washington, D.C. February 1990.
5. Braman, S., Data Resources, Incorporated. Telecon with Teresa Lynch, Alliance
Technologies Corporation. May 1992.
6. Randall, T., Wharton Econometric Forecasting Associates. Telecon with Teresa Lynch,
Alliance Technologies Corporation. April 1992.
7. Wharton Econometric Forecasting Associates. Mark 9 Model Reference. The WEFA
group. Bala Cynwyd, PA. January 1990.
8. Wolf, C. "Scoring the Economic Forecasters," The Public Interest. National Affairs, Inc.
New York, NY. Summer, 1987.
9. Strongin, S. and P. S. Binkley. "A Policymakers' Guide to Economic Forecasts,"
Economic Perspectives. Volume XII, Issue 6. Federal Reserve Bank of Chicago.
Chicago, IL. November/December 1988.
10. Bretschneider, S. and L. Schroeder. "Evaluation of Commercial Economic Forecasts for
Use in Local Government Budgeting," International Journal of Forecasting. Volume 4,
Issue 1. North Holland Press. Amsterdam, 1988.
11. Belongia, M. T. "Are Economic Forecasts by Government Agencies Biased? Accurate?,"
Federal Reserve Bank of St. Louis Review. Volume 70, Issue 6. Federal Reserve Bank
of St. Louis. St. Louis, MO. December 1988.
12. Schmalensee, R. Council of Economic Advisors. "Long-Term Forecasts," memorandum
to Larry Jones, U.S. Environmental Protection Agency. June 4, 1991.
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13. Regional Economic Models, Inc. Operator's Manual for a Single Region EDFS-14
Conjoined Forecasting and Simulation Model. REMI Reference Set, Volume 2.
Amherst, MA. 1991.
14. Treyz, G., and B. Stevens. "The TFS Regional Modeling Methodology," Regional
Studies, 19(6). 1985.
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CHAPTERS
ESTIMATING FUEL CHOICE IN E-GAS
5.1 INTRODUCTION
As part of the E-GAS model system, fuel choice modules were developed to provide
growth factors for emissions from energy consumption. The approach chosen for development
of the modules was based on a review of existing energy data and models, and the structure and
function of E-GAS. The structure of E-GAS includes economic models for each of the
nonattainment areas required to use photochemical modeling and for each of the States in the
ROM modeling region. The outputs from these models include detailed economic forecasts of
industrial and commercial employment and factor costs, and population. These factors are used
to estimate energy consumption in the residential, commercial, and industrial sectors.
Section 5,2 describes available fuel consumption data. Section 5.3 describes existing
energy models. Section 5.4 discusses options considered for the fuel choice portion of E-GAS.
Section 5.5 describes the methodology used to estimate fuel choice in E-GAS.
5.2 FUEL CONSUMPTION DATA
5.2.1 Manufacturing Energy Consumption Survey
The Manufacturing Energy Consumption Survey1 (MECS) provides detailed energy
consumption data by industry for the United States and the four Census regions. MECS is a
triennial survey which began in 1985. Most data in MECS are at the two-digit SIC level,
although there are data for the energy-intensive four-digit SIC categories. Data for 1985 did not
cover smaller establishments. However, the level of detail of the 1988 data is sufficient for
estimating future energy consumption patterns. Finally, although the 1988 MECS data have
sufficient detail for analyzing energy choice and consumption patterns, there are no historical
values for these data. Because annual data are not available, MECS could not be used in E-GAS.
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5.2.2 Annual Survey of Manufactures (ASM)
The Annual Survey of Manufactures2 (ASM) published figures on purchased fuels and
electric energy used for heat, power, and electricity generation for the years 1974 to 1981. The
industrial breakout includes fuel consumption data by four-digit SIC for 1974 to 1981. However,
these data do not include total (purchased and produced) consumption of fuels and electric energy
for heat, power, and electricity generation. Because emissions are related to energy consumption,
not amount of energy purchased, these data may not be useful in E-GAS development.
The ASM does not present a complete series of data because information on purchase of
specific fuels is not covered in the post-1981 period. The 1982 and 1987 Census of
Manufactures* published data on purchased fuels. Data on the energy purchases are currently
being developed by staff at the U.S. Department of Energy's Energy Information Agency. These
data must be estimated for 1983, 1984, 1985, and 1986, which are the post-1981 years in which
neither MECS nor ASM was published. Because annual data are not available, ASM could not
be used in E-GAS.
5.2.3 National Energy Accounts
The National Energy Accounts4 (NBA), prepared by Jack Faucett Associates for the
U.S. Department of Commerce, report annual national time series data for 35 energy products
for 1958-1985. The NBA data use data from MECS and ASM. The 1985 MECS data were used
to allocate total four-digit SIC fuel expenditure data from ASM to specific fuels. This was done
by trending 1981 ASM fuel shares by four-digit SIC to 1985 based on trends in fuel shares at
the two-digit SIC level.4 Other energy consumption data sources that were used in the
construction of the NBA include the 1982 Census of Manufacturers3, the 1982 to 1985 ASM, the
1985 MECS, and the 1985 State Energy Price and Expenditure Report.5
NEA includes a complete data set for many categories of energy use for 1958-1985, and
is considered to be the best source for industrial energy-use data. For these reasons, NEA was
chosen to be a source of energy data for E-GAS.
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5.3 ENERGY MODELS REVIEWED
5.3.1 NAFAP Model Set
5.3.1.1 Industrial Regional Activity and Energy Demand (INRAD) Model
INRAD provides estimates of industrial electricity and fossil fuel demand. INRAD was
developed to predict how energy use will be influenced by fuel prices and the general level of
economic activity. The model also accounts for technological change. In two sectors, steel and
pulp and paper, the technological change estimates are specific to the industries. For the other
sectors, a general declining energy intensity (due to technological change) is employed.
Specifically, INRAD accounts for the increasing use of electric arc furnaces in the steel industry
and thermochemical pulping in the pulp and paper industry. The model uses the econometric
technique of seemingly unrelated regressions and uses national data from 1958 to 1985 to build
industry-specific equations for eight industrial categories. The eight categories include seven
industries and an eighth "other" category which aggregates the non-energy-intensive industries.
The seven industries modeled at the two-digit SIC level are food, textiles, paper, chemicals, glass,
glass products, and metals.6
The model estimates electricity and fossil fuel consumption in each sector as a function
of energy costs, capital, labor, materials cost, and capacity utilization in the industry. The model
predicts how energy consumption in the eight industrial sectors changes with changes to prices
in factor inputs. Simulated energy use from INRAD for 1985 was compared to 1985 data from
MECS. INRAD estimates were within five percent of actual electricity consumption and within
six percent of actual fossil fuel demand.6 The model's overall results are better than the industry-
specific results. For State- and urban-level modeling, the estimates of energy use will depend
significantly on the industrial composition of the area. If an area has large segments of an
industry for which INRAD may over- or underestimate fuel consumption, the model results could
be biased for that area. Modifications to the INRAD model which were made to improve the
model's ability to estimate industry-specific and State-level fuel consumption are discussed in
Section 5.5.
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5.3.1.2 Commercial Sector Energy Model by State (CSEMS)
The Commercial Sector Energy Model (CSEM) was chosen in the mid-1980s by Argonne
National Laboratory for use in the NAPAP model set. CSEM forecasts commercial energy
consumption by census region, and develops State estimates using a sharing algorithm. In 1989-
1990, ANL modified CSEM to directly forecast commercial energy consumption at the State
level; this version of the model was termed CSEMS. The CSEMS forecasts energy consumption
in the commercial sector for seven fuels.7
The input data to CSEMS include fuel prices, disposable personal income, and population.
Outputs include consumption of electricity, natural gas, distillate and residual fuel oil, and
liquefied petroleum gas (LPG) for warehouse, institution, office, hotel/motel, retail/wholesale, and
miscellaneous building types for three vintages of buildings. Kerosene, coal, and motor gas can
also be modeled but are usually omitted from model runs due to the insignificant amounts of
these fuels that are consumed in the commercial sector.7
5.3.1.3 Household Model of Energy by State (HOMES)
The Household Model of Energy (HOME) was chosen in the mid-1980s by Argonne
National Laboratory for use in the NAPAP model set. HOME forecasts residential energy
consumption for seven fuels by census region, and develops State estimates using a sharing
algorithm. In 1989-1990, ANL modified HOME to directly forecast residential energy
consumption at the State level; this version of the model was termed HOMES.8
The input data to HOMES include housing starts and income per household. Outputs
from HOMES include consumption of electricity, natural gas, distillate and residual fuel oil,
wood, and liquefied petroleum gas (LPG) for single and multi-family buildings end-use.
Kerosene, coal, and motor gas can also be modeled but are usually omitted from model runs due
to the insignificant amounts of these fuels that are consumed in the residential sector.8
5.3.2 REMI Model
5.3.2.1 Commercial and Industrial Fuel Use
The REMI model does not estimate commercial and industrial fuel consumption explicitly,
but uses fuel price in capital and labor factor demand equations. The price of fuel is a factor in
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the capital and labor demand equation in recognition that fuel, capital, arid labor ate inputs to the
production process, and that substitution possibilities exist among the three inputs. The optimal
level of fuel consumption is determined by the relative prices of capital, labor and fuel.
The REMI models calculate each region's costs of labor, capital, and fuel relative to the
entire United States. These relative costs are used to determine the amount of labor demanded
by each industry in a region. The relative costs of labor and capital, as well as anticipated
employment, are then used to estimate capital demands in a region. The demand for fuel is not
explicitly estimated. The cost of fuel, however, directly enters the labor demand equation and
indirectly enters the capital demand equations.
The "fuel price" used in REMI is a weighted average of the costs of natural gas,
electricity, and residual oil. The price of coal is not included in the fuel price except as it
indirectly affects the price of electricity.
E-GAS requires estimates of changing fuel consumption patterns in the commercial and
industrial sectors. While REMI provides information that may be useful in estimating future fuel
consumption, REMI does not provide estimates of commercial and industrial coal, gas, oil, and
electricity consumption. Because of this, the fuel consumption module must be developed
independently of REMI. A feedback loop between estimates of energy costs and consumption
with the REMI models could be included in E-GAS. This feedback would allow the user to
utilize the relationships between capital, labor, and fuel which are specified in the REMI models
and could improve the REMI estimates of labor and capital demand.
REMI outputs that may be useful for estimating industrial fuel consumption by fuel type
include relative (regional) costs of labor, capital, and fuel, as well as relative costs of total factor
inputs and intermediate inputs.
5.3.2.2 Residential Fuel Consumption
The REMI model produces estimates for one residential fuel category, fuel oil and coal.
These estimates are a function of two factors. The first factor that determines the amount of fuel
oil and coal consumption is the real disposable income of the region. The second factor is the
area's consumption of fuel oil and coal as a proportion of its real disposable income. This factor
is based on a consumer survey performed by the Department of Labor. The results of this survey
are published in the Consumer Expenditure Survey?
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These estimates capture the income effect on residential oil and coal consumption and
may be a good indicator of the income effect on all household heating expenditures. However,
the REMI estimates cannot capture three other components of household energy demand:
substitution and conservation of fuels caused by a change in the price or relative price of a fuel;
change in heating efficiency as older heating units are replaced; and, the use of energy in the
household for purposes other than heating. Finally, because REMI models do not produce
estimates of residential electricity and natural gas consumption, the models are not sufficiently
detailed for use hi E-GAS.
5.3.2.3 Transportation Fuel Consumption
The REMI model estimates consumption, in dollars, of gasoline and oil (motor). This
estimate is derived using the same basic methodology that is used to estimate residential fuel
consumption. The estimate is a function of two factors. The first factor that determines the
amount of gasoline and motor oil consumption is the real disposable income of the region. The
second factor is the area's consumption of gasoline and motor oil as a proportion of its real
disposable income. This factor is based on a consumer survey performed by the Department of
Labor. The results of this survey are published in the Consumer Expenditure Survey.9
The growth in real disposable income drives changes in gasoline and motor oil
consumption. Changes in real disposable income in a region depend on changes in population
and per capita real disposable income. Changes in motor oil and gasoline expenditures may be
a fairly good proxy of changes in VMT growth in the short-run. The guidance on projecting
VMT suggests that a time trend of VMT growth may be used to project VMT. REMI estimates
of gasoline and motor oil consumption capture changes in real disposable income and population,
both of which are related to VMT.
5.3.3 PC-Annual Energy Outlook (AEO) Model
5.3.3.1 Residential Fuel Consumption
The PC-AEO model uses the Residential Energy End-Use Model (REEM) to project
residential energy consumption for the Annual Energy Outlook.10 The REEM model projects fuel
consumption by Census region, type of service demand, type and vintage of residential structure,
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fuel, and year. Projected fuels include distillate oil, natural gas, LPG, electricity, kerosene, and
other fuels, and projections are made for each year through 2010.
There are four models within REEM; housing stock, service demand, service capacity, and
technology choice. The housing stock model uses new housing projections from Data Resources,
Incorporated and estimates annual housing starts by three housing types and three vintages for
each of the Census regions. The service demand model estimates the demand for energy
services. These services include heating and cooling, hot water, and refrigeration and appliances.
Service demands are modeled for each housing type, vintage and region. The service capacity
model calculates the amount of new and existing energy demand that must be met and the
technology choice model estimates the shares of each technology which will be used to meet this
demand.10
5.3.3.2 Commercial Fuel Consumption
The PC-AEO framework estimates commercial energy consumption using the Building
Energy End-Use Model (BEEM). BEEM is based on the Nonresidential Buildings Energy
Consumption Survey (NBECS-86), a 1986 Department of Energy survey on energy use in
commercial buildings. The model forecasts consumption of eight fuel types by year through
2010. The forecasted fuels are residual and distillate oil, natural gas, electricity, LPG, coal,
motor gasoline, and kerosene.
The four basic components of BEEM are models of building floorspace, service demand,
service capacity, and technology choice. The floorspace model is considered a key component
of BEEM because of the sensitivity of commercial energy consumption to the amount of
floorspace. The floorspace model projects new and existing floorspace by year for each of the
four Census regions.
The NBECS-86 includes data on total commercial consumption by fuel, measured in Btus,
and uses "conditional demand analysis" to estimate the amount of fuel that is consumed for each
energy service (e.g., heating) per foot of floorspace.
Final energy demand by region is calculated from estimated service demand, average
efficiency of each fuel used to meet service demand, fuel shares by type of service demand, and
price and employment effects. Data on macroeconomic variables, fuel prices and elasticities are
from the PC-AEO model.
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BEEM can run as part of the PC-AEO model or can serve as a stand-alone model.
Macroeconomic data and fuel prices would need to be fed to BEEM if it were to be run alone.
However, the usefulness of BEEM in E-GAS might be limited by the level of disaggregation
(Census region) of the output.10
5.33.3 Industrial Fuel Consumption
The PC-AEO industrial model estimates fuel consumption for eight industries. Five of
these industries are two-digit SIC industries and three industries are aggregations of two-digit SIC
industries. Fuels that are modeled include purchased electricity, natural gas, steam coal, residual
oil, and distillate oil. The model forecasts energy consumption at the national level through
2010.
The general form used to estimate fuel consumption specifies an industry's fuel
consumption as a function of output in the industry, the price of the fuel being modeled, and the
price(s) of competing fuel(s). The national equations are used to forecast Census region forecasts
by benchmarking the national equations to aggregations of State Energy Data Systems data.
Regional fuel consumption can then be forecast using regional macroeconomic and price forecasts
provided by the PC-AEO macroeconomic model. The use of benchmarking assumes that
sensitivities of energy consumption to changes in fuel prices and output are the same for all
regions.
53.4 ENERGY2020
One model that can simulate energy demand (and supply) at the sub-State level using
detailed economic inputs is the ENERGY2020 model. Early versions of this model were
developed for DOE. Total investment in the model exceeds 250 experience-years of model
development and usage and $15,000,000 of model development and testing. A 1989 California
Energy Commission study concluded that ENERGY2020 was the best energy and planning
analysis model of the 26 models tested." A more detailed description of the ENERGY2020
model can be found in the E-GAS preliminary model development plan.
The model is fairly large and a demonstration model was tested on two machines. First,
the model was run on a 386SX/20 without a math co-processor. The model reached solutions
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for all fuels and sectors for 1990-2000 in 95 minutes. The model Was then run on a 4S6/33 with
a math co-processor and the model reached the final solutions in 35 minutes.
Though ENERGY2020 is a respected model and could be calibrated to analyze fuel choice
in the areas modeled in E-GAS, the model is very sophisticated and may be costly. Based on
this information, it was determined that the use of a purchased model had three drawbacks: the
cost would be higher than the cost associated with using the NAPAP models with an improved
version of INRAD; there will be an additional cost associated with learning the model; and the
model has not been peer-reviewed by EPA.
5.4 OPTIONS CONSIDERED FOR E-GAS FUEL CHOICE MODULE
In the preliminary E-GAS research plan, two general options were presented for the fuel
choice module. The first option was to modify and use an existing model set. The second
option was to build a fuel choice module by developing equations for each urban area to be
modeled in E-GAS. Both of these options were considered for the model plan. Section 5.3
presented reviews of the NAPAP models, ENERGY2020, and the fuel consumption modeling in
the REMI model. The criteria for ranking the models are the ability of the model to forecast at
the State or sub-State level; the input data required to run the models; the resources needed to
modify the model for use in E-GAS; and finally, an assessment of the quality of the model.
The models that met all of the above criteria are the NAPAP and ENERGY2020 models.
NAPAP and ENERG Y2020 can forecast at the State level and could be modified to estimate sub-
State energy consumption. In addition, neither model requires technological inputs which may
be difficult for the user to estimate (e.g., future energy intensity of commercial floorspace). Both
models have strong theoretical frameworks that have been modified and improved since their
initial development. While both models could be used in E-GAS, NAPAP was deemed the better
choice because of cost, familiarity to the E-GAS team members, and its status as an EPA peer-
reviewed model. The other alternatives were rejected for a number of reasons,
Electric Power Research Institute (EPRI) models (i.e., Residential End-Use Energy
Planning System (REEPS), Commercial End-Use Energy Planning System, and Industrial End-
Use Planning Methodology - Econometric Models) and the related Electric and Gas Utility
Modeling System were reviewed, but were not considered appropriate for E-GAS for three
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reasons: (1) the models currently forecast at the NERC-region level; (2) the required inputs to
the commercial and residential models are technological in nature and may be difficult to
estimate for sub-national regions; and (3) the Electric and Gas Utility Modeling System was
never finalized. The PC-AEO models from DOE appear similar in technique and structure to the
NAPAP models. However, the models forecast at the Census-region, rather than at State, level.
The REMI models are economic models which model energy costs and consumption of fuel oil
and natural gas in the residential sector and motor oil and gasoline in the transportation sector.
The models, however, do not explicitly forecast commercial and industrial fuel use and therefore
could not be used in E-GAS.
The second approach introduced in the preliminary model plan was to develop MSA-level
equations for fuel consumption. However, data needs were researched and it was determined that
the data needed to estimate energy elasticities were not available. The Annual Survey of
Manufacturers has data for 1974-1981 on energy consumption by two-digit SIC for each MSA
in the United States, but the data set is not complete for the 1980s. In addition to incomplete
energy data, employment and value added may not be available for two-digit SIC codes for
MSAs. These data are collected, but are often suppressed due to plant disclosure concerns.
Even if complete energy and employment data were available or could be estimated for
each MSA and "rest-of-State" area, this approach would probably not be appropriate for the
E-GAS modeling system. E-GAS will include economic models and emission projection
capabilities for 28 ozone.nonattainment areas, as well as each State in a ROM modeling area.
Development of energy consumption estimates for SICs 20 through 39 for just the 28
nonattainment areas would involve estimating 532 sets of equations. Each set of equations would
include consumption estimates for coal, oil, natural gas, electricity, and "other" fuel. Therefore
approximately 2600 equations would have to be developed to estimate fuel choice in the
nonattainment areas in E-GAS. Estimates for each State and "rest-of-State" in the ROM
modeling region would also have to developed. This approach could not be completed within
the schedule and budget constraints of the project.
Finally, the idea of developing equations for each of the nonattainment areas is based on
the assumption that economic behavioral characteristics differ between regions of the United
States. The theoretical structure of the REMI models (as well as the NAPAP and PC-AEO
models) is based on the belief that behavioral characteristics are similar in all regions of the
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and that differences
I $UCb as kvel ofM consumption, are
, i -rtMflffly.
'
5.5
THE E-GAS FUEL CHOICE MODULE
Based on the infonoation presented in Sections 5.1. 5.2, and 5.3, it was determined that
the NAPAP models would be the best option for estimating fuel consumption in E-GAS. It was
also determined that significant modifications would be made to the models m order to use them
in E-GAS. The following sections describe the modifications made to HOMES, CSEMS, and
INRAD during the development of E-GAS and the use of the models in E-GAS.
5.5.1 Modifications Made to CSEMS
Three major modifications were made to CSEMS in order to include it in E-GAS. First,
the model was re-coded to allow it to run in an MS-DOS environment. Second, the model was
modified to predict commercial energy consumption at the sub-State level. Third, the base year
of the model was updated to 1990.
The original version of CSEMS was coded to run on a mainframe computer, it was then
modified to run in a UNIX environment; finally, for E-GAS, the model was re-coded to allow
it to run in an MS-DOS environment. The programming language used is C.
During the re-coding of the model, CSEMS was updated to forecast commercial energy
consumption growth for the modeling areas defined in E-GAS. In order to forecast sub-State
energy consumption, CSEMS was modified to accept input data from the REMI models. These
areas include nonattainment areas and attainment portions of States. Although the model was
re-coded, the approach used in the CSEMS model in E-GAS is consistent with the model used
for the NAPAP assessments. This approach relies on forecasting three factors: commercial
floorspace, demand for commercial energy end-use services (e,g., air conditioning) and the
proportion of each fuel type which will be used to satisfy demand for an end use, and the
efficiency with which fuel will be used in commercial buildings. Forecasts of these three factors
are used to project consumption of energy, by fuel type, in the commercial sector.
5-11
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'UmBKlal
lal «™»»ption estimates using state-level fuel
rtd^~^ta*«M
^WaWorecas*
models. CSEMS produces growth factors for *^^T<^£
oils), liquefied petroleum gas (LPG), motor gasoline, kerosene and natural
areas and attainment portions of Sates. The growth factors for the fossil fuelsTul*™^
Crosswalk to grow the appropriate SCCs for each region. Tne growth factors for elecHcity are
sent to an electric utility model pre-processor, where fliey are used to develop an electric demand
growth factor Using a weighted average of regional electricity demand growth for the residential,
commercial, and industrial sectors.
5.5.2 Modifications Made to HOMES
Three major modifications were made to HOMES to include it in E-GAS. These
modifications parallel the modifications made to CSEMS. The model was re-coded, modified
to predict residential energy consumption growth at the sub-State level, and the base year of the
model was updated to 1990,
The original version of HOMES was coded to run on a mainframe computer, it was then
modified to run in a UNIX environment; finally, for E-GAS, the model was re-coded to allow
the model to run in an MS-DOS environment. The programming language used is C. During
the re-coding of the model, HOMES was updated to forecast residential energy consumption for
the modeling areas defined hi E-GAS. These areas include nonattainment areas and attainment
portions of States.
During the re-coding of HOMES, the approach used to estimate residential fuel
consumption remained consistent with the techniques used for the NAPAP assessments. This
approach relied on forecasting three factors: housing stock, demand for residential energy end-use
services (e.g., water heating) and the proportion of each fuel type which will be used to satisfy
demand for an end use, and the efficiency with which fuel will be used in residential housing
units. Forecasts of these three factors are used to project consumption of energy by fuel type in
the residential sector.
HOMES produces sub-State residential consumption estimates using State-level fuel
wices, and sub-State forecasts of household income from the REMI models. HOMES produces
5-12
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growth factors for electricity, coal, fuel oil, liquefied petroleum gas (LPG), natural gas, motor
gasoline, and wood for nonattainment areas and attainment portions of States. The growth factors
for the fossil fuels are used by the Crosswalk to grow the appropriate SCCs for each region. The
growth factors for electricity are sent to an electric utility model pre-processor where they are
used to develop an electric demand growth factor using a weighted average of regional electricity
demand growth for the residential, commercial, and industrial sectors.
5.5.3 Modifications Made to INRAD
Three modifications were made to INRAD for its use in E-GAS. First, the model, which
had been written to run in a UNIX environment, was re-coded to run in an MS-DOS
environment, the programming language used is C. Second, the model was modified to accept
sub-State level inputs from the REMI models and to forecast industrial fuel consumption growth
at the sub-State level. Third, equations for disaggregating fossil fuel consumption into coal, oil,
and natural gas consumption were added to the model.
5.5.3.1 Modifications to INRAD to Include Fossil Fuel Choice
The INRAD model is based on factor demand equations derived from the Generalized
Leontief (GL) flexible functional form. They are estimated for seven energy intensive industries.
Only electricity and total fossil fuel are forecast by INRAD. To support E-GAS, a second level
of hierarchical equations was developed to forecast fuel use by fuel type. These fuel share
equations can then be used in conjunction with INRAD to forecast growth in individual fuel
types. The general issues and methodology for the INRAD/E-GAS fuel share equations are
discussed in this section.
To maintain simplicity, equations are developed for three fuel types only: coal, total oil
(aggregated mostly from residual and distillate fuel oil use), and total gas (mostly natural gas,
but also including some LPG). As was the case for INRAD, national data series for the three
different fuel types were drawn from the National Energy Accounts for the years 1958-1985.
The same level of industrial disaggregation was used, i.e., SIC 20, 22, and 32, upstream
production sectors of SIC's 26, 28, and 33, and an "other" sector which includes all non-energy-
5-13
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intensive industries.2 An index of natural gas curtailments was also used to control for the gas
shortages in the early seventies.
INRAD predicts the level of fossil fuel use, given all factor prices. The fuel choice
equations give the predicted share of energy use by type. The methodology assumes the fossil
fuel choice follows a GL cost function. The GL approach generates a system of equations that
predict the i* share of fossil fuel use, f/F, as a function of the relative prices of each fuel type.
The form of the equations is:
(1)
where,
fj is the i* fuel
i represents the 3 fuels i = c,o, and g (coal, oil, and gas)
j represents the 3 fuels i = c,o, and g (coal, oil, and gas)
F is total fossil fuel use
Pi and Pj are the fuel prices
T is a technology trend
Z represents non-price influences
P0 , TJ and YJ are parameters that are estimated, with f^ representing the cross-
price elasticity of fuels i and j
TJ representing the technology elasticity of fuel i demand
YJ representing the non-price elasticity of fuel i demand
For forecasting, there are no non-price terms, therefore Equation (1) can be written as:
'In INRAD, the aluminum sector was also a separate sector. Almost all energy use in that sector is electricity. The remainder is included
in "other" for purposes of forecasting fuel shares.
5-14
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(2)
where,
(3)
Unfortunately, there is no guarantee that the predicted values for the fuel share will sum to one.
One approach is to drop one of the equations, e.g., the oil equation. The equation would then
be written:
F F
(4)
The other alternative is to renormalize the equations:
(5)
Equation 5, while not based on any economic theory, is the recommended choice since it does
require that a particular fuel be singled out and treated differently. This is the approach used in
E-GAS.
Due to the paucity of State-level data on energy use by 2-digit SIC and due to the need
to aggregate the total energy use by fuel type to apply to the boiler SCC records, which may not
reliably identify the SIC code of the point source, a method to forecast regional fuel use by fuel
type and industry in 1990 and beyond is required.
Two alternatives to implementing these equations are available. The first is to use
regional price data to predict Sj=f/F (i=c,o,g) normalize using Equation (5), and apply these
predicted fuel shares to the State-level predictions of total fossil fuel use. The second choice is
5-15
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to construct a new base year file of State-level fossil fuel use by type and SIC. The forecast for
any year t would then be:
(6)
where,
' F
(7)
and Ft /F^ is based on the fossil fuel forecasts from the original INRAD equations. This
approach better accounts for State-level variations in fuel choice, but requires slightly more data
and programming. This approach is taken in E-GAS because the energy consumption numbers
need to be applied to benchmark consumption estimates developed for the nonattainment areas
and attainment portions of States. The model will be run using 1980 energy consumption data;
from these output, 1990 benchmark data will be estimated. The 1980 estimates of State-level
energy use by 2-digit SIC and fuel type are available from the Purchased Heat and Power
Systems (PURHAPS) model and database. Argonne National Laboratory supplied this
benchmark data for E-GAS. No other more recent data are available.1*
The growth rate equation used in E-GAS is:
(8)
where: •
fu represents growth rates
j, represents fuel shares for present year
j I990 represents fuel shares for 1990 base year.
'There are 1981 data available in PURHAPS and for the INRAD benchmark year. However, this year was the beginning of a severe recession
in many energy intensive sectors and would not be a good choice for a benchmark.
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5.6 REFERENCES
1. U.S. Department of Energy. Manufacturing Energy Consumption Survey. Washington,
DC. Various years.
2. U.S. Department of Commerce. Annual Survey of Manufactures. Washington, DC.
Various years.
3. U.S. Department of Commerce. Census of Manufactures. Washington, DC. Various
years.
4. Jack Faucett Associates. National Energy Accounts, 1958-1985. Prepared for the U.S.
Department of Commerce. Washington, D.C. February 1989.
5. U.S. Department of Energy. State Energy Price and Expenditure Report. 1985.
6. Boyd, G.A., E.G. Kokkelenberg, and M.H. Ross. Sectoral Electricity and Fossil Fuel
Demand in U.S. Manufacturing: Development of the Industrial Regional Activity and
Energy Demand (INRAD) Model. Argonne National Laboratories. Argonne, IL. February
1990.
7. U.S. Department of Energy. Model Documentation: Commercial Sector Energy Model.
Prepared for the Energy Information Administration. DOE/EIA-0453. August 1984.
8. Holte, J. A. Model Documentation: Household Model of Energy. Prepared for the U.S.
Department of Energy, Energy Information Administration. DOE/EIA-0409. February
1984.
9. U.S. Department of Labor. Consumer Expenditure Survey. Bureau of Labor Statistics.
Washington, D.C. 1983.
10. U.S. Department of Energy. PC-AEO Forecasting Model for the Annual Energy Outlook
1990 (model documentation). Energy Information Administration. Washington, D.C.
March 1990.
11. Systematic Solutions, Inc. Introduction to the ENERGY 2020 Model. Vandalia, Ohio.
October 1991.
5-17
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CHAPTER 6
ESTIMATING ELECTRIC UTILITY GENERATION
6.1 INTRODUCTION
Electricity generation by electric utilities is estimated/forecast by the Neural Network
Electric Utility Model (NUMOD). NUMOD is a behavioral model which uses three embedded
neural networks to calculate annual generation activity indices (where the base year, 1990, is
assigned an index of 100) and annual generation resulting from combustion of coal, oil, and
natural gas in each of the 48 contiguous States.
Although NUMOD estimates/forecasts State aggregate generation,, it assumes that States
are grouped into power pools. It also assumes that generation needed to meet demand (or "load")
in any State may be partially located in other States in the power pool. Accordingly, it is very
important when using NUMOD to run an input scenario for the entire power pool and to analyze
results for the entire power pool.
In contrast to traditional electric utility models, NUMOD used artificial intelligence to
learn how utilities generate electricity from data describing generating capacity, climate, peak
loads, fuel prices, and power pool effects. It executes rapidly, uses less than 70 kBytes of
memory, and supports a variety of alternative scenarios. The model operates by reading input
records, each of which describes one State for one year. Each record is independent of every
other record, allowing NUMOD to run any number of scenarios during a single model run. This
capability supports hypothetical scenarios such as a sensitivity analysis. However, users are
responsible for ensuring the validity of NUMOD inputs.
This chapter describes NUMOD, its inputs, outputs, and much of the design philosophy
behind the model. Information needed to set up an input file and run the model is found in the
E-GAS User's Guide.
NUMOD was designed to meet the following objectives:
Minimum RAM requirements and economic execution: The electric utility component of
E-GAS was designed to operate on a personal computer within the same memory and
other hardware constraints as the other E-GAS components. No use was made of
6-1
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proprietary software or of software requiring excessive memory. It was necessary for
NUMOD to execute very rapidly, making a small impact on E-GAS execution speed.
Based on publicly available data: All data were to be publicly available and recognized
without independent validation.
Behavioral model; In order to be validated under a potentially unknown number of
scenarios, it was necessary for the model to be a behavioral model rather than a normative
model, because normative models are potentially difficult to validate.
Validation during development: NUMOD was validated during development to assure
operation as designed and reliable output production.
6.2 SCC AND GEOGRAPHIC COVERAGE
NUMOD estimates/forecasts generation by fuel type: coal, oil, and gas. This breakdown
of generation was determined in part by the needs of E-GAS, in part by electric utility practice,
and in part by the availability of suitable data. Generation is estimated/forecast at the State level
for each of the 48 contiguous States. States are grouped into regions which approximate NERC
regions to include effects which are specific to each power pool.
6.2.1 Applicable SCCs
Thirteen SCCs or SCC groups cover the vast majority of electric utility operations. These
are summarized in Table 6-1.
TABLE 6-1 MAJOR ELECTRIC UTILITY SCCs
SCC
Description
n/a
n/a
101002XX, 2101002XXX
201002XX 101003XX, 2101003XXX
101005XX, 201001XX, 2101004XXX
101004XX, 2101005XXX
101006XX, 2101006001
2101006002
Hydro-electric
Nuclear
Bituminous & Sub-bituminous boilers
Lignite boilers
Distillate boilers and ICs
Residual boilers
Gas boilers
Gas ICs
6-2
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SCCs shown in the above table account for nearly 100 percent of electric utility generation.1
There is no SCC for either hydro-electric or nuclear generating units. However, they account for
a significant fraction of utility generation and are therefore added to this table.
Additional SCCs, shown in Table 6-2, account for a very small amount of generation and
are not included in the model.
TABLE 6-2 ELECTRIC UTILITY SCCs
SCC
Description
101007XX, 2011007XX, 2101010XXX
101008XX, 2101009XXX
101009XX, 2101008XXX
101010XX, 2101007XXX
101011XX, 2101011XXX
101012XX, 2101012XXX
101013XX, 2101013XXX
Process gas boilers and ICs
Coke boilers and ICs
Wood boilers and ICs
LPG boilers and ICs
Bagasse boilers
MSW boilers
Liquid waste combustors
With the possible exception of municipal solid waste (MSW) boilers, none of these is
likely to provide significant generation. Although they may be important locally or in unique
circumstances, their use tends to be very limited and difficult to predict. Data are too limited
to allow statistically significant generalization or modelling.
MSW units are still few in number and data are too limited to support modelling of MSW
plants. Municipalities sometimes turn to MSW plants as a way of disposing of solid waste while
creating a useful by-product in the form of electricity and/or steam. However, it is very difficult
to predict when and where MSW plants will be built.
6.2.2 NUMOD SCC Coverage
NUMOD's output, discussed in Section 6.5, consists of activity indices and generation by
coal, oil, and gas. These approximate to the SCCs shown in Table 6-3.
6-3
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TABLE 6-3 NUMOD SCC COVERAGE
Descriptor SCC
Description
Coal
Oil
Gas
101001XX, 101002XX, 101003XX,
2101001XXX.2101002XXX, 2101003XXX
101004XX, 101005XX, 201001XX,
2101004XXX, 2101005XXX
101006XX, 201002XX, 2101006XXX
Coal-fired boilers of all types
Distillate-fired and residual-fired boilers
andlCs
Gas-fired boilers and ICs
All coal-fired units are grouped as "coal" units, regardless of coal rank. Lignite-fired boilers
(SCC 101003XX and 2101003XXX) are grouped with bituminous and sub-bituminous-fired
boilers (SCC 101002 and 2101002) because there are few of them, they are located in very few
States, and no new units are likely to be built. The latest NURF database contains a total of 66
lignite-fired units with an aggregate nameplate capacity of 16,825 MW and an average capacity
factor of 30 percent.2 Although lignite is a significant fuel in some areas, it represents 10 percent
or less of national coal generation.* Nearly all of these plants are mine-mouth plants because
lignite is difficult to transport safely. Most data sources do not distinguish coal units by coal
rank in their data.
Distillate and residual oil plants are grouped as "oil" units. Residual oil is used primarily
as a boiler fuel and a standby fuel in some coal units. It is not used as a turbine fuel. Distillate
is used primarily as a turbine fuel and as a standby and flame stabilization fuel in some coal
units. It is not used as a boiler fuel. Both are used sparingly in normal utility operations due
to their relatively high cost. Moreover, they tend to be used in emergency situations and to cover
unexpected demand surges. Data availability and condition, discussed in Section 6.3.1, dictated
grouping residual and distillate units.
Gas-fired external combustion boilers (boilers) and internal combustion engines (ICs) are
grouped as "gas" units. Because there was no need to distinguish boilers from ICs and due to
data availability and condition, no attempt was made to separate gas boilers from gas ICs within
NUMOD.
'It is difficult to classify coal units as lignite-fired because coal is seldom reported by rank. Usually, only the coal's
heat content is reported in Btu/lb or MMBtu/ton. Experts frequently differ on the dividing line between lignite and
sub-bituminous coal, with some placing it as low as 6,500 Btu/lb and some placing it higher. Moreover, coal quality
may or may not be reported on a consistent basis.
6-4
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6.2.3 North American Electric Reliability Council (NERC) Region Assignments
Each electric utility is part of a power pool set up to share generating resources to meet
various contingencies and to engage in the buying and selling of electricity. Real-world power
pools generally conform to utility service territories and the location of individual electric
circuits. Because State boundaries are used as NUMOD's fundamental spacial unit, power pools
were adjusted slightly to conform to State boundaries. NERC regions were used to delineate
power pools because they approximate the larger pooling units and because critical data on
historic and predicted peak loads are reported that way. Table 6-4 shows power pool assignments
for each State.3'4 A numeric code, which is discussed in Section 6.4.1, is also shown.
TABLE 6-4 STATE POWER POOL MEMBERSHIP
Power Pool
Region States in Pool
Code
Northeast Power Coordinat- 0
ing Council
Mid-Atlantic Area Council 1
East Central Area Reliability 2
Coordination Agreement
Southeastern Electric Relia- 3
bility Council
Mid-America Interconnected 4
Network
Mid-Continent Area Power 5
Pool
Southwest Power Pool 6
Electric Reliability Council 7
of Texas
Western Systems Coordinat- 8
ing Council
ME, NH, VT, MA, NY, CT,
RI
PA, NJ, DE, MD
WV, KY, MI, OH, IN
VA, SC, FL, AL, NC, GA,
TN, MS
WI, IL
MN, IA, SD, NE, ND
LA, MO, KA, AR, OK
TX
WA, CA, AZ, CO, MT, ID,
OR, NV, NM, UT, WY
6-5
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6.3 MODELING STRATEGY
Review of the available data, E-GAS SCC coverage, and NUMOD's potential applications
resulted in adopting a structure which uses one neural network to estimate/forecast coal
generation, combines coal generation estimates/forecasts with the other explanatory variables, and
then uses two additional neural networks to estimate/forecast oil and gas generation; producing
a total of three neural networks.
6.3.1 Review of Generation Data and Selection of Input Variables
Data describing each State and the power pool to which it belongs were reviewed to
identify statistically significant determinants of electricity generation. Coal accounts for most of
the fossil fuel generation in the U.S. except in certain States where oil and gas are important (oil
and gas account for equal shares). Of the potential explanatory variables, none has a high
correlation with generation, but each is important for network training or as a scenario or policy
variable. Table 6-5 summarizes major reasons for including variables in NUMOD.
6.3.1.1
Data Sources
Electric utility data are collected by the U.S. Department of Energy's Energy Information
Administration (EIA) and the Federal Energy Regulatory Commission (FERC) under various
statutory authorities. Data are collected via a number of forms which are submitted to EIA or
FERC. These are tabulated and presented in a number of publications and, where confidentiality
requirements permit, original data are made available to the public. Several forms were of
particular importance to this project:
EIA-759
FERC-423
EIA-767
Monthly Power Plant Report
Monthly Report of Cost and Quality of Fuels for Electric Plants
Steam-Electric Plant Operation and Design Report
6-6
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TABLE 6-5 USES FOR NUMOD INPUT VARIABLES
Variable(s)
Reasons for including
in model
Potential scenario
use
Allows network to learn in-
dividual region characteristics
and operating rules.
Region identifier
N/A
Summer and winter peak
loads
Heating and cooling degree
days
Defines load duration curve
(LDC) shape. Allows net-
work to learn dispatch pat-
terns resulting from peak,
cycling, and base loads
Models changes in end use
demand and changes in LDC
shape.
N/A
State steam, 1C and
hydro/nuclear capacity
Capacity imposes limits on
generation. Allows network
to learn fuel use by prime
mover.
Models effects of capacity
additions, and retirements and
changes in prime mover shar-
es.
Region steam, 1C and
hydro/nuclear capacity
Models effects of capacity
additions, retirements, and
prime mover shares in other
power pool members.
State end-user demand
Region end-user demand
Demand determines genera-
tion. Allows network to
learn relationship of demand
to generation in State and re-
gion.
Models demand growth in
state.
Models demand growth in
other power pool members.
State average coal, oil and
gas prices
Fuel price and fuel price dif-
ferences help determine gen-
eration choices.
Models changes in real fuel
prices and differential fuel
price changes.
The Edison Electric Institute (EEI) collates and tabulates these data as needed to
summarize by State. Data are contained in the Statistical Yearbook of the Electric Utility
Industry (referred to as "the yearbook"),1 which is published annually. Yearbook data were used
for two reasons: EEI has already processed EIA/FERC data and presented them in a useable
form; in its role as an industry representative, EEI publishes data which accurately describe the
activities of its constituents.
EEI generation data are presented in two ways: by prime mover and by fuel. Generation
data by prime mover combine coal-, oil-, and gas-fired conventional steam units. Generation data
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1
by fuel separate coal, oil, and gas but group coal by rank and group the two oil types. Even
though some SCC combination results, the data on generation by fuel are much closer to the
E-GAS SCC requirements and were used for that reason.
Data on peak loads for power pools are compiled and published by the North American
Electric Reliability Council. Both historic and predicted summer and winter peak loads in
Megawatt (MW) for each NERC region are published in Electricity Supply and Demand?
The U.S. Department of Commerce Economics and Statistics Administration publishes
price indices for fuels, which were used to convert nominal (current year) fuel prices to constant
dollars. Weather data, in the form of heating and cooling degree days, are compiled and
published by the National Oceanic and Atmospheric Administration (NOAA). These are further
tabulated in the Statistical Abstract of the United States?
Data used to develop NUMOD are tabulated in Appendix A. The following data were
assembled in record format. Each record represents one State for one year and there is one
record for each State during 1980 - 1991, for a total of 576 records.
Heating degree days
Regional summer peak load
Prior year winter peak load
State 1C generating capacity
Region steam generating capacity
Region hydro and nuclear capacity
Region demand
Average State oil price
State coal-fired generation
State gas-fired generation
Cooling degree days
Current year winter peak load
State steam generating capacity
State hydro and nuclear capacity
Region 1C generating capacity
State demand
Average State coal price
Average State gas price
State oil-fired generation
Units of measure and descriptions of computations are included in Appendix A.
6-8
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6.3.1.2
Fuel Shares and Determinants of Utility Generation
Statistical review of the database shows that approximately 85 percent of national total
generation depends on coal for its fuel source. Oil and gas each account for approximately 8.5
percent.1-2 Some areas, notably the Gulf States, parts of New England, and California, tend to
use more oil and/or gas than most other States. This reliance on oil and gas is largely due to
either the proximity of supply in the form of oil/gas fields and refineries, or a relative scarcity
of coal, as in parts of New England. Air pollution regulation also plays a part in some areas, as
in California.
In order to select explanatory variables in NUMOD, simple correlations were calculated
for generation and each of 15 variables. Table 6-6 contains coal, gas, and oil generation
correlation coefficients with each of the NUMOD explanatory variables.4
TABLE 6-6 CORRELATION COEFFICIENTS FOR GENERATION AND EXPLANA-
TORY VARIABLES
Explanatory Variable
Heating degree days
Cooling degree days
Summer peak load
Winter peak load
State demand
Region demand
Region hydro/nuclear capacity
Region steam capacity
Region 1C capacity
State hydro/nuclear capacity
State steam capacity
State 1C capacity
Coal price
Oil price
Gas price
Coal Generation
-0.210
0.245
0.163
0.130
0.557
0.122
-0.234
0.438
0.004
0.023
0.748
0.179
-0.362
-0.118
-0.269
Oil Generation
-0.133
0.068
-0.035
-0.012
0.396
-0.011
-0.007
-0.084
0.027
0.253
0.300
0.341
0.012
-0.095
-0.269
Gas Generation
-0.401
0.313
-0.079
-0.092
0.698
-0.060
-0.101
0.002
-0.135
0.149
0.759
0.071
0.094
-0.044
-0.104
These correlation coefficients are notable for their generally small magnitudes. Although
each variable has been included in one or more of the traditional utility models, correlation
6-9
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analysis does not indicate that any one of them is particularly strongly linked to generation.
Nonetheless, each was included in each of the NUMOD neural network engines because of their
potential policy and/or scenario importance and because each is readily available to anyone
wishing to run NUMOD. Additionally, electric utility forecasting practice has illustrated the
importance of these variables.
6.3.2 Implications for Model Design
The data review clearly indicates that an adequate utility model should focus on coal
because coal is responsible for most electricity generation. This has special importance for a
model using a machine learning technology like a neural network. One neural network was
trained to estimate/forecast coal generation using explanatory variables (described in more detail
below) and historic coal generation. Output from the coal network was then used with the same
explanatory variables and historic oil and gas generation to train two additional networks: one
for oil generation and one for gas generation.
Within the NUMOD's structure as depicted in Figure 6-1, each record is read from the
input file and pre-processed as described in Section 6.4. The coal network is run to produce a
coal generation estimate/forecast, which is printed to the output file and also combined with the
explanatory variables by a second pre-processor. The second pre-processor sets up input for the
oil and gas networks. These two networks produce oil and gas generation estimates/forecasts
which are also printed to the output file. Post-processing consists of two steps: calculating
activity indices and calculating generation.
6.3.3 Traditional Utility Model Inputs and Their Use in NUMOD
NUMOD uses the same variables as traditional electric utility models but in a different
way: instead of using the variables to develop an objective function, constraints, bounds, and
data in a linear program or as variables in a system of a priori equations, three different neural
networks learn how explanatory variables are related to generation. Each group of variables is
used to account for one or more important effects.
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Data Input
Preprocessor 1
Coal Network
Input Setup
Preprocessor 2
Oil & Gas Network
Input Setup
OH Generation
Neural Network
Gas Generation
Neural Network
Coal Generation
Neural Network
Coal Generation
Oil Generation
Gas Generation
Post-processor
Coal, Oil & Gas
Activity Indices &
Generation
Figure 6-1 NUMOD Data Flow Diagram
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6.3.3.1 The'Effect ofPower Pools
As described above, electric utilities belong to power pools in order to share generating
resources during peak load periods, when generating units are out of service, or when one utility
can offer inexpensive electricity to its pool-mates.3'6 Pooling assures the security and quality of
the electricity supply and contributes to cost control.
Pool effects are included in NUMOD through the use of the following regional variables:
• region identifier (see above)
• steam capacity (MW)
1C capacity (MW)
• hydro-nuclear capacity (MW)
demand (MWH)
• summer peak (MW)
• current and prior year winter peaks (MW)
Each region develops its own operating rules and procedures to account for regional
peculiarities and the desires of member utilities. Developing data on these rules would be
expensive and difficult. However, by including a regional identifier among the training data, the
neural networks are allowed to leam the effects of these rules without ever specifying them.
Section 6.4.1 describes how this is done.
The three capacity variables tell the network how much capacity is available within the
pool to dispatch against both regional and State loads (see below). Summer and winter peaks
are most important at the region level because all capacity within the region can be used to meet
peaks no matter where they occur within the region. Section 6.3.3.3 enlarges this concept.
Demand within the region, together with peak demands and State demand (see below),
provides information about the amount of electricity which is either imported from or exported
to the State. Because the network is shown data about every State in the region during training,
it learns import/export patterns and how to relate them to capacity and fuel prices.
Three variables are used to describe region peaks: the summer peak, the current winter
peak and the prior year winter peak. Two winter peaks are needed because winter peaks occur
6-12
-------
during the months of December, January, February, and March. This makes it very difficult to
assign a winter peak to a given calendar year. For example, the winter peak for 1993 may occur
during the winter of 1992-93 or during the winter of 1993-94. Including both as variables
removes this difficulty. This problem does not impinge on the summer peak, which generally
occurs during August.
6.3.3.2
End User Demand
End-user demand is the amount of electricity actually sold to customers, including
electricity sold to other power pool members. Two kinds of demand are included in NUMOD:
• State demand Megawatt-hours (MWH)
Region demand (MWH)
State demand is included with region demand in order for the neural network to learn how
capacity is related to generation.
Demand in any State may be either higher or lower than generation or the potential
generation from all of the State's capacity. Some States e.g., the mid-Atlantic States, import
electricity because they cannot meet demand from native sources. Others, like West Virginia,
export more than they consume because they have substantial fuel resources, water, etc.
NUMOD uses State and region demand in conjunction with capacity and peak load information
to learn how a State dispatches its native capacity to meet demand.
Generation, which is an output, is greater than demand within a region due to transmission
and distribution losses and a need to maintain a reserve. It is also greater than demand within
States with low imports or exports. This difference varies from State to State and region to
region depending on differences in electricity systems, geography, operating practices, etc. In
general, losses range from 5 to 8 percent.1 In contrast to traditional models, NUMOD learns
about losses during training of the neural networks. More importantly, it learns how the three
kinds of generation are related to demand.
6-13
-------
6.3.3.3
Load Duration Curve Shape
Utilities dispatch their generating resources to meet a load (MW) which varies over time.
This varying load is most commonly summarized for a one year period by the load-duration
curve (LDC), which shows the load which is met or exceeded for each number of hours in a
year. Each region will experience its maximum load for a very small number of hours each year.
Lesser loads are experienced for more hours. By definition, LDCs have a negative slope.
Traditional models often subdivide the continuous LDC into a series of step functions
which approximate the continuous curve. The approximation can be made as close as needed
by decreasing the width, or "mesh", of each step. Computational constraints generally restrict
the number of steps which can be used to fewer than 10, each accounting for between 800 and
900 hours. Some models use as few as three steps.
Demand is given by the area under the LDC. If the LDC is integrated over the interval
[0, 8760], the result is demand measured in MWH. For a given demand, the LDC can have a
prominent peak, where base load is relatively smaller, or it can be relatively flat, where peaks
are not as important as base load.
NUMOD uses regional peaks loads for two reasons: first, experimentation during this
project has shown that a neural network is capable of learning how units are dispatched from
information about peak loads (the height of the LDC) and demand (the area under the LDC).4
Second, peak loads and demands constitute all of the readily available information. Going
beyond this, as would be required in developing a step function approximation, requires a number
of assumptions about the underlying LDC shape. NUMOD therefore makes fewer a priori
assumptions by not using a step function.
Weather data, in the form of State heating and cooling degree days, is used to further
define the LDC. Heating and cooling loads are one determinant of the peaking and cycling
portion of the LDC.
6-14
-------
6.3.3.4 Generating Capacity ' .
NUMOD uses three kinds of capacity for each state and the state's region:
• conventional steam (MW)
• internal combustion (1C) (MW)
• hydro plus nuclear (MW)
Conventional steam capacity includes all generating units using boilers to create steam.
This includes coal (all ranks) and residual oil, and gas, where residual oil and gas are used as
boiler fuel. 1C capacity includes gas and oil turbines. Hydro and nuclear have been combined
for computational convenience. Both kinds of unit tend to be base load units due to their
relatively low operating (variable) cost.
Generating capacity imposes an upper limit on generation, whether in a State or a region,
because no generating unit can produce more electricity than it is designed to produce. If State
demand is greater than its capacity, it must import electricity from its pool-mates. Alternatively,
if its capacity is greater than its demand, it may sell the surplus to its pool-mates. EEI
Yearbooks list capacity by prime mover for each State, and these were used to allow the
networks to learn how capacity is related to generation in each State and region.
6.3.3.5 Fuel Prices
Traditional utility models have shown that fuel prices and price differences among fuels
are important in determining each fuel's share of total generation. State average fuel prices,
denominated in constant dollars per MMBtu, are input for these broad fuel categories:
• coal (all ranks)
• oil (residual and distillate)
natural gas
6-15
-------
EEI data tabulate historic prices using these broad categories. Although data on prices by fuel
quality (heat and sulfur content) are available from FERC Form 423, experimentation showed that
they are not needed in training neural networks to estimate/forecast generation.
6.4 PRE-PROCESSING AND TRANSFORMING NUMOD INPUTS
NUMOD uses 20 input variables for each state record to estimate/forecast six outputs.
In addition, it reads a reference file of 48 records. The following sections describe the inputs.
Details of the record format, units of measure, and related matters are included in the E-GAS
User's Guide.
6.4.1 State Identifier and Classification Variables
Each input record is identified using the two letter state abbreviation. This identifier tells
NUMOD the State for which it is estimating/forecasting generation. The state identifier is
followed by three classification variables:
NERC region code (see above)
Coal generation code
Gas penetration code
The NERC region code tells NUMOD to which of the nine power pools the state belongs,
allowing the model to include effects which are peculiar to each pool.
Coal generation codes tell the model the proportion of fossil fuel generation provided by
coal. The coal generation code serves two purposes. First, it was found that States can be
clustered according to their fractional generation. Second, this variable can be used to control
scenarios in which coal will provide more (less) generation in some future year. Table 6-7 shows
coal generation codes.
6-16
-------
TABLE 6-7 COAL GENERATION CODES
Coal Generation Coal Share of Fossil Fuel
Code Generation
0 0% - 30%
1 30% - 65%
2 65% - 90%
3 90% - 98%
4 98% - 100%
A similar code is used for the proportion of oil plus gas generation represented by gas. Table 6-8
shows gas penetration codes.
TABLE 6-8 GAS PENETRATION CODES
Gas Penetration Gas Share of Oil Plus Gas
Code Generation
0 0% - 10%
1 10% - 50%
2 50% - 90%
3 90% - 100%
Nominal State code assignments are found in the E-GAS User's Guide.
6.4.2 Explanatory Variables and Data Transformation
In addition to the 3 classification variables, there are 16 explanatory variables for the coal
network:
• Heating degree days • Cooling degree days
• Regional summer peak load • Current year winter peak load
6-17
-------
Prior year winter peak load
State 1C generating capacity
Region steam generating capacity
Region hydro and nuclear capacity
Region demand
Average State oil price
State steam generating capacity
State hydro and nuclear capacity
Region 1C generating capacity
State demand
Average State coal price
Average State gas price
The State and Region demand data required as input to NUMOD must be calculated from
the commercial, residential, and industrial electricity growth factors produced by the E-GAS
modules CSEMS, HOMES, and INRAD, respectively. Since E-GAS produces growth by non-
attainment areas instead of States, a methodology was formulated to allocate generation from the
E-GAS areas to the State-level and to calculate the projected consumption values.
In order to do this, the State Energy Data Report electricity consumption for 1990 by
State and sector is allocated to the E-GAS areas.7 This allocation factor was determined by
calculating the number of electric utilities in a State and dividing that into the number of electric
utilities in the State which are also in the E-GAS area.8 This factor is then applied to the States
consumption to determine the consumption in the E-GAS area from the State. For E-GAS areas
encompassing more than one State, this approach is applied to each State and the resulting values
area totaled resulting in the consumption for that E-GAS area. Table 6-9 lists the 1990 electricity
consumption by State and sector, while Table 6-10 lists the factors used to allocate State
electricity consumption to the E-GAS area. This consumption data is used as the base year value
for the projection calculations.
6-18
-------
TABLE 6-9 1990 SEDS ELECTRICITY CONSUMPTION BY STATE
STATE
Alabama
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
RESIDENTIAL COMMERCIAL INDUSTRIAL
20,719
15,378
10,558
66,575
9,787
10,376
2,651
71,115
29,933
5,626
32,871
22,111
10,513
9,515
16,814
21,434
3,932
19,102
15,581
25,319
11,589
16,058
6,681
88,389
14,420
10,711
2,361
55,776
23,726
5,212
39,042
16,128
7,532
9,547
11,740
16,529
2,847
11,044
19,531
21,986
27,618
10,034
10,126
55,892
6,587
6,100
3,272
16,605
26,717
7,165
39,299
35,743
11,392
8,087
32,543
25,862
4,750
19,308
10,157
35,062
(continued)
6-19
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TABLE 6-9 1990 SEDS ELECTRICITY CONSUMPTION BY STATE (continued)
STATE RESIDENTIAL COMMERCIAL INDUSTRIAL
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
14,858
12,266
21,652
3,358
6,800
5,540
3,444
20,498
3,566
38,574
33,144
2,954
37,889
17,077
15,380
38,164
2,376
16,258
2,866
8,813
7,407
19,335
3,237
6,451
4,550
2,117
27,213
5,842
56,377
25,516
2,300
34,852
13,663
12,092
30,238
2,688
12,693
1,811
23,497
12,454
12,937
6,529
8,847
6,263
3,418
15,041
4,413
31,929
31,265
1,760
69,682
11,764
15,498
45,992
1,354
24,701
1,657
(continued)
6-20
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TABLE 6-9 1990 SEDS ELECTRICITY CONSUMPTION BY STATE (continued)
STATE
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
RESIDENTIAL COMMERCIAL INDUSTRIAL
28,757
82,548
4,246
1,809
28,130
28,809
7,578
16,385
1,720
13,075
70,781
5,389
1,526
28,092
21,512
5,085
13,408
2,319
35,313
84,087
5,766
1,381
16,399
40,712
10,469
19,405
7,729
TABLE 6-10 STATE TO E-GAS AREA ALLOCATION FACTORS
E-GAS AREA STATE FACTOR
Boston-Lawrence-Worcester Massachusetts . 0.6020408
(NE1) New Hampshire 0.0930233
Greater Connecticut (NE2) Connecticut 0.5747126
Portsmouth-Dover-Rochester New Hampshire 0.0697674
(NE3)
Providence (NE4) Rhode Island 1.0000000
Springfield (NE5) Massachusetts 0.3979592
(continued)
6-21
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TABLE 6-10 STATE TO E-GAS AREA ALLOCATION FACTORS (continued)
E-GAS AREA
Rest of New Hampshire
(NE6)
Maine (NE7)
Vermont (NE8)
New York-New Jersey-Long
Island (Ml)
Baltimore (M2)
Philadelphia- Wilmington-
Trenton (M3)
Washington, DC (M4)
Huntington-Ashland (M5)
Rest of New York (M6)
Rest of New Jersey (M7)
Rest of Pennsylvania (M8)
Rest of Delaware (M9)
Rest of Virginia (M10)
STATE
New Hampshire
Maine
Vermont
Connecticut
New Jersey
New York
Maryland
Delaware
Maryland
New Jersey
Pennsylvania
Maryland
Virginia
Kentucky
West Virginia
New York
New Jersey
Pennsylvania
Delaware
Virginia
FACTOR
0.8372093
1.0000000
1.0000000
0.4252874
0.6302521
0.3615635
0.3333333
0.5925926
0.0990991
0.2521008
0.2051282
0.0234234
0.1032258
0.0000000
0.0000000
0.6384364
0.1176470
0.7948717
0.4074074
0.8967741
(continued)
6-22
-------
TABLE 6-10 STATE TO E-GAS AREA ALLOCATION FACTORS (continued)
E-GAS AREA
Rest of West Virginia (Mil)
Rest of Maryland (Ml 2)
Atlanta (SI)
Louisville (S2)
Rest of Kentucky (S3)
Rest of Georgia (S4)
Tennessee (S5)
North Carolina (S6)
Mississippi (S7)
Alabama (S8)
South Carolina (S9)
Florida (S 10)
Chicago-Gary-Lake County
(Gl)
Milwaukee-Racine (G2)
Muskegon (G3)
Sheboygan (G4)
Cincinnati-Hamilton (G5)
STATE
West Virginia
Maryland
Georgia
Indiana
Kentucky
Kentucky
Georgia
Tennessee
North Carolina
Mississippi
Alabama
South Carolina
Florida
Illinois
Indiana
Wisconsin
Michigan
Wisconsin
Kentucky
Ohio
FACTOR
1.0000000
0.3333333
0.0970873
0.0258064
0.2000000
0.7818181
0.9029126
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
0.3003003
0.0645161
0.0485933
0.0035778
0.0076773
0.0181818
0.1908713
(continued)
6-23
-------
TABLE 6-10 STATE TO E-GAS AREA ALLOCATION FACTORS (continued)
E-GAS AREA
St. Louis (G6)
Rest of Illinois (G7)
Rest of Indiana (G8)
Rest of Wisconsin (G9)
Rest of Ohio (G10)
Rest of Michigan (Gil)
Minnesota (G12)
Houston-Galveston-Brazoria
(SW1)
Baton Rouge (SW2)
Beaumont-Port Arthur
(SW3)
El Paso (SW4)
Rest of Texas (SW5)
Rest of Louisiana (SW6)
New Mexico (SW7)
Oklahoma (SW8)
Arkansas (SW9)
Missouri (PL1)
STATE
Illinois
Missouri
Illinois
Indiana
Wisconsin
Ohio
Michigan
Minnesota
Texas
Louisiana
Texas
Texas
Texas
Louisiana
New Mexico
Oklahoma
Arkansas
Missouri
FACTOR
0.1171171
0.0409356
0.5825825
0.9096774
0.9437340
0.8091286
0.9964221
1.0000000
0.1331828
0.2293577
0.0203160
0.0158013
0.8306997
0.7706422
1.0000000
1.0000000
1.0000000
0.9590643
(continued)
6-24
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TABLE 6-10 STATE TO E-GAS AREA ALLOCATION FACTORS (continued)
E-GAS AREA
Kansas (PL2)
Nebraska (PL3)
Iowa (PL4)
Colorado (RM1)
Utah (RM2)
Wyoming (RMS)
North Dakota (RM4)
South Dakota (RMS)
Montana (RM6)
Idaho (RM7)
Oregon (RMS)
Washington (RM9)
Los Angeles (FW1)
San Diego (FW2)
Ventura County (FW3)
Sacramento Metro (FW4)
San Joaquin Valley (FW5)
Rest of California (FW6)
Nevada (FW7)
Arizona (FW8)
STATE
Kansas
Nebraska
Iowa
Colorado
Utah
Wyoming
North Dakota
South Dakota
Montana
Idaho
Oregon
Washington
California
California
California
California
California
California
Nevada
Arizona
FACTOR
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
1.0000000
0.2802450
0.0459418
0.0076569
0.0735068
0.1546707
0.4364471
1.0000000
1.0000000
6-25
-------
The next step is to calculate projected consumption by E-GAS area and sector. The
following equation is used to do this:
Consumption^ y - Consumption^ 1990 * Growth Factorijy
where i
j
y
sector (commercial, residential, industrial)
E-GAS area
year
The calculated sector-specific consumption values are then summed to give the total electricity
consumption for the E-GAS area.
The next step is to apportion the E-GAS area consumption to the States. Factors were
developed based on the number of utilities in a State which were .also in the E-GAS area.8 This
number was divided by the total number of utilities in the E-GAS area to indicate the amount
of E-GAS area consumption that could be attributed to the State. Table 6-11 lists the factors by
E-GAS area and State. The factors are multiplied by the E-GAS area consumption to give the
State consumption value. For States which are contained in multiple E-GAS areas, the calculated
State consumption values are totaled.
6-26
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TABLE 6-11 E-GAS AREA TO STATE ALLOCATION FACTORS
STATE
Alabama
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Idaho
Illinois
_
E-GAS AREA
Alabama (S8)
Arizona (FW9)
Arkansas (SW9)
Los Angeles-South Coast (FW1)
San Diego (FW2)
Ventura County (FW3)
Sacramento Metro (FW4)
San Joaquin Valley (FW5)
Rest of California (FW6)
Colorado (RM1)
Greater Connecticut (NE2)
New York-New Jersey (Ml)
Philadelphia (M3)
Rest of Delaware (M9)
Honda (S10)
Atlanta (SI)
Rest of Georgia (S4)
Idaho (RM7)
Chicago (Gl)
St. Louis (G6)
Rest of Illinois (G7)
FACTOR
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
0.1108
0.1524
1.0000
1.0000
1.0000
1.0000
1.0000
0.9091
0.7358
1.0000
(continued)
6-27
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TABLE 6-11 E-GAS AREA TO STATE ALLOCATION FACTORS (continued)
STATE
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
E-GAS AREA
Louisville (S2)
Chicago (Gl)
Rest of Indiana (G8)
Iowa (PL4)
Kansas (PL2)
Huntington-Ashland (M5)
Louisville (S2)
Rest of Kentucky (S3)
Cincinnati-Hamilton (G5)
Baton Rouge (SW2)
Rest of Louisiana (SW6)
Maine (NE7)
Baltimore (M2)
Washington, DC (M4)
Rest of Maryland (M12)
Boston-Lawrence-Worcester (NE1)
Springfield (NE5)
Muskegon (G3)
Rest of Michigan (Gil)
Minnesota (G12)
Mississippi (S7)
FACTOR
0.1539
0.0909
1.0000
1.0000
1.0000
0.0000
0.8461
1.0000
0.0417
1.0000
1.0000
1.0000
1.0000
0.6190
1.0000
0.9672
1.0000
1.0000
1.0000
1.0000
1.0000
(continued)
6-28
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TABLE 6-11 E-GAS AREA TO STATE ALLOCATION FACTORS (continued)
STATE
Missouri
'
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
E-GAS AREA
St. Louis (G6)
Rest of Missouri (PL1)
Montana (RM6)
Nebraska (PL3)
Nevada (FW7)
Boston-Lawrence-Worcester (NE1)
Portsmouth-Dover-Rochester (NE3)
Rest of New Hampshire (NE6)
New York-New Jersey (Ml)
Philadelphia (M3)
Rest of New Jersey (M7)
New Mexico (SW7)
New York-New Jersey (Ml)
Rest of New York (M6)
North Carolina (S6)
North Dakota (RM4)
Cincinnati-Hamilton (GS)
Rest of Ohio (G10)
Oklahoma (SW8)
Oregon (RM8)
FACTOR
0.2642
1.0000
1.0000
1.0000
1.0000
0.0328
1.0000
1.0000
0.2245
0.2857
1.0000
1.0000
0.6647
1.0000
1.0000
1.0000
0.9583
1.0000
1.0000
1.0000
(continued)
6-29
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TABLE 6-11 E-GAS AREA TO STATE ALLOCATION FACTORS (continued)
STATE
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
E-GAS AREA
Philadelphia (M3)
Rest of Pennsylvania (M8)
Providence (NE4)
South Carolina (S9)
South Dakota (RMS)
Tennessee (S5)
Houston (SW1)
Beaumont-Port Arthur (SW3)
El Paso (SW4)
Rest of Texas (SW5)
Utah (RM2)
Vermont (NE8)
Washington, DC (M4)
Rest of Virginia (M10)
Washington (RM9)
Huntington-Ashland (M5)
Rest of West Virginia (Mil)
Milwaukee-Racine (G2)
Sheboygan (G4)
Rest of Wisconsin (G9)
Wyoming (RMS)
FACTOR
0.4571
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
0.3810
1.0000
1.0000
0.0000
1.0000
1.0000
1.0000
1.0000
1.0000
6-30
-------
•Finally, growth factors are calculated from the calculated State values. These factors are
then applied to the base year consumption values from the NUMOD training file in order to
develop the final consumption values used as input to NUMOD.
Once State-level consumption values are calculated, the NERC Region consumption is
calculated by summing the consumption for all States in the Region. This Region demand is then
used to calculate the peak load values for summer and winter from the equation:
(8760
where s = season (winter or summer)
r = NERC region
y = year
Pry s = peak load in region r during season s in year y
Dry = demand in region r during year y
LFr y = annual load factor in region r during year y
£r i5 = ratio of the peak load in season s to the average annual load factor in
region r
Table 6-12 lists the load factors and ratios for each NERC Region.
NUMOD also requires the input of fuel prices for each State in each year. These values
are calculated by averaging the fuel prices used by CSEMS, HOMES, and INRAD for the State
and year. Fuel-specific price growth factors are then calculated and applied to the base year
prices from the NUMOD training file.
The remaining inputs are taken from files developed during the training of the neural
network.
The oil and gas networks each use these 16 explanatory variables plus coal generation
output from the coal network, for a total of 17.b Each variable has been discussed above.
However, before NUMOD can use these variables, they are first transformed to eliminate
'The oil and gas networks use the same inputs but each was trained to output a different estimate/forecast: the oil
network was trained with oil generation and the gas network was trained with gas generation. In every other respect,
the networks are identical.
6-31
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skewness and the effects of scale. All of these operations are performed by NUMOD's internal
pre-processors in the following three steps:
(1) Natural logarithms are taken to reduce skewness
(2) All variables are normalized using the following z-transform equation:
- X
where: Xj = natural logarithm of the ith observation of variable X,
X bar = mean of the natural logarithms of variable X, and
sx = standard deviation of the natural logarithms of variable X.
(3) Z-normalized variables are mapped to the surface of a 17-dimension sphere of
radius 2.300 by intersecting a line originating at the "north pole" of the sphere and
passing through the vector defined by the coordinates 0 and the 16 z-normalized
variables with the surface of the sphere. Equations for this operation are:
where: r = radius,
Yi = Y coordinate of the ith observation,
P(Xi,j) ~ coordinate of the jth variable of the ith observation, and
t -
6-32
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.
Step 3 is important for a number of reasons: first, it groups similar inputs into regions
on the surface of a hypersphere, allowing the neural network to learn more easily. Second, it
gives equal weight to all training vectors by forcing them to have equal lengths, reducing the
potential for bias during neural network training. Third, it ensures that no input will ever be so
large as to "saturate" the neural network, exceeding its dynamic range. Taken together, these
factors assure that the neural network can be used for data which differ from the training data.
6.5 REFERENCE PARAMETERS AND NUMOD OUTPUTS
Parameters used to calculate activity indices and generation are read from a parameter file
which contains 1990 reference data for each State. Activity indices are calculated for each of
the three kinds of generation using the following general equation:
where:
FAi, sj
LAi, sj
activity index for fuel i in State s during
yearj
neural network estimate/forecast of the
natural log of generation for fuel i in State s
during year j.
Generation is calculated from the activity indices by looking up 1990 generation for each State
and multiplying by the activity index. The following general equation is used:
FAi.S.jGi.B, 1990
where:
i. s, j = generation for fuel i in State s during year j.
NUMOD's built-in post-processors handle all of these operations and write results to the output
file. Parameter values for each State are tabulated in Appendix B.
6-33
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Once NUMOD has produced State-level generation by fuel, E-GAS'needs to allocate this
value to the E-GAS areas. The first step in this process is to calculate generation shares for each
generating unit. The following equation is used to calculate the generation share:
where
°i.f.s,y ~
CFieu =
c,
i.f.s.y
share of generation by fuel f given to unit i in State s during year y
average capacity factor for unit i in State s during year y
capacity of unit i burning fuel f in State s during year y
Next the actual generation for each unit is calculated as follows:
= Minimum! (S^ * GSA)V>, (8760 * MCF,,, * CUJ
where GUifs,
i.f.s.y
'i-f-s-y
MCFj,
generation by unit i using fuel f in State s during year y
share of generation by fuel f given to unit i in State s during year
y
total generation by fuel f in State s during year y
maximum capacity factor for unit i in State s during year y
capacity for unit i in State s during year y
Unit capacities, average capacity factors, and maximum capacity factors were taken from the
National Utility Reference File (NURF).2
It is possible that some electricity which would have been allocated to a given unit is in
excess of the limit imposed by the maximum capacity factor. This amount is calculated as:
where SE;
'i.f,s.y
amount of electricity shifted to other units due to the maximum
capacity factor limitation
6-34
-------
S:
i,f,s,y
GS
f,s,y
GU
i,f.s,y
share of generation by fuel f given to unit i in State s during year
y
total generation by fuel f in State s during year y
generation by unit i using fuel f in State s during year y
This value should be zero, but in cases where the calculated value is greater than zero, capacity
values are increased to reduce each unit's share. The NUMOD input file is then revised to
include the new capacities, and NUMOD is rerun.
Once unit-specific generation is calculated, the units in each E-GAS area are totaled to
give the E-GAS area generation for coal, oil, and gas. These values are output to the Crosswalk
input file ELEC.DAT by E-GAS area, year, and fuel.
6.6 NEURAL NETWORK DESIGN, TRAINING, AND VALIDATION
Unlike traditional models, neural networks are trained to produce their outputs through
repeated exposure to historic data and allowing them to learn from their mistakes. This process
continues until the network achieves a satisfactory level of accuracy. After training is complete,
networks are ready to be used as estimating/forecasting tools either on their own or as part of
larger models, as is the case with NUMOD. Once a neural network has been trained, further
training is usually not required unless new and/or better quality data become available.9
Neural networks are periodically evaluated during the training cycle by using them to
estimate/forecast output for historic data which were not used for training. Called an "out-of-
sample test", this procedure determines whether the neural network is actually learning to
estimate/forecast or only memorizing the data. The out-of-sample test is therefore a type of
independent test which is used as a validation tool.
6.6.1 Neural Network Training
All three neural networks were trained by the extended delta-bar-delta backpropagation
paradigm9 using a training procedure with two stages:
6-35
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• Stage 1: Networks were trained using 426 randomly selected.records from the
576 available. The remaining 150 records were used for out-of-sample testing.
Training and testing continued until an acceptable value for Pearson's r was
achieved and further learning stopped. Out-of-sample testing validated training
success and proved that no data memorization occurred. Pearson's r was also
calculated for all of the evaluation data and was found to be within the acceptable
range determined by previous testing of the random sample.
• Stage 2: Networks were retrained using all 576 data records. Training was halted
after Pearson's r values approximately equal to Stage 1 were achieved for all three
networks.
This procedure was adopted under the reasonable assumption that a network which learns
well with 426 records and shows no tendency to memorize the data will learn at least as well
from 576 (one third more) records and will not memorize data. Networks benefited from
exposure to the additional variety in the larger data set.4
The coal generation network was trained first and its output, coal generation, was used
as input to the oil and gas networks during their training. By doing this, the oil and gas networks
were taught to work with the coal network.
6-36
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6.6.2 Training, Out-of-sample Test, and Evaluation Results
Stage 1 values of Pearson's r are shown in Table 6-12 for each of the three neural
networks for learning, out-of-sample test, and all data evaluation, in which all 576 data records
were run through the network. The number of training repetitions, called the number of
"presentations", is also shown.
TABLE 6-12 STAGE 1 NEURAL NETWORK TRAINING RESULTS
Neural
Network
Coal
Generation
Oil
Generation
Gas
Generation
Number of
Presenta-
tions
50,000
70,000
70,000
Training
0.993
0.961
0.983
Pearson's r
Out-of-
Sample
Test
0.992
0.928
0.980
All-Data
Evaluation
0.993
0.970
0.982
Stage 2 values of Pearson's r are shown in Table 6-13. Because all 576 data records were
used in training, out-of-sample and all-data tests were redundant and were not performed.
TABLE 6-13 STAGE 2 NEURAL NETWORK TRAINING RESULTS
Neural •
Network
Coal Generation
Oil Generation
Gas Generation
Number of
Presentations
70,000
90,000
90,000
Pearson's r
0.992
0.970
0.981
6-37
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In all three cases, results of Stage 2 were very close to results of Stage 1. Slight
differences are due to the fact that there is a greater variety among 576 data records than 426
records. The neural networks will learn somewhat differently because of this. However,
differences are no more than 0.001, which is quite small.
6.6.3 Backcast Results
Figure 6-2 is a scatter plot of a backcast for all states for 1985 - 1991. Coal, oil, and gas
generation results arc plotted and log-log axes are used to accommodate differences in scale.
Historic data are on the horizontal axis and corresponding NUMOD backcast data on the vertical
axis. A 45 degree reference line is shown. If NUMOD had backcast historic generation perfectly
all points would lie exactly on the reference line. Deviation from the reference line is one way
of measuring error. However, the log-log plot accentuates error for low generation values, which
appear toward the left portion of the horizontal axis and the lower portion of the vertical axis.
6-38
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1000
100 _
Note: Log-log plot used to emphasize
results for oil & gas generation
0.01 _
0.001 _,
0.001
0.01
0.1 1
Historic Generation, 1985 -1991
1000
Figure 6-2. NUMOD Backcast, 1985 -1991
-------
6.7 REFERENCES
1. Edison Electric Institute. Statistical Yearbook of the Electric Utility Industry.
Washington, D.C. 1980-1991.
2. E.H. Pechan & Associates, Inc. 1985 NAPAP Utility Reference File. Database file
provided by Pechan.
3. North American Electric Reliability Council. Electricity Supply and Demand. Princeton,
New Jersey. 1980-1991.
4. Technical letter report. Ronald L. Capone to S. Kimbrough, U.S. Environmental
Protection Agency. Various dates.
5. U.S. Department of Commerce. Statistical Abstract of the United States, Washington,
D.C. Various years.
6. U.S. Department of Energy, Energy Information Administration. Electric Trade in the
United States. Washington, D.C. 1990.
7. U.S. Department of Energy, Energy Information Administration. State Energy Data
Report - Consumption Estimates 1960-1990. Washington, D.C. May 1992.
8. U.S. Department of Energy, Energy Information Administration. Inventory of Power
Plants in the United States 1992. Washington, D.C. October 1993.
9. NeuralWare, Inc. Neural Computing. Pittsburg, Pennsylvania. 1991.
6-40
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CHAPTER?
ESTIMATING PHYSICAL OUTPUT IN E-GAS
7.1 PHYSICAL OUTPUT: DEFINITION AND DATA SOURCES
EPA guidance suggests that, when possible, physical output be used to forecast emission
source growth.1 Physical output is measured using direct physical units such as tons of steel,
barrels of motor gasoline, numbers of computers, etc. When these data are not available, indexes
of physical production must be calculated. The ability to forecast physical output is particularly
important for VOC sources where the emissions are related to materials used in the production
process, such as surface coating operations. These emissions are directly related to the amount
of physical output produced and, therefore, growth in physical output is a better indicator of
emissions growth than value added, industrial earnings, or employment.
There are two ways that physical output is measured. The first is simply the direct
measure of actual physical output of an industry (e.g., tons of steel). The second method is
indirect and is used when direct measures data are not available. This measure is termed
"constant dollar output" and is calculated by converting value of shipments and inventory change
into constant dollars. The value of shipments added to an industry's inventory change over the
course of a year equals the value of goods produced in that year. These dollar output values are
then translated to dollar outputs for a base year (e.g., 1982) using price deflators (the ratios of
the price of the output in the current year divided by the price of the output in 1982) developed
for each year. These data series are usually termed industrial production or constant dollar
indexes.
The Survey of Current Business, which is considered a comprehensive source for physical
output data, compiles available physical output data on an annual basis.2 A sample of the
industries and products for which data are compiled is presented in Table 7-1. A second source
of physical output data is the Federal Reserve Board (FRB). The FRB has completed an index
of industrial production which contains data from 1977 to the present. This index is a
compilation of both actual physical output data and constant dollar indexes. The index is
constructed using data obtained from the Federal Reserve System, various government agencies,
7-1
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TABLE 7-1. SAMPLE OF PHYSICAL OUTPUT DATA
AVAILABLE FROM THE SURVEY OF
CURRENT BUSINESS
Transportation and Communication
Air Carriers
Domestic Operations
Scheduled service
Revenue passenger-miles (billions)
Cargo ton-miles (millions)
Mail ton-miles (millions)
Air Carriers - International Operations
Scheduled service
Revenue passenger-miles (billions)
Cargo ton-miles (millions)
Mail ton-miles (millions)
Urban Transit Industry - Passengers carried (millions)
Motor Carriers
Tonnage hauled, (revenue) (millions of tons)
Railroads and Travel
Traffic
Revenue ton-miles (net) of freight (billions)
Chemicals and Allied Products
Chemicals
Inorganic Chemicals
Production (thousands of short tons)
Aluminum sulfate, commercial
Chlorine gas
Hydrochloric acid
Phosphorus, elemental
Sodium hydroxide
Sodium silicate, anhydrous
Sodium sulfate
Titanium dioxide, composite and pure
Sulfur, native (Frasch) and recovered (thousands of metric tons)
Production
Stocks (producers'), end of period
Inorganic Fertilizer Materials
Production
Ammonia, synthetic anhydrous
Ammonium nitrate original solution
Ammonium sulfate
Nitric acid
(continued)
7-2
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TABLE 7-1. SAMPLE OF PHYSICAL OUTPUT DATA
AVAILABLE FROM THE SURVEY OF
CURRENT BUSINESS (continued)
Nitrogen solutions
Phosphoric acid
Sulfuric acid
Superphosphate and other phosphate fertilizers
Production
Stocks, end of period
Potash sales
Imports
Ammonium nitrate
Ammonium sulfate
Potassium chloride
Sodium nitrate
Chemicals and Alcohol
Industrial Gases - Production (millions of cubic feet)
Acetylene
Hydrogen * high and low purity
Nitrogen - high and low purity
Oxygen - high and low purity
Organic Chemicals - Production (millions of pounds, except as noted)
Acetylsalicylic acid (aspirin)
Ethyl acetate
Formaldehyde
Glycerin - refined, all grades
Methanol - synthetic (millions of tax gallons)
Phthalic anhydride
Ethyl Alcohol and Spirits (millions of tax gallons)
Production
Stocks, end of period
Alcohol, Plastics Materials, Paints, Varnish and Lacquer
Denatured Alcohol (millions of wine gallons)
Production
Consumption (withdrawals)
Total
For fuel use
Stocks, end of period
Plastics and Resin Materials, Production (millions of pounds)
Phenolic resins
Polyethylene and copolymers
(continued)
7-3
-------
TABLE 7-1. SAMPLE OF PHYSICAL OUTPUT DATA
AVAILABLE FROM THE SURVEY OF
CURRENT BUSINESS (continued)
Polypropylene
Polystyrene and copolymers
Polyvinyl chloride and copolymers
Paints, Varnish, and Lacquer, Shipments (millions of $), total
Food and Kindred Products; Tobacco
Alcoholic Beverages
Beer (millions of barrels)
Production
Distilled Spirits (millions of tax gallons, except as noted)
Total Production
Whisky
Production
Effervescent Wines (millions of wine gallons • 231 cubic inches)
Production
Still wines (millions of wine gallons)
Production
Distilling materials produced at wineries
Dairy Products (millions of pounds, except as noted)
Butter
Production (factory)
Cheese
Production (factory), total
Condensed and evaporated milk
Production, case goods
Fluid milk
Production on farms
Dry milk
Production
Grain and Grain Products
Barley (millions of bushels - 48 pounds, except as noted)
Production - crop estimate for the year
Corn (millions of bushels - 56 pounds, except as noted)
Production - crop estimate for the year, grain only
Oats (millions of bushels - 32 pounds, except as noted)
Production - crop estimate for the year
Rice (millions of pounds, except as noted)
Production - crop estimate for the year (millions of bags-100 Ib.)
Rye (millions of bushels - 56 pounds)
Production - crop estimate for the year
(continued)
7-4
-------
TABLE 7-1. SAMPLE OF PHYSICAL OUTPUT DATA
AVAILABLE FROM THE SURVEY OF
CURRENT BUSINESS (continued)
Wheat (millions of bushels - 60 pounds, except as noted)
Production (crop estimate for the year), total
Wheat Hour (thousands of sacks '100 pounds, except as noted)
Production
Poultry (millions of pounds)
Slaughter
Eggs (millions of cases)
Production on farms
Cattle and Calves (thousands of animals)
Slaughter - federally inspected
Hogs (thousands of animals)
Slaughter, federally inspected
Sheep and Lambs (thousands of animals)
Slaughter, federally inspected
Tobacco (millions of pounds)
Leaf Production - crop estimate for year
Manufactured products
Leather and Products
Leather
Exports (thousands of square feet)
Footwear
Production (thousands of pairs), total
Lumber and Products
Lumber (all types) (millions of board ft)
Production, total
Softwoods (millions of board ft.)
Douglas Fir
Production
Southern Pine
Production
Softwoods and Hardwood Flooring (millions of board ft)
Softwoods
Western pine
Production
Hardwood Flooring - Oak flooring
Shipments
Metals and Manufactures
Iron and Steel (thousands of short tons, except as noted)
Iron and Steel Scrap
Production
(continued)
7-5
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TABLE 7-1. SAMPLE OF PHYSICAL OUTPUT DATA
AVAILABLE FROM THE SURVEY OF
CURRENT BUSINESS (continued)
Iron Ore - Operations in all U.S. Districts (thousands of long tons)
Mine production
Pig Iron
Production
Iron Products - castings (thousands of short tons)
Gray and ductile iron - shipments, total
Malleable iron - shipments, total
Steel, Raw and Semifinished (thousands of short tons)
Steel, raw - Production, total
Steel Products, Net Shipments - By Product (thousands of short tons)
Total (all grades)
Bars and tool steel, total
Sheets and strip, total
Aluminum (thousands of metric tons, except as noted)
Production, primary (from domestic and foreign areas)
Aluminum Products (millions of pounds)
Shipments
Copper (thousands of metric tons, except as noted)
Copper production
Copper-Base Mill and Foundry Products - Shipments (millions of pounds)
Brass mill (copper mill) products
Copper wire mill products (copper content)
Brass and bronze foundry products
Lead (thousands of metric tons, except as noted)
Production
Tin (metric tons)
Recovery from scrap (tin content), total
Zinc (thousands of metric tons, except as noted)
Mine production, recoverable zinc
Slab zinc
Production
Heating, Combustion, and Atmosphere Equipment - New orders
(domestic), net (millions of $), total
Industrial Supplies, Machinery, Equipment (1977 = 100)
Industrial suppliers distribution
Sales index, seas. adj.
Inflation index, not seas. adj.
Fluid Power Products, Shipments, (Index, 1985 = 100)
Hydraulic
Pneumatic
(continued)
7-6
-------
TABLE 7-1. SAMPLE OF PHYSICAL OUTPUT DATA
AVAILABLE FROM THE SURVEY OF
CURRENT BUSINESS (continued)
Tractors Used in Construction Industry, Shipments
Tracklaying
Units
Tractor shovel loaders (integral units), wheel and tracklaying
Electrical Equipment (thousands)
Batteries (automotive replacement type), shipments
Radio sets, total market, production
Television sets, total market production
Household major appliances, factory sales, total
Vacuum cleaners
Gas Equipment - Residential equipment sales
Furnaces (warm air)
Ranges
Water heaters (storage)
Pulp, Paper, and Paper Products
Pulpwood (thousands of cords - 128 cu. ft.)
Consumption
Waste Paper (thousands of short tons)
Consumption
Woodpulp (thousands of short tons)
Production, total
Paper and Board (thousands of short tons)
Production, All grades, total
Selected Types of Paper (thousands of short tons)
Groundwood paper, uncoated
Orders
Tissue paper - Production
Newsprint (thousands of metric tons, except as noted)
Production
Rubber and Robber Products
Natural Rubber (thousands of metric tons)
Consumption
Synthetic Rubber (thousands of metric tons)
Production
Pneumatic Casings (thousands)
Production
Inner Tubes, Exports (thousands)
(continued)
7-7
-------
TABLE 7-1. SAMPLE OF PHYSICAL OUTPUT DATA
AVAILABLE FROM THE SURVEY OF
CURRENT BUSINESS (continued)
Stone, Clay, and Glass Products
Portland Cement - Shipments (thousands of barrels)
Clay Construction Products
Shipments
Brick (mil. of standard brick)
Structural tile, except facing (thousands of short tons)
Sewer pipe and fittings, vitrified (thousands of short tons)
Floor and wall tile and accessories (mil. of sq. ft.)
Glass Containers (thousands of gross)
Production
Gypsum and Products (thousands of short tons)
Production
Textile Products
Woven Fabrics, Finishing Plants (millions of linear yards)
Production, total
Cotton Fiber (thousands of running bales)
Production (ginnings)
Cotton Cloth
Broad woven goods over 12 inches in width
Production (millions of sq. yards)
Manmade Fibers (millions of pounds)
Production
Acetate filament yarn
Staple, including tow (rayon)
Noncellulosic, exc. textile glass
Yarn and monofilaments
Staple, including tow
Textile glass fiber
Manmade Fiber Manufacturers
Production - Fabrics (broadwoven), manmade fiber (millions of square
yards)
Manmade fiber and silk fabrics, gray, total
Filament yam (100%) fabrics, total
Spun yarn (100%) fabrics, total
Acetate filament and spun yam fabrics
Wool and Manufactures
Production - Woolen and worsted woven goods (Mil. of sq. yds.)
Floor Coverings - Carpet, rugs, carpeting - shipments (mil. of sq. yds.)
Apparel (thousands of units, except as noted)
Women's
Men's
(continued)
7-8
-------
TABLE 7-1. SAMPLE OF PHYSICAL OUTPUT DATA
AVAILABLE FROM THE SURVEY OF
CURRENT BUSINESS (continued)
Transportation Equipment
Aircraft (complete) (millions of $)
Shipments
Value
Airframe weight (thous. of pounds)
Passenger Cars (new) (thousands of units, except as noted)
Trucks and Buses (new) (thousands of units)
Truck Trailers, New - Shipments (Number)
Trailers and chassis, Total complete units
Trailer bodies (containers) - Detachable, sold separately
Trailer chassis and running gear - Detachable, sold separately
Freight cars, new (excluding rebuilt), (Number)
7-9
-------
trade associations, and the Bureau of Labor Statistics, compiled at the three- and four-digit SIC
levels. The indexes have been updated to reflect the most recent available data.3
The FRB index uses direct physical measures where they are available. For industries
lacking comprehensive physical-product data, changes in physical output are estimated using
production indexes published every five years by the Census Bureau. These indexes are
constructed by converting dollar output values into constant dollar values, yielding comparable
indicators of physical production for 1977, 1982, and 1987. If, for example, the constant dollar
outputs for the chemical industry were 100 and 105 in 1982 and 1987, respectively, this means
that the amount of physical output was five percent greater in 1987 than in 1982.
In order to develop production estimates for 1978-81, 1983-86, and 1988-89, physical
product indexes were developed by FRB staff. These indexes are conceptually similar to the
indexes of production developed by the Census Bureau and use dollar output data from the
Annual Survey of Manufacturers and price deflators from the Bureau of Economic Analysis.
In order to develop physical production indexes for the 250 individual manufacturing
sectors, a technique has been developed to estimate the proportion of value added that is
attributable to each of the individual sectors. This technique uses physical product data,
industrial electricity consumption, and total production-worker hours.3 Details of the technique
are not discussed here. For a detailed description of the technique see The Federal Reserve
Bulletin, April, 1990.3
7.2 FORECASTING PHYSICAL OUTPUT
There are two general approaches that can be used to forecast physical output. The first
method correlates changes in employment with changes in physical output. The second method
correlates changes in value added with changes in physical output. Both of these methods are
discussed in this section.
7.2.1 Forecasting Physical Output Using Employment Data
When physical output is forecast using employment data, three factors need to be
considered: (1) the number of workers, (2) the productivity of the labor force; and (3) the number
7-10
-------
of direct physical units per dollar of material produced by an industry. The relationship between
physical output and these variables is given in Equation 1:
units. =
LAB. x PROD, x
unit.
LABa x PRODn
(1)
where:
unitsn
LABn
PROD..
(unitn/LABn x PRODn)
the physical output of industry n
the number of workers in industry n
the productivity of workers in industry n, where
productivity is measured as dollar value added per
worker in industry n
units of physical output in industry n per dollar of
value added in industry n
The effect of the first of these factors, number of workers, is obvious: a change in the
amount of labor employed must lead to a change in the total value of an industry, otherwise
hiring decisions would not be rational. The second factor, productivity of the labor force,
accounts for the historical increase in the amount of output (typically measured in dollar value
added) per worker. The product of these factors, number of workers and value added per worker,
equals the value added of an industry. Both of these factors are relatively easy to forecast.
Forecasts of the number of workers in an industry are based on a number of identifiable factors;
most economic models produce forecasts of industrial employment. In the post-World War n
period, output per worker has increased, on average, about two percent per year, and this trend
is expected to continue.4 For the purposes of forecasting productivity increases, the forecasts by
the President's Council of Economic Advisors can be used. CEA estimates that annual
productivity will grow by 2.2 percent over the 1990-2030 tune period, with component annual
increases of 2.8 and 1.7 percent for 1990-2010 and 2010-2030, respectively.4
The third factor affecting physical output is the number of physical units per dollar of
value added in an industry. Although physical output will be forecast at the three- and four-digit
SIC level where product classification is fairly narrow, there can still be considerable changes
in output over time which are not easily modeled. For example, SIC 357 is defined as office and
7-11
-------
computing machines and includes computers, typewriters, calculators, and other office machines.
This sector experienced tremendous growth between 1977 and 1987 when value added more than
doubled in the sector. However, the physical production index more than tripled during the same
period, which means that the unit output per dollar value added increased significantly in this
period. Rapid movements in output per dollar can be difficult to explain precisely, but there are
identifiable general factors which will cause such movements.
The number of physical units per dollar value added in SIC 357 will be affected by two
factors: the proportion of each product type to total production and the average price per product
type. In the example above, the proportion of product types is simply the percent that computers,
typewriters, calculators, and other machinery contribute to the value added of the sector. The
increase in the units per dollar value (or, equivalently, the decrease in the price per unit) in the
1982-87 period could have been caused by an increasing percentage of less expensive items (e.g,,
calculators) being produced or a decrease in the price of one or more goods in the sector.
Changes in units per dollar value added are difficult to explain without a detailed examination
of the sector and may be very difficult to forecast. However, the general movement of units per
dollar value added may be captured with a time trend.
There are two types of physical output data. The first is the direct physical measure of
output (e.g., tons of steel) and the second is a physical production index, such as those
constructed by FRB. These two measures of physical output must be forecast using different
methods. The factors affecting physical measures of output were described in Equation 1. This
equation expresses physical output as a function of the number of workers in an industry, the
productivity of the workers, and units per dollar value added in an industry. Regression
equations can be developed from the relationship in Equation 2. This form is:
labor x
n
labor.
(2)
7-12
-------
where:
laborn
VA,
A
T
a,b
the number of workers in hidustry n
the value added in industry a
the intercept of the equation,
a time variable used to capture the change in physical output per dollar
value added
estimated parameters
Growth factors for physical output in industry "n" and year "t" can then be calculated
using Equation 3:
(lABn -
nJ
PROD.
PROD,
90
«r-1990)
(3)
where:
A, a, and b
t(LABn,t - LABD>90)*(PRODt / PROD*)]
the physical output growth factor for
industry "n" in year "t"
the estimated parameters derived
from Equation 2
the change in productivity from 1990
to the year "t"
7.2.2 Forecasting Physical Output Using Value Added Data
To develop a physical output forecast using value added data, two factors are considered
directly: (1) value added; and (2) physical units per dollar value added. This approach differs
from forecasting physical output using employment data in one way. The use of employment
forecasts requires the use of productivity forecasts in order to develop value added forecasts.
This approach uses actual value added forecasts rather than constructing them from employment
and productivity forecasts. The relationship between physical output and value added is given
in Equation 4:
7-13
-------
where:
units
unit,
VA x 1
VA.
(4)
unitsn = the physical output of industry n
VA,, = value added in industry n
The effects of changes in value added and units per value added were described in the
previous section which discussed forecasting value added with employment data.
Equation 4 expresses physical output as a function of value added and units of output
per unit of value added. In developing regression equations using value added output, an
additional variable, capacity utilization, was included. The addition of the capacity utilization
variable helps control for fluctuations in physical output and value which occurred in certain
industries in the 1970s and 1980s.3 The form of these regression equations can be described as:
(A x VAHa x ebT x eBCu)
(5)
where:
A
V
T
CU e
a,b3 =
the intercept of the equation
value added in industry n
a time variable used to capture the change in physical output per dollar
value added
capacity utilization
estimated parameters
Growth factors for physical output in industry "n" and year "t" can then be calculated
using Equation 6:
,4(7-1990)
(6)
7-14
-------
where:
G.F.
a and b
(VA,., /
the physical output growth factor for industry "n" in
year "t", where 1990 is the base year
the estimated parameters derived from Equation 5
the growth in value added in industry n from 1990
to the year "t"
This growth factor does not include the capacity utilization factor. While capacity
utilization helps explain changes in physical output in the 1970s and 1980s, the REMI models
do not forecast capacity utilization. Therefore, the capacity utilization is assumed to remain
constant over the forecast period, i.e., the ratio of capacity utilization in any forecast year to
capacity utilization will always equal one and, therefore, will not affect the growth factor.
7.3 PHYSICAL OUTPUT IN E-GAS
7.3.1 Forecasting
The physical output module in E-GAS uses value added to forecast physical output for
two reasons. First, EPA guidance suggests that value added be used to forecast physical output
when the data are available. For sectors for which physical output bridge equations are not
developed, growth in value added will be used as a proxy for growth in physical output. Thus,
the use of value added data in the bridge equations maintains consistency within the physical
output module. Second, the concurrent version of the REMI models, used when the E-GAS
model plan was being developed, only forecasts value added for 14 sectors. The structure of the
bridge equations which used employment data was developed during this time. However, the
generation of REMI models which are used in E-GAS include the capability of forecasting value
added for 210 sectors. For these reasons, E-GAS uses value added data to forecast physical
output.
Sectors for which physical output equations have been developed will also be forecast
using Equation (6). The development of equations for these sectors uses regression techniques
to define the parameters "a" and "b" for the specific sector. In the absence of sector-specific
parameters, a default value of one is used for "a" and a default factor of zero is used for "b."
7-15
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This results in physical output growth estimates which are proportional to growth in value added
in the sector.
7.3.2 Sources for Which Physical Output Equations Are Developed
Equations have been estimated for eleven VOC categories. The source used to compile
the series of physical production data is the Survey of Current Business.2 Point source categories
for which physical output equations were developed include auto surface coating, paper surface,
and rubber and synthetic fibers. The area source categories for which equations were developed
include petroleum refinery fugitives, surface coating of fabricated metals, gasoline marketed,
asphalt, auto surface coating, paper surface coating, rubber and synthetic fibers, and general
surface coating.
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7.4 REFERENCES
1. U.S. Environmental Protection Agency. Procedures for Preparing Emissions Projections.
EPA-450/4-91-019 (NTIS PB91-242404). Office of Air Quality Planning and Standards.
Research Triangle Park, NC. July, 1991.
2. U.S. Department of Commerce. Survey of Current Business. Washington, D.C. Various
years.
3. Federal Reserve Board. "Industrial Production: 1989 Development and Historical
Revision", Federal Reserve Bulletin. Washington, D.C. April, 1990.
4. Schmalensee, R. Council of Economic Advisors. "Long-Term Forecasts," memorandum
to Larry Jones, U.S. Environmental Protection Agency. June 4, 1991.
5. Boyd, G.A., B.C. Kokkelberg, and M.H. Ross. Sectoral Electricity and Fossil Fuel
Demand in U.S. Manufacturing: Development of the Industrial Regional Activity and
Energy Demand (INRAD) Model Argonne National Laboratory. Argonne.IL. February,
1990.
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CHAPTER 8
METHODOLOGY USED TO FORECAST
VEHICLE MILES TRAVELED IN E-GAS
8.1 INTRODUCTION
Several options for projecting activity for highway mobile sources were considered for
E-GAS. This chapter discusses these options and describes the approach used in E-GAS for
projecting mobile source activity. The primary activity measurement used for highway mobile
source inventory purposes is vehicle miles traveled (VMT) by road and vehicle type. Thus, the
projection methods studied during E-GAS development concentrated on estimating area- and
State-specific growth factors for VMT.
The options considered can be divided into two general groups: relatively simple trend-
based approaches; or more sophisticated models, which are comprised of detailed national-level
projections based on econometric methods, followed by allocation from the national to State
level.
8.2 TREND-BASED APPROACHES
The only available uniform national data source for VMT data that could be used in trend-
based approaches to VMT projections is the Highway Performance Monitoring System. Other
specific trend-based approaches could be used to develop area-specific VMT projections using
HPMS and other simple data sources. Approaches considered include: direct regression-based
projection of historic HPMS VMT for an area; bounding of historic VMT trend projections with
demographic and/or economic projections; and use of trends in indexes such as VMT per capita
and per unit of industrial output. The first option was included since it is the second method
(after local travel demand modeling) specified in the EPA projection guidance. The second
option represents an attempt to bound longer-term projections using the first option, since the
EPA guidance prescribes using only six years of HPMS data due to previous changes in HPMS
area coverage. The third option uses indices of VMT/population and VMT/economic activity to
8-1
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address concerns raised by observations that VMT growth rates have been increasing faster than
the growth in population or vehicle ownership over the past 40 years.
8.2.1 The Highway Performance Monitoring System
The HPMS is a large transportation data collection, analysis and reporting system which
is a cooperative effort involving State transportation agencies and the Federal Highway
Administration (FHWA). The purpose of the HPMS is to provide a procedure in which the
nation's functional system of highways is analyzed based on data annually sampled by all States.
HPMS is composed of two major components, data collection and analytical process, which are
described below. These descriptions are derived from two publications documenting HPMS
Version 2.1, the Technical Manual and the User's Guide.1
8.2.1.1 HPMS Data Collection
Three types of data are reported in the HPMS. First, universe mileage data include a
complete inventory of mileage classified by system, jurisdiction, and selected operational
characteristics. Second, sample data include specific inventory, condition, and operational data
obtained for the sample panels of highway sections. These data are expanded to represent the
universe of highway mileage, permitting evaluation of the performance of the various highway
systems. Finally, area-wide data are reported annually for rural, total small urban, and individual
urbanized areas. These are used in conjunction with universe and sample data. Area-wide data
consist of totals for mileage, daily vehicle miles of travel, accidents, local system data, land area,
population, and travel activity by vehicle type.
The HPMS is based on approximately 110,000 samples of functional system mileage.
Data collected from these samples or "sections" represent extensive information on pavement
attributes, geometries, traffic conditions, and operating characteristics. Seventy-eight attributes
are collected through HPMS. Some of the operating characteristics that are collected include:
functional system, type of facility, average annual daily traffic (AADT), future AADT (user
estimated), speed limit, peak capacity, K factor (design hour volume as a percentage of the
annual average daily traffic), percent commercial vehicles, signalization, green time, and peak
parking.
8-2
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Prior to 1993 States had two options for collecting HPMS data. Option one allows States
to aggregate or group data into three classifications: rural, small urban, and grouped urbanized
area. All urbanized areas are treated as an aggregate regardless of the number of individual
urbanized areas in the State. In this option, there are fewer total sections sampled; each
functional class and corresponding volume group is statistically represented at the statewide level
for each of the classifications. Data in option one are collected at an 80 percent confidence level
with a 10 percent estimate of allowable error for the following facility types: interstates, other
freeways and expressways, other principal arterials, minor arterials, and collectors.
The second option consists of sampling individual urbanized areas on a statistically valid
basis. Sampling individual urbanized areas requires that more sections be sampled. For States
with three or fewer urbanized areas, the design precision for all functional classes and volume
strata is an 80 percent confidence level at a 10 percent allowable error. For States with more
than three urbanized areas, the sampling precision is a 70 percent confidence level at a IS percent
allowable error for minor arterials and collectors. For principal arterials and above, the sampling
precision represents an 80 percent confidence level with a 10 percent allowable error. For States
choosing this option, the following facility types are required to be sampled: interstates, other
freeways and expressways, other principal arterials, minor arterials, and collectors. Currently,
there are over 190 urbanized areas that are sampled on an individual basis under this approach.
Local roads are not sampled on a section-by-section basis. However, States are required
to submit aggregate summary area-wide tables for each individual urbanized area for mileage and
daily vehicle miles traveled (DVMT) for each functional class.
The FHWA issued revised HPMS data collection requirements in the August 30, 1993
update to the Highway Performance Monitoring System (HPMS) Field Manual that essentially
requires full sample panels for all urban areas with a population of 50,000 or more. In addition,
coordination of consistent sampling approaches is being promoted for multi-State urbanized areas.
Estimates of DVMT by functional system are prepared for rural, small urban, and
individual urbanized areas of the State on an annual basis. These DVMT estimates are important
to the analyses of vehicle operating costs, travel time, fuel consumption, and emissions.
Development of HPMS estimates of highway travel by functional system are derived using
count-based traffic data. The procedures entail traffic counting one-third of the sample sections
and one-sixth of the non-sample interstate universe sections each year, and the application of
8-3
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correction factors, such as weekday/weekend and seasonal, to machine-generated counts. Growth
factors are applied to sections not counted in the current year.
8.2.1.2 HPMS Analytical Process
The HPMS analytical process provides information on future highway system conditions
based on the level of funding provided for capital improvements. The analytical process analyzes
data for each highway section and expands the results to represent each functional system. These
functional systems are as follows:
Rural
Principal arterial - Interstate
Other principal arterial
Minor arterial
Major collector
Minor collector
Local
Urban
Principal arterial - Interstate
Principal arterial - Other freeway
Other principal arterial
Minor arterial
Collector
Local
. The HPMS analytical process consists of six modules: (1) Needs, (2) Investments, (3)
Impact, (4) Composite Index, (5) Multiple Deficiency, and (6) Deferred Cost. All but the Impact
Module are concerned with transportation system analysis and planning. The Impact analysis
module simulates the operation of vehicles on the highway and produces some key performance
measures, such as operating cost, fuel consumption, average overall travel speed, and emissions.
All can be calculated by functional system for rural and urban areas., The purpose of the impact
analysis is to provide comparison of vehicle performance measures under various scenarios.
These comparisons can be made among the target years for several scenarios or between a base
year and a target year for a particular scenario. The emissions component of this module is not
applicable to the contexts currently required by EPA SIP inventory guidance.
Thus, the major HPMS asset for emission inventory projection is the historical database
of VMT estimates available for all States and for approximately 400 individually reported areas
which include whole urban areas and fractions of multi-State urban areas. These data cover a
total of about 190 urban areas. Annual VMT data for these areas, broken down by functional
8-4
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road type and vehicle type, can be obtained in electronic media from the FHWA Office of
Highway Information Management.
8.3 TRENDS IN VMT INDEXES
With historic HPMS and Census data, it is possible to create regression-based
extrapolations of area-specific trends in car VMT per capita and truck VMT per total area
industrial or economic output. These indexes could then be used with area-specific population
and industrial/economic output from the REMI models to produce overall VMT projections. This
type of approach would have the advantage of directly considering the national trends in
population, automobile ownership, and automobile-related VMT illustrated in Figures 8-1 and 8-2
while accounting for possible local variations2. Existing detailed analyses of these types of
indexes have not been identified, so there may be some unanticipated aspects or problems with
applying this principle on a small scale which would not be revealed until VMT indexes have
actually been created for a variety of areas.
8.4 ECONOMETRIC APPROACHES
Many econometric and statistical or analytical approaches have been developed for the
projection of VMT at various levels and for different types of applications. These include a
number of computer-based modeling systems that are suitable for application in mobile source
emission inventory projection. Examples of such modeling systems include the ANL/NAPAP
developed Transportation Energy and Emissions Modeling System (TEEMS), the U.S. EPA
MOBILES Fuel Consumption Model, the Department of Energy's similar Highway Fuel
Consumption Model, the Alternative Motor Fuel Use Model developed by Oak Ridge National
Laboratory and the FHWA/Faucett VMT Forecasting Model.**
While it is beyond the scope of E-GAS to include a transportation demand model in the
system, many areas which use E-GAS may also use a computer-based VMT model. Descriptions
of some of these modeling systems were included in the E-GAS model plan.
8-5
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8.5 METHODOLOGY USED IN E-GAS
The methodology used in E-GAS to develop VMT growth factors is a two-phase
methodology. As described below, the first phase extends to 1996 and the second forecasts from
1997 to 2015.
In the first phase, linear regression of HPMS VMT data for 1985 through 1990 is used
to project VMT for each year through 1996. Growth factors based on 1990 are then calculated
based on the future projections and the actual 1990 VMT from HPMS. This is based on the
"Historical Area-Wide VMT Method" in EPA's guidance which calls for an ordinary least
squares linear regression extrapolation of the area's 1985-1990 HPMS reports for the Federal Aid
Urbanized Area (FAUA) according to the following equations:7
and
where:
VMTitpConstant + (Trend * Year Index)
Constant
Trend
Year Index
E-GAS area
year (1991-1996)
regression constant
regression X-coefficient
year - 1985(0*1985, 1=1986,...,30=:2015)
Table 8-1 contains the constant and trend values for each E-GAS area as well as the
resulting coefficient of determination (r2). Since this method relies on a fairly limited historical
data set,the EPA guidance restricts its usage to short-term projections. For E-GAS purposes, it
was felt that extension beyond 1996 would be inappropriate. Thus, a second phase of E-GAS
VMT growth factors was developed to cover beyond 1996,
8-8
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TABLE 8-1. VMT COEFFICIENTS, TREND VARIABLES, AND R2 VALUES
E-GAS Area
Boston
Greater Connecticut
Portsmouth
Providence
Springfield
Rest of New Hampshire
Maine
Vermont
New York-New Jersey-Long Island
Baltimore
Philadelphia-Wilmington-Trenton
Washington, DC
Huntington-Ashland
Rest of New York
Rest of 'New Jersey
Rest of Pennsylvania
Rest of Delaware
Rest of Virginia
Constant
-2,213,233
-1,003,097
-271,649
-1,570,166
-651,598
-2,450,632
-3,391,881
-1,420,744
-12,915,602
-219,729
-3,703,887
-3,841,940
-143,023
-10,620,763
-1,106,799
-7,878,636
-1,272,241
-11,214,229
Trend
1139.83
511.94
137.83
795.94
332.23
1244.25
1721.41
722.11
6605.77
1122.29
1894.97
1963.34
73.20
5419.70
579.84
4053.68
648.53
5706.14
r2
0.953
0.889
0.776
0.792
0.939
0.891
0.899
0.949
0.925
0.980
0.916
0.911
0.727
0.984
0.499
0.957
0.919
0.974
(continued)
8-9
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TABLE 8-1. VMT COEFFICIENTS, TREND VARIABLES, AND R2 VALUES
(continued)
E-GAS Area
Rest of West Virginia
Rest of Maryland
Atlanta
Louisville
Rest of Kentucky
Rest of Georgia
Tennessee
North Carolina
Mississippi
Alabama
South Carolina
Florida
Chicago-Gary-Lake County
Milwaukee-Racine
Muskegon
Sheboygan
Cincinnati-Hamilton
St. Louis
Constant
-2,831,907
-3,668,540
-8,183,122
-892,771
-10,211,133
-10,039,952
•11,153,189
•14,251,206
-6,014,090
-9,045,252
-8,258,006
-2,877,134
-7,789,887
-1,725,723
-131,930
-59,050
-1,895,943
-4,123,265
Trend
1443.36
1866.77
4146.97
457.63
5167.91
5107.20
5670.14
7248.38
3055.34
4603.76
4197.26
14612.52
3976.20
881.77
67.31
30.11
965.26
2094.94
r2
0.973
0.992
0.736
0.886
0.881
0.903
0.964
0.991
0.954
0.918
0.993
0.902
0.976
0.962
0.911
0.981
0.831
0.965
(continued)
8-10
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TABLE 8-1. VMT COEFFICIENTS, TREND VARIABLES, AND R2 VALUES
(continued)
E-GAS Area
Rest of Illinois
Rest of Indiana
Rest of Wisconsin
Rest of Ohio
Rest of Michigan
Rest of Minnesota
Houston-Gal veston-Brazoria
Baton Rouge
Beaumont-Port Arthur
El Paso
Rest of Texas
Rest of Louisiana
New Mexico
Oklahoma
Arkansas
Rest of Missouri
Kansas
Nebraska
Constant
-5,937,736
-17,145,192
-6,539,633
-14,406,296
-14,341,830
-6,643,399
-6,067,689
-735,082
-227,636
-838,881
-8,836,962
-6,119,160
-3,470,198
-2,493,519
^,457,528
-10,779,339
-3,792,573
-2,031,430
Trend
3039.00
8686.59
3332.81
7351.84
7319.38
3391.86
3086.20
373.63
116.26
426.34
4617.31
3121.40
1766.42
1298.71
2268.88
5510.64
1937.06
1040.23
r2
0.990
0.849
0.979
0.940
0.949
0.997
0.935
0.624
0.902
0.982
0.763
0.560
0.884
0.906
0.984
0.894
0.993
0.973
(continued)
8-11
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TABLE 8-1. VMT COEFFICIENTS, TREND VARIABLES, AND R2 VALUES
(continued)
E-GAS Area
Iowa
Colorado
Utah
Wyoming
North Dakota
South Dakota
Montana
Idaho
Oregon
Washington
Los Angeles-South Coast Air Basin
San Diego
Ventura County
Sacramento Metro
San Joaquin Valley
Rest of California
Nevada
Arizona
Constant
-3,298,974
-1,395,027
-2,863,363
-542,501
-356,115
-785,782
-977,401
-1,941,484
-5,769,205
•11,810,281
•23,253,892
-5,152,668
•27,223,362
-1,943,996
-1,156,461
•27,223,362
-2,777,337
•16,774,539
Trend
1689.47
739.10
1458.79
280.63
187.08
404.38
502.78
988.34
2936.13
5997.10
11813.17
2615.51
13865.27
988.80
588.94
13865.27
1409.47
8481.49
r2
0.963
0.664
0.971
0.842
0.991
0.929
0.887
0.738
0.982
0.982
0.979
0.984
0.989
0.979
0.960
0.989
0.986
0.844
8-12
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The second phase is based on overall national VMT growth as projected by the EPA
MOBILE4.1 Highway Fuel Consumption Model (HFCM), with allocation of this national growth
to individual E-GAS areas using the relative population growth predicted by that area's REMI
population projection as follows:
Growth^ = (VMTusyVMTUSil990) *
where: i = E-GAS area
j = year (1997 - 2015)
/ (POPUSJ/POPUS,1990)
Table 8-2 and Figure 8-3 show the national projections from the HFCM. HFCM is based
on longer-term VMT trends and thus is not effected as much be short-term fluctuations in VMT.
Since this trend is essentially linear, only the overall (i.e., linear) growth rate to 2015 was used
in E-GAS.
TABLE 8-2. NATIONAL VMT FROM MOBILE 4.1 FUEL CONSUMPTION MODEL
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
Total VMT
1799.55
1845.65
1892.30
1939.42
1987.10
2035.45
2082.04
2129.14
2176.71
2224.78
2273.36
2321.19
2369.60
Year
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
Total VMT
2418.46
2467.49
2517.29
2566.97
2617.10
2667.72
2718.81
2770.22
2822.23
2874.74
2927.71
2981.11
3035.01
8-13
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Due to differences in the phase 1 and phase 2 methods and data, there are some ares in which
these approaches yield different results. To provide some perspective on the magnitude of these
differences, Table 8-3 gives the phase 1 growth factor for 1996, the phase 2 growth factor for
1999 (the next year likely to be used in most inventory applications), and the difference (growth
or decline) between these two factors. For E-GAS purposes, HPMS data for individual areas
were obtained directly from the Federal Highway Administration (FHWA) and totals for States
were obtained from published tables in Highway Statistics.6 In the development of E-GAS
projections, these data were examined in detail and coefficient of determination values for each
area's data set for 1985-1999 were obtained when regressions were run. In a small number of
cases, the FHWA data indicate sudden increases or decreases in the VMT reported for an area.
Such changes may be due to a redefinition of the boundaries of .the urbanized area or a
reclassification of some roadway segments. Improvements in data collection methods may also
be reflected in the VMT reported from year to year. If an area has information that will allow
improvements in accuracy to be applied consistently to earlier VMT data, it may want to adjust
the VMT reported to HPMS. Such an adjustment should be sent for peer review and comment
to the Federal Highway Administration regional office having jurisdiction.
In some cases, VMT growth between 1985 and 1990 is somewhat uneven. For example,
VMT might have grown rapidly from 1985 to 1988 and then leveled off between 1989 and 1990
due to the recession. This results in a low regression r2. In this case, it may not be appropriate
to use the regression results if future VMT growth is expected to follow the 1985 to 1988 trend.
EPA's Office of Mobile Sources will work with any area that finds itself in this situation.
For many areas, the projections from the first and second E-GAS projection phases are
reasonably consistent. In so far as differences exist, they are generally due to the influences of
short-term economic fluctuations affecting the underlying HPMS data used to construct the Phase
1 growth factors. In any case, it should be emphasized that these methods and data should be
examined closely by E-GAS users. E-GAS is intended to be used as an additional tool in the
projection process, and use of local knowledge related to VMT trends and projection is preferred,
as stated in the EPA guidance. To the extent that revised HPMS or other verified local VMT
data sets are available and believed to be more reliable than those used in E-GAS, the user
should consider their use in creation of projections to be submitted for any E-GAS VMT
projection. Use of the "Network-Based Travel Demand Modeling Process Methodology" cited
8-14
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in the Section 187 VMT Forecasting and Tracking Guidance1 is definitely .preferable to use of
E-GAS projection factors in any area where an appropriate model exists (according to criteria in
the guidance document).
TABLE 8-3. 1996 PHASE 1 GROWTH, 1999 PHASE 2 GROWTH, AND
DIFFERENCES
E-GAS Area
Boston
Greater Connecticut
Portsmouth
Providence
Springfield
Rest of New Hampshire
Maine
Vermont
New York-New Jersey-Long Island
Baltimore
Philadelphia- Wilmington-Trenton
Washington, DC
Huntington-Ashland
Rest of New York
Rest of New Jersey
1996
1.13
1.22
1.39
1.32
1.22
1.34
1.35
1.29
1.20
1.18
1.19
1.20
1.13
1.10
1.11
1999
1.16
1.20
1.23
1.16
1.15
1.21
1.19
1.23
1.21
1.29
1.19
1.27
1.14
1.15
1.25
% Difference
3.0
-2.0
- 16.0
- 16.0
-7.0
- 13.0
- 16.0
-6.0
1.0
11.0
0.0
7.0
1.0
5.0
14.0
(continued)
8-15
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TABLE 8-3. 1996 PHASE 1 GROWTH, 1999 PHASE 2 GROWTH, AND
DIFFERENCES (continued)
E-GAS Area
Rest of Pennsylvania
Rest of Delaware
Rest of Virginia
Rest of West Virginia
Rest of Maryland
Atlanta
Louisville
Rest of Kentucky
Rest of Georgia
Tennessee
North Carolina
Mississippi
Alabama
South Carolina
Florida
Chicago-Gary-Lake County
Milwaukee-Racine
Muskegon
1996
1.12
1.24
1.26
1.21
1.25
1.45
1.17
1.48
1.21
1.28
1.26
1.09
1.24
1.27
1.31
1.19
1.20
1.22
1999
1.21
1.32
1.26
1.09
1.24
1.35
1.21
1.14
1.16
1.25
1.23
1.13
1.36
1.23
1.45
1.23
1.21
1.15
% Difference
9.0
8.0
0.0
- 12.0
- 1.0
- 10.0
4.0
-34.0
-5.0
-3.0
-3.0
4.0
12.0
-4.0
14.0
4.0
1.0
-7.0
(continued)
8-16
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TABLE 8-3. 1996 PHASE 1 GROWTH, 1999 PHASE-2 GROWTH, AND
DIFFERENCES (continued)
E-GAS Area
Sheboygan
Cincinnati-Hamilton
St. Louis
Rest of Illinois
Rest of Indiana
Rest of Wisconsin
Rest of Ohio
Rest of Michigan
Rest of Minnesota
Houston-Galveston-Brazoria
Baton Rouge
Beaumont-Port Arthur
El Paso
Rest of Texas
Rest of Louisiana
New Mexico
Oklahoma
Arkansas
1996
1.22
1.18
1.29
1.17
1.44
1.23
1.17
1.22
1.19
1.29
1.22
1.21
1.28
1.10
1.17
1.26
1.09
1.24
1999
1.16
1.22
1.21
1.17
1.19
1.20
1.20
1.20
1.24
1.34
1.24
1.19
1.29
1.25
1.14
1.30
1.13
1.20
% Difference
-6.0
4.0
-8.0
0.0
-25.0
-3.0
3.0
-2.0
5.0
5.0
2.0
-2.0
1.0
15.0
-3.0
4.0
4.0
-4.0
(continued)
8-17
-------
TABLE 8-3. 1996 PHASE 1 GROWTH, 1999 PHASE 2 GROWTH, AND
DIFFERENCES (continued)
E-GAS Area
Rest of Missouri
Kansas
Nebraska
Iowa
Colorado
Utah
Wyoming
North Dakota
South Dakota
Montana
Idaho
Oregon
Washington
Los Angeles-South Coast Air Basin
San Diego
Ventura County
Sacramento Metro
San Joaquin Valley
1996
1.20
1.18
1.17
1.16
1.08
1.21
1.10
1.07
1.12
1.15
1.16
1.25
1.31
1.30
1.32
1.23
1.26
1.22
1999
1.18
1.19
1.16
1.14
1.28
1.31
1.16
1.11
1.18
1.17
1.25
1.25
1.28
1.22
1.29
1.27
1.43
1.30
% Difference
-2.0
1.0
- 1.0
-2.0
20.0
10.0
6.0
4.0
6.0
2.0
9.0
0.0
-3.0
-8.0
-3.0
4.0
17.0
8.0
(continued)
8-18
-------
TABLE 8-3. 1996 PHASE 1 GROWTH, 1999 PHASE 2 GROWTH, AND
DIFFERENCES (continued)
E-GAS Area
Rest of California
Nevada
Arizona
1996
1.23
1.29
1.59
1999
1.27
1.55
1.42
% Difference
4.0
26.0
-17.0
8-19
-------
8.6 REFERENCES
1. Federal Highway Administration. Highway Performance Monitoring System Analytical
Process: Volume II, Version 2.1 Technical Manual, and Volume III, Version 2.1 Users
Guide. December 1987.
2. Wolcott, M. Personal communication on data compilation on population, vehicles and
VMT. U.S. Environmental Protection Agency Office of Mobile Sources. Ann Arbor, MI.
March 10, 1992.
3. Saricks, C. L. The Transportation Energy and Emissions Modeling System: Selection
Process, Structure, and Capabilities. Argonne National Laboratory Report ANL/EES-
TM-295. November 1985.
4. Vyas, A. D., and C. L. Saricks. Implementation of the Transportation Energy and
Emissions Modeling System (TEEMS) in Forecasting Transportation Source Emissions for
the 1985 Assessment. Argonne National Laboratory Report ANL/EES-TM-321. October
1986.
5. National Acid Precipitation Assessment Program. Acidic Deposition: State of Science and
Technology — Report 26: Methods for Modeling Future Emissions and Control Costs
(Section 6.5). Washington, DC. December 1990.
6. Jack Faucett Associates. The FHWA/Faucett VMT Forecasting Model. Final Report
under Contract #DTFH61-86-C-00114 to the Federal Highway Administration, Office of
Policy Development. August 1988.
7. U.S. Environmental Protection Agency, Office of Air and Radiation. Section 187 VMT
Forecasting and Tracking Guidance. NTIS PB92-164961. January 1992.
8. U.S. Department of Transportation, Federal Highway Administration. Highway Statistics
1985, 1986, 1987, 1988, 1989, 1990.
8-20
-------
CHAPTER 9
E-GAS CROSSWALK
9.1 OVERVIEW
CROSSWALK, the final component in E-GAS, is a module which assigns growth factors
from other E-GAS modules to point, area, and mobile source SCCs for each county in each
E-GAS modeling region. The growth factors used by the CROSSWALK are those generated by
the models and modules in Tier 3, which were described in detail in Chapters 5, 6, and 7 of this
report.
E-GAS activity growth factors will ultimately be applied to inventories in the AIRS sub-
systems, AFS and AMS. The appropriate growth factor for each source in each inventory is
determined by information given in the SCC description. For example, SCC descriptions may
include the general economic sector associated with the emission (e.g., residential, commercial,
industrial); the specific economic sector associated with the emission (e.g., the chemical
industry); and the process associated with the emission (e.g., fuel combustion, solvent
application). The CROSSWALK was developed to associate each SCC in AFS and AMS with
the appropriate growth factor from E-GAS based on similarities in E-GAS growth factors and
SCC definitions. Using CROSSWALK, energy, economic, and VMT growth factors are
converted to point, area, and mobile source SCCs growth factors for each county in each E-GAS
modeling region.
After growth factors have been calculated by models and modules in Tier 3, E-GAS
automatically calls CROSSWALK. CROSSWALK then connects each of the SCCs with its
matching E-GAS growth factor. A list of CROSSWALK matches and the justification for the
assignment is given in Appendix C. For example, the existing files for fossil fuels and electricity
will be converted to SCC growth factors based upon the fuel type and economic sector associated
with the emissions. After CROSSWALK has converted the growth factor files from E-GAS to
the appropriate SCC growth factors, the output is compiled in output files. CROSSWALK
creates separate output files for residential, commercial, industrial, and utility fuel consumption,
industrial physical output, and VMT. After the files are compiled, they are stored in the E-GAS
directory.
9-1
-------
93, SICsANDSCCs
SICs and SCCs are two distinct classification systems that were developed for different
purposes. SIC codes were developed by the U.S. Office of Management and Budget (OMB) for
use by the Department of Commerce (DOC). The DOC required a classification of
establishments by type of activity or primary business. The general activities include agriculture,
mining, construction, manufacturing, transportation, communication, electricity, gas, and sanitary
services.
Source Classification Codes were developed by the EPA Office of Air Quality Planning
and Standards (OAQPS) for use by EPA. EPA required a classification of processes within
establishments. OAQPS developed AIRS and its precursor, the National Emissions Database
System (NEDS). Since AIRS stores emissions inventories, it was necessary to classify process
information at the point-source level.
The following example illustrates the differences between SICs and SCCs. SICs are four-
digit codes which correspond to industrial categories.. The first digit corresponds to a division
of SICs. The first two digits together correspond to a major grouping, and each of the next two
digits further refine the SIC grouping.
2 = Manufacturing
28 = Chemicals and Allied Products
286 = .Industrial Organic Chemicals
2865 = Includes over 100 different chemical processes including coal, tar, dyes
and organic pigments
SCC codes are either eight or ten digits in length. Point sources are classified using eight-
digit codes, while area and mobile sources are classified using ten-digit codes. The eight-digit
are hyphenated after the first, third, and sixth digits. The ten-digit codes are hyphenated after
the second, fourth, and seventh digits. Each set of digits between hyphens contains information
about the type of emission associated with the code. The following are examples of point and
area source codes and their format.
9-2
-------
Point source
Area source
2
2-01
2-01-002
2-01-002-01
21
21-01
21-01-004
21-01-004-002
Internal combustion engine
Internal combustion electrical generation
Internal combustion electrical generation
using natural gas
Internal combustion electrical generation
using natural gas and a turbine engine
Stationary source fuel combustion
Stationary source fuel combustion at electric
utilities
Stationary source fuel combustion at electric
utilities using distillate oil
Stationary source fuel combustion at electric
utilities using distillate oil and internal
combustion engine
The SCCs associated with the SIC above (SIC 28) are too numerous to list in this section.
However, some associations are possible as a brief illustration. A great number of the point
source SCCs beginning with a 3 are chemical manufacturing codes, and would correspond to SIC
28. Those SCCs for organic chemicals would correspond to SIC 286. A smaller number of
SCCs would correspond to SIC 2865.
9.3 FOSSIL FUELS
The growth factors for fossil fuel consumption are generated by HOMES, CSEMS, and
INRAD. The output files containing growth factor information are used as input files to
CROSSWALK. This section describes the specific information contained in the fuel consumption
input files to CROSSWALK.
9.3.1 Residential Fossil Fuels
Residential fossil fuel demands are generated by HOMES. Growth factors are developed
for each fuel type by year, State, and county. The fields in a HOMES input file to
CROSSWALK include:
9-3
-------
STATE
COUNTY •
YEAR
FUEL TYPE
GROWTH FACTOR
The three-digit codes preceding the fuel type is the code used in E-GAS to identify the fuel. The
fuel type field can contain the fuels in the following list.
001 Coal
004 Distillate oil
005 Residual oil
006 Natural gas
007 Liquefied petroleum gas
009 Wood
CROSSWALK attaches the proper SCC to the records in the file by fuel type. The SCCs for
residential fossil fuels are the AMS codes 21-04-***-***.
93.2 Industrial Fossil Fuels
Industrial fossil fuel demands are generated by INRAD. The growth factors are by State,
county, year and fuel type. The fields in an INRAD input file to CROSSWALK are listed below:
STATE
COUNTY
YEAR
FUEL TYPE
. INDUSTRY TYPE
GROWTH FACTOR
The fuel type field can contain the following fuels :
001 Coal
004 Oil
006 Gas
999 Electricity
The industry field contains one of the eight INRAD industrial categories. CROSSWALK
9-4
-------
attaches the proper growth factor to each SCC using information on 'fuel and industry type
associated with the growth factor.
9.3.3 Commercial Fossil Fuels
Commercial fossil fuel demands are generated by CSEMS. The growth factors are
developed for each fuel type by State, county, and year. The fields in a CSEMS input file to
CROSSWALK are listed below:
STATE
COUNTY
YEAR
FUEL TYPE
GROWTH FACTOR
The fuel type field can contain the following fuels:
001 Coal
004 Distillate oil
005 Residual oil
006 Natural gas
007 Liquefied petroleum gas
CROSSWALK attaches the proper SCC to the records in the file by matching them to the fuel
type. The SCCs for commercial fossil fuels are the AMS codes 21-03-***-*** and AFS codes
1-03-***-** and 2-03-***-**.
9.3.4 Fossil Fuel Consumption at Utilities
Electric demands are generated by a two-step process. Initial residential, commercial, and
industrial demands are generated by HOMES, CSEMS, and INRAD respectively. The three
output files are read by an electric model preprocessor which prepares an input file for
CROSSWALK. The growth factors are listed by fuel type, State, county, and year. The fields
in the input file to CROSSWALK are listed below:
9-5
-------
STATE
COUNTY
YEAR
FUEL TYPE
GROWTH FACTOR
The fuel type field can contain one of the following fuels:
001 Anthracite coal
002 Bituminous coal
002 Subbituminous coal
003 Lignite
004 Residual oil
005 Distillate oil
006 Natural gas
007 Process gas
008 Coke
009 Wood/bark waste
010 Liquefied petroleum gas
Oil Bagasse
012 Solid waste
013 Liquid waste
014 Landfill gas
015 Kerosene/naphtha jet fuel
016 Geysers/geothermal
CROSSWALK attaches the proper SCC to the records in the file by matching them to the fuel
type.
9.4 VMT ESTIMATES
Growth factors for vehicle miles traveled are generated by the VMT module. Growth
factors are listed by State, county, year, road, and vehicle type.
STATE
COUNTY
YEAR
ROAD TYPE
VEHICLE TYPE
GROWTH FACTOR
9-6
-------
The vehicle type and road type fields correspond exactly to the numerous AMS highway mobile
source vehicle types and road types. CROSSWALK will attach SCC codes corresponding to the
proper road and vehicle type.
9.5 INDUSTRY-SPECIFIC PHYSICAL OUTPUT
The physical output module in E-GAS generates an input file for CROSSWALK which
contains physical output growth factors for 210 sectors. Each growth factor is listed by State,
county, BLS code, and year.
Below is the PHYSICAL OUTPUT input file to CROSSWALK:
STATE
COUNTY
YEAR
BLS CODE
GROWTH FACTOR
The BLS code field can contain any of the 210 BLS codes. CROSSWALK matches SCCs using
BLS codes.
9.6 OTHER SCCs
In some instances, SCCs do not have a corresponding growth factor from E-GAS. For
example, area source codes 27-**-***-*** correspond to biogenic emissions; there are no outputs
from E-GAS which logically relate to future growth in emissions from these sources. For SCCs
for which a logical growth rate could not be determined from E-GAS outputs, the code will be
stored in the OTHER.SCC file and assigned a growth rate of 1.0, (i.e., no growth in emission-
generating activity) for all forecast years.
9-7
-------
COM_OTHR.DAT
Commercial
Fossil Fuel
Growth Factors
fiES_OTHR.DAT
Residential
Fossil Fuel
Growth Factors
IND OTHK.DAT
Industrial
Fossil Fuel
Growth Factors
\^ \
CSEMSF1N.PRN
Commercial
SCC List
HOMESF1N.PRN
Residential
SCC Lial
I i
PHY_OUT.DAT
Industij-Speclfic
Phisical Output
Growth Factors
INRADFIN.PRN
Industrial
SCC till
\
ELEC.DAT
Electrical
Generation
Fossil Fuel
Growth Factor*
PHYStm.PRN
Phjatcal Output
SCC list
VMT_OUT.DAT OUTPUT.YRS
VHT Growth User- Specified
Facton Years In
Final Files
NUIIODF1N.PHN
Electrical
SCC List
X
x^
VMTFIH.PKN
•VMT
SCC List
^
^
^
OUTPUT.ABS
User-Specified
Counties
Included in
Final Files
X"
OTBERSC.LST
Remaining Point
and Area Source
SCC List
^
00
CROSSWALK
(SCC-LEVEL)
Figure 9-1. CROSSWALK design.
-------
9.7 CROSSWALK FILES
CROSSWALK assigns SCCs as described above and creates a set of output files. These
files are in ASCII format and are automatically saved in the user directory. It is the user's
responsibility to maintain her/his file directory.
The output files all contain five fields : State, county, SCC, year, and growth factor.
Example output files are presented in Appendix D for the years 1993 through 1997. The format
of the files generated by CROSSWALK will be the same regardless of the sources included or
the years forecast. The example output files in Appendix D illustrate the format of the
CROSSWALK output files.
The output files are identified as follows:
RES.FUEL.SCC
COM_FUEL.SCC
IND_FUEL.SCC
ELECTRIC.SCC
VMT.SCC
PHY.SCC
OTHER.SCC
HOMES, residential fossil fuel
CSEMS, commercial fossil fuel
INRAD, industrial fossil fuel
electric growth factors
VMT, transportation
PHYSICAL OUTPUT, industrial output
Growth for unclassified SCCs
CROSSWALK generates the seven files listed above. Examples of these files are
presented in Appendix C. After exiting E-GAS, the user can view and print these ASCII files
using any standard ASCII file reader. The files are stored in the E-GAS user's directory.
The generic CROSSWALK output file format is as follows:
STATE
COUNTY
SCC
GROWTH FACTOR
numeric (2) State code
numeric (3) county code
numeric (10) SCC code
numeric (8)
The years corresponding to the growth factors will be listed at the top of the file. Figure 9-1
depicts CROSSWALK file handling capabilities and input and output file characteristics. The
fields in the input and output files correspond to the fields described throughout this report.
9-9
-------
-------
APPENDIX A
DATA USED TO DEVELOP NUMOD
A-l
-------
rr
AL [1980
AR
AZ
CA
CO
CT
DE
f=L
GA
IA
ID
IL
IN
KS
KY
LA
MA
MD
ME
Ml
MN
MO
MS
MT
NC
ND
NE
NH
NJ
NM
NV
NY
OH
OK
on
PA
Rl
so
80
TN
TX
irr
VA
VT
WA
1980
1980
19BO
1980
1980
1980
1980
1980
1980
1980
I960
1980
1980
1980
1980
I960
1980
1980
1980
1980
1980
1980
1980
1980
1980
I960
1980
1980
1980
1980
1980
I960
1980
IffflO
19flO
IflftO
iwto
19RO
1980
19M)
1!WO
1980
i»«)
ifwo
NERC
Region
3
6
8
8
6
0
1
3
3
5
8
4
2
6
2
6
0
1
0
2
5
6
3
a
3
5
S
0
1
8
a
0
2
6
8
1
n
3
5
3
7
a
3
0
n
Coal
Generation
Code
4
0
2
0
2
0
1
0
4
3
0
2
4
1
4
0
0
2
0
2
3
3
1
3
4
4
2
1
0
2
2
0
4
0
2
3
0
3
4
4
1
3
1
0
3
Gas
Penetration
Code
2
2
2
2
3
0
1
1
1
2
3
1
1
3
2
2
0
0
0
1
2
2
2
3
1
0
2
0
1
3
2
1
1
3
1
0
1
t
1
1
3
2
0
1
1
Degree
Days
(Heallaj
1702
3155
1350
2120
6020
6151
4937
817
2991
8497
5881
6342
5615
4791
4514
1513
5641
4707
7378
7942
8890
5076
2487
7741
3399
8968
6300
7554
5169
4425
5674
6149
5719
3659
4522
5461
5884
2649
7809
3406
2238
5765
5633
7771
5875
Coollns
2627
2005
4162
983
679
677
1046
3375
1867
1036
754
667
1014
1628
1288
2655
678
1137
268
378
431
1411
2215
386
1500
488
1072
328
826
1244
506
693
805
1859
371
87S
606
1966
744
1867
2466
1047
1365
3W
294
Peak Load (MW)
Regional
Summer
33894
89815
72891
72891
72891
63021
31722
33694
33894
36831
72691
19378
34525
89815
34525
89815
63021
31722
63021
34525
36831
89815
33894
72891
33894
36831
36631
63021
31722
72891
72691
63021
34525
69815
72691
31722
63021
33894
36831
33694
44961
72891
33894
63021
72891
Current
Year
Winter
26297
67360
69756
69756
69756
61262
22531
26297
26297
35481
69756
17332
28734
67360
28734
87360
61262
22531
61262
28734
35481
87360
26297
69756
26297
35461
35481
61262
22531
69758
69758
61262
28734
87360
69756
22531
61262
26297
35461
26297
29355
69756
26297
61262
69758
Prior
Year
Winter
26631
90354
68224
68224
68224
62225
23962
26631
26631
35340
68224
17420
29730
90354
29730
90354
62225
23962
62225
29730
35340
90354
26631
68224
26631
35340
35340
62225
23962
68224
68224
62225
29730
90354
66224
23962
62225
26631
35340
26631
30681
66224
26631
62225
68224
State Qenerallng Capacity
(MW)
Steam
11316
4206
7251
26855
4960
3993
1633
25459
12906
5969
50
23922
16964
7823
12891
12666
7002
6803
1114
16609
6518
12628
5535
1114
12017
2933
3364
1186
10470
4887
3110
22021
26266
10224
1599
27479
257
5978
710
12124
52508
1902
7140
164
1641
1C
0
52
4
102
75
21
11
248
5
577
12
282
52
521
13
189
171
63
55
400
346
374
0
3
5
87
241
0
2
114
66
111
176
159
6
93
26
1
115
0
252
34
33
21
4
r Hydro/
Nuclear
6932
2932
2112
10875
1T14
2305
0
3291
3433
727
1917
5749
93
2
746
0
2478
2321
1211
5492
1897
844
0
2066
3583
430
1537
376
2109
24
682
9312
964
965
6904
6810
2
5695
1383
3755
519
197
4494
757
21347
Region Generating Capacity
(MW)
Steam
92475
47547
57252
57252
57252
35739
48385
92475
92475
19494
57252
32519
68080
47547
66080
47547
35739
46385
35739
68080
19494
47547
92475
57252
92475
19494
19494
35739
46385
57252
57252
35739
86080
47547
57252
46385
35739
92475
19494
92475
52508
57252
92475
35739
57252
1C
292
1295
435
435
435
405
169
292
292
1366
435
379
641
1295
641
1295
405
169
405
641
1366
1295
292
435
292
1366
1368
405
169
435
435
405
641
1295
435
169
405
292
1366
292
252
435
292
405
435
Hydro/
Nuclear
31163
4743
47458
47458
47458
16443
11240
31183
31163
5974
47458
7781
7395
4743
7395
4743
16443
11240
16443
7395
5974
4743
31163
47458
31163
5974
5974
16443
11240
47458
47458
16443
7395
4743
47456
11240
16443
31183
5974
31183
519
47458
31183
16443
47458
E(ecttk%
Demand
(MWH)
Slate
51907
23030
26173
164496
21196
21332
5750
90596
51711
24938
15388
96457
55892
22096
51696
59444
33072
32602
7957
67935
33377
40335
23707
10761
62620
5214
14163
6060
49851
9331
9446
105927
114107
31093
37936
99776
5080
37795
4838
72056
177945
10903
46215
3717
74181
flfifllwi
438807
175998
386531
366531
386531
183145
J87979
438807
438B07
82530
386531
133559
310486
175996
310466
175998
183145
187979
163145
310486
82530
175998
438807
386531
438807
82530
82530
163145
187979
386531
366531
163145
310486
175998
366531
187979
183145
436607
82530
438607
177945
366531
438807
183145
386531
Average Slate
Fuel Pdcea
(Constant Dollars/ MMBTu)
Coal
194.7
158.4
110.9
N/A
109.2
N/A
188.2
216.0
160.5
160.2
N/A
193.6
146.9
124.1
154.7
N/A .
204.0
186.2
N/A
189.7
119.7
137.6
211.9
56.2
179.7
71.6
136.6
183.6
217.3
71.5
122.1
176.7
170.9
144.5
16.8
156.9
N/A
180.1
92.9
160.7
134.1
131.8
204.0
243.2
92.2
Oil
407.9
424.8
449.9
561.9
511.4
516.1
477.7
412.2
368.7
482.1
264.4
598.2
561.1
306.0
407.1
424.9
423.4
477.7
451.0
451.8
456.8
447.1
342.0
563.3
606.3
391.5
425.3
413.0
535.9
438.3
400.6
461.7
533.3
475.7
673.6
513.7
434.0
379.9
335.3
391.4
352.5
531.8
451.2
550.0
f 560.7
Gas
375.3
296.4
337.8
486.0
371.1
N/A
431.1
203.2
267.1
314.4
525.5
448.7
343.8
244.2
294.8
283.0
391.1
431.1
N/A
380.2
301.8
306.0
294.3
511.6
441.0
348.4
257.5
N/A
422.6
337.0
365.1
410.3
399.4
239.1
503.6
477.5
369.1
329.4
350.2
326.9
253.1
279.6
362.6
664.2
503.6
Electric
Generation
(MWH)
Coal
45242
2941
21702
0
18594
0
2408
19737
49674
17755
0
66910
69635
16210
53883
0
1792
14589
0
50449
20066
46964
6958
5140
60463
13286
8122
2733
6425
19331
7755
14471
106600
9711
725
96756
0
19521
2806
50618
62053
10870
13364
13
7129
Oil
63
1969
667
39276
158
12613
3576
44352
546
69
0
7237
346
438
124
4787
29297
5024
2054
5602
208
244
3346
22
249
29
124
2367
6758
189
1473
37634
1036
28
57
10727
825
1550
24
198
949
63
8419
22
98
Qaa
108
5249
4486
50273
2502
0
678
14860
287
436
4
1406
160
6474
158
40952
427
344
0
1822
592
1161
8196
352
97
0
944
0
6902
5061
2523
10765
261
33580
28
200
137
407
13
114
13892S
356
171
12
75
-------
State
Wl
wv
WY
AL
AR
AZ
CA
CO
CT
DE
FL
3A
IA
ID
IL
IN
KS
KY
LA
MA
MD
ME
Ml
MN
MO
MS
MT
NC
MD
NE
NH
NJ
NM
MV
MY
OH
OK
OR
"A
31
SC
SD
TN
TX
UT
Year
1980
1980
1980
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1961
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1961
1981
1961
1981
1961
1981
1981
NERC
Region
4
2
8
3
6
8
U
8
0
1
3
3
5
8
4
2
6
2
6
0
1
0
2
5
6
3
a
3
S
s
0
1
8
8
0
2
6
8
1
0
3
5
3
7
8
Coal
Generation
Coda
3
4
4
4
1
2
0
3
0
1
0
4
4
0
3
4
2
4 '
0
0
2
0
3
3
4
1
3
4
4
3
1
1
2
2
0
4
1
4
3
0
3
4
4
1
3
1 Degree
Gas 1 Days
Penetration!
I Peak Load (MW)
Regional
Code healing [Cootlnal Summer
2
0
1
2
3
3
2
3
0
1
1
1
2
3
1
2
3
2
3
0
0
0
1
2
2
2
3
1
0
2
0
2
3
3
1
1
3
2
0
1
1
1
1
3
2
7324
4646
7326
1702
3155
1350
2120
6020
6151
4937
817
2991
6497
5861
6342
5615
4791
4514
1513
5641
4707
7376
7942
8690
5076
2467
7741
3399
6988
6300
7554
5169
4425
5674
6149
5719
3659
4522
5461
5684
2649
7609
3406
2238
5765
479
1031
285
2827
2005
4162
983
679
677
1048
3375
1667
1036
754
867
1014
1828
1288
2655
876
1137
268
376
431
1411
2215
388
1500
488
1072
328
826
1244
508
693
605
1859
371
878
606
1966
744
1667
2466
1047
19378
34525
72891
32561
90513
75655
75655
75655
84150
32535
32561
32561
35648
75655
18985
33633
90513
33633
90513
64150
32535
64150
33633
35648
90513
32561
75655
32561
35648
35648
64150
32535
75855
75655
64150
33633
90513
75655
32535
64150
32561
35648
32561
44623
75655
Cunenl
Year
Winter
17332
28734
69756
26631
90354
68224
68224
68224
62225
23962
26631
26631
35340
68224
17420
29730
90354
29730
90354
62225
23962
62225
29730
35340
90354
26631
68224
26631
35340
35340
62225
23962
68224
68224
62225
29730
90354
68224
23962
62225
26631
35340
26631
30681
68224
Prior
Year
Winter
17420
29730
68224
26985
93348
66692
66892
66692
63188
25393
26965
26965
35199
66692
17508
30726
93348
30726
93348
63168
25393
63168
30726
35199
93348
QJHU3B
fvitva
66692
26965
35199
35199
63168
25393
66692
66692
63188
30726
93348
66692
25393
63188
26965
35199
26965
32007
66692
Slate Generating Capacity JJReglDn Generating Capacity
(MW) U (MW
Steam
8597
15150
3883
11316
5006
8801
26615
4960
3827
1633
26471
12906
6855
50
23905
16802
6024
14730
13784
6985
7461
1104
16746
6559
13781
6084
1114
12762
3363
3429
1168
10459
4847
3380
21964
26219
11011
1599
27479
257
6608
710
12124
54180
2349
1C
97
0
15
0
52
4
102
75
21
11
264
5
577
9
276
52
542
13
193
171
63
54
416
352
376
0
3
4
85
247
0
2
117
66
111
176
139
6
93
26
1
108
0
248
34
Hydros 1 Steam
Nuclear |
20321 32519
100 88080
220| 57252
7821
2932
2112
11263
1214
2305
0
3291
3433
727
1920
5746
93
2
746
0
2505
2321
1211
5492
1900
644
0
2068
4603
430
1572
378
3279
24
662
9037
964
965
7104
6610
2
5695
1383
4976
517
199
95410
51606
60935
60935
60935
35489
47032
95410
95410
20916
60935
32821
89647
51606
89847
51606
35489
47032
35489
69647
20918
51606
95410
60935
95410
20916
20916
35489
47032
60935
60935
35489
69847
51606
60935
47032
35489
95410
20916
95410
54180
60935
1C
379
641
435
307
1302
435
435
435
404
169
307
307
1369
435
373
659
1302
659
1302
404
169
404
659
1369
1302
307
435
307
1369
1369
404
169
435
435
404
659
1302
435
169
404
307
1369
307
248
435
Hydro/
Electricity | Average State | Electric
Demand | Fuel Prices 1 Generation
(MWH) i (Constant DoKantf MMBTu) 1 (MWH)
Nuclear 1 State
7781
7395
47458
34618
4743
48151
48151
48151
16195
12410
34618
34618
6012
46151
7777
7395
4743
7395
4743
16195
12410
16195
7395
6012
4743
34618
48151
34618
6012
6012
16195
12410
48151
48151
16195
7395
4743
48151
12410
16195
34616
6012
34618
517
48151
37102
20858
6718
51251
24266
29366
172824
22976
21466
5771
95444
56435
25197
16269
97330
56248
21818
51689
61304
33126
33119
8166
67843
35079
40184
23517
11033
64721
5570
15517
6090
49562
10417
10285
106224
114587
32460
38523
100627
5027
40003
4964
71083
187215
11845
Region I Coal
133559
310486
386531
434864
180032
408602
408602
408602
184109
189079
434864
434864
86327
408602
135471
311318
180032
311318
180032
184109
189079
184109
311318
66327
180032
434864
408802
434864
66327
86327
184109
189079
408602
408602
184109
311318
180032
408602
189079
164109
434864
86327
434664
187215
408602
164.6
161.2
67.2
207.8
170.5
109.8
N/A
114.9
N/A
203.7
231.0
186.2
153.7
N/A
201.9
153.4
128.3
162.0
228.5
273.2
203.7
N/A
195.2
123.1
145.1
234.2
60.5
194.6
65.7
133.8
191.2
226.6
62.0
119.4
188.7
179.8
154.4
196.5
178.5
N/A
191.6
105.9
165.8
148.1
127.3
Oil
562.1
633.0
380.3
416.1
433.2
629.9
665.0
520.4
466.0
442.8
367.7
518.1
274.9
646.2
597.7
262.7
425.1
495.8
466.9
486.0
503.6
519.6
457.6
443.8
371.4
458.4
568.7
510.9
595.9
464.5
532.6
348.0
368.3
466.9
543.3
557.2
361.0
526.3
474.4
374.5
619.5
366.7
326.4
562.0
Gas H Coal
382.6
505.6
397.5
324.6
297.0
300.5
445.1
345.1
N/A
386.3
191.5
362.9
331.7
467.3
470.0
334.3
246.9
286.2
306.1
445.1
366.3
N/A
374.8
297.7
273.9
289.6
500.3
488.5
313.0
265.2
402.0
456.4
313.8
372.0
412.3
384.1
212.4
777.0
447.9
369.1
368.3
334.2
326.0
275.1
256.7
24943
69956
21150
44888
9476
28123
0
22171
0
4637
21096
51790
19136
0
62986
66426
17587
57071
1529
2250
12782
0
53185
20025
47400
6608
5046
62568
13774
8482
2197
6982
17885
9549
14403
106762
13660
1679
92059
0
21081
2662
46150
70904
10868
Oil
248
408
62
45
461
268
27753
65
10851
3128
47442
419
65
0
5334
363
324
183
2634
25422
4049
2158
3083
83
144
1767
13
213
37
44
2150
6166
83
143
36755
439
22
12
9377
605
1216
14
164
709
39
Gas-
616
8
33
182
5059
. 5696
63558
996
0
556
15828
205
216
1
948
470
6619
238
39948
561
363
0
1141
412
585
6423
176
51
0
. 347
9
7145
4956
4304
11564
133
29270
16
225
215
414
2
24
134424
230
-------
Slate
VA •
VT
WA
Wl
wv
WY
AL
AR
AZ
CA
CO
CT
OE
FL
QA
IA
10
IL
IN
KS
KV
LA
MA
MD
ME
Ml
MN
MO
MS
MT
NC
ND
NE
NH
NJ
NM
NV
NY
OH
OK
OR
PA
Rl
SC
SD
ftai
1981
1981
1981
1981
1981
1981
1962
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1082
1982
1982
1982
1902
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1082
1982
1982
1982
1982
1982
1WW
198?
MCD/*
ntnL*
Region
3
.0
8
4
2
8
3
6
8
e
8
0
1
3
3
5
e
4
2
e
2
6
0
1
0
2
5
8
3
6
3
5
5
0
1
6
8
0
2
6
8
1
0
3
5
Coal
Generation
Code
2
1
4
3
4
4
4
2
3
0
3
0
1
0
4
4
o-
3
4
2
4
0
0
2
0
3
3
1
1
2
2
0
4
1
4
3
0
4
4
Gaa
Penetration
Code
0
2
2
2
0
1
2
3
3
2
2
0
1
1
1
2
3
1
1
3
1
3
0
0
0
1
2
2
3
2
0
0
2
0
2
3
3
1
1
3
1
0
1
1
0
Degree I Peak Load (MW)
naye
Haallna
5633
J771
5875
7324
4648
7326
1702
3155
1350
2120
6020
6151
4937
817
2991
6497
5861
6342
5615
4701
4514
1513
5641
4707
7370
7942
8890
5076
2467
7741
3399
8088
6300
7554
5169
4425
5674
6149
5719
3659
4522
5461
5884
2649
7809
CooHnj
Regional
Summer
13851 32561
388
294
479
1031
285
2627
2005
4162
963
679
677
1046
3375
1667
1036
754
867
1014
1628
1288
2655
676
1137
268
378
431
1411
2215
388
1500
488
1072
328
626
1244
508
693
605
1859
371
876
606
1966
744
64150
75655
18985
33633
75655
31304
86220
71560
71580
71580
50688
33231
31394
31304
36427
71580
10479
33646
86229
33848
88229
59688
33231
59688
33848
36427
66229
31394
71580
31394
36427
36427
59666
33231
71580
71580
59668
33846
86229
71580
33231
59688
31394
36427
Current
Year
Winter
26631
62225
68224
17420
29730
68224
26965
93348
66692
66692
66692
63188
25393
26985
26965
35190
66692
17506
30726
93348
30726
93348
63188
25303
63188
30726
35199
93348
26965
66602
26965
35190
35199
63188
25393
66692
66692
63188
30726
93348
66692
25393
63188
28965
35100
Prior
Year
Winter
26965
63168
66692
17508
30726
66692
24303
85664
67034
67934
67034
56559
25347
24303
24303
34755
67934
17816
28197
65864
28107
65664
56550
25347
56550
28197
34755
65664
24303
67934
24303
34755
34755
56559
25347
67934
67934
56559
28197
85664
67934
25347
ceeea
3Q330
24303
34755
State Generathg Capacity
(MW)
Stecm
7139
164
1907
8916
15150
5023
11235
4979
8746
26985
5402
3769
2022
27477
13781
6809
50
23623
18656
7992
15270
14966
7480
7424
1104
16655
6487
14513
6122
1115
12774
3242
4155
1168
10501
5352
3517
22655
26705
11362
1574
26894
256
6591
862
1C
33
21
4
97
0
15
0
38
4
44
74
20
11
259
5
419
8
278
S3
534
14
168
171
63
54
392
328
363
0
3
2
84
256
0
2
117
64
111
117
130
6
72
26
1
72
Hydro/
Nuclear
4599
757
21347
2031
100
220
7633
2931
2113
11427
1220
2305
0
3290
3651
727
1944
6892
93
2
747
0
2502
2322
1228
5494
1697
025
0
2066
4800
430
1572
384
3270
24
682
9038
988
965
0267
6708
2
5694
1383
Region Generating Capacity
(MW)
Si earn
95410
35409
60935
32821
89647
60935
97038
53812
62758
62758
62758
36616
46041
97038
97038
21555
62758
32749
92435
53812
92435
53812
36816
46841
36616
92435
21555
53812
97038
62758
07038
21555
21555
36816
46841
62758
62758
36616
92435
53812
62758
46841
36616
97038
21555
1C
307
404
435
373
659
435
301
1253
373
373
373
402
148
301
301
1159
373
372
576
1253
576
1253
402
148
402
576
1159
1253
301
373
301
1159
1159
402
148
373
373
402
576
1253
373
148
402
301
1159
Hydro'
Nuctear
34618
16195
48151
7777
7395
48151
38083
4823
48709
48709
48709
16216
12309
36083
36083
6009
48709
8924
7423
4823
7423
4823
16216
12309
16216
7423
6009
4623
36083
48709
36083
6009
6009
16216
12309
46709
46700
16216
7423
4823
46709
12309
16216
36063
6009
Eteclrlcfty
Demand
(MWH)
State
32430
4008
76761
38141
20951
8281
46275
22288
25649
164646
22455
20966
5457
95079
54848
24540
15725
93481
55792
22313
49738
58166
33321
32430
8198
64236
34108
40354
23049
10435
66412
6035
•16660
6140
46803
9992
10009
104974
100557
36101
36560
94651
4937
41354
5011
Region
434864
184109
408602
135471
311318
408802
446654
179222
387268
387268
387268
182475
181341
446654
446654
86354
387268
131931
290102
179222
290102
179222
182475
181341
162475
290102
68354
179222
446654
387268
446654
06354
66354
182475
181341
387268
367268
182475
290102
179222
387268
181341
182475
446654
86354
Average State
Fuel Prices
(Conalanl Dollara/ MMBTu)
Coal
211.0
214.2
100.8
174.8
178.2
82.0
217.7
184.7
103.6
N/A
119.4
N/A
193.6
229.2
190.7
158.4
N/A
206.9
158.4
136.1
161.1
225.4
263.5
193.6
N/A
192.9
132.0
144.0
234.5
66.5
192.4
70.5
119.2
193.5
226.9
86.4
122.0
191.6
172.9
157.4
192.1
167.8
N/A
194.2
118.8
ON
473.7
610.8
810.9
607.4
657.5
558.0
394.6
533.9
461.8
743.2
666.0
478.8
505.4
433.6
488.0
553.9
366.7
726.0
694.9
349.9
645.5
576.7
455.2
505.4
495.2
591.7
364.5
526.8
565.7
532.7
644.3
589.0
646.8
421.6
538.3
418.5
440.7
484.5
633.8
346.3
585.0
557.2
463.6
458.2
575.8
Gaa
361.5
538.6
539.7
370.5
505.6
555.2
300.5
296.2
388.9
501.0
363.8
N/A
408.6
209.9
383.0
348.8
545.0
467.6
355.6
249.6
307.7
307.0
404.9
408.6
N/A
394.4
289.5
359.9
295.3
234.3
387.6
328.3
309.1
N/A
440.8
332.8
407.4
, 424.4
417.0
203.5
2288.6
439.4
383.2
394.2
342.7
Electric
Generation
(MWH)
Coal
15381
21
6985
24821
72632
25500
36170
10856
28670
0
22879
0
4354
21694
49464
18456
0
61201
62398
17778
54454
4998
8867
14242
0
50488
17221
46910
9259
3853
59804
15729
8120
2289
7077
19431
12619
15254
101454
17904
739
94179
0
20948
2513
OH
3797
8
13
162
481
71
30
89
214
9470
74
10428
2138
33857
183
56
0
3988
256
265
169
946
19353
3757
1830
1265
47
169
205
10
159
32
65
1401
4828
146
130
32932
385
28
4
6378
376
257
12
Gaa
149
11
37
412
26
9
72
2945
2837
50034
405
0
526
16917
134
147
1
. 738
242
5150
146
35590
1404
70
0
833
216
327
7507
33
J
0
120
C
5746
4103
1415
13974
82
24005
2
117
61
37
0
-------
Stale
TN
TX
UT
VA
VT
WA
Wl
WV
WY
AL
AR
AZ
CA
CO
CT
DE
FL
QA
IA
10
1L
IN
KS
KY
LA
MA
MD
ME
Ml
MN
MO
MS
MT
NC
NO
ME
NH
NJ
NM
W
NY
OH
OK
OR
'A
Vear
1982
1982
1982
1962
1982
1982
1982
1962
19B2
19B3
1983
1083
1983
1983
1983
1983
1983
1983
1983
1083
1983
1983
1983
1983
1983
1963
1983
1983
1983
1983
1983
1983
1983
1083
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
NEHC
Region
3
7
a
3
0
a
4
2
8
3
8
8
8
8
0
1
3
3
5
8
4
2
8
2
6
0
1
0
2
5
6
3
8
3
5
5
0
1
8
8
0
2
6
8
1
Coal
Generation
Code
4
1
3
2
2
2
3
0
4
0
2
1
4
4
0
3
4
2
4
0
1
2
0
3
4
4
2
4
4
4
4
1
1
2
3
0
4
1
4
2
Gat
Penalratkm
Code
0
3
2
1
1
t
2
0
1
1
3
2
2
2
0
1
1
1
2
3
1
2
3
1
3
1
0
0
2
2
2
3
2
0
0
2
0
2
3
3
1
1
3
0
0
Dag
<
-------
Sim*
Rl
SC
SD
TN
TX
UT
VA
VT
WA
Wl
WV
WY
AL
AR
AZ
CA
CO
CT
DE
FL
QA
IA
ID
IL
IN
KS
KY
LA
MA
MD
ME
Ml
MN
MO
MS
MT
NC
ND
NE
NH
N.J
NM
NV
NY
OH
fear
1903
1983
1983
1983
1983
1083
1983
1683
1983
1983
(983
1983
1984
1984
1984
1984
1984
1984
1984
1964
1984
1984
1984
1984
1884
1984
1984
1984
1984
1884
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
19S4
1984
IflW
1984
1984
MERC
Region
0
3
5
3
7
8
3
0
8
4
2
8
3
6
8
8
8
0
1
3
3
5
8
4
2
6
2
e
0
i
0
2
5
6
3
8
3
5
5
0
1
8
8
0
?
Coal
Generation
Code
0
4
4
4
1
4
2
2
4
4 .
4
4
4
2
3
0
4
0
2
1
4
4
0
3
4
2
4
0
1
2
0
3
4-
4
1
4
4
4
4'
1
1
2
3
0
4
Gas
Penetration
Code
1
1
0
0
3
2
1
2
1
2
0
1
1
3
2
3
3
0
1
1
1
2
0
1
1
3
2
3
1
0
0
2
2
2
3
2
0
0
2
0
2
3
3
1
1
Degree
Days
Healing
5884
2649
7809
3406
2238
5765
5833
7771
5875
7324
4646
7326
1702
3155
1350
2120
6020
6151
4937
817
2991
6497
5061
6342
5615
4791
4514
1513
5641
4707
7378
7942
8890
5076
2487
7741
3389
8968
6300
7554
5169
4425
5674
6149
5719
Coolht
•606
1966
744
1867
2466
1047
1385
388
294
479
1031
285
2627
2005
4162
983
679
677
1046
3375
1667
1036
754
067
1014
1628
1206
2855
670
1137
268
378
431
1411
2215
388
1500
488
1072
328
826
1244
508
693
805
Peak Load (MW)
Regional
Summer
65959
34704
37627
34704
45881
75580
34704
65959
75580
20785
34783
75580
35186
93400
60048
80048
00040
65851
36051
35106
35188
38144
80048
20666
35442
93400
35442
93400
65851
36051
65851
35442
30144
93400
35186
80048
35186
38144
38144
65851
36051
80048
80048
65831
35442
Current
Winter
56559
24303
34755
24303
32743
67934
24303
56559
67934
17816
20197
67934
29159
91459
77065
77065
77085
63020
29684
28159
28159
35836
77065
18807
30150
91459
30150
61459
63820
29684
83820
30150
35836
91459
28159
77065
28159
35836
35836
63820
29684
77065
77065
63820
30150
Prior
Winter
63820
28159
35838
20159
35799
77065
26159
63820
77065
18807
30150
77065
27005
106837
77579
77579
77579
67349
31937
27805
27805
37321
77579
18989
33304
106837
33304
106037
67349
31937
67349
33304
37321
106037
27805
77579
27805
37321
37321
67349
31937
77579
77579
67349
33384
Slete Generating Capacity
(MW)
Steam
243
6619
862
12054
56661
2794
6967
164
2040
8650
14979
5591
11188
6657
8746
27035
6169
3770
2022
29258
14672
7552
50
23787
20033
9048
15677
15209
7405
0010
1104
17259
6327
14330
6122
1835
13721
3720
4100
1147
10092
5597
3707
23318
26104
1C
26
1
70
0
201
34
34
20
4
87
0
15
0
38
4
44
74
20
11
292
5
393
7
267
53
543
14
137
173
64
47
360
297
311
0
5
2
20
268
0
0
26
64
111
106
Hydro/
Nuctear
2
6599
1383
6215
581
205
4610
761
19751
2033
101
234
7904
2931
2276
14660
1231
2304
0
4140
3731
727
1969
7877
93
2
747
0
2518
2323
1229
5495
1898
1004
0
2204
6020
430
1572
309
3279
24
682
9071
1012
Region Generating Capacity
(MW)
Sleam
36577
97759
22338
97759
56661
63419
97759
36577
63419
32433
92078
63419
101111
57222
65226
65228
65226
37210
46950
101111
101111
22569
65226
32343
94132
57222
94132
57222
37210
46950
37210
94132
22569
57222
101111
65226
101111
22569
22569
37210
46950
65226
65226
37210
94132
1C
403
335
1051
335
201
350
335
403
350
365
538
350
334
1164
204
284
204
397
147
334
334
1049
284
350
541
1164
541
1164
397
147
397
541
1049
1164
334
284
334
1049
1049
397
147
284
284
397
541
Hydro/
Nucteai
16258
38072
6009
38072
561
50199
38072
16256
50199
8948
7448
50199
39329
4905
53896
53696
53896
16279
12501
39329
39329
6010
53896
9913
7440
4905
7448
4905
16279
12501
16279
7448
6010
4905
39329
53696
39329
6010
6010
16279
12501
53096
53896
16279
7448
Electricity
Demand
(MWH)
Stale
5174
43328
5269
67616
192912
12608
52731
3983
71118
39600
19792
9202
51375
24949
30543
177569
25241
23122
6298
104735
60465
25646
17197
99620
60171
23899
51466
61603
37174
30372
9626
70311
37696
44529
25692
11639
73363
6656
15762
6704
52691
11117
10857
111231
121553
RoQlon
190184
459976
60728
459976
192912
391461
459976
190184
391461
136001
306202
391461
406676
190802
425367
425367
425367
197543
199077
466676
486676
91169
425367
140958
324715
190802
324715
190802
197543
199077
197543
324715
91169
190602
486678
425367
4866761
91169
91169
197543
199077
425367
LJ25367
197543
324715
Average Slate
Fuel Prices
(Constant Dollars/ MMBTu)
Coal
WA
197.9
119.9
179.7
168.3
138.5
177.5
217.2
142.3
181.9
174.4
97.8
214.9
195.1
128.4
N/A
116.3
220.7
100.6
240.3
197.2
150.3
N/A
217.2
157.2
149.4
152.3
231.0
220.5
185.7
N/A
187.0
139.9
151.6
247.6
69.9
192.5
92.3
133.8
199.9
198.2
92.7
135.0
184.5
198.2
Oil
497.8
621.0
507.6
427.7
339.4
672.3
508.7
809.5
871.1
843.9
727.7
721.0
478.8
010.5
577.3
671.6
589.9
555.1
485.4
519.0
699.5
562.7
327.0
730.0
702.7
600.6
701.5
545.2
529.9
574.3
570.4
634.2
499.1
715.0
760.0
690.4
665.2
654.0
643.4
501.5
583.8
365.0
519.1
565.8
641.8
Gas
347.4
509.9
369.5
351.0
292.8
262.0
402.9
393.2
2682.4
384.4
420.5
441.9
361.4
310.4
466.0
406.2
362.0
354.0
400.1
351.4
422.2
371.3
5G9.c
401.4
401.0
307.8
318.9
291.8
393.4
413.7
N/A
437.0
362.2
373.4
246,0
272.2
414.0
441.0
346.9
374.5
417.7
309.3
427.9
405.6
564.0
Electric .
Generation
(MWH)
Coal
0
17213
2274
45279
87488
10921
16055
42
6111
27393
71767
25054
42057
14350
27479
0
24869
32
6399
34188
63821
18907
0
63233
80246
23339
55072
9828
11260
18775
0
55629
19139
53241
9485
7650
52276
19439
10717
3281
7366
23898
14003
17070
103263
Oil
333
72
11
153
2020
40
1522
5
10
118
275
40
37
10
409
2410
30
12353
2255
19520
88
47
0
2196
162
119
172
139
17271
3090
2090
590
20
90
58
36
178
71
19
1926
5130
60
35
28691
261
Gas
246
51
0
7
115524
69
290
13
2
181
15
12
35
2161
2253
54265
316
196
715
16371
46
145
0
402
120
2710
172
29361
3078
103
0
704
139
169
5676
40
2
0
117
5
0405
2839
808
15395
46
-------
SlBt*
OK
OR
PA
Rl
SC
SO
TN
TX
UT
VA
VT
WA
Wl
WV
WY
AL
AR
AZ
CA
CO
CT
DE
FL
QA
IA
ID
IL
IN
KS
KY
LA
MA
MD
ME
Ml
MN
MO
MS
MT
*JC
ND
NE
NH
*l
MM
tear
19B4
1984
1984
19B4
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
idCDr*
wcnijf
Region
6
8
1
0
3
5
3
7
8
3
0
8
4
2
a
3
9
8
8
8
0
1
3
3
5
8
4
2
6
2
e
0
1
0
2
5
6
3
8
3
5
5
0
1
8
Coal
Generation
Code
1
4
3
0
4
4
4
1
4
3
2
3
2
0
4
0
2
1
4
4
0
3
4
3
4
1
1
2
0
4
4
4
2
4
4
4
4
2
1
2
Gaa
Penetration
Code
3
0
0
1
1
1
0
3
1
1
2
1
2
0
1
2
3
3
3
3
0
1
2
1
2
2
1
1
3
1
3
1
0
0
1
2
2
3
2
1
0
2
0
2
3
Degree
Oaya
Healing
J659
4522
5461
5884
2649
780B
3406
2238
5765
5633
7771
5875
7324
4646
7326
1702
3155
1350
2120
6020
6151
4037
S17
2991
6497
5861
6342
5615
4791
4514
1513
5641
4707
7378
7942
8890
5076
2467
7741
3399
8968
6300
7554
5169
4425
Coolkii
1859
371
870
606
1966
744
1867
2466
1047
1385
366
294
479
1031
285
2627
2005
4162
983
679
677
1046
3375
1667
1036
754
867
1014
1628
1288
2655
678
1137
268
378
431
1411
2215
388
1500
488
1072
328
826
1244
Peek Loed (MW)
Regional
Summer
93400
80048
36851
65851
35186
38144
35186
45562
60048
35186
65851
80048
20666
35442
80048
32432
98572
83119
83119
83119
66293
38062
32432
32432
40010
63119
19936
37053
98572
37053
98572
66293
38082
66293
37053
40010
96572
32432
83119
32432
40010
40010
66283
38062
83119
Cimenl
Veir
Winter
91459
77065
29684
63620
28159
35836
28159
35799
77065
28159
63820
77065
18807
30150
77065
27605
106837
77579
77578
77579
67349
31937
27605
27805
37321
77579
18989
33384
106837
33364
106837
67349
31937
67349
33384
37321
106837
27805
77579
27805
37321
37321
67349
31937
77579
Prior
Year
Uflntmr
mnivr
106837
77576
31937
67349
27805
37321
27805
35112
77579
27805
67349
77579
18B89
33384
77579
29060
102894
77997
77997
77997
65667
29776
29060
29060
38233
77997
18603
31652
102694
31652
102894
65667
29776
65667
31652
36233
102804
20060
77997
29060
38233
38233
65667
20776
77997
State Generating Capacity
Sleam
11900
1311
26626
243
7120
862
12054
56532
2799
6067
223
2287
6556
14979
5500
11894
6624
9203
27524
6189
3741
2022
29719
14672
7463
50
23447
19766
8853
15452
15327
7336
6010
1104
17695
6339
13868
6122
1828
13708
3753
4151
1147
10102
5572
(MW)
1C
135
e
72
2fl
1
63
0
199
34
34
20
4
91
0
16
0
36
4
46
74
20
11
295
5
382
7
266
241
538
14
136
151
64
42
368
298
332
0
5
2
27
269
0
0
26
Hydro/
Nuclear
sea
9256
6690
2
6653
1383
6191
581
211
4610
766
20949
2036
101
234
6067
2031
2369
16127
1334
2304
0
4149
4064
727
1068
9102
110
1240
817
1200
2519
2323
1237
5400
1896
2301
1373
2204
6020
430
1622
389
3277
24
Region Generating Capacity
(MW)
Sleam
57222
65226
46950
37210
101111
22569
101111
56532
65226
101111
37210
65226
32343
94132
65226
102241
56640
66343
66343
66343
37151
46420
102241
102241
22588
66343
32094
04023
56640
94023
56640
37151
46420
37151
94023
22568
56640
102241
66343
102241
22568
22568
37151
46420
66343
1C
1164
264
147
397
334
1049
334
199
284
334
397
284
358
541
264
327
1175
291
29t
291
372
147
327
327
1039
201
361
724
1175
724
1175
372
147
372
724
1039
1175
327
291
327
1039
1039
372
147
291
Hydro/
Nuclear
4905
53896
12501
16279
39329
6010
30329
581
53896
39329
16279
53896
9913
7448
53896
43516
8640
55664
55684
55664
16286
13763
43516
43516
6058
55684
11139
7530
8640
7539
8640
18286
13763
16286
7539
6058
8640
43516
55664
43516
6056
6058
16286
13763
55664
Electricity
Demand
(MWH)
State
35622
38103
101716
5374
45461
5409
70600
210796
13365
54965
4232
79930
41336
21214
9806
50035
23656
32645
183978
26227
23449
6335
110934
66573
25558
16288
99128
57979
27181
52639
60460
38079
39323
9827
72075
38687
45081
26426
12070
72409
6757
15657
7098
53814
11765
Region
190802
425367
199077
197543
466676
91169
486676
210796
425367
486676
197543
425367
140958
324715
425367
497316
191954
432777
432777
432777
201369
199589
497316
497316
92263
432777
140704
327677
191954
327677
191954
201369
199589
201369
327677
92263
191954
497316
432777
497316
92263
92263
201369
199589
432777
Average Slate I Electric
Fuel Prices 1 Generation
(Constant Dotlara/ MMBTu) | (MWH)
Coal
170.2
228.1
169.0
N/A
186.7
118.1
167.5
171.0
132.8
182.7
215.9
146.7
177.5
162.3
95.2
211.3
177.4
147.6
N/A
114.5
233.2
177.8
228.8
193.6
149.9
N/A
217.5
163.9
141.8
153.0
211.6
207.7
183.7
N/A
192.6
142.6
163.4
251.1
69.7
196.0
87.0
119.7
216.0
199.9
110.1
Oil
435.7
N/A
566.8
533.0
639.6
615.8
409.7
529.9
700.7
552.4
767.3
700.8
735.8
710.6
734.1
624.2
818.6
619.4
664.3
666.0
514.9
448.4
497.6
665.9
703.6
315.6
742.4
708.6
616.9
690.9
598.3
518.5
542.3
518.9
661.9
601.8
657.7
663.9
702.8
668.7
419.6
632.6
466.2
566.9
598.8
Gaa I Coal
252.2
N/A
454.0
375.9
558.0
555.5
332.0
352.5
354.4
410.1
389.5
359.7
399.7
480.0
490.0
320.1
276.9
364.2
452.4
369.3
343.2
373.0
329.2
441.9
368.7
559.9
532.4
429.6
294.8
366.6
273.3
351.6
370.0
N/A
470.0
383.1
312.5
278.7
95.5
412.7
451.1
316.3
N/A
407.3
357.6
20383
721
98132
0
18522
2462
45963
91901
12321
18069
50
6441
28743
77166
30187
51375
20275
29076
0
26128
1861
5866
43525
67828
20350
0
62983
77762
21917
59839
13968
10577
17613
0
59202
18449
46122
10015
8465
50845
19873
10232
3691
8571
24260
on
30
0
9544
319
82
4
119
454
30
1580
11
8
92
254
60
45
11
177
2667
21
10252
1878
13870
130
44
1
998
196
101
157
100
15017
3134
2063
537
18
90
37
16
219
25
24
1368
2921
41
Gas
22330
0
219
282
21
1
0
124604
8
303
15
2
114
15
8
73
954
3872
64516
335
135
726
15334
65
105
£
460
99
1629
110
27736
4333
88
0
413
86
99
4601
58
3<
0
103
0
534(
267E
-------
SIM*
NV
NY
OH
OK
OR
PA
Rl
SC
SD
TN
TX
UT
VA
VT
WA
Wl
WV
WY
AL
AR
AZ
CA
CO
CT
OE
H.
GA
IA
ID
IL
IN
KS
KY
LA
MA
MD
ME
Ml
MN
MO
MS
MT
NO
NO
NE
rtBr
1985
1985
1985
1965
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1986
1988
1986
1986
1986
1986
1986
1986
1986
1986
1988
1986
1986
1988
1986
19A8
1BB6
1SMf
190G
19flfl
1966
Iflffi)
1986
Iflflfi
1986
IBM)
lofic
NERC
Region
8
0
2
6
6
1
0
3
5
3
7
6
3
0
6
4
2
8
3
6
6
8
e
0
1
3
3
5
8
4
2
6
2
6
0
1
0
2
5
6
3
6
3
5
5
Coat
Generation
Coda
3
1
4
1
4
3
0
4
4
4
1
4
3
2
4
4
4
4
4
2
2
0
4
0
2
1
4
4
0
3
4
3
4
1
1
2
0
3
Qai
Penetration
Code
3
1
1
3
0
0
1
1
0
0
3
1
1
1
1
1
0
1
2
3
3
3
3
0
0
1
2
2
0
1
1
3
1
3
0
0
0
1
2
1
2
2
1
0
2
Degree
Day)
Heating
5674
6149
5719
3659
4522
5461
5884
2649
7809
3406
2238
5765
•5633
7771
5675
7324
4646
7326
1702
3155
1350
2120
6020
6151
4937
617
2991
6497
5861
6342
5615
4791
4514
1513
5641
4707
7378
7942
8890
5076
2467
7741
3399
8968
6300
Coollni
508
693
605
1859
371
878
806
1966
744
1867
2466
1047
1385
388
294
479
1031
285
2627
2005
4162
983
679
677
1046
3375
1667
1038
754
667
1014
1628
1288
2655
676
1137
268
378
431
1411
2215
366
1500
488
1072
Paak Load (MW)
Regional
Summer
83119
66293
37053
98572
63119
38062
66293
32432
40010
32432
45026
83119
32432
66293
63119
19936
37053
83119
35943
105570
61787
61787
81787
69606
39335
35943
35943
39026
61787
21039
37564
105570
37564
105570
69606
39335
69606
37584
39026
105570
35943
81787
35943
39026
39026
Current
Vear
Wlnlar
77579
67349
33364
106837
77579
31937
67349
27605
37321
27805
35112
77579
27805
67349
77579
18989
33364
77579
20060
102894
77997
77997
779S7
65667
29776
29060
29060
38233
77997
16803
31652
102894
31652
102894
65667
29776
65667
31652
38233
102894
29060
77997
29060
36233
36233
Prior
Ytir
Wlnlar
77997
65667
31652
102894
77997
29776
65667
29060
36233
29060
34618
77997
29060
65667
77997
18803
31652
77997
26036
101849
76171
76171
76171
64561
28730
28036
28036
37978
76171
16650
32807
101649
32607
101849
64561
28730
64561
32807
37976
101849
26036
78171
28036
37976
37976
Stale Genarallng Capacity
Steam
4062
23355
26111
11966
1260
26266
243
7129
862
12054
58703
2778
6943
223
2287
9547
14979
5590
11963
6306
0108
27584
5855
3493
1892
30447
15501
7461
50
22794
21199
6668
16016
15975
7267
7779
1104
17160
6322
13974
5789
2663
13709
4141
4173
(MW)
1C
64
112
101
131
6
72
26
1
63
0
174
41
24
21
4
95
0
14
0
36
3
47
74
326
6
297
5
387
8
642
242
560
13
107
206
307
44
363
278
320
0
0
4
25
256
Hydro/
Nuclear
662
9065
1012
966
9310
8163
2
7942
1383
6221
581
210
5660
770
21214
2037
101
242
6093
2931
4569
17397
1335
3558
0
4152
4129
727
1983
9089
94
1240
746
2236
2519
2360
1243
6601
1895
2300
1308
2290
6122
490
1520
Region Generating Capacity
(MW)
Coal
11642
16811
108029
20430
592
N/A3
0
19614
2513
50242
98058
14229
17811
39
7684
27663
78905
34509
51693
20676
23956
0
25630
1985
5582
42632
64883
19993
0
61634
76446
21362
64012
15586
9755
20195
0
61613
16267
44856
9806
11469
53756
19635
9319
OH
55
25927
306
39
0
7662
346
97
8
128
810
40
1008
9
8
108
248
72
34
10
123
2976
23
11103
2623
27416
270
42
0
2036
295
84
127
419
20665
2653
2615
799
22
100
636
9
171
20
54
Gaa
7
-------
State
NJ
NM
NV
NY
OH
OK
OR
PA
Rl
SC
SD
TN
TX
UT
VA
VT
WA
Wl
WV
WY
AL
AR
AZ
CA
CO
CT
DE
FL
GA
IA
ID
L
N
-------
Slats
NC
ND
NE
NH
NJ
NM
NV
NY
OH
OK
OR
PA
Rt
SC
8D
TN
TX
UT
VA
VT
WA
Wl
wv
wv
AL
AR
AZ
CA
00
CT
OE
FL
QA
(A
ID
IL
IN
KS
KY
LA
MA
MD
MF
Ml
MN
rtar
19B7
1087
1987
1967
1987
1987
1967
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
19R8
1988
19flB
NERC
Region
3
5
5
0
1
8
8
0
2
6
8
1
0
3
5
3
7
6
3
0
8
4
2
8
3
6
8
8
8
0
1
3
3
5
8
4
2
6
2
6
0
1
0
2
5
Coal
Generation
Coda
4
4
4
1
1
3
3
0
4
1
0
3
0
4
4
4
1
4
2
1
2
3
0
3
0
1
1
4
4
0
3
4
3
4
1
1
2
0
3
3
Gas
Psnoirstlon
Cod*
1
0
2
0
1
3
2
1
1
3
0
0
0
2
1
0
3
0
0
0
1
1
0
1
2
3
3
2
3
0
1
1
1
2
0
1
1
3
1
3
0
1
0
1
2
Degree
Days
Healing
3399
89b»
6300
7554
5169
4425
5674
8149
5719
3859
4522
5461
5884
2849
7809
3406
2238
5765
5633
7771
5875
7324
4646
7326
1702
3155
1350
2120
6020
6151
4937
817
2991
6497
5861
6342
5615
4791
4514
1513
5641
4707
7378
7942
8890
Coolfn;
1500
488
1072
328
826
1244
508
893
805
1859
371
878
606
1966
744
1867
2466
1047
1385
388
294
479
1031
285
2627
2005
4162
983
679
677
1046
3375
1667
1036
754
867
1014
1626
1286
2655
678
1137
268
376
431
Peak Load (MW)
Regional
Summer
37458
42651
42651
72561
39339
82987
82967
72561
40526
109798
82967
39339
72561
37458
42651
37458
47723
82967
37458
72561
82967
23162
40526
82967
41139
115168
90551
90551
90551
79149
40843
41139
41139
45245
90551
24899
43110
115168
43110
115168
79149
40843
79149
43110
45245
Cunwil
Year
Wlnlar
28036
37976
37978
64561
28730
78171
76171
64561
32807
101849
76171
26730
84561
26036
37976
28036
33877
76171
26036
64561
78171
18850
32807
76171
30618
105476
81182
81162
81182
68118
31399
30618
30616
41902
81182
19335
35775
105476
35775
105476
68118
31399
68118
35775
41902
Prior
Year
Winter
30618
41902
41902
68118
31399
81182
81182
68118
35775
105476
81182
31399
68118
30616
41902
30618
34472
81182
30618
68118
81182
19335
35775
81182
30361
108649
88523
88523
88523
68977
34628
30361
30361
42951
88523
20162
36363
108849
36363
108649
68977
34628
68977
36363
42951
Slate Qeneratfni) Capacity
(MW)
Steam
13751
4141
4036
1143
10089
5468
4039
22797
25126
12485
1272
25533
243
7177
893
12124
59253
4777
6984
170
2213
9398
14977
5590
11821
6766
9163
27499
5808
3512
1892
30699
16392
7391
50
22471
21193
8937
15841
15869
7265
7790
1104
17127
7199
rC
4
25
260
0
34
19
62
107
117
129
6
74
29
1
60
0
176
88
22
20
4
196
0
18
0
35
4
47
80
345
7
1196
5
373
7
643
242
566
14
111
221
306
44
356
262
Hydro/
Nuclear
7073
517
1520
262
4547
25
729
10268
2334
968
9089
10334
2
9147
1683
6155
599
223
6638
913
21909
1991
175
242
8090
2963
6756
18397
1375
3558
0
4152
5344
727
2031
13748
94
1238
746
2236
2519
2323
1218
fififid
DOvo
1900
legion Generating Capacity
(MW)
Steam
104353
23634
23634
36230
45304
68536
68536
36230
94169
56886
68536
45304
36230
104353
23634
104353
59253
68536
104353
36230
68536
32194
94169
68536
104579
58069
68740
68740
68740
36234
45291
104579
104579
23576
68740
31581
94292
58089
94292
58089
L36234
45291
36234
94292
23576
1C
406
996
996
740
423
329
329
740
724
1194
329
423
740
406
996
406
176
329
406
740
329
838
724
329
1306
1177
320
320
320
774
395
1306
1306
976
320
744
729
1177
729
1177
774
395
774
729
978
Hydro/
Nuclear
47973
6341
6341
18726
17241
62171
62171
18726
10065
9673
62171
17241
18726
47973
6341
47973
599
62171
47973
18726
62171
14514
10065
62171
47972
9705
62399
62399
62399
18738
17147
47972
47972
6358
62399
15778
10018
9705
10018
9705
18738
17147
18738
10018
6358
Electricity
Demand
(MWH)
State
81223
6339
16131
8042
58736
12154
12682
118691
130502
35004
36745
107138
5934
5l9OO
5691
69461
211769
13920
66678
4630
75901
44663
21042
10640
56739
25505
38717
200404
28782
26697
7527
128570
74291
28767
17073
109750
66112
25795
54121
59121
44675
47561
11265
82541
45639
Region
543742
96751
96751
216076
217799
446634
446834
216076
341810
190912
446834
217799
216076
543742
96751
543742
211769
446834
543742
216076
446834
149613
341810
446834
567097
197036
469665
469665
469665
228095
230440
567097
567097
104474
469665
157468
359417
197036
359417
197036
228095
230440
228095
359417
104474
Average Stale
FuelPrieea
(Constant Dollars/ MMBTu)
Coal
169.8
81.2
105.6
212.8
193.1
119.1
149.2
169.7
167.8
181.0
N/A
159.4
N/A
186.9
129.6
149.5
159.8
134.5
173.4
179.6
156.7
173.1
158.1
90.9
210.5
173.1
157.8
N/A
119.2
249.8
194.6
206.8
189.5
132.3
N/A
196.3
158.8
135.4
137.0
166.1
195.0
174.8
WA
183.2
130.9
OH
750.6
769.9
504.1
352.9
520.2
664.6
499.4
486.5
749.3
395.9
N/A
472.7
454.4
950.0
609.6
673.2
734.6
739.7
539.6
949.0
758.5
711.6
667.4
768.2
570.9
975.5
726.0
505.4
688.7
454.5
459.9
430.6
721.0
707.2
923.2
636.0
924.3
567.2
523.2
779.8
443.0
507.2
448.4
546.8
673.1
QBS
365.2
559.9
400.5
N/A
359.4
354.3
362.8
325.4
508.1
366.3
N/A
486.2
285.9
357.3
391.7
N/A
289.0
760.1
4933
N/A
389.9
440.9
531.2
503.6
323.4
197.9
301.3
400.0
326.1
296.6
3132
295.7
400.4
295.9
N/A
441.5
340.9
286.7
324.9
232.6
317.4
368.9
N/A
359.5
284.0
Electric
Generation
(MWH)
Coal
44931
20617
10132
2457
7447
23327
14151
17256
111608
19514
0
100429
0
22727
908
50729
100803
25356
20138
92
8507
31172
77771
36509
46835
19873
28391
0
27801
2094
5788
57516
64833
22613
0
52994
82813
23069
73847
18431
11687
23316
0
68577
24803
OH
143
21
59
2692
5866
41
221
35879
277
37
0
8757
837
76
3
125
410
124
3527
81
13
117
299
78
107
145
119
7503
39
11356
2848
25390
260
49
0
697
363
147
126
272
19908
3547
2944
1414
142
Gaa
53
0
142
0
3625
2052
545
14022
37
20239
0
63
0
155
0
0
109249
10
81
0
8
112
27
16
236
2065
2341
54010
647
111
317
14744
121
404
0
435
317
1489
40
24286
1802
402
G
589
410
-------
tlate
10
MS
ur
NC
ND
ME
NH
NJ
NM
NV
NY
OH
OK
OR
PA
Rl
SC
SD
TN
TX
UT
VA
VT
WA
Wl
wv
WY
AL
AR
AZ
CA
CO
CT
OE
FL
QA
IA
10
IL
IN
KS
KY
LA
MA
MD
/ear
1986
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1980
1989
1989
1989
1989
1989
1989
1989
1969
1969
1989
1989
1989
1989
1989
1989
1989
MERC
Region
6
3
8
3
5
5
0
1
8
8
0
2
8
8
1
0
3
5
3
7
8
3
0
8
4
2
a
3
e
a
8
e
0
i
3
3
S
a
4
2
a
2
a
0
i
Coal
Generation
Code
4
3
4
4
4
4
1
1
3
3
0
4
1
0
3
0
4
2
2
0
3
0
1
1
4
4
0
4
4
3
4
1
1
2
Gas
Penetration
Code
1
1
2
1
0
2
0
1
3
2
1
1
3
0
0
0
2
1
0
3
0
0
•o
3
2
0
1
2
3
3
2
3
0
1
1
1
2
0
2
1
3
1
3
1
1
Degree
Days
Heating
5078
2467
7741
3399
8968
6300
7554
5169
4425
5674
6149
5719
3659
4522
5461
5884
2849
7609
3406
2238
5765
5633
7771
5875
7324
4646
7326
1702
3155
1350
2120
6020
8151
4937
617
2991
6497
5661
8342
5615
4791
4514
1513
5841
4707
CoolInE
1411
2215
388
1500
486
1072
328
826
1244
508
693
805
1859
371
878
606
1966
744
1867
2466
1047
1365
388
294
479
1031
285
2627
2005
4162
983
879
677
1046
3375
1867
1036
754
867
1014
1828
1288
OfiRR
CW93
678
1137
Peak Load (MW)
Regional
Summer
115168
41139
90551
41139
45245
45245
79149
40843
90551
90551
79149
43110
115188
90551
40843
79149
41139
45245
41139
49356
90551
41139
79149
90551
24699
43110
90551
39460
117051
90657
90657
90657
75442
40402
39460
39480
45031
90657
24336
41814
117051
41614
117051
75442
40402
Current
Year
Winter
105476
30618
81162
30618
41902
41902
68118
31399
61182
81182
68118
35775
105476
81182
31399
68118
30618
41902
30618
34472
61182
30618
68118
81182
19335
35775
81182
30381
108849
88523
88523
68523
66977
34628
30381
30381
42951
88523
20162
36363
108649
36363
108649
68977
34826
Prior
Year
Winter
108649
30361
88523
30361
42951
42951
88977
34628
88523
68523
66977
36383
108649
88523
34628
68977
30361
42951
30361
4uua
dWttf
88523
30361
68977
68523
20162
36363
66523
33770
121995
84786
84766
84768
73080
38368
33770
33770
42588
84768
21360
38161
121995
36161
121995
73060
38388
Slat* Generating Capacity
(MW)
Steam
14012
5702
2659
13610
4141
3952
1143
10076
5526
4039
22797
25143
12465
1272
25533
243
7117
893
12054
60729
4921
6964
170
2213
9110
14986
5590
12457
6791
9213
27341
5565
3491
2122
30793
18150
7391
50
22405
22651
8978
16018
15664
7322
7789
1C
329
79
0
4
25
258
0
8
18
62
115
117
136
8
74
29
1
60
0
175
74
21
20
4
101
0
18
37
4
45
80
382
9
1265
339
373
5
719
158
588
14
112
224
320
Hydro/
Nuclear
2300
1373
2277
7073
517
1520
282
4547
55
692
10258
2334
968
9069
10277
2
9147
1694
6155
1961
226
6638
921
21059
2030
175
242
0 809
3005
aane
QO03
18487
1039
3558
0
4153
6583
727
2008
13746
92
1238
746
2238
2511
2323
Region Generating Capacity
(MW)
Steam
58069
104579
88740
104579
23576
23576
36234
45291
66740
66740
36234
94292
58069
88740
45291
36234
104579
23576
104579
60729
68740
104579
38234
68740
31581
94292
86740
105475
57974
68368
68368
68388
36495
45831
105475
105475
23377
68368
31265
95793
57974
95793
57974
36495
45631
1C
1177
1306
320
1306
978
978
774
395
320
320
774
729
1177
320
395
774
1306
978
1306
175
320
1306
774
320
744
729
320
1708
1210
313
313
313
814
402
1708
1708
973
313
822
648
1210
848
1210
814
402
Hydro/
Nuclear
9705
47972
62399
47972
635B
6358
18738
17147
62399
62399
18738
10018
9705
62399
17147
16738
47972
6356
47972
1961
62399
47972
18738
82399
15776
10018
62399
49270
9747
62587
62587
62587
18760
18239
49270
49270
6362
62587
15776
9942
9747
9942
9747
16760
18239
Electricity
Demand
(MWH)
Slate
50363
28276
12624
6649
17192
8510
62483
12703
13461
125675
134272
38252
38187
112669
6220
52733
6227
72259
219435
15064
70371
4853
81555
47718
22371
11095
55822
26198
40431
203432
29408
27343
8004
136160
76737
28641
17705
108936
67259
25807
58384
61330
45627
49186
Region
197036
567097
567097
104474
104474
228095
230440
469665
469665
228095
359417
197036
489665
230440
228095
567097
104474
587097
219435
489665
567097
228095
469665
157468
359417
469665
585579
200227
482183
482183
482183
233319
234802
585579
585579
104670
482183
158900
372855
200227
372655
200227
233319
234802
Average Stale
Fuel Prices
(Constant Dollars/ MMBTu)
Coal
149.7
191.6
59.6
187.1
76.3
98.2
201.2
189.2
123.3
158.6
163.9
164.9
155.6
WA
159.3
N/A
187.1
131.2
148.2
159.1
128.8
164.6
N/A
151.4
165.6
155.9
89.1
209.6
173.3
156.9
N/A
115.1
231.5
199.2
206.8
192.1
121.8
N/A
198.2
149.9
131.9
126.9
189.8
162.7
176.6
Oil
730.2
654.7
822.6
739.5
840.4
557.3
355.7
546.9
801.5
479.6
494.8
638.6
299.6
N/A
479.2
442.7
912.2
830.4
703.7
744.3
761.2
542.7
871.8
824.9
725.8
900.4
785.5
655.2
721.6
772.7
483.0
738.2
459.8
445.9
439.9
816.3
685.0
720.4
535.3
672.9
630.7
455.8
644.6
441.8
460.3
Gaa
372.8
262.5
213.9
398.5
552.7
372.8
294.1
373.9
292.6
369.7
332.9
452.0
384.6
N/A
409.5
253.5
353.6
321.4
344.5
292.6
513.9
338.2
N/A
352.9
409.1
545.1
514.7
284.6
220.1
290.8
394.4
310.4
336.1
333.1
323.5
420.2
333.7
N/A
435.9
339.6
282.2
305.7
230.7
322.2
355.2
Electric
Generation
(MWH)
Coal
49051
12051
16462
25450
12225
3197
7319
24245
16764
22761
114564
24273
0
106239
0
23485
2605
51122
112931
28806
21413
0
8670
31667
80747
38279
52601
18604
323S4
0
29406
2095
5066
59418
63405
24089
0
51124
87330
22907
86214
18081
12088
23627
OH
131
659
30
225
18
69
2828
5097
45
542
39885
415
29
0
7915
749
98
15
187
743
59
2838
26
8
97
260
62
128
144
194
9327
30
11575
2566
26287
157
43
2
339
409
109
112
298
19139
6044
Gai
112
280
37
55
0
163
5
4276
1979
899
14012
63
17638
0
211
15
226
11
16
102442
5
102
0
153
180
10
IB
' 185
2723
4840
51734
627
336
826
17416
50
163
0
SOB
374
1486
29
21900
4690
1577
-------
State
ME
Mt
MN
MO
MS
MT
NO
ND
NE
NH
NJ
NM
NV
NY
OH
OK
OR
PA
Rl
SC
8D
TN
TX
UT
VA
VT
WA
Wl
WV
WV
AL
AR
AZ
CA
CO
CT
DE
FL
QA
(A
ID
IL
IN
KS
KY
rtar
1989
19«9
i98»
1989
1989
1989
1989
1969
1989
1989
1989
1989
1989
1089
1989
1969
1989
1989
1989
1989
1989
1989
1989
1989
1989
1969
1989
1989
1989
1989
1990
1990
1990
1990
1990
1980
1990
1990
1990
1990
1990
1990
1990
1900
1990
NERC
Rig ton
0
2
5
e
a
6
a
5
5
0
1
B
8
0
2
6
8
1
0
3
5
3
7
e
a
0
8
4
2
8
a
6
a
8
a
0
1
3
3
5
8
4
2
8
2
Coal
Generation
Code
0
a
3
4
2
4
4
4
3
1
1
a
2
1
4
1
0
3
0
2
0
3
4
4
4
4
2
3
0
4
0
2
1
4
4
0
a
4
a
4
Gai
Penrtralton
Coda
0
1
1
1
2
2
]
0
2
0
1
3
2
1
1
3
a
0
1
2
1
0
a
i
0
i
2
2
0
1
2
3
3
3
3
0
1
1
1
2
0
2
1
a
i
Degree 1 Peak Load (MW)
Days B
Iflegtonil
22±S
7378
7942
6890
5076
2467
7741
3399
8968
6300
7554
5169
4425
5674
6149
5719
3859
4522
5461
5664
2649
7809
3406
2238
5765
5633
7771
5875
7324
4646
7326
1702
3155
1350
2120
6020
6151
4937
817
2991
6497
5861
6342
5615
4791
4514
Coolkiol Summer
2661 75442
378
431
1411
2215
388
1500
488
1072
328
626
1244
.506
693
805
1659
371
876
608
1966
744
1867
2466
1047
1365
388
294
479
1031
285
2627
2005
4162
963
679
677
1046
3375
1667
1036
754
867
1014
1626
1288
41614
45031
117051
39460
90657
39460
45031
45031
75442
40402
90857
90657
75442
41614
117051
90657
40402
75442
39460
45031
39460
49439
90657
39460
75442
90657
24336
41614
90857
40740
121149
97389
97389
97389
79256
42737
40740
40740
44116
97389
24994
42613
121149
42613
Cutwffl
Year
Winter
68977
36363
42951
106649
30361
88523
30361
42951
42951
68977
34828
68523
88523
68977
36363
106649
88523
34628
68977
30361
42951
30361
35649
86523
30361
66977
88523
20162
38363
88523
33770
121995
84766
84768
84768
73080
36388
33770
33770
42588
84768
21360
36161
121995
38161
Prior
Year
Winter
73080
38161
42588
121995
33770
84768
33770
42586
42588
73080
38388
84766
84768
79060
36161
121995
84768
36368
73080
33770
42588
33770
42268
84768
33770
73080
84768
21360
38161
84768
32461
117231
94252
94252
94252
67097
35615
32461
32461
40545
94252
21113
36551
117231
36551
Slate Generating Capacity
Steam
1104
17073
7039
14055
5734
2659
13824
4135
3919
1143
10216
5492
4039
23022
25074
12466
1272
25504
243
7161
893
12054
61268
4914
7302
170
2213
8860
14977
5590
13163
6791
9566
27341
5565
3491
2122
30756
16150
7390
50
22404
22651
8956
18584
(MW)
tc
44
359
259
357
79
4
25
258
8
15
62
115
117
136
6
65
29
1
58
168
74
20
20
4
103
18
0
37
4
45
80
362
9
1265
339
479
5
719
158
570
14
Hydro/
Nudeir
1246
6669
1892
2300
1373
0 226
7073
517
1521
0 261
4547
55
964
10264
2334
968
9329
11369
2
9147
1705
0 615
3329
222
6713
915
21041
2030
0 10
258
6090
3005
6895
17524
1039
3558
0
4153
6563
727
2006
13746
92
1238
746
legion Generating Capacity
(MW)
Steam
36495
95793
23377
57974
105475
68368
105475
23377
23377
38495
45631
68368
66368
36495
95793
57974
66368
45631
36495
105475
23377
105475
61268
68368
105475
36495
66366
31265
95793
68368
106215
57952
68741
68741
68741
304 v3
45631
106215
106215
23376
66741
31264
96438
57952
96438
1C
814
648
973
1210
1708
313
1708
973
973
814
402
313
313
814
648
1210
313
402
814
1708
973
1706
168
313
1708
814
313
822
646
313
2211
1230
315
315
315
613
577
2211
2211
Hwa
315
822
645
1230
645
Hydro/
Nuclear
16760
9942
6362
9747
49270
62567
49270
6362
6362
18760
18239
62587
62567
18760
9942
9747
62567
18239
18760
49270
6362
49270
3329
62587
49270
18760
62587
15776
9942
62587
49270
9747
61631
61631
61631
20044
16239
49270
49270
6382
61631
15776
9942
9747
9942
Electricity
Demand
-------
Slot*
LA
MA
MO
ME
Ml
MM
MO
MS
MT
NC
NO
NE
NH
NJ
NM
NV
NY
OH
OK
OR
PA
Rl
SC
SD
TN
TX
UT
VA
VT
WA
Wl
WV
WY
AL
AR
AZ
CA
CO
IT
>E
=L
SA
IA
ID
1L
rear
1990
1990
1990
1990
1990
1990
1990
1990
1990
1890
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1980
1990
1990
1990
1890
1991
1991
1991
1881
1991
1991
1981
1991
1991
1991
1991
1981
NERC
Region
6
0
1
0
2
5
6
3
8
3
5
5
0
1
a
a
0
2
a
a
i
0
3
5
3
7
a
3
0
B
4
2
8
3
a
a
8
B
0
1
3
3
5
8
4
Coil
Generation
Code
1
2
0
3
3
4
1
4
4
4
3
1
1
3
2
1
4
1
1
3
0
3
4
4
1
4
3
0
4
4
4
4
4
2
3
0
4
0
1
1
4
4
0
3
Gas
Penetration
Code
3
1
1
0
1
1
2
2
2
1
0
3
0
2
3
2
1
1
3
3
0
2
3
2
1
3
2
1
3
2
2
0
1
2
3
3
3
3
0
1
1
1
2
0
2
Degree
Day
Heating
1513
5641
4707
7378
/H42
8U90
5078
2487
7741
3399
Otfvff
8300
7554
5169
4425
5874
6149
5719
3659
4522
5461
5884
2849
7808
3406
2238
S765
5633
7771
5875
7324
4646
7326
1702
3155
1350
2120
6020
8151
4937
817
2991
6497
5861
6342
a
Coolfnf
2655
67B
1137
268
378
431
1411
2215
388
1500
488
1072
328
826
1244
508
683
60S
1859
371
876
606
1968
744
1867
2468
1047
1385
386
294
479
1031
285
2627
2005
4162
883
679
677
1046
3375
1667
1038
754
887
Peak Load (MW) |sie(e Sen
Regional
Summer
121149
79258
42737
79258
42613
44116
121149
40740
97388
40740
44116
44116
78258
42737
87389
97389
78258
42613
121148
97389
42737
79258
40740
44116
40740
52541
97389
40740
79258
97388
24884
42613
87369
41598
124886
92026
92028
92026
81224
41870
41598
41588
46594
92026
25498
Current
Year
Winter
121995
73080
38388
73080
38161
42588
121995
33770
84766
33770
42588
42588
73080
38388
64768
84766
73080
38161
121895
84766
38388
73080
33770
42588
33770
42266
84768
33770
73080
84766
21360
38161
64768
32461
117231
84252
84252
94252
67097
35815
32461
32461
40545
94252
21113
Pttor
Year
Winter
1 17231
67097
35815
67097
36551
40545
117231
32461
84252
32461
40545
40545
67097
35815
94252
84252
67097
36551
117231
84252
35815
67097
32481
40545
32461
38848
84252
32481
87087
84252
21113
36551
94252
33420
119575
86087
88087
66097
71181
35448
33420
33420
41866
86087
21432
Steam
15664
7322
7789
1104
17073
7039
14055
5734
2659
13824
4135
3919
1143
10216
5492
4039
23022
25153
12486
1272
25504
243
7161
683
12054
61423
4914
7374
170
2213
8860
14877
5590
13273
6814
9515
27316
5607
3491
2278
29533
14554
7649
50
22405
iratlng Capacity
(MW)
1C
112
223
404
44
356
258
376
79
0
2
25
258
0
98
15
62
115
117
136
6
as
28
1
55
0
166
76
525
20
4
103
0
16
37
4
45
80
383
8
2492
320
376
5
773
1 turtmf
nyaiw
Nuclear
2236
2511
2323
1273
6669
1692
2300
1373
2269
7073
517
1521
1504
4547
55
984
10276
2334
968
8328
11369
2
8147
1705
6158
4544
222
6713
920
21048
2030
101
258
0 809
3006
O095
17115
1034
3558
0
4153
6393
727
2009
13746
legion Geneiatfno Capacity I Electricity I Average State V Electric
(MW) | Demand | Fual Prices 1 Generation
Steam
57952
oo495
45631
36495
96438
23376
57952
106215
68741
106215
23376
23376
36495
45631
68741
68741
36495
96438
57952
68741
45631
36495
106215
23376
106215
61423
68741
106215
36485
68741
31264
86438
68741
104046
58125
69347
69347
68347
36422
47074
104046
104046
23822
89347
31328
1C
1230
613
577
813
645
1073
1230
2211
315
2211
1073
1073
813
577
315
315
813
645
1230
315
577
613
2211
1073
2211
188
315
2211
613
315
822
845
315
2912
1197
284
284
284
794
400
2912
2812
955
284
876
Hydro/ I
-------
\
I—»
t>
ilete
IN
KS
KY
U
MA
MD
ME
Ml
MN
MO
MS
MT
NC
ND
NE
NH
«
NM
NV
NV
OH
OK
DR
»A
11
SC
SO
TN
TX
UT
VA
VT
WA
Wl
WV
«Y
(ear
1991
1991
1991
1991
1991
1991
1991
1991
1991
1981
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
Iftfll
1991
NERC
Region
2
6
2
8
0
1
0
2
5
6
3
8
3
5
S
0
1
a
8
0
2
e
8
1
0
3
5
3
7
8
3
0
8
4
2
A
Coal
Generation
Coda
4
2
4
1
1
2
0
3
3
3
1
4
4
4
3
2
1
2
2
1
4
1
2
3
0
3
4
4
1
4
2
0
4
4
4
4
G»
Penetration
Code
2
3
1
3
1
1
0
2
1
2
3
2
2
0
3
0
2
3
2
1
1
3
• 3
0
2
3
2
0
3
3
1
3
2
2
0
1
Degree 1 Peek Load (MW)
Daya I
(Regloni!
HsslInQ
5615
4791
4514
1513
5641
4707
7378
7942
6690
5076
2467
7741
3399
fiUfifi
ovoo
6300
7554
5169
4425
S674
6149
5719
3659
4522
5461
5884
2649
7809
3406
2238
5765
5633
7771
5875
7324
4646
7326
Cooling] Summer
10141 45937
1626
1288
2655
678
1137
268
378
431
1411
2215
368
1500
488
1072
328
826
1244
508
693
805
1659
371
676
606
1966
744
1867
2466
'1047
1385
386
294
479
1031
285
124666
45937
124688
61224
41870
61224
45937
46594
124688
41598
92028
41598
46594
46594
61224
41870
92026
92026
61224
45937
124668
92026
41670
81224
41596
46594
41596
51885
92026
41598
81224
92026
25498
45937
92026
Cunwvt
Year
Winter
36551
M7231
36551
117231
67097
35615
67097
36551
40545
117231
32461
94252
32461
40545
40545
67097
35815
94252
94252
67097
36551
117231
94252
35615
67097
32461
40545
32461
36949
94252
32481
67097
94252
21113
36551
94252
Prior
Vear
Winter
37983
119575
37983
119575
71181
35448
71181
37983
41666
119575
33420
86097
33420
41866
41866
71181
35446
66097
86097
71181
37983
119575
86097
35446
71181
33420
41666
33420
38759
86097
33420
71161
86097
21432
37983
86097
Slate Generating Capacity
(MW)
Steam
22714
8988
16584
15785
7365
8986
1104
17088
7098
13985
5734
2659
13824
4135
3966
1143
10438
5432
4309
22906
26841
12553
1272
25374
243
7195
974
12054
61447
4949
7879
170
2343
8921
14977
(•one
9O09
1C
156
579
14
72
204
318
42
356
252
384
79
25
253
8
15
33
115
117
125
6
65
30
1
49
169
76
20
20
4
103
15
Hydro/
Nudaer
92
1238
748
2236
2511
2323
1276
6663
1893
2300
1373
0 227
0 705
517
1521
0 145
4547
55
1031
10278
2303
996
9339
11369
2
10212
1705
0 615
4548
224
6713
920
21042
2030
0 10'
266
Region Generating Capacity
(MW)
Steam
98204
56125
98204
58125
36422
47074
36422
98204
23822
58125
104046
69347
104046
23822
23822
36422
47074
69347
69347
36422
98204
58125
69347
47074
36422
104046
23822
104046
61447
69347
104046
36422
69347
31326
98204
69347
1C
645
1197
645
1197
794
400
794
645
955
1197
2912
284
2912
955
955
794
400
284
284
794
845
1197
284
400
794
2912
955
2912
189
284
2912
794
284
876
645
284
Hydra/
Nuclear
9905
9776
9905
9776
20004
16239
20004
9905
6363
9776
50150
61266
50150
6363
6363
20004
16239
61286
61286
20004
9905
9776
61286
18239
20004
50150
6363
50150
4548
61286
50150
20004
61286
15776
9905
61286
Electricity
Demand
(MWH)
Slate
71361
28426
62655
64169
44761
51118
11383
84632
49167
54434
32500
13052
90553
7144
18302
6640
64637
13681
16522
129397
145153
38291
42418
115508
6401
56892
6685
76965
234514
16562
75672
4894
87963
50963
23613
11779
Region
387414
213557
387414
213557
232628
239770
232628
387414
112133
213557
619797
502192
619797
112133
112133
232628
239770
502192
502192
232628
367414
213557
502192
239770
232628
619797
112133
819797
234514
502192
619797
232626
502192
167478
387414
502192
Average State
Fuel Prteea
(Constant DoKara/ MMBTu)
Coal
149.7
129.6
129.2
178.9
178.5
178.1
WA
159.4
128.2
141.2
178.5
64.5
168.8
74.6
64.1
197.1
209.8
137.3
150.3
169.4
161.0
138.1
128.8
170.3
N/A
173.9
116.5
135.7
156.9
130.1
157.8
WA
141.9
148.4
159.9
90.2
Oil
825.4
870.7
773.6
652.3
394.3
405.8
386.4
454.8
833.6
570.3
417.6
662.5
750.5
611.5
645.2
318.7
552.6
584.2
576.4
464.7
851.4
378.5
570.8
520.7
457.3
817.9
659.6
196.8
665.0
769.3
476.3
840.4
1050.1
544.3
918.2
669.8
Gas
297.3
237.1
360.7
204.3
284.6
301.3
N/A
301.1
224.7
200.6
206.2
377.6
368.7
553.5
250.8
N/A
320.5
224.0
250.2
344.6
333.7
371.6
225.8
361.4
235.4
197.5
256.6
540.9
258.9
220.6
211.8
224.6
393.2
339.3
472.4
434.7
Electric •
Generation
(MWH)
Coal
96527
23435
71714
18912
11661
22623
0
65136
24689
47908
8750
16132
46762
25751
13563
3168
5237
22129
15901
24938
116813
26028
2814
100359
0
23166
2727
46671
118085
26884
21939
0
7904
33469
70649
37863
Oil
354
53
112
45
15612
3935
1269
554
577
119
370
te
174
26
13
1561
1799
32
238
27754
369
19
10
3714
54
83
8
160
219
48
2036
5
7
62
232
61
Get
920
2959
22
24223
3679
1214
0
998
428
1044
5052
24
247
0
303
0
5342
266fi
1957
20031
235
16947
1164
163
117
984
9
17
97739
436
1104
95
12
180
17
{
-------
APPENDIX B
PARAMETER VALUES BY STATE
B-l
-------
State
AL
AR
AZ
CA
CO
CT
DE
FL
GA
IA
ID
IL
IN
KS
KY
LA
MA
MD
ME
Ml
MN
MO
MS
MT
NC
NO
NE
NH
NJ
NM
NV
NY
OH
OK
OR
PA
Rl
SC
SD
TN
TX
UT
VA
VT
WA
Wl
WV
WY
Values of LA(i,s,1 990) J| Generation (MWH) |
Coal
3.87071
2.85575
3.46156
-6.45196
3.55208
0.52289
2.13256
3.49764
3.94867
3.22286
-8.49393
4.18465
4.63475
3.56278
4.44850
2.99671
2.35928
2.93491
-7.91978
4.21590
3.18760
4.13170
2.55816
2.36010
3.83541
2.99141
2.41346
0.20916
2.60969
3.56992
2.36271
3.40709
4.57993
3.05377
0.84985
4.46079
-8.67024
3.08652
0.70401
3.85467
4.86511
3.29486
3.40775
-8.17165
2.14878
3.61549
4.48520
3.42201
Oil
-2.17748
-2.98516
-2.80438
0.58152
-3.72985
2.45657
0.22882
3.32720
-1 .58771
-3.23513
-7.82525
-0.59534
-0.95554
-2.57967
-1.53817
-2.58621
2.30246
1.41819
0.77622
0.37741
-0.80700
-2.09879
-0.15064
-3.96360
-1.76818
-3.41060
-3.88509
1.16898
1.32574
-2.49997
-0.32849
2.96783
-1.23849
-2.69288
-4.0841 1
2.34483
-1.46098
-2.76591
-4.27164
-2.00808
-0.21763
-3.10711
-0.49862
-4.48263
-3.90558
-2.44085
-1.36787
-2.93168
Gas It Coal
-1.241951 53.301
1.29211
1.24252
3.39194
-0.89531
-1.10148
-0.54975
2.68725
-1.64948
-1 .37668
-8.56699
0.19778
-1.77829
0.34198
-2.57245
3.29284
1.83044
1.13326
-7.88515
0.04342
-0.72991
-1.11215
2.33987
-3.21638
-2.32007
-7.37399
-0.88716
-7.90688
2.30809
0.97247
0.49084
2.43723
-2.05815
2.96180
1.03952
-1.28661
-0.51279
0.09097
-5.05253
-2.71180
4.75948
-1.34903
-0.51786
-2.74107
-2.10883
-1.21678
-3.85139
-3.72575
19.161
31.636
0.000
29.603
2.351
4.904
59.073
67.565
24.880
0.000
53.866
96.013
23.720
70.500
17.800
11.273
23.299
0.000
65.296
26.004
48.502
9.446
14.903
46.631
25.093
12.658
2.959
7.058
25.827
15.053
24.617
115.014
25.189
1.298
101.996
0.000
22.875
2.473
50.187
118.789
31.519
21.000
0.000
7.352
32.145
L_ 76.636
38.681
Oil
0.092
0.074
0.116
4.385
0.025
8.633
1.436
25.170
0.165
0.051
0.001
0.423
0.674
0.066
0.119
0.130
14.556
3.328
2.093
0.689
0.441
0.089
0.793
0.027
0.187
0.021
0.013
2.293
1.832
0.034
0.284
33.404
0.301
0.049
0.027
4.014
0.158
0.072
0.008
0.134
0.481
0.049
1.194
0.003
0.014
0.047
0.274
0.046
Gas I
0.420I
2.839
2.272
45.222
0.409
0.472
0.759
17.427
0.152
0.231
0.000
0.741
0.611
2.196
0.028
26.061
5.280
1.320
0.000
0.665
0.326
0.266
5.389
0.041
0.165
0.000
0.308
0.000
3.988
2.425
2.217
21.263
0.091
17.075
0.811
0.183
0.434
0.703
0.012
0.041
97.280
0.054
0.745
0.065
0.016
0.169
0.019
0.007
Where : LA(i,s,1990) = Neural network estimate/forecast of the
natural log of generation for fuel i in State s during 1990
B-2
-------
APPENDIX C
CROSSWALK FILES: BLS AND SCC MATCHES
C-l
-------
1
CROSSWALK TABLE FOR FILENAME: COMM_FUEL.SCC
Stationary Source Fuel Combustion: Commercial
.
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
Internal Combustion Engines
Internal Combustion Engines
Fuel Type
Anthracite Coal
Anthracite Coal
Anthracite Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Lignite Coal
Lignite Coal
Lignite Coal
JJgnite Coal
Residual Oil
Residual Oil
Residual Oil
Residual Oil
Distillate Oil
Distillate Oil
Distillate Oil
Distillate Oil
Natural Gas
Natural Gas
Natural Gas
LPG
LPG
LPG
Bituminous Coal
Distillate Oil
Natural Gas
LPG
Waste Oil
Waste Oil
Distillate Oil
Distillate Oil
Internal Combustion Engines Natural Gas
sec
'tBooioi
10300102
10300103
10300203
10300205
10300206
10300207
10300208
10300209
10300211
10300214
10300216
10300217
10300221
10300222
10300223
10300224
10300225
10300226
10300305
10300306
10300307
10300309
10300401
10300402
10300403
10300404
10300501
10300502
10300503
10300504
10300601
10300602
10300603
10301001
10301002
10301003
10500202
10500205
10500206
10500210
10500213
10500214
20300101
20300102
20300201
C-2
-------
CROSSWALK TABLE FOR FILENAME: COMMJ=UELSCC
Stationary Source Fuel Combustion: Commercial
Fuel Type
sec
Internal Combustion Engines
Natural Gas
20300202
Internal Combustion Engines
Natural Gas
20300203
Internal Combustion Engines
Natural Gas
20300204
Internal Combustion Engines
Gasoline
20300301
Internal Combustion Engines
Landfill Gas
20300801
Internal Combustion Engines
Landfill Gas
20300802
Internal Combustion Engines
LPG
20301001
Internal Combustion Engines
Stationary Source Fuel Combustion
LPG
20301002
Bituminous/Subbituminous Coal
2103002000
Stationary Source Fuel Combustion
Distillate Oil
2103004000
Stationary Source Fuel Combustion
Residual Oil
2103005000
Stationary Source Fuel Combustion
Natural Gas
2103006000
Stationary Source Fuel Combustion
Natural Gas
2103006001
Stationary Source Fuel Combustion
Natural Gas
2103006002
Stationary Source Fuel Combustion
LPG
2103007000
Stationary Source Fuel Combustion
LPG
2103007005
Stationary Source Fuel Combustion
LPG
2103007010
Stationary Source Fuel Combustion
Kerosene
2103011000
Stationary Source Fuel Combustion
Kerosene
2103011005
C-3
-------
CROSSWALK TABLE FOR FILENAME: ELECTRIC.SCC
Stationary Source Fuel Combustion: Electric Utilities
External Combustion Boilers
External Combustion Boilers j
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers .
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
1
Fuel Type
sec
An^^^Coal^^^^^^^n^O^W^
Anthracite Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
[Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Lignite Coal
JJgnite Coal
Lignite Coal
Lignite Coal
Lignite Coal
Residual Oil
Residual Oil
Residual Oil
Residual Oil
Distillate Oil
Distillate Oil
Distillate Oil
Natural Gas
Natural Gas
Natural Gas
Wood
Wood
Wood
LPG
LPG
LPG
Distillate Oil
Distillate Oil
Natural Gas
Natural Gas
Kerosene/Naphtha
nt£"3J^^
Stationa^rSource FuerDDmbustionTEIectricIJtility J Anthracite Coal
Stationary Source Fuel Combustion: Electric Utility | Bituminous/Subbituminous Coal
10100102
10100201
10100202
10100203
10100204
10100205
10100212
10100217
10100221
10100222
10100223
10100224
10100225
10100226
10100301
10100302
10100303
10100304
10100306
10100401
10100404
10100405
10100406
10100501
10100504
10100505
10100601
10100602
10100604
10100901
10100902
10100903
10101001
10101002
10101003
20100101
20100102
20100201
20100202
20100901
20100902
2101001000
2101002000
Stationary Source Fuel Combustion: Electric Utility Lignite Coal 2101003000
C-4
-------
CROSSWALK TABLE FOR FILENAME: ELECTRIC.SCC .
Stationary Source Fuel Combustion: Electric Utilities
Stationary Source Fuel Combustion: Electric Utility
Stationary Source Fuel Combustion: Electric Utility
Stationary Source Fuel Combustion: Electric Utility
Stationary Source Fuel Combustion: Electric Utility
Stationary Source Fuel Combustion: Electric Utility
Stationary Source Fuel Combustion: Electric Utility
Stationary Source Fuel Combustion: Electric Utility
Stationary Source Fuel Combustion: Electric Utility
Stationary Source Fuel Combustion: Electric Utility
Fuel Type
Distillate Oil
Distillate Oil
Distillate Oil
Residual Oil
Natural Gas
Natural Gas
Natural Gas
LPG
Wood
sec
2101004000
2101004001
2101004002
2101005000
2101006000
2101006001
2101006002
2101007000
2101008000
C-5
-------
CROSSWALK TABLE FOR FILENAME: IND_FUELSCC
Stationary Source Fuel Combustion: Industrial
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
Fuel Type
sec
Anthracite Coal
Anthracite Coal
Anthracite Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Lignite Coal
Lignite Coal
Lignite Coal
Lignite Coal
Lignite Coal
Lignite Coal
Residual Oil
Residual Oil
Residual Oil
Residual Oil
Residual Oil
Distillate Oil
Distillate Oil
Distillate Oil
Distillate Oil
Distillate Oil
Natural Gas
Natural Gas
Natural Gas
Natural Gas
Coke
Coke
LPG
LPG
10200101
10200104
10200107
10200201
10200202
10200203
10200204
10200205
10200206
10200210
10200212
10200213
10200217
10200219
10200221
10200222
10200223
10200224
10200225
10200226
10200229
10200301
10200302
10200303
10200304
10200306
10200307
10200401
10200402
10200403
10200404
10200405
10200501
10200502
10200503
10200504
10200505
10200601
10200602
10200603
10200604
10200802
10200804
10201001
10201002
C-6
-------
CROSSWALK TABLE FOR FILENAME: IND_FUEL.SCC
Stationary Source Fuel Combustion: Industrial
External Combustion Boilers
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
External Combustion Boilers: Space Heating
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment.
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Fuel Type
LPG
Bituminous Coal
Distillate Oil
Natural Gas
LPG
Waste Oil
Waste Oil
Distillate Oil
Distillate Oil
Distillate Oil
Distillate Oil
Natural Gas
Natural Gas
Natural Gas
Natural Gas
Gasoline
Diesel
Dual Fuel (Oil/Gas)
Cogeneration
Residual/Crude Oil
Process Gas
Kerosene/Naphtha
Kerosene/Naphtha
LPG
LPG
Distillate Oil
Residual Oil
Natural Gas
Process Gas
Distillate Oil
Residual Oil
Natural Gas
Process Gas
Distillate Oil
Residual Oil •
Natural Gas
Distillate Oil
Residual Oil
Natural Gas
Distillate Oil
Residual Oil
Natural Gas
Process Gas
Distillate Oil
Residual Oil
Natural Gas
sec
10201003
10500102
10500105
10500106
10500110
10500113
10500114
20200101
20200102
20200103
20200104
20200201
20200202
20200203
20200204
20200301
20200401
20200402
20200403
20200501
20200705
20200901
20200902
20201001
20201002
30190001
30190002
30190003
30190004
30190011
30190012
30190013
30190014
30190021
30190022
30190023
30290001
30290002
30290003
30390001
30390002
30390003
30390004
30390011
30390012
30390013
C-7
-------
CROSSWALK TABLE FOR FILENAME: INDJ=UELSCC
Stationary Source Fuel Combustion: Industrial
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: Fuel Fired Equipment
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Fuel Type
Process Gas
Distillate Oil
Residual Oil
Natural Gas
Process Gas
Distillate Oil
Residual Oil
Natural Gas
LPG
Distillate Oil
Residual Oil
Natural Gas
Residual Oil
Natural Gas
Distillate Oil
Residual Oil
Natural Gas
Distillate Oil
Residual Oil
Natural Gas
Process Gas
Distillate Oil
Residual Oil
Natural Gas
Process Gas
Distillate Oil
Residual Oil
Natural Gas
Process Gas
Distillate Oil
Residual Oil
Natural Gas
Natural Gas
Distillate Oil
Residual Oil
Natural Gas
Distillate Oil
Residual Oil
Natural Gas
Natural Gas
Distillate Oil
Residual Oil
Natural Gas
Anthracite Coal
Anthracite Coal
Industrial Processes: In-Process Fuel Use IBituminous/Subbituminous Coal
sec
30390014
30390021
30390022
30390023
30390024
30590001
30590002
30590003
30590005
30590011
30590012
30590013
30590022
30590023
30790001
30790002
30790003
30790011
30790012
30790013
30790014
30790021
30790022
30790023
30790024
30890001
30890002
30890003
30890004
30890011
30890012
30890013
30890023
30990001
30990002
30990003
30990011
30990012
30990013
30990023
31390001
31390002
31390003
39000189
39000199
39000201
C-8
-------
CROSSWALK TABLE FOR FILENAME: IND_FUELSCC
Stationary Source Fuel Combustion: Industrial
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
*
Fuel Type
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Bituminous/Subbituminous Coal
Lignite Coal
Lignite Coal
Residual Oil
Residual Oil
Industrial Processes: In-Process Fuel Use Residual Oil
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel.Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Misc. Industrial Processes: Fuel Fired Equipment
Residual Oil
Distillate Oil
Distillate Oil
Distillate Oil
Distillate Oil
Distillate Oil
Distillate Oil
Natural Gas
Natural Gas
Natural Gas
Natural Gas
Natural Gas
Wood
Coke
LPG
Wood
LPG
LPG
Distillate Oil
Residual Oil
Natural Gas
Distillate Oil
Residual Oil
Natural Gas
Process Gas
Distillate Oil
Residual Oil
Natural Gas
sec
39000203
39000288
39000289
39000299
39000389
39000399
39000402
39000403
39000489
39000499
39000501
39000502
39000503
39000589
39000598
39000599
39000602
39000603
39000605
39000689
39000699
39000889
39000899
39000989
39000999
39001089
39001099
39990001
39990002
39990003
39990011
39990012
39990013
39990014
39990021
39990022
39990023
^H^L*!!!^ i» iTOinmyaniiiLm^SSSSlI
JIlSBiffilliBiliiSiil^Mm^ imii'Bl 'iSBM^BBIBiiiiPiBliiml^HMmfflMHBiiwIiTlH
Stationary Source Fuel Combustion: Industrial Anthracite Coal 2102001000]
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Bituminous Coal
Distillate Oil
Residual Oil
Natural Gas
Natural Gas
Natural Gas
2102002000
2102004000
2102005000
2102006000
2102006001
2102006002
C-9
-------
CROSSWALK TABLE FOR FILENAME: IND_FUELSCC
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Stationary Source Fuel Combustion: Industrial
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
Industrial Processes: In-Process Fuel Use
'
Fuel Type
LPG
Wood
Coke
Process Gas
Kerosene
Waste Oil
Anthracite Coal
Bituminous/Subbituminous Coal
Distillate Oil
Residual Oil
Natural Gas
LPG
Process Gas
sec
2102007000
2102008020
2102009000
2102010000
2102011000
2102012000
2390001000
2390002000
2390004000
2390005000
2390006000
2390007000
2390010000
C-10
-------
CROSSWALK TABLE FOR FILENAME: OTHER.SCC .
Miscellaneous Point and Area Source Processes: Not Elsewhere Listed
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers
External Combustion Boilers: Space Heating
Internal Combustion Engines
ntemal Combustion Engines
ntemal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
sec
Industrial: Process Gas
Industrial: Process Gas
Industrial: Process Gas
Industrial: Process Gas
Industrial: Process Gas
Industrial: Wood
Industrial: Wood
Industrial: Wood
Industrial: Wood
Industrial: Wood
Industrial: Wood
Industrial: Wood
Industrial: Bagasse
Industrial: Solid Waste
Industrial: Solid Waste
Industrial: Liquid Waste
Industrial: Liquid Waste
Industrial: CO Boiler
Industrial: CO Boiler
Industrial: CO Boiler
Industrial: CO Boiler
Commercial: Process Gas
Commercial: Process Gas
Commercial: Wood
Commercial: Wood
Commercial: Wood
Commercial: Solid Waste
Commercial: Solid Waste
Commercial: Liquid Waste
Commercial: Liquid Waste
Commercial: Liquid Waste
Bituminous Coal
Electric Generation: Geysers/Geothermal
Electric Generation: Geysers/Geothermal
Electric Generation: Geysers/Geothermal
Electric Generation: Geysers/Geothermal
Electric Generation: Geysers/Geothermal
Electric Generation: Flares
Commercial: POTW Digester Gas
Engine Testing
Engine Testing
Engine Testing
Engine Testing
Engine Testing
Engine Testing
Engine Testing
10200701
10200704
10200707
10200710
10200799
10200901
10200902
10200903
10200904
10200905
10200906
10200907
10201101
10201201
10201202
10201301
10201302
10201401
10201402
10201403
10201404
10300701
10300799
10300901
10300902
10300903
10301201
10301202
10301301
10301302
10301303
10500209
20101010
20101020
20101021
20101030
20101031
20190099
20300702
20400101
20400102
20400110
20400111
20400112
20400201
20400202
C-11
-------
CROSSWALK TABLE FOR FILENAME: OTHER.SCC
Miscellaneous Point and Area Source Processes: Not Elsewhere Listed
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Internal Combustion Engines
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
ndustrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Engine Testing
Engine Testing
Engine Testing
Engjne Testing
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Wood Products: Fugitive Emissions
Wood Products: Fugitive Emissions
Wood Products: Fugitive Emissions
Wood Products: Fugitive Emissions
Wood Products: Fugitive Emissions
Wood Products: Fugitive Emissions
Wood Products: NEC
Wood Products: NEC
Rubber & Misc. Plastics: NEC
Fabricated Metal Products: NEC
Fabricated Metal Products: NEC
Fabricated Metal Products: NEC
Process Cooling Towers
Process Cooling Towers
Process Cooling Towers
Process Cooling Towers
Comfort Cooling Towers
In-Process Fuel: Process Gas
In-Process Fuel: Process Gas
In-Process Fuel: Process Gas
In-Process Fuel: Process Gas
In-Process Fuel: Process Gas
In-Process Fuel: Process Gas
In-Process Fuel: Process Gas
In-Process Fuel: Solid Waste
In-Process Fuel: Liquid Waste
In-Process Fuel: Liquid Waste
Industrial Processes: NEC, Process Heater
Industrial Processes: NEC
Industrial Processes: NEC
Industrial Processes: NEC
Industrial Processes: NEC
Industrial Processes: NEC
Industrial Processes: NEC
Industrial Processes: NEC
Industrial Processes: NEC
Organic Solvent Evap.: Fugitive Emissions
Organic Solvent Evap.: Fugitive Emissions
Organic Solvent Evap.: Fugitive Emissions
Organic Solvent Evap.: Fugitive Emissions
sec
20400301
20400302
20400401
20400402
28888801
28888802
28888803
30788801
30788802
30788803
30788804
30788805
30788898
30799998
30799999
30899999
30999997
30999998
30999999
38500101
38500102
38500110
38500120
38500202
39000701
39000702
39000788
39000789
39000797
39000798
39000799
39001299
39001389
39001399
39990004
39999989
39999991
39999993
39999994
39999995
39999996
39999998
39999999
40188801
40188802
40188803
40188804
C-12
-------
CROSSWALK TABLE FOR FILENAME: OTHER.SCC
Miscellaneous Point and Area Source Processes: Not Elsewhere Listed
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Organic Solvent Evap.: Fugitive Emissions
Organic Solvent Evap.: Fugitive Emissions
Surface Coating: Oven Heaters
Surface Coating: Oven Heaters
Surface Coating: Oven Heaters
Surface Coating: Oven Heaters
Surface Coating: Fugitive Emissions
Industrial Processes 1 Surface Coating: Fugitive Emissions
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Surface Coating: Fugitive Emissions
Surface Coating: Fugitive Emissions
Surface Coating: Fugitive Emissions
Surface Coating: Incinerators
Surface Coating: Incinerators
Surface Coating: Incinerators
Surface Coating: Incinerators
Surface Coating: NEC
Surface Coating: NEC
Surface Coating: NEC
Surface Coating: NEC
Surface Coating: NEC
Petroleum Product Storage: NEC
Government: Incineration
Government: Incineration
Government: Incineration
Commercial: Incineration
Commercial: Incineration
Commercial: Incineration
Commercial: Open Burning
Commercial: Incineration
Commercial: Incineration
Commercial: Incineration
Industrial: Incineration
Industrial: Incineration
Industrial: Incineration
Industrial: Incineration
Industrial: Open Burning
Industrial: Open Burning
Industrial: Incineration
Industrial: Incineration
Industrial: Auxiliary Fuel
llfft\\'^^^^^^^^^^^^^^^f^ff^lV^wf^^^
Industrial: Wood
Commercial: Wood
Anthracite Coal
Bituminous/Subbituminous Coal
Lignite Coal
Distillate Oil
sec
40188805
40188898
40201001
40201002
40201003
40201004
40288801
40288802
40288803
40288804
40288805
40290011
40290012
40290013
40290023
40299995
40299996
40299997
40299998
40299999
40399999
50100101
50100102
50100506
50200101
50200102
50200103
50200202
50200301
50200505
50200506
50300101
50300102
50300103
50300105
50300202
50300204
50300506
50300701
50390005
^titt&HBBRR$Rtfd^^BM
210200800C
2103008000
2199001000
2199002000
2199003000
2199004000
C-13
-------
CROSSWALK TABLE FOR FILENAME: OTHER.SCC .
]
Miscellaneous Point and Area Source Processes: Not Elsewhere Listed
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Total Area Source Fuel Combustion
Industrial Processes
Industrial Processes
Industrial Processes
Waste Disposal
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Distillate Oil
Distillate Oil
Residual Oil
Natural Gas
Natural Gas
Natural Gas
LPG
Wood
Coke
Process Gas
Kerosene
Waste Oil
In-Process Fuel Use: Wood
In-Process Fuel Use: Coke
Industrial Processes: NEC
Waste Water Treatment: POTW
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Biogenic
Geogenic
Geogenic
Geogenic
Geogenic
Miscellaneous
Miscellaneous
sec
2199004001
2199004002
2199005000
2199006000
2199006001
2199006002
2199007000
2199008000
2199009000
2199010000
2199011000
2199012000
2390008000
2390009000
2399000000
2630020000
2701001000
2701010000
2701020000
2701030000
2701200000
2701220000
2701220001
2701220002
2701220003
2701220004
2701220005
2701220006
2701220007
2701220008
2701220009
2701220999
2701240000
2701260000
2701280000
2701290000
2701400000
2701420000
2701440000
2701460000
2701480000
2730001000
2730050000
2730100000
2730100001
2740001000
2740020000
C-14
-------
CROSSWALK TABLE FOR FILENAME: OTHER.SCC
Miscellaneous Point and Area Source Processes: Not Elsewhere Listed
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Natural Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous Area Sources
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Other Combustion
Other Combustion
Other Combustion
Other Combustion
Other Combustion
Other Combustion
Other Combustion
Cooling Towers
Cooling Towers
Cooling Towers
Catastrophic/Accidental Releases
Catastrophic/Accidental Releases
Catastrophic/Accidental Releases
sec
2740020010
2740030000
2740030010
2740040000
2740040010
2810001000
2810010000
2810015000
2810025000
2810030000
2810035000
2810040000
2820000000
2820010000
2820020000
2830000000
2830001000
2830010000
C-15
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Adipic Acid
Ammonia
Ammonia
Ammonia
Ammonia
Ammonia
Ammonia
Carbon Black
Carbon Black
Carbon Black
Carbon Black
Carbon Black
Carbon Black
Carbon Black
Carbon Black
Carbon Black
Charcoal
Charcoal
Charcoal
Charcoal
Charcoal
Charcoal
Charcoal
Charcoal
Carbon Reactivation
Carbon Reactivation
Carbon Reactivation
Carbon Reactivation
Carbon Reactivation
sec
BLS
Code
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Justification
Code
f^lljpS^
30100101
30100102
30100103
30100104
30100105
30100106
30100107
30100108
30100109
30100110
30100180
30100199
30100305
30100306
30100307
30100308
30100309
30100399
30100501
30100502
30100503
30100504
30100506
30100507
30100508
30100509
30100599
30100601
30100603
30100604
30100605
30100606
30100607
30100608
30100699
30100701
30100702
30100703
30100704
30100705
131
131
131
131
131
131
131
131
131
131
131
131
136
136
136
136
136
136
137
137
137
137
137
137
137
137
137
131
131
131
131
131
131
131
131
131
131
131
131
131
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
C-16
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
— ; —
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Carbon Reactivation
Carbon Reactivation
Carbon Reactivation
Carbon Reactivation
Carbon Reactivation
Chloro-Alkali
Chloro-Alkali
Chloro-Alkali
Chloro-Alkali
Chloro-Alkali
Chloro-Alkali
Cleaning Chemicals
Cleaning Chemicals
Cleaning Chemicals
Cleaning Chemicals
Cleaning Chemicals
Cleaning Chemicals
Cleaning Chemicals
Cleaning Chemicals
Cleaning Chemicals
Trinitrotoluene
Trinitrotoluene
Trinitrotoluene
Trinitrotoluene
Trinitrotoluene
Trinitrotoluene
Trinitrotoluene
Trinitrotoluene
Trinitrotoluene
Trinitrotoluene
Hydrochloric Acid
Hydrochloric Acid
Hydrochloric Acid
Hydrofluoric Acid
Hydrofluoric Acid
Hydrofluoric Acid
Hydrofluoric Acid
Hydrofluoric Acid
Hydrofluoric Acid
Nitric Acid
Nitric Acid
Nitric Acid
sec
30100706
30100707
30100708
30100709
30100799
30100801
30100802
30100803
30100804
30100805
30100899
30100901
30100902
30100905
30100906
30100907
30100908
30100909
30100910
30100999
30101011
30101012
30101013
30101014
30101015
30101021
30101022
30101023
30101030
30101099
30101101
30101198
30101199
30101202
30101203
30101204
30101205
30101206
30101299
30101301
30101302
30101303
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
134
134
134
134
134
134
134
134
134
137
137
137
137
137
137
137
137
137
137
131
131
131
131
131
131
131
131
131
136
136
136
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO pert of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process occuring within BLS industry
5 ~ SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Soap, cleaners. & toilet goods
Soap, cleaners, & toilet goods
Soap, cleaners, & toilet goods
Soap, cleaners, & toilet goods
Soap, cleaners, & toilet goods
Soap, cleaners, & toilet goods
Soap, cleaners, & toilet goods
Soap, cleaners, & toilet goods
Soap, cleaners, & toilet goods
Misc. Chemcial Products
Misc. Chemcia! Products
[Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Justification
Code
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
C-17
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Nitric Acid
Nitric Acid
Paint
Paint
Paint _,
Paint
Paint
Paint
Varnish
Varnish
Varnish
Varnish
Varnish
Phosphoric Acid
Phosphoric Acid
Phosphoric Acid
Phosphoric Acid
Phosphoric Acid
Phosphoric Acid
Phosphoric Acid
Phosphoric Acid
Phosphoric Add
Phosphoric Acid
Phosphoric Acid
Phosphoric Acid
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
sec
30101304
30101399
30101401
30101402
30101403
30101404
30101498
30101499
30101501
30101502
30101503
30101505
30101599
30161601
30101602
30101603
30101699
30101702
30101703
30101704
30101705
30101706
30101707
^30101708
30101799
30101801
30101802
30101803
30101805
30101807
30101808
30101809
30101810
30101811
30101812
30101813
30101814
30101815
30101816
30101817
30101818
30101819
BLS
Code
136
136
135
135
135
135
135
135
135
135
135
135
135
136
136
136
136
136
136
136
136
136
136
136
136
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
Justification Code Legend
1 = Direct BLS&CC correlation
2 - SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Agricultural Chemicals
Agricultural Chemicals
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Justification
Code
2
2
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-18
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Polyethylene
Polyethylene
Polyethylene
Polyethylene
Polyethylene
Polyethylene
Polyether Resins
Polyether Resins
Polyether Resins
Polyurethane
Polyurethane
Polyurethane
Polyurethane
Polyurethane
Polyurethane
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Plastics Production
Phthalic Anhydride
Phthalic Anhydride
Phthalic Anhydride
Phthalic Anhydride
Phthalic Anhydride
Phthalic Anhydride
Phthalic Anhydride
Phthalic Anhydride
SCC
30101820
30101821
30101822
30101827
30101832
30101837
30101838
30101839
30101840
30101842
30101847
30101849
30101852
30101860
30101861
30101863
30101864
30101865
30101866
30101870
30101871
30101872
30101880
30101881
30101882
30101883
30101884
30101885
30101890
30101891
30101892
30101893
30101894
30101899
30101901
30101902
30101904
30101905
30101906
30101907
30101908
30101909
BLS
Code
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process (securing within BLS industry
5 = SCC assigned to BLS industry responsible tor Us manufacture
6 = Genera/ growth indicator
BLS Description
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
,_ 2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-19
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Printing Ink
Printing Ink
Printing Ink
Printing Ink
Printing Ink
Printing Ink
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sodium Carbonate
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
Sulfuric Acid
sec
30102001
30102002
30102003
30102004
30102005
30102099
30102101
30102102
30102103
30102104
30102105
30102106
30102107
30102108
30102110
30102111
30102112
30102113
30102114
30102120
30102121
30102122
30102199
30102201
30102301
30102304
30102306
30102308
30102310
30102312
30102314
30102316
30102318
30102319
30102320
30102321
30102322
30102323
30102324
30102325
30102331
30102332
BLS
Code
137
137
137
137
137
137
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process oceuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-20
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Sulfuric Acid
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber j
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Synthetic Organic Fiber
Cellulosic Fiber
Cellulosic Fiber .
Cellulosic Fiber
Cellulosic Fiber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
sec
30102399
30102401
30102402
30102403
30102404
30102405
30102406
30102407
30102408
30102409
30102410
30102411
30102412
30102413
30102414
30102415
30102416
30102417
30102418
30102419
30102421
30102422
30102423
30102424
30102425
30102426
30102427
30102499
30102501
30102505
30102506
30102599
30102601
30102602
30102608
30102609
30102610
30102611
30102612
30102613
30102614
30102615
BLS
Code
131
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Justification
Code
2
1
1
1
1
1
1
1
1
!_ 1
L_ 1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-21
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Synthetic Rubber
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
sec
30102616
30102617
30102618
30102619
30102620
30102621
30102622
30102623
30102624
30102625
30102626
30102627
30102628
30102630
30102641
30102642
30102643
30102644
30102645
30102646
30102650
30102651
30102652
30102653
30102654
30102655
30102656
30102699
30102701
30102704
30102705
30102706
30102707
30102708
30102709
30102710
30102711
30102712
30102713
30102714
30102717
30102718
BLS
Code
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
132
136
136
136
136
136
136
136
136
136
136
136
136
136
136
Justification Code Legend '
1 = Direct BLS/SCC correlation
2 - SCO part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents en ancillary process occuring within BLS industry
S - SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Plastics Materials & Synthetics
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-22
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Ammonium Nitrate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Normal Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Triple Superphosphate
Ammonium Phosphates
Ammonium Phosphates
Ammonium Phosphates
Ammonium Phosphates
Ammonium Phosphates
SCC
30102720
30102721
30102722
30102723
30102724
30102725
30102727
30102728
30102729
30102730
30102801
30102803
30102804
30102805
30102806
30102807
30102820
30102821
30102822
30102823
30102824
30102825
30102826
30102903
30102904
30102905
30102906
30102907
30102908
30102909
30102910
30102920
30102921
30102922
30102923
30102924
30102925
30103001
30103002
30103003
30103004
30103020
BLS
Code
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents en ancillary process occuring Within BLS industry
5 - SCC assigned to BLS industry responsible for its manufacture
6 = Generel growth indicator
BLS Description
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals.
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-23
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Ammonium Phosphates
Ammonium Phosphates
Ammonium Phosphates
Ammonium Phosphates
Ammonium Phosphates
Ammonium Phosphates
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Terephthalic Acid
Elemental Sulfur
Elemental Sulfur
Elemental Sulfur
Elemental Sulfur
Elemental Sulfur
Elemental Sulfur
Pesticides
Pesticides
Pesticides
Pesticides
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
Ethanolamines
sec
30103021
30103022
30103023
30103024
30103025
30103099
30103101
30103102
30103103
30103104
30103105
30103106
30103107
30103108
30103109
30103180
30103199
30103201
30103202
30103203
30103204
30103205
30103299
30103301
30103311
30103312
30103399
30103402
30103403
30103404
30103405
30103406
30103410
30103411
30103412
30103414
30103415
30103420
30103425
30103430
30103435
30103499
BLS
Code
136
136
136
136
136
136
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
136
136
136
136
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-24
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Inorganic Pigments
Sodium Bicarbonate
Hydrogen Cyanide
Hydrogen Cyanide
Hydrogen Cyanide
Urea
Urea
Urea
Urea
Urea
Urea
Urea
Urea
Urea
Urea
Urea
Urea
Urea
Nitrocellulose
Nitrocellulose
Nitrocellulose
Nitrocellulose
Nitrocellulose
Lead Alkyl
LeadAlkyl
Lead Alkyl
LeadAlkyl
Lead Alkyl
Organic Fertilizer
sec
30103501
30103502
30103503
30103506
30103507
30103510
30103515
30103520
30103550
30103551
30103552
30103553
30103554
30103599
30103801
30103901
30103902
30103903
30104001
30104002
30104003
30104004
30104005
30104006
30104007
30104008
30104009
30104010
30104011
30104012
30104013
30104101
30104102
30104103
30104104
30104199
30104201
30104202
30104203
30104204
30104301
30104501
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
136
136
136
136
136
136
136
136
136
136
136
136
136
137
137
137
137
137
131
131
131
131
131
136
Justification Code Legend
1 = Direct BLS/SCC correlation
2 - SCC pert of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 ~ General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Misc. Chemcial Products
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Agricultural Chemicals
Justification
Code
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
2
2
2
2
2
1
C-25
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
•
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
General Processes
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
Pharmaceuticals
General Processes
General Processes
Acetone
Ketones
Ketones
Acetone
Acetone
Acetone
Acetone
Acetone
Ketones
Maleic Anhydride
Maleic Anhydride
Maleic Anhydride
Maleic Anhydride
Maleic Anhydride
Maleic Anhydride
Bauxite
Bauxite
Elemental Phosphorous
Elemental Phosphorous
Elemental Phosphorous
Boric Acid
Potassium Chloride
SCC
30105001
30106001
30106002
30106003
30106004
30106005J
30106006
30106007
30106008
30106009
30106010
30106011
30106012
30106013
30106021
30106022
30106023
30106099
30107001
30107002
30109101
30109105
30109110
30109151
30109152
30109153
30109154
30109180
30109199
30110002
30110003
30110004
30110005
30110080
30110099
30111103
30111199
30111201
30111202
30111299
30111301
30111401
BLS
Code
137
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = Generel growth indicator
BLS Description
Misc. Chemcial Products
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Drugs
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals .
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
•* 2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-26
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCO Description
Formaldehyde
Formaldehyde
Formaldehyde
Formaldehyde
Formaldehyde
Acetaldehyde
Acetaldehyde
Acetaldehyde
Acetaldehyde
Acetaldehyde
Butyraldehyde
Acrolein
Acrolein
Acrolein
Acrolein
Acrolein
Acrolein
Organic Dyes/Pigments
Chloroprene
Chloroprene
Chloroprene
Chloroprene
Chloroprene
Chloroprene
Chloroprene
Chloroprene
Ethylene Dichloride
Ethylene Dichloride
Ethylene Dichloride
Ethylene Dichloride
Ethylene Dichloride
Ethylene Dichloride
Chloromethanes
Chloromethanes
Chloromethanes
Chloromethanes
Ethyl Chloride
Perchloroethylene
Perchloroethylene
Perchloroethylene
Perchloroethylene
1,1,1 -Trichloroethane
sec
30112001
30112002
30112005
30112006
30112007
30112011
30112012
30112013
30112014
30112017
30112021
30112031
30112032
30112033
30112034
30112037
30112099
30112199
30112401
30112402
30112403
30112404
30112405
30112406
30112407
30112480
30112501
30112502
30112504
30112505
30112506
30112509
30112510
30112511
30112512
30112514
30112515
30112520
30112521
30112522
30112524
30112525
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct SLS/5CC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCO represents an ancillary process occuring within BLS industry
5 - SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals-
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-27
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
1,1,1-Trichloroethane
1,1,1-Trichloroethane
1,1,1-Trichloroethane
1 ,1 ,1-Trichloroethane
Trichloroethylene
Trichloroethylene
Trichloroethylene
Trichloroethylene
Trichloroethylene
Chlorobenzene
Vinyl Chloride
Vinyl Chloride
Vinyl Chloride
Vinyl Chloride
Vinyl Chloride
Vinyl Chloride
Vinyl Chloride
Vinyl Chloride
Vinyl Chloride
Vinylidene Chloride
Vmylidene Chloride
Vinylidene Chloride
Vinylidene Chloride
Chlorinated Organics
Brominated Organics
Fluorocarbons
Fluorocarbons
Fluorocarbons
Fluorocarbons
Fluorocarbons
Fluorocarbons
Fluorocarbons
Ammonium Sulfate
Ammonium Sulfate
Acetic Acid
Acetic Acid
Acetic Acid
Acetic Acid
Acetic Acid
Acetic Acid
Acetic Acid
Acetic Acid
sec
30112526
30112527
30112528
30112529
30112530
30112531
30112532
30112533
30112534
30112535
30112540
30112541
30112542
30112543
30112544
30112545
30112546
30112547
30112550
30112551
30112552
30112553
30112555
30112599
30112699
30112701
30112702
30112703
30112720
30112730
30112740
30112780
30113004
30113005
30113201
30113205
30113210
30113221
30113222
30113223
30113224
30113227
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
136
136
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS&CC correlation
2 = SCC pan of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents en ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Agricultural Chemicals
Agricultural Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-28
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
'
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Acetic Acid
Acetic Anhydride
Acetic Anhydride
Acetic Anhydride _,
Acetic Anhydride
Esters Production
Esters Production
Esters Production
Acetylene
Acetylene
Acetylene
Acetylene
Acetylene
Bispheno! A
Butadiene
Butadiene
Butadiene
Butadiene
Butadiene
Butadiene
Butadiene
Butadiene
Cumene
Cumene
Cumene
Cumene
Cumene
Cumene
Cumene
Cumene
Cyclohexane
Cyclohexane
Cyclohexane
Cyclohexane
Cyclohexane
Cyclohexanone/ol
Cyclohexanone/ol
Cyclohexanone/ol
Cyclohexanone/ol
Cyclohexanone/ol
Cyclohexanone/ol
Vinyl Acetate
SCC
30113299
30113301
30113302
30113303
30113380
30113701
30113710
30113799
30114001
30114002
30114003
30114004
30114005
30115201
30115301
30115310
30115311
30115312
30115320
30115321
30115322
30115380
30115601
30115602
30115603
30115604
30115605
30115606
30115607
30115680
i_ 30115701
30115702
30115703
30115704
30115780
30115801
30115802
30115803
30115821
30115822
30115880
30116701
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification dodo Legend
1 = Direct 8LS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals'
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-29
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCC Description
Vinyl Acetate
Vinyl Acetate
Vinyl Acetate
Vinyl Acetate
Vinyl Acetate
Ethyl Benzene
Ethyl Benzene
Ethyl Benzene
Ethyl Benzene
Ethyl Benzene
Ethyl Benzene
Ethyl Benzene
Ethylene Oxide
Ethylene Oxide
Ethylene Oxide
Ethylene Oxide
Ethylene Oxide
Ethylene Oxide
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol) _
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (GlyceroJ)
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol)
Glycerin (Glycerol)
Toluene Diisocyanate
Toluene Diisocyanate
Toluene Diisocyanate
Toluene Diisocyanate
Toluene Diisocyanate
Toluene Diisocyanate
Toluene Diisocyanate
Toluene Diisocyanate
SCC
30116702
30116703
30116704
30116780
30116799
30116901
30116902
30116903
30116904
30116905
30116906
30116980
30117401
30117402
30117410
30117411
30117421
30117480
30117601
30117610
30117611
30117612
30117613
30117614
30117615
30117616
30117617
30117618
30117630
30117631
30117632
30117633
30117634
30117680
30118101
30118102
30118103
30118104
30118105
30118106
30118107
30118108
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Cod? Legend
1= Direct BLS&CC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
S = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals'
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-30
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Toluene Diisocyanate
Toluene Diisocyanate
Toluene Diisocyanate
Methyl Methacrylate
Methyl Methacrylate
Methyl Methacrylate
Methyl Methacrylate
Methyl Methacrylate
Methyl Methacrylate
Methyl Methacrylate
Methyl Methacrylate
Methyl Methacrylate
Methyl Methacrylate
Nitrobenzene
Nitrobenzene
Nitrobenzene
Nitrobenzene
Nitrobenzene
Nitrobenzene
Nitrobenzene
Propylene
Propylene
Propylene
Propylene
Propylene
Propylene
Butylene
Ethylene
Ethylene
Ethylene
Ethylene
Ethylene
Ethylene
Olefins: General
Phenol
Phenol
Phenol
Phenol
Phenol
Phenol
Phenol
Phenol
sec
30118109
30118110
30118180
30119001
30119002
30119003
30119004
30119010
30119011
30119012
30119013
30119014
30119080
30119501
30119502
30119503
30119504
30119505
30119506
30119580
30119701
30119705
30119706
30119707
30119708
30119709
30119710
30119741
30119742
30119743
30119744
30119745
30119749
30119799
30120201
30120202
30120203
30120204
30120205
30120206
30120210
30120211
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-31
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Phenol
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Propylene Oxide
Styrene
Styrene
sec
30120280
30120501
30120502
30120503
30120504
30120505]
30120506
30120507
30120508
30120509
30120520
30120521
30120522
30120523
30120524
30120525
30120526
30120527
30120528
30120529
30120530
30120531
30120532
30120540
30120541
30120542
30120543
30120544
30120545
30120546
30120547
30120548
30120549
30120550
30120551
30120552
30120553
30120554
30120555
30120580
30120601
30120602
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 - Direct BJ.S/SCC correction
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process oocuring within BLS industry
5 ~ SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals .
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-32
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Styrene
Styrene
Caprolactum
Caprolactum
Caprolactum
Caprolactum
Caprolactum
Caprolactum
Caprolactum
Caprolactum
Caprolactum
Caprolactum
Caprolactum
Linear Alkylbenzene
Linear Alkylbenzene
Linear Alkylbenzene
Linear Alkylbenzene
Linear Alkylbenzene
Linear Alkylbenzene
Linear Alkylbenzene
Linear Alkylbenzene
Linear Alkylbenzene
Linear Alkylbenzene
Methanol
Methanol
Methanol
Methanol
Alcohols
Alcohols
Alcohols
Alcohols
Alcohols
Alcohols
Ethylene Glycol
Ethylene Glycol
Ethylene Glycol
Ethylene Glycol
Ethylene Glycol
Ether Production
Glycol Ethers
Glycol Ethers
Glycol Ethers
sec
30120603
30120680
30121001
30121002
30121003
30121004
30121005
30121006
30121007
30121008
30121009
30121010
30121080
30121101
30121102
30121103
30121104
30121121
30121122
30121123
30121124
30121125
30121180
30125001
30125002
30125003
30125004
30125005
30125010
30125015
30125020
30125025
30125099
30125101
30125102
30125103
30125104
30125180
30125201
30125301
30125302
30125305
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-33
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Glycol Ethers
Glycol Ethers
Glycol Ethers
Glycol Ethers
Glycol Ethers
Glycol Ethers
Nitrites Production
Acrylonitrile
Acrylonitrile
Acrylonitrile
Acrylonitrile
Acrylonitrile
Adiponitrile
Adiponitrile
Adiponitrile
Adiponitrile
Adiponitrile
Adiponitrile
Adiponitrile
Adiponitrile
Adiponitrile
Nitriles Production
Benzene
Benzene
Benzene
Toluene
Toluene
Toluene
Aromatics Production
Mixed Xylenes
Mixed Xylenes
Mixed Xylenes
Aromatics Production
Aromatics Production
Chlorobenzene
Chlorobenzene
Chlorobenzene
Chlorobenzene
Chlorobenzene
Chlorobenzene
Chlorobenzene
Chlorobenzene
sec
30125306
30125315
30125316
30125325
30125326
30125380
30125401
30125405
30125406
30125407
30125408
30125409
30125410
30125411
30125412
30125413
30125415
30125416
30125417
30125418
30125420
30125499
30125801
30125802
30125803
30125805
30125806
30125807
30125810
30125815
30125816
30125817
30125880
30125899
30130101
30130102
30130103
30130104
30130105
30130106
30130107
30130108
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process oocoring within BLS industry
5 = SCC assigned to BLS industry responsible for Us manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals j
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-34
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Chlorobenzene
Chlorobenzene
Carbon Tetrachloride
Carbon Tetrachloride
Carbon Tetrachloride
Carbon Tetrachloride
Allyl Chloride _j
Allyl Chloride
Allyl Chloride
Allyl Chloride
Allyl Chloride
Allyl Chloride
Allyl Alcohol J
Allyl Alcohol
Allyl Alcohol
Allyl Alcohol
Allyl Alcohol
Allyl Alcohol
Epichlorohydrin
Epichlorohydrin
Epichlorohydrin
Epichlorohydrin
Epichlorohydrin
Epichlorohydrin
Nitroglycerin
Nitroglycerin
Nitroglycerin
General Processes
General Processes
General Processes
General Processes
General Processes
General Processes
General Processes
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
sec
30130110
30130180
30130201
30130202
30130203
30130280
30130301
30130302
30130303
30130304
30130305
30130380
30130401
30130402
30130403
30130404
30130405
30130480
30130501
30130502
30130503
30130504
30130505
30130580
30140101
30140102
30140103
30180001
30181001
30182001
30182002
30182003
30183001
30184001
30187001
30187002
30187003
30187004
30187005
30187006
30187007
30187008
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 * SCC represents an ancillary process occuring within BLS industry
5 - SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
industrial cnemicais
Industrial Chemicals
Industrial Chemicals
industrial cnemicais
Industrial Chemicals
Industrial Chemicals
1 1 A * 1 ^k * 1
industrial cnemicais
Industrial Chemicals
Industrial Chemicals
industrial Chemicals
Industrial Chemicals
Industrial Chemicals ^
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
industrial chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
4
4
4
C-35
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage _,
Inorganic Chemical Storage j
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Waste Gas Flares
Chem. Processes: NEC
;hem. Processes: NEC
^bbJ&itvlndrBd'feroduciBaiBBBB
Alfalfa Dehydration
Alfalfa Dehydration
Alfalfa Dehydration
Alfalfa Dehydration
Alfalfa Dehydration
sec
30187009
30187010
30187011
30187012
30187013J
30187014
30187015
30187016
30187097
30187098
30187501
30187502
30187511
30187512
30187513
30187514
30187515
30187516
30187597
30187598
30188501
30188502
30188503
30188504
30188505
30188599
30188801
30188802
30188803
30188804
30188805
30188806
30188807
30190099
30199998
30199999
HDB
30200101
30200102
30200103
30200104
30200199
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
107
107
107
107
107
Justification Code Legend
1 = Direct BL&SCC correlation
2 * SCO part of a larger BLS group
3 - BLS represents SCO end use
4 = SCO represents an ancillary process occuring within BLS industry
5 = SCO assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals j
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
BH^^SBBHSBQHHBBBSB!
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
^
2
2
2
2
C-36
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description j
Coffee Roasting
Coffee Roasting
Coffee Roasting
Coffee Roasting
Instant Coffee
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Cotton Ginning
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
SCC
30200201
30200202
30200203
30200299
30200301
30200401
30200402
30200403
30200404
30200405
30200406
30200407
30200408
30200409
30200410
30200411
30200412
30200415
30200499
30200501
30200502
30200503
30200504
30200505
30200506
30200507
30200508
^30200509
30200510
30200511
30200512
30200513
30200514
30200515
30200516
30200517
30200518
30200519
30200520
30200521
30200522
30200524
BLS
Code
112
112
112
112
112
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Misc. Food & Kindred Products
Misc. Food & Kindred Products
Misc. Food & Kindred Products
Misc. Food & Kindred Products
Misc. Food & Kindred Products
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-37
-------
1
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Terminal Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators j
Feed & Grain Country Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators
Feed & Grain Country Elevators
General
General
Barley Milling
Milo Milling .
Barley Milling
Barley Milling
Barley Milling
Milo Milling
Durum Milling
Durum Milling
Durum Milling
Durum Milling
Rye Milling
Rye Milling
Rye Milling
Rye Milling
General Processes
Wheat Milling
Wheat Milling
Wheat Milling
Wheat Milling
Com: Dry Milling
Com: Dry Milling
Com: Dry Milling
Com: Dry Milling
Com: Dry Milling
SCC
30200525
30200526
30200531
30200532
30200601
30200602
30200603
30200604
30200605
30200606
30200607
30200608
30200609
30200610
30200611
30200699
30200701
30200702
30200703
30200704
30200705
30200706
30200707
30200710
30200711
30200712
30200713
30200714
30200721
30200722
30200723
30200724
30200730
30200731
30200732
30200733
30200734
30200741
30200742
30200743
30200744
30200745
BLS
Code
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
Justification Coda Legend
1 = Direct BL&SCC corre/afton
2 = SCC port of a larger BLS group
3 * BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products, & Fats & Oils
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-38
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Com: Dry Milling
Com: Wet Milling
Com: Wet Milling
Com: Wet Milling
Com: Wet Milling
Com: Wet Milling
Com: Wet Milling
Oat Milling
Rice Milling
Rice Milling
Rice Milling
Rice Milling
Soybean Milling
Soybean Milling
Soybean Milling
Soybean Milling
Soybean Milling
Soybean Milling
Soybean Milling
Soybean Milling
Soybean Milling
Soybean Milling
Soybean Milling
Milling: NEC
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
Feed Mfg.
SCC
30200746
30200751
30200752
30200753
30200754
30200755
30200756
30200760
30200771
30200772
30200773
30200774
30200781
30200782
30200783
30200784
30200785
30200786
30200787
30200788
30200789
30200790
30200791
30200799
30200801
30200802
30200803
30200804
30200805
30200806
30200807
30200808
30200809
30200810
30200811
30200812
30200813
30200815
30200816
30200821
30200822
30200823
BLS
Code
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
Justification Code Legend
1 = Direct BLS/SCC conflation
2 = SCC part of a larger BLS group
3 = BLS represents SCC and use
4 = SCC represents an ancillary process occuring within BLS industry
5 ~ SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Grain Mill Products, & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
fZrain Mill PmHiifte H. Fate A (tile
vi am 1*1111 riuuuws, « rciui a wiia
Grain Mill Products. & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-39
-------
CROSSWALK TABLE F.OR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Feed Mfg.
Beer Production
Beer Production
Beer Production
Beer Production
Beer Production
Beer Production
Beer Production
Beer Production
Beer Production
Beer Production
Beer Production
Beer Production
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Whiskey Fermentation
Wines, Brandy, & Brandy Spirits
Wines, Brandy, & Brandy Spirits
Wines, Brandy, & Brandy Spirits
Wines, Brandy, & Brandy Spirits
Wines, Brandy, & Brandy Spirits
Wines, Brandy, & Brandy Spirits .
Wines, Brandy, & Brandy Spirits
Wines, Brandy, & Brandy Spirits
Wines, Brandy, & Brandy Spirits
Fish Processing
Fish Processing
Fish Processing
Fish Processing
Fish Processing
Fish Processing
Fish Processing
Meat Smokehouses
Starch Mfg.
sec
30200899
30200901
30200902
30200903
30200904
30200905
30200906
30200910
30200911
30200912
30200920
30200998
30200999
30201001
30201002
30201003
30201004
30201005
30201006
30201010
30201011
30201012
30201020
30201099
30201101
30201102
30201103
30201104
30201105
30201106
30201110
30201120
30201199
30201201
30201202
30201203
30201204
30201205
30201206
30201299
30201301
30201401
BLS
Code
107
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
110
104
104
104
104
104
104
104
104
107
Justification Code Legend
1 = Direct BLS/SCC correlation
2 " SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Grain Mill Products, & Fats & Oils
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Meat Products
Meat Products
Meat Products
Meat Products
Meat Products
Meat Products
Meat Products
Meat Products
Grain Mill Products, & Fats & Oils
Justification
Code
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
1
2
C-40
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Starch Mfg.
Starch Mfg.
Starch Mfg.
Starch Mfg.
Starch Mfg.
Starch Mfg.
Sugar Cane Processing
Sugar Cane Processing
Sugar Beet Processing
Sugar Beet Processing
Peanut Processing
Peanut Processing
Peanut Processing
Peanut Processing
Peanut Processing
Candy Mfg.
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Vegtable Oil Processing
Beef Cattle Feedlots
Beef Cattle Feedlots
Poultry & Egg Production
Poultry & Egg Production
Poultry & Egg Production
Poultry & Egg Production
SCC
30201402
30201403
30201405
30201406
30201421
30201422
30201501
30201599
30201601
30201699
30201701
30201702
30201703
30201704
30201799
30201899
30201901
30201902
30201903
30201904
30201905
30201906
30201907
^30201908
30201908
30201911
30201912
30201913
30201914
30201915
30201916
30201917
30201918
30201919
30201920
30201999
30202001
30202002
30202101
30202102
30202105
30202106
BLS
Code
107
107
107
107
107
107
109
109
109
109
109
109
109
109
109
109
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
3
3
3
3
3
3
Justification Code Legend
1 - Direct B/.S/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Sugar & Confectionary Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Justification
Code
2
2
2
2
2
2
1
1
1
1
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
2
3
3
3
3
3
3
C-41
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Cotton Seed Delinting
Seed Production
Mushroom Growing
Dairy Products
Dairy Products
Export Grain Elevators
Export Grain Elevators
Export Grain Elevators
Export Grain Elevators
Export Grain Elevators
Export Grain Elevators
Export Grain Elevators
Export Grain Elevators
Export Grain Elevators
Bakeries
Bakeries
Bakeries
Tobacco Processing
Deep Fat Frying
Animal/Poultry Rendering
Carob Kibble
Carob Kibble
Cereal
Cereal
-ugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fuel Fired Equipment
Food Broiling
Food & Kindred Products: NEC
Food & Kindred Products: NEC
sec
30202201
30202601
30202801
30203001
30203099
30203103
30203104
30203105
30203106
30203107
30203108
30203109
30203110
30203111
30203201
30203202
30203299
30203399
30203601
30203801
30203901
30203902
30204001
30204201
30288801
30288802
30288803
30288804
30288805
30290005
30291001
30299998
30299999
BLS
Code
3
3
3
3
3
3
3
3
3
3
3
3
3
3
108
108
108
113
107
104
109
109
107
107
107
107
107
107
107
3
112
3
3
Jauxite Processing I 30300001) 6
Bauxite Processing
bauxite Processing
Bauxite Processing
Aluminum Ore
Aluminum Ore
Aluminum Ore
Aluminum Ore
30300002
30300003
30300004
30300101
30300102
30300103
30300104
6
6
6
45
45
45
45
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Bakery Products
Bakery Products
Bakery Products
Tobacco Products
Grain Mill Products, & Fats & Oils
Meat Products
Sugar & Confectionary Products
Sugar & Confectionary Products
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products, & Fats & Oils
Grain Mill Products. & Fats & Oils
Grain Mill Products. & Fats & Oils
Agricultural Services
Misc. Food & Kindred Products
Agricultural Services
Agricultural Services
IWIIUliflUBINttllBUfiiUI
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Justification
Code
2
2
5
3
3
2
2
2
2
2
2
2
2
2
1
1
1
1
4
3
3
3
4
4
4
4
4
4
4
4
4
4
4
IHIUHUI
2
2
2
2
1
1
1
1
C-42
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Aluminum Ore
Aluminum Ore
Aluminum Ore
Aluminum Ore
Aluminum Ore
Aluminum Ore
Aluminum Ore
Aluminum Ore
Aluminum Hydroxide
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
By-Product Coke Mfg.
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
SCC
30300105
30300106
30300107
30300108
30300109
30300110
30300111
30300199
30300201
30300302
30300303
30300304
30300305
30300306
30300307
30300308
30300309
30300310
30300311
30300312
30300313
30300314
30300315
30300316
30300331
30300332
30300333
30300334
30300335
30300336
30300341
30300342
30300343
30300344
30300351
30300352
30300353
30300361
30300399
30300502
30300503
30300504
BLS
Code
45
45
45
45
45
45
45
45
45
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
45
45
45
Justification Code Legend
1 - Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
e = General growth indicator
BLS Description
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-43
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Primary Copper Smelting
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
sec
30300505
30300506
30300507
30300508
30300509
30300510
30300511
30300512
30300513
30300514
30300515
30300516
30300517
30300518
30300519
30300521
30300522
30300523
30300524
30300525
30300526
30300527
30300528
30300529
30300530
30300531
30300532
30300533
30300534
30300535
30300599
30300601
30300602
30300603
30300604
30300605
30300606
30300607
30300608
30300609
30300610
30300611
BLS
Code
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
43
43
43
43
43
43
43
43
43
43
43
Justification Code Legend
1 - Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
[Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-44
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Ferroalloy Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
ran Production
Iron Production
Iron Production
ron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
sec
30300613
30300614
30300615
30300616
30300617
30300618
30300619
30300621
30300622
30300623
30300624
30300625
30300651
30300652
30300653
30300654
30300699
30300701
30300702
30300703
30300704
30300801
30300802
30300804
30300805
30300808
30300809
30300811
30300812
30300813
30300814
30300815
30300816
30300817
30300818
30300819
30300820
30300821
30300822
30300823
30300824
30300825
BLS
Code
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
Justification Code Legend
1 - Direct S/.S/SCC correlation
2 - SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 - SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel. Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod. ,
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Justification
Code
1
1
1
1
1
1
L 1
1
1
1
1
1
1
1
C-45
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iron Production
Iran Production
Iron Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Steel Production
Lead Production
sec
30300826
30300827
30300828
30300829
30300831
30300832
30300833
30300834
30300841
30300842
30300899
30300901
30300904
30300906
30300907
30300908
30300910
30300911
30300912
30300913
30300914
30300915
30300916
30300917
30300918
30300919
30300920
30300921
30300922
30300923
30300924
30300925
30300930
30300931
30300932
30300933
30300934
30300935
30300936
30300998
30300999
30301001
BLS
Code
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
45
Justification Code Legend
1 = Direct BLS/SCC correlation
2 - SCO part Of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Primary Nonferrous Metals
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
C-46
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Lead Production
Molydedenum Ore Mining
Molydedenum Ore Mining
Molydedenum Ore Mining
Titanium Processing
Titanium Processing
Titanium Processing
Gold Processing
Barium Ore Processing
Barium Ore Processing
Barium Ore Processing
Barium Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
sec
30301002
30301003
30301004
30301005
30301006
30301007
30301008
30301009
30301010
30301011
30301012
30301013
30301014
30301015
30301016
30301017
30301018
30301019
30301020
30301021
30301022
30301023
30301024
30301025
30301026
30301027
30301099
,_ 30301 101
30301102
30301199
30301201
30301202
30301299
30301301
30301401
30301402
30301403
30301499
30302301
30302302
30302303
30302304
BLS
Code
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
Justification Code Legend
1 = Dtoct BLS&CC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO and use
4 = SCO represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
2
2
2
2
2
2
2
2
C-47
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Taconite Ore Processing
Metal Mining: General
Metal Mining: General
Metal Mining: General
Metal Mining: General
Metal Mining: General
Metal Mining: General
Metal Mining: General
Metal Mining: General
Metal Mining: General
Metal Mining: General
Metal Mining: General
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Zinc Production
sec
30302305
30302306
30302307
30302308
30302309
30302310
30302311
30302312
30302313
30302314
30302315
30302316
30302321
30302322
30302401
30302402
30302403
30302404
30302405
30302406
30302407
30302408
30302409
30302410
30302411
30303002
30303003
30303005
30303006
30303007
30303008
30303009
30303010
30303011
30303012
30303014
30303015
30303016
30303017
30303018
30303019
30303020
BLS
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
Justification Code Legend
1 = Direct BLS/SCC correlation
2 - SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring wti
ft//) BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Metal Mining
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-48
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Zinc Production
Zinc Production
Zinc Production
Zinc Production
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Primary Metals: NEC
Secondarv-MetatsaJBilSibaa^a
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Aluminum
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
SCC
30303021
30303022
30303023
30303099
30388801
30388802
30388803
30388804
30388805
30399999
30400101
30400102
30400103
30400104
30400105
30400106
30400107
30400108
30400109
30400110
30400111
30400112
30400113
30400114
30400115
30400116
30400117
30400118
30400120
30400121
30400130
30400131
30400132
30400133
30400150
30400199
30400204
30400207
30400208
30400209
30400210
BLS
Code
45
45
45
45
45
45
45
45
45
45
46
46
46
46
46
46
46
46
46
47
47
47
47
48
46
46
46
46
49
46
46
46
46
46
47
47
46
46
46
46
46
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 ~ SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
••MMiiiiWliliM
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Nonferrous Rolling & Drawing
Nonteirous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Foundries
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Metal Cans & Shipping Containers
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
C-49
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Secondary Copper
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
sec
30400211J
30400212
30400214
30400215
30400216
30400217
30400219
30400220
30400221
30400223
30400224
30400230
30400231
30400232
30400233
30400234
30400235
30400236
30400237
30400238
30400239
30400240
^30400241
30400250
30400251
30400299
30400301
30400302
30400303
30400304
30400305
30400310
30400314
30400315
30400316
30400317
30400320
30400325
30400330
30400331
30400332
30400333
BLS
Code
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
48
46
46
46
46
46
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
Justification Code Legend
1 - Direct BLS/SCC correlation
2 - SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Nonferrous Foundries
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
L 2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
C-50
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Gray Iron Foundries
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Secondary Lead
Lead Battery Mfg.
sec
30400340
30400341
30400342
30400350
30400351
30400352
30400353
30400354
30400355
30400356
30400357
30400358
30400360
30400370
30400371
30400398
30400399
30400401
30400402
30400403
30400404
30400405
30400406
30400407
30400408
30400409
30400410
30400411
30400412
30400413
30400414
30400415
30400416
30400417
30400418
30400419
30400420
30400421
30400422
30400423
30400499
30400501
BLS
Code
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
46
46
46
46
46
46
46
46
48
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
82
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCO represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Nonferrous Foundries
[Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Storage Batteries & Engine Electrical
Justification
Code
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
C-51
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Lead Battery Mfg.
Magnesium
Magnesium
Steel Foundries
Steel Foundries
Steel Foundries .
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
sec
30400504
30400505
30400506
30400507
30400508
30400509
30400510
30400511
30400512
30400513
30400514
30400521
30400522
30400523
30400524
30400525
30400526
30400527
30400528
30400529
30400530
30400599
30400601
30400699
30400701
30400702
30400703
30400704
30400705
30400706
30400707
30400708
30400709
30400710
30400711
30400712
30400713
30400714
30400715
30400716
30400717
30400718
BLS
Code
82
82
82
82
82
82
82
82
82
82
82
82
82
82
82
82
82
82
82
82
82
82
45
45
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part Of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Storage Batteries & Engine Electrical
Primary Nonferrous Metals
Primary Nonferrous Metals
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-52
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Steel Foundries
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
SCC
30400720
30400721
30400722
30400723
30400724
30400725
30400726
30400730
30400731
30400732
30400733
30400735
30400736
30400737
30400739
30400740
30400741
30400742
30400743
30400744
30400745
30400760
30400765
30400768
30400770
30400775
30400780
30400785
30400799
30400801
30400802
30400803
30400805
30400806
30400807
30400809
30400810
30400811
30400812
30400814
30400818
30400824
BLS
Code
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
44
46
46
46
46
46
46
46
46
46
46
46
46
46
Justification Code Legend
1- Direct BLSf3CC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 * General growth indicator
BLS Description
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
C-53
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc j
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Secondary Zinc
Malleable Iron
Malleable Iron
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
SCC
30400828
30400834
30400838
30400840
30400841
30400842
30400843
30400851
30400852
30400853
30400854
30400855
30400861
30400862
30400863
30400864
30400865
30400866
30400867
30400868
30400869
30400870
30400871
30400872
30400873
30400874
30400875
30400876
30400877
30400899
30400901
30400999
L^ 30401 001
30401002
30401004
30401005
30401006
L_ 30401 007
30401008
30401010
30401011
30401015
BLS
Code
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
44
44
45
45
45
45
45
45
45
45
45
45
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Iron & Steel Foundries
Iron & Steel Foundries
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-54
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Nickel Production
Furnace Electrode Mfg.
Furnace Electrode Mfg.
Furnace Electrode Mfg.
Furnace Electrode Mfg.
Furnace Electrode Mfg.
Metal Heat Treating
Metal Heat Treating
Metal Heat Treating
Lead Cable Coating
Misc. Casting & Fabricating
Misc. Casting & Fabricating
Misc. Casting & Fabricating
Misc. Casting & Fabricating
Misc. Casting & Fabricating
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
Fuel Fired Equipment
SCC
30401016
30401017
30401018
30401019
30401061
30401062
30401063
30401099
30402001
30402002
30402003
30402004
30402099
30402201
30402210
30402211
30404001
30404901]
30404902
30404999
30405001
30405099
30488801
30488802
30488803
30488804
30488805
30490001
30490002
30490003
30490004
30490011
30490012
30490013
30490014
^30490021
30490022
30490023
30490024
30490031
30490032
30490033
BLS
Code
45
45
45
45
45
45
45
45
74
74
74
74
74
46
46
46
57
48
48
48
48
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
Justification Cods Legend
1 = Direct 8/.S/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Primary Nonferrous Metals
Electrical Industrial Apparatus
Electrical Industrial Apparatus
Electrical Industrial Apparatus
Electrical Industrial Apparatus
Electrical Industrial Apparatus
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Metal Services
Nonferrous Foundries
Nonferrous Foundries
Nonferrous Foundries
Nonferrous Foundries
Nonterrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nontenous Roiling & Drawing
Nonterrous Roiling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonreifous Roiling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Nonferrous Rolling & Drawing
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
4
4
2
1
1
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-55
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Fuel Fired Equipment
Secondary Metals: NEC
iffl^ga^S^fflffiffl^iiffiBBMB^i^
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphalt Roofing
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Asphaltic Concrete
Brick Mfg.
sec
30490034
30499999
S^IBHH
30500101
30500102
30500103
30500104
30500105
30500106
30500107
30500108
30500110
30500111
30500112
30500113
30500114
30500115
30500120
30500121
30500130
30500131
30500132
30500133
30500198
30500201
30500202
30500203
30500204
30500205
30500206
30500207
30500208
30500209
30500210
30500211
30500212
30500213
30500214
30500215
30500290
30500299
30500301
BLS
Code
47
Justification Code Legend
1 ~ Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Nonferrous Rolling & Drawing
47 1 Nonferrous Rolling & Drawing
^||jj|^jJp|j|^^^^^^^^^all!^BllmiSiiJM^HB^K
139 1 Misc. Petroleum & Coal Products
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
139
42
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Misc. Petroleum & Coal Products
Stone, Clay, & Misc. Mineral Prod.
Justification
Code
4
4
1TITT1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-56
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Brick Mfg.
Calcium Carbide
Calcium Carbide
Calcium Carbide
Calcium Carbide
Calcium Carbide
Calcium Carbide
Calcium Carbide
Castable Refractory
Castable Refractory
Castable Refractory
Castable Refractory
Castable Refractory
Castable Refractory
Castable Refractory
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
SCC
30500302
30500303
30500304
30500307
30500308
30500309
30500310
30500311
30500312
30500313,
30500314
30500315
30500316
30500317
30500318
30500321
30500397
30500398
30500399
30500401
30500402
30500403
30500404
30500405
30500406
30500499
30500501
30500502
30500503
30500504
30500505
30500598
30500599
30500606
30500607
30500608
30500609
30500610
30500611
30500612
30500613
30500614
BLS
Code
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
131
131
131
131
131
131
131
42
42
42
42
42
42
42
41
41
41
41
41
41
41
41
41
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Stone. Clay. & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone. Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Stone, Clay. & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay. & Misc. Mineral Prod.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc. _j
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
3
3
3
3
3
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-57
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCO Description
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Dry Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Cement Mfg.: Wet Process
Ceramic Clay Mfg.
Ceramic Clay Mfg.
Ceramic Clay Mfg.
Ceramic Clay Mfg.
Ceramic Clay Mfg.
Ceramic Clay Mfg.
Ceramic Clay Mfg.
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
Clay & Fly Ash Sintering
sec
30500615
30500616
30500617
30500618
30500619
30500620
30500699
30500706
30500707
30500708
30500709
30500710
30500711
30500712
30500714
30500715
30500716
30500717
30500718
30500719
30500799
30500801
30500802
30500803
30500804
30500805
30500806
30500899
30500901
30500902
30500903
30500904
30500905
30500906
30500907
30500908
30500909
30500910
30500915
30500916
30500917
30500999
BLS
Code
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
Justification Co& Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod. n
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-58
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
SCC
30501001
30501002
30501003
30501004
30501005
30501006
30501007
30501008
30501009
30501010
30501011
30501012
30501013
30501014
30501015
30501016
30501017
30501021
30501022
30501023
30501024
30501030
30501031
30501032
30501033
30501034
30501035
30501036
30501037
30501038
30501039
30501040
30501041
30501042
30501043
30501044
30501045
30501046
30501047
30501048
30501049
30501050
BLS
Code
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Justification Code Legend
1 = Direct BLS/SCC correlation
2 - SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-59
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Surface Mining Operations
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Concrete Batching
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Fiberglass Mfg.
Frit Mfg.
Frit Mfg.
Glass Mfg.
Glass Mfg.
SCC
30501051
30501060
30501061
30501062
30501090
30501099
30501101
30501106
30501107
30501108
30501109
30501110
30501111
30501112
30501113
30501114
30501115
30501120
30501199
^30501201
^30501202
30501203
30501204
30501205
30501206
30501207
30501206
30501209
30501211
30501212
30501213
30501214
30501215
30501221
30501222
30501223
30501224
30501299
30501301
30501399
30501401
30501402
BLS
Code
7
7
7
7
7
7
41
41
41
41
41
41
41
41
41
41
41
41
41
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
40
40
Justification Code Legend
1 - Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Coal Mining
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum; etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay. & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone. Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc.* Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay. & Misc. Mineral Prod.
Stone, Clay. & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone. Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Glass & Glass Products
Glass & Glass Products
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
C-60
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Glass Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Gypsum Mfg.
Lime Mfg.
sec
30501403
30501404
30501405
30501406
30501407
30501408
30501410
30501411
30501412
30501413
30501414
30501415
30501416
30501417
30501418
30501420
30501421
30501499
30501501
30501502
30501503
30501504
30501505
30501506
30501507
30501508
30501509
30501510
30501511
30501512
30501513
30501514
30501515
30501516
30501517
30501518
30501519
30501520
30501521
30501522
30501599
30501601
BLS
Code
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
40
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
Justification Codo Lsgond
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
Glass & Glass Products
(jiass cfc oiass "roaucts
Glass & Glass Products
Cement Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-61
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg. __,
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Lime Mfg.
Mineral Wool
Mineral Wool
Mineral Wool
Mineral Wool
Mineral Wool
Mineral Wool
Fertile Mfg.
Pertite Mfg.
Phosphate Rock
Phosphate Rock
Phosphate Rock
Phosphate Rock
Phosphate Rock
Phosphate Rock
Phosphate Rock
Phosphate Rock
Phosphate Rock
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
sec
30501602
30501603
30501604
30501605
30501606
30501607
30501608
30501609
30501610
30501611
30501612
30501613
30501614
30501615
30501616
30501617
30501699
30501701
30501702
30501703
30501704
30501705
30501799
30501801
30501899
30501901
30501902
30501903
30501904
30501905
30501906
30501907
30501908
30501999
30502001
30502002
30502003
30502004
30502005
30502006
30502007
30502008
BLS
Code
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
42
42
42
42
42
42
42
42
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents en ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Cement, Concrete, Gypsum, etc.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-62
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Stone Quarrying/Processing
Salt Mining
Salt Mining
Salt Mining
Salt Mining
Salt Mining
Salt Mining
Potash Production
Potash Production
Magnesium Carbonate
Magnesium Carbonate
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Sand/Gravel
Diatomacous Earth
Diatomacous Earth
SCC
30502009
30502010
30502011
30502012
30502013
30502014
30502015
30502016
30502017
30502018
30502020
30502031
30502032
30502033
30502099
30502101
30502102
30502103
30502104
30502105
30502106
30502201
30502299
30502401
30502499
30502501
30502502
30502503
30502504
30502505
30502506
30502507
30502508
30502509
30502510
30502511
30502512
30502513
30502514
30502599
30502601
30502699
BLS
Code
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
Justification Code Legend
1 = Direct BLS&CC correlation
2 - SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except tueis
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetaiiic minerals, excgpi lueis
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
rwiimoiiviiu iinifemi&, cjwepi lucid
Nonmetallic minerals, except lueis
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetaiiic minerals, except lueis
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmstdiiic minorais, except Tueis
• • t- "* * i * j. *
Nonmetallic minerals, except tueis
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except tueis
Justification
Code
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
1
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
C-63
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
,
1st/2nd Level SCO Description
Ceramic Electric Parts
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Mining
Asbestos Milling
Asbestos Milling
Asbestos Milling
Asbestos Milling
Asbestos Milling
Asbestos Milling
Asbestos Milling
Vermiculite
Feldspar
Feldspar
Pyrrhotite
Pyrrhotite
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying: Nonmetallic
Mining & Quarrying; Nonmetallic
Mining & Quarrying: Nonmetallic
sec
30503099
30503101
30503102
30503103
30503104
30503105
30503106
30503107
30503108
30503109
30503110
30503111
30503199
30503201
30503202
30503203
30503204
30503205
30503206
30503299
30503301
30503401
30503402
30503901
30503902
30504001
30504002
30504003
30504010
30504020
30504021
30504022
30504023
30504024
30504025
30504030
30504031
30504032
30504033
30504034
30504036
30504099
BLS
Code
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process (securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Justification
Code
1
3
3
3
3
3
3
3
3
3
3
3
3
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-64
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Mica
Mica
Sandspar
Bulk Materials Elevators
Bulk Materials Elevators
Bulk Materials Elevators
Bulk Materials Elevators
Bulk Materials Elevators
Bulk Materials Elevators
Bulk Materials Elevators
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Conveyors
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Storage Bins
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
sec
30509001
30509002
30509101
30510001
30510002
30510003
30510004
30510005
30510006
30510007
30510101
30510102
30510103
305-10104
30510105
30510106
30510107
30510108
30510196
30510197
30510198
30510199
30510201
30510202
30510203
30510204
30510205
30510206
30510207
30510208
30510209
30510296
30510297
30510298
30510299
30510301
30510302
30510303
30510304
30510305
30510306
30510307
BLS
Code
10
10
10
10
10
10
10
10
10
10
10
41
7
7
7
10
42
10
10
10
40
42
10
41
7
7
7
10
42
10
10
10
10
40
42
10
41
7
7
7
10
42
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Cement, Concrete, Gypsum, etc.
Coal Mining
Coal Mining
Coal Mining
Nonmetallic minerals, except fuels
Stone, Clay, & Misc. Mineral Prod.
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Glass & Glass Products
Stone, Clay, & Misc. Mineral Prod.
Nonmetallic minerals, except fuels
Cement Concrete, Gypsum, etc.
Coal Mining
Coal Mining
Coal Mining
Nonmetallic minerals, except fuels
Stone, Clay, & Misc. Mineral Prod.
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
NonmetaiHc minerals, except fuels
Nonmetallic minerals, except fuels
Glass & Glass Products
Stone, Clay, & Misc. Mineral Prod.
Nonmetallic minerals, except fuels
Cement, Concrete, Gypsum, etc.
Coal Mining
Coal Mining
Coal Mining
Nonmetallic minerals, except fuels
Stone, Clay. & Misc. Mineral Prod.
Justification
Code
2
2
2
4
4
4
4
4
4
4
4
4
4
4
4
4
2
4
4
4
1
2
4
4
4
4
4
4
2
4
4
4
4
1
2
4 -
4
4
4
4
4
3
C-65
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Open Stockpiles
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Unloading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Bulk Materials Loading Operation
Calcining: General
Calcining: General
Calcining: General
Calcining: General
Calcining: General
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Mineral Products: NEC
sec
30510308
30510309
30510310
30510396
30510397
30510398
30510399
30510401
30510402
30510403
30510404
30510405
30510406
30510407
30510408
30510496
30510497
30510498
30510499
30510501
30510502
30510503
30510504
30510505
30510506
30510507
30510508
30510596
30510597
30510598
30510599
30515001
30515002
30515003
30515004
30515005
30588801
30588802
30588803
30588804
30588805
30599999
BLS
Code
10
10
10
10
10
40
42
136
41
7
7
7
10
42
10
10
10
40
42
10
41
7
7
7
10
42
10
10
10
40
42
42
42
42
42
42
42
42
42
42
42
42
Justification Code Legend'
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible lor its manufacture
6 ~ General growth indicator
BLS Description
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Glass & Glass Products
Stone, Clay, & Misc. Mineral Prod.
Agricultural Chemicals
Cement, Concrete, Gypsum, etc.
Coal Mining
Coal Mining
Coal Mining
Nonmetallic minerals, except fuels
Stone, Clay, & Misc. Mineral Prod.
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Glass & Glass Products
Stone, Clay, & Misc. Mineral Prod.
Nonmetallic minerals, except fuels
Cement, Concrete, Gypsum, etc.
Coal Mining
Coal Mining
Coal Mining
Nonmetallic minerals, except fuels
Stone, Clay, & Misc. Mineral Prod.
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Glass & Glass Products
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Stone, Clay, & Misc. Mineral Prod.
Justification
Code
4
4
4
4
4
1
3
4
4
4
4
4
4
4
4
4
4
1
4
4
4
4
4
4
4
4
4
4
4
4
4
2
2
2
2
2
4
4
4
4
4
4
C-66
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
gg^fellmKeflani^amiimffiaMU
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Fluid Catalytic Cracking
Fluid Catalytic Cracking
Thermal Catalytic Cracking
Slowdown Systems
Slowdown Systems
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Vacuum Disitllation Column
Vacuum Disitllation Column
Cooling Towers
Cooling Towers
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
sec
'
^^^^^^^^^^^^^^^^HJ
30600101
30600102
30600103
30600104
30600105
30600106
30600107
30600108
30600111
30600199
30600201
30600202
30600301
30600401
30600402
30600503
30600504
30600505
30600506
30600602
30600603
30600701
30600702
30600801
30600802
30600803
30600804
30600805
30600806
30600807
30600811
30600812
30600813
30600814
30600815
30600816
30600817
30600818
30600819
30600820
30600821
BLS
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
Justification Code Legend
1 = Direct BLS/SCC correlation •
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
IHMflMSHBR(DHMHHDM8HBHBRHfflS!9K99R8&
^H^HUUUII|jBHKHH^H^^^^B^^^B^HHiHB8^^H^H
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining '
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Justification
^H
1
1
1
1
1
1
1
1
1
1
1
1
1
1
4
4
4
4
1
1
1
1
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-67
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Fugitive Emissions
Flares
Flares
Flares
Flares
Flares
Flares
Sludge Converter
Asphalt Blowing
Fluid Coking Units
Petroleum Coke Calcining
Petroleum Coke Calcining
Bauxite Burning
Incinerators
Incinerators
Incinerators
Incinerators
Incinerators
Lube Oil Refining
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Petroleum Refining: NEC
Petroleum Refining: NEC
l^^/^S^xs^S^S^I^IJ^JI^jft
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
sec
30600822
30600901
30600902
30600903
30600904
30600905
30600999
30601001
30601101
30601201
30601401
30601402
30601599
30609901
30609902
30609903
30609904
30609905
30610001
30688801
30688802
30688803
30688804
30688805
30699998
BLS
Code
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
»*am«m
30700101
30700102
30700103
30700104
30700105
30700106
30700107
30700108
30700109
3070011 a
30700111
30700112
30700113
30700114
30700115
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process occuring within BLS industry
5 ~ SCC assigned to BLS industry responsible for its manufacture
6 * General growth indicator
BLS Description
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
^^^^^^^^^^^^^^^^^^^^^^B^^^^Q^B^Blfl^^B^BBI^Hf^BSI
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
Mmm
1
1
1
1
1
1
C-68
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfate (Kraft) Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Sulfite Pulping
Neutral Sulfite Semichemical
Neutral Sulfite Semichemical
Neutral Sulfite Semichemical
Neutral Sulfite Semichemical
Pulpboard Mfg.
Pulpboard Mfg.
Pulpboard Mfg.
Wood Pressure Treating
Wood Pressure Treating
Wood Pressure Treating
Wood Pressure Treating
Plywood/Particleboard Operations
Piywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
SCC
30700116
30700117
30700118
30700119
30700120
30700121
30700122
30700199
30700203
30700211
30700212
30700213
30700214
30700215
30700221
30700222
30700223
30700231
30700232
30700233
30700234
30700299
30700301
30700302
30700303
30700304
30700401
30700402
L_ 30700499
30700501
30700597
30700598
30700599
30700701
30700702
30700703
30700704
30700705
30700706
30700707
30700708
30700709
BLS
Code
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
34
34
34
34
33
33
33
33
33
33
33
33
33
Justification Code Legend
1 * Direct SLS/SCC correlation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 ~ SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Wood Containers & Misc. Wood Prod.
lAf«uu4 f^jmiABHAMt ft ftjiet** lAfjuuJ DHU|
wood Containers & MISC. wooa prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
1
1
1
1
1
1
1
1
1
C-69
-------
CROSSWALK TABLE FDR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Plywood/Particleboard Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Sawmill Operations
Paper Coating
Misc. Paper Processes
Misc. Paper Processes
Misc. Paper Products
Misc. Paper Products
Furniture Mfg.
Furniture Mfg.
Furniture Mfg.
Furniture Mfg.
Furniture Mfg.
Furniture Mfg.
sec
30700710
30700711
30700712
30700713
30700714
30700715
30700716
30700717
30700718
30700720
30700725
30700727
30700730
30700798
30700799
30700801
30700802
30700803
30700804
30700805
30700806
30700807
30700808
30700820
30700821
30700822
30700895
30700896
30700897
30700898
30700899
30701199
30701201
30701220
30701301
30701399
30702001
30702002
30702003
30702004
30702098
30702099
BLS
Code
33
33
33
33
33
33
33
33
33
33
33
33
33
33
33
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
122
120
120
122
122
37
37
39
39
39
37
Justification Code Legend
1 = Direct BLS/SCC correlation
2 - SCC part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Converted Paper Prod., except Containers
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Converted Paper Prod., except Containers
Converted Paper Prod., except Containers
Household Furniture
Household Furniture
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Household Furniture
Justification
Code
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
1
1
1
1
1
1
C-70
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Misc. Woodworking Operations
Misc. Woodworking Operations
Misc. Woodworking Operations
Misc. Woodworking Operations
Misc. Woodworking Operations
Misc. Woodworking Operations
Pulp, Paper, Wood Prod. Handling
Pulp, Paper, Wood Prod. Handling
Pulp, Paper, Wood Prod. Handling
Pulp, Paper, Wood Prod. Handling
Pulp, Paper, Wood Prod. Handling
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Rubber & Misc. Plastic Products
Tire Retreading
Other Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
Fabricated Plastic Products
sec
30703001
30703002
30703096
30703097
30703098
30703099
30704001
30704002
30704003
30704004
•s«a
30800101
30800102
30800103
30800104
30800105
30800106
30800107
30800108
30800109
30800110
30800120
30800121
30800122
30800123
30800197
30800198
30800199
30800501
30800699
30800701
30800702
30800703
30800704
30800705
30800720
30800721
30800722
30800723
30800724
30800799
BLS
Code
34
34
34
34
34
34
31
31
31
31
31
mt
140
140
140
140
140
140
140
140
140
140
140
140
140
140
140
140
140
140
140
142
142
142
142
142
142
142
142
142
142
142
Justification Code Legend .
1 - Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = SIS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
Sawmills & Planning Mills
II^IUy^lllljUIIB^UBUIBluiHtt
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Tires and Inner Tubes
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Justification
Code
2
2
2
2
2
2
1
1
1
1
1
BUUU
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
C-71
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Plastic Foam Products
Plastic Foam Products
Plastic Foam Products
Fabricated Plastic Products
F-a'tiricatet^Wagtlfgpaiic^i^M^
General Processes
General Processes
Abrasive Blasting
Abrasive Blasting
Abrasive Blasting
Abrasive Blasting
Abrasive Blasting
Abrasive Blasting
Abrasive Blasting
Abrasive Blasting
Abrasive Blasting
Abrasive Blasting
Abrasive Cleaning
Abrasive Cleaning
Abrasive Cleaning
Abrasive Cleaning
Welding
Welding
Electroplating Operations
Electroplating Operations
Electroplating Operations
Electroplating Operations
Electroplating Operations
Electroplating Operations
Electroplating Operations
Electroplating Operations
Electroplating Operations
Electroplating Operations
Conversion Coating
Conversion Coating
Conversion Coating
Conversion Coating
Conversion Coating
Chemical Milling
Metal Pipe Coating
Metal Pipe Coating
Metal Pipe Coating
sec
30800801
30800802
30800803
30800901
mzagiSMm
30900198
30900199
30900201
30900202
30900203
30900204
30900205
30900206
30900207
30900208
30900298
30900299
30900301
30900302
30900303
30900304
30900501
30900502
30901001
30901002
30901003
30901004
30901005
30901006
30901007
30901097
30901098
30901099
30901101
30901102
30901103
30901104
30901199
30901501
30901601
30901602
30901603
BLS
Code
142
142
142
142
54
54
57
57
57
57
57
57
57
57
57
57
57
57
57
57
52
52
57
52
52
52
52
52
52
57
57
57
57
57
57
57
57
57
57
57
57
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = 5CC represents an ancillary process occuring within BLS industry
5 = SCO assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
moamm^m^MUim^miHM
Forgings
Forgings
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Metal Services
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Justification
Code
5
5
5
5
••Hi
1
1
1
1
1
1
1
1
1
1
4
4
1
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
2
2
2
C-72
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Metal Pipe Coating
Metal Pipe Coating
Metal Pipe Coating
Metal Pipe Coating
General Processes
Drum Cleaning/Reclamation
Machining Operations
Machining Operations
Machining Operations
Machining Operations
Machining Operations
Metal Deposition Processes
Metal Deposition Processes
Metal Deposition Processes
Metal Deposition Processes
'orcelain Enamel
Porcelain Enamel
:ugitive Emissions
:ugitive Emissions
;ugitive Emissions
Fugitive Emissions
:ugitive Emissions
;ugitive Emissions
3ma'iGa*:ja'Hnri^ttilfl!flBBMB
Jrude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production
sec
30901604
30901605
30901606
30901607
30902099
30902501
30903004
30903005
30903006
30903007
30903099
30904001
30904010
30904020
30904030
30906001
30906099
30988801
30988802
30988803
30988804
30988805
3Q988806
BL^L^B
31000101
31000102
31000103
31000104
31000105
31000121
31000122
31000123
31000124
31000125
31000126
31000127
31000128
31000129
31000140
31000141
31000142
31000143
BLS
Code
57
57
57
57
49
49
52
52
52
52
52
57
57
57
57
57
57
52
52
52
52
52
52
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
Justification Code Legend
1 = Direct BLS/SCC correlation
2 - SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Metal Services
Metal Services
Metal Services
Metal Services
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Fabricated Structured Metal Products
Fabricated Structured Metaj Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Justification
Code
2
2
2
2
1
1
4
4
4
4
4
2
2
2
2
2
2
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-73
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Crude Oil Production
Crude Oil Production
Crude Oil Production
Crude Oil Production _,
Crude Oil Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Natural Gas Production
Process Heaters
'rocess Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
Process Heaters
sec
31000144
31000145
31000146
31000160
31000199
31000201
31000202
31000203
31000204
31000205
31000206
31000207
31000221
31000222
31000223
31000224
31000225
31000226
31000227
31000228
31000229
31000230
31000299
31000301
31000302
31000303
L_ 31000304
31000305
31000306
31000307
31000308
31000309
31000310
31000311
31000401
31000402
31000403
31000404
31000405
31000411
31000412
31000413
BLS
Code
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 ~ BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 ~ General growth indicator
BLS Description
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-74
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Justification Code Legend
- Direct BLSrSCC conation
Point Source and Area Source Processes (Manufacturing)
2 = SCC part of a larger BLS group
3 - BLS represents SCO end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible lor its manufacture
S = General growth indicator
BLS
Justification
SCC
BLS Description
1st/2nd Level SCC Description
Code
Code
Process Heaters
31000414
8
Crude petroleum, natural gas
Process Heaters
31000415
8
Crude petroleum, natural gas
Fugitive Emissions
31088801
8
Crude petroleum, natural gas
Fugitive Emissions
31088802
8
Crude petroleum, natural gas
Fugitive Emissions
31088803
8
Crude petroleum, natural gas
Fugitive Emissions
31088804
8
Crude petroleum, natural gas
Fugitive Emissions
31088805
8
Crude petroleum, natural gas
Fugitive Emissions
Building Contractors
Building Contractors
31100102
304
Construction
Building Contractors
31100103
304
Construction
Building Contractors
31100199
304
Construction
Demolition
31100201
304
Construction
Demolition
31100202
304
Construction
6
Demolition
31100203
304
Construction
6
Demolition
31100204
304
Construction
Demolition
31100205
304
Construction
Demolition
31100206
304
Construction
6
Demolition
31100299
304 Construction
Miscellaneous Machinery
72 Industrial Machinery
Semiconductors & Related Devices
Circuit Board Mfg.
General Processes
31303501
81
Misc. Electronic Components
General Processes
31303502
81
Misc. Electronic Components
Integrated Circuit/Semi-Conductor
31306500
80
Semiconductors & Related Devices
Integrated Circuit/Semi-Conductor
31306501
80
Semiconductors & Related Devices
Integrated Circuit/Semi-Conductor
31306505
80
Semiconductors & Related Devices
Integrated Circuit/Semi-Conductor
31306510
80
Semiconductors & Related Devices
Integrated Circuit/Semi-Conductor
31306520
80
Semiconductors & Related Devices
Integrated Circuit/Semi-Conductor
31306530
80
Semiconductors & Related Devices
Integrated Circuit/Semi-Conductor
31306531
80
Semiconductors & Related Devices
Integrated Circuit/Semi-Conductor
31306599
80
Semiconductors & Related Devices
Electrical Winding Reclamation
31307001
74
Electrical Industrial Apparatus
Electrical Winding Reclamation
31307002
74
Electrical Industrial Apparatus
Electrical Equipment: NEC
31399999
Electrical Industrial Apparatus
Automobile/Truck Assembly
31400901
84
Motor Vehicles & Car Bodies
Brake Shoe Depending
31401001
182
Automobile Parking. Repair & Services
Brake Shoe Depending
31401002
182
Automobile Parking. Repair & Services
Auto Body Shredding
31401101
182
Automobile Parking. Repair & Services
C-75
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Justification Code Legend
1 = Direct BLS/SCC correlation
Point Source and Area Source Processes (Manufacturing)
2 = SCC part of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process oecuring within BLS industry
S * SCO assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS
Justification
1st/2nd Level SCC Description
SCC
Code
BLS Description
Code
Auto Body Shredding
31401102
182
Automobile Parking, Repair & Services
Automotive Repair
31401201
182
Automobile Parking. Repair & Services
Transportation Equipment: NEC
31499999
84
Motor Vehicles & Car Bodies
Photocopying Equipment
100Photographic Equipment & Supplies
Photocopying Equipment
100 Photographic Equipment & Supplies
Photocopying Equipment
31501003 100 Photographic Equipment & Supplies
Hospitals, Private
Hospitals, Private
Hospitals. Private
194 Hospitals. Private
194 Hospitals, Private
Laboratory Activities
31503001
195
Health Services
Laboratory Activities
31503002
195
Health Services
Laboratory Activities
31503003
195
Health Services
Medical: General
31503101
194
Hospitals, Private
Medical: General
31503102
194
Hospitals. Private
Swimming Pool Chlorination
31504001
191
Amusement & Recreation Services
Air Conditioning/Refrigeration
31505001
185
Misc. Repair Shops
Air Conditioning/Refrigeration
31505002
185
Misc. Repair Shops
Air Conditioning/Refrigeration
i^athBiasaDaama^jeroaucgl
Leather & Leather Products: NEC
31505003| 185|Misc. Repair Shops
BBBBBBBn
320999971 144[Luggage. Handbags, & Leather Products
Leather & Leather Products: NEC
32099998 144[Luggage, Handbags. & Leather Products
Leather & Leather Products: NEC
Luggage, Handbags, & Leather Products
Misc. General Fabric Operations
Misc. General Fabric Operations
Misc. General Fabric Operations
Misc. General Fabric Operations
Misc. General Fabric Operations
Misc. General Fabric Operations
Misc. General Fabric Operations
Rubberized Fabric
Rubberized Fabric
Rubberized Fabric
Rubberized Fabric
Rubberized Fabric
Rubberized Fabric
Rubberized Fabric
33000101
33000102
33000103
33000104
33000105
33000198
33000199
33000201
33000202
33000203
33000211
33000212
33000213
33000214
114
114
114
114
114
114
114
115
115
115
115
115
115
115
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Knitting Mills
Knitting Mills
Knitting Mills
Knitting Mills
Knitting Mills
Knitting Mills
Knitting Mills
1
2
2
2
2
2
2
1
1
1
1
1
1
1
C-76
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCC Description
Rubberized Fabric
Rubberized Fabric
Rubberized Fabric
Carpet Operations
Fabric Finishing
Fabric Finishing
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
:ugitive Emissions
"ypsetting (Lead Remelting)
aiua^u^^uiyMi»LBtaiiu>iauu^3i^ai
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
SCC
33000297
33000298
33000299
33000399
33000499
33000599
33088801
33088802
33088803
33088804
33088805
•Hill
36000101
iUBfl
40100101
40100102
40100103
40100104
40100105
40100106
40100146
40100147
40100160
40100161
40100162
40100163
40100198
40100199
40100201
40100202
40100203
40100204
40100205
40100206
40100207
40100208
40100209
40100215
40100216
40100217
40100221
40100222
BUS
Code
117
117
117
116
114
118
117
117
117
117
Justification Cod? Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 * SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Misc. Textile Goods
Misc. Textile Goods
Misc. Textile Goods
Carpets & Rugs
Weaving, Finishing, Yam & Thread
Apparel
Misc. Textile Goods
Misc. Textile Goods
Misc. Textile Goods
Misc. Textile Goods
117|Misc. Textile Goods
BB^BH^ns^nnniiBi
130 1 Printing Trade Services
H^^^^^^^^I^^^^^^^^^H^^^H8I^^^HHl^^^^^^l^^M^^^B^^H^H
^•^••^^^•••^•^DHB^^BHH^^^Hio^H
169 Laundry, Cleaning, & Shoe Repair
169
169
169
169
169
169
169
169
169
169
169
169
169
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry. Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
1
1
1
1
1
1
4
4
4
4
=
1
1
1
1
1
1
1
1
1
1
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-77
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Cold Solvent Cleaning/Stripping
Knit Fabric Scouring
Knit Fabric Scouring
General Processes
General Processes
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
SCC
40100223
40100224
40100225
40100235
40100236
40100251
40100252
40100253
40100254
40100255
40100256
40100257
40100258
40100259
40100295
40100296
40100297
40100298
40100299
40100301
40100302
40100303
40100304
^40100305
40100306
40100307
40100308
40100309
40100310
40100335
40100336
40100398
40100399
40100401
40100499
40100501
40100550
40200101
40200110
40200201
40200210
40200301
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
114
114
137
137
135
135
135
135
135
Justification Code Legend
1 = Direct BLSrSCC correlation
2 - SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Misc. Chemcial Products
Misc. Chemcial Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
4
4
6
6
5
5
5
5
5
C-78
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
SCC
40200310
40200401
40200410
40200501
40200510
40200601
40200610
40200701
40200706
40200707
40200710
40200801
40200802
40200803
40200810
40200898
40200899
40200901
40200902
40200903
40200904
40200905
40200906
40200907
40200908
40200909
40200910
40200911
40200912
40200913
40200914
40200915
40200916
40200917
40200918
40200919
40200920
40200921
40200922
40200923
40200924
40200925
BLS
Code
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
135
Justification Cods Legend
1 = Direct BLS/SCC correlation
2 * SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an andllery process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-79
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Coating
Fabric Dyeing
Fabric Dyeing
Paper Coating
Paper Coating
Paper Coating
Paper Coating
Paper Coating
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
Large Appliances
.arge Appliances
SCC
40200926
40200927
40200928
40200929
40200930
40200931
40200998
40201101
40201103
40201104
40201105
40201111
40201112
40201113
40201114
40201115
40201116
40201122
40201197
40201198
40201199
40201201
40201210
40201301
40201303
40201304
40201305
40201399
40201401
40201402
40201403
40201404
40201405
40201406
40201431
40201432
40201433
40201434
40201435
40201436
40201437
40201438
BLS
Code
135
135
135
135
135
135
135
117
117
117
117
114
114
114
114
114
114
117
117
117
117
114
114
122
122
122
122
122
71
71
71
71
71
71
71
71
71
71
71
71
71
71
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
faint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Paint & Allied Products
Misc. Textile Goods
Misc. Textile Goods
Misc. Textile Goods
Misc. Textile Goods
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yarn & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Misc. Textile Goods
Misc. Textile Goods
Misc. Textile Goods
Misc. Textile Goods
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Converted Paper Prod., except Containers
Converted Paper Prod., except Containers
Converted Paper Prod., except Containers
Converted Paper Prod., except Containers
Converted Paper Prod., except Containers
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach. .
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Refrigeration & Service Industry Mach.
Justification
Code
5
5
5
5
5
5
5
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-80
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Large Appliances
Magnet Wire
Magnet Wire
Magnet Wire
Magnet Wire
Magnet Wire
Magnet Wire
Magnet Wire
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Autos & Light Trucks
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
sec
40201499
40201501
40201502
40201503
40201504
40201505
40201531
40201599
40201601
40201602
40201603
40201604
40201605
40201606
40201619
40201620
40201621
40201622
40201623
40201624
40201625
40201626
40201627
40201628
40201629
40201630
40201631
40201632
40201699
40201702
40201703
40201704
40201705
40201721
40201722
40201723
40201724
40201725
40201726
40201727
40201728
40201731
BLS
Code
71
60
60
60
60
60
60
60
84
84
84
84
84
84
84
84
84
84
84
84
84
84
84
84
84
84
84
84
84
49
49
49
49
49
49
49
49
49
49
49
49
49
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCO part of a larger BLS group
3 - BLS represents SCO end use
4 = SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Refrigeration & Service Industry Mach.
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Justification
Code
2
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
1
1
1
1
C-81
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Can Coating
Metal Coil Coating
Metal Coil Coating
Metal Coil Coating
Metal Coil Coating
Metal Coil Coating
Metal Coil Coating
Wood Furniture
Wood Furniture
Wood Furniture
Wood Furniture
Metal Furniture
Metal Furniture
Metal Furniture
Metal Furniture
Metal Furniture
Metal Furniture
Metal Furniture
Metal Furniture
Metal Furniture
Metal Furniture
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Flatwood Products
Plastic Parts
Plastic Parts
Plastic Parts
*lastic Parts
sec
40201732
40201733
40201734
40201735
40201736
40201799
40201801
40201803
40201804
40201805
40201806
40201899
40201901
40201903
40201904
40201999
40202001
40202002
40202003
40202004
40202005
40202031
40202032
40202033
40202034
40202099
40202101
40202103
40202104
40202105
40202106
40202107
40202108
40202109
40202131
40202132
40202133
40202199
40202201
40202202
40202203
40202204
BLS
Code
49
49
49
49
49
49
57
57
57
57
57
57
37
37
37
37
37
37
37
37
37
37
37
37
37
37
33
33
33
33
33
33
33
33
33
33
33
33
142
142
142
142
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process securing within BLS industry
5 * SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture.
Household Furniture
Household Furniture
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Veneer & Plywood
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Justification
Code
1
1
1
1
1
1
2
2
2
2
2
2
2
2
4
4
4
4
4
4
4
4
4
4
4
4
2
2
2
2
2
2
2
2
2
2
2
2
5
5
5
5
C-82
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
•
1st/2nd Level SCO Description
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Plastic Parts
Large Ships
Large Ships
Large Ships
Large Ships
Large Ships
Large Ships
Large Ships
Large Aircraft
Large Aircraft
Large Aircraft
Large Aircraft
Large Aircraft
Large Aircraft
Large Aircraft
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Misc. Metal Parts
Steel Drums
Steel Drums
Steel Drums
sec
40202205
40202206
40202207
40202208
40202209
40202210
40202211
40202212
40202213
40202214
40202215
40202299
40202301
40202302
40202303
40202304
40202305
40202306
40202399
40202401
40202402
40202403
40202404
40202405
40202406
40202499
40202501
40202502
40202503
40202504
40202505
40202531
40202532
40202533
40202534
40202535
40202536
40202537
40202599
40202601
40202602
40202603
BLS
Code
142
142
142
142
142
142
142
142
142
142
142
142
91
91
91
91
91
91
91
87
87
87
87
87
87
87
57
57
57
57
57
57
57
57
57
57
57
57
57
49
49
49
Justification Code Legend
1= Oinxt BLSGCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
1
4 = SCO represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
G = General growth indicator
BLS Description
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
1
1
1
1
1
1
1
5
5
5
5
5
5
5
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
C-83
-------
1
\rfr\w\3\jvvy-vi_r\ I<~\D^C r*-T\ nucivuvi^. rni .oirts
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Steel Drums
Steel Drums
Steel Drums
Steel Drums
Steel Drums
Mirror Backing
Mirror Backing
getrbleum)Erjwfuclgtbrag'B^^a
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
sec
40202604
40202605
40202606
40202607
40202699
40202701
40202710
BffffifBBBB^Hl
40300101
40300102
40300103
40300104
40300105
40300106
40300107
40300108
40300109
40300110
40300111
40300112
40300113
40300114
40300115
40300116
40300150
40300151
40300152
40300153
40300154
40300155
40300156
40300157
40300158
40300159
40300160
40300161
40300198
40300199
40300201
40300202
40300203
40300204
BLS
Code
49
49
49
49
49
40
-
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
jusancaoan i^oae Lsgena
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 - SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Glass & Glass Products
Glass & Glass Products
BBBBBBIMBPBBCTIBJHBB^BBBiBBHBiBHSBBBBBBBBBBBBBBBIHBBBIIBBI
^g^^jfl^^^l^^g^gg^fjj^^^^^jfjgj^^^ggjgjgf^jg^^^^^^^
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Justification
Code
1
1
1
1
1
4
4
BBB
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-84
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
SCC
40300205
40300207
40300208
40300209
40300210
40300211
40300212
40300213
40300214
40300215
40300216
40300299
40300302
40301001
40301002
40301003
40301004
40301005
40301006
40301007
40301008
40301009
40301010
40301011
40301012
40301013
40301014
40301015
40301016
40301017
40301018
40301019
40301020
40301021
40301022
40301023
40301024
40301025
40301026
40301027
40301028
40301029
BLS
Code
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
Justification Code Legend .
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 * BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 - SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-85
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCO Description
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil. & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil. & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
sec
40301065
40301067
40301068
40301069
40301075
40301076
40301077
40301078
40301079
40301097
40301098
40301099
40301101
40301102
40301103
40301104
40301105
40301106
40301107
40301108
40301109
40301110
40301111
40301112
40301113
40301114
40301115
40301116
40301117
40301118
40301119
40301120
40301125
40301126
40301127
40301128
40301129
40301130
40301131
40301132
40301133
40301134
BLS
Code
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
Justification Cocfe Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents en ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-86
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil. & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil. & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries. Oil, & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil. & Gas Fields
Refineries. Oil, & Gas Fields
Refineries, Oil, & Gas Fields
Refineries, Oil. & Gas Fields
Refineries, Oil, & Gas Fields
Refineries. Oil, & Gas Fields
:ugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions .
:ugitive Emissions
SCC
40301135
40301140
40301141
40301142
40301143
40301144
40301145
40301150
40301151
40301152
40301153
40301154
40301155
40301165
40301166
40301167
40301168
40301169
40301175
40301176
40301177
40301178
40301179
40301180
40301181
40301182
40301197
40301198
40301199
40301201
40301202
40301203
40301204
40301205
40301206
40301207
40301299
40388801
40388802
40388803
40388804
40388805
BLS
Code
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
136
138
138
138
138
138
138
138
138
138
138
138
138
Justification Code Legend
1 * Direct BLS/SCC correlation
2 ' SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
4
4
4
4
4
C-87
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
.
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
3ulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Julk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
sec
40400101
40400102
40400103
40400104
40400105
40400106
40400107
40400108
40400109
40400110
40400111
40400112
40400113
40400114
40400115
40400116
40400117
40400118
40400119
40400120
40400130
40400131
40400132
40400133
40400140
40400141
40400142
40400143
40400148
40400149
40400150
40400151
40400152
40400153
40400154
40400160
40400161
40400162
40400163
40400170
40400171
40400172
BLS
Code
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing '
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-88
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Rants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
SCC
40400173
404001 78
40400179
40400199
40400201
40400202
40400203
40400204
40400205
40400206
40400207
40400208
40400209
40400210
40400211
40400212
40400213
40400230
40400231
40400232
40400233
40400240
40400241
40400242
40400243
40400248
40400249
40400250
40400251
40400252
40400253
40400254
40400260
40400261
40400262
40400263
40400270
40400271
40400272
40400273
40400278
40400279
BLS
Code
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
o - GonefBi growtn inotcotor
BLS Description
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-89
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Bulk Terminals/Plants
Sulk Terminals/Plants
'rinting & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing .
Printing & Publishing
sec
40400301
40400302
40400303
40400304
40400305
40400306
40400307
40400401
40400402
40400403
40400404
40400405
40400406
40400407
40400408
40400409
40400410
40400411
40400412
40400413
40400414
40400497
BLS
Code
9
9
9
9
9
9
9
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
Justification Cods Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end USB
4 - SCO represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor Us manufacture
6 = General growth indicator
BLS Description
Oil & Gas Field Services
Oil & Gas Field Services
Oil & Gas Field Services
Oil & Gas Field Services
Oil & Gas Field Services
Oil & Gas Field Services
Oil & Gas Field Services
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Justification
Code
1
1
1
1
1
1
1
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
40400498 1 147 [Trucking and Warehousing | 4
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^B
4050010lM27|COTimercialPrir^^
40500199
40500201
40500202
40500203
40500211
40500212
40500215
40500301
40500302
40500303
40500304
40500305
40500306
40500307
40500311
40500312
40500314
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-90
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Printing & Publishing
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
Fugitive Emissions
SCC
40500315
40500316
40500317
40500318
40500319
40500401
40500411
40500412
40500413
40500414
40500415
40500416
40500417
40500418
40500421
40500422
40500431
40500432
40500433
40500501
40500502
40500503
40500506
40500507
40500510
40500511
40500512
40500513
40500514
40500598
40500599
40500601
40500701
40500801
40500802
40500812
40588801
40588802
40588803
40588804
40588805
BLS
Code
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
127
125
127
127
127
127
Justification Coda Legend
1 = Direct BLS/SCC correlation
2 * SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for ite manufacture
6 - General growth indicator
BLS Description
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Books
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Commercial Printing & Business Forms
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
C-91
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCO Description
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
sec
40600130
40600131
40600132
40600133
40600134
40600135
40600136
40600137
40600138
40600139
40600140
40600141
40600142
40600143
40600144
40600145
40600146
40600147
40600148
40600149
40600160
40600161
40600162
40600163
40600164
40600165
40600166
40600167
40600168
40600169
40600170
40600171
40600197
40600198
40600199
40600231
40600232
40600233
40600234
40600235
40600236
40600237
BLS
Code
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
148
148
148
148
148
148
148
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCCpartofa larger BLS group
3 - BLS represents SCO end use
4 - SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-92
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
Petroleum Products
sec
40600238
40600239
40600240
40600241
40600242
40600243
40600244
40600245
40600246
40600248
40600249
40600250
40600251
40600253
40600254
40600255
40600256
40600257
40600259
40600260
40600261
40600298
40600299
40600301
40600302
40600305
40600306
40600307
40600399
40600401
40600402
40600403
40600499
40600501
40600502
40600503
40600504
40688801
40688802
40688803
40688804
40688805
BLS
Code
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
159
159
159
159
159
159
159
159
159
159
150
150
150
150
138
138
138
138
138
Justification Code Legend
1 = Direct BLS&CC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process occthin BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
o - General growtn indicator
BLS Description
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Pipelines, except Natural Gas j
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
2
2
2
2
2
2
2
2
2
2
1
1
1
1
4
4
4
4
4
C-93
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd LevelSCC Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
mmmm
40700401
40700402
40700497
40700498
40700801
40700802
40700803
40700804
40700805
40700806
40700807
40700808
40700809
40700810
40700811
40700812
40700813
40700814
40700815
40700816
40700817
40700818
40700897
40700898
40701601
40701602
40701603
40701604
40701605
40701606
40701607
40701608
40701609
40701610
40701611
40701612
40701613
40701614
40701697
40701698
40702001
BLS
Code
mjjjjji
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BL&SCC correlation
2 - SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCO represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
S^j^^tffeBsSl3ffl^^flililHiii3^i^S
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
^SRffiHiVI
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-94
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
'
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
40702002
40702003
40702004
40702097
40702098
40702801
40702802
40703201
40703202
40703203
40703204
40703205
40703206
40703207
40703208
40703297
40703298
40703601
40703602
40703603
40703604
40703605
40703606
40703607
40703608
40703609
40703610
40703611
40703612
40703613
40703614
40703615
40703616
40703617
40703618
40703619
40703620
40703621
40703622
40703623
40703624
40703625
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 * Dinxt BL&SCC correlation
2 = SCO part of a to/per BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for us manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
• j 4 • i i^i_ * i^
industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-95
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
SCC
40703626
40703697
40703698
40704001
40704002
40704003
40704004
40704005
40704006
40704007
40704008
40704009
40704010
40704097
40704098
40704099
40704401
40704402
40704403
40704404
40704405
40704406
40704407
40704408
40704409
40704410
40704411
^40704412
40704413
40704414
40704415
40704416
40704417
40704418
40704419
40704420
40704421
40704422
40704423
40704424
40704497
40704498
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct SLS/SCC correlation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-96
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
40704801
40704802
40704897
40704898
40705201
40705202
40705203
40705204
40705205
40705206
40705207
40705208
40705209
40705210
40705211
40705212
40705213
40705214
40705215
40705216
40705217
40705218
40705297
40705298
40705601
40705602
40705603
40705604
40705605
40705606
40705607
40705608
40705609
40705610
40705697
40705698
40706001
40706002
40706003
40706004
40706005
40706006
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation
2 * SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 - SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-97
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
40706007
40706008
40706009
40706010
40706011
40706012
40706013
40706014
40706015
40706016
40706017
40706018
40706019
40706020
40706021
40706022
40706023
40706024
40706027
40706028
40706029
40706030
40706097
40706098
40706401
40706402
40706403
40706404
40706497
40706498
40706801
40706802
40706803
40706804
40706806
40706807
40706808
40706813
40706814
40706897
40706898
40707601
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS&CC correlation
2 = SCC part of e larger BLS group
3 = BLS represents SCC end use
4 = SCC represents en ancillary process securing within BLS industry
S = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-98
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
40707602
40707697
40707698
40708001
40708002
40708097
40708098
40708401
40708402
40708403
40708404
40708497
40708498
40714697
40714698
40715401
40715402
40715801
40715802
40715809
40715810
40715811
40715812
40715817
40715818
40717201
40717202
40717203
40717204
40717205
40717206
40717207
40717208
40717209
40717210
40717211
40717212
40717297
40717298
40717601
40717602
40717603
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC and use
4 = SCC represents an ancillary process occuring within BLS industry
5 ~ SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
industrial chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-99
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
40717604
40717605
40717606
40717611
40717612
40717614
40717697
40717698
40718001
40718002
40718003
40718004
40718005
40718006
40718007
40718008
40718009
40718010
40718097
40718098
40718801
40718802
40719207
40719208
40719615
40719616
40719619
40719620
40719621
40719622
40719697
40719698
40720401
40720402
40720405
40720406
40720801
40720802
40720803
40720804
40720897
40720898
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
13t
131
131
131
131
131
Justification Code Legend
1 - Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process occuring within BLS industry
5 - SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-100
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
SCC
40721205
40721206
40721207
40721208
40721217
40721218
40721603
40721604
40722001
40722002
40722003
40722004
40722005
40722006
40722007
40722008
40722009
40722010
40722011
40722012
40722021
40722022
40722029
40722030
40722097
40722098
40722801
40722802
40722803
40722804
40722805
40722806
40722897
40722898
40723201
40723202
40723297
40723298
40729697
40729698
40781201
40781202
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = Genera/ growth /rtdfcato/2t3bOs9.50v1 P
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industnal Chemicals
Industrial Chemicals
Industrial Chemicals.
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-101
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
40781601
40781602
40781603
40781604
40781605
40781606
40781607
40781699
40782001
40782002
40782003
40782004
40782005
40782006
40782007
40782008
40782009
40782010
40782011
40782099
40782401
40782499
40783201
40783202
40783203
40783299
40784801
40784899
40786001
40786002
40786003
40786004
40786005
40786099
40786401
40786499
40787201
40787299
40799997
40799998
| Organic Chemical Transport | 40899995
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 = Direct BLS/SCC correlation '
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 ~ SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 - General growth Indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
IIIUIIBUIJUUIIIII^^
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
MMMMHj
C-102
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Organic Chemical Transport
Organic Chemical Transport
^^^S^I^^^^M^HSSSttSA
Industrial/Comm!.
Industrial/Comml.
Industrial/Comml.
Industrial/Comml.
Industrial/Comml.
Industrial/Comml.
Industrial/Comml.
Industrial/Comml.
Industrial/Comml.
Industrial/Comml.
Industrial/Comml.
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
SCC
40899997
40899999
m^m
42500101
42500102
42500201
42500202
42500301
42500302
42505001
42505002
42505101
42505102
42505202
49000101
BLS
Code
131
131
MBB
321
321
321
321
321
321
321
321
321
321
321
131
49000102 131
49000103
49000104
49000105
49000199
49000201
49000202
49000203
49000204
49000205
49000206
49000207
49000208
49000209
49000299
49000301
49000302
49000303
49000304
49000399
49000401
49000402
49000403
49000404
49000405
49000499
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 - Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 - SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
^^^^^BH^HOBHHttB^H^^flH^^B^^HfiflffiBBI^H^^H
M9^^^^^^^^EKHHNMlHHlHMN99i^^^^B^^^HIiHM^Bl^^Hl^^^^i
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
HHH^^^^^HHHH^^^^H^HHB^^H^H
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
mmm
6
6
6
6
6
6
6
6
6
6
6
B^B
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-103
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
Miscellaneous
JffifflmHM|IBB^ifliiMiBBMMMBB^HWnal^K^BBBBHBM
M/»Hiiffl55™I^^^^^»f«a^8la!ai
JSflfflMMB^IiaB8^iSi|ja3^j|y^pap|^
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2 -Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
sec
49000501
49000502
49000503
49000504
49000599
49000601
49090011
49090012
49090013
49090021
49090022
49090023
49099998
49099999
W&Ta|E|b
2260000000
2260001000
2260001010
2260001020
2260001030
2260001040
2260001050
2260001060
2260002000
2260002003
2260002006
2260002009
2260002012
2260002015
2260002018
2260002021
2260002024
2260002027
2260002030
2260002033
2260002036
2260002039
2260002042
2260002045
2260002048
2260002051
BLS
Code
131
131
131
131
131
185
131
131
131
131
131
131
138
138
H
399
399
399
399
399
399
399
399
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
Justification Code Legend
1 = Direct BL&SCC correlation
2 * SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCO represents en ancillary process securing within BLS industry
5 = SCO assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Misc. Repair Shops
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Petroleum Refining
Petroleum Refining
^^^^I^B^^^^B^^^^^^BIRB^^HBlHK^^HH^Inn^BI^^^^Hl^flHHRB
iHffiniini^^^^SP
Population
Population
Population
Population
Population
Population
Population
Population
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Justification
Code
5
5
5
5
5
4
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
C-104
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
•
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
SCC
2260002054
2260002057
2260002060
2260002063
2260002066
2260002069
2260002072
2260002075
2260002078
2260002081
2260003000
2260003010
2260003020
2260003030
2260003040
2260003050
2260004000
2260004010
2260004015
2260004020
2260004025
2260004030
2260004035
2260004040
2260004045
2260004050
2260004055
2260004060
2260004065
2260004070
2260004075
2260005000
2260005010
2260005015
2260005020
2260005025
2260005030
2260005035
2260005040
2260005045
2260005050
2260005055
BLS
Code
304
304
304
304
304
304
304
304
304
304
321
321
321
321
321
321
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
314
399
399
399
399
399
399
Justification Code Legmd
1 = Direct BLS/5CC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Population
Population
Population
Population
Population
Population
Population
Poptdaton
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Farm
Population
Population
Population
Population
Population
Population
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
C-105
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 2-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
sec
2260006000
2260006005
2260006010
2260006015
2260006020
2260006025
2260006030
2260007000
2260007005
2260007010
2260007015
2260007020
2260008000
2260008005
2260008010
2265000000
2265001000
2265001010
2265001020
2265001030
2265001040
2265001050
2265001060
2265002000
2265002003
2265002006
2265002009
2265002012
2265002015
2265002018
2265002021
2265002024
2265002027
2265002030
2265002033
2265002036
2265002039
2265002042
2265002045
2265002048
2265002051
2265002054
BLS
Code
323
323
323
323
323
323
323
30
30
30
30
30
149
149
149
399
399
399
399
399
399
399
399
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Logging
Logging
Logging
Logging
Logging
Air Transportation
Air Transportation
Air Transportation
Population
Population
Population
Population
Population
Population
Population
Population
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Justification
Code
3
3
3
3
3
3
3
1
1
1
1
1
4
4
4
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
C-106
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines j
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
sec
2265002057
2265002060
2265002063
2265002066
2265002069
2265002072
2265002075
2265002078
2265002081
2265003000
2265003010
2265003020
2265003030
2265003040
2265003050
2265004000
2265004010
2265004015
2265004020
2265004025
2265004030
2265004035
2265004040
2265004045
2265004050
2265004055
2265004060
2265004065
2265004070
2265004075
2265005000
2265005010
2265005015
2265005020
2265005025
2265005030
2265005035
2265005040
2265005045
2265005050
2265005055
2265006000
BLS
Code
304
304
304
304
304
304
304
304
304
321
321
321
321
321
321
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
314
314
314
314
314
314
314
314
314
314
314
323
Justification Code Legend
1 - Direct BLS/SCC correlation
2 = SCO pert of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents en ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Population
Population
Population
Population
Population
Population
Population
Population
population
Population
Population
Population
population
Population
Population
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Retail, Wholesale. & Services
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
3
C-107
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Gasoline: 4-Stroke Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
sec
2265006005
2265006010
2265006015
2265006020
2265006025
2265006030
2265007000
2265007005
2265007010
2265007015
2265007020
2265008000
2265008005
2265008010
2270000000
2270001000
2270001010
2270001020
2270001030
2270001040
2270001050
2270001060
2270002000
2270002003
2270002006
2270002009
2270002012
2270002015
2270002018
2270002021
2270002024
2270002027
2270002030
2270002033
2270002036
2270002039
2270002042
2270002045
2270002048
2270002051
2270002054
2270002057
BLS
Code
323
323
323
323
323
323
30
30
30
30
30
149
149
149
399
399
399
399
399
399
399
399
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCO represents an ancillary process occun'ng within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Logging
Logging
Logging
Logging
Logging
Air Transportation
Air Transportation
Air Transportation
Population
Population
Population
Population
Population
Population
Population
Population
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Justification
Code
3
3
3
3
3
3
1
1
1
1
1
4
4
4
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
C-108
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1 st/2nd Level SCO Description
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
sec
2270002060
2270002063
2270002066
2270002069
2270002072
2270002075
2270002078
2270002081
2270003000
2270003010
2270003020
2270003030
2270003040
2270003050
2270004000
2270004010
2270004015
2270004020
2270004025
2270004030
2270004035
2270004040
2270004045
2270004050
2270004055
2270004060
2270004065
2270004070
2270004075
2270005000
2270005010
2270005015
2270005020
2270005025
2270005030
2270005035
2270005040
2270005045
2270005050
2270005055
2270006000
2270006005
BLS
Code
304
304
304
304
304
304
304
304
321
321
321
321
321
321
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
314
314
314
314
314
314
314
314
314
314
314
323
323
Justification Code Legend
1 = Direct BLS/SCC correlation
2 « SCC part of a larger BLS group
3 = BLS represents SCC end use
4 - SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible lor its manufacture
6 = General growth indicator
BLS Description
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Farm
Retail, Wholesale, & Services
Retail, Wholesale. & Services
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
3
3
C-109
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Diesel Engines
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
Marine Vessels: Commercial
sec
2270006010
2270006015
2270006020
2270006025
2270006030
2270007000
2270007005
2270007010
2270007015
2270007020
2270008000
2270008005
2270008010
2275000000
2275001000
2275020000
2275050000
2275060000
2275070000
2275085000
2275900000
2275900101
2275900102
2275900103
2275900201
2275900202
2280001000
2280001010
2280001020
2280001030
2280002000
2280002010
2280002020
2280002030
2280003000
228000301 &
2280003020
2280003030
2280004000
2280004010
2280004020
2280004030
BLS
Code
323
323
323
323
323
30
30
30
30
30
149
149
149
149
149
149
149
149
149
149
149
149
149
149
149
149
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents en ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Retail, Wholesale, & Services
Logging
Logging
Logging
Logging
Logging
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Air Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Justification
Code
3
3
3
3
3
1
1
1
1
1
4
4
4
1
1
1
1
1
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-110
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Recreational
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels: Military
Marine Vessels:. Military
Marine Vessels: Military
Railroads
Railroads
sec
2282005000
2282005005
2282005010
2282005015
2282005020
2282005025
2282010000
2282010005
2282010010
2282010015
2282010020
2282010025
2282020000
2282020005
2282020010
2282020015
2282020020
2282020025
2283000000
2283001000
2283001010
2283001020
2283002000
2283002010
2283002020
2283003000
2283003010
2283003020
2283004000
2283004010
2283004020
2285002000
2285002005
BLS
Code
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
325
325
325
325
325
325
325
325
325
325
325
325
325
145
93
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 ~ BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Total Government
Total Government
Total Government
Total Government
Total Government
Total Government
Total Government
Total Government
Total Government
Total Government
Total Government
Total Government
Total Government
Railroad Transportation
Railroad Equipment
Railroads 2285002010) 93 1 Railroad Equipment
vKj^^^n^^^^^aSi^iiS^SSiil^^^^^^^^^^^^^^^^^^^^^f^^^^^^^^Kl^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ChemicalMfg. ^^^^^^^^TSoiOOOOOOMSllndustSS
Chemical Mfg.
Chemical Mfg.
Food & Kindred Products
Food & Kindred Products
Food & Kindred Products
Food & Kindred Products
2301010000
2301010010
2302000000
2302002000
2302010000
2302040000
131
131
112
160
104
107
Industrial Chemicals
Industrial Chemicals
Misc. Food & Kindred Products
Eating & Drinking Places
Meat Products
Grain Mill Products. & Fats & Oils
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
1
1
1
••
1
5
1
4
1
1
C-111
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Food & Kindred Products
Food & Kindred Products
Food & Kindred Products
Food & Kindred Products
Food & Kindred Products
Food & Kindred Products
Primary Metals
Primary Metals
Secondary Metals
Secondary Metals
Mineral Processes
Mineral Processes
Mineral Processes
Petroleum Refining
Petroleum Refining
Wood Products
Wood Products
Wood Products
Wood Products
Wood Products
Rubber/Plastics
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Fabricated Metals
Oil & Gas Production
Oil & Gas Production
Oil & Gas Production
Oil & Gas Production
Construction
Construction
Construction
Construction
Construction
sec
2302050000
2302070000
2302070001
2302070005
2302070010
2302080000
2303000000
2303020000
2304000000
2304050000
2305000000
2305070000
2305080000
2306000000
2306010000
2307000000
2307010000
2307020000
2307030000
2307060000
2308000000
2309000000
2309100000
2309100010
2309100030
2309100050
2309100080
2309100110
2309100140
2309100170
2309100200
2309100230
2309100260
2310000000
2310010000
2310020000
2310030000
2311000000
2311000010
2311000020
2311000030
2311000040
BLS
Code
108
110
110
110
110
112
46
44
46
48
42
41
42
138
139
31
30
31
32
34
141
52
57
57
57
57
57
57
57
57
57
57
57
8
8
8
8
304
304
304
304
304
Justification Code Legend
1 * Direct BLS/SCC correlation
.S industry
5 = SCC assigned to BLS industry responsible for its mi
6 = General growth indicator
BLS Description
Bakery Products
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Alcoholic Beverages
Misc. Food & Kindred Products
Misc. Primary & Secondary Metals
Iron & Steel Foundries
Misc. Primary & Secondary Metals
Nonferrous Foundries
Stone, Clay, & Misc. Mineral Prod.
Cement, Concrete, Gypsum, etc.
Stone, Clay, & Misc. Mineral Prod.
Petroleum Refining
Misc. Petroleum & Coal Products
Sawmills & Planning Mills
Logging
Sawmills & Planning Mills
Milrworic & Structured Wood Members
Wood Containers & Misc. Wood Prod.
Rubber Products & Plastic Hose/Footwear
Fabricated Structured Metal Products
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Crude petroleum, natural gas
Construction
Construction
Construction
Construction
Construction
Justification
Code
1
1
1
1
1
1
4
1
1
1
1
1
1
1
1
1
1
1
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
6
6
6
6
6
nufacture
C-112
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Machinery
Machinery
Mining & Quarrying
Mining & Quarrying
sec
2311000050
2311000060
2311000070
2311000080
2311000100
2311010000
2311010010
2311010020
2311010030
2311010040
2311010050
2311010060
2311010070
2311010080
2311010100
2311020000
2311020010
2311020020
2311020030
2311020040
2311020050
2311020060
2311020070
2311020080
2311020100
2311030000
2311030010
2311030020
2311030030
2311030040
2311030050
2311030060
2311030070
2311030080
2311030100
2311040000
2311040080
2311040100
2312000000
2312050000
2325000000
2325010000
BLS
Code
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
304
68
66
10
10
Justification Code Legend .
1 = Direct BLSrSCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuhng within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
Construction
General Industrial Machinery
Metal Working Machinery
Norunetallic minerals, except fuels
Nonmetallic minerals, except fuels
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
2
2
1
1
C-113
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCC Description
Mining & Quarrying
Mining & Quarrying
Mining & Quarrying
Mining & Quarrying
^^§fl^.|^^^a*T^feji|gSPBffH^^
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating .
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
SCC
2325020000
2325030000
2325040000
2325050000
BLS
Code
10
10
10
10
KHiliHIl'I'IuRg]
2401001030
2401001055
2401001060
2401001065
2401001070
2401001125
2401001130
2401001135
2401001170
2401001200
2401001210
2401001215
2401001235
2401001250
2401001275
2401001285
2401001370
2401001999
2401005000
2401005030
2401005055
2401005060
2401005065
2401005070
2401005125
2401005130
2401005135
2401005170
2401005200
2401005210
2401005215
2401005235
2401005250
2401005275
2401005285
2401005370
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
162
182
182
182
182
182
182
182
182
182
182
182
182
182
182
182
182
182
Justification Code Legend
1 - Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process securing within BLS industry
5 -SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Nonmetallic minerals, except fuels
Justification
Code
1
1
1
1
^:^>^;;Cv;'^€::;j¥^-^
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking. Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
4
4
4
4
4
4
4
4
4
4
4
4 •
4
4
4
4
4
4
C-114
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
SCC
2401005999
2401008000
2401008030
2401008055
2401008060
2401008065
2401008070
2401008125
2401008130
2401008135
2401008170
2401008200
2401008210
2401008215
2401008235
2401008250
2401008275
2401008285
2401008370
2401008999
2401010000
2401010030
2401010055
2401010060
2401010065
2401010070
2401010125
2401010130
2401010135
2401010170
2401010200
2401010210
2401010215
2401010235
2401010250
2401010275
2401010285
2401010370
2401010999
2401015000
2401015030
2401015055
BLS
Code
182
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
114
114
114
114
114
114
114
114
114
114
114
114
114
114
114
114
114
114
114
34
34
34
Justification Code Legend
1 - Direct BL&SCC correction
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS Industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Automobile Parking, Repair & Services
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing. Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing. Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Weaving, Finishing, Yam & Thread
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Justification
Code
4
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-115
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
sec
2401015060
2401015065
2401015070
2401015125
2401015130
2401015135
2401015170
2401015200
2401015210
2401015215
2401015235
2401015250
2401015275
2401015285
2401015370
2401015999
2401020000
2401020030
2401020055
2401020060
2401020065
2401020070
2401020125
2401020130
2401020135
2401020170
2401020200
2401020210
2401020215
2401020235
2401020250
2401020275
2401020285
2401020370
2401020999
2401025000
2401025030
2401025055
2401025060
2401025065
2401025070
2401025125
BLS
Code
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
39
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents en ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Wood Containers & Misc. Wood Prod.
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-116
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
sec
2401025130
2401025135
2401025170
2401025200
2401025210
2401025215
2401025235
2401025250
2401025275
2401025285
2401025370
2401025999
2401030000
2401030030
2401030055
2401030060
2401030065
2401030070
2401030125
2401030130
2401030135
2401030170
2401030200
2401030210
2401030215
2401030235
2401030250
2401030275
2401030285
2401030370
2401030999
2401035000
2401035030
2401035055
2401035060
2401035065
2401035070
2401035125
2401035130
2401035135
2401035170
2401035200
BLS
Code
39
39
39
39
39
39
39
39
39
39
39
39
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
142
142
142
142
142
142
142
142
142
142
142
Justification Co* Legend
1 = Dimet BLS/SCC correlation
2 "SCO part of a larger BLS group
3 = BLS represents SCC ana use
4 - SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Pulp Paper & Paperboard Mills
Misc. Plastic Products _J
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-117
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
sec
2401035210
2401035215
2401035235
2401035250
2401035275
2401035285
2401035370
2401035999
2401040000
2401040030
2401040055
2401040060
2401040065
2401040070
2401040125
2401040130
2401040135
2401040170
2401040200
2401040210
2401040215
2401040235
2401040250
2401040275
2401040285
2401040370
2401040999
2401045000
2401045030
2401045055
2401045060
2401045065
2401045070
2401045125
2401045130
2401045135
2401045170
2401045200
2401045210
2401045215
2401045235
2401045250
BLS
Code
142
142
142
142
142
142
142
142
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
49
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
Justification Code Legend
1 = Dim* B/.S/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process securing within BLS industry
5 = SCO assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Metal Cans & Shipping Containers
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-118
-------
CROSSWALK TABLE FDR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
sec
2401045275
2401045285
2401045370
2401045999
2401050000
2401050030
2401050055
2401050060
2401050065
2401050070
2401050125
2401050130
2401050135
2401050170
2401050200
2401050210
2401050215
2401050235
2401050250
2401050275
2401050285
2401050370
2401050999
2401055000
2401055030
2401055055
2401055060
2401055065
2401055070
2401055125
2401055130
2401055135
2401055170
2401055200
2401055210
2401055215
2401055235
2401055250
2401055275
2401055285
2401055370
2401055999
BLS
Code
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
60
68
68
68
68
68
68
68
68
68
68
68
68
68
68
68
68
68
68
68
68
Justification Code Legend
1 = Direct BLSfSCC correlation
Z = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCO represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
Misc. Fabricated Metal Products
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
General Industrial Machinery
[General Industrial Machinery
General Industrial Machinery
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
2
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-119
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCO Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating ,
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
sec
2401060000
2401060030
2401060055
2401060060
2401060065
2401060070
2401060125
2401060130
2401060135
2401060170
2401060200
2401060210
2401060215
2401060235
2401060250
2401060275
2401060285
2401060370
2401060999
2401065000
2401065030
2401065055
2401065060
2401065065
2401065070
2401065125
2401065130
2401065135
2401065170
[2401065200
2401065210
2401065215
2401065235
2401065250
2401065275
2401065285
2401065370
2401065999
2401070000
2401070030
2401070055
2401070060
BLS
Code
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
84
84
84
84
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCCpartofa larger BLS group
3 = BLS represents SCO end use
4 = SCO represents an ancillary process occuring within BLS Industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Misc. Electronic Components
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
L 4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-120
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
SCC
2401070065
2401070070
2401070125
2401070130
2401070135
2401070170
2401070200
2401070210
2401070215
2401070235
2401070250
2401070275
2401070285
2401670370
2401070999
2401075000
2401075030
2401075055
2401075060
2401075065
2401075070
2401075125
2401075130
2401075135
2401075170
2401075200
2401075210
2401075215
2401075235
2401075250
2401075275
2401075285
2401075370
2401075999
2401080000
2401080030
2401080055
2401080060
2401080065
2401080070
2401080125
2401080130
BLS
Code
84
84
84
84
84
84
84
84
84
84
84
84
84
84
84
87
87
87
87
87
87
87
87
87
87
87
87
87
87
87
87
87
87
87
91
91
91
91
91
91
91
91
Justification Code Legend
1 = Direct SLS/SCC correlation
2 * SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Aircraft
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-121
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
sec
2401080135
2401080170
2401080200
2401080210
2401080215
2401080235
2401080250
2401080275
2401080285
2401080370
2401080999
2401085000
2401085030
2401085055
2401085060
2401085065
2401085070
2401085125
2401085130
2401085135
2401085170
2401085200
2401085210
2401085215
2401085235
2401085250
2401085275
2401085285
2401085370
2401085999
2401090000
2401090030
2401090055
2401090060
2401090065
2401090070
2401090125
2401090130
2401090135
2401090170
2401090200
2401090210
BLS
Code
91
91
91
91
91
91
91
91
91
91
91
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
302
302
302
302
302
302
302
302
302
302
302
302
Justification Code Legend '
1 = Direct BLS/SCC confutation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Ship Building & Repairing
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Railroad Equipment
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
6
6
6
6
6
6
6
6
6
6
6
6
C-122
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
sec
2401090215
2401090235
2401090250
2401090275
2401090285
2401090370
2401090999
2401100000
2401100030
2401100055
2401100060
2401100065
2401100070
2401100125
2401100130
2401100135
2401100170
2401100200
2401100210
2401100215
2401100235
2401100250
2401100275
2401100285
2401100370
2401100999
2401200000
2401200030
2401200055
2401200060
2401200065
2401200070
2401200125
2401200130
2401200135
2401200170
2401200200
2401200210
2401200215
2401200235
2401200250
2401200275
BLS
Code
302
302
302
302
302
302
302
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
Justification Code Legend
1 = Direct BL&SCC correlation
2 - SCC part of a larger BLS group
3 = BLS represents SCC end use
4 « SCC represents an ancillary process occurring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Nondurable Manufacturing
Durables Manufacturing
Durables Manufacturing •
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-123
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Surface Coating
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
SCC
2401200285
2401200370
2401200999
2401990000
2401990030
2401990055
2401990060
2401990065
2401990070
2401990125
2401990130
2401990135
2401990170
2401990200
2401990210
2401990215
2401990235
2401990250
2401990275
2401990285
2401990370
2401990999
2415000000
2415000300
2415000350
2415000370
2415000385
2415000999
2415005000
2415005300
2415005350
2415005370
2415005385
2415005999
2415010000
2415010300
2415010350
2415010370
2415010385
2415010999
2415015000
2415015300
BLS
Code
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
39
39
39
39
39
39
44
44
44
44
44
44
46
46
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 * SCC represents an ancillary process occuring within BLS industry
5 - SCC assigned to BLS industry responsible for its manufacture
6 * General growth indicator
BLS Description
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing j
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
6
6
6
6
6
6
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-124
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
sec
2415015350
2415015370
2415015385
2415015999
2415020000
2415020300
2415020350
2415020370
2415020385
2415020999
2415025000
2415025300
2415025350
2415025370
2415025385
2415025999
2415030000
2415030300
2415030350
2415030370
2415030385
2415030999
2415035000
2415035300
2415035350
2415035370
2415035385
2415035999
2415040000
2415040300
2415040350
2415040370
2415040385
2415040999
2415045000
2415045300
2415045350
2415045370
2415045385
2415045999
2415050000
2415050300
BLS
Code
46
46
46
46
57
57
57
57
57
57
67
67
67
67
67
67
75
75
75
75
75
75
84
84
84
84
84
84
96
96
96
96
96
96
103
103
103
103
103
103
146
146
Justification Code Legend
1 = Direct O.S/SCC correlation
2 - SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Pmriiiets
Mam ifaf*fa ifoH Pfrv1iif*ta
Manufactured Products
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-125
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing _j
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
SCC
2415050350
2415050370
2415050385
2415050999
2415055000
2415055300
2415055350
2415055370
2415055385
2415055999
2415060000
2415060300
2415060350
2415060370
2415060385
2415060999
2415065000
2415065300
2415065350
2415065370
2415065385
2415065999
2415100000
2415100300
2415100350
2415100370
2415100385
2415100999
2415105000
2415105300
2415105350
2415105370
2415105385
2415105999
2415110000
2415110300
2415110350
2415110370
2415110385
2415110999
2415115000
2415115300
BLS
Code
146
146
146
146
159
159
159
159
159
159
183
183
183
183
183
183
182
182
182
182
182
182
301
301
301
301
301
301
37
37
37
37
37
37
43
43
43
43
43
43
46
46
Justification Cods Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 * SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
6
6
6
6
6
6
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-126
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
sec
2415115350
2415115370
2415115385
2415115999
2415120000
2415120300
2415120350
2415120370
2415120385
2415120999
2415125000
2415125300
2415125350
2415125370
2415125385
2415125999
2415130000
2415130300
2415130350
2415130370
2415130385
2415130999
2415135000
2415135300
2415135350
2415135370
2415135385
2415135999
2415140000
2415140300
2415140350
2415140370
2415140385
2415140999
2415145000
2415145300
2415145350
2415145370
2415145385
2415145999
2415150000
2415150300
BLS
Code
46
46
46
46
52
52
52
52
52
52
67
67
67
67
67
67
75
75
75
75
75
75
84
84
84
84
84
84
96
96
96
96
96
96
103
103
103
103
103
103
146
146
Justification Code Legend .
1 - Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 ~ BLS represents SCO end use
4 = SCO represents an ancillary process occuring within BLS Industry
5 ~ SCC assigned to BLS industry responsible tor its manufacture
6 = Gene/a/ growth indicator
BLS Description
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
miarti ifaftti ifftri Pmriii^ta
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Products
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
• 4
4
4
4
4
4
4
4
4
4
4
C-127
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
sec
2415150350
2415150370
2415150385
2415150999
2415155000
2415155300
2415155350
2415155370
2415155385
2415155999
2415160000
2415160300
2415160350
2415160370
2415160385
2415160999
2415165000
2415165300
2415165350
2415165370
2415165385
2415165999
2415200000
2415200300
2415200350
2415200370
2415200385
2415200999
2415205000
2415205300
2415205350
2415205370
2415205385
2415205999
2415210000
2415210300
2415210350
2415210370
2415210385
2415210999
2415215000
2415215300
BLS
Code
146
146
146
146
159
159
159
159
159
159
182
182
182
182
182
182
183
183
183
183
183
183
301
301
301
301
301
301
39
39
39
39
39
39
44
44
44
44
44
44
46
46
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 - BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 =• SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Office & Misc. Furniture/Fixtures
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Iron & Steel Foundries
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-128
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
SCC
2415215350
2415215370
2415215385
2415215999
2415220000
2415220300
2415220350
2415220370
2415220385
2415220999
2415225000
2415225300
2415225350
2415225370
2415225385
2415225999
2415230000
2415230300
2415230350
2415230370
2415230385
2415230999
2415235000
2415235300
2415235350
2415235370
2415235385
2415235999
2415240000
2415240300
2415240350
2415240370
2415240385
2415240999
2415245000
2415245300
2415245350
2415245370
2415245385
2415245999
2415250000
2415250300
BLS
Code
46
46
46
46
57
57
57
57
57
57
67
67
67
67
67
67
75
75
75
75
75
75
84
84
84
84
84
84
96
96
96
96
96
96
103
103
103
103
103
103
146
146
Justification Code Legend1
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Metal Services
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Products
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-129
-------
1
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
SCC
2415250350
2415250370
2415250385
2415250999
2415255000
2415255300
2415255350
2415255370
2415255385
2415255999
2415260000
2415260300
2415260350
2415260370
2415260385
2415260999
2415265000
2415265300
2415265350
2415265370
2415265385
2415265999
2415300000
2415300300
2415300350
2415300370
2415300385
2415300999
2415305000
2415305300
2415305350
2415305370
2415305385
2415305999
2415310000
2415310300
2415310350
2415310370
2415310385
2415310999
2415315000
2415315300
BLS
Code
146
146
146
146
159
159
159
159
159
159
182
182
182
182
182
182
183
183
183
183
183
183
301
301
301
301
301
301
37
37
37
37
37
37
43
43
43
43
43
43
46
46
Justification Code Legend
1 * Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Household Furniture
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Blast Furnaces & Basic Steel Prod.
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-130
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
sec
2415315350
2415315370
2415315385
2415315999
2415320000
2415320300
2415320350
2415320370
2415320385
2415320999
2415325000
2415325300
2415325350
2415325370
2415325385
2415325999
2415330000
2415330300
2415330350
2415330370
2415330385
2415330999
2415335000
2415335300
2415335350
2415335370
2415335385
2415335999
2415340000
2415340300
2415340350
2415340370
2415340385
2415340999
2415345000
2415345300
2415345350
2415345370
2415345385
2415345999
2415350000
2415350300
BLS
Code
46
46
46
46
52
52
52
52
52
52
67
67
67
67
67
67
75
75
75
75
75
75
84
84
84
84
84
84
96
96
96
96
96
96
103
103
103
103
103
103
146
146
Justification Code Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Misc. Primary & Secondary Metals
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Fabricated Structured Metal Products
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Special Industry Machinery
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Household Appliances
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Motor Vehicles & Car Bodies
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Measuring & Controlling Devices
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Products
Manufactured Products
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4 •
4
4
4
4
4
4
4
4
4
4
4
C-131
-------
1
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Degreasing
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Dry Cleaning
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
SCC
2415350350
2415350370
2415350385
2415350999
2415355000
2415355300
2415355350
2415355370
2415355385
2415355999
2415360000
2415360300
2415360350
2415360370
2415360385
2415360999
2415365000
2415365300
2415365350
2415365370
2415365385
2415365999
2420000000
2420000055
2420000370
2420000999
2420010000
2420010055
2420010370
2420010999
2420020000
2420020055
2420020370
2420020999
2425000000
2425000055
2425000370
2425000999
2425010000
2425010055
2425010370
2425010999
BLS
Code
146
146
146
146
159
159
159
159
159
159
182
182
182
182
182
182
183
183
183
183
183
183
169
169
169
169
169
169
169
169
169
169
169
169
179
179
179
179
179
179
179
179
Justification Code Legend
1 = Direct BLSGCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Local & Interurban Passenger Transit
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Electrical Repair Shops
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry. Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Laundry, Cleaning, & Shoe Repair
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art. Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-132
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Graphic Arts
Rubber/Plastics
Rubber/Plastics
Rubber/Plastics
Rubber/Plastics
Rubber/Plastics
Rubber/Plastics
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Miscellaneous Industrial
Misc. Non-Industrial: All Classes
SCC
2425020000
2425020055
2425020370
2425020999
2425030000
2425030055
2425030370
2425030999
2425040000
2425040055
2425040370
2425040999
2430000000
2430000170
2430000340
2430000350
2430000370
2430000999
2440000000
2440000060
2440000065
2440000070
2440000100
2440000125
2440000130
2440000135
2440000165
2440000200
2440000210
2440000215
2440000235
2440000250
2440000260
2440000275
2440000285
2440000300
2440000330
2440000350
2440000370
2440000999
2440020000
2460000000
BLS
Code
179
179
179
179
179
179
179
179
179
179
179
179
142
142
142
142
142
142
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
306
Justification Cod? Legend
1 = Direct BL&SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying. Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Photocopying, Commercial Art, Photofinish
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Misc. Plastic Products
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Durables Manufacturing
Finance, Insurance, & Real Estate
Justification
Code
1
1
1
1
1
1
1
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4 .
4
4
4
4
4
4
4
4
4
2
C-133
-------
1
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: All Classes
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
sec
2460000030
2460000055
2460000060
2460000065
2460000070
2460000165
2460000170
2460000185
2460000250
2460000260
2460000285
2460000300
2460000330
2460000340
2460000345
2460000350
2460000370
2460000385
2460000999
2461000000
2461020000
2461020370
2461020999
2461021000
2461021370
2461021999
2461022000
2461022370
2461022999
2461023000
2461023370
2461023999
2461 024000
2461024370
2461024999
2461050000
2461100000
2461160000
2461600000
2461700000
2461800000
2461800999
BLS
Code
306
306
306
306
306
306
306
306
306
306
306
306
306
306
306
306
306
306
306
309
309
309
309
309
309
309
309
309
309
309
309
309
309
309
309
309
309
309
309
399
309
309
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC and use
4 = SCC represents an ancillary process securing within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 ~ Ganaral growth indicator
BLS Description
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Finance, Insurance, & Real Estate
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Services
Population
Services
Services
Justification
Code
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
6
6
6
L 6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
C-134
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Commercial
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
Misc. Non-Industrial: Consumer
All Solvent User Categories
All Solvent User Categories
sec
2461850000
2461850001
2461850002
2461850003
2461850004
2461850005
2461850006
2461850051
2461850052
2461850053
2461850054
2461850055
2461850056
2461900000
2465000000
2465000030
2465000055
2465000060
2465000065
2465000070
2465000165
2465000170
2465000185
2465000250
2465000260
2465000285
2465000300
2465000330
2465000340
2465000345
2465000350
2465000370
2465000385
2465000999
2465100000
2465200000
2465400000
2465600000
2465800000
2465900000
2495000000
2495000001
BLS
Code
136
136
136
136
136
136
136
136
136
136
136
136
136
309
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
Justification Code Legend
1 = Direct BLS/SCC correlation
2 - SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCO represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS Industry responsible for its manufacture
6 = General growth indicator
BLS Description
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Agricultural Chemicals
Services
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
l^^..^. j— ii——
Hopuouon
population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
C-135
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories .
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
sec
2495000005
2495000010
2495000015
2495000020
2495000025
2495000030
2495000035
2495000040
2495000045
2495000050
2495000055
2495000060
2495000065
2495000070
2495000075
2495000080
2495000085
2495000090
2495000095
2495000100
2495000105
2495000110
2495000115
2495000120
2495000125
2495000130
2495000135
2495000140
2495000145
2495000150
2495000155
2495000160
2495000165
2495000170
2495000175
2495000180
2495000185
2495000190
2495000195
2495000200
2495000205
2495000210
BLS
Code
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process oocuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
C-136
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
1
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories
All Solvent User Categories •
cjmfannEKsiil.EuniBfirap^^^^^^^^^^^^^i^H
sec
2495000215
2495000220
2495000225
2495000230
2495000235
2495000240
2495000245
2495000250
2495000255
2495000260
2495000265
2495000270
2495000275
2495000280
2495000285
2495000290
2495000295
2495000300
2495000305
2495000310
2495000315
2495000320
2495000325
2495000330
2495000335
2495000340
2495000345
2495000350
2495000355
2495000360
2495000365
2495000370
2495000375
2495000380
2495000385
2495000390
2495000395
2495000400
2495000405
2495000999
BLS
Code
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
1OQ
OoW
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
399
Justification Code Legend
1=DimctBL&SCCcomlation
2 = SCC put Of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
population
Population
Population
Population
Population
Population
Population
population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Population
Justification
Code
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
| Petroleum Product Storage
125010000001 1381 Petroleum Refining
C-137
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
sec
2501000030
2501000060
2501000090
2501000120
2501000150
2501000180
2501000900
2501010000
2501010030
2501010060
2501010090
2501010120
2501010150
2501010180
2501010900
2501050000
2501050030
2501050060
2501050090
2501050120
2501050150
2501050180
2501050900
2501060000
2501060050
2501060051
2501060052
2501060053
2501060100
2501060101
2501060102
2501060103
2501060200
2501060201
2501070000
2501070050
2501070051
2501070052
2501070053
2501070100
2501070101
2501070102
BLS
Code
138
138
138
138
138
138
138
158
158
158
158
158
158
158
158
138
138
138
138
138
138
138
138
159
159
159
159
159
159
159
159
159
159
159
159
159
159
159
159
159
159
159
Justification Code Legend
1 = Direct BLS/SCC correlation
2 * SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process securing within BLS industry
S = SCC assigned to BLS industry responsible for its manufacture
BLS Description
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Wholesale Trade
Wholesale Trade
Wholesale Trade
Wholesale Trade
Wholesale Trade
Wholesale Trade
Wholesale Trade
Wholesale Trade
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
JustifiCQtiQn
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-138
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
.
1st/2nd Level SCO Description
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Storage
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
sec
2501070103
2501070200
2501070201
2501995000
2501995030
2501995060
2501995090
2501995120
2501995150
2501995180
2505000000
2505000030
2505000060
2505000090
2505000120
2505000150
2505000180
2505000900
2505010000
2505010030
2505010060
2505010090
2505010120
2505010150
2505010180
2505010900
2505020000
2505020030
2505020060
2505020090
2505020120
2505020150
2505020180
2505020900
2505030000
2505030030
2505030060
2505030090
2505030120
2505030150
2505030180
2505030900
BLS
Code
159
159
159
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
145
145
145
145
145
145
145
145
148
148
148
148
148
148
148
148
147
147
147
147
147
147
147
147
Justification Cod? Legend
1 = Dinct BL&SCC convlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 •= SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Retail Trade, excluding Restaurants
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Petroleum Refining
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Justification
Code
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
1
1
1
1
1
1
1
1
4
4
4
4
4
4 .
4
4
4
4
4
4
4
4
4
4
C-139
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Petroleum Product Transport
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
2505040000
2505040030
2505040060
2505040090
2505040120
2505040150
2505040180
2510000000
2510000030
2510000060
2510000065
2510000070
2510000100
2510000165
2510000185
2510000195
2510000220
2510000235
2510000240
2510000250
2510000260
2510000265
2510000270
2510000275
2510000285
2510000295
2510000310
2510000320
2510000345
2510000350
2510000370
2510000380
2510000385
2510000405
2510000900
2510010000
2510010030
2510010060
2510010065
2510010070
2510010100
2510010165
BLS
Code
150
150
150
150
150
150
150
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend
1 - Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth Indicator
BLS Description
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial .Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
1
1
1
1
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-140
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
sec
2510010185
2510010195
2510010220
2510010235
2510010240
2510010250
2510010260
2510010265
2510010270
2510010275
2510010285
2510010295
2510010310
2510010320
2510010345
2510010350
2510010370
2510010380
2510010385
2510010405
2510010900
2510050000
2510050030
2510050060
2510050065
2510050070
2510050100
2510050165
2510050185
2510050195
2510050220
2510050235
2510050240
2510050250
2510050260
2510050265
2510050270
2510050275
2510050285
2510050295
2510050310
2510050320
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Code Legend .
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
S = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-141
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
•
1st/2nd Level SCO Description
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Storage
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
sec
2510050345
2510050350
2510050370
2510050380
2510050385
2510050405
2510050900
2510995000
2510995030
2510995060
2510995065
2510995070
2510995100
2510995165
2510995185
2510995195
2510995220
2510995235
2510995240
2510995250
2510995260
2510995265
2510995270
2510995275
2510995285
2510995295
2510995310
2510995320
2510995345
2510995350
2510995370
2510995380
2510995385
2510995405
2515000000
2515000030
2515000060
2515000065
2515000070
2515000100
2515000165
2515000185
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
Justification Coda Legend
1= Direct BLSfSCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCO end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
C-142
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
SCC
2515000195
2515000220
2515000235
2515000240
2515000250
2515000260
2515000265
2515000270
2515000275
2515000285
2515000295
2515000310
2515000320
2515000345
2515000350
2515000370
2515000380
2515000385
2515000405
2515000900
2515010000
2515010030
2515010060
2515010065
2515010070
2515010100
2515010165
2515010185
2515010195
2515010220
2515010235
251.5010240
2515010250
2515010260
2515010265
2515010270
2515010275
2515010285
2515010295
2515010310
2515010320
2515010345
BLS
Code
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
145
145
145
145
145
145
145
145
145
145
145
145
145
145
145
145
145
145
145
145
145
145
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for Its manufacture
6 = General growth indicator
BLS Description
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Justification
Code
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-143
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
sec
2515010350
2515010370
2515010380
2515010385
2515010405
2515010900
2515020000
2515020030
2515020060
2515020065
2515020070
2515020100
2515020165
2515020185
2515020195
2515020220
2515020235
2515020240
2515020250
2515020260
2515020265
2515020270
2515020275
2515020285
2515020295
2515020310
2515020320
2515020345
2515020350
2515020370
2515020380
2515020385
2515020405
2515020900
2515030000
2515030030
2515030060
2515030065
2515030070
2515030100
2515030165
2515030185
BLS
Code
145
145
145
145
145
145
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
148
147
147
147
147
147
147
147
147
Justification Coda Legend
1* Direct BL&SCC correlation
2 = SCO part of a larger BLS group
3 * BLS represents SCO end uss
4 = SCO represents an ancillary process occuring within BLS industry
5 = SCO assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation .
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Justification
Code
1
1
1
1
1
1
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-144
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
sec
2515030195
2515030220
2515030235
2515030240
2515030250
2515030260
2515030265
2515030270
2515030275
2515030285
2515030295
2515030310
2515030320
2515030345
2515030350
2515030370
2515030380
2515030385
2515030405
2515030900
2515040000
2515040030
2515040060
2515040065
2515040070
2515040100
2515040165
2515040185
2515040195
2515040220
2515040235
2515040240
2515040250
2515040260
2515040265
2515040270
2515040275
2515040285
2515040295
2515040310
2515040320
2515040345
BLS
Code
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
150
150
150
150
150
150
150
150
150
150
150
150
150
150
150
150
150
150
150
150
150
150
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
pipelines, except Natural uas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
npeiu IBB, QtfUriepi rotnui ai ud&
Pipelines, except Natural Gas
flpctllnsa, cjtcgpt WMUIOI was
Pipelines, except Natural Gas
I~I|JOTIII93, OAlX^Jl PWIUiai V7CTO
Pipelines, except Natural Gas
Pipelines, except Natural Gas
pipelines, except Natural uas
Pipelines, except Natural lias
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
L 4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C-145
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Organic Chemical Transport
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Storage
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
sec
2515040350
2515040370
2515040380
2515040385
2515040405
2520000000
2520000010
2520000020
2520000030
2520000040
2520000900
2520010000
2520010010
2520010020
2520010030
2520010040
2520010900
2520050000
2520050010
2520050020
2520050030
2520050040
2520050900
2520995000
2520995010
2520995020
2520995030
2520995040
2525000000
2525000010
2525000020
2525000030
2525000040
2525000900
2525010000
2525010010
2525010020
2525010030
2525010040
2525010900
2525020000
2525020010
BLS
Code
150
150
150
150
150
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
131
145
145
145
145
145
145
148
148
Justification Code Legend
1 = Direct BLS/SCC comtetion
2 - SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Industrial Chemicals
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Water Transportation
Water Transportation
Justification
Code
1
1
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
1
1
1
1
1
1
4
4
C-146
-------
CROSSWALK TABLE FDR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Inorganic Chemical Transport
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Storage
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
sec
2525020020
2525020030
2525020040
2525020900
2525030000
2525030010
2525030020
2525030030
2525030040
2525030900
2525040000
2525040010
2525040020
2525040030
2525040040
2530000000
2530000020
2530000040
2530000060
2530000080
2530000100
2530000120
2530010000
2530010020
2530010040
2530010060
2530010080
2530010100
2530010120
2530050000
2530050020
2530050040
2530050060
2530050080
2530050100
2530050120
2535000000
2535000020
2535000040
2535000060
2535000080
2535000100
BLS
Code
148
148
148
148
147
147
147
147
147
147
150
150
150
150
150
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
147
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 - BLS represents SCO end use
4 - SCC represents an ancillary process occuring within BLS industry
S = SCC assigned to BLS industry responsible for its manufacture
6 = General growth indicator
BLS Description
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Pipelines, except Natural Gas
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Justification
Code
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
C-147
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1
1st/2nd Level SCO Description
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
Bulk Materials Transport
sec
2535000120
2535000140
2535010000
2535010020
2535010040
2535010060
2535010080
2535010100
2535010120
2535010140
2535020000
2535020020
2535020040
2535020060
2535020080
2535020100
2535020120
2535020140
2535030000
2535030020
2535030040
2535030060
2535030080
2535030100
2535030120
BLS
Code
147
147
145
145
145
145
145
145
145
145
148
148
148
148
148
148
148
148
147
147
147
147
147
147
147
Justification Code Legend
1 = Direct BLS/SCC correlation
2 - SCO part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
S = SCC assigned to BLS industry responsible for its manufacture
6 - General growth indicator
BLS Description
Trucking and Warehousing
Trucking and Warehousing
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Railroad Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Water Transportation
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Trucking and Warehousing
Justification
Code
4
4
5
5
5
5
5
5
5
5
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3ulk Materials Transport 1 2535030140] 147 [Trucking and Warehousing | 4 |
DrhSitelncineration 1 2601 OOOOu7l324|GrossRegiona^rodu^^^^^^^^^|^^6^|
On-Site Incineration
On-Site Incineration
On-Site Incineration
Open Burning
Open Burning
Open Burning
Open Burning
Landfills
Landfills
Landfills
Landfills
Wastewater Treatment
Wastewater Treatment
TSDFs
2601010000
2601020000
2601030000
2610000000
2610010000
2610020000
2610030000
2620000000
2620010000
2620020000
2620030000
2630000000
2630010000
2640010000
321
322
399
324
321
322
399
324
321
322
399
399
321
321
Durable & Nondurable Manufacturing
Finance, Retail, Wholesale, & Services
Population
Gross Regional Product
Durable & Nondurable Manufacturing
Finance, Retail, Wholesale, & Services
Population
Gross Regional Product
Durable & Nondurable Manufacturing
Finance, Retail, Wholesale, & Services
Population
Population
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
6
4
6
6
6
4
6
6
6
4
6
6
6
6
C-148
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCO Description
TSDFs
TSDFs
TSDFs
TSDFs
TSDFs
TSDFs
TSDFs
TSDFs
TSDFs
Scrap & Waste Materials
Scrap & Waste Materials
Scrap & Waste Materials
Scrap & Waste Materials
Scrap & Waste Materials
Scrap & Waste Materials
Leaking Underground StorageOOOO
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Crops
Agriculture Production - Livestock
Agriculture Production - Livestock
Agriculture Production - Livestock
Agriculture Production - Livestock
Agriculture Production - Livestock
Agriculture Production - Livestock
Agriculture Production - Livestock
Agriculture Production - Livestock
Agriculture Production - Livestock
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
sec
2640010001
2640010002
2640010003
2640010004
2640020000
2640020001
2640020002
2640020003
2640020004
2650000000
2650000001
2650000002
2650000003
2650000004
2650000005
HMUiUMM
2801000001
2801000002
2801000003
2801000004
2801000005
2801000006
2801000007
2801000008
2801500000
2801520000
2801600000
2805000000
2805001000
2805001001
2805005000
2805005001
2805010000
2805010001
2805015000
2805015001
2840000000
2840000010
2840000020
2840000030
BLS
Code
321
321
321
321
322
322
322
322
322
324
324
324
324
324
324
324
!•
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
182
182
182
182
Justification Code Legend
1 = Direct BLS/SCC correlation
2 = SCO part of a larger BLS group
3 ^BLS represents SCC end use
4 s SCC rapresents sn ancillary process occuring wi\
thin BLS industry
5 = SCC assigned to BLS industry responsible for Us manufacture
6 = General growth indicator
BLS Description
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Durable & Nondurable Manufacturing
Finance, Retail, Wholesale, & Services
Finance, Retail, Wholesale, & Services
Finance, Retail, Wholesale, & Services
Finance, Retail, Wholesale, & Services
Finance, Retail, Wholesale, & Services
Gross Regional Product
Gross Regional Product
Gross Regional Product
Gross Regional Product
Gross Regional Product
Gross Regional Product
Gross Regional Product
•••••••••••I
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Agricultural Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Justification
Code
6
6
6
6
4
4
4
4
4
6
6
6
6
6
6
6
mun
4
4
4
4
4
4
4
4
4
4
4
4
3
3
3
3
3
1
3
3
3
4
4
4
4
-------
CROSSWALK TABLE FOR FILENAME: PHY.SCC
Point Source and Area Source Processes (Manufacturing)
1st/2nd Level SCC Description
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Automotive Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Miscellaneous Repair Shops
Health Services
Health Services
Health Services
SCC
2840000040
2840000050
2840010000
2840010010
2840010020
2840010030
2840010040
2840010050
2840020000
2840020010
2840020020
2840020030
2840020040
2840020050
2840030000
2840030010
2841000000
2841000010
2841000020
2841000030
2841000040
2841000050
2841010000
2841010010
2841010020
2841010030
2841010040
2841010050
2850000000
2850000010
2850000030
BLS
Code
182
182
182
182
182
182
182
182
182
182
182
182
182
182
182
182
185
185
185
185
185
185
185
185
185
185
185
185
194
194
194
Justification Code Legend
1 - Direct BLS/SCC correlation
2 = SCC part of a larger BLS group
3 = BLS represents SCC end use
4 = SCC represents an ancillary process occuring within BLS industry
5 = SCC assigned to BLS industry responsible tor its manufacture
6 = General growth indicator
BLS Description
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Automobile Parking, Repair & Services
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Misc. Repair Shops
Hospitals, Private
Hospitals, Private
Hospitals, Private
Justification
Code
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
C- 150
-------
CROSSWALK TABLE FOR FILENAME: RES_FUEL.SCC
Stationary Source Fuel Combustion: Residential
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Stationary Source Fuel Combustion
Fuel Type
sec
, j 7Tf i^^^^^^^^m 1 1 i 1 1
Bituminous/Subbituminous Coal
Distillate Oil
Kerosene
LPG
Natural Gas
Residual Oil
Wood
Wood
Wood
Wood
Wood
Wood
Wood
Wood
2104002000
2104004000
2104011000
2104007000
2104006000
2104005000
2104008000
2104008001
2104008010
2104008030
2104008050
2104008051
2104008052
2104008053
C-151
-------
-------
APPENDIX D
EXAMPLE CROSSWALK OUTPUT FILES
D-l
-------
1)
2)
3)
RES-FUEI«SCC
HOMES Residential Fossil Fuels
State
01
01
County
004
005
Years: 1993 - 1997
SCC Growth Factor
2104001000 1.1 1.3
2104001000 1.0 1.1
1.4 1.4 l.l
1.1 1.0 1.5
COM-FUEL.SCC
CSEMS Commercial Fossil Fuels
Years: 1993 - 1997
State
01
01
County
004
005
SCC
2103005000
2103005000
Growth Factor
1.1 1.3 1.4
1.0 1.1 1.1
1.4 1.1
1.0 1.5
IND-FUEL.SCC
INRAD Industrial Fossil Fuels
State
01
01
County
004
005
Years:
SCC
2102003000
2102003000
1993 - 1997
Growth Factor
1.1 1.3 1.4
1.0 1.1 1.1
1.4 1.1
1.0 1.5
D-2
-------
4)
ELECTRIC.SCC
Electric Demands
5)
6)
State
01
01
State
01
01
State
01
01
Years: 1993 - 1997
County SCC Growth Factor
004 2101004000 1.1 1.3 1.4
005 2101004000 1.0 1.1 1.1
VMT.SCC VMT Transportation
Years: 1993 - 1997
County SCC Growth Factor
004 2201001191 1.1 1.3 1.4
004 2201001000 1.0 1.1 1.1
PHY.SCC PHYSICAL OUTPUT
Years: 1993 - 1997
County SCC Growth Factor
004 2304000000 1.1 1.3 1.4
005 2304000000 1.0 1.1 1.1
1.4 1.1
1.0 1.5
Demands
1.4 1.1
1.0 1.5
Demands
1.4 1.1
1.0 1.5
D-3
-------
7)
OTHER.SCC
Unmatched SSCs
Years: 1993 - 1997
State County
SCC
Growth Factor
34
123
2304000000
1.0 1.0 1.0 1.0 1.0
34
124
2304000000
1.0 1.0 1.0 1.0 1.0
D-4
-------
APPENDIX E
E-GAS OUTPUT FILES
E- 1
-------
STANDARD E-GAS OUTPUT
Commercial Fuel Combustion File
Electric Utility Fuel Combustion File
Industrial Fuel Combustion File
Miscellaneous Point and Area Source Processes File
Point Source and Area Source Processes (Manufacturing) File
Residential Fuel Combustion File
Mobil Source (VMT) File
FILENAME.EXTENSION
COMM_FUEL.SCC
ELECTRIC.SCC
IND_FUEL.SCC
OTHER.SCC
PHY.SCC
RES_FUEL.SCC
VMT_OUT.SCC
EPS OUTPUT
Point Source File
Area/Mobile Source File
FILENAME.EXTENSION
PROJECT.PTS
PROJECT.AMS
2-DIGIT SIC OUTPUT
Commercial Fuel Combustion File
Electric Utility Fuel Combustion File
Industrial Fuel Combustion File
Point Source and Area Source Processes (Manufacturing) File
FILENAME.EXTENSION
COM_FUEL.SIC
ELECTRIC.SIC
IND_FUEL.SIC
PHY.SIC
E-2
-------
-------
------- |