ŁEPA
United States
Environmental Protection
Agency
Office Of Water
(4305)
EPA 823-R-95-006
May T995
National Sediment Contaminant
Point Source Inventory: Analysis
Of Release Data For 1992
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National Sediment Contaminant Point Source Inventory:
Analysis of Release Data for 1992
Office of Water
Office of Science and Technology
U.S. Environmental Protection Agency
Washington, DC 20460
May 1995
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UNITED STATES ENVIRONMENTAL PROTECTION AGENCY
WASHINGTON, D.C. 20460
EPA 823-R-95-006
office OF
WATER
Dear Colleague:
The U.S. Environmental Protection Agency is pleased to transmit the final version of
the EPA document titled National Sediment Contaminant Point Source Inventory: Analysis of
Release Data for 1992, The primary goal of this document is to provide information
concerning point source releases of potential sediment contaminants.
The Water Resources Development Act of 1992 and EPA's Contaminated Sediment
Management Strategy call for a national inventory and evaluation of sediment quality to
help determine the extent, severity, and sources of sediment contamination. In response,
EPA initiated the National Sediment Inventory (NSI). The NSI is comprised of three
components: a site inventory of monitoring and testing data, a point source inventory of
chemical releases, and a nonpoint source inventory of chemical releases. This document
describes the compilation of discharge data and analysis of the relative potential sediment
hazard from large municipal, industrial, and Federal facilities. The study concludes that
point source dischargers release chemicals that may accumulate in sediment and cause
adverse effects. Furthermore, certain chemicals, geographic areas, and industrial categories
appear to exhibit greater potential for association with sediment contamination than others.
However, the document emphasizes the uncertainty and limitations of the hazard analysis.
EPA anticipates that this study, in conjunction with the other NSI components and
additional sources of information, will assist government agencies and other involved parties
in effectively assessing and managing sediment quality. Please mail, call, FAX, or Email
requests for additional copies to:
EPA OW Resource Center (RC4100)
401 M Street SW
Washington, DC 20460
Phone Order:
FAX Order:
Email:
(202) 260-7786
(202) 260-0386
waterpubs@epamail. epa.gov
Please also include the publication number: EPA 823-R-95-006. Thank you for your
interest in EPA's sediment contamination program.
Tud6r T. Davies
Director, Office of Science and Technology
Recycled/Re cyclabl*
Primed with Soy/Canola Ink on pap*r that
contains at (sail 50% recycled fiber
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TABLE OF CONTENTS
Page No.
EXECUTIVE SUMMARY , . ix
1.0. INTRODUCTION 1-1
1.1. Point Source Inventory and Analysis Objectives 1-1
1.2. Anticipated Uses 1-2
2.0. DEVELOPMENT OF THE POINT SOURCE INVENTORY 2-1
2.1. Identification of Potential Sediment Contaminants 2-1
2.1.1. Chemicals Monitored in Sediment 2-3
2.1.2. Chemicals Released from Point Sources 2-5
2.2. Determination of Chemical Loads 2-7
2.2.1. Toxics Release Inventory Data 2-7
2.2.2. Permit Compliance System Data 2-8
2.3. Assignment of Geographic Location and Industrial Category 2-10
2.4, Inventory Limitations 2-11
3.0 DEVELOPMENT OF SEDIMENT HAZARD SCORES 3-1
3.1. Chemical-Specific Toxicity Score 3-3
3.2. Chemical-Specific Fate Score 3-14
3.3. Sample Calculations and Sensitivity Analysis 3-18
4.0. RESULTS OF SCREENING-LEVEL HAZARD ANALYSES 4-1
4.1. Preparation of Data for Hazard Analysis 4-1
4.2. Analysis by Chemical 4-3
4.3. Analysis by Geographic Area 4-20
4.3.1. Watersheds of Greatest Concern in the Nation 4-26
4.3.2. Watersheds of Greatest Concern in EPA Regions and States .... 4-30
4.4. Analysis by Industrial Category 4-33
4.4.1. Industrial Categories of Greatest Concern in the Nation 4-37
4.4.2. Industrial Categories of Greatest Concern in EPA Regions and
States 4-40
4.5. Conclusions 4-40
5.0. SELECTED APPLICATIONS OF POINT SOURCE INVENTORY DATA ..... 5-1
5.1. Sediment Monitoring Uses 5-1
5.2. Effluent Guidelines Development Uses 5-4
5.3. Pollution Prevention and Remediation Uses 5-5
5.4. Sediment Permitting Uses 5-7
6.0. REFERENCES 6-1
iii
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LIST OF TABLES
Page No.
Table 1. Analysis of TRI Data by Chemical 4-4
Table 2. Analysis of PCS Data by Chemical , 4-6
Table 3. Analysis of Combined TRI-PCS Data by Chemical 4-9
Table 4. Analysis of TRI Data by USGS Regional Hydrologic Units 4-22
Table 5. Analysis of PCS Data by USGS Regional Hydrologic Units (1) 4-23
Table 6. Analysis of PCS Data by USGS Regional Hydrologic Units (2) 4-24
Table 7. Analysis of PCS Data by USGS Regional Hydrologic Units (3) 4-25
Table 8. Analysis of Combined TRI-PCS Data by USGS Regional
Hydrologic Units 4-27
Table 9. Number of Watersheds in Each Priority Group by EPA Region 4-31
Table 10. Analysis of TRI Data by Industrial Category 4-34
Table 11. Analysis of PCS Data by Industrial Category 4-35
Table 12. Analysis of Combined TRI-PCS Data by Industrial Category 4-36
Table 13. Number of Facilities in Industrial Categories by Data Source 4-38
Table 14. Industrial Categories Slated for Effluent Guidelines
Preliminary Studies 5-4
Table 15.
Subset of Current Fish Advisories 5-6
IV
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LIST OF TABLES IN APPENDICES
Table Al. Sediment Hazard Scores Al-1
Table A2. Sediment Quality Guidelines A2-1
Table A3. Aquatic Life Toxicity Data A3-1
Table A4. Human Health Toxicity Data A4-1
Table A5. Chemical Fate and Transport Data A5-1
Table Bl. Priority Group 1 Watersheds by EPA Region and State Bl-1
Table B2. Priority Group 2 Watersheds by EPA Region and State B2-1
Table B3. Priority Group 3 Watersheds by EPA Region and State B3-1
Table B4. Priority Group 4 Watersheds by EPA Region and State B4-1
Table BS. Priority Group 5 Watersheds by EPA Region and State B5-1
Table Cl. HAZREL Scores by Industrial Category and Chemical Cl-1
Table C2. HAZREL Scores by Industrial Category and by EPA Region C2-1
Table C3. HAZREL Scores by Industrial Category by State C3-1
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LIST OF FIGURES
Page No.
Figure 1. Identification of Sediment Contaminants 2-2
Figure 2. Sample Sediment Hazard Score Calculation for Acenaphthene 3-20
Figure 3. Sample Sediment Hazard Score Calculation for Cadmium 3-21
Figure 4. Sample Sediment Hazard Score Calculation for
1,2,3,4 Tetrachlorobenzene 3-22
Figure 5. Sample Sediment Hazard Score Calculation for
Tetrachloromethane 3-23
Figure 6. Sediment Hazard Score Parameter Sensitivity 3-24
Figure 7, Sediment Hazard Score K^. Sensitivity 3-26
Figure 8, Analysis of TRI Data by Chemical Class 4-14
Figure 9. Analysis of PCS Data by Chemical Class (1) 4-15
Figure 10. Analysis of PCS Data by Chemical Class (2) 4-16
Figure 11. Analysis of PCS Data by Chemical Class (3) 4-17
Figure 12. Analysis of TRI-PCS Data by Chemical Class 4-18
Figure 13. USGS Hydrologic Regions 4-21
Figure 14. TRI HAZREL by USGS Accounting Unit 4-28
Figure 15. PCS HAZREL by USGS Accounting Unit 4-29
Figure 16. Analysis by Industrial Category 4-39
VI
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ACKNOWLEDGMENTS
Ms. Catherine A. Fox of the Office of Science and Technology was responsible for
overall development and management of this project; Dr. Thomas Armitage and Dr. Betsy
Southerland of the Office of Science and Technology provided additional technical guidance and
overall support for this project; Mr. James Keating provided hazard assessment method
development and data analysis; Mr. Jay Wind of Versar provided computer programming and
database management; Dr. Linda Phillips and Mr. Greg Schweer of Versar assisted in text
development; Ms. Ruth Hull of the Oak Ridge National Laboratory provided chemical-specific
Henry's Law Constants and slow-stir flask K^ values; and Mr. Chris Zarba of the Office of
Science and Technology provided draft sediment quality criteria. The assistance of these people
allowed successful completion of this project and is sincerely appreciated.
The following individuals reviewed and commented on earlier drafts of this document.
Their assistance is also greatly appreciated.
Sid Abel
EPA Office of Pollution Prevention and
Toxics
Washington, DC
Philip Crocker
EPA Region 6
Dallas, TX
Richard Healy
EPA Office of Science and Technology
Washington, DC
Annette Huber
EPA Office of Science and Technology
Washington, DC
Ken Klewin
EPA Region 5
Chicago, IL
Delia Ng
EPA Office of Enforcement
Washington, DC
Linda Wunderlieh
EPA Office of Water
Washington, DC
Robert Boethling
EPA Office of Pollution Prevention and
Toxics
Washington, DC
David Hansen
EPA Environmental Research Laboratory
Narragansett, RI
Erika Hoffman
EPA Region 9
San Francisco, CA
Stephen Johnson
EPA Region 5
Chicago, IL
Audrey Massa
EPA Region 2
New York, NY
Anthony Pait
National Oceanic and Atmospheric
Administration
Washington, DC
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The following individuals provided an external peer review of the final draft of this document.
Their insightful comments are greatly appreciated.
William J. Adams Robert Hugget
Analytical Bio-Chemistry Laboratories, Inc. Virginia Institute of Marine Science
Columbia, MO Norfolk, VA
Richard Kimerle Keith Phillips
Monsanto Company State of Washington Department of Ecology
St. Louis, MO Olympia, WA
Technical support for development of this report was provided under EPA Contract Number 68-
D3-0013.
via
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EXECUTIVE SUMMARY
In the Water Resources Development Act (WRDA) of 1992, Congress mandated that the
U.S. Environmental Protection Agency (EPA) develop an inventory of sediment quality and
pollutant source information, and evaluate this information to identify the nature and extent,
including causes, of sediment contamination in the United States. WRDA also required that this
information be reported to Congress in 1994 and every two years thereafter. In addition, EPA's
proposed Contaminated Sediment Management Strategy calls for the development of this
database, termed the National Sediment Inventory (NSI), and describes how more than twenty
EPA Program Offices and Regions will use this information to help assess, manage, and prevent
contaminated sediment problems nationwide. The National Sediment Contaminant Point Source
Inventory (NSCSI) is one component of the NSI; the other two components are the National
Sediment Contaminant Site Inventory and the National Sediment Contaminant Nonpoint Source
Inventory. Information from all three databases (continually updated and improved over time)
will be used in the biennial Reports to Congress.
The objectives of the NSCSI project were to: (1) develop the Sediment Contaminant Point
Source Inventory, a national data base of point source pollutant discharges from municipal,
Federal, and industrial point sources that may result in sediment contamination, and (2) to
analyze these releases using a screening-level hazard analysis procedure that ranks chemicals,
geographic areas, and industries of concern based on the potential to cause sediment
contamination.
The first step in the development of the Point Source Inventory database was to compile
a comprehensive set of potential point source sediment contaminants by matching a list of
chemicals monitored and found in sediments with those released from point sources. Two EPA
databases, the Toxics Release Inventory (TRI) and the Permit Compliance System (PCS), were
then used to create two data sets of chemical release information, geographic locations, and
industrial categories for the thousands of facilities releasing these chemicals nationwide. The
geographic location of each facility was linked to the Reach File in EPA's STORET database
based on latitude and longitude, and all facilities were assigned SIC codes corresponding to a
consistent set of industrial categories.
The hazard analysis is based on weighting chemical release amounts by their relative
potential sediment contamination hazard, as indicated by human and aquatic life toxicity test data
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and physical/chemical fate properties. Unitless relative hazard-weighted release (HAZREL)
scores were developed for each chemical by multiplying chemical loads derived from PCS and
TRI data by a chemical-specific sediment hazard score (SHS). Sediment hazard scores are based
on aquatic life and human health biological effects factors (TOX score) and fate factors (FATE
score). TOX scores result from estimated sediment chemistry screening values developed for
the sole purpose of this analysis. The FATE score is intended to represent the potential for a
particular chemical to accumulate in sediment upon release into the water column. HAZREL
scores were used to sort the data according to the chemicals, geographic areas, and industries
of greatest potential concern.
The NSCSI database and analyses are limited by the coverage and biases of the chemical
release data sources, the quality and quantity of chemical release data available from these
sources, the lack of precision in geographical location and industrial category assignment, and
the uncertainties associated with chemical-specific toxicity and fate data and potential adverse
effects assessment methods. For example, data from PCS will be biased toward highly
controlled industries which must monitor for numerous compounds, and TRI data will be biased
toward industries required to report under EPCRA section 313 (e.g., manufacturing). In
addition, the hazard analysis cannot predict whether a point source release will cause a sediment
contamination problem: it can only demonstrate the relative potential in comparison to other
chemicals, geographic areas, or industrial categories in the absence of any mitigating site-specific
information (e.g., organic carbon content). However, this study indicates that ongoing point
source discharges of chemicals that have the potential to accumulate in sediment and cause
adverse effects are occurring. Furthermore, certain chemicals, geographic areas, and industrial
categories appear to exhibit greater potential to be associated with sediment contamination than
others.
Over 22,000 individual TRI and PCS records of point source pollutant releases of 118
different chemicals are included in the hazard analysis for the year 1992, Approximately 930
individual watersheds and 46 distinct industrial categories are represented. When combined, TRI
data and PCS data (setting values below detection limit equal to half the detection limit), indicate
that over 16 million kilograms of potential sediment contaminants were estimated to be released
in 1992. The total combined HAZREL score for these releases is 5.1 million. TRI data alone
account for approximately 8 percent of the combined TRI-PCS releases, and approximately 3
percent of the combined TRI-PCS HAZREL score. In 1992, direct releases from 2,584 facilities
classified as a major permittee in PCS ranged from 14 million kilograms per year (KGY) (values
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below detection limits set equal to zero) to 16.7 million KGY (values below detection were set
equal to the full detection limit). From 1992 TRI data, direct releases and transfers to POTWs
(multiplied by 0.25 to account for removal during treatment) from 3,218 manufacturing facilities
totalled 1.3 million KGY. The results indicate that for TRI data, halogenated organic
compounds and pesticides have the highest HAZREL scores among chemical classes. The
individual TRI chemicals with the highest HAZREL scores are: hexachlorobenzene; ethylene
dibromide; chlordane; 1,2-dichloropropane; and anthracene. PCS data alone account for
approximately 92 percent of the combined TRI-PCS releases, and approximately 97 percent of
the combined TRI-PCS HAZREL score. For PCS data, pesticides, halogenated organic
compounds, and metals have the highest HAZREL scores among chemical classes. Toxaphene,
hexachlorobenzene, and silver are the highest ranked chemicals among these groups.
In general, areas that are population centers and are associated with industrial activity
receive the greatest amount of potential sediment contaminants from point sources. The
geographic regions, defined by United States Geological Survey (USGS) hydrologic regions,
receiving the greatest amount of hazard-weighted point source releases in 1992 are the Lower
Mississippi, the Great Lakes, and the South Atlantic Gulf (river drainage basins from southern
Virginia to eastern Mississippi that flow into the Atlantic Ocean or the Gulf of Mexico), based
on TRI data. These three hydrologic regions account for nearly 85 percent of the total TRI
HAZREL score for the United States. The California, Mid-Atlantic, Lower Mississippi, Great
Lakes, and Texas-Gulf hydrologic regions have the highest HAZREL scores, based on PCS data.
The HAZREL scores for these five regions account for nearly 85 percent of the total HAZREL
score for the United States, based on PCS data. At the hydrologic region level, the distribution
of combined TRI-PCS HAZREL scores differs only slightly from the distribution based on PCS
HAZREL scores alone because PCS release data and HAZREL score accounts for the vast
majority of combined TRI-PCS releases (92 percent) and HAZREL score (97 percent).
However, at smaller units of aggregation, such as USGS cataloging units (or watersheds), the
combined TRI-PCS data provide the most comprehensive set of sediment contaminant release
information. Based on combined TRI-PCS data, over one-quarter (26 percent) of the watersheds
with the highest HAZREL scores in the Nation (i.e., the upper 20 percent, designated as
"priority group 1") are located in EPA Region 4. Large proportions of priority group 1
watersheds are also located in Region 6 (17 percent), Region 5 (16 percent), Region 2 (11
percent), and Regions 9 and 3(10 percent each). Large HAZREL scores are obtained from both
PCS data and TRI data for river drainage areas in the Mid-Atlantic coast, Southern Piedmont,
Gulf coast, Great Lakes, Ohio Valley, California coast, and northwest Washington State. It is
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noteworthy that nonpoint sources may also be significant contributors to sediment contamination
in these areas.
The industries of greatest concern in the nation, based on TRI data, are inorganic
chemical producers, petroleum refineries, and organic chemical manufacturers. Together, these
three industries account for over three quarters of the total TRI HAZREL score. Other
significant industrial categories based on TRI data are photographic equipment (4 percent of TRI
HAZREL score), pulp and paper (3 percent of TRI HAZREL score), and pesticides (3 percent
of TRI HAZREL score). Based on PCS data using half detection limit values, releases from
POTWs account for approximately 61 percent of the total PCS HAZREL score. Other industrial
categories of greatest concern on a national scale include organic chemical manufacturers (11
percent of PCS HAZREL score), pulp and paper (3 percent of PCS HAZREL score), and metal
products and machinery (2 percent of PCS HAZREL score). Based on PCS data using zero
rather than one-half the detection limit for values recorded as below the detection limit, releases
from POTWs account for approximately 49 percent of the total PCS HAZREL score, and
organic chemical manufacturers, pulp and paper, and metal products and machinery account for
approximately 26 percent, 8 percent, and 7 percent of the total PCS HAZREL score,
respectively. As with the analysis by geographic region, the distribution of combined TRI-PCS
HAZREL scores among industrial categories differs only slightly from the distribution based on
PCS HAZREL scores alone because PCS release data and HAZREL score accounts for the vast
majority of combined TRI-PCS releases and HAZREL score. The top industrial categories in
the nation are usually also among the top industries in EPA Regions. However, the top
industrial categories in individual States often differ from the highest ranked national industries,
and may reflect dominant industrial activities in those States.
It is important to note that aggregate data from the Point Source Inventory may not
necessarily be indicative of actual conditions within a geographic area or industry. For example,
a large regional HAZREL score for a chemical may be the result of large releases from a small
number of facilities. This may indicate a localized problem, but not a broad regional problem.
Alternatively, a large regional total could be the result of multiple releases distributed evenly
throughout a region but are not indicative of a significantly high level at any one location. It
is also important to recognize that calculated HAZREL scores are only indicative of the relative
potential for sediment contamination from documented point source inputs in the absence of any
knowledge of historical or nonpoint source inputs and site-specific conditions (e.g., stream
velocity, organic carbon content of underlying sediment) affecting chemical fate and inter-media
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partitioning. Actual releases of toxic chemicals and resulting impacts to human health and the
environment may be greater or less than those predicted in this study depending on the reliability
of the PCS or TRJ data, the contributions of contaminants from unidentified point and nonpoint
sources, and the environmental conditions of the site.
Despite these limitations, the comprehensive compilation of available sediment
contaminant release data in the Point Source Inventory, along with the pollutant-specific
sediment hazard scores, serve as a useful targeting tool to prioritize geographic areas, chemicals
and industries for further evaluation. Point Source Inventory data grouped by industrial
category, and further grouped by chemical within industrial category, can assist EPA's Office
of Science and Technology (OST) in screening industries for effluent guidelines development.
Point Source Inventory data is also being used by the Office of Enforcement to identify potential
discharges or industrial activities that may be contributing to fish advisories. In addition, State
or EPA Regional NPDES permitting authorities could potentially incorporate Point Source
Inventory data in the initial stages of reissuing permits and establishing monitoring requirements.
Finally, the Point Source Inventory is intended to be a companion to the National Sediment
Inventory of contaminated sites. The data from the Point Source Inventory, when combined with
data from the Site Inventory, provide a valuable tool for screening facilities and industries, as
well as chemicals, that may be contributing to sediment contamination, and identifying locations
for further sediment testing.
Xlll
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1.0. INTRODUCTION
During the past two decades, the U.S. Environmental Protection Agency (EPA) has
focused its water pollution control efforts on protecting water quality within the water column.
This has been accomplished primarily by controlling municipal and industrial point sources.
More recently, EPA has begun to direct its efforts towards identifying and controlling other
threats to the aquatic environment, including the accumulation of toxic chemicals in sediment.
Because many different Agency program offices are involved in addressing the nationwide
problem of contaminated sediments, EPA established an Agency-wide steering committee in 1989
to oversee the development of a Contaminated Sediment Management Strategy (CSMS). The
purpose of the CSMS is to coordinate the Agency's efforts to assess, prevent, and remediate
contaminated sediment that poses environmental and human health risks.
Integral to the CSMS is the identification of chemicals of concern based on each
chemical's inherent toxicity, persistence, and propensity to accumulate in sediment; the sources
of these chemicals; and the geographic areas most heavily impacted by their release. The EPA
Office of Science and Technology (OST) is leading EPA's effort to complete a National
Sediment Contaminant Point Source Inventory. Collection and analysis of data describing
sources of contaminated sediment will help provide an understanding of the potential magnitude
and extent of contamination problems in the nation's freshwater and estuarine sediments. The
Point Source Inventory will be useful to help target potentially contaminated sites for additional
monitoring and to integrate sediment sampling into existing water quality monitoring programs.
The inventory will also be a useful source of information for targeting pollution prevention
opportunities and other source control efforts, planning and implementing successful remediation
projects, and as a component of a "weight of evidence" approach to prioritizing possible
enforcement actions in areas known to be problematic.
1.1. Point Source Inventory and Analysis Objectives
Identifying, locating, and assessing all potential sources of sediment contamination on a
nationwide basis is a major undertaking. Potentially significant sources of sediment
contamination include municipal sewage treatment facilities, stormwater discharges and combined
sewer overflows, urban and agricultural runoff, industrial discharges of process wastewater,
leachate from hazardous waste sites, and atmospheric deposition from point and mobile source
emissions. Industrial dischargers that are no longer active, poor quality effluent in years prior
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to effective treatment/prevention initiatives, and spills are important historical sources of existing
sediment contamination that are difficult to identify. The Point Source Inventory is a compilation
of documented releases of known sediment contaminants from active municipal, industrial, and
Federal facilities in the calendar year 1992. The major objectives of this inventory and the
analysis presented in this report are to:
• Generate a relative ranking of chemicals and industrial source categories based on
1992 Toxic Release Inventory (TRI) and Permit Compliance System (PCS)
chemical release data;
• Demonstrate the extent of and characterize regional differences in loading of
potential sediment contaminants;
• Prioritize watersheds for collection of additional information that may lead to the
identification of additional monitoring needs;
• Describe how this information can be useful for contaminated sediment
monitoring, prevention, and cleanup program activities; and
• Establish a baseline to which additional or future inventories can be compared.
Chapter 2 of this report describes the data sources used to develop the Point Source
Inventory. Chapter 3 describes the data sources, assumptions, and algorithms used to develop
the screening-level sediment hazard scores. Chapter 4 presents a summary of the results of
analyses conducted using this scoring system on chemical classes, industrial categories, and
geographic locations. Chapter 5 provides a discussion of these analyses and selected applications
of source inventory data. Appendix A contains the data used to develop hazard scores for
individual chemicals. Appendix B presents the results of the watershed priority listings, and
Appendix C includes detailed results of the analysis by industrial category.
1.2. Anticipated Uses
EPA's Contaminated Sediment Management Strategy (CSMS) calls for the Agency to
compile data, perform analyses, and develop tools that will allow integration of sediment
contamination concerns into existing EPA program office activities, including:
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• Assessment;
• Pollution Prevention; and
• Enforcement-based remediation.
Given the scope of these broad use categories, the various statutes under which sediment
management actions can occur, and the variety of EPA, other Federal, State, and local program
activities related to managing risks posed by contaminated sediments, specific uses of the Point
Source Inventory are numerous and varied, OST has identified four EPA program office uses
of Point Source Inventory data for screening level purposes: (1) sediment monitoring,
(2) effluent guidelines, (3) permitting, and (4) enforcement. These uses are described briefly
below. Specific examples that illustrate how Point Source Inventory data meet the particular
needs of the EPA program offices are provided in Chapter 5.
The primary goals of sediment monitoring are to determine the extent and severity of
sediment contamination, and to specifically identify potential problem areas, or "hot spots." Once
these problem areas are identified, resource managers and regulatory authorities can make
informed decisions, such as posting advisories, gathering additional sediment chemistry and/or
biological effects data, and/or recommending appropriate management actions, such as pollution
prevention. Point Source Inventory data can help identify candidate monitoring locations and
chemicals of concern for ecological and human health risk assessment studies. The inventory
data can also be used to identify sites potentially affected by active sources and might require
further assessment prior to dredging.
An important source control and pollution prevention activity within OST is the effluent
guidelines program for point source pollutant discharge. OST promulgates national
technology-based effluent guidelines for the discharge of toxic chemicals on the basis of
industrial category. As part of this effort, OST selects which industries and pollutants to regulate.
The Point Source Inventory will provide OST with data concerning which industries and
pollutants are more likely to contribute sediment contaminants.
One of the largest source control programs within EPA is the National Pollution Discharge
Elimination System (NPDES), administered by the Office of Wastewater Management. Through
the NPDES program, EPA and State regulatory authorities ensure that discharge from municipal,
Federal, and industrial facilities do not exceed water quality-based pollutant concentration limits.
States can apply sediment quality criteria based on an existing narrative standard or adopt
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quantitative chemical-specific sediment quality criteria as they are developed by OST. Point
Source Inventory data can be useful in assisting permitting authorities identify facilities with the
greatest potential to contribute to sediment contamination.
Enforcement of environmental regulations and standards requires specific knowledge of
the activities and impacts of potential contributors to environmental contamination. Once
pollution problems become known, enforcement sometimes plays a significant role in remediating
contaminated areas. The Point Source Inventory may be useful in providing screening level
information to assist enforcement officials in identifying candidate areas, chemicals, and
industries of concern for developing case studies.
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2.0. DEVELOPMENT OF THE POINT SOURCE INVENTORY
The methodology employed in developing the Point Source Inventory consists of three
basic steps. First, a master list of chemicals of interest was compiled. Chemicals were selected
based on their presence in sediment or on EPA lists of chemicals of concern relevant to sediment
contamination and point source releases to surface water. Second, annual loading amounts were
determined for the chemicals of interest. Two EPA computer data bases were used as the
primary sources of release of information. These are the Toxic Release Inventory (TRI) and the
Permit Compliance System (PCS). Releases were then assigned to geographical locations,
chemical classes, and industrial source categories. The Point Source Inventory data base,
including records for chemicals not included in the hazard analysis, is stored in relational data
tables in both SAS files and dBASE IV. These relational data tables, which contain chemical
loading, facility identification and classification, and geographic location information, are
available from OST.
2.1. Identification of Potential Sediment Contaminants
Potential sediment contaminants of interest were identified by examining sediment
monitoring data bases, pilot studies of sediment contamination, and EPA chemicals of concern.
The list of potential sediment contaminants of interest was compared to a list of point source
pollutants identified using TRI and PCS; chemicals identified in both lists were selected for
inclusion in the Point Source Inventory. The advantages of using contaminants in TRI and PCS
for this purpose are that sources can be readily identified and releases can be quantified.
Chemical Abstract Service (CAS) numbers were used to specify nomenclature and to avoid
duplication in compiling the list of chemicals for inclusion in the Point Source Inventory.
The three partially overlapping circles in Figure 1 depict how the universe of chemicals
was reduced to identify chemicals of interest for the Point Source Inventory. The top circle
represents chemicals that have been reported as being found in sediments. These chemicals
include those identified during routine sediment monitoring, as well as those identified in specific
studies and pilot projects. The bottom right circle represents chemicals released from identified
point sources. Data for these chemicals are stored in two EPA mainframe computer systems, TRI
and PCS. The bottom left circle represents chemicals from non-point sources. Data on these
chemicals are stored in the Aerometric Information Retrieval System (AIRS), in TRI (releases
to air), and in data bases of agricultural chemical applications and urban runoff. The intersection
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Figure 1
Identification of Sediment Contaminants
Chemicals of Concern in Sediment
H
Non-Point Source
Chemicals
Point Source
Chemicals
Chemicals
of Concern
Chemicals Not
of Concern
Non-Point
Source
Point
Source
Point & Non-
Point Source
No Identified
Source
D
E
G
A
B
C
F
H
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of these three groups define several groups of chemicals, designated by letters in Figure 1, For
example, the intersection of "point source" chemicals with "monitored" chemicals identifies a
group of chemicals (areas G and E in Figure 1) that have been found in sediment and have point
source release data available. This report focuses exclusively on these chemicals. Nonpoint
source chemicals (areas "D" and "G") will be considered in a future study.
For this study, 775 individual chemicals were identified as being monitored in sediment
(Groups A, D, G, and E on Figure 1). The number of chemicals reported in PCS and/or TRI as
being released from point sources totals 523 (Groups C, E, F, and G on Figure 1). The
intersection of these two sets of chemicals (Groups G and E on Figure 1) yields 324 chemicals
that can be considered potential point source sediment contaminants. This approach may exclude
pollutants that accumulate in sediment and are currently being released, but have not been
monitored in sediment to date.
2.1.1. Chemicals Monitored in Sediment
Several information sources were used to develop the master list of chemicals monitored
in sediment. Each source is briefly described below.
STORET (STOrage and RETrieval of U.S. Waterways Parametric Data). STORET is
an EPA-maintained mainframe computer data base that serves as a repository for waterway-
related information, such as ambient, effluent, or biological water quality data. A list of
parameters associated with sediment monitoring was generated using the STORET parameter file.
Upon review, parameters not related to toxic chemicals (such as bacteriological, biological, and
location) were deleted from the list, as were parameters that did not represent individual chemical
compounds (such as hydrocarbons and halogens). The resultant parameter file was then used to
retrieve sediment chemical concentration information from the STORET data system.
ODES (Ocean Data Evaluation System), ODES is also an EPA-maintained mainframe
computer data base. It stores monitoring information for both marine (primarily) and freshwater
systems. ODES was developed to support several EPA programs, including the 301(h) sewage
discharge program, the National Pollutant Discharge Elimination System (NPDES) program, and
the Ocean Dumping program. It contains approximately 160,000 data records of sediment
contaminants from over 1,100 stations. For use in this study, chemical parameters were
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converted to standard CAS numbers and chemical names, and other parameters not relevant to
the current analysis (such as BOD, TSS, etc.) were excluded.
OPPT Persistent Bioaccumulators Work Group List. This list, supplied by the EPA
Office of Pollution Prevention and Toxics (OPPT), contains 80 chemicals deemed as potential
persistent bioaccumulators based on physical/chemical property and fate data. Although not
necessarily monitored, these chemicals were considered to be potential sediment contaminants.
EPA Pilot Studies. The two EPA pilot studies described below were considered to be
appropriate data source because they directly address sediment contaminant issues:
• The Gulf of Mexico Program Toxics and Pesticides Issues Committee conducted
an inventory of sediment contaminant sources to identify the amounts and types
of chemical discharges (U.S. EPA, 1993m). The study included 49 chemicals of
concern. The study combined data in TRI and PCS with data for produced water
from oil and gas wells and agricultural pesticide usage to determine the amount
of each pollutant being released. These values were normalized using estuary
volumes and weighted by toxicity of the contaminant to produce the final ranking.
The Toxics and Pesticides Issues Committee examined: the type and amount of
a pollutant being released; pollutants found in sediments; and fish advisory
information; to help identify data gaps and next steps in terms of management
activities.
• Howard Zar and Matthew H. Williams of EPA Region 5 supplied a draft version
(May 26, 1993) of a matrix of historical sources of 37 sediment contaminants by
industry sources. Primary sources used in the development of the matrix include
Lyman et al. (1987), Merck and Co., Inc. (1989), Eckenfelder (1980), and
Bannerman et al. (1992).
NOAA's National Coastal Pollutant Discharge Inventory (NCPDI). This data base is
currently being developed by the Strategic Assessment Branch of the Ocean Assessments
Division, National Ocean Service, National Oceanic and Atmospheric Administration (NOAA).
It will be used by NOAA to assess the effects of pollutant discharges to estuarine, coastal, or
oceanic water (Basta et al., 1985). Sediment chemicals of concern considered in this inventory
include heavy metals, PCBs, and petroleum hydrocarbons.
Literature Surveys. A computer search of the scientific literature concerning sediment
pollutants was conducted using the EPA's On-line Library System (OLS) and Dialog, Lists of
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chemicals were extracted from relevant reports, especially Lyman et al. (1987) and PTI
Environmental Services (1991).
2.1.2. Chemicals Released from Point Sources
The data requirements of the Point Source Inventory limited the number of useful point
source data bases. These requirements include: (1) classification of the type of discharger
(industrial category or SIC code); (2) pollutant-specific release data (e.g., measured or estimated
load to the environment in mass per time) for individual facilities; and (3) location information
for pollutant releases. TRI and PCS are the only national data bases meeting these data
requirements.
Toxics Release Inventory (TRI). TRI is a consistent, comprehensive national data base
of toxic chemical releases to all environmental media. Congress mandated its creation to fulfill
the community right-to-know provision (Section 313) of Title III of the Superfund Amendments
and Reauthorization Act of 1986 (SARA). This Act requires the owners/operators of industrial
facilities to report environmental releases of over 300 specified toxic chemicals to the EPA if the
facility meets certain criteria.
OPPT manages the information on releases submitted by industry. The Toxics Release
Inventory System (TRIS) resides on the EPA's IBM ES/9000 located in the National Computing
Center, Research Triangle, North Carolina. While the TRI data base is updated continuously on
the NCC mainframe, TRI data stored in other media, such as diskettes or CD-ROM, are updated
annually.
Reports submitted by industry are the sole source of data in TRI. TRI contains release
information from approximately 27,000 facilities. Owners or operators must file reports for their
facility when they meet the following criteria:
• Employ the equivalent of 10 or more full-time employees;
« Engage in manufacturing (Standard Industrial Classification (SIC) Codes 20
through 39); and
• Manufacture, import, or process more than 25,000 pounds of any listed chemical,
or otherwise used more than 10,000 pounds of any listed chemical.
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For each listed chemical (currently over 300 specific chemicals and 20 chemical groups),
the facility must submit a "Toxic Chemical Release Reporting Form" that contains:
* Facility identification information such as facility name, parent company, location
(street address and latitude/longitude), type of business (based on SIC codes), key
identifiers (such as Dun and Bradstreet ID, and NPDES numbers), and name of
receiving waterbody;
• Offsite transfer locations for toxic chemicals, such as POTWs (name and address)
or waste disposal and treatment facilities (name, address, and EPA I.D. number);
and
• Chemical-specific information such as chemical identification (name and CAS
number); use of the chemical at the facility; quantities released to air (fugitive and
stack), water (including stormwater), underground injection, and land; quantities
transferred to offsite locations; and waste treatment methods and efficiencies. The
quantities are reported either as a range for levels below 1,000 Ibs/year (i.e., 0-10,
11-499, and 500-999) or as a total annual release. The facility also reports the
methods used in determining the release quantities (e.g., actual monitoring data,
mass balance calculations, or emission factors).
Permit Compliance System (PCS). PCS is the national information management system
for tracking compliance, enforcement, and permit status for the National Pollutant Discharge
Elimination System (NPDES) program under the Clean Water Act (CWA). The NPDES program
requires permits for all point source pollutant discharges to navigable United States waterways
(other than dredged or field material regulated under Section 404 of the CWA). Specific
discharge limits or monitoring requirements have been set for over 200 individual chemicals.
PCS resides on the EPA IBM ES/9000 mainframe computer. EPA offices and NPDES
authorized State regulatory agencies may access PCS through the Agency's telecommunications
network. The general public may obtain information that is not enforcement sensitive through
Freedom of Information Act (FOIA) requests.
The EPA Office of Wastewater Management oversees the NPDES program on a national
level. EPA has authorized 38 States and the Virgin Islands to administer the NPDES program.
EPA regional offices administer the program in nonauthorized States. More than 65,000 active
NPDES permits have been issued to facilities throughout the Nation. PCS has extensive records
on approximately 7,000 permits which are classified as "major". Facilities are classified as
"major" based on consideration of many factors, including effluent design flow, physical and
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chemical characteristics of the wastestream, and location of discharge. Each permit record in
PCS may contain information that;
« Identifies and describes the facility (including a primary Standard Industrial
Classification (SIC) code) to which the permit has been granted;
» Specifies the pollutant discharge limits for that facility;
* Records the actual amounts of pollutants measured in the facility's wastewater
discharges; and
• Tracks the facility's history of compliance with construction, pollutant limits, and
reporting requirements.
Major facilities must report compliance with NPDES permit limits, usually on a monthly
basis, via Discharge Monitoring Reports (DMRs). DMRs provide detailed information on
measured concentrations, including those that are in violation of established limits for the permit.
DMR data entered into PCS include the type of violation (if any), concentration and quantity
values, and monitoring period. The PCS data base is updated twice weekly.
2.2. Determination of Chemical Loads
The Point Source Inventory consists of two distinct sets of chemical loading data: one
based on TRI records, and one based on PCS records. For both data sets, calendar year 1992
data were used because 1992 is the most recent year for which TRI data are available. When
combined into a single data set, TRI-PCS data comprise the most comprehensive National
chemical loading data base. However, facilities covered by both TRI and PCS data sets cannot
be readily identified because no common, quality-controlled facility identification data elements
are available in these data bases. Therefore, there is potential for double records of releases for
those chemicals that are reported in both TRI and PCS.
2.2.1. Toxics Release Inventory Data
Total release amounts for the chemicals of interest were retrieved for each TRI facility
for each of the 324 chemicals of interest that were reported to be discharged to surface water and
POTWs in the calendar year 1992. For each chemical, the total release to surface water and the
adjusted release to POTWs were summed to yield a total facility discharge. Some characteristics
of the TRI data base may introduce uncertainty into the release estimates. For example,
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manufacturers required to report to TRI may estimate chemical releases using ranges (i.e., 10 to
499 Ibs/yr). The ranges are converted to a single value in the TRI data base represented by the
midpoint of the range (i.e., 250 Ibs/yr). Use of these midpoint values may over- or underestimate
the actual releases of TRI chemicals.
The reported release amounts to POTWs were adjusted by assuming that typical secondary
treatments, such as activated sludge and aeration lagoons, remove a portion of the chemical load.
Review of chemical-specific data from the Office of Research and Development's Treatability
Data base (U.S. EPA, 199la) indicated that removal rates can be highly variable and dependent
on conditions at the POTW. Based on peer review comments received on a draft version of this
methodology (Adams, 1994), all pollutants were assigned a removal rate of 75 percent. This
removal rate is a value that will not tend to significantly overestimate or underestimate actual
loading values. In secondary treatment systems, such as activated sludge, chemicals that are
readily biodegraded are usually, but not always, removed at rates equal to or in excess of 90
percent, and adsorption often removes 80 to 85 percent of the mass of chemicals that do not
biodegrade (Adams, 1994).
2.2.2. Permit Compliance System Data
It is important to recognize that, unlike TRI, PCS is a permit tracking system, not a
repository of pollutant release amounts. However, an option in PCS called Effluent Data
Statistics (EDS) can process PCS data to calculate loading values (U.S. EPA, 1992a). EDS uses
the following hierarchy to assign a loading for each pollutant: (I) reported chemical loading
value in PCS is used, when available; and (2) chemical loading estimated based on discharge
flow and concentration measurement. Depending on the monitoring requirements imposed by
the permit, concentrations may be reported in many different ways. Concentration measurements
from PCS were selected in the following order of preference for inclusion in the inventory:
• Average concentration;
• Maximum concentration; and
• Minimum concentration.
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Loadings were estimated only for records with valid concentrations (as defined by PCS-EDS) and
corresponding flow data assuming 30 operating days per month for each facility. Loadings were
estimated using the following general equation:
Load = Flow * Cone * Conversion Factors Equation (1)
where:
Load = Specific pollutant load from a facility per unit time;
Flow = Facility effluent flow per unit time;
Cone = Concentration of a pollutant; and
Conversion Factors = Appropriate factors to convert
reported units to standard units.
Total release amounts of the chemicals of interest were calculated for each PCS facility.
Data were retrieved at the discharge pipe level for each of the 324 chemicals of concern from
PCS for every NPDES discharger where the requisite data were available. Concentration data
for each chemical were converted into yearly loads using Equation 1 above. The calculated loads
for a given chemical from each discharge pipe at a facility were summed to yield the facility total
load. In addition, multiple parameters sometimes exist for the same pollutant. For example, zinc
concentrations may be reported as total zinc and dissolved zinc. In these cases, the largest
calculated load (usually the "total" load) was selected for inclusion in the Point Source Inventory,
Concentration measurements for many of the 324 chemicals of concern were recorded in
PCS as below the detection limit. To handle these records and facilitate various analyses, three
separate data sets were created. The three PCS data sets differ in their treatment of chemical
concentrations recorded as below the detection limit. The first set of PCS loads is based on
setting values below detection equal to zero, the second set is based on setting these values to
half the detection limit, and the third set is based on setting these values equal to the detection
limit. Setting values below detection equal to the full detection limit represents the most
environmentally conservative approach, whereas setting them equal to zero represents the least
conservative. Using half the detection limit is a compromise between the former two extreme
approaches, and is typical for water quality analyses.
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2.3. Assignment of Geographic Location and Industrial Category
Once the chemical release amounts were compiled in the Point Source Inventory for TRI
and PCS facilities, geographic identifiers were standardized or added to the final data sets.
Federal Information Processing Standards (FIPS) codes, county names, and State names were
retrieved from PCS and TRI. Latitude and longitude coordinates were also retrieved from TRI
and PCS, but if these values were missing, then the centroid of the county was used as the
discharge location.
Stream reach numbers were assigned to each facility in the Point Source Inventory to
place chemical discharges into watersheds. Frequently, the reach number was missing from both
PCS and TRI. Consequently, reach numbers were added electronically by linking PCS and TRI
facility identification codes to the EPA Industrial Discharge File (IFD). If the reach number was
not available in IFD, then a computerized routine that starts with the facility latitude/longitude
and searches the EPA Reach File for the nearest reach, up to a maximum distance of 10 miles,
was employed.
Industrial categories are groupings based on Standard Industrial Classification (SIC) codes
currently used by both OST and OPPT for purposes such as effluent guidelines development and
assessment of aquatic impacts of potential releases of Pre-Manufacture Notice chemicals. An
industrial category can be based on a single 4-digit SIC code (e.g., Adhesives and Sealants) or
by a large and variable range of SIC codes (e.g., Metal Finishers).
Each facility in the Point Source Inventory was assigned a single SIC code based on the
designated primary SIC code in PCS and TRI. However, because many large industrial facilities
are involved in multiple activities that may correspond to different SIC codes, industrial category
groupings are only approximate. There were 46 industrial categories overall. PCS data were
grouped into 44 industrial categories, and TRI data were grouped into 41 industrial categories,
TRI includes the ink and waste oil reclamation industrial categories, but PCS does not. POTWs,
coal mining, hospitals, oil and gas, and warehousing and storage are not included in TRI, but are
included in PCS.
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2,4, Inventory Limitations
The Point Source Inventory contains various limitations that should be considered when
using this information in environmental decision-making. These limitations do not, however,
preclude the use of the NSCI as a targeting tool to prioritize geographic areas, chemicals, and
industries for further evaluation. In some instances, the limitations may affect small scale
analyses (i.e. individual stream or lake waterbody segments); large scale analyses, such as the
ones presented in this report, are affected to a lesser degree. Conclusions presented in this
report are made with consideration of the following information.
The NSCSI database and analyses are primarily limited by the quality and quantity of
existing data in national EPA data bases. The broad scope of the inventory has prohibited
collection of large amounts of data from numerous site-specific information sources at this time.
Therefore, the inventory relies on data available in national electronic data bases such as TRI and
PCS. While a considerable volume of information is contained in these data bases, many
important parameters are not available. In particular, no national electronic data base accurately,
consistently, or completely stores information concerning the characteristics of waterbodies, such
as underlying sediment type. Furthermore, data quality assurance/quality control are important
issues when using data from large national data bases that receive input from a variety of
sources; the amount of data contained in these national data bases is too large to conduct
comprehensive verification procedures. In addition, it should be noted that the number of
facilities discharging chemicals of concern may vary from year to year based on such factors as
regulatory changes (e.g., increased chemical reporting or SIC coverage in TRI, or increases in
the number of recorded stormwater permits in PCS) or economic conditions. Given these
qualifications, the three major limitations of the inventory as it is now structured are:
• The inability to predict the exact location of sediment contamination that may
result from point source releases (i.e., the geographic analyses are limited to
identifying areas or watersheds where point source releases occur);
• The inability to indicate definitively whether a point source release will cause a
sediment contamination problem; and
* The inability to assess sediment contamination arising from nonpoint source inputs
(including deliberate introduction of toxic substances, such as pesticides and
household chemicals, to the environment) and from point source inputs not
represented in the PCS or TRI data bases (e.g., facilities which do not meet a TRI
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reporting criterion and for which no NPDES permit limits have been established
but from which chemicals of concern are being discharged).
Conclusions based on the Point Source Inventory should take into consideration the
inherent limitations of the data bases and the assumptions used in creating the inventory. Factors
associated with data base limitations that should be considered include: the possibility of
erroneous data in TRI and PCS; the limited coverage of TRI and PCS; and inherent data base
biases. Neither PCS nor TRI accurately reflect the full extent of toxic chemical releases from
point sources, and the data contained in them may be inherently biased. Although several
hundred individual chemicals are represented in each data base, as many as five to ten times
more chemicals may be discharged (Adams, 1994). In addition, the number of chemicals
addressed in PCS permits is highly variable. Because the types and number of chemicals
included is partly a function of the policies and practices of the State or Regional permitting
authority and of the industrial activities conducted at the facility, this may lead to biases toward
some geographic regions and industrial categories. Furthermore, only approximately 10 percent
of permitted dischargers are classified as "major" and have extensive records from which
chemical loads can be derived (See Section 2.2.2). Facilities subject to TRI reporting represent
a relatively narrow range of commercial activities (manufacturing only). Although the TRI data
base is based on a standard set of chemicals, many highly toxic chemicals that tend to accumulate
in sediment are not included. Therefore, TRI captures only a. portion of chemical releases to the
environment. Future enhancements to TRI may overcome some of these limitations and the
biases they create.
Other potential sources of error are associated with the assumptions used in the
assignment of geographic location and industrial category. In many cases, geographic location
assignment was made using latitude and longitude coordinates of the facility and the nearest
stream reach. However, the nearest stream may not be the receiving stream for some facilities.
Also, for TRI data, POTW receiving streams could not be identified; PCS contains more reliable
information on location and discharge data on POTWs. Consequently, chemical loadings derived
from POTW transfers for TRI data were assigned to the stream reach associated with the
reporting facility. Industrial category assignment was made on the basis of primary SIC code.
However, many facilities are engaged in a wide range of commercial activities. As a result,
chemical waste generated from non-primary SIC code activities are included with these from the
primary SIC code in the Point Source Inventory.
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3.0 DEVELOPMENT OF SEDIMENT HAZARD SCORES
One major objective of this project was to develop and employ a screening- level hazard
analysis procedure that can be used to generate a relative ranking of chemicals and industrial
source categories that are potential contributors to sediment contamination and to prioritize
watersheds for collection of additional information that will lead to the identification of
additional monitoring needs. To enable screening-level analyses, chemical-specific sediment
hazard scores (SHSs) were developed and used to normalize the annual chemical loads (ACLs)
in the Point Source Inventory. In the screening-level analysis (described in Section 4), ACLs
were multiplied by chemical-specific SHSs to produce HAZard-weighted RELease scores
(HAZRELs):
HAZREL = SHS * ACL Equation (2)
where:
SHS = Sediment Hazard Score; product of the FATE and TOX
scores as described below; and
ACL = Annual Chemical Load; annual release amount (kg/year) of
a specific chemical from individual industrial or municipal
treatment facilities.
SHSs are intended to represent both the potential of a particular chemical to cause
sediment contamination upon release into the water column (independent of the characteristics
of the site) and the potential ecological and human health risk posed by the chemical. The SHS
is the product of the chemical-specific toxicity (TOX) score and chemical-specific fate (FATE)
score. The TOX score is intended to represent the potential for adverse effects to human health
and aquatic life from chemicals in sediment. The FATE score is intended to represent the
potential for a chemical to partition to and persist in sediment. Three previous works were
examined, in particular, to assist in the development of the screening-level hazard analysis
methodology:
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• Established methods of determining sediment toxicity (U.S. EPA, 1992b);
• Superfund's Hazard Ranking System, Final Rule (Federal Register, 1990); and
• NOAA's pesticide hazard rating system (Pait et al,, 1992).
Calculated SHSs, TOX scores, and FATE scores, along with the information required
to calculate them (i.e., aquatic and human toxicity data, physical/chemical properties, and
estimated sediment chemistry screening values), are presented in Appendix A of this report.
The HAZREL score is a unitless index of potential sediment contamination based on
chemical/facility-specific releases, physical and chemical properties, and potential environmental
risk. HAZREL scores indicate the relative potential for sediment contamination from
documented point source inputs in the absence of any knowledge of historical or non-point
source inputs and site-specific conditions (e.g., stream velocity, organic carbon content of
underlying sediment) affecting chemical fate and inter-media partitioning. HAZREL scores may
be used to rank and compare potential sediment contamination sources. Once the HAZREL
scores were calculated for each chemical-facility combination, a number of data aggregations
were performed to evaluate chemical classes and industrial categories for their potential risk of
causing sediment contamination, and to identify geographic areas where the risk of contamination
from active point sources may be the greatest. The following equations are examples of these
aggregations. For a geographic analysis of inventory data, equation (3) depicts HAZREL scores
combined at the USGS Regional Hydrologic Unit (USGSRGN) level:
HAZRELUSGSRON - Ł HAZREL(USGSKGNJ) Equation (3)
i-l
where: n is the total number of HAZREL scores within USGSRGN.
For the analysis of individual chemicals by industry, equation (4) depicts HAZREL scores
combined for specific chemicals (CHEM) from specific industrial categories (ICAT):
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n
HWRICAT,CHEM = Ł HAZRELt,^^a^n Equation (4)
i-l
where: HAZRELaCAT CHEMii) are the scores associated with the
specific industrial category and chemical.
3.1. Chemical-Specific Toxlcitv Score
Sediment contamination is a function of the mixture and concentration of toxic pollutants
in the sediment and the physical and chemical characteristics of the site. To assess potential
sediment toxicity, sediment chemistry data must be related to adverse biological effects.
Analysts and managers can use numerical effects-based, chemical-specific concentration values
to assist in the evaluation of sediment chemistry data and to identify and prioritize problem
areas. For purposes of this analysis only, EPA derived estimated sediment chemistry screening
values using a variety of readily available assessment methods. The TOX score component of
the SHS was calculated by taking the inverse of the chemical-specific screening value reported
in units of mg/kg. Because the inverse of the sediment chemistry screening value is used, the
TOX score increases in direct proportion to the potential adverse effect of the chemical.
Several methods are currently available for developing sediment chemistry screening
values (U.S. EPA, 1992b). Most of these methods require information on site-specific
conditions (field data) and chemical-specific properties. However, because field data are not
available for each point source discharge location, screening values for use in analyzing the Point
Source Inventory releases data must be based on empirical methods that make use of available
data from a variety of sites, or mechanistic methods where the site-specific components can be
reasonably assumed. The NOAA National Status and Trends Effects Range approach and the
State of Washington Apparent Effect Threshold approach each utilize existing sediment
chemistry and biological effects data from a variety of sites, and the EPA's Equilibrium
Partitioning approach has a site-specific component that can be reasonably assumed. The
preferred approach for screening value estimation depends on the properties and expected
chemical partitioning associated with the released chemical.
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In this study, the Equilibrium Partitioning approach was used to develop estimated
sediment chemistry screening values for nonionic organic compounds; the Effects Range
approach was used for deriving estimated sediment chemistry screening values for metals, and
the Apparent Effects Threshold approach was used for deriving estimated sediment chemistry
screening values criteria for ionic organic compounds. These approaches, along with the
justifications for their use, are described on the following pages. Appendix A contains a listing
of all the estimated sediment chemistry screening values, as well as the supporting aquatic life
and human health toxicity data, for the chemicals of concern contained in the Point Source
Inventory.
It is important to note that the certainty to which sediment toxicity can be predicted for
each chemical varies significantly based on the quality of the available data and the
appropriateness of exposure assumptions. Estimated sediment chemistry screening values were
intended and appropriate for use in this report only. Their purpose is to obtain a relative
ranking of potential hazard for aquatic bottom sediments from point source pollutant discharges
to surface waters. The following limitations of the estimated sediment chemistry screening
values should be noted:
• Values may be over- or under-protective of actual site-specific sediment because
methodological and exposure conditions vary considerably.
• Values are general approximations of concentrations potentially leading to adverse effects
because data and assessment methods are currently being compiled and developed.
• Values are based on a composite of several different sediment assessment approaches and
a variety of data sources, the application of which EPA has not adopted or endorsed for
use outside this analysis.
Sediment quality criteria and estimated sediment chemistry screening values are not equivalent.
EPA has proposed sediment quality criteria for five chemicals based on extensive data quality
and quantity requirements and methodologies that have gone through extensive peer review for
the intended application. The estimated sediment chemistry screening values for additional
chemicals presented in Table A2 of Appendix A of this report are not sediment quality criteria
and should not be used as such.
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Nonionic Organic Compounds: Equilibrium Partitioning (EqP)
The EPA Science Advisory Board (SAB) gave a favorable review to the equilibrium
partitioning (EqP) approach for development of sediment quality criteria for nonionic organic
chemical pollutants that are protective of aquatic life and human health (from ingestion of
organisms) (U.S. EPA, 1992c). EPA's Office of Water has proposed marine and freshwater
sediment quality criteria using the EqP approach for five nonionic organic chemicals:
acenaphthene, dieldrin, endrin, fluoranthene, and phenanthrene (U.S. EPA 1993c-g). Calculated
aquatic life-based freshwater criteria, normalized to 1 percent organic carbon, were used as
estimated sediment chemistry screening values for these five compounds in the study.
Freshwater criteria were used because the majority of locations addressed in the inventory are
freshwater waterbodies.
EqP is based on predicting interactions among sediment, interstitial or pore water (i.e.,
the water between sediment particles), and chemical contaminants. EqP was developed
following observations that adverse biological effects were poorly correlated with dry weight
chemical concentration in bulk sediment, but well correlated with pore water concentration as
well as organic carbon normalized concentration (Di Toro et al., 1991). EqP is a simple
screening model for predicting a dry weight sediment concentration that is in equilibrium with
a threshold pore water concentration using the chemical-specific organic carbon-water partition
coefficient (K^,) and the site-specific organic carbon content. EPA recommends using chronic
water quality criteria as the threshold pore water concentration in developing sediment quality
criteria. The EqP model makes the following assumptions:
» Solid and water phases are in equilibrium.
» Organic carbon is the primary agent of chemical adsorption.
• The threshold concentration protective to aquatic life in the water column is
representative of the threshold concentration protective to benthic organisms (i.e.,
chemical sensitivity is similar).
For the nonionic organic chemicals addressed in the Point Source Inventory for which
EPA has not established sediment quality criteria, EqP-based estimated sediment chemistry
screening values were calculated separately for the protection of aquatic life and for the
protection of human health using the following equation (U.S. EPA, 1993b; Di Toro et al.,
1991):
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SCV = TWC * KM * % OC (Equation 5)
where:
SCV = Estimated sediment chemistry screening value (mg/kg);
TWC = Threshold water concentration, EPA criterion or other representative
value protective of aquatic life or of human health (mg/L);
KO,. = Organic carbon-water partitioning coefficient (L/kg); and
%OC = Percent organic carbon in sediment, assumed to be 1%.
Except for the five chemicals with aquatic life-based EPA sediment quality criteria, the
more stringent of the calculated aquatic life-based or human health-based screening value was
used to represent each chemical for the toxicity component of the hazard score. EPA considers
this selection to be appropriate because the Agency is committed to protecting both human health
and ecology. Some chemicals exhibit a stronger adverse effect on aquatic life than on human
health, whereas other chemicals exhibit the reverse. Selection of the more stringent scrrening
value ensures that the more serious overall threat is addressed.
The threshold water concentration (TWC) for aquatic life protection was set at the
freshwater final chronic value when national water quality criteria were available. Criteria
values were derived from toxicity studies using a diverse genera of aquatic life and have been
published previously by EPA. Chronic criteria are defined as the 4-day average concentrations
of toxicants at which diverse genera of aquatic organisms should not be unacceptably affected,
provided that these levels are not exceeded more than once every 3 years.
The EqP approach is generally recommended to be used in conjunction with a site-
specific organic carbon (OC) fraction and water quality criteria (U.S. EPA, 1993b; Di Toro et
al., 1991). However, for this study, the organic carbon content of sediment at each site is not
available, and water quality criteria do not exist for a large number of the chemicals of interest.
Many studies have shown that the OC fraction in marine systems may vary from 0.2 percent to
30 percent, depending largely on the sand, silt, and clay content of the sediment (Di Toro et al.,
1991). Freshwater systems typically vary from 1 percent to 5 percent OC. OC concentration
of 1 percent was assumed to be representative of both marine and freshwater environments for
the purpose of guideline calculation for the hazard analysis in this study.
U.S. EPA (1993b) recommends using the following regression equation to calculate the
organic carbon-water partition coefficient (K^) from the octanol-water partition coefficient (K^,,):
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= 0.00028 + 0.983 * log10ATw (Equation 6)
Octanol-water partition coefficients derived from the slow stir flask method were selected
preferentially over other laboratory values reported in literature (U.S. EPA, 1993b).
For chemicals without a national chronic water quality criterion, a value selected from
compiled chronic toxicity test data for individual aquatic species (or acute toxicity test value
multiplied by an acute:chronic ratio) was assumed to be representative of general aquatic life
toxicity. This assumption, which allows extrapolation from acute data to chronic protection,
may be over- or under-protective for some chemicals under consideration.
The following hierarchy was used to select a representative value, in descending order
of priority:
• Lowest reported maximum allowable toxic concentration (MATC), lowest
observable effect concentration (LOEC), or no observable effect concentration
(NOEC);
• Lowest reported chronic growth or reproductive toxicity test concentration; and
» Estimated chronic toxicity effect level from a measured acute:chronic ratio for a
less sensitive species, quantitative structure activity relationship (QSAR) model,
or default acute:chronic ratio of 10:1.
Chronic aquatic test data were used to identify the three effect levels of potential
significance: the no observed effect concentrations (NOEC), the lowest observed effect
concentration (LOEC), and the maximum allowable toxic concentration (MATC). Chronic
aquatic tests measure the effects of long-term exposure to a chemical. Test endpoints include
such variables as survival percentage, hatchability, and normal larvae weight and length.
Chronic tests of longer exposure duration measure endpoints such as growth and reproduction.
NOEC is the highest toxicant concentration to which test organisms have been exposed that
resulted in no observable adverse effect. LOEC is lowest toxicant concentration at which a
chronic effect on a test organism has been observed. The MATC is the geometric mean of the
NOEC and LOEC and is meant to represent the threshold level where chronic effects would
begin to occur. For the estimated sediment chemistry screening value derivation, MATC values
3-7
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were selected first, followed by LOEC values, and lastly NOEC values as a reflection of the
decreasing level of confidence in the accuracy of these values to represent the actual threshold
chronic effect level.
For chemicals that do not have chronic aquatic life criteria, MATCs, LOECs, or NOECs,
chronic effect levels were obtained from readily available sources of chronic toxicity test data.
The preferred information source was the EPA's Assessment Tools for the Evaluation of Risk
(ASTER) system, which combines the AQUatic toxicity Information Retrieval data base
(AQUIRE), the EPA Environmental Research Laboratory-Duluth (ERL-Duluth) fathead minnow
data base, and tables of toxicity test results from water quality criteria documents. The ASTER
system differentiates between test data in AQUIRE that are likely to be of good quality and test
data in AQUIRE that are of unknown quality, according to the following criteria:
* Test pH within range of 6.5 - 8.5;
• Review code 1 (methodology section cites published or well-documented
procedures; satisfactory control; measured concentration; temperature, pH,
dissolved oxygen; and hardness are reported) or code 2 (one or more of the
following may occur: control mortality not reported; no solvent control when a
solvent is used in the test; unmeasured concentration; water chemistry variables
not reported or incomplete);
• No formulations or carriers used;
• Measured values and flow-through exposure only for tests on fish (no static
exposure); and
» Measured values only for invertebrates or plants (exposure may be static or
flow-though).
Test results from ERL-Duluth fathead minnow data base were assumed to be of good quality.
However, test results reported in water quality criteria documents are of unknown quality. The
lowest reported concentration from a chronic growth or reproductive test on a North American
native fish or invertebrate, or biologically significant (i.e., chlorophyll production) EC5Qtest for
an algal species, was selected preferentially from the pool of test data likely to be of good
quality, or alternatively from the pool of data of unknown quality. If appropriate test data were
not available from ASTER, other primary or secondary information sources were consulted.
3-8
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Chronic toxicity effect levels were estimated when measured values were not available.
The preferred method for estimating a chronic toxicity effect level was to use an aeutexhronic
ratio (ACR), ACRs are based on measured acute and chronic effect levels for the same species.
The calculated ACR ratio is applied to the acute aquatic toxicity criterion or acute toxic effect
level selected for the pollutant of concern. This method was also used in instances where the
measured chronic toxicity effect level in one species was greater than the acute criterion or
representative acute toxic effect level in another more sensitive species. The acute toxic effect
level used was typically the lowest reported acute test concentration (24- to 96-hour median
lethal concentration (LC50s)) for a North American resident species of fish or invertebrates. As
with chronic toxic effect levels, a test result of good quality as defined by ASTER was selected
ahead of a test result of unknown quality.
The next preferred method was to use ERL-Duluth's quantitative structure activity
relationship (QSAR) model. QSAR derives statistically-based relationships between physical-
chemical properties and biological activity. The QSAR model uses measured toxicity test results
for compounds with similar chemical structures and properties to estimate MATC values for
compounds whose chemicals structure and properties are known or may be estimated.
The least preferred method for estimating a chronic toxicity effect level was to apply an
assumed ACR of 10:1 to a known acute toxic effect level. The ACR of 10:1 is based on
OPPT's "rule of thumb" for estimating chronic toxicity when no data are available. This
assumes that the chronic toxicity value is 10 times lower than the acute value. There is
uncertainty associated with aquatic life-based criteria and other selected aquatic life toxic effect
levels. The degree of uncertainty varies for each chemical and is not assessed as part of this
study.
The equilibrium partitioning model can also be used to calculate estimated sediment
chemistry screening values for the protection of human health from ingesting contaminated
organisms (NY DEC, 1993). EqP human health-based estimated sediment chemistry screening
values were calculated using Equation 5 and substituting the human health value (HHVAL),
calculated using Equations 7 and 8, for the threshold water concentration (TWC). This
application assumes that the same factors that control availability for aquatic toxicity control the
availability for biological uptake, A chemical-specific bioconcentration factor is used to
determine the partitioning of chemical from pore water to biota. This application ignores
biological uptake from dietary sources, such as direct ingestion of sediment and ingestion of
3-9
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lower trophic level organisms (i.e. bioaccumulation). U.S. EPA (1991b) gives two equations
for determining a water column level protective of human health from ingesting organisms; one
for chemicals exhibiting carcinogenicity and one for chemicals exhibiting other systemic health
effects:
Systemic Toxidty
HHVAL = *w xtgu Equation (7)
l X BCF
Carcinogenicity
where:
HHVAL = Human health value (mg/L);
SF = Cancer potency slope factor (mg/kg-day)"1 (chemical -specific);
Risk level = Excess cancer cases (10"*);
RfD = Reference dose (mg/kg-day) (chemical-specific);
BCF = Bioconcentration factor (L/kg) (chemical-specific);
Ifuh = Daily ingestion rate of fish (0.0065 kg/day); and
BW = Body weight (70 kg).
EPA employs the above equations with the identified default values to calculate human
health-based water quality criteria for consumption of aquatic organisms (U.S. EPA, 1991b).
Reference doses (RfDs) are chemical potency factors for systemic toxicants, and are usually
derived from animal toxicity test data to which safety factors are applied. Slope factors (SFs)
are determined from available human epidemiology data and animal toxicity studies to which
safety factors are applied. For carcinogenic compounds, 10"6 (one in a million excess cancer
cases above background allowed) is used as the acceptable human health risk level, consistent
with Office of Water policy in calculating human health water quality criteria. The primary
source of RfDs and SFs used to develop the HHVALs was EPA's Integrated Risk Information
System (IRIS). A secondary source was the OSWER/ORD Health Effects Assessment Summary
Tables (HEAST). Bioconcentration factors (BCFs) are extracted primarily from EPA water
quality criteria documents. For general population exposure, U.S. EPA (1991b) recommends
using 6.5 grams as a daily fish consumption rate and 70 kg as an average adult body weight.
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The human health application of EqP has greater associated uncertainty than the aquatic
life application because of the many additional input parameters, such as BCF, RfD, and SF.
However, human health-based estimated sediment chemistry screening values are important
because many chemicals discharged by point sources and found in sediment can potentially pose
a greater potential threat to human health than to aquatic life. Although human exposure to
contaminated sediment may also occur via direct dermal contact or from drinking water
contaminated by solubilized or resuspended sediment pollutants, exposure via these routes is
expected to be minimal compared to exposure via ingestion of contaminated organisms.
Metals: Effects Range-Median (ER-M)
EPA is currently in the process of developing a methodology for deriving sediment
quality criteria for metal contaminants (U.S. EPA, 1992b). In the interim, alternative means
of establishing estimated sediment chemistry screening values, based on the National Oceanic
and Atmospheric Administration (NOAA) National Status and Trends Program (NSTP) effects
range approach, are employed for this study. Environment Canada, the Florida Department of
Environmental Regulation, the California Water Resources Control Board, and the New York
State Department of Environmental Conservation all utilize an effects range approach in their
sediment quality management programs (U.S. EPA, 1992b; NY DEC, 1993). The following
discussion is adapted largely from the description of the derivation of New York sediment
quality criteria for metals in NY DEC (1993).
The complex interactions between metal contaminants and the aquatic environment
preclude use of simple screening-level approaches to estimated sediment chemistry screening
value derivation, such as the EqP approach for nonionic organic compounds described above.
The potential toxicity of metals in the aquatic environment depends largely on the form in which
the metal is present (Manahan, 1991). Metals can be found in a dissolved ionic form, dissolved
neutral form, in inorganic precipitates (i.e., hydroxides and carbonates), or complexed to organic
or mineralogic (i.e., clay particles) material. The form of metal present, in turn, is highly
dependant on site characteristics such as pH, oxidation-reduction (REDOX) potential, and
available complexing ions and ligands. In general, the dissolved fraction of metals account for
most bioavailability and toxicity to aquatic organisms (U.S. EPA, 1993a).
The effects range approach for deriving estimated sediment chemistry screening values
involves matching dry-weight sediment contaminant concentrations with associated biological
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effects data. Data from modeling, laboratory, and field studies are used to determine the
concentration ranges that are rarely, sometimes, and usually associated with toxicity (U.S. EPA,
1992b). This approach is valid for extrapolation from contaminant concentrations to
observations of effects. For the NSTP, Long and Morgan (1990) assembled sediment data for
10 metals and several organic compounds from freshwater and marine environments nationwide.
For each chemical, sediment concentration data with incidence of observed adverse biological
effects were isolated and ordered. The authors identified the lower 10th percentile concentration
as the effects range-low (ER-L) and the 50th percentile concentration as the effects-range median
(ER-M). Sediment contaminant concentrations below the ER-L are said to be in the "no effect
range", values between the ER-L and ER-M are in the "possible effect range", and values above
the ER-M are in the "probable effect range".
The Ontario Ministry of the Environment used a similar effects based approach to derive
lowest effect levels (LEL) and severe effect levels (SEL) (NY DEC, 1993). New York State
has adopted the lower of the Long and Morgan ER-L or Ontario LEL, and the lower of the
Long and Morgan ER-M or Ontario SEL, as sediment screening criteria for 12 metals. The
Ontario levels are generally lower than the Long and Morgan values. This may be because
much of the data used to generate the Ontario effects range values were from Lake Ontario, a
relatively pure waterbody where fewer ligands would be available to bind metals, and lower
metal concentrations could cause toxicity. In contrast, Long and Morgan included samples from
more eutrophic waterbodies. New York justified the use of the lower of the Ontario or Long
and Morgan effects range values on the basis that much of the freshwater in New York is
oligotrophic and similar to Lake Ontario (NY DEC, 1993).
The NSTP effects range approach does not account for factors such as organic matter
content, acid volatile sulfide concentration, and particle size distribution that can mitigate
bioavailability and, therefore, toxicity of metals in sediment. Furthermore, the NSTP effects
range approach may not separate toxicity associated with metals from toxicity associated with
other compounds. This empirical, weight of evidence type of approach, as opposed to the
mechanistic equilibrium partitioning approach, has drawn some criticism because it does not
account for bioavailability. In particular, a great deal of attention in recent literature has focused
on the role of acid volatile sulfide (AVS) in limiting metal bioavailability and toxicity in
sediment (Di Toro et al., 1990; Allen et al., 1993).
3-12
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A large reservoir of sulfide exists as FeS in anoxic sediment. Sulfide will react with
several divalent transition metal cations (cadmium, copper, mercury, nickel, lead, and zinc) to
form highly insoluble precipitates and thus control the bioavailability of these metals in pore
water (Allen et al., 1993). It follows in theory, and with verification (Di Toro et al., 1990), that
divalent transition metals will not begin to cause toxicity until the reservoir of sulfide is used up
(i.e., the molar concentration of metal in sediment exceeds the molar concentration of sulfide
in sediment), typically at relatively high dry weight metal concentrations. This observation has
led to a laboratory measurement technique of calculating the ratio of simultaneously extracted
metals to acid volatile sulfide concentrations (SEM/AVS) from field samples to determine
potential toxicity.
For the following reasons, ER-M values from Long and Morgan (1990) were used to
derive chemical-specific toxicity scores for metals included in the hazard analysis of source
inventory data. First, discharge data from PCS and TRI did not include measurements of AVS
or SEM, therefore, the use of EPA's proposed approach for metals was not possible. Second,
for several reasons effects range values from other studies, such as Long et al. (1993) and
Ontario effect levels, are not as appropriate as values from Long and Morgan (1990). Values
from Long et al. (1993) are based on marine samples only, whereas the majority of point
sources addressed in this inventory discharge into freshwater. Ontario effect levels are based
on samples from oligotrophic waters, whereas waters receiving municipal and industrial
wastewater tend to be eutrophic. Third, because of the uncertainty in isolating effects solely
from individual metal species, and in light of recent evidence on the effects of AVS, ER-L
values may be overly conservative. Consequently, ER-M values were used to predict ecological
effects for metals in sediments. It should be noted that the strength of predictability varies
considerably among metals (Long et al., 1993) as it does for organics.
loniwble Organic Compounds: Apparent Effects Threshold (AET)
At present, no effects range values or equilibrium partitioning approach are available for
ionizable or polar organic compounds. lonizable organic compounds can exhibit a net electrical
charge that increases their solubility and decreases their potential to accumulate in sediment.
The effect of charge on solubility increases the number of factors that control the pore water to
sediment equilibrium and preclude use of the EqP approach described above. However, Barrick
et al. (1988) report apparent effect threshold (AET) values for seven ionizable organic
compounds based on samples from Puget Sound in Washington State. The AET approach is an
3-13
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empirical data approach similar to the effects range approach. In the AET approach, dry weight
chemical concentrations and associated adverse biological effects data are used to determine the
dry weight concentration at which specific adverse effects would always be expected at a
statistically significant (P=0,05) level (U.S. EPA, 1992b). Several local and regional programs
in Washington State currently use the AET approach as the basis for level of concern
concentrations in Puget Sound (U.S. EPA, 1992b). For this study, the lowest AET values
reported for an adverse effect from Barrick et al. (1988) were selected as estimated sediment
chemistry screening values for the seven ionizable organic compounds.
3.2. Chemical-Specific Fate Score
The second component of the Sediment Hazard Score (SHS) is the FATE score. The
FATE score is the product of the air/water partitioning sub-factor (HLC score), sediment
adsorption sub-factor (KOC score), and biodegradation sub-factor (BIODEG score). The
potential for a chemical to accumulate in the underlying sediment after being released into the
water column depends greatly on site-specific characteristics such as sediment organic matter
content, temperature, suspended paniculate matter, and the lotic or lentic nature of the receiving
waterbody. The physical/chemical properties of the pollutants also affect their transport and
persistence in the aquatic environment. The chemicals of interest in the Point Source Inventory
differ widely in their physical/chemical properties. Some chemicals are very likely to partition
to and to persist in the sediment, some will likely volatilize, and others will rapidly degrade.
Therefore, a FATE score with sediment adsorption, air-water partitioning, and aqueous
degradation sub-factors was used. Three physical-chemical properties for organic sediment
contaminants were obtained for the chemicals in the inventory: the sediment adsorption
coefficient or K^., Henry's Law Constant (HLC), and the aerobic aqueous biodegradation half-
life.
The two transport sub-factors, air-water partitioning and sediment adsorption, are
represented by chemical-specific HLC and K^, values, respectively. These sub-factors were
treated in a manner similar to that used in the pesticide hazard rating system devised by Pait et
al. (1992) (i.e., individual HLC and K^ values were assigned scores ranging from 0. i to 1).
These values were then multiplied to produce a score that represents the likelihood of transport
to the sediment.
3-14
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The aqueous degradation sub-factor is represented by chemical-specific aerobic
biodegradation half-lives. Because the sediment hazard score was applied to annual release
amounts, the half-life was converted to an annual loss rate constant and multiplied by the
transport sub-factors value to arrive at the final FATE score.
Air-Water Partitioning Sub-factor
Henry's Law Constant (HLC) is the ratio of vapor pressure to solubility and is indicative
of the propensity of a chemical to volatilize from surface water (Lyman et al., 1982), The
larger the HLC, the more likely the chemical will volatilize. Lyman et al. (1982) state that a
chemical with an HLC less than 3 x 10"7 (atm-m3/mole) is essentially nonvolatile, and a chemical
with an HLC greater than 10~3 (atm-mVmole) will volatilize rapidly from surface water. HLC
scores were calculated according to the following steps:
1. All values > 10~3 were assigned a score of 0.1.
2. All values < 3 x 10"7 were assigned a score of 1.0.
3. All other values were assigned a score using Equation 9 to evenly distribute
scores across the range of values:
HLC,
logger3) -
"*" log(10-3) - log(3 x l
-------
correlated with solubility and fairly well correlated with BCF. KOC scores were calculated
according to the following steps:
1. All values > 106 are assigned a score of 1.0.
2. All values < 102 are assigned a score of 0.1.
3. All other values are assigned a score using Equation 10 to evenly
distribute scores across the range of values:
KOC
score
logCiO6) - logCIO2)
* 0.9
Equation (10)
where:
KOCKore = Sediment adsorption sub-factor; and
= Organic carbon-water partition coefficient (L/kg).
Aqueous Biodegmdation Sub-factor
Although many physical and chemicals processes can contribute to degradation (e.g.,
hydrolysis, photolysis, biological degradation), aerobic biodegradation half-life was selected as
the sole indicator of environmental persistence of a chemical released to the water column.
Ignoring other removal mechanisms is a conservative approach because it can only over- rather
than under- estimate a chemical's persistence potential. Aerobic aqueous biodegradation half-
lives are empirically-derived time periods when half of a chemical load released to water is
degraded by microbial action in the presence of oxygen. Although the degradation products may
be equally or even more toxic than the parent, evaluation of chemical metabolites was not
considered in the hazard analysis. Aerobic biodegradation half-lives for the current set of
potential sediment contaminants range from 4 hours to 16 years. Half-lives in days were
converted to loss rate constants in (years'1) using the following equation:
• 3-16
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. _
A
_ ln(2) * 365
^ Equation (11)
f2
where:
X = Loss rate constant (year)"1;
ln(2) = Natural log of 2;
tw = Aqueous aerobic biodegradation half-life (days); and
365 — Conversion factor (days per year).
Because other factors, such as deep burial, may become important over time, chemicals with
reported half-lives greater than seven years were assigned a half-life of seven years. This results
in the largest BIODEG score of 10. The BIODEG score was calculated by taking the inverse
of the loss rate constant so that more persistent compounds would have higher values:
BIODEGxort = - Equation (12)
The FATE Score was calculated by combining the HLC, KOC, and BIODEG scores
according the following formula:
= (BIODEGK
-------
Therefore, metals were assigned a KOC score of 0.5, representing the midpoint of all possible
values.
3.3. Sample Calculations jn^ Sensitivity Analysis
The overall general equation for the SHS is:
SHS = TOXSCORE * FATESCORE (Equation 14)
where:
TOXSCORE = SCV-1
FATESCORE = KOCwore * HLCKOre * BIODEG^
SHS = Sediment hazard score (unitless);
SCV = Estimated sediment chemistry screening value (unitless;
based on values in units of mg/kg);
KOC^ore = Sediment adsorption sub-factor (unitless);
HLCKore = Air-water partitioning sub-factor (unitless); and
= Aqueous biodegradation sub-factor (unitless).
The function of the estimated sediment chemistry screening value in the denominator of
the SHS is to increase or decrease the HAZREL score relative to the annual chemical load
(ACL) based on the toxicity exhibited by the chemical. Ignoring the effects of the FATE score
components, a chemical with an estimated sediment chemistry screening value less than 1 mg/kg
has a SHS greater than 1, and higher HAZREL scores than ACLs. On the other hand, a
chemical with an estimated sediment chemistry screening value greater than 1 mg/kg has a SHS
less than 1, and lower HAZREL scores than ACLs. The magnitude of the effect on HAZREL
is in direct proportion to the magnitude of the estimated sediment chemistry screening value
versus a value of 1 mg/kg. The "standard" of 1 mg/kg is arbitrary and does not have any
physical or biochemical significance.
The function of the BIODEG score is to adjust the HAZREL score relative to the ACL
based on a chemical's persistence in the aquatic environment. Half-life values in days were
converted to a loss rate constant in (years)"1 to be consistent with the ACL units of kg/year. The
BIODEG score, which is the inverse annual loss rate constant, has the mathematical effect of
converting an annual surface water load to a steady-state mass of chemical in the water column.
Chemicals with a half-life greater than 253 days [ln(2) * 365 (days/yr)] have a BIODEG score
3-18
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greater than 1 that increases the HAZREL score. This indicates that the steady-state mass is
greater than the annual load (i.e., net accumulation). Conversely, chemicals with a half-life less
than 253 days have a BIODEG score less than 1 that decreases the HAZREL score. This
indicates that the steady-state mass is less than the annual load (i.e., net loss). The magnitude
of the effect on HAZREL is in direct proportion to the magnitude of the half-life versus a value
of 253.
The functions of the KOC score and HLC score are to decrease the HAZREL depending
on the chemical's propensity to partition to sediment or volatilize from the water column. If a
chemical is hydrophilic and has little propensity to bind to sediment, then the HAZREL score
will decrease by as much as one order of magnitude. Likewise, if a chemical has a strong
tendency to volatilize, then the HAZREL score will also decrease by as much as one order of
magnitude. This relatively smaller adjustment was made because of the many mitigating site-
specific factors that affect inter-media partitioning.
The estimated sediment chemistry screening values (SCVs) and ACLs for the chemicals
of concern in this analysis vary over more orders of magnitude than do biodegradation half-lives,
KOC scores, and HLC scores. Therefore, HAZREL scores are primarily driven by ACL and
chemical toxicity.
The specific calculation of the estimated sediment chemistry screening value and FATE
score sub-factors depends on the type of chemical (i.e., metal, non-ionic organic, ionizable
organic), the magnitude of the HLC and K^., and whether the threshold water concentration is
based on protection of human health or aquatic life if the estimated sediment chemistry screening
value is calculated using the equilibrium partitioning approach. Sample SHS calculations are
provided in Figures 2, 3, 4, and 5 to show the specific calculations for the various SCV
estimation methods used for toxic effect types: acenaphthene (aquatic life protection; EqP),
cadmium (aquatic life protection; ER-M), 1,2,3,4-tetrachlorobenzene (human health protection
against systemic effects; EqP), and tetrachloromethane (human health protection against
carcinogenic effects; EqP).
The sensitivity of the parameters used in SHS calculation, with the exception of K^ are
depicted in Figure 6. Note, the x-axis labels represent the factor by which the original values
are multiplied (i.e., the effect of doubling a given parameter on the SHS is read from the point
3-19
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Figure 2, Sample Sediment Hazard Score Calculation for Acenaphthene
(for the protection of aquatic life)
SHS =
FCVAL * 1,000 * KK * % OC
log(10-3) - log(tfLC)
logOO"3) - log(3 JT 10~7)
- logdO2)
log(106)
* 0.9 •»• 0.1 *
ln(2) * 365
SHS
SQC
FCVAL
1,000 =
KQC
%OC
HLC
ln(2)
t'71
365
= Sediment hazard score
= Sediment quality criteria (mg/kg)
= Freshwater chronic aquatic toxicity value (ug/L)
Conversion factor (ug/mg)
= Organic Carbon-Water Partition Coefficient (L/kg)
= Percent organic carbon in sediment (0.01)
= Henry's Law Constant (atm-mVmole)
= Natural log of 2
= Aqueous aerobic biodegradation half-life (days)
= Conversion factor (days/year)
0.047
130
23.00
5,823
2E-4
102
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Figure 3. Sample Sediment Hazard Score Calculation for Cadmium
(for the protection of aquatic life)
SHS =
—i—1 * [ 1 ] * [ 0.5 ] * ( 10
ER-M\ l J l J l
SHS
ER-M
Sediment hazard score
Effects range-median (mg/kg)
0.56
9
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Figure 4. Sample Sediment Hazard Score Calculation for l,2,3»4-Tetrachlorobenzene
(for the protection of human health against systemic effects)
SHS =
BW
* BCF
* % OC
0.1
- log(K)2)
logdO6) - logdO2)
* 0.9 + 0.1
ln(2) * 365
SHS
RfD
BCF
'fish
BW
KOC
%oc
HLC
ln(2)
t»
365
Sediment hazard score
Reference dose (mg/kg-day)
Bioconcentration factor (L/kg)
Daily ingestion rate of fish (0.0065 kg/day)
Body weight (70 kg)
Organic Carbon-Water Partition Coefficient (L/kg)
Percent organic carbon in sediment (0,01)
Henry's Law Constant (atm-m3/mole)
Natural log of 2
Aqueous aerobic biodegradation half-life (days)
Conversion factor (days/year)
0.050
0.0003
1125
33,272
3E-3
180
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Figure 5. Sample Sediment Hazard Score Calculation for Tetrachloromethane
(for the protection of human health against carcinogenic effects)
SHS =
1
BW * Risk level
SF * /M * BCF
^ * % OC
0.1 ]
logao2)
logOO6) - logOO2)
* 0.9 + 0.1
ta(2) * 365
SHS
SF
Risk level
BCF
IB*
BW
K.,
%OC
HLC
ln(2)
t*
365
Sediment hazard score
Cancer potency slope factor (mg/kg-day)"1 =
Excess cancer cases (10"6)
Bioconcentration factor (L/kg)
Daily ingestion rate of fish (0.0065 kg/day)
Body weight (70 kg)
Organic Carbon-Water Partition Coefficient (L/kg)
Percent organic carbon in sediment (0.01)
Henry's Law Constant (atm-mVmole)
Natural log of 2
Aqueous aerobic biodegradation half-life (days)
Conversion factor (days/year)
0.13
1.5
18.75
566
3E-2
360
3-23
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Figure 6
Sediment Hazard Score (SHS)
Parameter Sensitivity
Freshwater Chronic Aquatic Toxicity Value
OC
RfD
Body Weight
Cancer Risk Level
Henry's Law Constant
BCF
Fish Ingestion Rate
Cancer Slope Factor
Biodeg. Half-Life
0.1
0.5 I 2
Parameter Change
10
3-24
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labeled "2" on the x-axis). Likewise, the y-axis labels represent the change in SHS values
resulting from altering input parameters. For example, if the percent OC is halved ("0.5" on
the x-axis), the SHS would be doubled ("2" on the y-axis). The sensitivity of K^. is depicted
in Figure 7 in three parts: one for the effect based on KOC score (increase in K^. means greater
propensity to partition to sediment and higher SHS), one for the effect based on the equilibrium
partitioning approach (increase in K^. means less mass in the bioavailable dissolved fraction or
interstitial water and lower SHS), and one for the overall K^ effect. As K^. increases, there
is a lower relative concentration expected in pore water.
Most of the parameters used in SHS calculation have a fair amount of uncertainty
associated with their values. For example, human health reference doses have uncertainty
spanning perhaps an order of magnitude or greater (U.S. EPA, 1993J). When multiplied, the
overall uncertainty in the SHS precludes their use in analyses that require a high degree of
accuracy. However, this level of uncertainty is acceptable for meeting the objective of
performing a screening level hazard analysis.
3-25
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Figure 7
Sediment Hazard Score (SHS)
Koc Sensitivity
W)
e
«J
-C
U l
00
ffi
CO
0.5
0.3
0.2
0.1
0.1
i
Koc in Equilibrium Partitioning Calculation]
Koc in Koc Score Calculation I
0.2 0.3
0.5 1 23
Koc Change
Koc = Organic Carbon-Water Partition Coefficient
10
3-26
-------
4.0. RESULTS OF SCREENING-LEVEL HAZARD ANALYSES
The screening-level hazard analysis of Point Source Inventory data for 1992 may be used
as a tool for evaluating general patterns of releases of sediment contaminants based on chemical
classes, geographic regions, and industrial categories. It does not necessarily indicate where
contaminated sediment problems have occurred and who is responsible. The answers to these
and other questions may be found when the release data is compared to NSI data. This activity
is currently ongoing.
This section describes how the Point Source Inventory data were prepared for the hazard
analysis and highlights the results by chemical, geographic area of release, and industrial
category. Tables and figures of summary information are presented within the body of the text.
Longer tables that contain more detailed information are presented in appendices. Four sets of
loading data are available for analysis of sediment hazard potential: 1992 TRI data and three
versions of 1992 PCS data (based on different treatment of detection limits). Most tables and
figures in this section present the results for each set of loads separately. However, the detailed
data in Appendices B and C are based on a combined set of TRI and PCS loads (with values
below detection set to half the detection limit). Appendix B contains listings of watersheds
(defined by 8-digit USGS cataloging units) sorted according to HAZREL scores. Appendix C
contains detailed information on chemicals associated with industrial categories, and the industrial
categories with the highest HAZREL scores in each EPA Region and State. Although some
overlap and subsequent double-counting most likely occurred when combining PCS and TRI data,
the combined data represent a comprehensive set of point source chemical loading information.
Some overlap may have occurred for records of direct surface water releases; overlap may also
have occurred between POTW transfer records in TRI, and POTW discharge records in PCS.
Overlap was probably greatest for metals and chlorinated aliphatic organic compounds (e.g.,
triehloromethane) that are included in TRI and are also frequently regulated in NPDES permits.
4.1. Preparation of Data for Hazard Analysis
The first step in conducting the screening level hazard analysis was to qualitatively
examine the Point Source Inventory data for validity and prepare the data for analysis. Some of
the original 324 potential sediment contaminants were excluded from the hazard analysis because
PCS and TRI data were unavailable or HAZREL scores could not be calculated. Fifty-eight (58)
chemicals did not have records of surface water releases or POTW transfers in 1992 from either
4-1
-------
TRI or PCS. In addition, 57 chemicals did not have sufficient data available to calculate a
sediment hazard score. This group of 57 includes 39 inorganic chemicals without effects-range
data (e.g., beryllium), 9 organic chemicals without K^ values or toxicity data (e.g., toluene
diisocyanate), 6 compound names that represent groups of chemicals whose properties may or
may not be similar (e.g., dichlorobenzenes), and 3 chemicals with very large K^ values relative
to toxicity that lead to unreasonably high equilibrium partitioning estimated sediment chemistry
screening values (e.g., di-n-octyl phthalate with an EqP [1 percent OC] value of 0.44 kg/kg
[parts per part]). An additional 77 chemicals were excluded because their log K^, values are
less than 2 and/or they have alcohol or acid functional groups (e.g., acetone). These chemicals
may exhibit polarity and, therefore, are poor candidates for estimated sediment chemistry
screening value calculation using equilibrium partitioning (and none had AET values available).
Furthermore, chemicals with low K^ values would not be expected to accumulate in the
sediment. Lastly, PCS records of 14 additional chemicals, such as malathion and dieldrin,
whose effluent concentrations never exceed their detection limit were also excluded because there
was no evidence that these chemicals were released from any point source in the United States
in 1992. The original list of 324 was thus reduced to a list of 118 chemicals. Table A2 in
Appendix A contains a complete list of the 324 potential sediment contaminants, along with
codes identifying the reason for exclusion from the hazard analysis.
Although systematic checking for errors in the PCS and TRI data was not performed
when creating the inventory, an attempt was made to eliminate highly suspect records from the
hazard analysis. Several loading records from PCS were excluded from the hazard analysis
because they were highly suspect and would have a dramatic effect on the hazard analysis.
These records were identified first by sorting facilities by descending aggregate HAZREL score.
The distribution of HAZREL scores clearly indicated a natural break in the data at the one
million HAZREL mark, with 19 facilities exhibiting HAZREL scores more than an order of
magnitude greater the rest of the facilities. There appeared to be two underlying reasons for
these extremely high HAZREL scores. The first was the presence of individual chemical
loading records obviously in error (such as a release of several hundred thousand kilograms per
year of dioxin). Five such records from five separate facilities were excluded. The second was
chemical loads derived by applying half detection limit values to facilities with very large flows.
This resulted in calculated chemical loading amounts that were, in many instances, several orders
of magnitude greater than the next highest record outside of the group of 19. Because these
records represent loadings that may not have occurred, all records from the remaining 14
facilities were excluded.
4-2
-------
Over 22,000 individual records of direct or indirect pollutant releases to surface water
from point sources were examined in the screening-level hazard analysis for their potential to
cause sediment contamination. Releases of 118 different chemicals including metals, halogenated
straight chain (aliphatic) and aromatic organics compounds, organic compounds containing
nitrogen or sulfur or phosphorus, pesticides, polynuclear aromatic hydrocarbons (PAHs),
polychlorinated biphenyls (PCBs), and other organic compounds were analyzed. The 1992 TRI
data have release records for 67 of these chemicals, and 1992 PCS data have release records for
102 of these chemicals. Direct releases from 2,584 facilities classified as major permittees in
PCS totalled 15,3 million kilograms per year (KGY) in 1992, when values below detection were
set to half the detection limit. Direct releases from these same facilities were estimated to be 14
million KGY in 1992 when values below the detection limit were set to zero. From 1992 TRI
data, direct releases and transfers to POTWs (multiplied by 0.25 to account for removal during
treatment) from 3,218 manufacturing facilities totalled 1.3 million KGY. Facilities with chemical
release records in PCS and/or TRI were located in all 50 States, the District of Columbia, Puerto
Rico, and the Virgin Islands, Approximately 930 individual watersheds, defined by USGS 8-digit
cataloging units, receive loads of potential sediment contaminants. Individual facilities are
classified into 45 distinct industrial categories. These categories represent a broad range of
activities (e.g., POTWs, chemical manufacturers, textile mills, coal mines, etc.).
4.2. Analysis By Chemical
Table 1 presents the raw loads and HAZREL scores for each of the 67 chemicals included
in the hazard analysis for TRI data. The hazard score (i.e., FATE times TOX score) and the
number of facilities reporting surface water release or POTW transfer for each chemical are also
included in Table 1. Based on TRI data, hexachlorobenzene and ethylene dibromide have the
largest aggregate HAZREL scores, despite being reported by only a few facilities. Table 2 shows
the corresponding information for the 102 chemicals PCS chemicals analyzed. Based on PCS
data using half detection limit, toxaphene, hexachlorobenzene, and silver have the largest
aggregate HAZREL scores. Based on PCS data, these same chemicals have the largest aggregate
HAZREL scores when using zero for values reported as below the detection limit. Table 3
shows the results by chemical for the combined TRI-PCS data (PCS data with values below
detection set to half the detection limit). Several chemicals have large aggregate national raw
loads and are released from a large number of facilities (i.e., nickel, zinc, copper). Other
chemicals (e.g., chlordane and heptachlor) appear to represent a few isolated potential problems.
4-3
-------
Table 1
Analysis of TRI Data by Chemical
Sorted by HAZREL Score
Class
Chemical Name
Num. of
Facilities
Sediment
Hazard
Score
Raw Load
(kg/yr)
HAZREL
Score
Halogenated
Halogenated
Pesticide
Malogenated
PAH
Halogcnated
Organic (N,S,P)
Pesticide
Pesticide
Metal
Hfalogenated
Halogenated
Halogenated
Organic (N,S,P)
Halogenated
Halogenated
Halogenated
Hfalogenated
Metal
Organic (N,S,P)
Metal
Metal
Metal
Organic (C.H.O)
Metal
Metal
Metal
Metal
Pesticide
Halogenated
Pesticide
Halogenated
Halogenated
Organic (C,H,O)
Organic (C.H.O)
OrgBnie (N,S,P)
Organic (C,H,O)
Pesticide
Halogenated
Organic (N,S,P)
Hexachloro benzene
Ethylene dibromide
Chlordane
Dichloropropane, 1,2-
Anthracene
Trichloromethane
Dichlorobenzidine, 3,3'-
Heptachlor
Carbaiyl \ Sevin
Nickel
Benzyl chloride
Pentachlorophenol
Tetrachloroethane, 1,1,2,2-
Qu incline
Tetmchloromethane
Trichloroethane, 1,1,2-
Dichloroethene, 1,1-
Trichloroethene
Antimony
Dinitrotoluene, 2,4-
Chromium
Zinc
Silver
Benzene
Mercury
Copper
Lead
Cadmium
Methoxychlor
Dichloro benzene, 1,4-
BHC, gamma- \ Lindane
Trichloroethane, 1,1,1-
Trichlorobenzene, 1,2,4-
Diethyl phthalate
Dimethylphenol, 2,4-
Carbon disulfide
Toluene
Trifluralin \ Treflan
Tetrachloroethene
Parathion ethyl
4
3
1
10
19
150
3
1
3
656
14
26
8
6
33
9
8
106
42
3
553
138
29
203
16
1036
299
L 30
1
7
1
323
29
30
6
23
569
6
85
1
5.4E+02
6.1E+02
1.4E+03
3.3E+00
1.5E-MH
1.6E-02
1.4E+02
4.3E+02
5.2E+02
l.OE-01
LOE+00
1.9E+00
2.2E+00
3.1E+01
1.5E+00
3.1E+00
2.2E+00
1.1E-01
2.0E-01
1.8E+01
3.4E-02
1.9E-02
2.3E+00
8.8E-03
3.8E-J-00
1.3E-02
4.5E-02
5.6E-01
1.4E+02
L6E-01
2.2E+02
5.9E-03
5.0E-03
1.6E-03
1.4E-01
1.9E-03
4.8E-04
4.0E-01
3.1E-03
1.9E+01
104
48
10
2,919
535
359,641
29
8
7
34,932
2,879
1,520
1,176
64
1,22?
605
617
11,595
4,891
48
23,720
39,433
274
58,709
122
35,022
8,815
573
2
1,098
1
19,366
21,205
54,011
619
42,388
149,794
135
17,248
2
5.6E+04
2.9E+04
1.4E+04
9.5E+03
7.8E+03
5.9E+03
4.2E+03
3.5E+03
3.5E+03
3.5E+03
2.9E+03
2.8E+03
2.6E-4-03
2.0E+03
1.9E+03
1.9E+03
1.4E+03
L3E+03
9.8E+02
8.5E+02
8.2E-4-02
7.3E+02
6.2E+02
5.1E+02
4.7E+02
4JE+02
4.0E+02
3.2E+02
3.2E+02
1.8E+02
1.2E+02
1.1E+02
1.1E+02
8.5E+01
8.4E+01
8.2E4-01
7.1E+01
5.4E+01
5.3E+01
4.4E+01
4-4
-------
Table 1, continued
Analysis of TRI Data by Chemical
Sorted by HAZREL Score
Class
Chemical Name
Num. of
Facilities
Sediment
Hazard
Score
Raw Load
Mill.
HAZREL
Score
Metal
Organic (C,H,O)
Organic (C,H,O)
Halogenated
PAH
Halogenated
PAH
Halogenated
Halogenated
Halogenated
Halogenated
Organic (N.S.P)
Organic (C.H.O)
Organic (C,H,O)
Organic (C.H.O)
Organic (C,H,O)
Halogenated
Organic (C,H,O)
Halogenated
Pesticide
Halogenated
Organic (C,H,O)
Pesticide
Organic (C,H,O)
Halogenated
Organic (C.H.O)
Organic (C,H,O)
Arsenic
Xylenes
Cyclohexane
Ethane, l,l,2-trichloro-l,2,2-
Biphenyl
Chlorobenzcnc
Naphthalene
Hexachlorobutadiene
Trimethylbenzene, 1,2,4-
Dichlorobcnzenc, 1,2-
Dichlorodifluoro methane
Oxydianiline, 4,4'-
Xylene, p-
Di-n-butyl phthalate
Xylene, o-
Styrene
TricWorofluoromethane
Xylene, m-
Hexachlorocyclopentadienc
TetracWorvinphos \ Gardona \ Stirofos
Dichloro benzene, 1,3-
Ethylbenzene
Pentachloronitrobenzcne \ Quintozene
Butyl benzyl phthalate
Hexachloroethane
Cumenc
Dibenzoturan
23
462
92
48
70
32
122
3
i_ 135
19
15
2
16
24
30
143
10
16
2
2
5
238
2
51
I
57
5
5.9E-02
2.1E-04
2.1E-03
6.4E-03
1.8E-04
1.3E-03
5.8E-04
L5E-02
5.1E-04
1.7E-03
4.9E-04
3.5E-02
4.3E-04
9.4E-04
4.3E-04
6.7E-05
1.6E-03
7.3E-05
1.3E-02
1.3E-01
1.2E-03
2.6E-05
1.6E-01
l.OE-04
9.3E-02
1.9E-05
4.9E-04
612
1 16,426
11,523
3,473
117,037
11,935
23,146
868
24,307
4,465
12,634
142
8,890
3,719
6,882
39,541
1,329
18,432
74
6
452
18,510
3
3,522
1
5,857
147
3.6E+01
2.5E+01
2.4E+01
2.2E+01
2.1E+01
1.6E+01
1.3E+01
1.3E+01
1.2E+01
7.6E-fOO
6.2E+00
S.OE+00
3.8E+00
3.5E+00
3.0E+00
2.6E+00
2.1E+00
r 1.3E+00
9.9E-01
7.5E-01
5.4E-01
4.8E-01
4.6E-01
3.5E-01
1.3E-01
1.1E-01
7.3E-02
4-5
-------
Table!
Analysis of PCS Data by Chemical
Sorted by HaffDet. Lima HAZKEL Score
Sediment Zero Dei. Limk
Num. of Hazard Raw Load HAZREL
Class Chemical Name Facilities Score (ka/vr) Score
Pesticide
Halogea*ted
Metal
PCB/Dk«in
Organic (N,S,P)
PCB/Dioxm
Metal
Mcul
Pesticide
Metal
Metal
Metal
Pesticide
Metal
Organic (C.H.O)
PCB/Dioxin
Pesticide
Metal
Metal
PCB/Dwrin
PCB/DSoxin
PCB/Dkwcm
PCB/Diowa
PCB/Dioxin
Pesticide
rlakjgenatcd
Metal
Pesticide
PAH
Organic (N,S,P)
PAH
Pesticide
Pesticide
Pesticide
Halogen* ted
fiatagenaicd
HaJogeoated
Toxapheoe
Heuchlorobenzeae
Silver
Tetr»ctik>rodibenzo-p-dk>xjn, 2,3,7,8-
DkUorobenzidine, 3,3'-
PCB-1260
Mereuiy
Nickel
CUordane
Zinc
Arsenic
Cadmium
Aldnn
Chromium
Benzene
PCB-1242
DDT
Antimony
Copper
PCB-1221
PCB-1254
PCB-1248
PCB-1016
PCB-1232
Hcpuchlor
Dkhloropropanc, 1,2-
Lead
BHC, gamma- \ Lindaae
Pyrene
DinitrotoJuene, 2,4-
Anthracene
BHC, ilphj-
DDD
Mcthoxychior
PenlacUoropheool
TetracUoroethane, 1,1,2,2-
TetnchioRxueiaane
35
123
657
22
18
10
750
1069
30
1750
484
966
11
1247
215
12
33
190
1742
9
9
9
9
9
20
119
1325
30
113
91
102
18
8
6
38
17
136
6.6E+03
5.4E+02
2.3E+00
2.9E+07
1.4E+02
5.1E+03
3.8E+00
l.OErOl
1.4E-KB
1.9E-02
5.9E-02
5.6E-01
8.3E+02
3.4E-02
8.8E-03
5.1E+03
5.1E+02
2,OB4)t
1.3E-02
5.1E+03
S.1E+03
5.1E+03
5.1E4-03
5.1E+03
4.3E+02
3.3E+00
4.5E-fl2
2.2E+02
5.9E+00
1.8E+01
1.5E+01
3.0E+02
1.3E+03
1.4E+02
1.9E+00
2.2E+00
l.SB-t-00
26
553
89,659
0.002
3
0.2
30,808
1,335,754
12
4,727,465
979,936
71,346
42
887,613
3,368,500
1
0.5
29,075
1,248,746
0.2
0.2
0.2
0.2
0.2
23
5,035
282,805
54
202
209
163
13
5
6
1,834
1,975
1,728
1.7E+05
3.0E+05
2.0E+05
6.8E-t-04
4.5E+02
8.1E+02
1.2E+OS
1.3E+05
I.7B+M
8JE+04
5.8E+O4
4.0E+04
3.SE+04
3.1E-f04
3.0E+M
4.6E-K8
2.4E+02
5.8E+03
1.6E-I-0*
8.1E+02
8.1E+02
8.1E+02
8.1E+02
8.1E-I-02
9.7E+03
1.6E+04
1.3E+04
1.2E+04
1.2E-t-03
3.7E-t-03
2.4E+03
4.0E4-03
7.0E+03
8.5E+02
3.4E+03
4.4E+03
2.6S+03
HatfDet. Limit
Raw Load HAZREL
(kt/vr) Score
312
1,106
200,755
0.01
1,267
32
38,341
1,459,089
105
5,061,169
1,047,514
109,995
60
958,101
3,407,405
5
47
112,598
1,494,903
4
4
4
4
4
42
5j428
380,942
77
2,554
762
779
34
8
61
2,841
1,990
2,61$
2.0E+06
6.0E-t-05
4.6E+05
3.8E+05
1.8E+05
1.6B+05
1.5E+05
1.5E+05
1.5E+05
9.4E+04
6.2E+04
6.1E+04
4.9E+04
3.3E+04
3.0E+04
2.SE+04
2.4E+04
2JE+04
1.9E4-04
1.9E+04
1.9E+04
1.9E+04
.9E-4-04
.9B+04
.8E+04
.8E+04
.7E+-04
.7E+0*
.5E4-04
.4E+04
.1E+04
.OE+04
9.7B+03
8.5E+03
S.3E+03
4.4E+03
4.0B+03
Full Del. Limit
Raw Load HAZREL
(kj>/vr) Score
598
1,659
311,851
0.02
2,532
64
45,873
1,582,424
198
5.394.872J
1,115,092
148,644
77
1,028,588
3,446,310
9
93
196,120
1,741,059
7
7
7
7
7
62
5,820
479,077
100
4,905
1,315
1,395
54
10
116
3,848
2,004
3,508
3.9E+06
9.0E-1-05
7.1E4-05
6.9E+05
3.6E+OS
3.3E+05
1.8E+05
1.6E+05
2.7E+05
l.OE+05
6.6E+04
8.3E+04
6.4E+04
3.5E+04
3.0E+04
4.5E+04
4.7E+04
3.9E+04
2.2E+04
3.7E+04
3.7E+04
3.7E+04
3.78+04
3.7B4-04
2.7E+04
1.9E+04
2.2E-I-04
2.2E+04
2.9E+04
2.4E+04
2.0E+04
1.6E-1-04
1.2E+04
1.6E+04
7.2E+03
4.4E-MB
5.4E+03
-------
Table 2, continued
Analysis of PCS Data by Chemical
Sorted by Half Del. Limit HAZREL Score
Sediment Zero Del. Limit
Num. of Hazard Raw Load HAZREL
Class Chemical Name Facilities Score (kg/yr) Score
HategeojiSed
Hdogetuted
PAH
PAH
Kilogeaaled
Pesticide
Hilogenited
PAH
Ha Jog anted
PCB/Dkncio
Pesticide
Pesticide
Pesticide
Halogetuted
PAH
HilojCTUtcd
PAH
Pesticide
Organic (C,H,O)
Halogenated
PAH
Hatogenaied
Hxlogaiated
Pesticide
Pesticide
PAH
PAH
Organic (C.H.O)
PAH
PAH
Pesticide
Halogeoated
Halogeaated
Halogeoited
Organic (C.H.O)
PAH
Pesticide
DicUoroetbaK, 1,1-
TricUoroettume, 1,1,2-
BeazoOOfluonmthenc
Benzo(a)antiinceae
Trichlorwnethtne
Mircx \ Decblotane
Ethyfeae dibrooMde
Benzo(a)pyrene
DibromochJoronxlhMie
Telr»chlorod)bcnz<>fursn, 2,3,7,8-
Diizinoc \ Spectncide
Endowlfan fulfatc
DDE
TrichlorocthoK
Ftieis*stliiieiie
Dkhkirc*«izeoc, 1,4-
NapMhafene
BHC, technical grade
Drodhylphctio], 2,4-
Tribroroocnctlunc
Ftuonmthcne
Bromodichloromrthme
Heuchloroethaiie
Endrin
Eodosulfaa mixed isoraen
Benzo0>)fluonnlfaene
Ftuortoc
Xyknet
ChryKoc
Acetuiphlheoc
Fonofo«
TetracUoroettieae
Hexachlorobutadene
TnchloroahJUK, 1,1,1-
Totuenc
lndeno(l,2,3-<;d)pyrm«
Pbor«tc \ Fumophos \ TUmet
135
127
103
106
319
3
2
124
30
7
1
7
9
202
115
120
159
g
102
n
118
41
109
36
12
102
109
48
103
109
1
209
110
191
248
14
1
2.2E+00
3.1E+00
2.0B+00
1.4E+00
1.6E-02
2.6E+03
6.1E+02
1.6E-02
1.5E+00
3.1E+05
4.0E+02
2.1E+02
2.8E+02
1.1E-01
1.5E-01
1.6E-01
5.8E-04
l.lE-t-02
1.4&01
2.2&02
1.2E-01
7.7E-02
9.3E-02
8,9E-fll
7.7E+00
7.7E-02
4.1E-02
2.1E-04
6.4E4G
4.7E-02
1.4E+00
3.1E-03
1.5E-02
5.9E-03
4JE-04
3.5E-01
4.7E+00
522
313
195
243
83,779
0.2
1
256
133
0.003
2
1
0.003
1,785
245
381
479,701
0.1
163
5,385
232
810
364
1
7
212
210
243,148
197
1M
26
9,132
1,430
2,437
23,612
1
2
1.1E-HB
9.6E+02
4.0E+02
3.5E+02
1.4E+03
6.4E+02
8.2E+02
4.1E+00
2.0E+02
8.3E+02
7.3E+02
1.2E+02
8.3E-01
2.0E+02
3.6E+01
6.1E+01
2.8E+02
8.6E+00
2.2E+01
1.2E+02
2.8E+01
6.3E+01
3.4E+01
5.1E-01
5.4E+01
1.6E+01
8.7E+00
5.1E+01
1.3E+01
8.6E+00
3.7E-I-01
2JE+01
2.2E+01
1.4E+01
1.1E-MH
3.1E-01
l.OE+01
Half Det. Limit
Raw Load HAZREL
-------
Table 2, continued
Analysis of PCS Data by Chemical
Sorted by HatfDet. Limit HAZREL Score
Sediment Zero Det. Limit
Num. of Hazard Raw Load HAZREL
Class Chemical Name Facilities Score (kjt/yr) Score
Organic (C,H,0)
HalogenMed
Halogenaled
Kalogoutcd
Organic (N,S,P)
Hikij mated
Pesticide
Organic (N,S,P)
Pesticide
Hilogamitcd
Pesticide
Organic (C,H,O)
Organic (N,S,P)
Halogenated
Hikgoutod
Organic (C,H,O)
PAH
PAH
Halogenated
[falogenated
PAH
Pesticide
Organic (C.H.O)
Halogenated
Pesticide
Organic (C,H,O)
Organic (C,H,O)
Pesticide
Di-o-butyl pbttulate
DichJorodifluoromcthaDe
TricUorofluoromcthane
Trichkwobeazeue, 1,2,4-
NitnModipheaylamiM, N-
Dkhiorotieozene, 1,2-
Chtoipyrifoi \ Dunbm
Trinitrotoiumc
Terbufcn \ Counter
TetncUorabenzene, 1,2,4,5-
Akchlor / Lux)
Diediyl phthjiUte
Carbon disulfidc
ChJorobenzene
DichloroiNnzene, 1,3-
Bthylbenzeoe
AcowphlhykiK
Djbcnzo(t,h)*nthnceoe
HouKhlorocycIopcotadicoc
Etfaaoe, l,l,2-trkhlofo-l,2,2-
Beozo^hi)perykDe
DCPA/Dtcthil
Styreoc
Dichloroettteae, tmu-1,2-
Butacblor
Butyl benzyl phthalite
Dibfnzofurin
Dkhlotprop
127
6
19
118
11
126
L U
4
1
9
1
If*
2
129
113
125
86
14
11
1
13
1
g
139
1
13
2
1
9.4E-0*
4.9E-0*
1.6E-03
S.OE-03
L3E-01
1.7B4B
5.4E-I-00
l.OErOl
1.1E+00
5.0E-02
3.7&03
1.6E-03
1.9E-03
1.3E-03
1.2&03
2.6B4JS
1.1&03
1.9E-02
1.3E-02
6.4&03
9,gE-03
4.4E-03
6.7&05
1.7E-Q5
l.SB-03
l.OB-0*
4.9&W
2.4E-01
580
15,130
3,574
395
10
632
1
21
2
7
499
321
836
488
244
37,123
212
I
7
59
1
33
133
827
18
150
3
0.004
5.5E-01
7.4E+00
5.6E+00
2.0B+00
1.3E+00
I.1E+00
3.0E+00
2.2E+OQ
2.4E+00
3.4E-01
1.8E4-00
5.0E-01
1.6E+00
6.6E-01
2.9&01
9.6E-01
2.4E-01
1.6E-02
9.4E-02
3.8E-01
8.5E-«5
1.5E-01
8.9E-03
1.4E-02
2.8E-02
l.SE-02
1.6E-03
l.OE-03
Half Det. Limit
Raw Load HAZREL
(kK/yr) Score
8,487
15,141
4,435
1,303
32
2,338
1
28
2
47
499
1,049
837
1,051
838
38,100
724
26
31
$9
30
33
605
2,284
18
175
3
0.005
8.0E+00
7.4E+00
7.0E+00
6JE+00
4.1E+00
4.0E+00
3.2E+00
2.9E+00
2.4E+00
2.4E4-00
1.8E-I-00
1.6E+00
1.6E+00
1.4E4-00
l.OE-fOO
9.8E-01
8.1E-01
4.9E-01
4.2E-01
3JE-01
2.9E-01
1.5E-01
4.0E-02
3.9E-02
2.8B4)2
1JE-02
1.7E-03
1.1E-03
FuU Det. Limh
Raw Load HAZREL
(k«/yr) Score
16,395
15,153
5,296
2,212
$4
4,044
1
35
2
88
499
1,778
837
1,614
1,433
39,077
1,237
51
55
59
59
33
1,077
3,740
18
200
3
0.01
l.SE+01
7.4E+00
8.3E4-00
1.1E+01
6,98+00
6.9E+00
3.4E+00
3.7E+00
2.4E+00
4.4E+00
1.8E+00
2.8E+00
I.6E-t-00
2.2E+00
I.TE-t-00
1.0E4-00
1.4E+00
9.6E-01
7.4E-01
3.8E-01
5.7E-01
I.5E-01
7.2E^)2
6.4E-02
2.8B02
2.0E-02
1.7E-03
1.2&fl3
oo
-------
Table 3
Analysis of Combined TRI-PCS Data by Chemical
Sorted by Combined HAZREL Score
Total Sediment TRI
Num. of Hazard Raw Load HAZREL
Class Chemical Name Facilities Score (kŁ/yr) Score
Pesticide
Kdogeaaled
Metal
KBfDmtm
Orgmic (N,S,P)
PCB/Dioxin
Pesticide
Metal
Metal
Metal
Metal
Metal
Pesticide
Metal
Oifuic (C.H.O)
Hakceaatod
Hikfoulcd
PCB/Dioxin
Pesticide
Metal
Pesticide
Metal
PAH
PCB/Dioxin
PCB/Dioxin
PCB/Dioxin
PCB/Dioxin
PCB/Dtoxin
Metal
Pesticide
PAH
Oiganic (N,S,P)
Pesticide
Pesticide
Pesticide
Hafceenated
Hatageaatcd
Toxipheiie
Hexachlorobenxeae
SUver
TetncUoradibeBZD-p-dioxin, 2,3,7,8-
DichJorobenzidioe, 3,3'-
PCB-1260
CUofdme
Nickd
Merciny
Zinc
Anenk
Cftdmiuas
Aldrin
dwiuimQi
BCSBCOC
EliiyleBe dibromsde
Diddoropropane, 1,2-
FCB-1242
PDT
Antimony
Heptachlor
Copper
Anthr*ceac
PCS-1221
PCB-12S4
FCB-1248
PCB-10W
PCB-1232
Ixad
BHC, gamma- \ Lindaoc
Pyrtne
DinitlolohlCTK, 2,4-
BHC, .Iptu-
DDD
Mctboxychlor
PenUchJorophcool
Triddoramettuuie
35
127
686
22
21
10
31
1725
766
1888
507
9%
11
1800
418
5
129
12
33
232
21
277g
121
9
9
9
9
9
1624
31
113
94
18
8
7
64
469
6.6E+03
S.4E+02
2.3E+00
2.9E+07
1.4E4-02
5.1E+03
1.4E+03
l.OB-01
3.8E-I-00
1.9&«2
5.9E-02
5.6E-01
8.3E4-02
3.4E-02
8.8E-OJ
6,lE+{n
3.3E+00
5.1E+03
5.1E+02
2.0E-01
4.3E+02
1.3E-02
1.5E+01
SJE-t-OJ
5,lE-t-03
5.1E+03
5.1E4-03
5.1E-KB
4.5E-02
2.2E+02
5.9E-I-00
1.8E+01
3.0E+02
1.3E+03
1.4E+02
1.9E+00
1.6E-02
104
274
29
10
34,932
122
39,433
612
573
23,720
58^09
48
2,919
4,891
8
35,022
535
8,8 li1
1
48
2
1,520
359,641
5.6E+04
6.2E+02
4.2E+03
1.4E+04
3.5E+03
4.7E+02
7.3E+02
3.6E+01
3.2E-t-02
8.2E4-02
5.1E-KH
2.9E+04
9.5E4-03
9.8E+02
3.5E+03
4.5E-I-02
7.8E+03
4.0E+K
1.2E+02
8.5E+02
3.2E-I-02
2JE+03
5.9E-I-03
PCS (Half Det. Limit)
Raw Load HAZREL
ta/vr) Score
312
1,106
200,755
0.01
1,267
32
105
1,459,089
38,341
5,061,169
1,047,514
109,995
60
958,101
3,407,405
2
5,428
5
47
112,598
42
1,494,903
779
4
4
4
4
4
380,942
77
2,554
762
34
8
61
2,841
86,591
2.0E+06
6.0E+05
4.6E+05
3.8E+OS
l.SE+05
1.6E-I-05
1.5E+05
1J5E+OS
1.5E+05
9.4E+04
6.2E+04
6.1E-I-04
4.9E+04
3.3E+04
3.0E+04
l.OB+03
1.8E-I-04
2.SE+04
2.4E+04
2.3E+04
1.8E+04
1.9E-t-04
1.1E+04
1.9E+04
1.9E+04
1.9E+04
1.9E+04
1.9E+0*
1.7E+04
1.7E+04
1.5E+04
1.4E+04
l.OE+04
9.7E+03
8.5E+03
5.3E+03
1.4E+03
Combined Data
Raw Load HAZREL
(kz/yr) Score
312
1,210
201,029
0
1,297
32
US
1,494,021
31,463
5,100,602
1,048,126
110,568
60
981,820
3,466^15
SO
8,347
5
47
117,489
51
1,529,924
1,314
4
4
4
4
4
389,756
77
2,554
810
34
8
63
4,361
446,231
2.0E+06
6.5E+05
4.6E+05
3.8E+05
1.8E+OS
1.6E+05
1.6E+OS
l.SE+05
1.5E+05
9.4E+04
6.2E+04
6.1E+04
4.9E+04
3.4E+CM
3.0E+04
3.0E+04
2.7E+04
2.5E-1-04
2.4E+04
2.3E+0*
2.2E4-04
2.0E+04
1.9E+04
1.9E+04
1.9E4-04
1.9E+04
1.9E+04
1.9E+04
1.8E+04
1.7E+04
1.5E+04
1.4E+04
l.OE+04
9.7E+03
8.8E+03
8.1E+03
7.3E+03
-------
Table 3, continued
Analysis of Combined TRI-PCS Data by Chemical
Sorted by Combined HAZREL Score
Total Sediment TRI
Num. of Hazard Raw Load HAZREL
Class Chemical Name Facilities Score (k*/yr) Score
Halogcnilcd
Hilogeuued
H»log coated
Hitogenaierf
Pesticide
HUogeuted
Organic (N,S,P)
Halog coated
PAH
PAH
Pesticide
PAH
rtalojcnated
PCB/Diown
Pesticide
Pesticide
Pesticide
KaJogenated
PAH
PAH
Pesticide
Organic (C,H,O)
rfalogemtcd
Halogenatcd
rblogeoated
PAH
-laloj mated
rlajagenated
•btogetuted
Organic (C,H,O)
Organic (N,S,P)
Ofgmic (C,H,O)
Pesticide
Organic (C.H.O)
^raticide
PAH
PAH
Tetrachlorocthine, 1,1,2,2-
TetrachkmxDcthanc
DichJofoethene, 1,1-
TrichJoroethanc, 1,1,2-
Cartouyl \ Sevin
Benzyl chloride
Quinolme
Trichloroetbene
BeazoOOfluoranthene
Benzo(a)»nthracene
Mircx V DcchJoraoc
Bcnz
-------
Table 3, continued
Analysis of Combined TRI-PCS Data by Chemical
Sorted by Combined HAZREL Score
Total Sediment TRI
Num. of Hazard Raw Load HAZREL
Class Chemical Name Facilities Score (kft/fr) Score
Pesticide
PAH
Halogenated
Organic (N,S,P)
PAH
Pesticide
Organic (C,H,O)
Halogeoated
PAH
Hjdogcnitod
Halogenated
Halogenated
PAH
Halogenaled
Organic (C»H,O)
Pestkide
Hatogeaaled
Organic (N,S,P)
Organic
-------
Table 3, continued
Analysis of Combined TRI-PCS Data by Chemical
Sorted by Combined HAZREL Score
Total Sediment TRI
Num. of Hazard Raw Load HAZREL
Class Chemical Name Facilities Score (k*/yr) Score
Pesticide
Organic (C,H,O)
Oijunic (C.H.O)
Htlagtantcd
Pesticide
Petticide
DCPA/D*cih»l
Cumcoe
Dibcnzofurtn
DkUoroethene, inn*- 1,2-
BuUchJor
Dichkfprop
1
57
7
139
1
1
4.4E-Q3
1.9E-05
4.9E-04
I.7E-OS
1. 58-03
2.4E-OI
5,857
147
I.1E-01
7.3&
-------
It should be noted that a small number of very large release records often accounts for the
majority of the national total. Consequently, it is not appropriate to calculate an average facility
HAZREL score by dividing the total HAZREL score by the number of discharging facilities.
Aggregate raw loads and HAZREL scores for individual chemicals are grouped by
chemical class (e.g., inorganic elements and organics) to determine which types of chemicals
cause the greatest potential sediment hazard (Figures 8, 9, 10, 11, and 12). Organics chemicals
are subdivided into component classes because of the broad range of chemical behavior exhibited.
Classes of organic compounds are defined primarily by chemical structure and elemental
components, rather than by functional groups (e.g., alcohols, ethers, ketones) or industrial use
(e.g., solvent, reactant, anti-bacterial agent). Industrial use, as well as fate and toxicity properties,
often correspond well with chemical structure. Chemical class assignment is made in the
following order:
Metals:
PCB/dioxins:
PAHs:
Pesticides:
Organic (N,S,P):
Halogenated:
Organic (C,H,O):
This group comprises metal species that have effect range values described
in Section 2.1.1. and whose presence in water in significant quantities is
largely from anthropogenic sources.
This group includes 7 polyehlorinated biphenyls; 2,3,7,8-
tetrachlorodibenzo-p-dioxin; and 2,3,7,8-tetrachlorodibenzofuran. These
compounds are highly toxic, highly bioaccumulative, and highly persistent.
Records of point source releases come solely from PCS.
This group includes all polynuclear aromatic hydrocarbons, including those
that are halogenated.
This group includes chemicals that are usually large, complex, and
manufactured to be biological inhibitors.
This group has nitrogen, sulfur, or phosphate components that make their
function and chemical behavior distinct from other organic chemicals.
These chemicals may also be halogenated.
This group contains aliphatic, alicyclic, or aromatic chemicals that have
one or more chlorine, fluorine, bromine, or iodine constituents.
This group contains all remaining organic chemicals of interest. These
chemicals can be straight chain or branched aliphatics, 5 or 6 member
alicyclics, or aromatic compounds. All of these chemicals are composed
solely of carbon, hydrogen, and oxygen.
4-13
-------
Figure 8
Analysis of TRI Data by Chemical Class
Pesticide
Metal 11%
PAH 11%
Organic (N,S,P) 3%
Organic (C,H,O) 37%
Halogenated 38%
Raw Load (1.3 million kg/yr)
Pesticide 13% OlBanic (C.H.O) 1%
Metal 5%
PAH 5%
Organic (N.S.P) 4
Halogenated 72%
HAZREL (1.6B+5)
TRI data will be biased toward chemicals listed in
EPCRA section 313
4-14
-------
Figure 9
Analysis of PCS Data by Chemical Class (1)
Values Below Detection Set to Zero
Pesticide <1%
Metal 69%
Organic (C,H,O) 26%
Halogenated 1%
PAH 3%
PCB/Dioxin
-------
Figure 10
Analysis of PCS Data by Chemical Class (2)
Values Below Detection Set to Half Del. Limit
Pesticide <1%
lie (C,H,O) 25%
Meta
Raw Load (15.3 millionkg/yr)
Pesticide 47% 1
Metal 21%
Organic (C,H,O) 1%
Organic (N.S.P) 4%
Halogenated 13%
PAH 1%
PCB/Dioxin 13%
HAZREL (4.9E+6)
PCS data will be biased toward chemicals most
frequently addressed in NPDES permits
4-16
-------
Figure 11
Analysis of PCS Data by Chemical Class (3)
Values Below Detection Set to Equal to Del. Limit
Pesticide <1%
Metal
Halogenated 1%
PAH 4%
PCB/Dioxin
-------
Figure 12
Analysis of TRI-PCS Data by Chemical Class
PCS Data Below Detection Set to HalfDet, Limit
Pesticide <1%
Metal 66%
Organic (C.H.O) 25%
Halogenated 4%
PAH 4%
PCB/Dioxin
-------
Figure 8 depicts raw loads and HAZREL scores by chemical class for TRI data. TRI data
show that halogenated organics and C,H,O organics each account for over a third of the raw load,
yet halogenated organics account for nearly three-quarters of the HAZREL score and other
organics represent only 1 percent of the HAZREL score. Figure 8 also shows the strong
sediment hazard potential of pesticides, which account for less than 1 percent of the raw load,
but 13 percent of the HAZREL. On the other hand, elements and PAH compounds both have
a greater percentage of the raw load (11 percent each) than the HAZREL score (5 percent each).
N,S,P organics have approximately the same contribution to total raw load (3 percent) and
HAZREL score (4 percent).
Figures 9, 10, and 11 depict raw loads and HAZREL scores by chemical class for the
three sets of PCS data. The major difference between TRI and PCS is dominance of metals as
a proportion of the total raw load (69 percent). The hazard potential relative to raw load
increases for pesticides and halogenated organics, and decreases for metals; C,H,O organics; and
PAHs. In addition, PCB/dioxins exhibit a strong hazard potential (6 percent of the total) relative
to raw load (less than 1 percent of the total). The hazard potential of PAH compounds is
minimized in these analyses because the chemicals that comprise this class have very large K^,
values, and the equilibrium partitioning model thus assumes they will be tightly bound to solid
particles and, therefore, not be bioavailable to a great extent.
Figures 9, 10, and 11 also show that while chemical class proportions of total raw load
remain fairly constant for each treatment of values below detection, the proportions of total
HAZREL score change greatly. In particular, the importance of pesticides; PCB/dioxins; and
N,S,P organics increases at the expense of metals and halogenated organics when values below
the detection limit are set to half the detection limit or set equal to the detection limit. This is
because pesticides; PCB/dioxins; and N,S,P organics tend to have large sediment hazard scores
are more likely to be below detection than the constituents of other groups. It is interesting to
note that when values below detection are set to half the detection limit, the raw load increases
nearly 10 percent from 14.0 million (kg/yr) to 15.3 million (kg.yr), whereas the total HAZREL
score increases 250 percent from 1.4E+6 to 4.9E+6, This clearly indicates the importance of data
derived from nondetections. Figure 12 depicts raw loads and HAZREL scores by chemical class
for the combined TRI-PCS data. The distribution of combined TRI-PCS HAZREL scores differs
only slightly from the distribution based on PCS HAZREL scores alone because PCS release data
and HAZREL score accounts for the vast majority of combined TRI-PCS releases (92 percent)
and HAZREL score (97 percent).
4-19
-------
4.3. Analysis By Geographic Area
To evaluate geographic areas of concern, HAZREL scores are grouped by United States
Geological Survey (USGS) hydrologic unit codes. USGS assigns 8-digit hydrologic unit codes
to all watersheds in the United States. These hydrologic unit codes represent four levels of
organization: regions, subregions, accounting units, and cataloging units. The first two digits
represent the region. USGS divides the continental United States into 18 distinct hydrologic
regions based on river drainage. Figure 13 depicts the boundaries of each USGS region. Alaska,
Hawaii, and the Caribbean are regions 19, 20, and 21, respectively. Each region is divided into
as many as 30 subregions, but typically regions contain approximately 10 subregions. Subregions
are represented by the first 4 digits in the 8-digit code. Subregions can be further subdivided into
as many as four accounting units, represented by the first 6 digits of the 8-digit code.
Accounting units, in turn, can be subdivided into as many as 10 cataloging units, represented by
the full 8-digit code. For the purposes of this study, HAZREL scores are sorted geographically
according to USGS region (2-digit code), accounting unit (6-digit code), and cataloging unit (8-
digit code).
In general, areas that are population centers and are associated with industrial activity
receive the greatest amount of potential sediment contaminants from point sources. Table 4
presents HAZREL scores summed by USGS region, based on TRI data. The Lower Mississippi
accounts for more than two-thirds of the total national HAZREL score. Loading records of three
chemicals from three facilities comprise 80 percent of the HAZREL score in the Lower
Mississippi: a release of 86 kilograms of hexachlorobenzene from an inorganic chemical
manufacturer into the Lower Calcasieu in Louisiana, a release of 45 kilograms of ethylene
dibromide from a petroleum refinery to Bayou Sara-Thompson in Louisiana, and a POTW
transfer of 39 kilograms of chlordane from an organic chemical producer into the Wolf in
Tennessee. However, without these releases, the Lower Mississippi would still have the largest
percentage of HAZREL (30 percent). The Great Lakes and South Atlantic-Gulf regions also have
relatively large HAZREL scores. Regions with relatively low HAZREL scores include the Upper
Colorado, the Souris-Red-Rainy, and the Great Basin.
Tables 5, 6, and 7 present HAZREL score summed by USGS region, based on the three
sets of PCS data using different treatment of detection limits. California, the Lower Mississippi,
the Mid-Atlantic, and the Texas-Gulf have the highest HAZREL scores in the nation based on
PCS data. However, the relative proportions change depending on treatment of values below
4-20
-------
Figure 13
USGS Hydrologie Regions
to
New England 01
Ancansas-Red-White 11
South Atlantic-Gulf 03
Lower ^(l^sslsslppl 08
Texas-Gulf 12
Alaska 19
Hawaii 20
Caribbean 21
-------
Table 4
Analysis of TRI Data by USGS Regional Hydrologic Units
Hydrologic
Code
USGS
Region
Raw Load
(kg/yr)
HAZREL
Score
% Total
HAZREL
08
04
03
05
02
17
12
07
18
11
01
06
19
10
15
21
13
09
16
14
20
Lower Mississippi
Great Lakes
South Atlantic-Gulf
Ohio
Mid-Atlantic
Pacific Northwest
Texas-Gulf
Upper Mississippi
California
Arkansas-Red-White
New England
Tennessee
Alaska
Missouri
Lower Colorado
Caribbean
Rio Grande
Souris-Red-Rainy
Great Basin
Upper Colorado
Hawaii
Unassigned
69,721
86,047
240,773
78,072
205,628
113,783
96,552
96,573
88,180
27,567
68,587
54,218
36,843
22,595
3,086
27,118
2,965
1,913
7,639
953
454
60
1.1E+05
1.4E+04
1.2E+04
6.5E+03
4.6E+03
4.3E+03
4.0E+03
2.7E+03
1.3E+03
7.4E+02
6.5E+02
6.2E+02
6.0E+02
4.1E+02
2.6E+02
2.4E+02
1.2E+02
3.1E+01
2.3E+01
2.0E+00
L6E-01
4.5E-01
67%
9%
8%
4%
3%
3%
2%
2%
1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
TOTAL 1,329,326 1.6E+05
HAZREL indicates relative potential for sediment
contamination from active point sources.
HAZREL is extremely sensitive to individual releases of
highly toxic chemicals
(see discussion on page 4-42).
4-22
-------
Table 5
Analysis of PCS Data by USGS Regional Hydrologic Units (1)
Values Below Detection Set to Zero
Hydrologic
Code
USGS
Region
Raw Load
(kg/yr)
HAZREL
Score
% Total
HAZREL
08
12
18
02
03
01
05
11
04
06
07
10
13
21
17
09
15
19
16
14
20
Lower Mississippi
Texas-Gulf
California
Mid-Atlantic
South Atlantic-Gulf
New England
Ohio
Arkan sas-Red -White
Great Lakes
Tennessee
Upper Mississippi
Missouri
Rio Grande
Caribbean
Pacific Northwest
Souris-Red-Rainy
Lower Colorado
Alaska
Great Basin
Upper Colorado
Hawaii
Unassigned
445,746
141,166
679,818
1,055,065
6,612,554
1,298,834
1,316,945
263,299
643,898
864,850
214,731
111,979
102,760
107,992
70,493
______J>4j
l_ 23^49T
9,006
12,019
^_ 4,139
140
1,017
3.1E+05
2.0E+05
1.5E+05
1.4E+05
1.4E+05
1.1E+05
9.0E+04
7.9E+04
7.7E+04
6.1E+04
2.3E+04
9.7E+03
6.0E+03
3.6E+03
3.5E+03
3.5E+03
1.7E+03
l.OE+03
3.1E+02
1.5E+02
2.7E+00
2.1E+01
22%
14%
11%
10%
10%
8%
6%
6%
5%
4%
2%
1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
TOTAL 13,978,994 1.4E+06
HAZREL indicates relative potential for sediment
contamination from active point sources,
HAZREL is extremely sensitive to individual releases of
highly toxic chemicals
(see discussion on page 4-42).
4-23
-------
Table 6
Analysis of PCS Data by USGS Regional Hydrologic Units (2)
Values Below Detection Set to Half Detection Limit
Hydrologic
Code
USGS
Region
Raw Load
(kg/yr)
HAZREL
Score
% Total
HAZREL
18
02
08
04
12
03
11
01
05
06
07
10
21
13
17
09
15
16
19
14
20
California
Mid-Atlantic
Lower Mississippi
Great Lakes
Texas-Gulf
South Atlantic-Gulf
Arkansas-Red- White
New England
Ohio
Tennessee
Upper Mississippi
Missouri
Caribbean
Rio Grande
Pacific Northwest
Souris-Red-Rainy
Lower Colorado
Great Basin
Alaska
Upper Colorado
Hawaii
Unassigned
1,338,814
1,248,111
456,314
668,320
153,901
6,830,214
282,979
1,311,977
1,403,147
880,403
217,984
164,248
132,965
115,091
74,396
64
32,679
18,167
9,843
4,230
908
1,310
2.3E+06
5.4E+05
5.1E+05
4.3E+05
4.1E+05
2.0E+05
1.9E+05
1.2E+05
1.1E+05
9.3E+04
2.8E+04
1.4E+04
6.8E+03
6.8E+03
3.9E+03
3.5E+03
2.9E+03
1.5E+03
1.1E+03
1.6E+02
3.8E+01
5.6E+01
46%
11%
10%
9%
8%
4%
4%
2%
2%
2%
1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
TOTAL 15,346,066 4.9E+06
HAZREL indicates relative potential for sediment
contamination from active point sources.
HAZREL is extremely sensitive to individual releases of
highly toxic chemicals
(see discussion on page 4-42).
4-24
-------
Table 7
Analysis of PCS Data by USGS Regional Hydrologic Units (3)
Values Below Detection Set Equal to Detection Limit
Hydrologic
Code
USGS
Region
Raw Load
(kg/yr)
HAZREL
Score
% Total
HAZREL
18
02
04
08
12
11
03
05
06
01
07
10
21 j
13
17
15
09
16
19
14
20
California
Mid-Atlantic
Great Lakes
Lower Mississippi
Texas-Gulf
Arkansas-Red-White
South Atlantic-Gulf
Ohio
Tennessee
New England
Upper Mississippi
Missouri
Caribbean
Rio Grande
Pacific Northwest
Lower Colorado
Souris-Red-Rainy
Great Basin
Alaska
Upper Colorado
Hawaii
Unassigned
1,997,810
1,441,158
692,743
466,882
166,637
302,658
7,047,873
1,489,349
895,955
1,325,119
221,235
216,518
157,937
127,422
78,298
41,865 j
64
24,316
10,679
4,322
1^675
1,602
4.4E+06
9.3E+05
7.7E-f05
7.0E+05
6.3E+05
3.0E+05
2.7E+05
1.3E+05
1.2E+05
1.2E+05
3.2E+04
1.8E+04
l.OE+04
7.6E+03
4.4E+03
4.0E+03
3.5E+03
2.6E+03
1.3E+03
1.7E+02
7.3E+01
9.1E+01
52%
11%
9%
8%
7%
4%
3%
1%
1%
1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
TOTAL 16,710,517 8.5E+06
HAZREL indicates relative potential for sediment
contamination from active point sources.
HAZREL is extremely sensitive to individual releases of
highly toxic chemicals
(see discussion on page 4-42).
4-25
-------
detection. California accounts for 11 percent of the HAZREL score using zero for values below
detection, but accounts for 46 percent of the HAZREL score using half the detection limit for
these values. Likewise, the Great Lakes and Mid-Atlantic also increase in proportion of
HAZREL score when half the detection limit is assumed. In contrast, the Lower Mississippi,
Texas-Gulf, South Atlantic-Gulf, and New England regions all decrease in proportion of total
HAZREL when half the detection limit is used for non-detectable pollutants. Table 8 presents
the HAZREL score summed by USGS region, based on combined TRI-PCS data. The
distribution of combined TRI-PCS HAZREL scores differs only slightly from the distribution
based on PCS HAZREL scores alone because PCS release data and HAZREL score accounts for
the vast majority of combined TRI-PCS releases (92 percent) and HAZREL score (97 percent)
To graphically depict the distribution of point source releases of sediment contaminants
in the United States on a smaller scale, HAZREL scores were summed at the 6-digit accounting
unit level river drainage basins. Figures 14 and 15 depict 6-digit accounting units in the United
States, grouped into quartiles, according to HAZREL scores for TRI data and PCS data,
respectively. The 4th quartile represents the highest HAZREL scores, whereas the 1st quartile
represents the lowest scores. Areas that are blank do not receive any load of potential sediment
contaminants from point sources, according to TRI and PCS records. The geographic areas with
the greatest HAZREL scores based on TRI data and PCS data are in relatively good agreement
with each other. River drainage areas in the Mid-Atlantic coast, Southern Piedmont, Gulf coast,
Great Lakes, Ohio Valley, California coast, and northwest Washington State have the largest
HAZREL scores and, therefore, may be most likely to have contaminated sediment from point
sources. The areas with the greatest HAZREL scores based on TRI data are located primarily in
manufacturing centers. The areas with the greatest HAZREL scores from PCS data are located
in population centers and highly industrialized areas.
4.3.1. Watersheds of Greatest Concern in the Nation
For the purposes of this study, the term "watershed" is applied to the area defined by the
USGS 8-digit cataloging unit. According to PCS and TRI records and reach assignments
evaluated for this analysis, 930 distinct watersheds that receive potential sediment contaminants
from point sources. Facility level, chemical-specific HAZREL scores from PCS and TRI data
were summed by USGS cataloging unit (CATUNIT) to derive a total watershed HAZREL score.
The distribution of watershed HAZREL scores were divided into quintiles with the upper 20
4-26
-------
Table 8
Analysis of Combined TRI-PCS Data by USGS Regional Hydrologic Units
PCS Data with Values Below Detection Set to Half Detection
TRI
Hydrologic USGS Raw Load HAZREL
Code Region (kg/yr) Score
18
08
02
04
12
03
11
01
05
06
07
10
17
21
13
09
15
19
16
14
20
California
Lower Mississippi
Mid- Atlantic
Great Lakes
Texas-Gulf
South Atlantic-Gulf
Arkansas-Red- White
New England
Ohio
Tennessee
Upper Mississippi
Missouri
Pacific Northwest
Caribbean
Rio Grande
Souris-Red-Rainy
Lower Colorado
Alaska
Great Basin
Upper Colorado
Hawaii
Unassigned
88,180
69,721
205,628
86,047
96,552
240,773
27,567
68,587
78,072
54,218
96,573
22,595
113,783
27,118
2,965
1,913
3,086
36,843
7,639
953
454
60
1.3E+03
1.1E+05
4.6E+03
1.4E+04
4.0E+03
1.2E+04
7.4E+02
6.5E+02
6.5E+03
6.2E+02
2.7E+03
4.1E+02
4.3E+03
2.4E+02
1.2E+02
3.1E+01
2.6E+02
6.0E+02
2.3E+01
2.0E+00
1.6E-01
4.5E-01
PCS (Half Del. Limit)
Raw Load HAZREL
(kŁ/yr) Score
1,338,814
456,314
1,248,111
668,320
153,901
6,830,214
282,979
1,311,977
L403J47
880,403
217,984
164,248
74,396
132,965
115,091
64
32,679
9,843
18,167
4,230
908
1,310
2.3E+06
5.1E+05
5.4E+05
4.3E+05
4.1E+05
2.0E+05
1.9E+05
1.2E+05
1.1E+05
9.3E+04
2.8E+04
1.4E+04
3.9E+03
6.8E+03
6.8E+03
3.5E+03
2.9E+03
1.1E+03
1.5E+03
1.6E+02
3.8E+01
5.6E+01
Combined Data
Raw Load HAZREL % Total
(kg/vr) Score HAZREL
1,426,994
526,035
1,453,739
754,367
250,454
7,070,987
310,545
1,380,564
1,481,219
934,620
314,556
186,843
188,179
160,082
118,056
1,977
35,765
46,686
25,807
5,183
1,361
1,370
2.3E+06
6.1E+05
5.4E+05
4.4E+05
4.2E+05
2.1E+05
1.9E+05
1.2E+05
1.1E+Q5
9.4E+04
3.0E+04
1.4E+04
8.2E+03
7.1E+03
6.9E+03
3.5E+03
3.1E+03
1.7E+03
1.5E+03
1.6E+02
3.8E+01
5.7E+01
45%
12%
11%
9%
8%
4%
4%
2%
2%
2%
1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
<1%
TOTAL 1,329,266 1.6E+05 15,344,756 4.9E+06 16,674,022 5.1E+06
-------
NJ
oo
Figure 14
TRI HAZREL by USGS Accounting Unit
Watersheds in upper quartiles receive the greatest
hazard-weighted amount of potential sediment
contaminants from active point sources according to
available data
TRI data are biased toward areas where large
manufacturing operations are located
3rd Quartlti
fit KKtii!
4th Quartile Represents Largest HAZREL
-------
Figure 15
PCS HAZREL by USGS Accounting Unit
VO
Watersheds in upper quart iles receive the greatest
hazard-weighted amount of potential sediment
contaminants from active point sources according to
available data
PCS data are biased toward areas where regulatory
authorities require extensive effluent monitoring
3rd Qoartlle
tit
4th Quartile Represents Largest HAZREL
Values Below Detection Set to Half Detection Limit
-------
percent of values (i.e., watersheds with the highest HAZREL scores) identified as "Priority Group
1", The remaining values were identified as priority groups 2, 3, 4, and 5. A priority group
classifies watersheds according to priority of conducting further assessment as well as
identification and implementation of effective management efforts such as those described in
Chapter 5. A watershed classified into priority group 4 or 5 does not indicate that the watershed
does not receive point source releases of sediment contaminants, only that this analysis using
these data does not indicate substantial potential risk from point sources subject to major NPDES
permits or TRI reporting in 1992.
Watershed priority groups are presented in Appendix B of this report, sorted by EPA
Region, State, and USGS cataloging unit. Watersheds that cross State and EPA regional
boundaries were assigned to the State where the facilities contributing the most to the HAZREL
score are located. The industrial category and chemical class that contribute the most to the
HAZREL score are also provided. POTWs are the dominant industrial category in
approximately 41 percent of the priority group 1 watersheds. Organics chemical producers, pulp
and paper mills, and inorganic chemical producers are the greatest contributors to HAZREL
scores in 21 percent, 9 percent, and 4 percent of priority group 1 watersheds, respectively.
Releases of metals are the dominant chemical class in almost half (47 percent) of the priority
group watersheds, with halogenated organic compounds dominating in 22 percent. Pesticides and
PCB/dioxins are the greatest contributors to HAZREL score in 14 percent and 10 percent of
priority group 1 watersheds, respectively. Priority group 1 includes several watersheds that are
known or suspected to have contaminated, such as the Hudson-Raritan estuary in New York/New
Jersey, the Schuylkill and Lower Delaware rivers in Pennsylvania/New Jersey, the Detroit River
in Michigan, the Calcasieu Estuary in Louisiana, and San Francisco Bay.
4.3.2. Watersheds of Greatest Concern in EPA Regions and States
The screening level hazard analysis indicates that the pattern of releases of sediment
contaminants varies by EPA Region. Table 9 shows the number of watersheds in each priority
group by EPA Region based on the combined PCS-TRI data presented in Appendix B. Over
one-quarter (26 percent) of all priority group 1 watersheds are located in EPA Region 4. Large
proportions of priority group 1 watersheds are also located in Region 6(17 percent), Region 5
(16 percent), Region 2 (11 percent), and Regions 9 and 3 (10 percent each). Although Regions
2, 4, 5, and 6 contain large numbers of priority 1 watersheds, these regions also contain the
largest total number of watersheds, and the priority group totals are fairly evenly distributed. In
4-30
-------
Table 9
Number of Watershed in Each Priority Group by EPA Region
Priority
Group
Number of Watersheds in EPA Region
8
10
1
2
3
4
5
5
9
9
7
11
21
19
6
2
18
19
16
12
14
50
31
43
47
41
29
46
46
31
22
32
21
15
34
41
4
12
20
21
25
4
10
11
16
12
19
7
13
9
8
4
12
7
7
12
TOTAL
41
48
79
212
174
143
82
53
56
42
Note: Each Priority Group Includes 186 Watersheds
Priority Group Assignment Based on Combined PCS-TRI Data
Values from PCS Below Detection Set to Half Detection Limit
4-31
-------
contrast, Region 2 contains only 5 percent of the total number of watersheds examined in this
analysis, yet over 80 percent of them (40 out of 48) are listed in priority groups 1 or 2.
Likewise, one-third of all watersheds in Region IX (19 out of 56) are listed in priority group 1.
On the other hand, watersheds in Regions 1, 7, and 8 tend to be listed in the lower priority
groups. Watersheds in Region 10 tend to be either medium-high priority (one-third listed in
priority group 2) or low priority (one-third listed in priority group 5). At the State level,
California (9 percent), Texas (9 percent), New York (6 percent), Georgia (6 percent), Louisiana
(5 percent), Tennessee (5 percent), and Pennsylvania (4 percent) have the largest percentages of
watersheds in priority group 1.
Appendix B lists the watersheds of greatest concern in EPA Regions and States. The
tables in Appendix B indicate that the dominant chemical class discharged and industrial category
responsible for these discharges within watersheds tend to be metals and POTWs respectively.
However, this does not hold true for many of the watersheds with the largest HAZREL scores
in priority group 1. In the two following paragraphs, the dominant industrial category or
chemical class is stated in parenthesis if it differs from POTWs or metals.
The watersheds with the highest HAZREL scores in EPA Region 1 include the Lower
Connecticut (metal products and machinery) and Quinnipiac in Connecticut and the Narragansett
in Rhode Island. The watersheds with highest HAZREL score in EPA Region 2 are the
Hackensack-Passaic and Sandy Hook-Staten Island in metropolitan New York/New Jersey and
the Niagara (PCB/dioxins and metal products and machinery) and Lower Genesee (halogenated
organics and photographic equipment) in upstate New York. Notable watersheds in EPA Region
3 include the Patuxent in Maryland (pesticides), the Lower Delaware in Pennsylvania/New Jersey
(N,S,P organics), and the Lower James in Virginia (halogenated organics and organic chemical
producers). The Mobile-Tensaw in Alabama (PCB/dioxins and pulp and paper mills), the Lower
St. John's in Florida (pulp and paper mills), and the Pigeon in North Carolina (PCB/dioxins and
pulp and paper mills) are among the watersheds with the highest HAZREL scores in EPA Region
4. In EPA Region 5, watersheds with the highest HAZREL scores include the Detroit in
Michigan and the Manitowoc-Sheboygan (PCB/dioxins) and Milwaukee (pesticides) watersheds
in Wisconsin. In EPA Region 6, most of the coastal drainage watersheds in southern Louisiana
(mostly from halogenated organics and organic chemical producers) have relatively high
HAZREL scores, as do the Little Cyprus (PCB/dioxins and warehousing and storage), Cedar, and
Sabine Lake (pesticides) watersheds in Texas. Watersheds with the most significant HAZREL
scores in EPA Regions 7 and 8 are the Middle Arkansas-Slate in Kansas and the Lower Belle
4-32
-------
Fourche in Montana/South Dakota (fertilizers). Most of the top watersheds in EPA Region 9 are
located in the San Francisco Bay area and on the southern California coast (dominated by
pesticides in both areas). The most notable watershed in EPA Region 10 is the Lower Columbia-
Clatskanie in Oregon (PAHs and nonferrous metal producers).
4.4. Analysis by Industrial Category
Facility level HAZREL scores for chemical releases were sorted by industrial categories
according to the primary SIC code reported in PCS or TRI, There are 46 industrial categories
overall, covering a broad range of activities. A relatively small number of TRI facilities (13),
but a significant number of PCS facilities (314), do not fall into the defined industrial categories
or do not report a primary SIC code. These facilities are listed as "Not Classified". Table 10
lists these industrial categories by descending HAZREL score for TRI data. Table 11 presents
the same information for PCS data for the three different treatments of values below detection.
Table 12 presents the results by industrial category for the combined TRI-PCS data. For TRI
data, inorganic chemical producers have the highest HAZREL scores, followed by petroleum
refineries, organic chemical manufacturers, photographic equipment, pulp and paper mills, and
pesticide manufacturers (Table 10). The majority of the total raw load for inorganic chemical
producers, photographic equipment, pulp and paper, and pesticides is from direct surface water
releases, whereas the majority of total raw load for petroleum refineries and organic chemical
manufacturers is from POTW transfers. For PCS data, POTWs, organic chemical manufacturers,
pulp and paper, and metal products and machinery are the highest ranked industrial categories
regardless of treatment of values below detection (Table 11). Using half the detection limit,
warehousing and storage, iron and steel, inorganic chemical producers, Pharmaceuticals, metal
finishing, and fertilizers round out the top ten. Using zero for values below detection, the
HAZREL scores for warehousing and storage, pharmaceuticals, and inorganic chemical producers
are substantially reduced. The distribution of combined TRI-PCS HAZREL scores (Table 12)
differs only slightly from the distribution based on PCS HAZREL scores alone (at half detection
limit) because PCS release data and HAZREL score accounts for the vast majority of combined
TRI-PCS releases (92 percent) and HAZREL score (97 percent).
A relatively large release of a hazardous chemical from a single facility can result in a
high HAZREL score for an industrial category. For example, a single TRI release record of 1,2-
dichloropropane from a manufacturing facility in upstate New York accounts for 96 percent of
the HAZREL score for photographic equipment. Likewise, PCS loading records derived from
4-33
-------
Table 10
Analysis of TRI Data by Industrial Category
Sorted by HAZREL Score
Surface Water POTW Raw
Industrial Release Transfer Load* HAZREL
Category (kg/yr) (kg/yr) (kg/yr) Score
inorganic Chemicals
Petroleum Refining
Organic Chemicals (OCPSF)
Photographic Equipment
Pulp & Paper
Pesticides
Timber
Metal Products and Machinery
Von ferrous Metals
Iron & Steel
Stone, Clay, Glass, & Concrete
Textiles
Metal Finishing
Soaps & Detergents
Miscellaneous Chemicals
Pharmaceuticals
Explosives
Foundries
Not Classified
Printing & Publishing
Copper Forming
Gum & Wood Chemicals
Plastics Molding & Forming
Electrical
Pood & Kindred Products
Leather Tanning
Paint Formulating
Nonferrous Metal Forming
Apparel & Other Materials
Furniture & Fixtures
Rubber Products
Adhesives & Sealants
Battery Manufacturing
Porcelain Enameling
Leather Goods (other)
Coil Coating
Fertilizers
Asphalt Products
Tobacco Products
Waste Oil Reclamation
Ink
28,070
40,083
47,313
5,911
286,444
1,463
2,689
19,413
4,105
33,530
1,392
8,062
6,976
513
7,737
32,184
109
4,127
5
1,354
1,352
1,050
11,633
260
252
113
4,779
643
1,107
17
3,930
121
10
161
227
17
0
456
0
27
0
1,498
101,470
120,665
128
55,611
550
109
99,627
800
6,652
16,715
130,091
24,025
3,942
25,742
81,247
32
1,777
9,622
2,911
1,255
1,925
44,278
5,042
4,481
2,169
6,231
1,343
10,153
5,694
1,417
2,264
67
205
1,026
157
85
2
567
118
0
29,568
141,553
167,978
6,040
342,055
2,014
2,798
1 19,040
4,905
40,182
18,106
138,152
31,001
4,455
33,478
113,431
141
5,904
9,627
4,264
2,608
2,975
55,912
5,302
4,733
2,282
11,010
1,986
11,260
5,711
5,347
2,384
77
365
1,253
174
85
458
567
144
0
5.2E+04
3.9E+04
3.4E+04
7.0E+03
5.6E+03
5.4E+03
2.8E+03
2.7E+03
2.0E+03
1.7E+03
1.7E+03
1.5E+03
1.4E+03
1.1E+03
1.1E+03
7.2E+02
4.1E+02
2.1E+02
1.7E+02
1.6E+02
1.3E+02
l.OE+02
l.OE+02
9.0E+01
7.0E+01
6.9E+01
4.9E+01
4.4E+01
4.0E+01
3.6E+01
1.4E-I-01
l.OE+01
l.OE+01
9.8E+00
7.3E+00
4.8E+00
2.9E+00
1.3E+00
8.9E-01
7.9E-02
5.4E-05
TOTAL 557,632 771,694 1,329,326 1.6E+05
* Raw Load = Surface Water Release + 0.25 X POTW Transfer
4-34
-------
Table 11
Analysis of PCS Data by Industrial Category
Sorted by HalfDet. Umti HAZREL Score
Zero Del. Limit
Industrial Raw Load HAZREL
Category (kfi/yr) Score
POTWa
Not Classified
Organic Chemicals (OCPSF)
Pulp & Paper
Metal Products and Machinery
Warehousing and Storage
Iron & Steel
Inorganic Chemicals
Pharmaceuticals
Metal Finishing
Fertilizers
Petroleum Refining
Miscellaneous Chemicals
Adhesive! & Sealants
Paint Formulating
Textiles
Food & Kindred Products
Asphalt Products
Nonferrous Metals
Coil Coating
Pesticides
Oil and Gas
Copper Forming
Apparel & Other Materials
Electrical
Printing & Publishing
Explosives
Furniture & Fixtures
Nonferrous Metal Forming
Stone, Clay, Glass, & Concrete
Coal Mining
Foundries
Soaps & Detergents
Photographic Equipment
Timber
Leather Tanning
Gum & Wood Chemicals
Plastics Molding & Forming
Porcelain Enameling
Tobacco Products
Rubber Products
Hospitals
Battery Manufacturing
Leather Goods (other)
3,720,291
1,394,430
311,250
2,302,046
1,239,475
6
3,969,660
235,154
10,883
397,388
96,209
48,333
32,686
1,191
3,325
119,237
25,764
0
12,613
27,189
2,496
4,463
8,474
3,366
1,256
2,165
206
3,792
548
618
311
1,677
990
108
21
646
40
349
216
130
929
46
32
4
6.9E+05
6.SE+04
3.6E+05
UE+05
l.OE+05
1.5E-02
3.3E+04
8.6E+03
7.6E+01
2.0E+04
1.1E+04
3.1E+03
2.4E+03
3.8E+03
3.7E+03
2.3E+03
1.6E+03
O.OE+00
5.8E4-02
6.21+02
9.9E+01
1.1E+02
2.1E+02
2.1E+02
4.9E+01
1.2E+02
9.9E+01
S.OE+01
70E+01
5.9E+01
3.1E+01
4.2E+01
2.9K+01
3.2E+Q1
2.7E+01
2.3E-I-01
9.5E-01
1.5E+01
8.8E+00
3.5E+00
2.2E+00
2.0E+00
1.5E+00
1.7E-01
Half Det. Limit
Raw Load HAZREL
(k^/yr) Score
4,052,782
2,168,562
328,464
2,345,888
1,240,286
81
4,105,388
248,400
11,171
402,741
123,226
54,463
38,583
1,201
3,325
119,621
26,074
108
13,316
27,61 1
3,133
4,593
8,506
3,638
1,323
2,202
259
3,793
583
649
567
1,722
1,036
110
21
656
252
350
218
130
950
46
33
6
3.0E+06
8.2E+05
5.6E+05
1.7E+05
LIE +05
9.3E+04
3.5E+04
3.4E+04
3.3E+04
2.1E+W
1.3E+04
7.3E+03
6. IE +03
3.3E+03
3.7E+03
2.3E+03
1.6E+03
1.2E+03
9.1E+02
6.6E+02
5.5E+02
3.0E+02
2.4E+02
2.2E+02
1.5E+02
1.2E+02
1.0E+02J
8.0E+01
7.2E+01
6.3E+01
5.6E+01
4.5E+01
3.9E+01
3.3E+01
2.7E+01
2.3E+01
2.0E+01
1.5E+01
8.8E+00
3.5E+00
3.0E+00
2.0E+00
1.5E+00
2.3E-01
Full Det. Limit
Raw Load HAZREL
(ka/yr) Score
4,385,273
2,942,692
345,678
2,389,730
1,241,098
157
4,241,116
261,647
11,459
408,095
150,244
60,592
44,480
1,211
3,325
120,005
26,384
216
14,018
28,033
3,769
4,724
8,539
3,910
1,390
2,239
312
3,795
619
680
823
1,767
1,081
111
21
667
465
351
219
130
971
46
33
7
5.4E+06
1.6E+06
7.6E+05
2.2E+05
1.2E+05
1.9E+05
3.7E+04
6.0E+04
6.5E+04
2.2E+04
1.5E+04
1.1E+04
9.9E+03
3.8E+03
3.7E+03
2.3E+03
L6E+03
2.4E+03
1.2E+03
7.1E+02
l.OE+03
4.9E+02
2.7E+02
2.3E+02
2.4E+02
1.2E+02
l.OE+02
8.1E+01
7.4E+01
6.6E+01
8.2E+01
4.7E+01
4.9E+01
3.4E+01
2.7E+01
2.4E+01
3.9E+01
1.5E+01
8.9E+00
3.5E+00
3.7E+00
2.0E+00
1.5E+00
2.9E-01
TOTAL 13,980,011 1.4E+06 15,346,066 4.9E+06 16,712,119 8.5E+06
4-35
-------
Table 12
Analysis of Combined TR-PCS Data by Industrial Category
Sorted by Combined HAZREL Scon
TRI
Industrial Raw Load HAZREL
Cateeory (kz/?r) Score
POTWs
Not Classified
Organic Chemicals (OCPSF)
Pulp & Paper
Metal Product* and Machinery
Warehousing and Storage
Inorganic Chemicals
Petroleum Refining
Iron & Steel
Pharmaceuticals
Metal Finishing
Fertilizers
Miscellaneous Chemicals
Photographic Equipment
Pesticides
Textiles
Adhesivcs & Sealants
Paint Formulating
Nonferrous Metals
Timber
Stone, Clay, Glass, & Concrete
Food & Kindred Products
Asphalt Products
Soaps & Detergents
Coil Coating
Explosives
Copper Forming
Oi' and Gas
Printing & Publishing
Apparel & Other Materials
Foundries
EltcHwd
Gum ifc Wood Chemicals
Plastic i Molding & Forming
Furnit ire & Fixtures
Nonl'ei roue Metal Forming
Leather Tanning
Coal M ning
Porceiam Enameling
Rubber P-oducts
Battery Manufacturing
Leather Goo -Is (other)
Tobacco Prod, icts
Hospitals
Waste Oil Reclamation
Ink
9,627
167,978
342,055
119,040
29,568
141,553
40,182
113,431
31,001
85
33,478
6,040
2,014
138,152
2,384
11,010
4,905
2,798
18,106
4,733
458
4,455
174
141
2,608
4,264
11,260
5,904
5,302
2,975
S5,912_j
5,711
1,986
2,282
365
5,347
77
1,253
567
144
O.I
1.7E+02
3.4E+04
5.6E+03
2.7E+03
5.2E+04
3.9E+04
1.7E+03
7.2E+02
1.4E+03
2.9E+00
1.1E+03
7.0E+03
5.4E+03
1.5E+03
l.OE+01
4.9E+01
2.0E+03
2.8E+03
1.7E+03
7.0E+01
1.3E+00
1.1E+03
4.8E+00
4.1E+02
1.3E+02
1.6E+02
4.0E+OI
2.IE+02
9.0E+01
I.OE-f-02
l.OE+02
3.6E+01
4.4E+01
6.9E+01
9.8E+00
I.4E+OI
LOE+01
7.3E+00
8.9E-01
7.9E-02
5.4E-05
PCS (Half Det. Limit)
Raw Load HAZREL
(kg/yr) Score
4,052,782
2,168,562
328,464
2,345,888
1,240,286
81
248,400
54,463
4,105,388
11,171
402,741
123,226
38,583
110
3,133
1 19,621
1,201
3,325
13,316
21
649
26,074
108
1,036
27,61 1
259
8,506
4,593
2,202
3,638
1,722
1,323
252
350
3,793
583
656
567
218
950
33
6
130
46
3.0E+06
8.2E+05
5.6E+05
1.7E+05
1.1E+05
9.3E-KM
3.4E+04
7.3E+03
3.5E+04
3.3E+04
2.1E+04
1.3E+04
6.1E+03
3.3E+01
5.5E+02
2.3E+03
3.8E+03
3.7E+03
9.1E+02
2.7E-MH
6.3E-KM
1.6E+03
1.2E+03
3.9E+01
6.6E+02
l.OE+02
2.4E+02
3.0E-f02
1.2E+02
2.2E+02
4.5E+01
1.5E+02
2.0E+01
1.5E+01
8.0E+01
7.2E+01
2.3E+01
5.6E+01
8.8E+00
3.0E+00
1.5E+00
2.3E-01
3.5E+00
2.0E+00
Combined Data
Raw Load HAZREL
(kg/yr) Score
4,052,782
2,178,189
496,442
2,687,943
1,359,326
81
277,969
196,015
4,145,569
124,602
433,743
123,311
72,062
6,149
5,146
257,773
3,585
14,335
18,220
2,819
18,755
30,807
566
5,491
27,785
400
11,114
4,593
6,466
14,898
7,626
6,624
3,227
56,261
9,504
2,569
2,939
567
583
6,297
110
1,259
697
46
144
0
3.0E+06
8.2E+05
5.9EH-05
1.7E+05
1.1E+03
9.3E+04
8.7E+04
4.6E+04
3.7E+04
3.3E+04
2.3E+04
1.3E+04
7.2E+03
7.0E+03
5.9E+03
3.8E+03
3.8E+03
3.8E+03
2.9E+03
2.8E+03
1.8E+03
1.6E+03
1.2E-t-03
1.1E+03
6.7E+02
5.1E+02
3.7E+02
3.0E+02
2.8E+02
2.6E+02
2.6E+02
2.4E+02
1.2E+02
1.2E+02
1.2E+02
1.2E+02
9.2E+01
5.6E+01
1.9E+01
1.7E+01
1.2E+01
7.5E+00
4.4E+00
2.0E+00
7.9E-02
5.4E-05
TOTAL 1,329,326 L6E4-05 15,346,066 4.9E+06 16,675,392 5.1E+06
4-36
-------
using half detection limit values for a set of seven PCBs from a facility in Texas account for 68
percent of the HAZREL score for warehousing and storage. Table Cl in Appendix C presents
HAZREL scores grouped by chemical for each industrial category. The number of facilities
within the industrial category discharging each chemical is also presented in Table Cl. Note, this
table is not a comprehensive list of all chemicals discharged from all facilities, but is limited to
industrial category-chemical combinations where the HAZREL scores exceed 1.
Table 13 presents the number of facilities in each industrial category by data source (i.e.,
PCS or TRI). The majority (42 percent) of PCS facilities included in the hazard analysis are
POTWs, with organic chemical manufacturers, petroleum refineries, and pulp and paper mills also
well represented. The majority of TRI facilities (48 percent) are organic chemical manufacturers
and metal working operations. Some industrial categories are not well represented in either PCS
or TRI. These include asphalt products, hospitals, ink, leather goods, and tobacco products. This
limited representation could be a result of many facilities within the industry not qualifying for
major NPDES permits (which require monthly discharge monitoring for specific chemicals), not
meeting the reporting requirements for TRI, or not having release records for pollutants retained
in the hazard analysis.
4.4.1. Industrial Categories of Greatest Concern in the Nation
The top industrial categories in the Nation according to HAZREL score for TRI data, PCS
data, and combined TRI-PCS data are depicted in Figure 16. The distribution of combined TRI-
PCS HAZREL scores differs only slightly from the distribution based on PCS HAZREL scores
alone because PCS release data and HAZREL score accounts for the vast majority of combined
TRI-PCS releases (92 percent) and HAZREL score (97 percent). The industries of greatest
concern in the Nation, based on TRI data, are inorganic chemical producers, petroleum refineries,
and organic chemical manufacturers. Together, these three industries account for over three
quarters of the total HAZREL score. Other significant industrial categories based on TRI data
are photographic equipment (4 percent of HAZREL), pulp and paper (3 percent of HAZREL),
and pesticides (3 percent of HAZREL). Based on PCS data using half detection limit values,
releases from POTWs account for approximately 61 percent of the total HAZREL score. Other
industrial categories of greatest concern on a national scale include organic chemical
manufacturers (11 percent of HAZREL), pulp and paper (3 percent of HAZREL), and metal
products and machinery (2 percent of HAZREL).
4-37
-------
Table 13
Number of Facilities in Industrial Categories by Data Source
Industrial
Category
Number of
TRI Facilities
Number of
PCS Facilities
Adhesives & Sealants
Apparel & Other Materials
Asphalt Products
Battery Manufacturing
Coal Mining
Coil Coating
Copper Forming
Electrical
Explosives
Fertilizers
Food & Kindred Products
Foundries
Furniture & Fixtures
Gum & Wood Chemicals
Hospitals
Ink
Inorganic Chemicals
Iron & Steel
Leather Goods (other)
Leather Tanning
Metal Finishing
Metal Products and Machinery
Miscellaneous Chemicals
Nonferrous Metal Forming
Nonferrous Metals
Oil and Gas
Organic Chemicals (OCPSF)
Not Classsified
Paint Formulating
Pesticides
Petroleum Refining
Pharmaceuticals
Photographic Equipment
Plastics Molding & Forming
Porcelain Enameling
POTWs
Printing & Publishing
Pulp & Paper
Rubber Products
Soaps & Detergents
Stone, Clay, Glass, & Concrete
Textiles
Timber
Tobacco Products
Warehousing And Storage
Waste Oil Reclamation
37
21
2
19
22
52
110
5
1
17
124
27
6
1
58
103
4
16
382
844
63
87
58
330
13
77
24
134
59
9
43
13
74
118
27
105
32
61
29
1
10
2
10
1
2
2
10
7
5
6
62
19
17
3
3
1
85
88
1
8
83
89
25
5
47
16
212
314
7
13
113
23
1
2
5
1096
9
113
3
10
11
51
1
1
2
TOTAL 3218 2584
4-38
-------
Figure 16
Analysis by Industrial Category
HAZREL indicates relative potential to contribute to
sediment contamination according to available data
Inorganic Chemicals 329k
Petroleum Refining 24%
Other/Not Classified 11%
Pesticides 3%
Pulp & Paper 3%
Photographic Equip. 4%
Organic Chemicals 21%
TRIData
HAZREL (L6E+5)
TRI data are biased toward facilites engaged in
manufacturing operations (SIC 20-39)
POTWs 59%
POTWs 61%
Other/Not Classified 22%
Metal Prod. & Mach. 2%
Pulp & Paper 3%
Organic Chemicals 11 %
PCS Data
HAZREL (4.9E+6)
PCS data are biased toward facilities required to perform
extensive effluent monitoring
Other/Not Classified 24%
rMctal Prod, & Mach. 2%
Pulp & Paper 3%
Organic Chemicals 12%
Combined Data
HAZREL (5.1E+6)
-------
A major difference between PCS and TRI is the way transfers to POTWs are handled.
Chemicals loads that are identified as POTW transfers in TRI are attributed to the facility
producing the waste, whereas chemicals discharged by POTWs in PCS are attributed to the
POTW itself. Thus, releases are identified at the point of actual release, rather than the point of
production. Waste discharged from a POTW may have numerous sources that are not classified
by industrial category because it is not possible to trace the original source of chemicals
discharged from POTWs from PCS data. Likewise, it is not possible to identify the ultimate
destination of POTW transfers from TRI data. Given this distinction, the industrial categories
identified on the PCS pie chart in Figure 15 can be interpreted as the largest dischargers of
potential sediment contaminants, whereas the industrial categories identified on the TRI pie chart
on Figure 15 can be interpreted as the largest producers of potential sediment contaminants,
4.4.2. Industrial Categories of Greatest Concern in EPA Regions and States
Tables C.2 and C.3 in Appendix C list the industrial categories in each EPA Region and
State with HAZREL scores greater than 1 based on PCS and TRI data combined. The top
industrial categories in the Nation are usually also among the top industries in EPA Regions.
POTWs are the predominant industrial category in the nation as a whole and in most EPA
Regions. However, metal products and machinery has the largest HAZREL score in Region 1,
pulp and paper has the largest HAZREL score in Region 4, and fertilizers have the largest
HAZREL score in Region 8. The top industrial categories in individual States often differ from
the highest ranked national industries and may reflect dominant industrial activities in that State.
For example, pulp and paper, organic chemicals, soaps and detergents, Pharmaceuticals, and
textiles are the top five industrial categories in North Carolina. Timber and explosives are among
the top five industries in Arkansas. Food and kindred products are relatively important potential
sources of sediment contaminants in Maryland and Colorado. Pesticides and pulp and paper are
important industries of concern in Georgia. In Connecticut, metal products and machinery is the
dominant industry. Adhesives and sealants have the third largest HAZREL score in Michigan
(behind POTWs and organic chemicals). The top industry in New Mexico is nonferrous metals
in terms of release of sediment contaminants.
4.5. Conclusions
Over 22,000 individual TRI and PCS records of point source pollutant releases of 118
different chemicals are included in the hazard analysis for the year 1992. Approximately 930
4-40
-------
individual watersheds and 46 distinct industrial categories are represented. In general, areas that
are population centers and are associated with industrial activity receive the greatest amount of
potential sediment contaminants from point sources. Regional rankings based on geographic
assignment of loading data suggest that some USGS hydrologic regions, particularly the Lower
Mississippi and California regions, may have higher potentials for sediment contamination than
lower-ranked regions. The Lower Mississippi, Great Lakes, and South Atlantic-Gulf hydrologic
regions account for nearly 85 percent of the total TRIHAZREL score for the United States. The
California, Mid-Atlantic, Lower Mississippi, Great Lakes, and Texas Gulf hydrologic regions
account for nearly 85 percent of the total PCS HAZREL score for the United States. At the
hydrologic region level, the distribution of combined TRI-PCS HAZREL scores differs only
slightly from the distribution based on PCS HAZREL scores alone because PCS release data and
HAZREL score accounts for the vast majority of combined TRI-PCS releases (92 percent) and
HAZREL score (97 percent). However, at smaller units of aggregation, such as USGS cataloging
units (or watersheds), the combined TRI-PCS data provide the most comprehensive set of
sediment contaminant release information. HAZREL scores for individual watersheds indicate
that EPA Regions 4 and 6 contain the most river drainage areas identified as high priority for
further assessment.
The results of analyses indicate that certain chemical classes and industrial categories have
higher potentials for contributing to sediment contamination than others. Both TRI data and PCS
data demonstrated the significant sediment hazard potential of pesticides and halogenated organic
compounds. Despite the inherent differences in the TRI and PCS data bases, a relatively good
correlation exists between the ranking of industrial categories based on HAZREL scores. This
supports the conclusion that the highest ranked industrial categories contribute the most sediment
contaminants. Based on TRI data, inorganic chemical producers, petroleum refineries, and
organic chemical manufacturers account for over three quarters of the total TRI HAZREL score.
Other significant industrial categories based on TRI data are photographic equipment (4 percent
of TRI HAZREL score), pulp and paper (3 percent of TRI HAZREL score), and pesticides (3
percent of TRI HAZREL score). Based on PCS data using half detection limit values, releases
from POTWs, organic chemical manufacturers, pulp and paper mills, and metal products and
machinery producers account for approximately 61, 11, 3, and 2 percent of the total PCS
HAZREL score, respectively. As with the analysis by geographic region, the distribution of
combined TRI-PCS HAZREL scores among industrial categories differs only slightly from the
distribution based on PCS HAZREL scores alone because PCS release data and HAZREL score
accounts for the vast majority of combined TRI-PCS releases and HAZREL score. The top
4-41
-------
industrial categories in the nation are usually also among the top industries in EPA Regions.
However, the top industrial categories in individual States often differ from the highest ranked
national industries and may reflect dominant industrial activities in that State.
It is important to note that the aggregate data used in this study are not necessarily
indicative of widespread problems associated with particular chemicals, regions, or industrial
categories. For example, the data indicate that highly toxic pesticides (such as chlordane,
heptachlor, and toxaphene) and PCB/dioxins dominate the HAZREL on a national level.
However, these large HAZREL scores may be a result of releases from only a few individual
facilities. This may indicate a localized problem, but not a national or regional problem.
Alternatively, a large national total could be the result of nearly ubiquitous releases, distributed
throughout the entire Nation that never reach significant levels at any one location. The
HAZREL and raw load data for copper illustrate this. It is released in large amounts across the
Nation, but does not have a high hazard score relative to other chemicals.
It is also important to recognize that the geographic areas identified in this analysis
represent areas where the potential for sediment contamination exists; they do not represent
specific locations where sediment contamination has occurred. For example, USGS cataloging
units can represent large areas encompassing large mainstream rivers and small tributary streams
that vary greatly in size, shape, and physical/chemical characteristics. Transport, sediment
partitioning, and sediment accumulation in locations either very close to the point of discharge
or far downstream depend on many factors, including streamflow, stream velocity,
hydromorphology, particle size distribution and organic carbon content of underlying sediment,
suspended sediment load, temperature, pH, and salinity.
HAZREL scores alone cannot predict sediment contamination, nor can they be used as
the sole basis for any regulatory action or allocation of resources. However, HAZREL scores
can be used to prioritize chemicals, areas, and industries to initiate actions to obtain more
information about potential sediment contamination and its source(s). Comparison with existing
sediment monitoring data or additional sediment monitoring should be initiated to confirm the
results of these analyses.
The study indicates, however, that releases of sediment contaminants are currently
ongoing and likely contributing to the formation of contaminated sediments. The percentage of
point source loadings relative to the total amount of sediment contaminants being released to
4-42
-------
waterbodies and the impact of these loadings to the health of the Nation's aquatic ecosystems are
issues currently being addressed by EPA's Office of Science and Technology. These and other
ongoing activities related to the assessment and management of contaminated sediments,
including prevention, are described in the final chapter of this report.
4-43
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5.0. SELECTED APPLICATIONS OF POINT SOURCE INVENTORY DATA
As described previously, the Point Source Inventory is only one component of EPA's
Contaminated Sediment Management Strategy. An inventory of potential nonpoint sources of
sediment contaminants has already been initiated and will add significantly to the understanding
of the processes which contribute to the formation of contaminated sediments. Potentially
significant nonpoint sources include urban and agricultural runoff, atmospheric deposition, and
other sources. An assessment of the hazard potential from nonpoint sources will assist in
evaluating the relative importance of point and nonpoint sources, and will enable further
identification of geographic areas of concern. In addition, the ongoing National Sediment
Inventory of contaminated sites represents an attempt to gather and assess available site-specific
sediment quality data. Managing contaminated sediments is a challenging task because of the
complexities associated with the fate and transport of environmental contaminants, and the
difficulties in assessing historical and current sources of sediment contamination. However,
source inventories such as this, along with other contaminated sediment program initiatives,
represent progress toward the development of tools that can assist EPA in making regulatory and
remediation decisions with regard to sediment contamination.
Several uses of Point Source Inventory data are described below to provide examples of
how these data can contribute to specific EPA and State regulatory activities. These examples
include a description of how Point Source Inventory data will be integrated with data compiled
for the National Sediment Inventory of contaminated sites (Section 5.1); how the data when
grouped by industrial category, and further grouped by chemical within industrial category, can
assist OST in screening industries for effluent guidelines development (Section 5.2); how the data
can be used by the Office of Enforcement (OE) identify potential discharges and/or industrial
activities that may be contributing to fish advisories (Section 5,3); and how a State or EPA
Regional NPDES permitting authority could potentially incorporate Point Source Inventory data
in the initial stages of reissuing permits and establishing monitoring requirements (Section 5.4)
for specific industries.
5.1. Sed|ment Monitoring Uses
Concurrent with development of the Point Source Inventory, OST is developing a
nationwide inventory of contaminated sediment sites. Both the Point Source and Site Inventories
are two of three components of the National Sediment Inventory (NSI), the third component
5-1
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being the Nonpoint Inventory currently under development. OST initiated development of the
NSI in response to objectives set forth in EPA's Contaminated Sediment Management Strategy
and EPA's mandate under the Water Resources Development Act of 1992 (WRDA), The
information from the evaluation of the NSI will be used to assess the nature and extent of
sediment contamination of the Nation's freshwater and estuarine ecosystems. The results of this
study will be presented to Congress in 1995. NSI data will be used to assist EPA in assessment,
pollution prevention, remediation, and dredged material management activities by making
available pertinent background information so that EPA program managers and others can be
more effective.
The data in Site Inventory are being compiled from several sources, including EPA's
STORET ambient monitoring data base, NOAA's National Status and Trends data base, the U.S.
Fish and Wildlife Service, the U.S. Army Corps of Engineers, the U.S. Geological Survey, and
EPA Regional and Program Offices (e.g., EMAP, GOMP, Regions 4, 5, 6, 9, 10, and others).
The minimum data elements required for study data to be included are the data source (citation),
sampling year, latitude/longitude coordinates, and sediment chemistry or tissue residue data.
Because WRDA mandates a Report to Congress every two years, sediment quality and pollutant
source data contained in the NSI will be contimually updated and improved over time. Although
the NSI database will ultimately reside on the modernized STORET system, the NSI database
(in SAS files or dBASE format) will be available from OST to interested individuals in July,
1995.
Point Source Inventory data have been incorporated into the NSI database to provide
potential users with access to information on current point sources of sediment contamination.
The data elements of the Point Source Inventory include facility name, city, State,
latitude/longitude, NPDES or TRI identification number, primary SIC code, OW industrial
category, chemical name, CAS number, annual load, and known or likely receiving waterbody,
recorded as the 8-digit USGS cataloging unit and 3-digit segment number.
While the NSI will help document previously examined locations, OST anticipates that
significant sediment contamination may also exist in locations where no sediment quality data
currently are available. The Point Source Inventory can thus be an important tool for identifying
candidate locations for sediment monitoring. Where sediment quality data exist, knowledge of
existing sources of sediment contamination may be able to help distinguish between sites that
have been contaminated by historical sources or spills and sites that are currently being
5-2
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contaminated by active sources. This knowledge may be useful in selecting appropriate
remediation activities.
An initial comparison of the Point Source Inventory data with Site Inventory data gives
a preliminary indication that data gaps exist. For example, the Site Inventory shows that many
sediment monitoring stations exist in the western part of North Dakota. The Point Source
Inventory, however, indicates few point sources in these areas, suggesting that nonpoint source
discharges may be responsible for any sediment contamination detected in this area, A future
examination of similarities between nonpoint source inputs of specific chemicals and elevated
levels of these same chemicals in sediment may lead to the same conclusion and assist in the
identification of potential management approaches. Conversely, the Point Source Inventory
indicates that large chemical loads are being released in northern Minnesota, Indiana, and the
central portions of Georgia and Alabama. The Site Inventory indicates that few monitoring
stations exist in these areas. Therefore, resources could be focused on increased sediment quality
monitoring in these areas.
Another monitoring activity where the Point Source Inventory can be useful is in the
dredged material disposal management program. The Evaluation of Dredged Material Proposed
for Ocean Disposal - Testing Manual ("Green Book") (U.S. EPA and U.S. Army, 1991), outlines
a tiered approach to evaluating dredged material prior to disposal. The Point Source Inventory
can provide useful information to EPA and the Corps of Engineers (COE) program managers for
conducting a Tier 1 Evaluation, the review of background information and identification of
chemicals of concern for further assessment.
Another environmental program using sediment monitoring data is the National Estuary
Program (NEP). Congress established this program as part of the 1987 Clean Water Act to
identify nationally significant estuaries and to improve and protect their water quality and living
resources. The NEP now encompasses 21 estuaries on the Atlantic, Pacific, and Gulf coasts.
The majority of NEP estuaries have identified toxic contamination as a primary threat, and have
recommended sediment monitoring. Future research needs identified in EPA's 1992 draft Report
to Congress on the NEP include the problem of contaminated sediments and their impact on
benthic communities. Existing NEP Management Conferences can use the Point Source
Inventory to help identify potential sources of contamination and to help formulate specific plans
in their Comprehensive Conservation and Management Plan (CCMP). Point Source Inventory
5-3
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data can also assist in identifying prospective estuaries of concern for consideration as future
NEPs.
5.2. Effluent Guidelines Development Uses
Point Source Inventory data can be used to assist OST in screening industries for selection
for national technology-based effluent guidelines development and to help identify specific
chemicals to be addressed by those regulations. The effluent guidelines process involves
developing and evaluating treatment options to be designated as Best Available Technology
(BAT), Best Conventional Technology (BCT), and Pretreatment Standards for New and Existing
Sources (PSNS and PSES). The Point Source Inventory can be used as a screening tool for
selecting industries by ranking industrial categories according to potential sediment hazards. It
can also be used to assist in technology option development and selection by providing additional
background information on persistent chemicals causing the greatest risks to aquatic life and
human health.
Several industrial categories for which loading data from PCS and TRI exist are currently
undergoing preliminary studies to determine the need for national effluent guidelines. Table 14
lists these industries and their associated raw loads and HAZREL scores from analysis of the
PCS and TRI data bases. Point Source Inventory data indicate that all of these industries, with
the exception of leather tanning, are potentially important sources of sediment contamination.
It should be noted that the Point Source Inventory does not enable a full and complete assessment
to be made of the potential hazards and risks from chemical releases by these industries, but it
can be useful in screening-level analyses.
Table 14
Industrial Categories Slated for Effluent Guidelines Preliminary Studies
Industrial
Category
Inorganic Chemicals
Iron and Steel
Leather Tanning
Metal Finishing
Petroleum Refining
Textiles
Raw Load (kg/yr)
TRI
29,568
40,182
2,282
31,001
141,553
138,152
PCS
248,400
4,105,388
656
402,741
54,463
119,621
HAZREL Score
TRI
5.2E+Q4
1.7E403
6.9E401
1.4E+03
3.9E+04
1.5E+03
PCS
3.4E+04
3.5E404
2.3E401
2.1E+04
7.3E-KB
2.3E403
5-4
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5.3. Pollution Prevention and Remediation Uses
State advisories limiting fish consumption and/or other uses by the general public due to
contamination by toxics have been issued for many of the nation's waterbodies. Contaminants
responsible for these advisories can be linked to point and nonpoint source releases, including
sediments. The Point Source Inventory can be used to identify potential sources of sediment
contaminants for a given watershed by providing information on nearby or upstream dischargers.
Further, the Inventory can provide data on specific chemicals that are likely to cause adverse
environmental impacts. This can provide EPA's Office of Enforcement and Compliance
Assurance (OECA) with the information necessary to identify potential discharges or industrial
activities that may be contributing to the water quality advisory.
The Point Source Inventory can be used to identify potential discharges of sediment
contaminants that may contribute to existing fish advisories. However, it is important to realize
that the Point Source Inventory alone does not contain all the information necessary to identify
the potentially responsible parties. Instead, it can be used to provide an initial indication of
possible facilities and to indicate a direction for the subsequent investigation of other data
sources.
The following steps outline an approach for using the Point Source Inventory data base
to screen potentially responsible parties:
« Examine EPA's fish advisory data base to identify chemical, State, EPA Region,
waterbody, and identification number for each advisory of interest;
* Assign the appropriate CAS number(s) to the chemical names used in the
advisories;
• Query the Point Source Inventory data base for facilities discharging that chemical
(identified by CAS number in data base);
• Produce reports listing the CAS numbers, chemical names, facility identification
numbers, facility names, city, State, and river reach number;
» Inspect the reports to identify potential facilities (i.e., the same watershed as
indicated in the fish advisory or an upstream watershed) and to eliminate others
from further consideration (i.e., downstream location or entirely different river
drainage system); and
5-5
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Investigate further the final list of potential facilities using other information
sources.
For example, Table 15 indicates current fish advisories for mirex and hexachlorobenzene.
Relevant information from the advisories can be compiled, and CAS numbers assigned to the
chemicals. After examining drainage patterns on a USGS map of 4-digit hydrologic subregions,
an ad-hoc query can be performed using Microsoft Access® to list all dischargers of mirex in
USGS region 04 (all dischargers in the Great Lakes region could potentially affect the
waterbodies listed on Table 15), and all dischargers of hexachlorobenzene in USGS subregions
0410 (the only subregion that could affect the Ashtabula River) and 0808 (the only subregkm that
could affect the Calcasieu Estuary and Bayou D'Inde).
Table 15
Subset of Current Fish Advisories in 1994
CAS No,
2385855
2385855
2385855
0118741
0118741
0118741
Chemical
Mirex
Mirex
Mirex
Hexachlorobenzene
Hexachlorobenzene
Hexachlorobenzene
State
NY
NY
NY
LA
LA
OH
EPA
Region
02
02
02
06
06
05
Waterbody
Lake Ontario
SL Lawrence River
Niagara River
Bayou D'Inde
Calcasieu Estuary
Ashtabula River
Advisory No.
ADV-0747
ADV-0748
ADV-0750
ADV-0169
ADV-2193
ADV-0786
Additional information will likely be needed to further investigate the final list of suspect
facilities based on the Point Source Inventory. A partial list of these sources and the information
contained within each include:
• TRI — The Toxic Release Inventory may be searched on-line to confirm the data
in the Point Source Inventory and to identify releases of the chemical to other
media.
• PCS — The Permit Compliance System may be searched on-line to gather
additional information about the facility, such as violation history and permit
limits.
5-6
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FINDS — The Facility Inventory System may be searched interactively to identify
other EPA program offices that have permitted the facility and to obtain
information about the owner of the facility.
WQAB — A set of mainframe interactive procedures developed and maintained
by the Monitoring Branch of the Assessment Watershed Protection Division.
Especially useful are the procedures RCHDAT (to retrieve reach numbers for
NPDES facilities) and PATHSCAN (to retrieve information on NPDES and
drinking water utilities located upstream or downstream from a specific location).
ReachScan — A PC-data base and program developed and maintained by OPPT
functions in a similar manner to PATHSCAN, allowing the retrieval of upstream
and downstream utilities relative to point source dischargers.
5.4. Sediment Permitting Uses
The Point Source Inventory can be used, in conjunction with the NSI, as a screening level
tool to identify current contaminant sources nearby or upstream from sediment with elevated
pollutant levels. Permit issuing authorities can then target these facilities for further assessment.
States and EPA Regional Offices would have the most practical use for the point source
inventory in helping to decide which watersheds and facilities should be the focus of permitting
efforts. EPA Headquarters can also use the Point Source Inventory and NSI to identify
watersheds and facilities where procedures for developing sediment quality-based permit limits
can be tested or demonstrated, to identify problem pollutants, and to evaluate whether current
point source permit limits are sufficiently protective of human health and the aquatic
environment, including sediments.
Potential permitting uses of Point Source Inventory data are possible. The NPDES
program offers a specific example of how these data can be used by a regulatory authority. In
many cases, EPA Regional Offices delegate NPDES permitting activities to individual States.
The State of North Carolina is a delegated State that has reorganized its permit reissuance
schedule such that all permits in a given river basin come up for renewal in the same year. This
schedule offers many opportunities for coordinating permitting and monitoring efforts and also
allows the State to examine cumulative pollutant load issues, such as downstream sediment
contamination. As an example, suppose dischargers within a specific river basin in North
Carolina are due for renewal of NPDES permits. As part of the initial analysis, the water quality
modeler/wasteload allocation specialist can examine available Point Source Inventory data in this
5-7
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basin. If the data indicate that the dominant facility, in terms of HAZREL score, is a specific
facility within that basin, this facility and other major dischargers of sediment contaminants could
be further evaluated. This could include specific modeling to determine if additional or more
stringent permit limits need to be established, or if sediment monitoring should be required.
The National Contaminated Sediment Management Strategy contains commitments from
over twenty-five EPA program offices to use the National Sediment Inventory, including
information on point source releases in activities involving assessment, source control, pollution
prevention and remediation. This chapter describes only a few of the possible uses identified in
the National Strategy. It is hoped that through these activities and others, the emerging problem
of contaminated sediments will be better understood and, therefore, more effectively managed
in the future.
5-8
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APPENDIX A
Sediment Hazard Scores and Supporting Data
-------
Table A1. Sediment Hazard Scores
Sorted by Chemical Name
CAS
Chemical Name
Chemical
Class
HAZARD
Score
TOXICITY
Score
FATE
Score
Aqueous
Biodeg-
radation
Score
Air-Water
Partition
Score
Sediment
Adsorption
Score
83329
208968
15972608
309002
120127
7440360
7440382
71432
56553
50328
205992
191242
207089
100447
319846
319868
58899
608731
92524
75274
23184669
85687
7440439
63252
75150
57749
108907
2921882
7440473
218019
7440508
98828
110827
Acenaphthene
Acenaphthylene
AJachlor / Lasso
Aldrin
Anthracene
Antimony
Arsenic
Benzene
Benzo(a)anttiracene
Benzo(a)pyrene
Benzo(b)fiuoranthene
Benzo(ghi)perylene
Benzo(k)fluoranthene
Benzyl chloride
[BHC, alpha-
[BHC, delta-
BHC, gamma- \ Undane
BHC, technical grade
Bipheny)
Bromodichloromethane
Butachlor
Butyl benzyl phthalate
Cadmium
Carbaryl \ Sevin
Carbon dtsutfide
Chlordane
Chlorobenzene
Chlorpyrifos \ Dursban
Chromium
Chrysene
Copper
Cumene
Cyclohexane
PAH
PAH
Pesticide
Pesticide
PAH
Element
Element
Other
PAH
PAH
PAH j
PAH
PAH
Halogenated
Pesticide
Pesticide
Pesticide
Pesticide
PAH
Halogenated
Pesticide
Other
Element
Pesticide
Contains N.S, or P
Pesticide
Halogenated
Pesticide
Element
PAH
Element
Other
Other
4.7E-02
1.1E-03
3.7E-03
8.3E+02
1.5E+01
2.0E-01
5.9E-02
8.8E-03
1.4E+00
1.6E-02
7.7E-02
9.8E-03
2.0E+00
1.0E+00
3.0E+02
9.0E-01
2.2E+02
1.1E+02
1.8E-04
7.7E-02
1.5E-03
1.0E-04
5.6E-01
5.2E+02
1.9E-03
1.4E+03
1.3E-03
5.4E+00
3.4E-02
6.4E-02
1.3E-02
1.9E-05
2.1E-03
7.7E-01
1.4E-02
1.8E-02
S.OE-i-03
2.5E+01
4.0E-02
1.2E-02
1.2E+01
7.4E-01
2.2E-02
9.2E-02
4.7E-03
2.7E-01
2.9E+02
1.1E+03
8.8E+00
2.9E+02
6.1E+02
6.0E-02
1.1E+02
6.2E-03
5.9E-03
1.1E-01
2.7E+04
3.3E+00
6JE+02
8.4E-02
1.7E+01
6.9E-03
2.2E-02
2.6E-03
1.4E-02
7.3E-02
6.1E-02
7.9E-02
2.1E-01
1.7E-01
5.9E-01
5.0E+00
5.0E+00
7.2E-04
2.0E+00
7.2E-01
8.3E-01
2.1E+00
7.6E+00
3.6E-03
2.7E-01
1.0E-01
7.6E-01
1.8E-01
3.0E-03
6.8E-04
2.5E-01
1.7E-02
5.0E+00
1.9E-02
5.9E-04
2.1E+00
1.6E-02
3.2E-01
5.0E+00
2.9E+00
5.0E+00
1.3E-03
2.9E-02
4.0E-01
2.4E-01
4.0E-01
2.3E+00
1.8E+00
1.0E+01
1.0E+01
6.3E-02
2.7E+00
2.1E*00
2.4E+00
2.6E+00
8.5E+00
1.1E-01
5.3E-01
4.0E-01
1.6E+00
4.0E-01
2.8E-02
5.9E-02
4.0E-Q1
2.8E-02
1.0E*01
1.2E-01
4.3E-02
5.5E+00
5.9E-01
4.0E-01
1.0E+01
4.0E+00
1.0E+01
3.2E-02
7.1E-01
3.0E-01
6.0E-01
1.0E+00
2.3E-01
5.1E-01
1.0E+00
1.0E+00
1.0E-01
8.0E-01
3.4E-01
3.4E-01
8.1E-01
9.7E-01
2.0E-01
1.0E+00
9.6E-01
1.0E+00
1.0E+00
1.9E-01
1.0E-01
1.0E+00
8.4E-01
1.0E+00
1.0E+00
1.0E-01
4.4E-01
1.0E-01
1.0E+00
1.0E+00
8.0E-01
1.0E+00
1.0E-01
1.0E-01
5.0E-01
5.6E-01
5.3E-01
3.1E-01
6.5E-01
5.0E-01
L_ 5.0E-01
1.1E-01
9.1E-01
lOE+OO
1.0E+00
lOE-t-00
9.3E-01
1.6E-01
5.1E-01
2.7E-01
4.7E-01
4.5E-01
5.5E-01
1.1E-01
6.2E-01
7.3E-01
5.0E-01
1.6E-01
14E-01
8.7E-01
2.7E-01
8.1E-01
5.0E-01
9.1E-01
5.0E-01
4.2E-01
4.0E-01
PageA1-1
-------
Table A1. Sediment Hazard Scores
Sorted by Chemical Name
CAS
Chemical Name
Chemical
Class
HAZARD
Score
TOXICITY
Score
FATE
Score
Aqueous
Biodeg-
radation
Score
Air-Water
Partition
Score
Sediment
Adsorption
Score
1861321
72548
72559
50293
333415
132649
53703
124481
95501
541731
106467
91941
75718
75354
156605
78875
120365
84662
105679
84742
121142
115297
1031078
72208
76131
100414
106934
206440
86737
944229
76448
118741
87683
DCPA/Dacthal
ODD
DDE
DDT
Diazinon \ Spectracide
Dibenzofuran
Dibenzo(a,h)anthracene
Dibromochloromethane
Dichlorobenzene, 1,2-
Dichlorobenzene, 1,3-
Dichlorobenzene, 1,4-
Dichlorobenzidine, 3,3'-
Dichlorodifluoromethane
Dichloroethene, 1,1-
Dichloroethene, trans-1,2-
Dichloropropane, 1,2-
Dichlorprop
Diethyt phthalate
Dimethylphenol, 2,4-
Di-n-butyl phthalate
Dinitrotoluene, 2,4-
Endosulfan mixed isomers
Endosutfan sulfate
Endrin
Ethane, 1 , 1 ,2-trichloro-1 ,2,2-
Ethyfbenzene
Ethylene dibromide
Fluoranthene
Fluorene
Fonofos
Heptachlor
Hexachlorobenzene
Hexachlorobutadiene
Pesticide
Pesticide
Pesticide
Pesticide
Pesticide
Other
PAH
Halogen ated
Halogenated
Halogenated
Halogenated
Contains N,S, or P
Halogenated
Halogenated
Halogenated
Halogenated
Pesticide
Other
Other
Other
Contains N.S, or P
Pesticide
Pesticide
Pesticide
Halogenated
Other
Halogenated
PAH
PAH
Pesticide
Pesticide
Halogenated
Halogenated
4.4E-03
1.3E+03
2.8E+02
5.1E+02
4.0E+02
4.9E-04
1.9E-02
1.5E+00
1.7E-03
1.2E-03
1.6E-01
1.4E+02
4.9E-04
2.2E+00
1.7E^05
3.3E+00
2.4E-01
1.6E-03
1.4E-01
9.4E-04
1.8E+01
7.7E+00
2.1E+02
8.9E-01
6.4E-03
2.6E-05
6.1E+02
1.2E-01
4.1E-02
1.4E+00
4.3E+02
5.4E+02
1.5E-02
2.4E-02
1.9E+02
5.9E+01
9.0E+01
2.0E+03
3.3E-02
5.0E-03
1.6E+02
6.0E-02
3.8E-02
5.6E+00
4.7E*02
5.0E-02
2.7E+02
2.5E-02
2.8E+Q1
1.9E-I-00
3.5E-02
3.4E+01
1.9E-02
2.6E+02
5.2E+02
1.6E+03
2.4E+01
2.2E-01
1.9E-02
8.5E+04
1.6E-01
5.9E-01
7.3E+01
2.8E+04
8.0E+02
3.2E-01
1.9E-01
6.8E+00
4.7E-»-00
5.6E+00
1.9E-01
15E-02
3JE+00
9.7E-03
2.9E-02
3.2E-02
2.9E-02
3.0E-01
9.7E-03
8.1E-03
6.8E-04
1.2E-01
1.2E-01
4.5E-02
3.9E-03
5.1E-02
6.9E-02
1.5E-02
1.3E-01
3.8E-02
2.9E-02
1.3E-03
7.1E-03
7.5E-01
7.0E-02
1.9E-02
1.5E-02
6.8E-01
4.7E-02
3.6E-01
1.0E+01
1.0E+01
1.0E*01
4.0E-01
1.1E-01
3.7E+00
7.1E-01
7.1E-01
7.1E-01
7.1E-01
7.1E-01
7.1E-01
7.1E-01
5.9E-02
5.1E+00
4.0E-01
2.2E-01
2.8E-02
9.1E-02
7.1E-01
L 5.5E-02
4.0E-01
7.9E-02
1.4E-»-00
4.0E-02
7.1E-01
1JE*00
2.4E-01
1.1E-01
2.6E-01
8.3E+00
7.1E-01
1.QE+00
7.1E-01
4.7E-01
5.6E-01
1.0E+00
2.4E-01
1.0E+00
1.0E-01
1.0E-01
1.0E-01
1.0E-01
1.0E+00
1.0E-01
1.0E-01
1.0E-01
2.3E-01
1.0E+00
1.0E+00
9.0E-01
1.0E+00
9.7E-01
6.0E-01
1.0E+00
6.4E-01
1.0E-01
1.0E-01
1.0E-01
5.6E-01
4.7E-01
3.4E-01
1.0E-01
1.0E-01
1.0E-01
5.1E-01
9.5E-01
1.0E+00
1.0E+00
4.9E-01
5.6E-01
1.0E+00
1.4E-01
4.0E-01
4.5E-01
4.0E-01
4.2E-01
1.4E-01
1.1E-01
1.1E-01
1.0E-01
3.1E-01
2.0E-01
1.6E-01
5.6E-01
1.0E-01
4.5E-01
3.4E-01
7.4E-01
2.0E-01
3.4E-01
1.0E-01
7.8E-01
6.2E-01
5.1E-01
6.0E-01
8.2E-01
6.7E-01
PageA1-2
-------
Table A1. Sediment Hazard Scores
Sorted by Chemical Name
Aqueous
Biodeg-
Air-Water Sediment
Chemical HAZARD TOXICITY FATE radafon Partition Adsorption
CAS Chemical Name Class Score Score Score Score Score Score
77474
67721
193395
7439921
7439976
72435
2385855
91203
7440020
86306
101804
56382
12674112
11104282
11141165
53469219
12672296
11097691
11096825
82688
87865
85018
298022
129000
91225
7440224
100425
13071799
95943
51207319
1746016
79345
127184
Hexachlorocyclopentadiene
Hexachloroethane
lndeno{1 (2,3-cd)pyrene
Lead
Mercury
Methoxychlor
Mirex \ Dechlorane
Naphthalene
Nickel
Nitrosodiphenylamine, N-
Oxydianiline, 4,4'-
Parathion ethyl
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Pentachloronitrobenzene \ Quintozene
Pentachlorophenol
Phenanthrene
Phorate \ Famophos \ Thimet
Pyrene
Quinoline
Silver
Styrene
Terbufos \ Counter
Tetrachlorobenzene, 1,2,4,5-
Tetrachlorodibenzof uran ,2,3,7,8-
Tetrachlorodibenzo-p-dioxin, 2,3,7,8-
Tetrachloroethane, 1,1,2,2-
Tetrachloroethene
Halogenated
Halogenated
PAH
Element
Element
Pesticide
Pesticide
PAH
Element
Contains N.S, or P
Contains N,S, or P
Contains N.S, or P
PCB/Dioxin
PCB/Dioxin
PCB/Dioxin
PCB/Dioxin
PCB/Dioxin
PCB/Dioxin
PCB/Dioxin
Pesticide
Halogenated
PAH
Pesticide
PAH
Contains N.S, or P
Element
Other
Pesticide
Halogenated
PCB/Dioxin
PCB/Dioxin
Halogenated
Halogenated
1.3E-02
9.3E-02
3.5E-01
4.5E-02
3.8E+OQ
1.4E+02
2.6E+03
5.8E-04
1.0E-01
1.3E-01
3.5E-02
1.9E+01
5.1E+03
5.1E+03
5.1E+03
5.1E+03
5.1E+03
5.1E+03
5.1E+03
1.6E-01
1.9E+00
1.5E-01
4.7E+00
5.9E+00
3.1E+01
2.3E+00
6JE-05
1.1E+00
5.0E-02
3.1E+05
2.9E+07
2.2E+00
3.1E-03
2.2E+00
1.7E+00
1.5E-01
9.1E-03
7.7E-01
1.6E+02
2.7E+03
9.2E-02
2.0E-02
2.2E+QO
4.7E-01
1.4E*03
7.0E*03
7.0E+03
7.0E*03
7.0E+03
7.0E+03
7.0E+03
7.0E+03
9.7E-02
2.8E+00
5.6E-01
9.5E+02
1.7E+00
9.6E+03
4.5E-01
2.1E-02
5.2E-»-01
1.0E+00
4.2E+05
2.3E+07
4.1E+01
5.4E-02
5.9E-03
5.6E-02
2.3E+00
5.0E+00
5.0E+00
8.9E-01
9.8E-01
6.3E-03
5.0E*00
5.7E-02
7.5E-02
1.4E-02
7.4E-01
7.4E-01
7.4E-01
7.4E-G1
7.4E-01j
7.4E-01
7.4E-01
1.6E+00
6.7E-01
2.6E-01
4.9E-03
3.5E+00
3.2E-03
5.0E+00
3.2E-03
2.1E-02
4.7E-02
7.3E-01
1.3E+00
5.5E-02
5.7E-02
1.1E-01
7.1E-01
2.8E+00
1.0E+01
1.0E*01
1.4E+00
1.4E+00
7.9E-02
1.0E+01
1.3E-01
7.1E-01
2.8E-02
2.3E+00
2.3E+00
2.3E+00
2.3E+00
2.3E+00
2.3E+00
2.3E+00,
2.8E+00^
7.0E-01
7.9E-01
1.6E-02
7.5E+00
4.0E-02J
1.0E-»-01
1.1E-01
5.9E-02
7.1E-01
2.3E+00
2.3E+00
7.1E-01
1.4E+00
1.0E-01
1.5E-01
8.1E-01
1.0E+00
1.0E+00
1.0E+00
1.0E+00
2.1E-01
10E+00
1.0E-H30
1.0E+00
1.0E+00
3.6E-01
3.6E-01
3.6E-01
3.6E-01
3.6E-01
3.6E-01
3.6E-01
8.7E-01
1.0E*00
5.1E-01
8.2E-01
6.0E-01
8.2E-01
1.0E+00
1.0E-01
7.5E-01
1.0E-01
3.1E-01
5.6E-01
4.2E-01
1.0E-01
5.3E-01
5.1E-01
1.0E+00
5.0E-01
5.0E-01
6.2E-01
6.8E-01
3.8E-01
5.0E-01
4.2E-01
11E-01
4.9E-01
8.9E-01
8.9E-01
8.9E-01
8.9E-01
8.9E-01
8.9E-01
8.9E-01
6.7E-01
9.5E-01
6.5E-01
3.8E-01
7.7E-01
1.0E-01
5.0E-01
2.9E-01
4.6E-01
6.7E-01
1.0E+00
1.0E+00
1.8E-01
4.0E-01
PageA1-3
-------
Table A1. Sediment Hazard Scores
Sorted by Chemical Name
CAS
Chemical Name
Chemical
Class
HAZARD
Score
TOXICITY
Score
FATE
Score
Aqueous
Biodeg-
radation
Score
Air-Water
Partition
Score
Sediment
Adsorption
Score
56235
961115
108883
8001352
75252
120821
71556
79005
79016
75694
67663
1582098
95636
118967
1330207
108383
95476
106423
7440666
Tetrachloromethane
Tetrachlorvinphos \ Gardona \ Stirofos
Toluene
Toxaphene
Tribromomethane
Trichlorobenzene, 1,2,4-
Trichloroethane, 1,1,1-
Trtchloroethane, 1,1,2-
Trichloroethene
Trichlorofluoromethane
Trichloromethane
Trifluralin \ Treflan
Trimethylbenzene, 1,2,4-
Trinrtrotoluene
Xylenes
Xylene, m-
Xylene, o-
Xylene, p-
Zine
Halogenated
Pesticide
Other
Pesticide
Halogenated
Halogenated
Halogenated
Halogenated
Halogenated
Halogenated
Halogenated
Pesticide
Halogenated
Contains N,S, or P
Other
Other
Other
Other
Element
1.5E+00
1.3E-01
4.8E-04
6.6E+03
2.2E-02
5.0E-03
5JE-03
3.1E+00
1.1E-01
1.6E-03
1.6E-02
4.0E-01
5.1E-04
1.0E-01
2.1E-04
7.3E-05
4.3E-04
4.3E-04
1.9E-02
4.0E+01
7.9E-01
2.2E-01
9.6E+03
1.0E+OQ
1.3E-01
2.7E-01
2.6E+01
4.4E+00
5.4E-02
2.3E+00
1.2E+00
9.5E-02
2.1E+00
5.3E-02
1.8E-02
1.1E-01
1.1E-01
3JE-03
3.8E-02
1.7E-01
2.1E-03
6.9E-01
2.1E-02
3.8E-02
2.2E-02
1.2E-01
2.6E-02
2.9E-02
7.1E-03
3.3E-01
5.4E-03
4.9E-02
4.0E-03
4.0E-03
4.0E-03
4.0E-03
5.0E+00
1.4E+00
4.0E-01
8.7E-02
1.4E+00
7.1E-01
7.1E-01
1.1E+00
1.4E+OOJ
1.4E+OOj
1.4E+00
7.1E-01
4.0E-01
1.1E-01
7.1E-01
1.1E-01
1.1E-01
1.1E-01
1.1E-01
1.0E+01
1.0E-01
1.0E+00
1.0E-01
6.7E-01
1.6E-01
1,OE-01j
1.0E-01
8.4E-01
1.0E-01
1.0E-01
1.0E-01
1.0E+00
1.0E-01
4.4E-01
1.0E-01
1.0E-01
1.0E-01
1.0E-01
1.0E+00
2.7E-01
4.3E-01
2.5E-01
7.1E-01
1.8E-01
5.3E-01
2.0E-01
1.0E-01
1.8E-01
2.0E-01
1.0E-01
8.4E-01
4.9E-01
1.6E-01
3.6E-01
3.6E-01
3.6E-01
3.6E-01
5.0E-01
PageA1-4
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotective of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1%OC) (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1 % OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type (ppm) (ppm) (ppm) (ppm) (ppm) (ppm)
83329
208968
67641
98862
107028
107131
15972608
1 1 6063
309002
7429905
117793
97563
7664417
62533
120127
7440360
7440382
1332214
1912249
7440393
71432
92875
65850
106514
98077
56553
50328
205992
191242
207089
1 00447
7440417
Acenaphthene
Acenaphthylene
Acetone
Acetophenone
Acrolein
Acrylonitrile
Alachlor / Lasso
Aldicarb / Temik
Aldrin
Aluminum
Aminoanthraquinone, 2-
Aminoazotoluene, o-
Ammonia
Aniline
Anthracene
Antimony
Arsenic
Asbestos
Atrazine
Barium
Benzene
Benzidine
Benzole Acid
Benzoquinone, p-
Benzotrichloride
Benzo{a)anthracene
Benzo(a)pyrene
Benzo(b)fluoranthene
Benzo(ghi)perylene
BenzodOfKjoranthene
Benzyl chloride
Beryllium
4
4
4
4
2,4
8
1
1
8
4
8
1
8
4
1,4,5
4
1
8
1.3
71
5,8
15
0.000046
0,00001 2
57
0.001 1
0.00020
3.3
8.9
0.00031
0.041
25
85
0.22
0.082
0.00000010
0.65
0.000071
0.000060
1.4
45
11
2.1E+02
3.8
0.0035
SQC1
EQP1 -AQ
EQP1-AQ
EQP1-AQ
EQP1 -AQ
EQP1-HH
EQP1-HH
EQP1-AQ
EQP1-HH
EQP1 -AQ
EQP1-AQ
EQP1 -AQ
EQP1-HH J
ER-M
ER-M
EQP1-AQ
EQP1 -HH
EQP1-HH
AET
EQP1 -AQ
EQP1-HH
EQP1-HH
EQP1-HH
EQP1 -HH
EQP1-HH
EQP1 -HH
EQP1-HH
0.65
0.96
25
85
1.6
2.5
O.li
0.085
2
33
0.23
0.4
0.5
1.3
0.96
150
57
0.65
1.3
1.6
3.2
0.67
3.2
1.3
71
5.8
15
0.000046
0.016
62
0.001 1
0.0020
3.3
8.9
0.00031
0.58
0.22
0.61
0.011
13
0.000071
23
4.0
73
1.2E + 04
0.91
155
16
46
0.0062
0.000012
57
0.13
0.00020
0.0073
0.041
19
0.082
0.00000010
2.1E + 03
0.000060
1.4
45
11
2.1E + 02
3.8
0.0035
1.3
PageA2-1
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotectlve of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Nanw
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1 % OC) (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1 % OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type (ppmj (ppm) (ppm) (ppm) (ppm) (ppm)
319846
31985?
319868
58899
608731
92524
7440699
111911
1 1 1 444
108601
117817
54 2881
3540O432
7440428
75274
74839
101553
1 689845
23184669
1 23864
85687
744O439
7440702
63252
1563662
75150
786196
1 OO45973
1 33904
S7749
1067
108907
BHC, alpha-
BHC, beta-
BHC, delta-
BHC, gamma- \ Lindane
BHC, technical grade
Biphenyl
Bismuth
Bis(2-chloroethoxy) methane
Bis(2-chloroethyl) ether
Bis(2-chloroisopropyl) ether
Bis(2-ethylhexyl) phthalate
Bis(chloromethyl)ether
Bolster \ Sulprofos
Boron
Bromodichloromethane
Bromom ethane
Bromophenyl phenyl ether, 4-
Bromoxynil
Butachlor
Butyl acetate, n-
Butyl benzyl phthalate
Cadmium
Calcium
Carbaryl \ Sevin
Carbofuran \ Furadan
Carbon disulf Jde
Carbophenothion \ Trithion
Cesium -1 39
Chloramben
Chlordana
Chlorinated naphthalene, NOS
Chlorobenzene
2
8
9
4
4
6
2,4
1
8
4
2
1
2,4
8
2,4
1
8
1
1.7,9
0.00090
0.0039
0.11
0.0035
0.0016
17
0.00027
16
1.6E+05
0.0000018
4.3E+02
0.0088
0.015
43
4.5
161
0.90
171
9.0
0.00004
0.029
0.31
14
8.4
0.0015
12
EQP1-HH
EQP1 -HH
EQP1-AQ
EQP1 -AQ
EQP1 -HH
EQP1 -AQ
EQP1 -HH
EQP1 -AQ
EQP1 -HH
EQP1-HH
EQP1-AQ J
EQP1 -HH
EQP1-AQ
EQP1-AQ
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
ER-M
EQP1-AQ
EQP1-AQ
EQP1 -AQ
EQP1-AQ
EQP1 -HH
EQP1-HH
EQP1 -AQ
9
0.006
5
0.0005
1.3
0.063
5.1
1.4
1.7
0.11
0.0035
0.032
17
3.6
16
4.4E + 06
4.3E + 02
18
0.015
43
4.5
161
0.90
171
0.000036
0.029
0.31
14
22
0.011
12
0.00090
0.0039
1.1
0.0016
121
0.00027
67
1.6E + 05
0.0000018
0.0088
0.49
14
3,413
7.6
1.3
137
8.4
0.0015
119
PageA2-2
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotectlve of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1 % OC) (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1%OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type (ppm) (ppm( (ppm) (ppm) (ppm) (ppm)
510156
74975
75003
75014
110758
74873
25168052
91587
95578
7005723
2921882
7440473
18540299
218019
7440484
7440031
7440508
8001 S89
1319773
108394
95487
106445
98828
21725462
57125
110827
94826
1861321
72548
72559
50293
1163195
Chlorobenzilate
Chlorobromomethane
Chloroethane
Chloroethene
Chloroethylvinyl ether, 2-
Chloromethane
Chloromethylbenzene
Chloronaphthalene, 2-
Chlorophenol, 2-
Chlorophenylphenyl ether, 4-
Chlorpyrifos \ Oursban
Chromium
Chromium hexavalent
Chrysene
Cobatt
Columbium
Copper
Creosote
Cresols
Cresol, m-
Cresol, o-
Cresol, p-
Cumene
Cyanszine
Cyanide
Cyclohexane
DB, 2,4-
DCPA/Dacthal
ODD
DDE
DDT
Decabromodiphenyl oxide
1
4
4
4
2,4
4
9
2
5
2
8
8
8
9
4,5
5
4,5
4,5
1
4
3
1
6
11
12
5,0
0.12
16
0.023
33
0.44
46
0.059
145
45
390
1.7
1.7
1.3
1.9
72
3.9
0.000030
14
1.9
42
0.0053
0.017
0.011
2.7E + 07
[EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1-HH
EQP1-AQ
EQP1-HH
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
EQP1-AQ
ER-M
EQP1-HH
ER-M
EQP1-AQ
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
EQP1-AQ
EQP1-HH
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
EQP1 -HH
EQP1-HH
EQP1-HH
EQP1-AQ
145
2,8
390
0.02
0.015
0.007
80
0.4
70
0.002
0.002
0,001
260
1.4
390
0.016
0.009
0.034
11
12
5.0
6.0
16
3.7
33
0.44
46
0.059
409
1.7
1.7
1.3
1.91
72
69
0.000030
14
1.9
42j
0.38
3.0E+03
0.019
2.7E+07
L 20
0.12
0.023
1.4E + 02
0.58
17
45
21
25
22
23
340
3.9
1.2
6.9
765
0.0053
0.017
0.011
PageA2-3
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotective of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1%OC) (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1 % OCJ
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type ippm) (ppm) Ippm) !ppm) (ppm) (ppm)
13560899
78488
1740198
95807
333415
1 32649
53703
36128
124481
74953
1918009
25321226
95501
541731
106467
91941
75718
75343
1 07062
75354
156605
156592
75092
1 20832
94757
78875
5635442
542756
78886
1O061015
10061026
1 2O365
Dechlorane
OEF
Dehydroabietic Acid
Diaminotoluene, 2,4-
Diazinon \ Spectracide
Dibenzofuran
Dibenzo(a,h)anthracene
Dibromo-3-chloropropane, 1 ,2-
Dibromochloromethane
D ibrornomethane
Dicamba
Dichlorobenzenes
Dichlorobenzene, 1 ,2-
Dichlorobenzene, 1 ,3-
Dichlorobenzene, 1 ,4-
Dichlorobenzidine, 3,3'-
Dichlorodifluorom ethane
Dichloroethane, 1,1-
Oiohloroethane, 1 ,2-
Dichloroethene, 1,1-
Dichloroethene, trans-1 ,2-
Diehtoroethylene, cis-1 ,2-
Dichloromethane
Oichterophenol, 2,4-
Dichlorophenoxyacetic acid, 2,4-
Dichloropropane, 1 ,2-
Dichloropropene, 1,2-
Dichloropropene, 1 ,3-
Dichloropropena, 2,3-
Dichloropropene, cis-1 ,3-
Dichloropropene, trans-1 ,3-
Dich lor prop
9
1.9
5,9
2,4
1
4
4
7
4
4
4
4
5
5
1,9
4
9
4
4
3.1
0.00049
30
2.0E + 02
0.0025
0.0064
7.6
0.012
21
17
26
0.18
0.0021
20
10
0.030
0.0037
40
13
0.30
0.50
5.6
0.036
0,0090
0.091
0.091
0.52
EQP1 -AQ
EQP1-AQ
EQP1 -AQ
EQP1-HH
EQP1-HH
EQP1-HH
EQP1 -AQ
EQP1-AQ
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
EQP1-HH
EQP1-HH
EQP1-AQ
EQP1-AQ
EQP1-HH
EQP1-HH
EQP1 -HH
EQP1-HH
EQP1-HH
EQP1 -AQ
EQP1-HH
EQP1 -HH
EQP1-AQ
EQP1 -AQ
EQP1-AQ
EQP1-AQ
0.26
0.06
0.54
0.23
0.035
0.035
0.17
0.11
3.1
0.00049
30
3.1E + 05
56
21
7.6
0.012
21
17
26
17
6.0
20
10
3.3
10
128
21
16
0.50
67
5.6
0.0090
0.091
0.091
0.52
93
16
2.0E + 02
0.0025
0.0064
0.68
481
384
90j
0.18
0.0021
121
47
0.030
0.0037
40
13
0.30
5.6
5.6
0.036
0.63
5.3
5.3
PageA2-4
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotectlve of Actual Sediment Quality
Table A2, Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1%OC) (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1 % OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type (ppm) (ppm) (ppm) (ppm) (ppm) (ppm)
62737
115322
60571
84662
64675
1 1 9904
28804888
131113
75183
105679
84742
528290
99650
100254
534521
51285
121142
606202
1 1 7840
88857
78342
122667
298044
115297
1031078
959988
33213659
72208
7421934
76131
1 1 2345
563122
Dichlorvos
Dicofol \ Kelthane
Dieldrin
Diethyl phthalate
Diethylsulfate
Dimethoxybenzidine, 3,3'-
Dimethyl naphthalene
Dimethyl phthalate
Dimethyl sulfide
Dimethylphenol, 2,4-
Di-n-butyl phthalate
Dinitrobenzene, 1,2-
Dinitrobenzene, 1 ,3-
Dinitrobenzene, 1 ,4-
Dinitro-o-cresol, 4,6-
Dinitrophenol, 2,4-
Dinitrotoluene, 2,4-
Dinitrotoluene, 2,6-
Di-n-octyl phthalate
Dinoseb \ DNBP
Dioxathion
Diphenylhydrazine, 1 ,2-
Disulfoton
Endosulfan mixed isomars
Endosulfan sulfate
Endosulfan, alpha-
Endosulfan, beta-
End rin
Endrin aldehyde
Ethane, 1,1 ,2-trichloro-1,2,2-
Ethanol, 2-(2-Butoxyethoxy)-
Ethion \ Bladan
4
1
2
4
4
1,9
4
4
1,4
1,4
TA I
5
4,5
4
6
2
1
2
1
2
2
1
2,4
1
0.00000030
0.010
0.11
29
11
0.032
0.64
4.8
0.029
54
0.022
0.032
0.018
0.22
0.081
0.0039
0.028
4.4E + 05
0.14
0.00080
0.0038
0.00431
0.0019
0.00062
0.0019
0.001 9
0.042
0.000063
4.5
0.20
0.021
EQP1-AQ
EQP1-HH
SQC1
EQP1 -AQ
EQP1 -AQ
EQP1-HH
EQP1 -AQ
EQP1 -AQ
AET
EQP1 -AQ
EQP1 -AQ
EQP1-HH
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1-HH
EQP1 -AQ
EQP1 -HH
EQP1-AQ
EQP1-AQ
EQP1 -HH
EQP1-AQ
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
EQP1 -AQ
SQC1
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
EQP1 -AQ
0.008
0.045
0.00002
0.00002
0.2
0.071
0.029
1.4
6.2
0.00000030
2.1E + 02
0.11
29
11
2.1
0.64
4.8
3.6
54
0.022
1.0
0.018
0.22
0.081
0.019
0.028
7.6E + 05
0.14
0.00080
0.19
0,0043
0.0019
0.00062
0.0019
0.001 9
0.042
0.000063
4.5
0.20
0.021
0.00035
0.010
0.000018
339
0.032
1.1E + 03
4.2
1,298
0.032
0.15
0.93
4.3
0.0039
0.42
4.4E + 05
1.3
0.0038
0.080
0.069
0.069
0.069
0.56
0.022
3.7
0.11
0.042
Page A2-5
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotective of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1 % OC) (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1 % OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type (ppm) (ppm) (ppm) (ppml (ppm) (ppm)
13194484
141786
100414
106934
1 1 5902
55389
206440
86737
16984488
944229
7440564
744O575
76448
1024573
118741
87683
77474
67721
680319
51235042
123319
193395
7439896
7720787
78591
33820530
67630
120581
7439921
7439932
7439954
121755
Ethoprophos
Ethyl acetate
Ethylbenzene
Ethylene dibromide
Fensulfothion \ Desanit
Fenthion \ Baytex
Fluoranthene
Fluorene
Fluoride
Fonofos
Germanium
Gold
Heptachlor
Heptachlor epoxide
Hexachlorobenzene
Hexachlorobutadiene
Hexachlorocyclopentadiene
Hexachloroethane
Hexamethylphosphoramide
Hexazinone
Hydroquinone
IndenoO ,2,3-cdlpyrene
Iron
Iron sulfate (Iron)
Isophorone
Isopropalin
Isopropanol
Isosafrole
Lead
Lithium
Magnesium
Malathion
1,9
1,4
1
1
8
8
8
2
4
4
2,4
8
8
4
1
4,5
1
8
8
2
0.60
51
0.000012
0.0012
0.00033
6.2
1.7
0.014
0.00004
0.00021
0.0013
3.1
0.44
0.60
8.0
0.19
0.00015
6.5
1.2
44
0.011
17
110
0.00023
EQP1-AQ
EQP1-AQ
EQP1-HH
EQP1-AQ
EQP1 -AQ
SQC1
EQP1 -AQ
EQP1-AQ
EQP1-HH
LEQP1 -HH
EQP1-HH
EQP1 -AQ
EQP1-AQ
EQP1-HH
EQP1 -AQ
EQP1-AQ
EQP1-AQ
EQP1-HH
EQP1 -HH
EQP1 -AQ
EQP1-AQ
EQP1 -AQ
ER-M
EQP1-AQ
3.6
0.64
110
0.6
0.035
35
0.01
1.7
0.54
0.022
0.011
0.6
450
0.60
51
33
0.001 2
0.00033
6.2
2
0.014
0.00064
0.0077
6.0
L_ 3-1
0.44
37
8.0
0.19
0.0001 5
3.7E+03
5.2
44
0.011
17
0.00023
2.9E+02
320
0.00001 2
0.094
O.25
378
3,038
9.8
0.000036
0.00021
0.0013
16
1,500
0.60
67
0.38
6.5
1.2
1.1E + 03
5.4
6.2
PageA2-6
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotective of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1%OC) (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1%OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type (ppm! (ppm) (ppm) (ppm) (ppm) (ppm)
108316
7439965
94746
7439976
72435
624920
78933
108101
953173
90120
91576
120718
21087649
7786347
2385855
7439987
91203
134327
91598
7440020
98953
92933
1836755
99592
88755
1 00027
55185
62759
924163
621647
86306
10O754
Maleic anhydride
Manganese
MCPA
Mercury
Methoxychlor
Methyl disulfide
Methyl ethyl ketone
Methyl isobutyl ketone
Methyl trithion
Methylnaphthalene, 1-
Methylnaphthalene, 2-
Methyi-o-anisidine, 5-
Metribuzin
Mevinphos \ Phosdrin
Mirex \ Dechlorane
Molybdenum
Naphthalene
Naphthylamine, 1-
Naphthylamine, 2-
Nickel
Nitrobenzene
Nitrobiphenyl, 4-
Nitrofen \ TDK
Nitro-o-anisidine, 5-
Nitrophenol, 2-
Nitrophenol, 4-
Nitrosodiethylamine, N-
Nitrosodimethylamine, N-
Nitrosodi-n-butylamine, N-
Nitrosodi-n-propylamine, N-
Nitrosodiphenylamine, N-
Nitrosopiperidine, N-
4
8
1,9
1,9
4
4
1.9
1.9
2,9
4
1,4
1,4
8
1
1
4
1
1
4 |
4,5
4,5,
1,4
2,4
1,4
2,4
1,4
0.000094
1.3
0.0063
5.1
8.5
0.67
0.67
1.1
2.0
0.000000032
0.00037
11
2,2
2.4
50
1.1
33
3.2E + 02
16
2.0
1.0,
0.0000 Ijj
0.000022
0.000087
0.000058
0.45
8.6
EQP1 -AQ
ER-M
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
ER-M
ER-M
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
EQP1 -AQ
EQP1-AQ
EQP1 -AQ
EQP1 -AQ
ER-M
EQP1-HH
EQP1-AQ
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1 -HH
EQP1-HH
EQP1 -HH
EQP1 -HH
EQP1-HH
EQP1 -AQ
1.3
0.67
0.67
2.1
50
0.15
0.065
0.065
0.34
30
0.41
0.67
2.1
140
0.028
0.000094
0.0063
5.1
8.5
1.1
2.0
0.000000032
0.00037
11
2.2
2.4
1.5
33
3.2E + 02
16
2.0
1.0
0.30
0.011
28
8.6
1.4
1.2E-I-02
33
63
3.3
720
1.1
0.00001 1
0.000022
0.000087
0.000058
0.45
PageA2-7
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over-or Underprotectlve of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1 % OC) <1%OC| Criteria
Screening Median Low Threshold Aquatic Life Human Health (1 % OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm} Type (ppm) (ppmt (ppm) (ppm) (ppm) (ppm)
101804
1000
59507
56382
298000
12674112
1 1 1 04282j
11141165
53469219
1 2672296
11097691
11096825
40487421
608935
82688
87865
72560
85018
108952
298022
85449
88891
744O064
1336363
7440097
13966002
1 06503
1610180
7287196
2395O585
1918167
\ 39402
Oxydianiline, 4,4'-
PAH Compounds
Parachlorometacresol
Parathion ethyl
Parathion methyl
PCB-1016
PCB-1221
PCB-1 232
PCB-1 242
PCB-1 248
PCB-1 254
PCB-1 260
Pendimethalin/Prowl
Pentachlorobenzene
Pantachloronitrobenzene
Pentachlorophenol
PerthaneVEthylan
Phenanthrene
Phenol
Phorate \ Famophos \ Thimet
Phthalic anhydride
Picric acid
Platinum
Poiychlorinated biphenyls
Potassium
Potassium-40
p-Phenylenediamine
Prometon \ Pram it ol
Prometym \ Caparol
Pronamide
Propachlor
Propazine
7
5
3
1
1,9
2
1
4,5
4
5
8
U
8
8
4
1
1
1
4
1
2.1
7.4
0.00071
0.25
0.00014
0.00014
0.00014
0.00014
0.00014
0.00014
0.00014
3.3
10
0.36
43
1.8
0.42
0.001 1
0.11
0.45
0.0001 4
0.19
25
4.2
38
0.010
17
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1-HH
EQP1-HH
EQP1-HH
EQP1-HH
EQP1-HH
EQP1-HH
EQP1-HH
EQP1-HH I
EQP1-HH
EQP1-HH
AET
EQP1 -AQ
SQC1
AET
EQP1-AQ
EQP1 -AQ
EQP1 -AQ
EQP1 -HH
EQP1 -AQ
EQP1-HH
EQP1-HH
EQP1 -AQ
EQP1 -AQ
EQP1 -HH
35
0.4
0.4
0.4
0.4
0.4
0.4
0.4
1.38
0.4
4
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.225
0.05
5.2
6.13
0.13
0.13
0.13
0.13
0.13
0.13
0.36
1.5
0.42
0.13
2.1
7.4
0.00071
2.5
0.045
0.045
0.045
0.045
0.045
0.045
0.045
1.4E+02
22
82
43
1.8
0.76
0.001 1
0.11
0.45
0.045
0.19
2.0E+02
42
38
0.010
20
8.2
0.25
0.00014
0.00014
0.00014
0.00014
0.00014
0.00014
0.00014
3.3
10
51
1.4E + 03
0.060
38
0.00014
10
25
4.2
7.2E+04
5.9
17
1.8
PageA2-8
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Under protective of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Nemo
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1%OC) (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1 % OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type (ppm) (ppm) (ppm) (ppm) (ppm) (ppm)
1 29000
91225
13982633
1 08463
94597
7782492
7631869
744O224
1 22349
7440235
7440246
10O425
744O257
1 3494809
13071799
886500
95943
51207319
1746016
79345
25322207
127184
56235
58902
961115
1O9999
7440280
744O315
744O326
1 1 9937
1 O8883
26471625
Pyrene
Qu incline
Radium 226
Resorcinol
Safrole
Selenium
Silica
Silver
Simazine
Sodium
Strontium
Styrene
Tantalum
Tellurium
Terbuf os \ Counter
Terbutryn
Tetrachlorobenzene, 1 ,2,4,5-
Tetraehlorodibenzofuran, 2,3,7,8-
Tetraehlorodibenzo-p-dioxin, 2,3,7,8-
Tetrachloroethane, 1,1,2,2-
Tetrachloroethane, NOS
Tetrachloroethene
Tetrachloromethane
Tetrachlorophenol, 2,3,4,6-
Tetrachlorvinphos \ Gardona
Tetrahydrofuran
Thallium
Tin
Titanium
Tolidine, o-
Toluene
Toluene diisocyanate
8
2,4
1
8
8
1
8
8
8
8
1
7 ,
1,5
4
8
8
8
1
9
0.59
0.00010
3.4
20
2.2
0.014
48
0.019
1.2
1.0
0.00000037
0.000000044
0.025
0.025
18
0.025
10
1.3
15
0.29
4.5
EQP1-HH
EQP1 -HH
EQP1 -AQ
EQP1 -AQ
ER-M
EQP1-AQ
EQP1-AQ
EQP1 -AQ
EQP1-HH
EQP1 -HH
EQP1 -HH
EQP1 -HH
EQP1-HH
EQP1 -HH
EQP1 -AQ
EQP1 -HH
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
EQP1 -AQ
2.2
2.2
0.35
1
2.6
6.1
0.057
97
0.74
3.4
20
0.014
48
0.01916
3.9
40
0.00001 1
0.000001 2
16
16
18
19
10
1.3
15
0.29
4.5
0.59
0.00010
15
1,132
0.385
1.2
1.0
0.00000037
0.000000044
0.025
0.025
77
0.025
3.7E+02
34
902
PageA2-9
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotective of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1%OC) (1 % OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1%OC)
Values Guideline ER-M ER-L AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type Ippm) !ppm) Sppm) (ppm) (ppm) (ppm)
95534
8001352
75252
12002481
87616
120821
25323891
71556
79005
79016
75694
B2686
67663
25167822
95954
88062
93765
93721
1582098
95636
118967
121824
115866
126727
7440337
7440611
51796
7440622
108054
1 330207
108383
95476
Toluidine, o-
Toxaphene
Trtbromomethane
Trichlorobenzenes
Trichlorobenzene, 1 ,2,3-
Trichlorobenzene, 1 ,2,4-
Trichloroethane
Trichloroethane, 1,1,1-
Trichloroethane, 1,1,2-
Trichloroethene
Trichlorofluoromethane
Trichlorofon \ Oylox
Trichloromethane
Trichlorophenol
Trichlorophenol, 2,4,5-
Trichlorophenol, 2,4,6-
Trichlorophenoxyacetic acid, 2,4,5-
Trichlorophenoxypropionic acid, 2,4,5-
Trif luralin \ Tref Ian
Trimethylbenzene, 1 ,2,4-
Trirtitrotoluene
Trinitro-triazine, hexahydro-/
Triphenyl phosphate
Tris(2,3-dibromopropyl>phosphate
Tungsten
Uranium
Urethane
Vanadium
Vinyl acetate
Xylenes
Xylene, m-
Xylene, o-
4
7
2
7
4
7
2,5
5
5
5
9
2
1
8
8
4
8
2,4
0.019
0.00010
1.0
2.6
3,3
7.7
21
3.7
0.039
0.23
18
0.00000025
0.43
0.15
1.9
0.14
0.22
2.3
0.83
11
0.47
60
1i
5.6
0.073
19
55
9.2
EQP1-AQ
EQP1-AQ
EQP1-HH
EQP1 -AQ
EQP1-AQ
EQP1-HH
EQP1-AQ
EQP1 -AQ
EQP1-HH
EQP1-AQ
EQP1-AQ
EQP1-AQ
EQP1-HH
EQP1-HH
EQP1-AQ
EQP1-HH
EQP1-AQ
EQP1-AQ
EQP1-HH
EQP1 -AQ
EQP1-AQ
EQP1-AQ
EQP1 -AQ
EQP1 -AQ
EQP1-AQ
EQP1-AQ
EQP1-AQ
EQP1 -AQ
0.031
0,031
0.04
0.04
0.04
0.019
0.00010
31
2.6
3.3
24
21
3.7
12
0.23
18
0.00000025
5.8
1.5
1.9
1.4
0.22
2.3
4.0
11
0.47
60
19
5.6
0.073
19
55
9.2
0.00039
1.0
7.7
7.7
2,955
0.039
189
2.4
0.43
0.15
31
0.14
18
22
0.83
1,449
1,449
1,449
PageA2-10
-------
VALUES INTENDED AND APPROPRIATE ONLY FOR SCREENING LEVEL ANALYSIS IN THIS STUDY:
May Be Over- or Underprotective of Actual Sediment Quality
Table A2. Sediment Chemistry Screening Values
Sorted by Chemical Name
Estimated Equilibrium Equilibrium Sediment
Sediment Effects Effects Apparent Partitioning Partitioning Quality
Chemistry Range Range Effects (1%OC! (1%OC) Criteria
Screening Median Low Threshold Aquatic Life Human Health (1 % OC)
Values Guideline ER-M ER4. AET EP1-AQ EP1-HH SQC1
CAS Chemical Name Code (ppm) Type (ppm) (ppm) (ppm) (ppm) (ppm)
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICIW
CAS Chemical Name ug/L Code Species Reference
83329
208968
67641
98862
107028
107131
15972608
116063
309002
7429905
117793
97563
7664417
62533
120127
7440360
7440382
1332214
1912249
7440393
71432
92875
65850
106514
98077
56553
50328
205992
191242
207089
100447
Acenaphthene
Acenaphthylene
Acetone
Acetophenone
Acrolein
Acrylonitrile
Alachlor / Lasso
Aldicarb \Temik
Aldrin
Aluminum
Aminoanthraquinone, 2-
Aminoazotoluene, o-
Ammonia
Aniline
Anthracene
Antimony
Arsenic
Asbestos
Atrazine
Barium
Benzene
Benzidine
Benzole Acid
Benzoquinone, p-
Benzotrichloride
Benzo(a)anthracene
Benzo(a)pyrene
Benzo(b)flu0ranthene
Benzo{ghi)perytene
Benzo(k)fluoranthene
Benzyl chloride
1688
6210000
162000
14
9300
51
3
748
25300
1246
250
2,78J
88^
360H
310
410000
5300
600
180000
45
33000
10
5
1210
5000
et.9
L9
LS
L9
L4
L4
C
C
@L9
@L9
L4
L9
CD
C
L9
L4
L9
L4
L9
L9
LA2
L9
L9
@L9
L9
RT
FM
FM
FM
BG
DM
NA
NA
FM
RT
DM
BG
NA
NA
CF
DM
RT
DM
MF
RT
DM
DP
DP
DM
FM
ERL QSAR 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC.80-
USEPAAWQC, 80-
ERL QSAR 8/93
ERL QSAR 8/93
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
23
665
1000000
31094
5.8
930
747
9.3
0.22
87
2530
125
4
2.2
30
190
60
530
60
17178
4.5
3300
1
0.08
121
500
FCV
@LM
REP
@LM
@ACR
@A10
LM
@ACR
LC
C
@A10
@A10
REP
REP
CD
C
LM
@A10
@A1Q
@LM
@A10
@A10
@A10
GRO
@A10
@A10
NA
FM
DM
FM
DM
FM
FM
RT
NA
DM
DM
NA
NA
BT
FM
RT
USEPAAWQC, 80-
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
Calletal, 92
ERL ASTER 8/93
USEPAAWQC.80-
USEPAAWQC, 80-
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC.80-
USEPAAWQC, 80-
Verschueren, 83
ERL QSAR 8/93
ERL AQUIRE 8/93
Page A3-1
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
7440417
319846
319857
319868
58899
608731
92524
7440699
111911
111444
108601
117817
542881
35400432
7440428
75274
74839
101553
1689845
23184669
123864
85687
7440439
7440702
63252
1563662
75150
786196
10045973
133904
57749
Beryllium
BHC, alpha-
BHC, beta-
BHC, deita-
BHC, gamma- \ Lindane
BHC, technical grade
Biphenyl
Bismuth
Bis(2-chioroethoxy) methane
Bis(2-chloroethyl) ether
Bts(2-chlorotsopropyt) ether
Bts(2-ethylhexyt) phthalate
Bis(chloromethyl)ether
Botetar V Sulprofos
Boron
Bromodichloromethane
Bromomethane
Bromophenyl phenyl ether, 4-
Bromoxynil
Butachlor
Butyl acetate, n-
Butyt benzyl phthalate
Cadmium
Calcium
Carbaryl \ Sevin
Carbofuran \ Furadan
Carbon disutfide
Carbophenothion \Trithion
Cesium-139
Chloramben
Chlordane
130
800
800
800
2
9
360
238000
126157
400
5200
43200
2000
360
2100
3000
18000
2320
3,9
1.7
844
2100
220
45982
2.4
19
L4
L4
L4
C
L9
L4
L9
@L9
C
L9
@L9
L4
L4
L9
L4
L9
L9
C
L9
L9
L4
L9
@L9
C
GU
DM
DM
DM
NA
CT
DM
DM
CF
NA
CA
CF
DM
DM
FM
CD
FM
FM
NA
SF
FM
DM
FM
CF
NA
USEPAAWQC, 80-
ERIAQUIRE8/93
ERLAQUIRE8/93
ERLAQUIRE8/93
USEPAAWQC, 80-
ERLAQUIRE8/93
ERLAQUIRE8/93
USEPAAWQC, 80-
ERLQSAR8/93
USEPAAWQC, 80-
Worthing, 91
ERL QSAR 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
5,3
20
20
20
0.08
0.9
170
19000
41435
160
520
15215
100
42
504
760
1800
260
1.1
0.02
98
210
8,45
16366
0.0043
LC
REP
REP
REP
C
@A10
REP
LC
@LM
LL
@A10
@LM
REP
@LM
LM
REP
@A10
REP
C
C
LM
@A10
LM
@LM
C
DM
WS
WS
WS
NA
DM
FM
FM
NA
FM
DM
FM
FM
CD
DM
NA
NA
FM
FM
FM
NA
USEPAAWQC, 80-
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL QSAR 8/93
USEPAAWQC, 80-
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
Calletal, 92
ERL AQUIRE 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
USEPAWQC.72
Calletal, 92
Calletal, 92
ERL QSAR 8/93
USEPAAWQC, 80-
PageA3-2
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
1067
108907
510156
74975
75003
75014
110758
74873
25168052
91587
95578
7005723
2921882
7440473
18540299
218019
7440484
7440031
7440508
8001589
1319773
108394
95487
106445
98828
21725462
57125
110827
94826
1861321
72548
Chlorinated naphthalene, NOS
Chlorobenzene
Chlorobenzilate
Chlorobromomethane
Chloroethane
Chloroethene
Chloroethyrvinyl ether, 2-
Chloromethane
Chloromethyl benzene
Chloronaphthalene, 2-
Chlorophenol, 2-
Chlorophenylphenyl ether, 4-
Chlorpyrtfos V Dursban
Chromium
Chromium hexavalent
Chrysene
Cobalt
Columbium
Copper
Creosote
Cresote
Cresol, m-
Cresol, o-
Cresol, p-
Cumene
Cyanazine
Cyanide
Cydohexane
DB, 2,4-
DCPA/Dacthal
ODD
954
2370
550
67000
65614
79560
350000
550000
5000
954
3910
575
0.083
1700
16
1020
18
22800
8900
8400
7500
6320
86000
22
4530
2000
6200
0,6
@L9
L9
L4
L9
@L9
@L9
L9
L9
L9
@L9
L4
@L9
C
C
C
@L9
C
L9
L9
L9
L9
L9
L4
C
L9
L9
L9
L9
RT
GF
DM
CA
CF
CF
BG
BG
FM
RT
DM
RT
NA
NA
NA
DM
NA
FM
RT
RT
RT
FM
DM
NA
FM
RT
SC
NA
ERL QSAR 8/93
ERLAQUIRE8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL ASTER 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
ERL QSAR 8/93
USEPAAWQC. 80-
ERL ASTER 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
LERL ASTER 8/93
ERL AQUIRE 8/93
Mayer et al, 86
USEPAAWQC, 80-
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
310
2100
55
49211
21069
25144
89493
47635
500
310
300
46
0.041
210
11
102
48.7
12
2280
1809
1809
2570
2600
47123
5.2
622
200
620
0.06
@LM
GRO
@A10
@LM
@LM
@LM
@LM
@LM
@A10
@LM
REP
@LM
C I
c I
C
@A10
GRO
C
@A10
@LM _j
@LM
GRO
ECGR
@LM
C
@LM
@A10
@A10
@A10
FM
RT
FM
FM
FM
FM
FM
FM
DM
FM
NA
NA
NA
FM
NA
FM
FM
FM
GA
FM
NA
FM
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL ASTER 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL QSAR 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
ERL QSAR 8/93
Page A3-3
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
72559
50293
1163195
13560899
78488
1740198
95807
333415
132649
53703
96128
124481
74953
1918009
25321226
95501
541731
106467
91941
75718
75343
107062
75354
156605
156592
75092
120832
94757
78875
5635442
542756
DDE
DDT
Decabromodiphenyl oxide
Dechlorane
DEF
Dehydroabtetic Acid
Diaminotoluene, 2,4-
Diazinon \ Spectracide
Dibenzofuran
Dibenzo(a,h)anttuacene
Dibromo-3-chloropropane, 1 ,2-
Dibromochloromethane
Dlbromomethane
Dicamba
Dichlorobenzenes
Dichlorobenzene, 1,2-
Dichlorobenzene, 1.3-
Dichlorobenzene, 1,4-
Dichlorobenzidine, 3,3'-
Dichlorodrfluoromettiane
Dichloroethane, 1,1-
Dichloroethane, 1,2-
Dichloroethene, 1,1-
Dichloroethene, trans-1,2-
Dichloroettiylene, cis-1,2-
Dichloromethane
Dichlorophenot, 2,4-
Dichlorophenoxyacetic acid, 2,4-
Dichloropropane, 1,2-
Dichloropropene, 1,2-
Dichloropropene, 1,3-
1050
1.1
6520
27
2100
1420000
1700
702
16200
34000
153993
3900
1580
1700
1120
2178
39268
51253
116000
108000
220000
135000
330000
1240
160700
127000
239
L9
C
@L9
L9
L9
L9
4
©L9
LA4
@L9
@L9
L9
L9
L4
LL9
@L9
@L9
L9
L9
L9
L4
L9
L9
L9
L9
L9
L9
NA
NA
FM
SC
FM
FM
DM
RT
BG
CA
CF
SC
RT
DM
RT
RT
CF
CF
FM
FM
DM
BG
FM
GF
LB
FM
FM
USEPAAWQC.80-
USEPAAWQC, 80-
ERL QSAR 8/93
Mayer et al, 86
ERL ASTER 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
105
0,001
652
0.76
210
142000
0.009
280
70
15670
14607
49932
390
763
763
763
763
218
13641
17251
11000
8614
110000
28696
82500
70
23300
6000
24
@A10
C
@A10
GRO
@A10
@A10
C
LO
@A10
LM
@LM
@LM
@A10
LL
LL
LL
LL
@A10
@LM
@LM
REP
@LM
LO
@LM
GRO
LC
REP
GRO
@A10
NA
RT
NA
DM
FM
FM
FM
NA
NA
NA
NA
FM
FM
DM
FM
DM
FM
FM
RT
CD
FM
USEPAAWQC, 80-
ERL AQUIRE 8/93
USEPAWQC. 72
LeWanc, 80
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL QSAR 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
Leblanc, 80
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
PageA3-4
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
78886
10061015
10061026
120365
62737
115322
60571
84662
64675
119904
28804888
131113
75183
105679
84742
528290
99650
100254
534521
51285
121142
606202
117840
88857
78342
122667
298044
115297
1031078
959988
33213659
Dichloropropene, 2.3-
Dichloropropene, cis-1,3-
Dichtoropropene, trana-1,3-
Dichtorprop
Dichtorvos
Dicofol \ Ketthane
DieWrin
Diethyl phthalate
Diethyteutfate
Dimethoxybenzidine, 3,3'-
Dim ethyl naphthalene
Dimethyl phthalate
Dimethyl sulfide
Dimethylphenol, 2,4-
Di-n-butyt phthalate
Dinitrabenzene, 1 ,2-
Dinitrobenzene, 1 ,3-
Dinitrobenzene, 1 ,4-
Dinitro-o-cresol, 4.6-
Dinitrophenol, 2,4-
Dinttrotoluene, 2,4-
Dinitrotoluene, 2,6-
Di-n-octyl phthalate
Dinoseb \DNBP
Dioxathion
Diphenylhydrazine, 1,2-
Dtsutfoton
Endosuffan mixed isomera
Endosutfan sutfate
Endosulfan, alpha-
Endosutfan, beta-
6150
6150
600
0.1
210
2.5
31800
820000
36069
[ 33000
242691
2120
850
600
43000
603
66
3970
24300
18500
690
32
0,35
270
3.9
0.22
0.22
0.22
0.22
L9
L9
Li
L9
L9
C
L9
@L9
©19
L4
@L9
L9
L9
L9
L4
L9
L9
L9
L9
L9
LR7
L9
L4
L9
L9
C
C
C
C
DM
DM
CO
SF
RT
NA
FM
FM
CF
DM
CF
NA
FM
FM
DM
FM
RT
BG
FM
FM
CF
LT
DM
BG
GS
NA
NA
NA
NA
USEPAAWQC, 80-
USEPAAWQC, 80-
ERLAQUIRE8/93
ERLAQUIRE8/93
ERL ASTER 8/i3
USEPAAWQC, 80-
ERLAQUIRE8/93
ERL QSAR 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
ERL QSAR 8/93
USEPAAWQC, 80-
ERL ASTER 8/i3
ERL AQUiRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
Mayer et al, 86
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC.80-
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
10000
244
244
60
0.001
21
0.0625
10000
82000
3607
1700
70781
1970
500
60
3200
60
183
272
20
60
69
3.2
0.09
27
0.05
0,056
0,056
0.056
0.056
@A10
LM
LM
@A10
C
@A10
FCV
LO
@A10
@A10
LO
@LM
GRO
REP
@A10
REP
©A10
LM
LM
REP
REP
@A10
@A10
C
@A10
C
C
C
C
C
LC
LC
NA
NA
DM
DM
FM
FM
DM
DM
FM
FM
DM
DM
NA
NA
NA
NA
NA
NA
USEPAAWQC.80-
USEPAAWQC.80-
USEPAWQC.72
USEPAAWQC, 80-
LeWanc, 80
Lebtanc, 80
ERL QSAR 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
Calletal, 92
Calletal, 92
ERL ASTER 8/93
ERL ASTER 8/93
USEPAWQC.72
USEPAWQC.72
USEPAAWQC.80-
USEPAAWQC.80-
USEPAAWQC.80-
USEPAAWQC.80-
Page A3-5
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
72208
7421934
76131
112345
563122
13194484
141786
100414
106934
115902
5538i
206440
86737
16984488
944229
7440564
7440575
76448
1024573
118741
87683
77474
67721
680319
51235042
123319
193395
7439896
7720787
78591
33820530
Endrin
Endrin aldehyde
Ethane, 1,1,2-trichloro-1,2,2-
Ethanol, 2-{2-Butoxyethoxy)-
Ethion \ Bladan
Ethoprophos
Ethyl acetate
Ethyl benzene
Ethylene dibromide
Fensuffothion \ Desanit
Fenthion \ Baytex
Fluoranthene
Fluorene
Fluoride
Fonofos
Germanium
Gold
Heptachlor
Heptachlor epoxide
Hexachlorobenzene
Hexachlorobutadiene
Hexachlorocydopentadiene
Hexachloroethane
Hexamethylphosphoramide
Hexazinone
Hydroquinone
Indeno(1 ,2,3-ed)pyrene
Iron
Iron sulfate (Iron)
Isophorone
Isopropalin
0.18
0.18
3839
1300000
0.056
230000
9090
106051
10
0.62
3980
212
6.2
0.52
0.52
6
90
7
856
6670000
100000
44
1210
117000
100
C
C
@L9
L9
L4
L9
L9
@L9
L9
L4
L9
L4
L9
C
C
CD
L9
L9
L9
L4
L9
L9
@L9
L4
L9
NA
NA
RT
BG
DM
FM
FM
CF
SC
DM
BG
DM
BG
NA
NA
NA
FM
FM
BG
DM
RT
RT
DM
DM
FM
USEPAAWQC, 80-
USEPAAWQC.80-
ERL QSAR 8/93
ERLAQUIRE8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC.80-
USEPAAWQC.80-
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL QSAR 8/93
ERL ASTER 8/93
Worthing, 91
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
0.0616
0.0023
1574
162882
0.02
9650
4600
35485
1
0.006
6.16
8
160
0.2
0.0038
0.0038
3.68
9.3
5.2
540
745809
10000
4.4
121
11000
10
FCV
C
@LM
@LM
C
LM
ECGR
@LM
@A10
C
FCV
REP
@A10
@ACR
C
C
CD
LL
LC
LC
@LM
@A10
@A10
@A10
GRO
@A10
NA
NA
FM
FM
NA
FM
GA
FM
NA
NA
DM
FM
NA
NA
NA
FM
FM
FM
FM
FM
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL QSAR 8/93
ERL QSAR 8/93
USEPAWQC.72
Call et at, 92
ERL ASTER 8/93
ERL QSAR 8/93
USEPAWQC.72
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC, 80-
ERL QSAR 8/93
ERL ASTER 8/93
Page A3-6
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chomical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
67630
120581
7439921
7439932
7439954
121755
108316
7439965
94746
7439976
72435
624920J
78933
108101
953173
90120
91576
120718
21087649
7786347
2385855
7439987
91203
134327
91598
7440020
98953
92933
1836755
99592
88755
Isopropanol
Isosafrole
Lead
Lithium
Magnesium
Maiathion
Maleic anhydride
Manganese
MCPA
Mercury
Methoxychlor
Methyl dtsuffide
Methyl ethyl ketone
Methyl tsobutyj ketone
Methyl trtthion
Methylnaphthalene, 1-
Methylnaphthalene, 2-
Methyl-o-anisidine, 5-
Metribuzin
Mevinphos \ Phosdrin
Mirex \ Dechlorane
Molybdenum
Naphthalene
Naphthylamine, 1-
Naphthylamine, 2-
Nickel
Nitrobenzene
Nitrobiphenyl, 4-
Nitrofen\TOK
Nitro-o-antsidine, 5-
Nttrophenol, 2-
10000
10284
82
64700
0,5
111780
100000
2.4
0.5
3220000
505000
6.2
909
25025
43500
0.16j
100
1600
13713
13713
1400
119000
1697
300
170353
160000
L9
@L9
C
L9
L9
LA4
L9
C
L9
L9
L9
L9
@L9
@L9
L4
L4
L4
L9
@L9
@L9
C
L9
@L9
L9
@L9
L9
FM
RT
NA
SC
sc
BG
BG
NA
CY
FM
FM
SF
RT
CF
MG
DP
DP
NA
RT
RT
NA
FM
RT
SC
CF
FM
ERL ASTER 8/93
ERLQSAR8/93
USEPAAWQC, 80-
ERL ASTER 8/93
Mayer et al, 86
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL QSAR 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
ERL ASTER 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL ASTER 8/93
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
1000
4022
3.2
6470
0.1
11178
4254
0.012
0.03
263418
56200
0.62
900
309
2503
4350
0.002
0.001
620
1371
1371
160
2600
635
117.1
54717
3451
@A10
@LM
C
@A1Q
C
@A10
@LM
C
C
@LM
LM
@A10
@A10
@LM
@A10
@A10
C
C
LL
@A10
@A10^
C
REP
@LM
REP
@LM
@LM
FM
NA
NA
RM
NA
NA
FM
FM
FM
NA
NA
NA
NA
DM
FM
DM
FM
FM
ERL QSAR 8/93
USEPAAWQC, 80-
USEPAAWQC.80-
ERL QSAR 8/93
USEPAAWQC.80-
USEPAAWQC.80-
ERL QSAR 8/93
Calletal, 92
ERL QSAR 8/93
USEPAWQC, 72
USEPAAWQC.80-
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL ASTER 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL QSAR 8/93
PageA3-7
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
100027
55185
62759
924163
621647
86306
100754
101804
1000
59507
56382
298000
12674112
11104282
11141165
53469219
12672296
11097691
11096825
40487421
608935
82688
87865
72560
85018
108952
298022
85449
88891
7440064
1336363
Nitrophenol, 4-
Nitrosodiethyiamine, N-
Nitrosodimethylamine, N-
Nrtrosodi-n-butylamine, N-
Nitrosodhn-propylamine, N-
Nitrosodiphenylamine, N-
Nitrosopiperidine, N-
Oxydianlne, 4,4'-
PAH Compounds
Parachlorometacresol
Parathion ethyl
Parathion methyl
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Pendimethalin/Prowl
Pentachlorobenzene
Pentachloronitrobenzene \ Quintozene
Pentachtorophenol
Perthane\Ethylan
Phenanthrene
Phenol
Phorate \ Famophos \ Thimet
Phthalic anhydride
Picric add
Platinum
Polychlorinated biphenyte
7680
500000
280000
5850
1387363
20019
4050
0.065
2434
2
L 2
2
2
2
2
2
420
250
660
22
4
30
4200
0.6
560000
85000
0.32
L4
L9
L9
L9
@L9
@L9
L9
C
L9
L9
L9
19
L9
L9
L9
L9
L9
L9
LA2
C
L9
CD
L4
L9
LR7
L4
L9
DM
SC
SC
BG
DM
RT
FM
NA
BG
RT
RT
RT
RT
RT
RT
RT
CF
BG
CA
NA
RT
NA
DM
SC
ZF
DM
RT
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC. 80-
ERLQSAR8/93
ERL QSAR 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
ERL ASTER 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
^SEPAAWQC, 80-
USEPA AWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
Worthing, 91
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
1300
10200
4000
1000
381777
2002
1300
0.013
380
0.014
0.014
0.014
0.014
0.014
0.014
0.014
42
110
66
13
0.4
6.3
2560
0.06
44100
450
0.014
REP
ECGR
ECGR
LO
@LM
@A10
REP
C
GRO
C
C
C
C
C
C
C
@A10
REP
@A10
C
@A10
FCV
LL
@A10
REP
GRO
C
DM
GA
GA
DM
FM
DM
NA
FM
NA
NA
NA
NA
NA
NA
NA
ZF
NA
NA
NA
RT
RT
NA
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
Leblanc, 80
ERL QSAR 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
ERL ASTER 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC, 80-
ERL AQUIRE 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
Page A3-8
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
7440097
13966002
106503
1610180
7287196
23950585
1918167
139402
129000
91225
13982633
108463
94597
7782492
7631869
7440224
122349
7440235
7440246
100425
7440257
13494809
13071799
886500
95943
51207319
1746016
79345
25322207
127184
56235
Potassium
Potassium-40
p-Phenylenediamine
Prometon \ Pramitol
Prometyrn \ Caparol
Pronamide
Propachlor
Propazine
Pyrene
Quinoline
Radium 226
Resorcinol
Safrole
Selenium
Silica
Silver
Simazine
Sodium
Strontium
Styrene
Tantalum
Tellurium
Terbufos \ Counter
Terbutryn
Tetrachlorobenzene, 1,2,4,5-
Tetrachlorodibenzofuran, 2,3,7,8-
Tetrachlorodibenzo-p-dioxin, 2,3,7,8-
Tetrachloroethane, 1,1,2,2-
Tetrachloroethane, NOS
Tetrachloroethene
Tetrachloromethane
53200
380089
12000
2300
10639
170
11000
1010
10800
1000000
12509
20
4.1
90
1640000
4020
13.3
820
1200
0.01
20300
20300
4990
41400
L9
@L9
L9
L9
@L9
L9
L4
@L9
L9
L9
@L9
C
C
L9
L4
L9
L9
L9
L9
LO
L9
L9
L9
L9
SC
CF
RT
ZF
RT
RT
DM
DM
BA
FM
RT
MA
NA
PE
DM
FM
FM
RT
RT
NA
FM
FM
RT
FM
ERL ASTER 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
Worthing, 91
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
5320
38009
1200
1784
4278
17
2660
101
800
54800
4817
5
0.12
10
1020000
6800
0.462
82
120
4.1E-07
3.8E-08
6900
6900
840
3400
@A10
@A10
@A10
@LM
@LM
@A10
@LM
@A10
REP
REP
@LM
C
C
C
EC50R
LO
LM
@A10
@A10
LO
LO
REP
REP
LLL
GRO
FM
FM
FM j
DM
ZF
FM
NA
NA
NA
DM
DM
FM
NA
NA
DM
DM
LNA
FM
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
USEPA AWQC, 80-
USEPAAWQC, 80-
USEPAWQC, 72
ERL ASTER 8/93
Leblanc, 80
Call et al, 92
USEPA, 90
USEPA, 90
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
USEPA AWQC, 80-
Page A3-9
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
CAS Chemical Name ug/L Code Species Reference
58902
961115
109999
7440280
7440315
7440326
119937
108883
26471625
95534
8001352
75252
12002481
87616
120821
25323891
71556
79005
79016
75694
52686
67663
25167822
95954
88062
93765
93721
1582098
95636
118967
121824
Tetraehlorophenol, 2,3,4,6-
Tetraehlorvinpfios \ Gardona \ Sfirofos
Tetrahydrofuran
Thallium
Tin
Titanium
Tolidine, c-
Toluene
Toluene diisocyanate
Toluidine, o-
Toxaphene
Tribromomethane
Trichlorobenzenes
Trichlorobenzene, 1 ,2,3-
Trichlorobenzene, 1 ,2,4-
Trichloroethane
Trichloroethane, 1,1,1-
Trichloroethane, 1,1,2-
Trichloroethene
Trichlorofluoromethane
Trichlorofon \ Dylox
Trichloromethane
Trichlorophenol
Trichlorophenol, 2,4,5-
Trichlorophenol, 2,4,6-
Trichlorophenoxyacetic acid, 2,4,5-
Trichlorophenoxypropionic acid, 2,4,5-
Trifluralin \ Treflan
Trimethytbenzene, 1,2,4-
Trinftrotoluene
Trinitro-triazine, hexahydro-/
1030
430
2160000
1400
1696
5500
520
0.73
29300
575
930
43000
42300
43000
40700
17387
0.08
13300
410
450
410
150
340
193
7720
2580
L9
L9
L9
L4
LD
L9
L4
C
L9
LA4
L4
L.4
L9
L4
L9
@L9
L4
L9
L9
L9
L9
L9
L9
L4
L9
L9
FM
RT
FM
OM
DM
CO
DM
NA
BG
RT
MG
DM
FM
DM
FM
RT
DM
BG
BG
BG
BG
RT
SF
DM
FM
FM
ERL ASTER 8/93
ERLAQUIRE8/93
ERL ASTER 8/93
USEPAAWQC, 80-
ERLAQUIRE8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL ASTER 8/93
ERL ASTER 8/93
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species Reference
89
43
513000
40
160
1000
100
0.0002
13386
30
30
286
13000
1300
13000
100
6412
0.008
6300
31.5
35
31.5
20
34
1.95
203
258
@LM
@A10
LM
LC
REP
REP
REP
C
@LM
REP
REP
LL
GRO
REP
GRO
GRO
@LM
@A10
REP
@ACR
@ACR
@ACR
GRO
@A10
REP
LM
@A10
FM
FM
FM
DM
DM
DM
NA
FM
DM
DM
FM
DM
DM
DM
CF
FM
DM
FM
FM
FM
RT
FM
FM
ERL QSAR 8/93
Catletal, 92
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
ERL QSAR 8/93
ERL ASTER 8/93
ERL ASTER 8/93
USEPAAWQC. 80-
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL ASTER 8/93
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL QSAR 8/93
PageA3-10
-------
Table A3. Aquatic Life Toxicity Data
Sorted by Chemical Name
CAS
Chemical Name
FRESHWATER
ACUTE AQUATIC
TOXICITY
ug/L Code Species
Reference
115866
126727
7440337
7440611
51796
7440622
108054
1330207
1083831
95476
106423
7440655
7440666
7440677
Triphenyt phosphate
Trts(2,3-dibromopropyi)phosphate
Tungsten
Uranium
Urethane
Vanadium
Vinyi acetate
Xylenes
Xytene, m-
Xytene, o-
Xylene, p-
Yttrium
Zinc
Zirconium
870
240
5240000
14000
13400
16000
3820
2600
120
L9
L9
L9
L9
L9
L9
L4
L9
C
FM
RT
FM
FM
FM
FM
DM
RT
NA
ERL ASTER 8/93
ERLAQUIRE8/93
ERL ASTER 8/93
ERL AQUIRE 8/93
ERL ASTER 8/93
ERL AQUIRE 8/S3
ERL AQUIRE 8/93
ERL AQUIRE 8/93
USEPAAWQC, 80-
185
24
780322
1400
1340
3900
660
660
110
@LM
@A10
@LM
@A10
@A10
ECGR
@LM
@LM
C
FM
FM
GA
FM
FM
NA
ERL QSAR 8/93
ERL QSAR 8/93
ERL AQUIRE 8/93
ERL QSAR 8/93
ERL QSAR 8/93
USEPAAWQC, 80-
FRESHWATER
CHRONIC AQUATIC
TOXICITY
ug/L Code Species
Reference
PageA3-11
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
83329
208968
67641
98862
107028
107131
15972608
116063
309002
7429905
117793
97563
7664417
62533
120127
7440360
7440382
1332214
1912249
7440393
71432
92875
65850
106514
98077
56553
50328
205992
191242
207089
100447
Acenaphthene
Acenaphthylene
Acetone
Acetophenone
Acrolein
Acrylonitrile
Alachlor / Lasso
Aldicarb \ Temik
Aldrin
Aluminum
Aminoanthraquinone, 2-
Aminoazotoluene, o-
Ammonia
Aniline
Anthracene
Antimony
Arsenic
Asbestos
Atrazine
Barium
Benzene
Benzidine
Benzole Acid
Benzoquinone, p-
Benzotrichloride
Benzo(a)anthracene j
Benzo(a)pyrene
Benzo(b)fluoranthene
Benzo(ghi)pery1ene
Benzo(k)fluoranthene
Benzyl chloride
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
2.7E+Q3
2.8E+06
9.8E+04
1.0E+03
6.6E-01
6.8E+02
5.4E+Q3
2.3E-02
9.5E+01
1.5E-01
I 4.3E+03
1.4E-01
5.2E+03
7.1E+01
5.4E-04
2.9E+06
8.5E-03
3.4E-01
4.9E-Q2
3.5E-01
2.2E+00
7.5E-01
1.9E+00
@T
@T
@T
@T
@c
@T
@T
@c
@c
@c
@T
@C
@T
@C
@c
@T
@c
@C
@c
@c
@c
@c
@C
REFERENCE
DOSE
(mg/kg/d) Reference
0.06
0.1
0.1
0.02
0.01
0.001
3.0e-05
0.3
0.0004
0.0003
0.035
0.07
0.003
4
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
0.54
0.08
17
0.0057
2.34
1.75
0.222
0.029
230
13
1.06
7.3
1.02
0.16
0.48
0.17
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
ICF/Clement, 88
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
ICF/Clement, 88
IRIS, 8/93
ICF/Clement, 88
ICF/Clement, 88
ICF/Clement, 88
IRIS, 8/93
BIOCONCENTRATION
FACTOR
Value Reference
242
286
0.39
11
215
30
158
2
28
231
1720
562.3
19.9
30
1
44
72
5.21
87,5
15
0.84
98
30
30
30
30
30
33
USEPAAWQC, 80-
ERL QSAR 8/93
USEPA, 89
Lyman et al, 82
USEPA AWQC, 80-
USEPAAWQC, 80-
Lyman et al, 82
Lyman et al, 82
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPA, 89
USEPA, 89
USEPA, 89
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
Lyman et al, 82
USEPAAWQC, 80-
USEPAAWQC.80-
Lyman et al, 82
USEPA, 89
USEPA, 89
USEPA AWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPA, 89
Page A4-1
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
7440417
319846
319857
319868
58899
608731
92524
7440699
111911
111444
108601
117817
542881
35400432
7440428
75274
74839
101553
1689845
23184669
123864
85687
7440439
7440702
63252
1563662
75150
786196
10045973
133904
57749
Beryllium
BHC, alpha-
'BHC, beta-
BHC, defta-
BHC, gamma- \ Lindane
BHC, technical grade
Biphenyl
Bismuth
Bis(2-chloroethoxy) methane
Bis(2-chloroethyl) ether
Bis(2-chloroisopropyt) ether
Bis(2-ethylhexyl) phthalate
Bis(chloromethyl)ether
Bolstar \ Sulprofos
Boron
Bromodiehloromethane
Bromomethane
Bromophenyl phenyl ether, 4-
Bromoxynil
Butachlor
Butyl acetate, n-
Butyl benzyl phthalate
Cadmium
Calcium
Carbaryl \ Sevin
Carbofuran \ Furadan
Carbon dtsutfide
Carbophenottiion \ Trithion
Cesium-139
Chloramben
Chlordane
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
1.3E-01
1.3E-02
4.6E-02
2.5E+01
4.6E-02
1.2E+03
1.4E+00
1.7E+05
5.9E+00
7.8E-02
7.6E+00
3.2E+03
1.5E+03
5.2E+03
8.4E+01
4.1E+03
4.5E+03
9.4E+04
6.2E+03
5JE-04
@C
@c
@c
@T
@C
@T
@c
@T
@c
@C
@c
@T
@T
@T
@T
@T
®T
@T
@T
@c
REFERENCE
DOSE
(mg/kg/d) Reference
0.005
0,0003
0.05
0.04
0.02
0.09
0.02
0.0014
0.02
0.2
0.0005
0.1
0.005
0.1
0.015
6.0e-05
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/dH Reference
4.3
6.3
1.8
1.8
1.1
0.07
0.014
220
0.062
1.3
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93 j
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
BIOCONCENTRATION
FACTOR
Value Reference
19
130
130
130
130
130
436
6.9
2.47
130
0.63
1006
22.9
4.68
4300
140
1300
14
414
64
260
12
11.5
14800
26
14100
USEPAAWQC.80-
USEPA AWQC. 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPA, 89
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC.80-
USEPAAWQC.80-
USEPA, 90b
USEPA, 89
USEPA, 89
Lyman et al, 82
Lyman et al, 82
Lyman et al, 82
Lyman et al, 82
USEPAAWQC, 80-
USEPAAWQC.80-
USEPA, 90b
USEPA, 90b
USEPA, 89
Lyman et al, 82
Lyman et al, 82
USEPAAWQC, 80-
Page A4-2
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
1067
108907
510156
74975
75003
75014
110758
74873
25168052
91587
95578
7005723
2921882
7440473
18540299
218019
7440484
7440031
7440508
8001589
1319773
108394
95487
106445
98828
21725462
57125
110827
94826
1861321
72548
Chlorinated naphthalene, NOS
Chlorobenzene
Chlorobenzilate
Chlorobromomethane
Chloroethane
Chloroethene
Chloroethytvinyl ether, 2-
Chloromethane
Chloromethytbenzene
Chloronaphthalene, 2-
Chlorophenol, 2-
Chlorophenylphenyl ether, 4-
Chlorpyrifos \ Dursban
Chromium
Chromium hexavalent
Chrysene
Cobalt
Columbium
Copper
Creosote
Cresols
Cresol, m-
Cresol, o-
Cresol, p-
Cumene
Cyanazine
Cyanide
Cyclohexane
DB, 2,4-
DGPA/Dacthal
ODD
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
2.1E+04
1.0E+02
5.3E+02
2.9E+02
1.3E+03
4.0E+02
1.2E+01
6.7E+05
3.4E+03
1.1E-KJ1
2.9E+04
2.7E+04
3.0E+04
3.1E+04
1.2E+04
L 2.7E+03
2.2E+05
7.4E-»-02
1.1E+04
8.4E-04
@T
@T
C
@c
@T
©T
@T
@T
@T
@c
@T
@T
@T
@T
@T
@T
@T
@T
@T
@c
REFERENCE
DOSE
(mg/kg/d) Reference
0,02
0.02
0.08
0.005
0.003
1
0.005
0.05
0.05
0.05 J
0.05
0.04
0.002
0.02
0.008
0.5
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
0.27
0.013
0.032
0.24
HEAST 92
HEAST 92
ICF/Clement, 88
IRIS, 8/93
BIOCONCENTRATION
FACTOR
Value Reference
651
10.3
2093
7.2
1.17
5.5
2.88
33
651
134
4200
2729
16
16
30
36
18.5
20
18
17.6
35
8
1
242
116
480
53600
Lyman et al, 82
USEPAAWQC.80-
USEPA, 90b
USEPA. 89
USEPAAWQC, 80-
Lyman et al, 82
USEPA, 89
USEPA. 89
Lyman et al, 82
USEPAAWQC, 80-
ERL QSAR 8/93
USEPA, 90b
USEPA AWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
Lyman et al, 82
USEPA, 89
USEPA, 89
USEPA, 89
SRC 8/93
Lyman et al, 82
USEPA AWQC, 80-
USEPA, 89
Lyman et al, 82
Lyman et al, 82
USEPA AWQC, 80-
Page A4-3
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
72559
50293
1163195
13560899
78488
1740198
95807
333415
132649
53703
96128
124481
74953
1918009
25321226
95501
541731
106467
91941
75718
75343
107062
75354
156605
156592
75092
120832
94757
78875
5635442
542756
DDE
DDT
Decabromodiphenyt oxide
Dechlorane
DEF
Dehydroabietic Acid
Diaminotoluene, 2,4-
Diazinon \ Spectracide
Dibenzofuran
Dibenzo(a,h)anthracene
Dibromo-3-chloropropane, 1 ,2-
Dibromochloromettiane
Dibromomethane
Dicamba
Dichlorobenzenes
Dichlorobenzene, 1,2-
Dichlorobenzene, 1,3-
Dichlorobenzene, 1,4-
Dichlorobenadine, 3,3'-
Dichlorodifluoromethane
Dichloroethane, 1,1-
Dichloroethane, 1,2-
Dichloroethene, 1,1-
Dichloroethene, trans-1 ,2-
Dichloroethylene, cis-1 ,2-
Dichloromethane
Dichlorophenol, 2,4-
Dichlorophenoxyacetic acid, 2,4-
Dichloropropane, 1,2-
Dichloropropene, 1.2-
Dichloropropene, 1,3-
rlUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
5.9E-04
5.9E-04
1.1E-01
2.9E+02
4.4E-02
7.0E-01
4.4E+OQ
2.3E+04
1.7E+04
1.7E+04
2.6E+03
8.1E+00
7.7E-02
8.3E+04
8.0E+04
9.9E+01
3.2E+00
3.4E+04
1.7E+04
1.6E+03
7.9E+02
2.0E+03
3.SE+01
1JE+03
@c
@c
@T
®T
@c
@c
@c
©T
@T
@T
T
@c
@c
@T
@T
@c
@c
@T
@T
@c
@T
@T
@c
@T
REFERENCE
DOSE
(mg/kg/d) Reference
0.0005
0.01
3.0e-05
O.OOOi
6.02
0.03
0.09
0.09
0.2
0.1
0.009
0.02
0.01
0.06
0.003
0.01
0.0003
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
0.34
0.34
8.1
1.4
0.084
0.024
0.45
0.091
0.6
0.0075
0.068
0.18
IRIS, 8/93
IRIS, 8/93
ICF/Clement, 88
HEAST 92
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
HEAST 92
BIOCONCENTRATION
FACTOR
Value Reference
53600
53600
3050
1.07
34
1349
30
11
29
3.09
14
55.6
55.6
55.6
55.6
312
26
13.5
1.2
5.6
6.28
6.2
0.91
40.7
55
4.11
1.91
USEPAAWQC.80-
USEPAAWQC.80-
ERL QSAR 8/93
USEPA, 89
USEPA, 90b
USEPA, 89
USEPA AWQC, 80-
USEPA, 89
Lyman et al, 82
USEPA, 89
Lyman et al, 82
USEPA AWQC, 80-
USEPAAWQC.80-
USEPAAWQC.80-
USEPAAWQC. 80-
USEPAAWQC.80-
Lyman et al, 82
Lyman et al, 82
USEPA AWQC, 80-
USEPAAWQC, 80-
ERL QSAR 8/93
Lyman et al, 82
USEPA AWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC, 80-
USEPAAWQC.80-
Page A4-4
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
78886
10061015
10061026
120365
62737
115322
60571
84662
64675
119904
28804888
131113
75183
105679
84742
528290
99650
100254
534521
51285
121142
606202
117840
88857
78342
122667
298044
115297
1031078
959988
33213659
Dichloropropene, 2,3-
Dichloropropene, cis-1,3-
Dichloropropene, trans-1,3-
Dichlorprop
Dichlorvos
Dicofol \ Ketthane
Dieldnn
Oiethyl phthalate
Diethylsutfate
Dimethoxybenzidine, 3,3'-
Dimethyl naphthalene
Dimethyl phthalate
Dimethyl sulfide
Dimethylphenol, 2,4-
Di-n-butyt phthalate
Dinitrobenzene, 1,2-
Dinitrobenzene, 1,3-
Dinrtrobenzene, 1,4-
Dinrtro-o-cresol, 4,6-
Dinitrophenol, 2,4-
Dinitrotoluene, 2,4-
Dinitrotoluene, 2,6-
Di-n-octyl phthalate
Dinoseb \ DNBP
Dioxathion
Diphenythydrazine, 1,2-
Disulfoton
Endosulfan mixed isomers
Endosutfan sulfate
Endosulfan, alpha-
Endosulfan, beta-
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
1.4E+04
1.4E+04
1.2E+00
9.8E-04
9.9E-06
1.2E+05
5.4E+01
3.0E+06
2.3E+03
1.2E-I-04
1.1E+02
5.1E+02
7.7E+02
1.4E+04
4.2E+00
9.0E+02
3.9E+01
3.0E+01
5.4E-01
9.4E-01
2.4E+02
2.4E+02
2.4E+02
T
T
@c
@c
ec
@T
@c
®T
@T
@T
@T
@T
T
@T
@C
@T
@T
@T
@c
@T
@T
@T
@T
REFERENCE
DOSE
(mg/kg/d) Reference
ro.ooos
5.00-05
0.8
10
0.02
0.1
0.0004
0.0001
0.0004
0.002
0.002
0.001
0.02
0.001
4.0e-05
0.006
0.006
0.006
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
HEAST 92
HEAST 92
IRIS, 8/93
IRIS, 8/93
lHEAST92^
HEAST 92
HEAST 92
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
0.29
0.44
16
0.014
0.68
0.8
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
BIOCONCENTRATION
FACTOR
Value Reference
8.2
19
1.91
23
32
25000
68000
73
4.37
14.12
36
4.4
94
89
10
8.4
5.49
1.51
3.8
12
5460
360
110
24.9
460
270
270
270
270
Lyman et al, 82
Lyman et al, 82
USEPAAWQC.80-
Lyman et al, 82
Lyman et al, 82
Lyman et al, 82
SCDM 3/93
USEPAAWQC, 80-
USEPA, 89
USEPA, 89
USEPAAWQC, 80-
Lyman et al, 82
USEPA AWQC. 80-
USEPAAWQC, 80-
Lyman et al, 82
Lyman et al, 82
USEPA AWQC, 80-
USEPAAWQC.80-
USEPAAWQC.80-
USEPA, 89
USEPA, 89
Lyman et al, 82
Lyman et al, 82
USEPA AWQC, 80-
USEPA, 906
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC.80-
USEPAAWQC.80-
Page A4-5
-------
Table A4. Human Health Toxicity Data
Sotted by Chemical Name
CAS Chemical Name
72208
7421934
76131
112345
563122
13194484
141786
100414
106934
115902
55389
206440
86737
16984488
944229
7440564
7440575
76448
1024573
118741
87683
77474
67721
680319
51235042
123319
193395
7439896
7720787
78591
33820530
Endrin
Endrin aldehyde
Ethane, 1,1,2-trichloro-1,2,2-
Ethanol, 2-(2-Butoxyethoxy)-
Ethion V Bladan
Ethoprophos
Ethyl acetate
Ethytbenzene
Ethytene dibromide
Fensulfothion V Desanit
Fenthion V Baytex
Fluoranthene
Fluorene
Fluoride
Fonofos
Germanium
Gold
Heptachlor
Heptachlor epoxide
Hexachlorobenzene
Hexachlorobutadiene
Hexachlorocydopentadiene
Hexachloroethane
Hexamethytphosphoramide
Hexazinone
Hydroquinone
lndeno(1 ,2,3-cd)pyrene
Iron
Iron sutfate (Iron)
Isophorone
Isopropalin
HUMAN HEALTH
INGESTING
ORG, ONLY
ug/L Code
8.1E-01
2.2E-t-06
3.6E+00
7.2E+06
2.9E+04
1.3E-02
3.7E+02
1.4E+04
1.4E+02
2.1E-04
1.1E-04
7.7E-04
4.9E+01
1.8E+04
8.9E+00
3.6E+06
1.1E+04
2.1E-01
2.6E+03
2.6E+02
@T
@T
@T
@T
@T
@c
@T
@T
@T
@C
@c
@C
@c
@T
@c
@T
@T
@c
@c
@T
REFERENCE
DOSE
(mg/kg/d) Reference
0,0003
30
0.0005
0.9
0.1
0.04
0.04
0.013
0.002
0,0005
1.36-05
0.0008
0.0002
0.007
0.001
0.033
0,04
0,2
0.015
IRIS, 8/93
IRIS, 8/93
IRIS, 8/i3
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
85
4.5
9.1
1.6
0.078
0.014
1.69
0.00095
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
ICF/Clement, 88
IRIS, 8/93
BIOCONCENTRATION
FACTOR
Value Reference
3970
3970
148
1500
220
1.35
37.5
10
40
2300
1150
30
150
11200
11200
8690
2.8
4.3
86.9
0.96
0.1
39.8
30
4.38
620
USEPAAWQC, 80-
USEPAAWQC.80-
USEPA, 89
USEPA, 90b
USEPA, 90b
ERL QSAR 8/93
USEPAAWQC, 80-
USEPA, 89
USEPA, 90b
USEPA, 90b
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPA, 90b
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC, 80-
USEPA, 89
Lyman et al, 82
USEPA, 89
USEPAAWQC, 80-
USEPAAWQC.80-
USEPA, 90b
Page A4-6
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
67630
120581
7439921
7439932
7439954
121755
108316
7439965
94746
7439976
72435
624920
78933
108101
953173
90120
91576
120718
21087649
7786347
2385855
7439987
91203
134327
91598
7440020
98953
92933
1836755
99592
88755
Isopropanol
Isosafrole
Lead
Lithium
Magnesium
Malathion
Maleic anhydride
Manganese
MCPA
Mercury
Mettioxychlor
Methyl deutfide
Methyl ethyl ketone
Methyl isobutyl ketone
Methyl trithion
Methylnaphthalene, 1-
Methylnaphthalene, 2-
Methyl-o-anisidine, 5-
Metribuzin
Mevinphos \ Phosdrin
Mirex \ Dechlorane
Molybdenum
Naphthalene
Naphthylamine, 1-
Naphthylamine, 2-
Nickel
Nitrobenzene
Nitrobiphenyl, 4-
NitrofenMOK
Nitro-o-anisidine, 5-
Nitrophenol, 2-
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
2.3E+03
3.6E+08
3.8E-»-02
3.8E-02
6.5E+00
6.5E+06
2.2E-t-05
1.3E+05
LOE+OO
4.1E+04
4.6E+03
1.9E+03
@T
@T
@T
@T
@T
@T
@T
@T
@T
@T
@T
@T
REFERENCE
DOSE
(mg/kg/d) Reference
0.02
0.1
0.005
0.0005
0.0003
0.005
0.6
0.05
0.025
0.0002
0.005
0.04
0.02
0.0005
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
1.8
HEAST 92
BIOCONCENTRATION
FACTOR
Value Reference
0.65
27
45
85215
92
0.003
14
86000
8317
1
2.4
2000
2566
10
2
0.08
2140
10.5
L 30.2
31.6
47
2.89
436.5
1549
7.67
13.5
USEPA, 89
Lyman et al, 82
USEPA AWQC, 80-
ERLAQUIRE8/93
Lyman et al, 82
Lyman et al, 82
Lyman et al, 82
SCDM 3/93
USEPA, 89
USEPA, 89
USEPA, 89
Versehueren, 83
ERLAQUIRE8/93
USEPA, 89
Lyman et al, 82
Lyman et al, 82
Lyman et al, 82
USEPA AWQC, 80-
USEPA. 89
USEPA, 89
USEPA AWQC, 80-
USEPAAWQC.80-
USEPA, 89
USEPA, 89
USEPA, 89
USEPA, 89
Page A4-7
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
100027
55185
62759
924163
621647
86306
100754
101804
1000
59507
56382
298000
12674112
11104282
11141165
53469219
12672296
11097691
11096825
40487421
608935
82688
87865
72560
85018
108952
298022
85449
88891
7440064
1336363
Nitrophenol, 4-
Nitrosodiethyiamine, N-
Nitrosodimethylamine, N-
Nitrosodi-n-butylamine, N-
Nitrosodi-n-propylamine, N-
Nitrosodiphenylamine, N-
Nrtrosopiperidine, N-
Oxydianiline, 4,4'-
PAH Compounds
Parachlorometacresol
Parathion ethyl
Parathion methyl
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Pendimethalin/Prowl
Pentachlorobenzene
Pentachloronttrobenzene \ Quintozene
Pentachlorophenol
PerthaneXEthylan
Phenanthrene
Phenol
Phorate \ Famophos \ Thimet
Phthalic anhydride
Picric acid
Platinum
Polyehlorinated biphenyte
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
3.6E-01
8.1E+00
1.2E-01
2.4E-01
1.6E+01
4.4E-02
1.5E+02
3.8E+01
4.5E-05
4.5E-05
4.5E-05
4.5E-05
4.5E-05
4.5E-05
4.5E-05
3.6E+02
2.5E+00
3.1E+01
8.2E+00
4.6E+06
3.4E+00
1.5E+07
4.5E-05
@C
@c
@c
@c
@c
@C
@T
@T
@c
@c
@c
@C
@c
@c
@C
@T
@T
@T
@c
@T
@T
@T
@c
REFERENCE
DOSE
(mg/kg/d) Reference
0.006
0.00025
7.0e-05
0.04
0.0008
0.003
0.03
0.6
0.0002
2
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
150
51
5.4
7
0.0049
8.1
7.7
7.7
7.7
7.7
7.7
7.7
7.7
0.26
0,12
7.7
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
ICF/Clement, 88
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
BIOCONCENTRATION
FACTOR
Value Reference
79
0.2
0.026
17
6.3
136
1.1
22
30
79
430
71
31200
31200
31200
31200
31200
31200
31200
1200
3400
1043
11
66100
630
1.4
630
1.4
1
31200
USEPA, 8i
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPA, 89
USEPA, 89
USEPAAWQC, 80-
USEPA, 89
USEPA, 89
USEPAAWQC, 80-
Lyman et al, 82
USEPA, 90b
USEPA, 90b
USEPA AWQC, 80-
USEPAAWQC.80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
USEPAAWQC, 80-
USEPAAWQC, 80-
Lyman et al, 82
SCDM 3/93
USEPA, 90b
USEPAAWQC, 80-
Lyman et al, 82
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPA, 90b
Lyman et al, 82
USEPA, 89
USEPAAWQC, 80-
PageA4-8
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
7440097
13966002
106503
1610180
7287196
23950585
1918167
139402
129000
91225
13982633
108463
94597
7782492
7631869
7440224
122349
7440235
7440246
100425
7440257
13494809
13071799
886500
95943
51207319
1746016
79345
25322207
127184
56235
Potassium
Potassium-40
p-Phenylenediamine
Prometon \ Pramtol
Prometyrn \ Caparol
Pronamide
rPrapachlor
Propazine
Pyrene
Quinoline
Radium 226
Resordnol
Safrole
Selenium
Silica
Silver
Simazine
Sodium
Strontium
Styrene
Tantalum
Tellurium
Terbufos \ Counter
Terbutryn
Tetrachlorobenzene, 1,2,4,5-
Tetrachlorodibenzofuran, 2,3,7,8-
Tetrachlorodibenzo-p-dioxin, 2,3,7,8-
Tetrachloroethane, 1,1,2,2-
Tetrachloroethane, NOS
Tetrachloroethene
Tetrachloromethane
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
2.0E+06
1.5E+Q2
1.8E+Q2
8.1E+06
1.0E+04
2.2E+03
6.1E-01
1.1E-01
1.1E+04
1.1E+05
1.1E+04
1.6E+05
9.3E-I-00
2.6E+01
2.9E+00
9.0E-08
1.4E-09
1.1E+01
1.1E+01
3.5E-»-03
4.4E+00
@T
@T
@T
@T
@T
@T
@C
@c
@T
@T
@T
@T
@T
@T
@T
@C
@c
@c
@c
@T
@c
REFERENCE
DOSE
(moAg/d) Reference
0.19
0.015
0.004
0.075
0.013
0.02
0.03
0.005
0.005
0.005
0.6
0.2
2.5e-05
0.001
0.0003
0.01
0.0007
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
0.59
12
0.12
15000
150000
0.2
0.2
0.13
ICF/Clement, 88
HEAST 92
HEAST 92
USEPA, 89b
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
BIOCONCENTRATION
FACTOR
Value Reference
1
1100
240
0.1
14
99
30
7.94
2.4
61.6
4.8
0.5
4.9
13.5
29
410
1125
8000
50000
5
5
30.6
18.75
USEPA, 89
Lyman et al, 82
Lyman et al, 82
Lyman et al, 82
Lyman et al, 82
Lyman et al, 82
USEPA AWQC, 80-
USEPA, 89
Lyman et al, 82
USEPA, 89
USEPA AWQC, 80-
USEPAAWQC, 80-
ERLAQUIRE8/93
USEPA, 89
Lyman et al, 82
Lyman et al, 82
USEPA AWQC, 80-
Merhle et al., 88
USEPA, 90
USEPA AWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
PageA4-9
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
58902
961115
109999
7440280
7440315
7440326
119937
108883
26471625
95534
8001352
75252
12002481
87616
120821
25323891
71556
79005
79016
75694
52686
67663
25167822
95954
88062
93765
93721
1582098
95636
118967
121824
Tetraehlorophenol, 2,3,4,6-
Tetrachlorvinphos \ Gardona \ Stirofos
Tetrahydrofuran
Thallium
Tin
Titanium
Tolidine, o-
Toluene
Toluene ditsocyanate
Toluidine, o-
Toxaphene
Tribromomethane
Trichlorobenzenes
Trichlorobenzene, 1,2,3-
Trichlorobenzene, 1,2,4-
Trichloroethane
Trichloroethane, 1,1,1-
Trichloroethane, 1,1,2-
Trichloroethene
Trichlorofluoromethane
Trichlorofon \ Dylox
Trichloromethane
Trichlorophenol
Trichlorophenol, 2,4,5-
Trichlorophenol, 2,4,6-
Trichlorophenoxyacetic acid, 2,4,5-
Trichlorophenoxypropionic acid, 2,4,5-
Trifluralin \ Treflan
Trimethylbenzene, 1,2,4-
Trinitrotoluene
Trinitro-triazine, hexahydro-/
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
3.5E+03
1.1E+03
2.0E+05
7.5E-04
4.2E+02
9.0E+Q1
9.0E+01
1.7E+05
4.2E+01
6.6E+04
4.7E+02
3,2E+00
5.7E+02
3.2E+00
1.7E+03
3.3E+02
4.1E-01
@T
@T
@T
@c
@c
@T
@T
@T
@c
@T
@c
@c
@T
@c
@T
@T
@C
REFERENCE
DOSE
(mg/kg/d) Reference
0.03
0.03
0.6
0.2
0.02
0.01
0.01
0.09
0.004
0,3
0,01
0.1
0.01
0.008
0.0075
0.0005
0.003
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
{mg/kg/d)-1 Reference
0.024
1.1
0.0079
0.057
0.0061
0.011
0.011
0.0077
0.03
0.11
HEAST 92
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
IRIS, 8/93
BIOCONCENTRATION
FACTOR
Value Reference
93
284
1
116
35.48
10.7
5.9
13100
3.24
1202
13000
1202
4.5
5.6
4.5
10.6
49
1.44
3.75
310
1905
310
65
263
3415
439.5
Verschueren, 83
Lyman et a), 82
ERL QSAR 8/93
USEPAAWQC.80-
USEPA, 89
USEPAAWQC, 80-
USEPA, 89
USEPAAWQC, 80-
USEPA, 89
USEPA, 89
Verschueren, 83
USEPA, 89
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC, 80-
USEPAAWQC.80-
Lyman et al, 82
Lyman et a), 82
USEPAAWQC, 80-
USEPA, 89
USEPA, 89
USEPA, 89
Lyman et al, 82
Lyman et al, 82
USEPA. 89
USEPA, 89
PageA4-10
-------
Table A4. Human Health Toxicity Data
Sorted by Chemical Name
CAS Chemical Name
115866
126727
7440337
7440611
51796
7440622
108054
1330207
108383
95476
106423
7440655
7440666
7440677
Tnphenyi phosphate
Tris(2,3-dibromopropyl)phosphate
Tungsten
Uranium
Urethane
Vanadium
Vinyl acetate
Xylenes
Xylene, m-
Xylene, o-
Xylene, p-
Yttrium
Zinc
Zirconium
HUMAN HEALTH
INGESTING
ORG. ONLY
ug/L Code
1.0E+05
1.0E+05
1.0E+05
1.0E+05
6.9E+04
@T
@T
@T
@T
«T
REFERENCE
DOSE
(mg/kg/d) Reference
0.007
2
2
2
2
0.3
HEAST 92
IRIS, 8/93
HEAST 92
HEAST 92
HEAST 92
IRIS, 8/93
CANCER
POTENCY
SLOPE FACTOR
(mg/kg/d)-1 Reference
BIOCONCENTRATION
FACTOR
Value Reference
18900
2.75
0.5
2
208
208
208
208
47
ERLAQUIRE8/93
USEPA, 89
USEPA, 89
USEPA, 89
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
USEPA AWQC, 80-
PageA4-11
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
83329
208968
67641
98862
107028
107131
15972608
116063
309002
7429905
117793
97563
7664417
62533
120127
7440360
7440382
1332214
1912249
7440393
71432
92875
65850
106514
98077
56553
50328
205992
191242
207089
100447
Acenaphthene
Acenaphttiylene
Acetone
Acetophenone
Acralein
AcryloniWIe
AJachlor / Lasso
Aldicarb \Temik
Aldrin
Aluminum
Aminoanthraquinone, 2-
Aminoazotoluene, o-
Ammonia
Aniline
Anthracene
Antimony
Arsenic
Asbestos
Atrazine
Barium
Benzene
Benzidine
Benzole Acid
Benzoquinone, p-
Benzotrichloride
Benzo(a)anthracene
Benzo(a)pyrene
Benzo(b)fluoranthene
Benzo(ghi)perylene
Benzo(k)fluoranthene
Benzyl chloride
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
102
60
7
16
28
23
100
361
592
28
28
26
460
742
16
8
16
5
7
680
530
610
650
2140
28
Howard et a), 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/i3
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
SRC-EFDB 8/93
Howard et al, 91
SRC-EFDB 8/93
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard eta), 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
HENRVS
LAW
CONSTANT
(atm-m3/mole) Reference
1.6E-04
1.1E-05
3.9E-05
1.1E-05
1.2E-04
1.1E-04
9.0E-11
6.0E-Q9
3.2E-04
1.9E-06
2.6E-05
5.4E-03
3JE-11
4.6E-08
1.8E-06
1.1E-04
1.1E-04
1.6E-06
4.0E-07
4.0E-04
SCDM 3/93
SCDM 3/93
USEPA, 89c
Lyman et al., 82
USEPA, 89c
USEPA. 89c
(3)
Lyman et al., 82
USEPA, 89c
USEPA, 89c
(3)
(3)
USEPA, 89c
(3)
(3)
SCDM 3/93
SCDM 3/93
SCDM 3/93
SCDM 3/93
(3)
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Kow)
Value Reference
3.83
4.1
-0.24
1.7
-0.1
0.25
3.99
1.1
3
2.15
3.921
0.9
4.5
2.6
2.1
1.3
1.9
0.2
2.9
5.7
8.1
6.6
7.1
5.8
2.3
(4)
SCDM 3/93
(5)
(5)
(5)
(5)
ERL QSAR 2/94
SCDM 3/93
(5)
USEPA, 89c
USEPA, 89c
(5)
(5)
SCDM 3/i3
(5)
(5)
(5)
USEPA, 89c
(5)
(5)
(5)
(5)
(5)
(5)
(5)
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koe)
5,823
10,730
1
47
1
2
8,365
12
890
130
7,155
8
26,533
360
116
19
74
2
710
401,218
91,744,492
3,076,664
9,540,695
503,130
182
Page A5-1
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
7440417
319846
319857
319868
58899
608731
92524
7440699
111911
111444
108601
117817
542881
35400432
7440428
75274
74839
101553
1689845
23184669
123864
85687
7440439
7440702
63252
1563662
75150
786196
10045973
133904
57749
Beryllium
BHC, afpha-
BHC, beta-
BHC, defta-
BHC, gamma- \ Lindane
BHC, technical grade
Biphenyl
Bismuth
Bis(2-chloroethoxy) methane
Bts(2-chloroethyt) ether
Bis(2-chlorotsopropy1) ether
Bis(2-ettiylhexy1) phthalate
Bis(chloromethyl)ettier
Botetar \ Sulprofos
Boron
Bromodichloromethane
Bromomethane
Bromophenyl phenyl ether, 4-
Bromoxynil
Butachlor
Butyl acetate, n-
Butyl benzyl phthalate
Cadmium
Calcium
Carbaryl \ Sevin
Carbofuran \ Furadan
Carbon disulfide
Carbophenothion \ Trfthion
Cesium-139
Chloramben
Chlordane
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
135
124
100
413
100
7
180
180
23
28
365
15
28
100
22
100
16
7
30
17
11
100
100
1386
Howard et al, 91
Howard et a), 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
(2)
ERL QSAR 8/93
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
SCDM 3/93
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
HENRVS
LAW
CONSTANT
(atm-m3/mo)e) Reference
4.3E-11
4.3E-11
4.3E-07
4.3E-11
4.3E-11
4.3E-04
1.7E-05
1.1E-04
1.5E-05
2.1E-04
2.1E-03
6.2E-03
1.2E-04
2.2E-09
2.2E-04
1.3E-06
3.1E-09
3.0E-08
3.0E-02
4.9E-05
(3)
(3)
SCDM 3/93
(3)
(3)
(3)
USEPA, 89c
USEPA, 89c
USEPA. 89c
Lyman et al., 82
(3)
USEPA, 89c
(3)
(3)
(3)
USEPA, 89c
(3)
(3)
(3)
USEPA, 89c
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Kow)
Value Reference
3.9
4
2.8
3.7
3.61
4.06
1.3
1.61
9.6
0.38
5
2.1
1.2
5.1
3
4.4
1.73
4.9
2.3
1.5
2.2
5.3
2.17
5.5
(5)
(5)
(5)
(5)
USEPA, 89c
(4)
(5)
USEPA, 89c
(5)
SCDM 3/93
Lyman etal., 82
(5)
(5)
(5)
SCDM 3/93
Lyman etal., 82
ERL QSAR 8/93
(5)
(5)
(5)
(5)
SCDM 3/93
USEPA, 89c
(5)
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
6,823
8,556
566
4,339
3,539
9,801
19
38
2,735,772,628
2
82,277
116
15
103,176
890
21,158
50
65,612
182
30
146
162,248
136
255,141
Page A5-2
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
1067
108907j
510156
74975
75003
75014
110758
74873
25168052
91587
95578
7005723
2921882
7440473
18540299
218019
7440484
7440031
7440508
8001589
1319773
108394
95487
106445
98828
21725462
57125
110827
94826
1861321
72548
Chlorinated naphthalene, NOS
Chlorobenzene
Chlorobenzilate
Chlorobromomethane
Chloroethane
Chloroethene
Chloroethytvinyl ether, 2-
Chloromethane
Chloromethyibenzene
Chloronaphthalene, 2-
Chlorophenol, 2-
Chlorophenyfpheny) ether, 4-
Chlorpyrifos \ Dursban
Chromium
Chromium hexavalent
Chrysene
Cobalt
Columbium
Copper
Creosote
Cresote
Cresol, m-
Cresol, o-
Cresol, p-
Cumene
Cyanazine
Cyanide
Cyclohexane
DB, 2,4-
DCPA/Dacthal
ODD
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
100
150
35
15
28
180
12
28
28
100
15
0.1667
100
1000
29
29
7
0.667
8
100
16
180
7
92
5834
ERL QSAR 8/93
Howard et ai, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard etal, 91
Howard et al, 91
ERL QSAR 8/93
SRC-EFDB 8/93
SRC-EFDB 8/93
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard etal, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
HENRY'S
LAW
CONSTANT
(atm-m3/mole) Reference
4.6E-03
8.8E-03
2.7E-02
2.5E-04
8.8E-03
3.2E-04
5.6E-07
2.4E-04
4.0E-08
1.8E-06
1.1E-06
7.1E-Q7
7.1E-07
7.1E-07
1.2E-02
1.9E-01
8.1E-11
4.0E-06
(3)
USEPA, 89c
USEPA, 89c
Lyman et al., 82
USEPA, 89c
(3)
(3)
(3)
(3)
(3)
Lyman etal., 82
(3)
(3)
{3}
(3)
(3)
(3)
SCDM 3/93
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Kow)
Value Reference
2.8
4.36
1.4
1.4
1.4
1.28
0.91
4.1
2.2
5.09
5.25
5.7
1.9
2
1.9
1.9
3.5
2.2
-0.25
3.4
3.02
3.9
5.9
(5)
USEPA, 89c
(5)
(5)
(5)
Lyman et al., 82
(5)
(5)
(5)
ERL QSAR 8/93
(4)
(5)
(5)
(5)
(5)
(5)
(5)
SCDM 3/93
(5)
SCDM 3/93
Lyman etal., 82
Worthing, 91
(4)
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
566
19,327
24
24
24
18
8
10,730
146
100,867
144,887
401,218
74
93
74
74
2,759
146
1
2,200
931
6,823
630.928
Page A5-3
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
72559
50293
1163195
13560899
78488
1740198
95807
333415
132649
53703
96128
124481
74953
1918009
25321226
95501
541731
106467
91941
75718
75343
107062
75354
156605
156592
75092
120832
94757
78875
5635442
542756
DDE
DDT
Decabromodiphenyt oxide
Dechlorane
DEF
Dehydroabietic Acid
Diaminotoluene, 2,4-
Diazinon \ Spectracide
Dibenzofuran
Dibenzo(a,h)anthracene
Dibromo- 3-chIoropropane, 1 ,2-
Dibromochloromethane
Dibromomethane
Dicamba
Dichlorobenzenes
Dichlorobenzene, 1 ,2-
Dichlorobenzene, 1,3-
Dichlorobenzene, 1 ,4-
Dichlorobenzidine, 3,3'-
Dichlorodifluoromethane
Dichloroethane, 1,1-
Dichloroethane, 1,2-
Dichloroethene, 1,1-
Dichloroethene, trans-1 ,2-
Dichloroethylene, cis-1,2-
Dichloromethane
Dichlorophenol, 2,4-
Dichlorophenoxyacetic acid, 2,4-
Dtchloropropane, 1,2-
Dichloropropene, 1,2-
Dichloropropene, 1,3-
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
5834
5694
360
16
100
180
100
28
940
180
180
28
100
180
180
180
180
180
180
154
180
180
15
15
28
8.3
50
1289
28
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard etal, 91 j
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, i1
Howard et al, 91
Howard et al, 91
HENRTS
LAW
CONSTANT
(atm-m3/mole) Reference
3.5E-05
1.5E-05
4.5E-08
7.9E-10j
8.7E-08
2.8E-04
1.2E-07
8.1E-03
8.6E-04
2.7E-08
3.9E-03
L 3.9E-03
3.9E-03
3.9E-03
5.1E-11
3.6E-01
4.8E-03
9.8E-04
5.4E-02
9.4E-03
7.6E-Q3
2.2E-03
4.8E-07
5.5E-08
3.2E-04
1.8E-03
(3)
(3)
SRC-EFDB 8/93
USEPA, 89c
(3)
(3)
(3)
(3)
USEPA, 89c
(3)
(3)
(3)
(3)
(3)
(3)
(3)
(3)
USEPA 89c
(3)
SCDM 3/93
Lymanetal., 82
USEPA, 89c
(3)
(3)
(3)
USEPA, 89c
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Kow)
Value Reference
6.57
6.38
9.79
0.34j
3.8
4.1
8.8
2.6
2.2
1.2
0.48
3.5
3.4
3.6
3.4
3.5
2.2
1.8
1.5
2.1
2.1
1.9
1.3
2.9
2.5
2
1.6
(4)
(4)
SRC-EFDB 8/93
(5)
SCDM 3/93
SCDM 3/93
(5)
(5)
(5)
(5)
SCDM 3/93
SCDM 3/93
(5)
(5)
(5)
(5)
(5)
(5)
(5)
(5)
SCDM 3/93
(5)
(5)
(5)
(5)
(5)
(5)
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
2,874,683
1,869,907
4,205,813,396
2
5,441
10,730
447,383,538
360
146
15
3
2,759
2,200
3,460
2,200
2,759
146
59
30
116
116
74
19
710
287
93
37
Page A5-4
-------
Table AS. Chemical Fate and Transport Data
Sotted by Chemical Name
CAS Chemical Name
78886
10061015
10061026
120365
62737
115322
60571
84662
64675
119904
28804888
131113
75183
105679
84742
528290
99650
100254
534521
51285
121142
606202
117840
88857
78342
122667
298044
115297
1031078
959988
33213659
Dichloropropene, 2,3-
Dichloropropene, cts-1,3-
Dichloropropene, trans-1,3-
Dichlorprop
Dichlorvos
Dicofo) \ Ketthane
Dieldrin
Diethy) phthalate
Diethyisutfate
Dimethoxybenzidine, 3,3'-
Dimethyl naphthalene
Dimethyl phthalate
Dimethyl sulfide
Dimethylphenol, 2,4-
Di-n-butyl phthalate
Dinttrobenzene, 1,2-
Dinitrobenzene, 1,3-
Dinifrobenzene, 1,4-
Dinitro-o-cresol, 4,6-
Dinitrophenol, 2,4-
Dinitrotoluene, 2,4-
Dinitrotoluene, 2,6-
Di-n-octyl phthalate
Dinoseb \DNBP
Dioxathion
Diphenylhydrazine, 1,2-
Disulfoton
Endosutfan mixed isomers
Endosuffan sulfate
Endosutfan, alpha-
Endosutfan, beta-
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
15
15
15
100
3
100
1080
56
28
180
7
365
7
23
180
16
21
263
180
180
28
123
365
180
21
14
100
100
100
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
SRC-EFDB 8/93
ERL QSAR 8/93
Howard et at, 91
Howard et al, 91
Howard et al, 91
Howard etal, 91
Howard et al, 91
(2)
Howard et al, 91
Howard et al, 91
Howard etal, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
(2)
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/i3
ERL QSAR 8/93
ERL QSAR 8/93
HENRTS
LAW
CONSTANT
(atm-m3/mole) Reference
3.2E-03
3.2E-03
1.7E-09
1.5E-05
3.6E-13
5.2E-06
4.7E-11
1.1E-07
7.6E-07
2.8E-14
1.2E-13
4.4E-07
4.0E-07
4.0E-07
4.5E-13
1.5E-10
4.4E-09
1.1E-05
1.1E-11
1.1E-05
1.1E-05
(3)
(3)
(3)
SCDM 3/93
(3)
USEPA, 89c
(3)
USEPA, 89c
(3)
(3)
(3)
USEPA, 89c
(3)
(3)
(3)
(3)
(3)
SCDM 3/93
SRC-EFDB 8/93
SCDM 3/93
SCDM 3/93
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Row)
Value Reference
L_ 1.6
1.6
2.99
1.5
6.1
5.34
2.5
1.14
1,8
1.6
0.842
2,3
4.1
1.6
1.5
1.5
2.12
1.5
2
1.7
9.2
3.7
3
2.9
4
3.6
3.1
3.6
3.6
SCDM 3/93
SCDM 3/93
ERL QSAR 8/93
(5)
SCDM 3/93
(4)
(5)
USEPA, 89c
(5)
(5)
ERL QSAR 2/94
(5)
(5)
(5)
(5)
(5)
USEPA, 89c
(5)
(5)
(5)
(5)
(5)
SCDM 3/93
(5)
SCDM 3/93
SCDM 3/93
SCDM 3/93
SCDM 3/93
SCDM 3/93
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
37
37
870
30
992,156
177,623
287
13
59
37
7
182
10.730
37
30
30
121
30
93
47
1,106,318.055
4,339
890
710
8,556
3,460
1,116
3,460
3,460
Page A5-5
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
72208
7421934
76131
112345
563122
13194484
141786
100414
106934
115902
55389
206440
86737
16984488
944229
7440564
7440575
76448
1024573
118741
87683
77474
67721
680319
51235042
123319
193395
7439896
7720787
78591
33820530
Endrin
Endrin aldehyde
Ethane, 1,1,2-triehloro-1,2,2-
Ethanol, 2-{2-Butoxyethoxy)-
Ethion \ Bladan
Ethoprophos
Ethyl acetate
Ethyl benzene
Ethylene dibromide
Fensulfothion \ Desanit
Fenthion \ Baytex
Fluoranthene
Fluorene
Fluoride
Fonofos
Germanium
Gold
Heptachlor
Heptachlor epoxide
Hexachlorobenzene
Hexachlorobutadiene
Hexachlorocyclopentadiene
Hexachloroethane
Hexamethyiphosphoramide
Hexazinone
Hydroquinone
lndeno(1 ,2,3-cd)pyrene
Iron
Iron sutfate (Iron)
Isophorone
Isopropalin
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
20
365
360
16
16
16
7
10
180
16
7
440
60
28
65
552
2089
180
28
180
16
100
7
720
28
105
ERL QSAR 8/93
(2)
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Verschueren, 83
Howard et al, 91
Howard et al, 91
Worthing et al, 91
Howard etal, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
HENRY'S
LAW
CONSTANT
(atm-m3/mole) Reference
7.5E-06
2.7E-01
8.9E-03
2.5E-03
1.6E-05
3.5E-05
1.1E-04
2.6E-03
3.2E-05
2.0E-03
8.2E-03
2.7E-01
6.1E-04
2.0E-12
3.8E-11
1.6E-06
5.8E-06
SCDM 3/93
(3)
(3)
(3)
SRC-EFDB 8/93
(3)
(3)
SRC-EFDB 8/93
SCDM 3/93
(3)
USEPA, 89c
SRC-EFDB 8/93
(3)
Lyman et al., 82
USEPA, 89c
SCDM 3/93
Lyman et al,, 82
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT {log Kow)
Value Reference
4.92
3.5
2.5
-OJ2
5.1
2.31
0,81
3.1
2
2.1
3.8
5.09
4.4
3.9
4.3
5.4
5.3
4.6
4
3.9
0.03
0.28
0.55
6.6
1.7
5.74
(4)
Lyman et al., 82
(5)
(5)
SCDM 3/93
Lyman et al., 82
(5)
(5)
(5)
Lyman et al., 82
Lyman et al., 82
(4)
(5)
Worthing, 91
(5)
(5)
(5)
(5)
(5)
(5)
USEPA, 89c
Lyman et al., 82
(5)
(5)
(5)
Lyman et al., 82
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
68,650
2,759
287
0.1
103,176
187
6
1,116
93
116
5,441
100,867
21.158
6,823
16,873
203,460
162,248
33,272
8,556
6,823
1
2
3
3,076,664
47
439,238
Page A5-6
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
67630
120581
7439921
7439932
7439954
121755
108316
7439965
94746
7439976
72435
624920
78933
108101
953173
90120
91576
120718
21087649
7786347
2385855
7439987
91203
134327
91598
7440020
98953
92933
1836755
99592
88755
Isopropanol
Isosafrole
Lead
Lithium
Magnesium
Malathion
Maleie anhydride
Manganese
MCPA
Mercury
Methoxychlor
Methyl dtsurfide
Methyl ethyl ketone
Methyl tsobutyl ketone
Methyl trrthton
Methylnaphthalene, '!-
Methylnaphthalene, 2-
Methyl-o-anisidine, 5-
Metribuzin
Mevinphos \ Phosdrin
Mirex \ Deehtorane
Molybdenum
Naphthalene
Naphthylamine, 1-
Naphthylamine, 2-
Nickel
Nitrobenzene
Nitrobiphenyl, 4-
Nitrofen\TOK
Nitro^o-anisidine, 5-
Nifrophenol, 2-
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
7
28
51.5
15
7
360
7
7
100
100
100
180
15
16
365
20
180
180
197
28
100
28
28
Howard et a), 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
(2)
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
HENRTS
LAW
CONSTANT
(atm-m3/mole) Reference
7.9E-06
8.4E-10
4.0E-11
2.8E-07
5.6E-05
1.4E-04
1.8E-06
1.6E-14
3.7E-04
4.5E-05
2.5E-08
5.5E-09
USEPA, 89c
(3)
Lyman et al., 82
(3)
USEPA, 89c
USEPA, 89c
(3)
SRC-EFDB 8/93
(3)
(3)
USEPA, 89c
(3)
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Kow)
Value Reference
0.05
2.66
2.4
-3.13
4.4
0.29
1.2
1.67
1.7
0.21
4.65
3.3
2.25
2.28
1.8
3.773
5.53
1.5
1.79
USEPA, 89c
SCDM 3/93
SCDM 3/93
Lyman et al., 82
(5)
(5)
(5)
USEPA, 89c
SCDM 3/93
Lyman etal., 82
ERL QSAR 2/94
(5)
USEPA, 89c
USEPA, 89c
(5)
USEPA, 89c
USEPA, 89c
(5)
USEPA, 89c
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
1
412
229
0.0008
21,158
2
15
44
47
2
37,259
1,755
163
174
59
5,118
273,067
30
58
Page A5-7
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
100027
55185
62759
924163
621647
86306
100754
101804
1000
59507
56382
298000
12674112
11104282
11141165
53469219
12672296
11097691
11096825
40487421
608935
82688
87865
72560
85018
108952
298022
85449
88891
7440064
1336363
Nitrophenol, 4-
Nitrosodiettiylamine, N-
Nitrosodimethyiamine, N-
Nitrosodi-n-butylamine, N-
Nitrosodi-n-propylamine, N-
Nitrosodiphenylamine, N-
Nitrosapiperidine, N-
Oxydianlne, 4,4'-
PAH Compounds
Parachlorometacresol
Parathion ethyl
Parathion methyl
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Pendimethalin/Prowl
Pentachlorobenzene
Pentachloronitrobenzene \ Quintozene
Pentachlorophenol
PerthaneVEthylan
Phenanthrene
Phenol
Phorate \ Famophos \ Thimet
Phthalic anhydride
Picric acid
Platinum
Polychlorinated biphenyts
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
7
180
180
180
180
34
180
180
940
100
7
70
590
590
590
590
590
590
590
100
345
699
178
100
200
3.5
4
7
180
590
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard etal, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Verschueren, 83
Howard et al, 91
(D
d)
(1)
(D
(D
(D
(D
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
SRC-EFDB 8/93
Howard et al, 91
Howard et al, 91
(D
HENRY'S
LAW
CONSTANT
(atm-m3/mole) Reference
5.5E-09
1.2E-06
2.6E-07
6.9E-06
2.3E-06
1.3E-07
1.5E-11
6.0E-07
3.0E-07
1.0E-04
1.0E-04
1.0E-04
1.0E-04
1.0E-04
1.0E-04
1.0E-04
2.4E-03
9.7E-07
2.9E-07
2.6E-05
3.3E-07
1.6E-06
1.6E-G9
3.8E-13
(3)
USEPA. 89c
USEPA, 89c
(3)
USEPA, 89c
(3)
SRC-EFDB 8/93
(3)
(3)
(3)
(3)
(3)
(3)
(3)
(3)
(35
(3)
(3)
(3)
(3)
USEPA, 89c
(3)
USEPA, 89c
(3)
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Kow)
Value Reference
1.9
0,48
-0.57
1.9
1.4
3.5
0.36
2.06
2.8
3.8
2.86
5.6
5.6
5.6
5.6
5.6
5.6
5.6
5.2
4.6
5.9
7.15
4.54
1.5
3.3
-0.62
2.03
5.6
SCDM 3/93
(5)
(5)
(5}
(5)
(5)
USEPA, 89c
USEPA, 89c
Lyman et al., 82
(5)
Lyman et al., 82
SCDM 3/93
SCDM 3/93
SCDM 3/93
SCDM 3/93
SCDM 3/93
SCDM 3/93
SCDM 3/93
(5)
(5)
(5)
Lyman et al., 82
(4)
(5)
SCDM 3/93
(5)
USEPA, 89c
SCDM 3/93
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
74
3
0.3
74
24
L 2,759
2
106
566
5,441
648
319,948
319,948
319,948
319,948
319,948
319,948
319,948
129,384
33,272
630,928
10,683,905
29,047
30
1,755
0.2
99
319,948
Page A5-8
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
7440097
13966002
106503
1610180
7287196
23950585
1918167
139402
129000
91225
13982633
108463
94597
7782492
7631869
7440224
122349
7440235
7440246
100425
7440257
13494809
13071799
886500
95943
51207319
1746016
79345
25322207
127184
56235
Potassium
Potassium-40
p-Phenylenediamine
Prometon \ Pramitol
Prometyrn \ Caparol
Pronamide
Propachlor
Propazine
Pyrene
Quinoline
Radium 226
Resorcinol
Safrole
Selenium
Silica
Silver
Simazme
Sodium
Strontium
Styrene
Tantalum
Tellurium
Terbufos \ Counter
Terbutryn
Tetrachlorobenzene, 1,2,4,5-
Tetrachlorodibenzofuran, 2,3,7,8-
Tetrachlorodibenzo-p-dioxin, 2,3,7,8-
Tetrachloroethane, 1 , 1 ,2,2-
Tetrachloroethane, NOS
Tetrachloroethene
Tetrachloromethane
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-UFE
days Reference
28
365
70
100
42
100
1900
10
16
28
100
28
15
240
180
590
590
L 180
180
360
360
Howard et al, 91
(2)
Worthing eta), 91
ERLQSAR8/93
Worthing et at, 91
SRC-EFDB 8/93
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
ERL QSAR 8/93
Howard et a), 91
ERL QSAR 8/93
SRC-EFDB 8/93
Howard et al, 91
(D
Howard et al, 91
Howard et ai, 91
Howard etal, 91
Howard et al, 91
Howard et al, 91
HENRYS
LAW
CONSTANT
(atm-m3/mole) Reference
7.7E-10
8.9E-08
1.1E-05
1.5E-06
8.9E-03
2.8E-06
2.8E-03
1.5E-04
1.6E-05
5.4E-05
1.8E-02
3.0E-02
USEPA, 89c
(3)
SCDM 3/93
(3)
(3)
(3)
(3)
(3)
SRC-EFDB 8/93
(3)
(3)
(3)
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Kow)
Value Reference
-0.312
4.3
3.43
3
1.8
2.93
5.07
2
0.8
2.66
2.18
2.9
3.68
3.74
4.6
6.53
6.6
2.4
3.4
2.8
USEPA, 89c
USEPA, 90b
Lyman et al., 82
SCDM 3/93
Lyman etal., 82
Lyman et al., 82
(4)
SCDM 3/93
SCDM 3/93
USEPA, 89c
Lyman et al., 82
(5)
SRC-EFDB 8/93
Lyman et al., 82
(5)
USEPA. 90
SCDM 3/93
(5)
(5)
(5)
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
0.5
16,873
2,355
890
59
759
96,403
93
6
412
139
710
4,147
4,750
33,272
2,625,851
3,076,664
229
2,200
566
Page A5-9
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
58902
961115
109999
7440280
7440315
7440326
119937
108883
26471625
95534
8001352
75252
12002481
87616
120821
25323891
71556
79005
79016
75694
52686
67663
25167822
95954
88062
93765
93721
1582098
95636
118967
121824
Tetrachlorophenol, 2,3,4,6-
Tefrachlorvinphos \ Gardona \ Stirofos
Tetrahydrofuran
Thallium
Tin
Titanium
Tolidine, o-
Toluene
Toluene diisocyanate
Toluidine, o-
Toxaphene
Tribromomethane
Trichlorobenzenes
Trichlorobenzene, 1,2,3-
Trichlorobenzene, 1,2,4-
Trichloroethane
Trichloroethane, 1,1,1-
Trichloroethane, 1 , 1 ,2-
Trichloroethene
Trichlorofluoromethane
Trichlorofon \ Dylox
Trichloromethane
Trichlorophenol
Trichlorophenol, 2,4,5-
Trichlorophenol, 2,4,6-
Trichlorophenoxyacetic acid, 2,4,5-
Trichlorophenoxypropionic acid, 2,4,5-
Trifluralin \ Treflan
Trimethylbenzene, 1,2,4-
Trinitrotoluene
Trinitro-triazine, hexahydro-/
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
180
100
40
7
22
7
365
180
180
30
180
360
273
360
360
360
45
180
70
690
70
20
100
100
28
180
Howard et at, 91
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
(2)
Howard et al, 91
Howard etal, 91
SRC-EFDB 8/93
Howard etal, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard etal, 91
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
HENRY'S
LAW
CONSTANT
(,atm-m3/molej Reference
2.2E-08
1.1E-04
5.7E-03
2.7E-06
6.0E-06
5.7E-04
3.3E-03
1.6E-02
1.2E-06
1.9E-02
9.7E-02
1.7E-11
4.1E-03
3.3E-03
3.3E-03
8JE-09
3.5E-09
3.9E-09
6.6E-03
4.9E-05
(3)
Lyman et al., 82
(3)
USEPA, 89c
USEPA, 89c
(3)
(3)
(3)
(3)
(3)
(3)
USEPA, 89c
(3)
(3)
(3)
SCDM 3/93
(3)
(3)
(3)
SRC-EFDB 8/93
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (tog Row)
Value Reference
4.1
3.53
0.46
2.3
2.7
1.3
4.8
2.4
4.11
4
2.5
2
2.4
2.5
0.51
2
3.8
3.7
3.1
3.9
5.4
3.78
2.3
(5)
USEPA, 89c
SCDM 3/93
(5)
(5)
(5)
SCDM 3/93
(5)
Lyman et al., 82
(5)
(5)
(5)
(5)
(5)
USEPA, 89c
(5)
(5)
(5)
SCDM 3/93
(5)
SCDM 3/93
USEPA, 89c
(5)
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
10,730
2,953
3
182
451
19
52,321
229
10,975
8,556
287
93
229
287
3
93
5,441
4,339
1,116
6,823
203,460
5,200
182
Pa§eA5-10
-------
Table AS. Chemical Fate and Transport Data
Sorted by Chemical Name
CAS Chemical Name
115866
126727
7440337
7440611
51796
7440622
108054
13302071
108383
95476
106423
7440655
7440666
7440677
Tripheny) phosphate
Tris(2,3-dibromopropyl)phosphate
Tungsten
Uranium
Urethane
Vanadium
Vinyl acetate
Xylenes
Xylene, m-
Xylene, o-
Xylene, p-
Yttrium
Zinc
Zirconium
AQUEOUS
AEROBIC
BIODEGRADATION
HALF-LIFE
days Reference
468
7
7
16
28
28
28
28
SRC-EFDB 8/93
Howard et al, 91
Howard et al, 91
ERL QSAR 8/93
Howard et al, 91
Howard et al, 91
Howard et al, 91
Howard et al, 91
HENRY'S
LAW
CONSTANT
(atm-m3/mole) Reference
4.0E-08
5.1E-04
6.1E-03
6.1E-03
6.1E-03
6.1E-03
SRC-EFDB 8/93
USEPA, 89c
(3)
(3)
(3)
(3)
LOG OCTANOL-
WATER
PARTITION
COEFFICIENT (log Kow)
Value Reference
4.59
4.98
-0.15
0.73
3.2
32
3.2
3.2
SRC-EFDB 8/93
USEPA, Sic
USEPA, 89c
(5)
SCDM 3/93
(5)
(5)
(5)
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
(Koc)
32,527
78,636
1
5
1,399
1,399
1,399
1,399
(1) Assigned the biodegradation rate for 2,3,7,8-TCDD based on structural similarity.
(2) No data are available; therefore a value of 365 days is selected as a high-end biodegradation rate.
(3) Predicted using the EPA Office of Pollution Prevention and Toxics (OPPT) "HENRY" structure-activity model (2/94).
(4) Slow stir flask values provided by Mary Reiley, EPA Office of Science and Technology (3/94).
(5) Literature values provided by Ruth Hull, Oak Ridge National Laboratory (2/94).
Page A5-11
-------
APPENDIX B
Watershed Priority Groups
-------
Table B1. Priority Group 1 Watersheds by EPA Region and State
(when HAZREL score is greater than 84(1)
Table B1. Priority Group 1 Watersheds
Dominant
REGION/STATE CATUNITArVatershed Name Industrial Category
01
CT
01080205
01100004
01100005
01100006
RJ
01090004
02
NJ
02020007
02030105
02040208
02040302
NY
02020003
02020004
02030101
02030103
02030104
02030201
02030202
04120104
04130003
04140101
04140201
04150200
PA
02040201
PR
21010000
21010003
21010004
21010005
OS
DC
02070010
LOWER CONNECTICUT. CONNECTICUT
QUINNIPIAC. CONNECTICUT.
HOUSATONIC. CONNECTICUT
SAUGATUCK. CONNECTICUT NEW
NARRAGANSETT, MASSACHUSETTS RHOD
RONDOUT, NEW JERSEY NEW YORK.
RARITAN. NEW JERSEY.
COHANSEY-MAURICE. NEW JERSEY.
GREAT EGG HARBOR. NEW JERSEY.
HUDSON-HOOSIC. NEW YORK
MOHAWK. NEW YORK.
LOWER HUDSON. CONNECTICUT NEW
HACKENSACK-PASSAIC. NEW JERSEY NE
SANDY HOOK-STATEN ISLAND. NEW JERS
NORTHERN LONG ISLAND. NEW YORK.
SOUTHERN LONG ISLAND. NEW YORK.
NIAGARA. NEW YORK.
LOWER GENESEE. NEW YORK.
IRONDEQUOIT-NINEMILE. NEW YORK.
SENECA. NEW YORK.
LAKE ONTARIO. NEW YORK.
CROSSWICKS-NESHAMINY. NEW JERSEY
UNSPECIFIED. PUERTO RICO
CULEBRINAS-GUANAJIBO. PUERTO RICO
SOUTHERN PUERTO RICO. PUERTO RICO
EASTERN PUERTO RICO. PUERTO RICO
MIDDLE POTOMAC^NACOSTIA-OCCOQUA
Metal Products and Machinery
Organic Chemicals (OCPSF)
POTWs
POTWs
POTWs
POTWa
POTWs
Organic Chemicals (OCPSF)
POTWs
Pulp & Paper
POTWs
POTWs
POTWs
POTWi
POTWs
POTWs
Metal Products and Machinery
Photographic Equipment
Metal Finishing
POTWs
POTWs
Organic Chemicals (OCPSF)
Not Classified
Food & Kindred Products
Petroleum Refining
Not Classified
POTWs
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Hatogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
PCB/Dioxin
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Page B1-1
-------
Table B1. Priority Group 1 Watersheds (continued)
Dominant
REGION/STATE CATUNIT/Watershed Maim Industrial Category
MO
02060003
02060006
02070009
NJ
02040204
PA
02040103
02040106
02040202
02040203
02050306
05010009
05020005
VA
02080202
02080206
03010102
WV
05020003
05030106
05030201
04
AL
03150106
03150201
03150204
03160201
03160203
03160204
06030002
06030005
FL
03070204
03080102
03080103
03140105
6A
03060103
03060109
GUNPOWDER-PATAPSCO. MARYLAND
PATUXENT. MARYLAND.
MONOCACY. MARYLAND
DELAWARE BAY. NEW JERSEY.
LACKAWAXEN. PENNSYLVANIA.
LEHIGH. PENNSYLVANIA.
LOWER DELAWARE. NEW JERSEY
SCHUYLK1LL. PENNSYLVANIA.
LOWER SUSQUEHANNA. MARYLAND
LOWER ALLEGHENY. PENNSYLVANIA.
LOWER MONONGAHELA. PENNSYLVANIA
MAURY. VIRGINIA.
LOWER JAMES. VIRGINIA.
MIDDLE ROANOKE. NORTH CAROLINA
UPPER MONONGAHELA. PENNSYLVANIA
UPPER OHIO-WHEELING. OHIO
LITTLE MUSK1NGUM-MIDDLE ISLAND. OHIO
MIDDLE COOSA. ALABAMA.
UPPER ALABAMA. ALABAMA.
LOWER ALABAMA. ALABAMA.
MIDDLE TOMBIGBEE-CHICKASAW. ALABAM
LOWER TAMBIGBEE. ALABAMA.
MOBILE - TENSAW. ALABAMA.
WHEELER LAKE. ALABAMA
PICKWICK LAKE. ALABAMA MISSISSIPPI
ST. MARYS. FLORIDA GEORGIA.
OKLAWAHA. FLORIDA.
LOWER ST. JOHNS. FLORIDA.
PENSACOLA BAY. FLORIDA.
UPPER SAVANNAH. GEORGIA SOUTH
LOWER SAVANNAH. GEORGIA SOUTH
Inorganic Chemicals
POTWs
POTWs
Organic Chemicals (OCPSF)
POTWs
Organic Chemicals (OCPSF)
POTWs
Organic Chemicals (OCPSF)
Not Classified
Not Classified
Not Classified
POTWs
Organic Chemicals (OCPSF)
Textiles
Organic Chemicals (OCPSF)
Inorganic Chemicals
Organic Chemicals (OCPSF)
Iron & Steel
Pulp & Paper
Pulp & Paper
Pulp & Paper
Pulp & Paper
Pulp & Paper
Organic Chemicals (OCPSF)
Inorganic Chemicals
Pulp & Paper
POTWs
Pulp & Paper
Not Classified
POTWs
Inorganic Chemicals
Dominant
Chemical Class
Metal
Pesticide
Metal
Metal
Metal
Halogenated
Organic (N.S.P)
Halogenated
Metal
Organic (N.S.P)
Halogenated
Metal
Halogenated
Metal
Halogenated
Halogenated
Organic (N,S,P)
Organic (C.H.O)
PCB/Dkndn
PCB/Dioxin
PCB/Dloxin
PCB/Dtoxin
PCB/Dioxin
Halogenated
Metal
Metal
Pesticide
Metal
Metal
Metal
Metal
PageB1-2
-------
Table B1. Priority Group 1 Watersheds (continued)
Dominant
REGION/STATE CATUNIT/Watershed Nam Industrial Category
03060204
03070102
03070104
03070106
03070203
03110203
03120002
03130006
06020001
KY
05140201
05140206
06040006
MS
03170007
03170009
08030204
08060100
NC
03040103
03050103
06010106
OH
05090103
05090203
sc
03040201
03040202
03040207
03050105
03050107
03050109
03050203
TN
05130201
05130202
05130205
06010108
06020003
06040005
OGEECHEE COASTAL. GEORGIA.
LOWER OCONEE. GEORGIA.
LOWER OCMULGEE. GEORGIA.
ALTAMAHA. GEORGIA.
CUMBERLAND-ST. SIMONS. GEORGIA.
WITHLACOOCHEE. FLORIDA GEORGIA.
UPPER OCHLOCKONEE. GEORGIA.
MIDDLE FLINT. GEORGIA.
MIDDLE TENNESSEE-CHICKAMAUGA.
LOWER OHIO-LITTLE PIGEON. INDIANA
LOWER OHIO. ILLINOIS KENTUCKY.
LOWER TENNESSEE. KENTUCKY
BLACK. MISSISSIPPI.
MISSISSIPPI COASTAL. ALABAMA
COLDWATER. MISSISSIPPI TENNESSEE.
LOWER MISSISSIPPI-NATCHEZ. LOUISIANA
LOWER YADKIN. NORTH CAROLINA.
LOWER CATAWBA. NORTH CAROLINA
PIGEON. NORTH CAROLINA
LITTLE SCIOTO-TYGARTS. KENTUCKY
MIDDLE OHIO-LAUGHERY. INDIANA
LOWER PEE DEE. NORTH CAROLINA SOUT
LYNCHES. NORTH CAROLINA SOUTH
CAROLINA COASTAL-SAMPIT. NORTH
UPPER BROAD. NORTH CAROLINA SOUTH
TYGER. SOUTH CAROLINA.
SALUDA. SOUTH CAROLINA.
NORTH FORK EDISTO. SOUTH
LOWER CUMBERLAND-OLD HICKORY LAKE.
LOWER CUMBERLAND-SYCAMORE.
LOWER CUMBERLAND. KENTUCKY
NOLICHUCKY. NORTH CAROLINA
OCOEE. GEORGIA NORTH CAROLINA
KENTUCKY LAKE. KENTUCKY
Pulp & Paper
Pulp & Paper
Pesticides
Pulp & Paper
Pulp & Paper
POTW«
POTWs
Pesticides
POTWs
Organic Chemicals (OCPSF)
Not Classified
Inorganic Chemicals
Petroleum Refining
Organic Chemicals (OCPSF)
Pesticides
Inorganic Chemicals
Soaps & Detergents
Organic Chemicals (OCPSF)
Pulp & Paper
Stone, Clay, Glass, & Concret
POTWs
Organic Chemicals (OCPSF)
Textiles
Pulp & Paper
Organic Chemicals (OCPSF)
Miscellaneous Chemicals
Not Classified
Organic Chemicals (OCPSF)
No* Classified
POTWs
Not Classified
Miscellaneous Chemicals
Inorganic Chemicals
Not Classified
Dominant
Chemical Class
PCB/Dtaxin
Metal
Pesticide
PCB/D toxin
PCB/Dtoxin
Halogenated
Pesticide
Pesticide
Metal
Halogenated
Metal
Halogenated
PAH
PAH
Pesticide
Pesticide
Organic (N.S.P)
Halogenated
PCB/Dtadn
PAH
Metal
Halogenated
Halogenated
PCB/Dtodn
Halogenated
PAH
Metal
Halogenated
Metal
Metal
Metal
Organic (N,S,P)
Metal
Metal
Page 81-3
-------
Table 81. Priority Group 1 Watersheds (continued)
REGION/STATE CATUNIT/Watershed Name
08010208
08010210
OS
IL
07120003
07120004
07120005
07140201
IN
04040001
05120201
05140202
KY
05140101
Ml
04050006
04060101
04080201
04090004
MN
04010102
07010206
07020010
09030004
OH
04100009
04110002
04110003
05030204
05080002
Wl
04030101
04030201
04030204
04040002
04040003
07070003
07090001
VW
05030101
LOWER HATCHIE. MISSISSIPPI
WOLF, MISSISSIPPI TENNESSEE.
CHICAGO. ILLINOIS INDIANA.
OES PLAINES. ILLINOIS WISCONSIN.
UPPER ILLINOIS. ILLINOIS.
UPPER KASKASKIA ILLINOIS.
LITTLE CALUMET-GALIEN. ILLINOIS
UPPER WHITE. INDIANA.
HIGHLAND-PIGEON. INDIANA
SILVER-LITTLE KENTUCKY. INDIANA
LOWER GRAND. MICHIGAN.
PERE MARQUETTE-WHITE. MICHIGAN.
TITTABAWASSEE. MICHIGAN.
DETROIT. MICHIGAN.
BEAVER-LESTER. MINNESOTA.
TWIN CITIES. MINNESOTA.
WATONWAN. MINNESOTA.
UPPER RAINY. MINNESOTA.
LOWER MAUMEE. OHIO.
CUYAHOGA. OHIO.
ASHTABULA-CHAGRIN. OHIO.
HOCKING. OHIO.
LOWER GREAT MIAMI. INDIANA OHIO.
MANITOWOC-SHEBOYGAN. WISCONSIN.
UPPER FOX WISCONSIN.
LOWER FOX. WISCONSIN.
PIKE-ROOT. ILLINOIS WISCONSIN.
MILWAUKEE. WISCONSIN.
CASTLE ROCK. WISCONSIN.
UPPER ROCK. ILLINOIS WISCONSIN.
UPPER OHIO. OHIO PENNSYLVANIA WEST
Dominant
Industrial Category
Metal Finishing
Organic Chemicals (OCPSF)
POTW»
Metal Products and Machinery
Organic Chemicals (OCPSF)
Miscellaneous Chemicals
Petroleum Refining
POTWs
Organic Chemicals (OCPSF)
Not Classified
POTWs
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
POTWs
POTWs
POTWs
POTWs
Pulp & Paper
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
Pulp & Paper
POTWs
POTWs
Dominant
Chemical Class
Metal
Pesticide
Metal
Halogenated
Halogenated
Halogenated
Metal
Metal
Halogenated
Metal
Metal
Organic (N,S,P)
PCB/Dtoxin
Metal
PCB/Dloxin
Metal
Metal
PCB/Dioxin
Metal
Metal
Metal
Metal
Metal
PCB/Dioxin
PCB/Dioxin
Halogenated
Metal
Pesticide
PCB/Dtadn
Pesticide
Metal
PageB1-4
-------
Table B1. Priority Group 1 Watersheds (continued)
REGION/STATE CATUNIT/Watw shed Nam*
06
AR
08020204
08040206
11010004
11110207
LA
08070100
08070201
08070204
08070300
08080205
08080206
08090100
08090202
08090301
08090302
OK
11120303
11130303
TX
11140307
12010005
12020003
12030107
12040101
12040102
12040104
12040201
12040203
12040204
12040205
12070104
12100204
12110201
12110204
13040100
07
IA
07100004
LITTLE RIVER DITCHES, ARKANSAS.
BAYOU D'ARBONNE. ARKANSAS
MIDDLE WHITE, ARKANSAS.
LOWER ARKANSAS-MAUMELLE.
LOWER MISSISSIPPI-BATON ROUGE,
BAYOU SARA-THOMPSON. LOUISIANA
LAKE MAUREPAS. LOUISIANA.
LOWER GRAND. LOUISIANA.
WEST FORK CALCASIEU. LOUISIANA,
LOWER CALCASIEU. LOUISIANA.
LOWER MISSISSIPPI-NEW ORLEANS.
LAKE PONTCHARTRAIN. LOUISIANA.
EAST CENTRAL LOUISIANA COASTAL.
WEST CENTRAL LOUISIANA COASTAL.
LOWER NORTH FORK RED. OKLAHOMA.
MIDDLE WASHITA. OKLAHOMA.
LITTLE CYPRESS. TEXAS.
LOWER SABINE. LOUISIANA TEXAS.
LOWER NECHES. TEXAS.
CEDAR. TEXAS.
WEST FORK SAN JACINTO. TEXAS.
SPRING. TEXAS.
BUFFALO-SAN JACINTO, TEXAS.
SABINE LAKE. LOUISIANA TEXAS.
NORTH GALVESTON BAY. TEXAS.
WEST GALVESTON BAY. TEXAS.
AUSTIN-OYSTER. TEXAS.
LOWER BRAZOS. TEXAS.
LOWER GUADALUPE. TEXAS.
NORTH CORPUS CHRIST! BAY. TEXAS.
SAN FERNANDO. TEXAS.
RIO GRANDE-FORT QUITMAN, TEXAS.
MIDDLE DES MOINES. IOWA.
Dominant
Industrial Category
POTWi
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
POTWs
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
Petroleum Refining
Inorganic Chemicals
Pharmaceuticals
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
Fertilizers
Not Classified
POTWs
POTWs
Warehousing And Storage
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
POTWs
Timber
POTWs
Organic Chemicals (OCPSF)
POTWs
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
POTWs
POTWs
Dominant
Chemical Class
Pesticide
Halogsnatsd
Hatoflenated
Metal
Halogenated
Hatogenatad
Halogenated
Halogenated
PCB/Dtadn
Halogenated
Halogenated
Halogenated
Metal
Halogenated
Metal
Metal
PCB/Dtodn
Halogenated
Pesticide
Metal
Halogenated
Metal
Halogenated
Pesticide
Halogenated
Halogenated
Halogenated
Halogenated
PAH
Halogenated
Halogenated
Metal
Metal
Page B1 - 1
-------
Table B1. Priority Group 1 Watersheds (continued)
Dominant Dominant
REGION/STATE CATUNIT/Watershed Name Industrial Category Chemical Clan
KS
11030013
MO
07140101
TN
08010100
08
CO
10190003
ND
10130101
SD
10120202
UT
16020102
09
AZ
15060106
15070102
CA
18020101
18050002
18050003
18050004
18050006
18060010
18060013
18070102
18070104
18070105
18070106
18070203
18070301
18070303
18080201
18090208
18100200
10
AK
19050002
MIDDLE ARKANSAS-SLATE. KANSAS.
CAHOKJA-JOACHIM. ILLINOIS
LOWER MISSISSIPPI-MEMPHIS, ARKANSAS
MIDDLE SOUTH PLATTE-CHERRY CREEK,
PAINTED WOODS-SQUARE BUTTE. NORTH
LOWER BELLE FOURCHE. MONTANA SOUT
LOWER WEBER. UTAH.
LOWER SALT. ARIZONA.
AGUA FRIA. ARIZONA.
SACRAMENTO-LOWER COW-LOWER CLEA
SAN PABLO BAY. CALIFORNIA.
COYOTE. CALIFORNIA.
SAN FRANCISCO BAY. CALIFORNIA.
SAN FRANCISCO COASTAL SOUTH.
SANTA YNEZ. CALIFORNIA.
SANTA BARBARA COASTAL
SANTA CLARA. CALIFORNIA.
SANTA MONICA BAY. CALIFORNIA.
LOS ANGELES. CALIFORNIA.
SAN GABRIEL. CALIFORNIA.
SANTA ANA. CALIFORNIA.
ALISO-SAN ONOFRE. CALIFORNIA.
SAN LUIS REY-ESCONDIDO.
NORTH LAHONTAN. CALIFORNIA
MOJAVE. CALIFORNIA.
SALTON SEA. CALI-ORNIA.
COOK INLET. ALASKA.
POTW«
Organic Chemicals (OCPSF)
POTWs
POTWs
Not Classified
Fertilizers
POTWs
POTWs
Not Classified
POTWs
POTWs
POTWs
Metal Products and Machinery
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
Not Classified
POTWs
POTWs
POTWs
POTWs
POTWs
Metal
Metal
Pesticide
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Mstal
Pesticide
Pesticide
Pesticide
Pesticide
Pesticide
Pesticide
Pesticide
Pesticide
Pesticide
Pesticide
Pesticide
Metal
Pesticide
Metal
PageB1-8
-------
Table B1. Priority Group 1 Watersheds (continued)
Dominant Dominant
REGION/STATE CATUNIT/Watershed Name Industrial Category Chemical Class
ID
17010302 SOUTH FORK COEUR D'ALENE. IDAHO. Fertilizers Metal
OR
17080001 LOWER COLUMBIA-SANDY. OREGON POTWs Metal
WA
17080003 LOWER COLUMBIA-CLATSKANIE. OREGON Nonferrous Metals PAH
PageB1-7
-------
Table B2. Priority Group 2 Watersheds by EPA Region and State
(where HAZREL score Is greater than 81 and lees than 840)
Table B2. Priority Group 2 Watersheds
REGION/STATE CATUNIT/Watershed Name
01
CT
01080207
01100003
MA
01070002
01100001
ME
01020005
01060001
NH
01060003
RJ
01090003
01090005
02
NJ
02040105
02040301
NY
02010006
02020006
02030102
02050101
02050102
02050105
04120102
04120103
0413000!
04140202
04140203
04150101
04150301
04150302
PA
02050103
04120101
PR
FARMINGTON. CONNECTICUT
THAMES. CONNECTICUT.
MERRIMACK MASSACHUSETTS NEW
QUINEBAUG. CONNECTICUT
LOWER PENOBSCOT. MAINE.
PRESUMPSCOT, MAINE.
PISCATAQUA-SALMON FALLS. MAINE NEW
BLACKSTONE. MASSACHUSETTS RHODE
PAWCATUCK-WOOD. CONNECTICUT RHO
MIDDLE DELAWARE-MUSCONETCONG. NE
MULLICA-TOMS. NEW JERSEY
GREAT CHAZY-SARANAC. NEW YORK.
MIDDLE HUDSON. MASSACHUSETTS NEW
BRONX NEW YORK.
UPPER SUSQUEHANNA. NEW YORK
CHENANGO. NEW YORK.
CHEMUNG. NEW YORK PENNSYLVANIA.
CATTARAUGUS. NEW YORK.
BUFFALO-EIGHTEENMILE. NEW YORK.
OAKORCHARD-TWELVEMILE. NEW
ONEIDA. NEW YORK
OSWEGO. NEW YORK.
BLACK NEW YORK
UPPER ST. LAWRENCE. NEW YORK
OSWEGATCHIE. NEW YORK
OWEGO-WAPPASENING. NEW YORK
CHAUTAUQUA-CONNEAUT, NEW YORK OHI
Dominant
Industrial Category
POTW«
Pharmaceuticals
POTWs
Metal Products and Machinery
Pulp & Paper
Oil and Gas
Not Classified
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
Metal Finishing
POTWs
POTWs
Not Classified
Iron & Steel
POTWs
POTWs
POTWs
POTWs
POTWs
Fertilizers
POTWs
Pulp & Paper
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Halogenated
PAH
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Organic (N,S,P)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Page 82 -1
-------
Table B2. Priority Group 2 Watersheds (continued)
Dominant
REGION/STATE CATUNIT/Watershed Name Industrial Category
21020002
03
MD
02060002
02070002
PA
02050107
02050206
02050301
02050302
05010001
05010003
05010007
05010008
05020006
05030102
05030105
VA
02070005
02080201
02080208
03010201
wv
05050006
05050008
04
AL
03130002
03150202
03160111
03160205
FL
03130011
03140101
GA
03060203
03070103
03130001
03130003
03130005
ST. CROIX. U.S. VIRGIN ISLANDS
CHESTER-SASSAFRAS. DELAWARE
NORTH BRANCH POTOMAC. MARYLAND
UPPER SUSQUEHANNA-LACKAWANNA
LOWER WEST BRANCH SUSQUEHANNA.
LOWER SUSQUEHANNA-PENNS.
UPPER JUNIATA. PENNSYLVANIA.
UPPER ALLEGHENY. PENNSYLVANIA NEW
MIDDLE ALLEGHENY-TIONESTA.
CONEMAUGH. PENNSYLVANIA.
KISKIMINETAS. PENNSYLVANIA.
YOUGHIOGHENY. MARYLAND
SHENANGO. OHIO PENNSYLVANIA.
CONNOQUENESSING. PENNSYLVANIA.
SOUTH FORK SHENANDOAH. VIRGINIA.
UPPER JAMES. VIRGINIA WEST
HAMPTON ROADS. VIRGINIA.
NOTTOWAY. NORTH CAROLINA
UPPER KANAWHA. WEST VIRGINIA.
LOWER KANAWHA. WEST VIRGINIA.
MIDDLE CHATTAHOOCHEE-LAKE HARDING.
CAHABA. ALABAMA.
LOCUST. ALABAMA.
MOBILE BAY. ALABAMA.
APALACHICOLA. FLORIDA GEORGIA.
ST. ANDREW-ST. JOSEPH BAYS.
CANOOCHEE. GEORGIA.
UPPER OCMULGEE. GEORGIA.
UPPER CHATTAHOOCHEE. GEORGIA.
MIDDLE CHATTAHOOCHEE-WALTER F.
UPPER FLINT. GEORGIA.
Petroleum Refining
POTWs
Pulp & Paper
POTWs
POTWs
Not Classified
POTWs
Metal Finishing
Petroleum Refining
Not Classified
Iron & Steel
Coal Mining
Iron & Steel
Metal Finishing
Organic Chemicals (OCPSF)
Explosives
Not Classified
Gum & Wood Chemicals
Organic Chemicals (OCPSF)
POTWs
Nonferrous Metals
Timber
Organic Chemicals (OCPSF)
Pesticides
Not Classified
Pulp & Paper
POTWs
Textiles
Not Classified
POTWs
Textiles
Dominant
Chemical Class
PAH
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
PAH
Metal
Metal
Metal
Metal
Metal
Metal
Organic (N,S,P)
Metal
Halogenated
Halogenated
Halogenated
Metal
Halogenated
Organic (N.S.P)
Halogenated
Metal
Halogenated
Halogenated
Metal
Metal
Metal
Metal
PageB2-2
-------
Table 12. Priority Group 2 Watershed* (continued)
REGION/STATE CATUNIT/Watershed Name
KY
05070204
05100205
05110003
05110005
05130103
MS
08030206
08030209
08060204
sc
03050104
03050201
03050208
TN
05130206
06010102
06010103
06010104
06010201
06010207
06020002
06030003
08010211
OS
It
07080101
07090005
07110009
07120006
07130003
07130006
IN
04050001
04100005
05080003
05120101
05120106
05120107
05120108
BIG SANDY. KENTUCKY WEST
LOWER KENTUCKY. KENTUCKY.
MIDDLE GREEN. KENTUCKY.
LOWER GREEN. KENTUCKY.
UPPER CUMBERLAND-LAKE CUMBERLAND.
UPPER YAZOO. MISSISSIPPI.
DEER-STEELE. LOUISIANA MISSISSIPPI.
COLES CREEK. LOUISIANA MISSISSIPPI.
WATEREE. SOUTH CAROLINA.
COOPER. SOUTH CAROLINA.
BROAD-ST. HELENA. SOUTH CAROLINA.
RED. KENTUCKY TENNESSEE.
SOUTH FORK HOLSTON, TENNESSEE
WATAUGA. NORTH CAROLINA
HOLSTON. TENNESSEE.
WATTS BAR LAKE. TENNESSEE,
LOWER CLINCH. TENNESSEE.
HWVASSEE. GEORGIA NORTH CAROLINA
UPPER ELK. ALABAMA TENNESSEE.
HORN LAKE-NONCONNAH. MISSISSIPPI
COPPERAS-DUCK. ILLINOIS IOWA.
LOWER ROCK. ILLINOIS WISCONSIN.
PERUQUE-PIASA. ILLINOIS MISSOURI.
UPPER FOX. ILLINOIS WISCONSIN.
LOWER ILLINOIS-LAKE CHAUTAUQUA.
UPPER SANGAMON. ILLINOIS.
ST. JOSEPH. INDIANA MICHIGAN
UPPER MAUMEE, INDIANA OHIO.
WHITEWATER. INDIANA OHIO.
UPPER WABASH. INDIANA OHIO.
TIPPECANOE. INDIANA.
WILDCAT. INDIANA.
MIDDLE WABASH-LITTLE VERMILION.
Dominant
Industrial Category
Petroleum Refining
Not Classified
Not Classified
Not Classified
POTWs
Fertilizers
Pesticides
Pulp & Paper
Not Classified
Organic Chemicals (OCPSF)
Organic Chemicals (OCPSF)
POTWs
POTWs
Organic Chemicals (OCPSF)
Fertilizers
POTWs
Not Classified
Pulp & Paper
Not Classified
Pesticides
Apparel & Other Materials
POTWs
Copper Forming
POTWs
Pesticides
Organic Chemicals (OCPSF)
POTWs
POTWs
POTWs
POTWs
Printing & Publishing
POTWs
POTWs
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Metal
Pesticide
HaJogenated
Metal
Halogenated
Halogenated
Metal
Metal
PAH
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Pesticide
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
PageB2-3
-------
Table B2. Priority Group 2 Watersheds (continued)
REGION/STATE CATUNtT/Waterched Name
06120206
KY
05140102
05140104
Ml
04050002
04050003
04050004
04060102
04070001
04080204
04090001
04090003
04090005
OH
04100007
04100008
04100010
04100011
04110001
04110004
05030103
05040001
05040004
05040006
05060001
05060002
05060003
05080001
05090201
05090202
WI
04030108
04030202
07040006
07050005
07070002
M
AR
08040203
UPPER EAST FORK WHITE. INDIANA.
SALT, KENTUCKY,
BLUE-SINKING. KENTUCKY INDIANA.
BLACK-MACATAWA. MICHIGAN.
KALAMAZOO. MICHIGAN.
UPPER GRAND. MICHIGAN.
MUSKEGON. MICHIGAN.
ST. MARYS. MICHIGAN.
FLINT. MICHIGAN.
ST. CLAIR. MICHIGAN.
CLINTON. MICHIGAN.
HURON. MICHIGAN,
AUGLAIZE. INDIANA OHIO.
BLANC HARD. OHIO.
CEDAR-PORTAGE. OHIO.
SANDUSKY. OHIO.
BLACK-ROCKY. OHIO.
GRAND. OHIO.
MAHONING. OHIO PENNSYLVANIA.
TUSCARAWAS. OHIO.
MUSKINGUM. OHIO.
LICKING. OHIO.
UPPER SCIOTO. OHIO.
LOWER SCIOTO. OHIO.
PAINT. OHIO.
UPPER GREAT MIAMI. INDIANA OHIO.
OHIO BRUSH-WHITEOAK. KENTUCKY
LITTLE MIAMI. OHIO.
MENOMINEE. MICHIGAN WISCONSIN.
WOLF. WISCONSIN.
LA CROSSE-PINE. MINNESOTA
LOWER CHIPPEWA. WISCONSIN.
LAKE DUBAY. WISCONSIN.
UPPER SALINE. ARKANSAS,
Dominant
Industrial Category
POTW8
Timber
Organic Chemicals (OCPSF)
Not Classified
POTWs
POTWf
POTWs
POTWs
POTWs
Pulp & Paper
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
Iron & Steel
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
Pulp & Paper
POTWs
Not Classified
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
Organic Chemicals (OCPSF)
Dominant
Chemical Class
Metal
Halogenated
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Pesticide
Organic (N,S,P)
Metal
Metal
Halogenated
Halogenated
PageB2-4
-------
Table B2. Priority Group 2 Watersheds (continued)
REGION/STATE CATUNlT/Watwched Name
11110104
11140109
LA
080402)7
06040301
08050001
08090203
NM
13020203
OK
11090201
11100303
11110101
11110105
11130208
TX
11140305
12020002
12030103
12070101
12090302
12100302
12110108
12110202
or
IA
07080205
07080209
07100008
KS
10240011
10260008
10270102
MO
07140102
07140107
10290108
NE
10200101
10230006
ROBERT S. KERR RESERVOIR. ARKANSAS
LOWER LITTLE, ARKANSAS
LOWER OUACHITA. LOUISIANA.
LOWER RED. LOUISIANA.
BOEUF. ARKANSAS LOUISIANA.
EASTERN LOUISIANA COASTAL.
RIO GRANDE-ALBUQUERQUE. NEW
LOWER CANADIAN-DEER. OKLAHOMA
DEEP FORK. OKLAHOMA.
POLECAT-SNAKE. OKLAHOMA.
POTEAU. ARKANSAS OKLAHOMA.
NORTHERN BEAVER. OKLAHOMA
LAKE OTHE PINES. TEXAS.
MIDDLE NECHES. TEXAS.
ELM FORK TRINITY. TEXAS.
LOWER BRAZOS-LITTLE BRAZOS.
LOWER COLORADO. TEXAS.
MEDINA. TEXAS.
LOWER FRIO. TEXAS
SOUTH CORPUS CHRISTI BAY. TEXAS.
MIDDLE CEDAR. IOWA.
LOWER IOWA. IOWA.
LAKE RED ROCK. IOWA.
INDEPENDENCE-SUGAR. KANSAS
LOWER SMOKY HILL. KANSAS.
MIDDLE KANSAS. KANSAS.
MERAMEC. MISSOURI,
WHITEWATER. MISSOURI.
SOUTH GRAND. KANSAS MISSOURI.
MIDDLE PLATTE-BUFFALO. NEBRASKA.
BIG PAPILLION-MOSQUITO. IOWA
Dominant
Industrial Category
POTWs
Timber
Organic Chemicals (OCPSF)
Timber
PQTW8
Metal Products and Machinery
Nonferrous Metals
POTWs
POTWs
POTWs
Not Classified
POTWs
Iron & Steel
POTWs
POTWs
POTWs
Organic Chemicals (OCPSF)
Metal Finishing
Petroleum Refining
Inorganic Chemicals
Not Classified
POTWs
POTWs
POTWs
POTWs
POTWs
Fertilizers
Metal Finishing
Metal Products and Machinery
Metal Products and Machinery
POTWs
Dominant
Chemical Clasc
Metal
Halogenated
Metal
Halogenated
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Page B2 - i
-------
Table B2. Priority Group 2 Watersheds (continued)
REGION/STATE CATUNIT/Watershed Name
10270203
08
CO
10190002
10190004
10190007
10190009
10190011
11020002
11020003
UT
16020202
16020203
16020204
09
AZ
15020015
15050301
CA
18010102
18020106
18050001
18060001
18070103
10
AK
19060000
ID
17050114
17060306
OR
17090003
17090007
17090008
17090010
WA
17100104
17110002
17110013
WEST FORK BIG BLUE. NEBRASKA.
UPPER SOUTH PLATTE. COLORADO.
CLEAR. COLORADO.
CACHE LA POUDRE. COLORADO
CROW. COLORADO WYOMING.
BIJOU. COLORADO
UPPER ARKANSAS. COLORADO.
FOUNTAIN. COLORADO.
SPANISH FORK. UTAH.
PROVO. UTAH.
JORDAN. UTAH,
CANYON DIABLO. ARIZONA.
UPPER SANTA CRUZ. ARIZONA.
MAD-REDWOOD. CALIFORNIA.
LOWER FEATHER. CALIFORNIA.
SUISUN BAY. CALIFORNIA.
SAN LORENZO-SOQUEL. CALIFORNIA.
CALLEGUAS. CALIFORNIA.
SOUTHEAST ALASKA. ALASKA
LOWER BOISE. IDAHO.
CLEARWATER, IDAHO WASHINGTON.
UPPER WILLAMETTE. OREGON.
MIDDLE WILLAMETTE. OREGON.
YAMHILL OREGON.
TUALATIN. OREGON.
LOWER CHEHALIS. WASHINGTON.
STRAIT OF GEORGIA. WASHINGTON.
DUWAMISH. WASHINGTON.
Dominant
Industrial Category
POTWs
POTWs
Fertilizers
POTWs
POTW8
Not Classified
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
Pulp & Paper
POTWs
POTWs
POTWs
POTWs
Pulp & Paper
POTWs
Pulp & Paper
Timber
POTWs
Timber
POTWs
Pulp & Paper
Petroleum Refining
POTWs
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
PCB/Dtoxin
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Halogenated
Metal
Metal
Metal
Halogenated
Metal
Metal
Halogenated
Metal
Halogenated
Metal
Halogenated
PAH
Metal
PageB2-6
-------
Table B2. Priority Group 2 Watersheds (continued)
Dominant Dominant
REGION/STATE CATUNIT/Watershed Name Industrial Category Chemical Clam
17110010 PUGET SOUND. WASHINGTON. POTWs Metal
17110020 DUNGENESS-ELWHA. WASHINGTON. Pulp & Paper Hatogenated
PageB2-7
-------
Table B3. Priority Group 3 Watersheds by EPA Region and State
(where HAZREL score is greater than 9.7 and less than 81)
Table B3. Priority Group 3 Watersheds
Dominant
REGION/STATE CATUNIT/Watershed Nairn Industrial Category
01
CT
01100002
MA
010802)2
01080206
01090001
01090002
ME
01030003
01040002
01050001
NH
01080104
02
NY
02010001
02020008
04140102
04150304
05010002
PR
21010002
03
DE
02)60010
MD
02070004
02070008
PA
02040104
02040205
02050202
02050204
02050205
02050305
05010005
SHETUCKET. CONNECTICUT
MILLER. MASSACHUSETTS NEW
WESTFIELD. CONNECTICUT
CHARLES. MASSACHUSETTS.
CAPE COD. MASSACHUSETTS RHODE
LOWER KENNEBEC. MAINE.
LOWER ANDROSCOGGIN. MAINE NEW
ST. CROIX. MAINE.
UPPER CONNECTICUT-MASCOMA. NEW
LAKE GEORGE. NEW YORK VERMONT.
HUOSON-WAPPINGER. NEW YORK.
SALMON-SANDY. NEW YORK.
GRASS. NEW YORK,
CONEWANGO. PENNSYLVANIA NEW
CIBUCO-GUAJATACA. PUERTO RICO
CHINCOTEAGUE. DELAWARE MARYLAND
CONQCOCHEAGUE-OPEQUON. MARYLAND
MIDDLE POTOMAC-CATOCTIN. DISTRICT O
MIDDLE DELAWARE-MONGAUP-BRODHEAD
BRANDYWINE-CHRISTINA. DELAWARE
SINNEMAHONING. PENNSYLVANIA.
BALD EAGLE. PENNSYLVANIA.
PINE. PENNSYLVANIA.
LOWER SUSQUEHANNA-SWATARA.
CLARION. PENNSYLVANIA.
POTWs
POTWs
POTWs
Not Classified
Iron & Steel
POTWs
Pulp & Paper
Pulp & Paper
POTWs
Pulp & Paper
POTWs
Pulp & Paper
Nonferrous Metals
POTWs
POTWs
No* Classified
Leather Tanning
Nonferrous Metals
POTWs
Iron & Steel
Pulp 4 Paper
Copper Forming
POTWs
Iron & Steel
Pulp Ł Paper
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Hatogenated
Metal
Halogenated
Metal
Metal
PCB/Dtoxin
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
PAH
Pesticide
Metal
Halogenated
P«geB3-1
-------
Table 83. Priority Group 3 Watersheds (continued)
REGION/STATE CATUNtT/Waterched Name
05010006
VA
02070011
02)80106
02080203
vw
05050002
05090101
04
AL
03130004
03140202
03140304
03140305
03150109
03160112
FL
03100101
03100206
03110102
GA
03060106
03060202
03070201
03130010
03150101
03150104
03150108
KY
05110001
05130101
MS
03160101
03160106
03170008
NC
03010107
03020103
03030002
03030005
MIDDLE ALLEGHENY-REDBANK.
LOWER POTOMAC. MARYLAND
PAMUNKEY. VIRGINIA.
MIDDLE JAMES-BUFFALO. VIRGINIA.
MIDDLE NEW. VIRGINIA WEST
RACCOON-SYMMES. OHIO WEST
LOWER CHATTAHOOCHEE. ALABAMA
PEA. ALABAMA FLORIDA.
LOWER CONECUH. ALABAMA FLORIDA,
ESCAMBIA. ALABAMA FLORIDA.
MIDDLE TALLAPOOSA. ALABAMA.
UPPER BLACK WARRIOR. ALABAMA.
PEACE. FLORIDA.
TAMPA BAY. FLORIDA.
ECONFINA-STEINHATCHEE. FLORIDA.
MIDDLE SAVANNAH. GEORGIA SOUTH
LOWER OGEECHEE. GEORGIA.
SATILLA. GEORGIA.
SPRING. GEORGIA.
CONASAUGA. GEORGIA TENNESSEE.
ETOWAH. GEORGIA.
UPPER TALLAPOOSA. ALABAMA
UPPER GREEN. KENTUCKY.
UPPER CUMBERLAND. KENTUCKY
UPPER TOMBIGBEE. ALABAMA
MIDDLE TOMBIGBEE-LUBBUB. ALABAMA
ESCATAWPA. ALABAMA MISSISSIPPI.
LOWER ROANOKE. NORTH CAROLINA.
LOWER TAR. NORTH CAROLINA.
HAW. NORTH CAROLINA.
LOWER CAPE FEAR. NORTH CAROLINA.
Dominant
Industrial Category
POTW»
Not Classified
Pulp & Paper
Metal Products and Machinery
Organic Chemicals (OCPSF)
Metal Finishing
Not Classified
Metal Products and Machinery
Pulp & Paper
Organic Chemicals (OCPSF)
Miscellaneous Chemicals
Petroleum Refining
Food & Kindred Products
Not Classified
Pulp & Paper
Inorganic Chemicals
Foundries
POTWs
POTWs
Textiles
POTWs
Metal Finishing
POTWs
POTWs
Metal Finishing
Pulp & Paper
Pulp & Paper
Pulp & Paper
Pharmaceuticals
Textiles
Inorganic Chemicals
Dominant
Chemical Class
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Mete)
Halogenated
Metal
Halogenated
Organic (C,H,O)
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
PAH
Halogenated
Metal
Metal
Metal
Metal
Metal
Halogenated
Halogenated
Halogenated
Halogenated
Metal
PageB3-2
-------
Table B3. Priority Group 3 Watersheds (continued)
REGION/STATE CATUNIT/Water shed Name
03050102
sc
03040204
03050108
03050110
03050202
03060101
TN
05130104
05130203
06010107
06010208
06030004
06040003
08010203
08010204
08010205
08010207
VA
03010103
03040101
OS
1A
07060005
IL
05120109
05120111
07120001
07130001
07130007
07140106
IN
04100003
05120103
05120110
05120204
05120208
05120209
07120002
15120105
SOUTH FORK CATAWBA. NORTH
LITTLE PEE DEE. NORTH CAROLINA SOUTH
ENOREE. SOUTH CAROLINA.
CONGAREE. SOUTH CAROLINA.
SOUTH CAROLINA COASTAL. SOUTH
SENECA. NORTH CAROLINA SOUTH
SOUTH FORK CUMBERLAND. KENTUCKY
STONES. TENNESSEE.
LOWER FRENCH BROAD. TENNESSEE.
EMORY. TENNESSEE.
LOWER ELK. ALABAMA TENNESSEE.
LOWER DUCK. TENNESSEE.
SOUTH FORKOBION. TENNESSEE.
NORTH FORK FORKED DEER.
SOUTH FORK FORKED DEER.
UPPER HATCHIE. MISSISSIPPI
UPPER DAN. NORTH CAROLINA
UPPER YADKIN. NORTH CAROLINA
APPLE-PLUM. ILLINOIS IOWA
VERMILION. ILLINOIS INDIANA.
MIDDLE WABASH-BUSSERON. ILLINOIS
KANKAKEE. ILLINOIS INDIANA
LOWER ILLINOIS-SENACHWINE LAKE.
SOUTH FORKSANGAMON. ILLINOIS.
BIG MUDDY. ILLINOIS.
ST. JOSEPH. INDIANA MICHIGAN OHIO.
MISSISSINEWA. INDIANA OHIO.
SUGAR. INDIANA.
DRIFTWOOD. INDIANA.
LOWER EAST FORK WHITE. INDIANA.
PATOKA. INDIANA.
IROQUOIS. ILLINOIS INDIANA.
UNKNOWN
Dominant
Industrial Category
Miscellaneous Chemical*
POTWs
Metal Products and Machinery
Organic Chemicals (OCPSF)
POTWs
Organic Chemicals (OCPSF)
Not Classified
POTWs
POTWs
POTWs
POTWs
Plastics Molding & Forming
POTWs
POTWs
POTWs
Metal Products and Machinery
Apparel & Other Materials
POTWs
Metal Products and Machinery
Organic Chemicals (OCPSF)
POTWs
POTWs
Metal Products and Machinery
Not Classified
POTWs
POTWs
POTWs
POTWs
POTWs
Not Classified
POTWs
Foundries
POTWs
Dominant
Chemical Class
Halogerated
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Organic (N.S.P)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Page B3 - 3
-------
Table B3. Priority Group 3 Watersheds (continued)
REGION/STATE CATUNIT/Waterched Name
Ml
04020101
04060105
04070004
04070006
04080202
04080206
04100001
04100002
MN
04010201
07010103
07010104
07010203
07010205
07020004
07020007
07020012
07040001
07040002
07040003
07040004
07080202
09030003
OH
04100004
04100012
05030202
05040002
05040003
05040005
Wl
04030203
07060001
07070001
06
AR
08020203
08020402
08040101
BLACK-PRESQUE ISLE. MICHIGAN
BOARDMAN-CHARLEVOIX. MICHIGAN.
CHEBOYGAN. MICHIGAN.
THUNDER BAY. MICHIGAN.
PINE. MICHIGAN.
SAGINAW. MICHIGAN.
OTTAWA-STONY. MICHIGAN OHIO.
RAISIN. MICHIGAN OHIO.
ST. LOUIS. MINNESOTA WISCONSIN.
PRAIRIE-WILLOW. MINNESOTA.
ELK-NOKASIPPI. MINNESOTA.
CLEARWATER-ELK. MINNESOTA.
SOUTH FORK CROW. MINNESOTA.
HAWK-YELLOW MEDICINE.
MIDDLE MINNESOTA. MINNESOTA.
LOWER MINNESOTA. MINNESOTA.
RUSH-VERMILLION. MINNESOTA
CANNON. MINNESOTA.
BUFFALO-WHITEWATER. MINNESOTA
ZUMBRO. MINNESOTA.
SHELL ROCK. IOWA MINNESOTA.
RAINY LAKE. MINNESOTA.
ST. MARYS. INDIANA OHIO.
HURON-VERMILION. OHIO.
UPPER OHIO-SHADE, OHIO WEST
MOHICAN. OHIO.
WALHONDING. OHIO.
WILLS. OHIO.
LAKE WINNEBAGO. WISCONSIN.
COON-YELLOW. IOWA MINNESOTA
UPPER WISCONSIN. MICHIGAN
LOWER ST. FRANCIS. ARKANSAS
BAYOU METO. ARKANSAS.
OUACHITA HEADWATERS. ARKANSAS,
Dominant
Industrial Category
Fertilizers
POTWs
POTWs
Pulp & Paper
Petroleum Refining
Metal Products and Machinery
Not Classified
POTW»
Pulp & Paper
Not Classified
POTWs
POTWs
Metal Products and Machinery
POTWs
POTWs
POTWs
Leather Tanning
POTWs
POTWs
POTWs
POTW»
Paint Formulating
POTWs
Not Classified
Printing & Publishing
POTWs
POTWs
POTWs
POTWs
Not Classified
POTWs
Furniture & Fixtures
Metal Products and Machinery
Fertilizers
Dominant
Chemical Ctas*
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Haiogenated
Metal
Metal
Metal
Organic (C.H.O)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Haiogenated
Metal
Haiogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
PageB3-4
-------
Table B3. Priority Group 3 Watersheds (continued)
REGION/STATE CATUNIT/Watershed Narrw
08040205
LA
08040303
08080101
BAYOU BARTHOLOMEW. ARKANSAS
DUGDEMONA. LOUISIANA,
ATCHAFALAYA. LOUISIANA.
Dominant
Industrial Category
Pulp & Paper
Organic Chemicals (OCPSF)
Petroleum Refining
Dominant
Chemical Class
Halogenated
Metal
Halogenated
OK
TX
11100302 LOWER NORTH CANADIAN.
11130206 WICHITA. TEXAS,
11140302 LOWER SULPHUR. ARKANSAS TEXAS.
12010002 MIDDLE SABINE. LOUISIANA TEXAS.
12020001 UPPER NECHES. TEXAS.
12020005 LOWER ANGELINA. TEXAS.
12030106 EAST FORK TRINITY. TEXAS.
12050001 YELLOW HOUSE DRAW. NEW MEXICO
12100401 CENTRAL MATAGORDA BAY. TEXAS.
POTWs Metal
Foundries Metal
Metal Finishing Metal
Organic Chemicals (OCPSF) Metal
POTWs Metal
Pulp & Paper HalogenaJed
POTWs Metal
Electrical Metal
Organic Chemicals (OCPSF) Metal
IA
07060003
07080201
07080203
07100005
07100009
10230001
KS
11030017
11030018
MO
07110004
10240005
10290106
10300101
11010003
11070207
NE
10180009
10200102
10200202
10200203
10220003
10270202
GRANT-LITTLE MAQUOKETA. IOWA
UPPER CEDAR. IOWA MINNESOTA.
WINNEBAGO. IOWA MINNESOTA.
BOONE. IOWA.
LOWER DES MOINES. IOWA MISSOURI.
BLACKBIRD-SOLDIER, IOWA NEBRASKA.
UPPER WALNUT RIVER. KANSAS.
LOWER WALNUT RIVER. KANSAS.
THE SNY. ILLINOIS MISSOURI.
TARKIO-WOLF. IOWA KANSAS MISSOURI
SAC. MISSOURI.
LOWER MISSOURI-CROOKED. KANSAS
BULL SHOALS LAKE. ARKANSAS
SPRING. KANSAS MISSOURI
MIDDLE NORTH PLATTE-SCOTTS BLUFF.
WOOD. NEBRASKA.
LOWER PLATTE. NEBRASKA.
SALT. NEBRASKA.
LOWER ELKHORN. NEBRASKA.
MIDDLE BIG BLUE. NEBRASKA.
Metal Products and Machinery
POTWs
POTWs
POTWs
POTWs
POTWs
Petroleum Refining
Metal Finishing
Stone, Clay, Glass, & Concret
Nonferrous Metals
Metal Products and Machinery
Metal Finishing
POTWs
Timber
POTWs
POTWs
Metal Finishing
Food & Kindred Products
POTWs
Metal Products and Machinery
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
PAH
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Page B3 - S
-------
Table 83. Priority Group 3 Watersheds (continued)
Dominant
REGION/STATE C ATUNIT/Watershed Nairn industrial Category
OS
CO
10190012
11020001
14010002
14010003
14010005
14020006
14030002
14080104
SD
10120110
UT
14030005
16020201
09
AZ
15030104
15050100
15060103
15060105
CA
18020108
18020111
18030012
18040001
18040003
18070101
18070204
18090102
HI
20060000
10
AK
19020001
19050003
OR
17090012
17100207
17100302
MIDDLE SOUTH PLATTE-STERLING.
ARKANSAS HEADWATERS. COLORADO.
BLUE. COLORADO.
EAGLE. COLORADO.
COLORADO HEADWATERS-PLATEAU. UTA
UNCOMPAHANGE. COLORADO
UPPER DOLORES. COLORADO UTAH.
ANIMAS. COLORADO NEW MEXICO.
RAPID. SOUTH DAKOTA.
UPPER COLORADO-KANESPRINGS. COLOR
UTAH LAKE. UTAH.
IMPERIAL RESERVOIR. ARIZONA
MIDDLE GILA. ARIZONA.
UPPER SALT. ARIZONA.
TONTO. ARIZONA.
LOWER BEAR. CALIFORNIA.
LOWER AMERICAN. CALIFORNIA.
TULARE-BUENA VISTA LAKES.
MIDDLE SAN JOAQUIN-LOWER CHOWCHILL
SAN JOAQUIN DELTA. CALIFORNIA.
VENTURA. CALIFORNIA.
NEWPORT BAY. CALIFORNIA.
CROWLEY LAKE. CALIFORNIA
OAHU. HAWAII.
KOTZEBUE SOUND. ALASKA.
GULF OF ALASKA. ALASKA
LOWER WILLAMETTE. OREGON.
SILTCOOS. OREGON.
SOUTH UMPQUA. OREGON.
POTWs
Not Classified
Fertilizers
POTWs
POTWs
Fertilizers
Fertilizers
Fertilizers
POTWs
POTWs
Iron & Steel
POTWs
POTWs
POTWs
POTWs
Metal Products and Machinery
POTWs
POTWs
POTWs
Organic Chemicals (OCPSF)
POTWs
Metal Products and Machinery
Fertilizers
Metal Finishing
Fertilizers
Not Classified
Inorganic Chemicals
Pulp & Paper
Nonferrous Metals
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
PageB3-6
-------
Table B3. Priority Group 3 Watersheds (continued)
Dominant Dominant
REGION/STATE CATUNfT/Watershed Name Industrial Category Chemical Class
WA
171001% GRAYS HARBOR. WASHINGTON. Pulp & Paper Hatogenated
17110014 PUYALLUP. WASHINGTON. Pulp & Paper Hatogenated
Pag«B3-7
-------
Table B4. Priority Group 4 Watersheds by EPA Region and State
(where HAZREL score Is greater than 1.1 and less than 1.7}
Table B4. Priority Group 4 Watersheds
REGION/STATE CATUNIT/Watershed Name
01
MA
01070005
01080203
01080204
ME
01020001
NH
01070004
01080201
VT
02010003
02
NY
04150305
PR
21010001
03
PA
02050106
02050201
02050304
05010004
05030104
VA
02070006
02080204
02080205
02080207
03010101
05050001
06010205
04
AL
03140106
03140301
03150107
CONCORD. MASSACHUSETTS,
DEERFIELD. MASSACHUSETTS
CHICOPEE. MASSACHUSETTS.
WEST BRANCH PENOBSCOT. MAINE.
NASHUA. MASSACHUSETTS NEW
MIDDLE CONNECTICUT. MASSACHUSETTS
WINOOSKI. VERMONT.
RAQUETTE. NEW YORK.
INTERIOR PUERTO RICO. PUERTO RICO.
UPPER SUSQUEHANNA-TUNKHANNOCK,
UPPER WEST BRANCH SUSQUEHANNA.
LOWER JUNIATA. PENNSYLVANIA.
FRENCH. PENNSYLVANIA NEW YORK.
BEAVER. PENNSYLVANIA.
NORTH FORKSHENANDOAH. VIRGINIA
RIVANNA. VIRGINIA.
MIDDLE JAMES-WILLIS. VIRGINIA.
APPOMATTOX. VIRGINIA.
UPPER ROANOKE. VIRGINIA.
UPPER NEW. NORTH CAROLINA
UPPER CLINCH. TENNESSEE VIRGINIA.
PERDIDO. ALABAMA FLORIDA.
UPPER CONECUH. ALABAMA.
LOWER COOSA. ALABAMA.
Dominant
Industrial Category
Electrical
Textiles
Iron & Steel
Pulp Ł Paper
Pulp & Paper
Metal Finishing
Electrical
Foundries
POTW»
Printing & Publishing
Not Classified
Iron & Steel
POTWs
Not Classified
Textiles
Metal Finishing
Metal Finishing
Pharmaceuticals
Textiles
inorganic Chemicals
Not Classified
Timber
Nonferrous Metals
Iron & Steel
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Organic (C,H,O)
Metal
Metal
Metal
Halogenated
Metal
Metal
Page B4 -1
-------
Table B4. Priority Group 4 Watersheds (continued)
Dominant
REGION/STATE CATUNIT/Watershed Name Industrial Category
03160110
03160113
FL
03080101
03080202
03090202
03100204
03100205
03100207
03110201
03120001
GA
03060102
03060105
03060201
03070107
03110202
03130008
03150103
03150105
KY
05100101
05100102
05110002
MS
03170006
03160003
08030201
08030205
NC
03010104
03020101
03020202
03020204
03030003
03030004
03030007
03040105
03040206
03050101
SIPSEY FORK ALABAMA.
LOWER BLACK WARRIOR. ALABAMA.
UPPER ST. JOHNS. FLORIDA.
CAPE CANAVERAL. FLORIDA.
EVERGLADES. FLORIDA.
ALAFIA. FLORIDA.
HILLSBOROUGH. FLORIDA.
CRYSTAL-PITHLACHASCOTEE.
UPPER SUWANNEE. FLORIDA
APALACHEE BAY-ST. MARKS. FLORIDA
TUGALOO. GEORGIA NORTH CAROLINA
LITTLE. GEORGIA.
UPPER OGEECHEE. GEORGIA.
OHOOPEE. GEORGIA.
ALAPAHA. FLORIDA GEORGIA.
LOWER FLINT. GEORGIA.
OOSTANAULA. GEORGIA.
UPPER COOSA. ALABAMA GEORGIA.
LICKING. KENTUCKY.
SOUTH FORK LICKING. KENTUCKY.
BARREN. KENTUCKY TENNESSEE.
PASCAGOULA. MISSISSIPPI.
MIDDLE PEARL-SILVER. MISSISSIPPI.
LITTLE TALLAHATCHIE. MISSISSIPPI.
YALOBUSHA. MISSISSIPPI.
LOWER DAN. NORTH CAROLINA
UPPER TAR. NORTH CAROLINA.
MIDDLE NEUSE. NORTH CAROLINA.
LOWER NEUSE. NORTH CAROLINA
DEEP. NORTH CAROLINA.
UPPER CAPE FEAR. NORTH CAROLINA.
NORTHEAST CAPE FEAR. NORTH
ROCKY NORTH CAROLINA SOUTH
WACCAMAW. NORTH CAROLINA SOUTH
UPPER CATAWBA. NORTH CAROLINA SOU
Metal Products and Machinery
Organic Chemicals (OCPSF)
POTW*
POTWs
Metal Finishing
Inorganic Chemicals
Pesticides
Not Classified
Not Classified
Not Classified
Miscellaneous Chemicals
POTWs
Textiles
POTWs
POTWs
POTWs
Textiles
POTWs
Iron & Steel
IronS Steel
Metal Products and Machinery
Fertilizers
Nonferrous Metal Forming
Metal Products and Machinery
Metal Finishing
Textiles
Pharmaceuticals
Metal Finishing
Pulp & Paper
Miscellaneous Chemicals
Metal Finishing
Inorganic Chemicals
Nonferrous Metals
Metal Finishing
Miscellaneous Chemicals
Dominant
Chemical Class
Metal
Halogenated
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
HaJogenated
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Halogenated
PageB4-2
-------
Table B4. Priority Group 4 Watershed* (continued)
REGION/STATE CATUNIT/Watershed Name
SC
03040205
03050106
03050205
0305020S
TN
06010204
06030001
06040001
06040002
06040004
W
IL
05120112
05120114
07090006
07120007
07130009
0^130010
07130011
C7130012
17140204
IN
05r.x>ii3
05t2C,W
Ml
04020102
04020103
04020105
04020201
04030109
04030110
04050005
04060103
04060106
04080103
MN
07010202
07020009
09020103
BLACK. SOUTH CAROLINA.
LOWER BROAD. SOUTH CAROLINA.
EDISTO. SOUTH CAROLINA
FOUR HOLE SWAMP. SOUTH CAROLINA.
LOWER LITTLE TENNESSEE. NORTH
GUNTERSVILLE LAKE. ALABAMA GEORGIA
LOWER TENNESSEE-BEECH, MISSISSIPPI
UPPER DUCK. TENNESSEE.
BUriHl.O. TENNESSEE.
EMBARRAS. ILLINOIS.
LITrU: WABAKH. ILLINOIS.
K1SH A'AUKEE. ILLINOIS WISCONSIN.
LOWE1? FOX. ILLINOIS.
SALT, ILL'NOIS.
LA MOINc. ILUNOiS,
LOWEF. ILLINOIS. ILLINOIS.
MACOUPiN. ILLINOIS,
LOV/E* KASKASKIA. ILLINOIS.
LOWIIR WABASH, ILLINOIS INDIANA.
MUS JATATUCK. INDIANA.
QNTDNACiON. MICHIGAN WISCONSIN.
KEW EEKAW PENINSULA MICHIGAN.
0=Al>-KŁLSEY. MICHIGAN.
BErsv-CHOCOLAY. MICHIGAN.
CSLJR-FORD. MICHIGAN.
ESC* NABA, MICHIGAN.
M^PlE, MICHIGAN.
MANI.iTEE. M»CHIGAN.
MANirriQUE, MICHIGAN.
PiGt'OM-WISCOGGIN. MICHIGAN.
SAUK. i 1IN -IESOTA.
BLUE E*«TH. IOWA MINNESOTA.
OTTER T,\ L. MliMhESOTA.
Dominant
Industrial Category
Textiles
Textiles
Not Classified
Metal Products and Machinery
Printing & Publishing
POTWs
POTW»
Leather Tanning
Metal Finishing
Petroleum Refining
POTWa
Foundries
Metal Products and Machinery
Metal Products and Machinery
Metal Products and Machinery
Food & Kindred Products
POTWs
POTWs
POTW*
POTWi
Pulp & Paper
POTWs
POTWs
Pulp & Paper
Metal Products and Machinery
Pulp & Paper
POTWs
POTWs
Pulp & Paper
Not Classified
Metal Finishing
POTWs
POTWs
Dominant
Chemical Class
Organic (C.H.O)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Mtta4
Metal
Metal
Metal
Metal
Hatogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
PageB4-3
-------
Table B4. Priority Group 4 Watersheds (continued)
REGION/STATE CATUNIT/Watershtd Nairn
MO
07110001
OH
04100006
Wl
04010301
04030102
04030105
07050002
07070005
08
AR
08020301
08020302
08020401
08040201
08040202
11010001
11140106
LA
08080102
08080201
11140203
11140206
NM
13020101
OK
11050002
11050003
11060001
11070106
11070107
11070209
11110102
11130302
11140107
TX
11090106
11120103
12020004
BEAR-WYACONDA. ILLINOIS IOWA
TIFFIN. MICHIGAN OHIO.
BEARTRAP-NEMADJI. MINNESOTA
DOOR-KEWAUNEE. WISCONSIN.
PESHTIGO. WISCONSIN.
FLAMBEAU. MICHIGAN WISCONSIN.
LOWER WISCONSIN. WISCONSIN.
LOWER WHITE-BAYOU DES ARC.
CACHE. ARKANSAS MISSOURI.
LOWER ARKANSAS. ARKANSAS
LOWER OUACHITA-SMACKOVER.
LOWER OUACHITA-BAYOU OE LOUTRE.
BEAVER RESERVOIR. ARKANSAS
PECAN-WATERHOLE. ARKANSAS
BAYOU TECHE. LOUISIANA.
MERMENTAU HEADWATERS.
LOGGY BAYOU. ARKANSAS LOUISIANA.
BAYOU PIERRE. LOUISIANA.
UPPER RIO GRANDE, COLORADO NEW
LOWER CIMARRON-SKELETON,
LOWER CIMARRON. OKLAHOMA.
KAW LAKE. KANSAS OKLAHOMA.
CANEY. KANSAS OKLAHOMA.
BIRO. OKLAHOMA.
LOWER NEOSHO. ARKANSAS
DIRTY-GREENLEAF, OKLAHOMA.
UPPER WASHITA. OKLAHOMA.
UPPER LITTLE. OKLAHOMA.
MIDDLE CANADIAN-SPRING. TEXAS.
UPPER PRAIRIE DOG TOWN FORK RED.
UPPER ANGELINA. TEXAS,
Dominant
Industrial Category
Metal Products and Machinery
POTWs
POTWs
Metal Finishing
Pulp & Paper
Pulp & Paper
Metal Products and Machinery
Metal Products and Machinery
Foundries
Iron & Steel
Petroleum Refining
Petroleum Refining
Metal Finishing
Pulp & Paper
Inorganic Chemicals
POTWs
Metal Products and Machinery
POTWs
Fertilizers
Fertilizers
Iron & Steel
Petroleum Refining
POTWs
POTWs
POTWs
Pulp & Paper
POTWs
POTWs
Petroleum Refining
Stone, Clay, Glass, & Concret
POTWs
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Organic (C.H.O)
Organic (C.H.O)
Metal
PageB4-4
-------
Tabla 84. Priority Group 4 Watershed* (continued)
Dominant
REGION/STATE CATUNIT/Watershed Nairn
12030102
12030109
12060102
12070204
12080002
12090402
12100202
12100402
12100403
12110208
07
IA
07080107
07080208
07100003
07100007
10240001
10240003
IL
07080104
KS
11030010
11070205
MO
07110006
07140103
08020202
10290104
10300102
NE
10190016
10190018
10200201
10210009
10220004
10240008
10270201
08
CO
10190001
LOWER WEST FORK TRINITY. TEXAS.
CHAMBERS. TEXAS.
UPPER CLEAR FORK BRAZOS. TEXAS.
LITTLE. TEXAS.
COLORADO HEADWATERS. TEXAS
EAST MATAGORDA BAY. TEXAS.
MIDDLE GUADALUPE. TEXAS.
WEST MATAGORDA BAY. TEXAS.
EAST SAN ANTONIO BAY, TEXAS.
SOUTH LACUNA MADRE. TEXAS.
SKUNK. IOWA.
MIDDLE IOWA. IOWA.
EAST FORK DES MOINES. IOWA
SOUTH RACCOON. IOWA.
KEG-WEEPING WATER. IOWA MISSOURI
EAST NISHNABOTNA. IOWA.
FLINT-HENDERSON. ILLINOIS IOWA.
GAR-PEACE. KANSAS.
MIDDLE NEOSHO. KANSAS OKLAHOMA.
SOUTH FORK SALT. MISSOURI.
BOURBEUSE. MISSOURI.
UPPER ST. FRANCIS. MISSOURI.
MARMATON. KANSAS MISSOURI.
LOWER MISSOURI-MOREAU. MISSOURI.
LOWER LODGEPOLE. COLORADO NEBRAS
LOWER SOUTH PLATTE. COLORADO
LOWER PLATTE-SHELL. NEBRASKA.
LOUP. NEBRASKA.
LOGAN. NEBRASKA.
BIG NEMAHA. KANSAS NEBRASKA.
UPPER BIG BLUE. NEBRASKA.
SOUTH PLATTE HEADWATERS.
Industrial Category
Organic Chemical* (OCPSF)
POTW«
Petroleum Refining
Furniture & Fixtures
POTWs
Petroleum Refining
Textiles
Organic Chemicals (OCPSF)
Pharmaceuticals
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
POTWs
Not Classified
Not Classified
Nonferrous Metal Forming
Metal Products and Machinery
Nonferrous Metals
Metal Finishing
Soaps & Detergents
POTWs
POTWs
Metal Products and Machinery
POTWs
POTWs
POTWs
Timber
Fertilizers
Dominant
Chemical Class
Metal
Metal
Organic (C.H.O)
Metal
Metal
Organic (C,H,O)
Metal
Metal
PAH
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Organic (N,S,P)
Organic (C.H.O)
Halogenated
Metal
finCwli
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Page B4 - S
-------
Table B4. Priority Group 4 Watersheds (continued)
REGION/STATE CATUNIT/Watershed Name
10190005
10190006
13010001
13010002
14020004
MT
10020008
10070002
10070004
17010204
ND
10130203
UT
14060003
14060007
16020309
16020310
WY
10180007
09
AZ
15040004
15070101
CA
18010101
18010110
18060002
18060011
18060012
18070201
18070304
10
ID
17010214
WA
17010305
17010308
17070101
17070105
17110011
ST. VRAIN. COLORADO.
BIG THOMPSON. COLORADO.
RIO GRANDE HEADWATERS. COLORADO
ALAMOSA-TRINCHERA. COLORADO NEW
NORTH FORK GUNNISON. COLORADO.
GALLATIN. MONTANA WYOMING.
UPPER YELLOWSTONE. MONTANA
UPPER YELLOWSTONE-LAKE BASIN.
MIDDLE CLARK FORK MONTANA.
LOWER HEART. NORTH DAKOTA.
DUCHESNE. UTAH.
PRICE. UTAH.
CURLEW VALLEY. IDAHO UTAH.
GREAT SALT LAKE. UTAH.
MIDDLE NORTH PLATTE-CASPER.
SAN FRANCISCO. ARIZONA NEW
LOWER GILA-PAINTED ROCK RESERVOIR.
SMITH. CALIFORNIA OREGON.
RUSSIAN, CALIFORNIA.
PAJARO. CALIFORNIA.
ALISAL-ELKHORN SLOUGHS.
CARMEL. CALIFORNIA.
SEAL BEACH. CALIFORNIA.
SAN DIEGO. CALIFORNIA.
PEND OREILLE LAKE. IDAHO
UPPER SPOKANE. IDAHO WASHINGTON.
LITTLE SPOKANE. IDAHO
MIDDLE COLUMBIA-LAKE WALLULA.
MIDDLE COLUMBIA-HOOD. OREGON
SNOHOMISH. WASHINGTON.
Dominant
Industrial Category
POTWs
POTW»
Fertilizers
Fertilizers
POTWs
Timber
Tobacco Products
Petroleum Refining
Pulp & Paper
Petroleum Refining
Petroleum Refining
POTWs
Metal Products and Machinery
Petroleum Refining
Not Classified
Fertilizers
POTWs
POTWs
Metal Products and Machinery
POTWs
Inorganic Chemicals
POTWs
Not Classified
Electrical
Timber
Not Classified
Nonferrous Metals
Pulp & Paper
Nonferrous Metals
POTWs
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Halogenated
Metal
Organic (C.H.O)
Metal
Metal
Organic (C.H.O)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Halogenated
Metal
Metal
P*geB4-8
-------
Table B4. Priority Croup 4 Watersheds (continued)
Dominant Dominant
REGION/STATE CATUNIT/Waterslied Nam Industrial Category Chemical Class
17110012 LAKE WASHINGTON. WASHINGTON. Electrical Metal
Pag«B4-7
-------
Table BS. Priority Group 5 Watersheds by EPA Region and State
(where HAZREL score is less than 1.1)
Table BS. Priority Group • Watersheds
REGION/STATE CATUNIT/Watershed Name
01
ME
01010001
01020004
01050002
01050003
01060002
NH
01040001
01070001
01070003
VT
01080105
01080106
02010002
03
DE
02040207
02060008
MD
02060004
PA
02050104
VA
02080103
02080104
02080107
02080108
03010105
03010204
wv
05020004
05030203
05050003
05070102
04
AL
UPPER ST. JOHN. MAINE,
PISCATAQUIS. MAINE.
MAINE COASTAL. MAINE.
ST. GEORGE-SHEEPSCOT. MAINE.
SACO. MAINE NEW HAMPSHIRE.
UPPER ANDROSCOGGIN. MAINE NEW
PEMIGEWASSET. NEW HAMPSHIRE.
CONTOQCOOK. NEW HAMPSHIRE.
WHITE. VERMONT.
BLACK-OTTAUQUECHEE. VERMONT.
OTTER. VERMONT.
BROADKILL-SMYRNA. DELAWARE,
NANTICOKE. DELAWARE MARYLAND.
SEVERN. MARYLAND.
TIOGA. NEW YORK PENNSYLVANIA.
RAPIDAN-UPPER RAPPAHANNOCK,
LOWER RAPPAHANNOCK. VIRGINIA.
YORK. VIRGINIA,
LYNNHAVEN-POQUOSON. VIRGINIA.
BANISTER. VIRGINIA.
MEHERIIN, NORTH CAROLINA
CHEAT, PENNSYLVANIA WEST
LITTLE KANAWHA. WEST VIRGINIA,
GREENBRIER. WEST VIRGINIA.
LOWER GUYANDOTTE. WEST VIRGINIA.
Dominant
Industrial Category
Pulp & Paper
POTWs
POTWs
Metal Finishing
POTWs
Pulp & Paper
Metal Products and Machinery
Not Classified
Metal Products and Machinery
Metal Products and Machinery
Food & Kindred Products
Organic Chemicals (OCPSF)
POTWs
POTWs
Leather Tanning
Metal Products and Machinery
POTWs
Not Classified
Metal Products and Machinery
Textiles
Textiles
Foundries
Textiles
Leather Tanning
Nonferrous Metal Forming
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Halogenated
Metal
Halogenated
Organic (C,H,O)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Page Bfi -1
-------
Table BS. Priority Group I Watersheds (continued)
REGION/STATE CATUNIT/Watershed Name
Dominant
Industrial Category
Dominant
Chemical Class
FL
GA
KY
MS
NC
03140201
03150110
03150203
03160103
03160109
06030006
03100208
03110206
03120003
03060104
03060108
03070101
03110204
06010202
05110006
05140103
03160102
03160104
03160105
03170001
03170002
03170004
03170005
03180002
03180004
08030207
03010205
03020201
03020203
03030006
03040102
03040104
06010105
UPPER CHOCTAWHATCHEE. ALABAMA.
LOWER TALLAPOOSA. ALABAMA,
MIDDLE ALABAMA. ALABAMA.
BUTTAHATCHIE. ALABAMA
MULBERRY. ALABAMA.
BEAR. ALABAMA MISSISSIPPI.
WITHLACOOCHEE. FLORIDA.
SANTA FE. FLORIDA.
LOWER OCHLOCKONEE. FLORIDA
BROAD. GEORGIA.
BRIER. GEORGIA.
UPPER OCONEE. GEORGIA.
LITTLE. GEORGIA.
Metal Products and Machinery
Foundries
Pulp & Paper
Metal Products and Machinery
Not Classified
Nonferrous Metals
Iron & Steel
Organic Chemicals (OCPSF)
Not Classified
POTWs
POTWs
Soaps & Detergents
Metal Finishing
UPPER LITTLE TENNESSEE. GEORGIA NO Textiles
POND. KENTUCKY.
ROLLING FORK. KENTUCKY.
TOWN. MISSISSIPPI
TIBBEE. MISSISSIPPI.
LUXAPALLILA. ALABAMA MISSISSIPPI.
CHUNKY-OKATIBBEE. MISSISSIPPI.
UPPER CHICKASAWHAY. ALABAMA
UPPER LEAF. MISSISSIPPI.
LOWER LEAF. MISSISSIPPI.
MIDDLE PEARL-STRONG. MISSISSIPPI.
LOWER PEARL LOUISIANA.
BIG SUNFLOWER. MISSISSIPPI.
POTWs
Metal Products and Machinery
Metal Products and Machinery
Nonferrous Metal Forming
Miscellaneous Chemicals
Soaps & Detergents
Textiles
Gum & Wood Chemicals
Organic Chemicals (OCPSF)
Metal Products and Machinery
Metal Products and Machinery
Iron & Steel
ALBEMARLE. NORTH CAROLINA
UPPER NEUSE. NORTH CAROLINA.
CONTENTNEA. NORTH CAROLINA.
BLACK. NORTH CAROLINA.
SOUTH YADKIN. NORTH CAROLINA.
UPPER PEE DEE. NORTH CAROLINA SOUT Textiles
UPPER FRENCH BROAD. NORTH CAROLINA Textiles
Textiles
Metal Products and Machinery
Metal Products and Machinery
Metal Products and Machinery
Organic Chemicals (OCPSF)
sc
03050112 SANTEE. SOUTH CAROLINA
Textiles
Organic (C,H,O)
Metal
Metal
Metal
Metal
Metal
Metal
Organic (C.H.O)
Metal
Organic (C,H,O)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Organic (C.H.O)
Metal
Metal
Organic (C,H,O)
Organic (C,H,O)
Metal
Metal
Metal
Halogenated
Metal
Metal
Halogenated
PAH
Halogenated
Halogenated
Metal
PageBS-2
-------
Table BS. Priority Group S Watersheds (continued)
REGION/STATE CATUNIT/Watershed Name
03050204
03050207
TN
05130106
05130107
05130108
05130204
08010209
OS
IL
05120115
07090003
07130002
07130004
07140203
IN
05120102
05120104
05120105
05120202
05120203
05120205
Ml
04070003
04080101
04080203
MN
07010204
07030005
09020303
09030001
WI
04030104
07050007
07070004
07090002
06
AR
08020100
08020303
SOUTH FORK EDISTO. SOUTH
SALKEHATCH1E. SOUTH CAROLINA
UPPER CUMBERLAND-CORDELL HULL
COLLINS. TENNESSEE.
CANEY. TENNESSEE.
HARPETH. TENNESSEE.
LOOSAHATCHIE. TENNESSEE.
SKILLET. ILLINOIS.
PECATONICA. ILLINOIS WISCONSIN.
VERMILION. ILLINOIS.
MACKINAW. ILLINOIS.
SHOAL. ILLINOIS.
SALAMONIE. INDIANA.
EEL INDIANA.
MIDDLE WABASH-DEER. INDIANA.
LOWER WHITE. INDIANA.
EEL. INDIANA.
FLATROCK-HAW. INDIANA.
LONE LAKE-OCQUEOC. MICHIGAN.
AU GRES-RIFLE. MICHIGAN.
SHIAWASSEE. MICHIGAN.
CROW. MINNESOTA.
LOWER ST. CROIX MINNESOTA
RED LAKE. MINNESOTA.
RAINY HEADWATERS. MINNESOTA.
OCONTO. WISCONSIN,
RED CEDAR. WISCONSIN.
BARABOO. WISCONSIN.
CRAWFISH. WISCONSIN.
LOWER MISSISSIPPI-HELENA. ARKANSAS
LOWER WHITE. ARKANSAS.
Dominant
Industrial Category
Foundries
Textiles
Metal Products and Machinery
Metal Products and Machinery
Stone, Clay, Glass, & Concret
Metal Products and Machinery
Inorganic Chemicals
Paint Formulating
Metal Products and Machinery
Foundries
Metal Products and Machinery
POTWs
Metal Products and Machinery
Metal Products and Machinery
Furniture & Fixtures
Metal Products and Machinery
Apparel & Other Materials
Metal Products and Machinery
Copper Forming
Metal Products and Machinery
POTWs
Metal Products and Machinery
POTWs
Metal Products and Machinery
Fertilizers
Pulp & Paper
POTWs
POTWs
Metal Products and Machinery
Pesticides
Metal Products and Machinery
Dominant
Chemical Class
Metal
Metal
Metal
Metal
Metal
Metal
PAH
Organic (C,H,O)
Metal
Metal
Metal
Metal
Metal
Metal
Organic (C.H.O)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Organic (C.H.O)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Page BS - 3
-------
Table B6. Priority Group 6 Watershed! (continued)
REGION/STATE CATUNIT/Watarshed Nam
Dominant
Industrial Category
Dominant
Chemical Claw
LA
06020304 BIG. ARKANSAS.
11010014 LITTLE RED. ARKANSAS.
11110103 ILLINOIS. ARKANSAS OKLAHOMA.
11110203 LAKE CONWAY-POINT REMOVE.
08040304 LITTLE. LOUISIANA.
08070202 AMITE. LOUISIANA MISSISSIPPI.
08070203 TICKFAW. LOUISIANA MISSISSIPPI.
08080203 UPPER CALCASIEU. LOUISIANA.
08080204 WHISKY CHITTO. LOUISIANA.
11140204 RED CHUTE. LOUISIANA.
11140304 CROSS BAYOU. ARKANSAS LOUISIANA
MO
NM
OK
TX
11010007 UPPER BLACK. ARKANSAS MISSOURI.
12080003 MONUMENT-SEMINOLE DRAWS. NEW
13020201 RIO GRANDE-SANTA FE. NEW MEXICO.
13020207 RIO SAN JOSE. NEW MEXICO.
13060008 RIO HONDO. NEW MEXICO.
11060004 LOWER SALT FORK ARKANSAS. KANSAS
11060005 CHIKASKIA. KANSAS OKLAHOMA.
11070105 LOWER VERDIGRIS. OKLAHOMA.
11090204 LOWER CANADIAN. OKLAHOMA.
11100301 MIDDLE NORTH CANADIAN.
11090105 LAKE MEREDITH. TEXAS
11140101 BOIS D'ARC-tSLAND. OKLAHOMA
12020006 VILLAGE. TEXAS.
12030105 UPPER TRINITY. TEXAS.
12030203 LOWER TRINITY. TEXAS
12040100 SAN JACINTO. TEXAS
12050002 BLACKWATER DRAW. NEW MEXICO
12060201 MIDDLE BRAZOS-PALO PINTO. TEXAS.
12060202 MIDDLE BRAZOS-LAKE WHITNEY.
12060203 BOSQUE. TEXAS.
12060204 NORTH BOSQUE. TEXAS.
12070103 NAVASOTA. TEXAS.
12070205 SAN GABRIEL TEXAS.
12080007 SEALS. TEXAS
Organic Chemicals (OCPSF)
Metal Product! and Machinery
Metal Products and Machinery
Metal Products and Machinery
Nonferrous Metal Forming
Pesticides
POTWs
Petroleum Refining
Gum & Wood Chemicals
Copper Forming
Metal Products and Machinery
Furniture & Fixtures
Miscellaneous Chemicals
Not Classified
Fertilizers
Metal Products and Machinery
Petroleum Refining
Metal Products and Machinery
Fertilizers
Metal Products and Machinery
Fertilizers
POTWs
Apparel & Other Materials
Petroleum Refining
Metal Finishing
Iron & Steel
POTWs
Metal Products and Machinery
Not Classified
Paint Formulating
Metal Finishing
Metal Products and Machinery
Not Classified
Metal Finishing
Petroleum Refining
Halogenated
Metal
Metal
Metal
Metal
Metal
Metal
PAH
Organic (C,H,O)
Metal
Halogenated
Metal
Organic (C,H,O)
Metal
Metal
Metal
Organic {C,H,O}
Metal
Metal
Organic (N.S.P)
Metal
Metal
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Organic (C.H.O)
Metal
Metal
Metal
PageBfi-4
-------
Table BS. Priority Group 6 Watersheds (continued)
REGION/STATE CATUNIT/Waterthed Nam*
12090205
12100301
12110111
13080002
07
IA
07060002
07060006
07080105
07080206
07100006
10230003
KS
10260007
10260010
10270104
11070103
11070201
11070204
MO
07110007
07140104
10240013
10280102
10290109
10290110
10300103
10300104
NE
10220001
10220002
10270204
10270206
10270207
08
CO
11020009
14050001
MT
10030102
AUSTIN-TRAVIS LAKES. TEXAS.
UPPER SAN ANTONIO. TEXAS.
UECES. TEXAS
SAN AMBROSIA-SANTA ISABEL. TEXAS.
UPPER IOWA. IOWA MINNESOTA.
MAQUOKETA. IOWA.
SOUTH SKUNK. IOWA.
LOWER CEDAR. IOWA.
NORTH RACCOON. IOWA.
LITTLE SIOUX. IOWA MINNESOTA.
BIG. KANSAS.
LOWER SALINE. KANSAS.
LOWER KANSAS. KANSAS MISSOURI.
MIDDLE VERDIGRIS. KANSAS
NEOSHO HEADWATERS. KANSAS.
UPPER NEOSHO. KANSAS.
SALT. MISSOURI.
BIG. MISSOURI.
ONE HUNDRED AND TWO. IOWA
THOMPSON. IOWA MISSOURI.
LAKE OF THE OZARKS. MISSOURI.
NIANGUA. MISSOURI.
LAMINE. MISSOURI.
BLACKWATER. MISSOURI.
UPPER ELKHORN. NEBRASKA.
NORTH FORK ELKHORN. NEBRASKA.
TURKEY. NEBRASKA.
UPPER LITTLE BLUE. KANSAS
LOWER LITTLE BLUE. KANSAS
UPPER ARKANSAS-JOHN MARTIN RESERV
UPPER YAMPA. COLORADO.
UPPER MISSOURI-DEARBORN.
Dominant
Industrial Category
Metal Products and Machinery
Petroleum Refining
Organic Chemicals (OCPSF)
Nonferrous Metals
Metal Products and Machinery
POTWs
Porcelain Enameling
Metal Products and Machinery
Printing & Publishing
Metal Products and Machinery
POTWs
Plastics Molding & Forming
Pharmaceuticals
Petroleum Refining
Metal Products and Machinery
Electrical
Foundries
Stone, Clay, Glass, & Concret
Battery Manufacturing
Metal Products and Machinery
Metal Products and Machinery
Metal Products and Machinery
Metal Products and Machinery
Metal Products and Machinery
Rubber Products
Iron & Steel
Metal Products and Machinery
Metal Products and Machinery
POTWs
Metal Products and Machinery
Coal Mining
Petroleum Refining
Dominant
Chemical Class
Metal
Organic (C,H,O)
PAH
Metal
Metal
Metal
Metal
Halogenatad
Organic (C.H.O)
Metal
Metal
Metal
Hatogenated
Metal
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Organic (C,H,O)
Metal
Metal
Metal
Metal
Metal
Metal
Organic (C.H.O)
Metal
Organic (C.H.O)
PageB6-5
-------
Table BS. Priority Group I Watersheds (continued)
REGION/STATE CATUNIT/Watershed Name
10070007
17010201
NO
09020104
10110101
UT
16010203
WY
10120107
10120201
10180005
10180010
09
CA
18020109
18040002
18040005
18060005
18060006
HI
20020000
NV
15010015
18050102
10
AK
19030004
10
17040204
17060103
17060201
17060203
OR
17090006
17090009
17100204
17100307
WA
17020003
17020010
UPPER YELLOWSTONE-POMPEYS PILLAR.
UPPER CLARK FORK. MONTANA
UPPER RED. MINNESOTA NORTH
LAKE SAKAKAWEA. NORTH DAKOTA.
LITTLE BEAR-LOGAN. IDAHO UTAH.
BEAVER. SOUTH DAKOTA WYOMING.
UPPER BELLE FOURCHE. SOUTH DAKOTA
LITTLE MEDICINE BOW. WYOMING.
UPPER LARAMIE. COLORADO
LOWER SACRAMENTO. CALIFORNIA.
MIDDLE SAN JOAQUIN-LOWER
LOWER COSUMNES-LOWER MOKELUMNE.
SALINAS. CALIFORNIA.
CENTRAL COASTAL. CALIFORNIA.
MAUI. HAWAII.
LAS VEGAS WASH. NEVADA.
TRUCKEE. CALIFORNIA NEVADA.
TANANA. ALASKA.
TETON. IDAHO WYOMING.
LOWER SNAKE-ASOTIN. IDAHO OREGON
UPPER SALMON. IDAHO.
MIDDLE SALMON-PANTHER. IDAHO.
SOUTH SANTIAM. OREGON.
MOLALLA-PUDDING. OREGON.
SILETZ-YAQUINA. OREGON.
UPPER ROGUE. OREGON.
COLVILLE. WASHINGTON
UPPER COLUMBIA-ENTIAT.
Dominant
Industrial Category
Petroleum Refining
Fertilizers
Metal Products and Machinery
Rubber Products
Electrical
Petroleum Refining
Metal Products and Machinery
Fertilizers
Organic Chemicals (OCPSF)
Soaps & Detergents
Metal Products and Machinery
Furniture & Fixtures
POTWs
POTWs
Not Classified
Nonferrous Metals
Metal Products and Machinery
Petroleum Reflnlng
POTWa
Metal Products and Machinery
Fertilizers
Fertilizers
Plastics Molding & Forming
Electrical
Pulp & Paper
Electrical
Fertilizers
Foundries
Dominant
Chemical Class
Metal
Metal
Metal
Organic (C,H,O)
Metal
Organic (C.H.O)
Organic (C,H,O)
Metal
Halogenated
Organic (C.H.O)
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
Organic (C.H.O)
Metal
Metal
Metal
Metal
Halogenated
Metal
Metal
Metal
Metal
Metal
PageBS-«
-------
Table BS. Priority Group S Watersheds (continued)
Dominant Dominant
REGION/STATE CATUNIT/Watershed Name Industrial Category Chemical Class
17110007 LOWER SKAGIT. WASHINGTON. Plastics Molding & Forming Organic (C,H,O)
Page B*-7
-------
APPENDIX C
Detailed Analyses of Industrial Categories
-------
Table C1. HAZREL Score* by Industrial
Category and
Chemical
(where HAZREL SCOT* i* greater than 1)
Industrial Category/ Chemical Name
Adhesives & Sealants
Antimony
Dichloropropane, 1 ,2-
Tricrtloroethane, 1,1,1-
Apparel & Other Materials
Cadmium
Chromium
Copper
Lead
Nickel
Silver
Xytenes
Zinc
Asphalt Products
Anthracene
Antimony
Benzo(a)anthracene
Benzo(k)fluoranthene
Olchlorobenzidine, 3,3*-
Dichloroethene, 1,1-
Dichloropropane, 1,2-
Dlnttrotoluene, 2,4-
Hexachlorobenzene
Pentachkrophenol
Pyrene
Silver
Tetrachloroethane, 1,1,2,2-
Tetrachloromethant
Trichloroethane, 1,1,2-
Batterv Manufacturing
Antimony
Lead
Coal Mining
Nickel
Coll Coating
Chromium
Copper
Load
Nickel
Silver
Zinc
Copper FonTjIflfl
Anthracene
Chromium
Copper
Lead
Nickel
Sliver
Zinc
Electrical
Cadmium
Chromium
Copper
Facilities
2
1
24
2
21
18
3
4
1
1
8
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
10
7
1
14
16
14
10
3
11
1
a
56
18
21
3
15
3
3
85
HAZREL Score
6.6E+00
3.8E+03
4.1E+00
1.3E+01
3.2E+01
3.3E+01
8.8E+01
1.1E+00
7.5E+01
1.8E+00
1.1E+01
1.9E+01
1.6E+00
1.9E+00
2.6E+00
3.9E+02
1.4E+00
2.1E+00
2.3E*01
7.1E+02
1.3E*01
7.7E+00
3.0E+00
1.4E*00
1.0E+00
2.0E*00
7.6E*00
2.9E*00
5.6E+01
7.4E+01
1.5E*00
1.3E+02
4.4E+01
5.5E+00
4.1E+02
3.0E*01
4,3E*00
8.3E+01
2.7E+01
1.0E+02
6.5E+01
8.11*01
4.1E*00
6.1E-KX)
3.3E+01
Raw Load (KGY)
33.17
1,165.84
703.87
23.48
927.98
2,541.29
1,928.80
10.68
33.20
8,577.07
596.86
1.31
7.83
1.31
1.31
2.74
0.65
0.65
1.31
1.31
6.79
1.31
1.31
0.65
0.65
0.65
38.22
64.55
563.80
2,143.60
115.93
2,948.23
444.73
2.41
22.112.55
2.03
125.88
4,931.27
589.91
1,037.57
28.47
4,354.51
7.35
175.67
2,586.55
Page C1-1
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Lead
Nickel
Silver
Trichtoroethane, 1,1,1-
Zinc
Explosives
Copper
DDT
Dinttrotoiuene, 2,4-
Ntckel
Zinc
Fjftilfcera
Antimony
Arsenic
Benzene
Cadmium
Chromium
Copper
Lead
Mercury
Nickel
Silver
Trichloroethene
Trichloromethane
Zinc
Food & Kindred Products
Arsenic
Cadmium
Chromium
Copper
Lead
Mercury
Naphthalene
Nickel
Silver
Zinc
Foundries
Antimony
Cadmium
Chromium
Copper
Lead
Mercury
Nickel
Zinc
Furnitures fixtures
Chromium
Copper
Nickel
Toluene
Zinc
Gum & Wood Chemtcate
Chromium
Dichloropropane, 1,2-
Silver
Zinc
Facilities
19
6
3
13
A
6
1
1
2
4
5
15
1
42
10
46
41
32
10
11
2
2
51
3
6
11
12
9
7
1
16
4
16
1
6
46
109
36
1
55
34
5
5
9
16
3
1
1
1
1
HAZREL Score
7.3E+01
1.0E+01
9.8E+01
4.1E+00
4.8E-K30
1.8E+00
9.4E+01
4.1E+02
1.3E+00
2.1E+00
2.7E-H32
8.9E+02
3.5E+00
4.4E+Q3
1.6E+02
2.5E-KJ2
6.0E*02
1.9E*02
1,3E*03
3.6E+03
1.7E*01
2.3E+00
8.3E+02
4.2E+02
8.5E+01
4.6E+01
4.8E+01
7.5E+01
3JE+02
1.3E+00
1.4E+02
2.6E+02
2.1E+02
5.7E+OO
2.2E*00
3.5E+01
2.8E+01
3.1E*01
1.5E+00
1.1E+02
4.3E+Q1
2.3E+00
7.4E*00
4.8E+01
2.1E+00
5.6E+01
3.8E+00
1.0E+02
1.3E+01
2-5E+00
Raw Load (KGY)
1,613.26
101.98
43.01
695.82
260.27
138.79
0.18
22.68
13.37
114.16
1,359.20
15,051.52
402.30
7,922.87
4,572.99
19,723.64
13,152.64
50.08
13,154.22
1,585.63
150.60
141.22
44,721.19
7,171.31
152.18
1,321.03
3,711.52
1,647.02
93.37
2,165.93
1,438.27
115.16
11,216.58
28.35
4.03
1,008.53
2,208.28
676.52
0.40
1,087.30
2,295.03
66.60
578.63
475.97
4,319.94
3,006.51
111.35
31.75
5.67
135.17
Paged-2
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Inorganic Chemicals
Acenaphthene
Anthracene
Antimony
Arsenic
Benzene
Benzo(a)anthraeene
Benzo(b)fluoranthene
Benzo(k)fluoranthene
Bromodichloromethane
Cadmium
Carbon dlsufflde
Chlorobenzene
Chromium
Chrysene
Copper
Dibromochloromethane
Diehtorobenzene, 1 .2-
Dlchlorobenzene, 1,4-
Dicnloroetnene, 1,1-
Dichloropropane, 1,2-
Dimethylphenol, 2,4-
Dinttrotoluene, 2,4-
Ethane, 1,1,2-trichloro-1,2,2-
Fluorantherte
Fluorene
Hexachlorobenzene
Hexachtorobutadlene
Hexachloroethane
Lead
Mercury
Methoxychlor
Nickel
Phenanthrene
Pyrene
Silver
Tetrachloroethane, 1 ,1 ,2,2-
Tetrachloroethene
Tetrachloromethane
Toxaphene
Trichtoroethane, 1,1,1-
Trichtoroethane, 1,1,2-
Trichloroethene
Trichloromethane
Zinc
Iron S Steel
Anthracene
Antimony
Arsenic
Benzene
Benzo(a)pyrene
BHC, alpha-
Cadmium
Chromium
Copper
Dibromochloromethane
Facilities
7
9
10
14
20
6
5
6
1
19
5
14
44
6
54
1
12
10
11
12
7
5
1
7
7
10
11
9
42
39
1
49
7
6
12
3
17
21
1
15
13
17
27
48
2
5
8
23
13
1
19
86
60
1
HAZREL Score
2.2E+00
1.2E+03
5.1E+02
6.6E+00
2.2E+00
6.2E+01
3.2E+00
8.2E+01
1.3E+00
3.2E+02
1.7E+00
4.1E+00
6.1E+02
2.6E+00
1.2E-KJ3
2.5E+01
1.6E+00
1.4E+02
1.1E+03
7.9E+02
5.6E+00
1.2E+02
2.8E+00
4.9E+00
2.1E+00
6.9E+04
1.4E+01
4.0E+00
3.0E+02
9.5E+02
3.1E+01
2.2E+03
6.8E+00
2.4E+02
5.0E+02
5.6E+O2
1.1E+01
2.9E+03
9.2E+02
2.8E+00
9.6E+02
1.9E+02
3.2E+02
1.8E+03
8.6E*00
5.5E+02
1.6E+01
3.0E+04
8.6E+Q2
4.2E+02
6.8E+01
4.5E+02
1.0E+02
9.2E+00
Raw Load (KGY)
47.42
80.39
2,568.45
112.20
247.48
42.63
41.80
40.18
16.79
576.45
851.74
3,022.88
17,773.72
40.18
90,407.13
16.79
909.88
894.59
521.24
242.32
41.03
6.97
435.45
40.20
51.01
127.38
905.64
42.73
6,527.67
248.20
0.22
21,690.21
46.95
40.18
219.22
250.39
3,628.79
1,866.92
0.14
484.50
310.09
1,645.68
19,479.65
96,330.92
0.59
2,761.26
272.91
3,411,216.69
53,581.30
1,39
123.14
13,123.57
8,131.67
6.08
Paged-3
-------
Table C1 (continued)
Industrial Category/ Chemical Nairn
Hexachtorobenzene
Lead
Mercury
Naphthalene
Nickel
Quinolina
Silver
Trichloroethane, 1,1,1-
Trichlorom ethane
Zinc
Leather Goods (other)
Lead
Trichloroethane, 1,1,1 -
Leather Tanning
Chromium
Metal Finishing
Antimony
Arsenic
Cadmium
Chromium
Copper
Dichiorodifluofomethane
Diehtoroethene, 1,1-
Dlchlof opfopane, 1 ,2-
Lead
Mercury
Nickel
Silver
Tetrachloroethene
Tetrachloromethane
Trtchlorobenzene, 1 ,2,4-
Trichloroethane, 1,1,1-
Trichloroethane, 1,1,2-
TricNoroethene
Trichloromethane
Xylenes
Zinc
Metal Products and Machinery
Antimony
Arsenic
Cadmium
Chromium
Copper
Diethyl phthalate
Ethane, 1 ,1 ,2-trichloro-1 ,2,2-
Lead
Mercury
Naphthalene
Nickel
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Facilities
1
106
5
33
70
1
10
8
5
92
2
1
19
3
7
62
142
245
4
3
1
92
9
198
40
20
3
1
48
2
36
10
17
94
6
8
40
334
435
5
20
140
8
3
343
1
1
1
1
1
1
1
HAZREL Score
1.1E+01
7.3E+Q2
1.8E+Q2
3.0E+02
9.0E+Q2
8.8E+Q1
1.2E+02
6.6E+00
1.1E+00
2.0E+03
1.5E+00
5.9E+00
9.0E+01
2.2E+01
2.3E+01
4.0E+02
6.7E-K32
1.9E+02
4.8E+00
2.3E-H30
5.8E+03
1.7E+02
4.7E-1-01
5.2E+03
9.0E+03
1.5E+00
9.9E+00
1.1E+00
5.7E+00
7.5E+00
1.1E+02
2.7E+00
5.1E+01
8.6E+02
7.5E+01
2.1E*02
3.0E+03
1.4E+04
4.2E+02
4.4E*01
1.9E+00
2.6E+02
1.6E*03
3.4E+00
7.6E*04
2.1E+03
2.1E+03
2.1E*03
2.1E+03
2.1E+03
2.1E*03
2.1E*03
Raw Load (KG Y)
0.02
16,005.79
45.93
521,723.81
9,027.71
2.84
52.42
1,119.37
69.30
107,023.36
31.98
997.91
2,617.18
108.68
398.70
725.50
19,449.92
14,941.46
9,859.47
1.03
1,771.43
3,769.01
12.24
51,861.39
3,947.69
498.53
6.47
212.24
976.25
2.42
934.95
166.01
240,779.04
46,490.63
374.19
3,628.81
5,471.96
406,191.09
32,482.61
27,868.36
303.34
5,663.08
428.86
5,897.33
763,357.91
0.42
0.42
0.42
0.42
0.42
0.42
0.42
Paged-4
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Silver
Tetrachloroeinene
Toluene
Trfchtoroethane, 1,1,1 -
Trichloroetnene
Trinitrotoluene
Xytene*
Zinc
Miscellaneous Chemicals
Acenaphthene
Anthracene
Antimony
Arsenic
Benzo(i)antrtracene
Bertzo(k}fluoranthene
Benzyl chloride
Cadmium
Chromium
Copper
Dichtorobenzene, 1,4-
Dichloroethene, 1,1-
Dtchtor opf opane, 1 ,2-
Dimethylphenot, 2,4-
Dinttrotoluene, 2.4-
Fluoranthene
Hexachlorobenzene
Hexachtoroethane
Lead
Mercury
Nickel
Pyrene
Silver
Tetrachloroethane, 1,1,2,2-
Tetrachloroethene
Tetrachlorornethane
Toluene
Trichtorobenzene, 1,2,4-
Trichtoroethane, 1,1,1 -
Trtehloroethane, 1,1,2-
Trichloroethene
Trichloromethane
Xyfenes
Zinc
Nonferrous Metal Forming
Cadmium
Chromium
Copper
Dimethylphenol, 2,4-
Lead
Nickel
Silver
Zinc
Nonferrous Metals
Anthracene
Antimony
Arsenic
Facilities
42
28
67
120
57
3
67
90
3
4
2
4
3
3
1
4
13
15
4
5
5
4
4
4
3
4
8
5
11
3
1
1
11
5
25
8
16
4
5
7
16
16
3
10
78
1
17
15
5
4
2
20
20
HAZREL Score
4.0E+02
1.4E+00
3.1E+00
4.5E+01
1.0E+03
1.8E+00
2.1E+OO
1.2E+03
3.0E+00
5.1E+02
3.3E+01
2.9E+01
9.4E+00
1.3E+01
5.2E*00
1.7E+01
9.9E+00
1.2E+02
1.0E*01
1.0E+02
5.4E+02
8.7E+00
1.1E+03
7.7E+00
3.5E+03
5.9E-KX3
1.8E+01
1.5E+01
2.6E+02
3.9E*01
6.4E*01
1.3E*00
2.7E+01
1.1E+02
1.0E+00
1.6E+01
3.9E-KW
1.1E+02
5.5E*00
4.9E+00
1.4E+00
4.4E+02
6.4E+00
1.1E-KX)
2.3E*01
3.9E+00
1.1E*01
2.7E+01
4.2E*01
2.0E+00
1.7E-KH
1.0E+02
8.1E+00
Raw Load (KOY)
177.44
457.53
6,494.01
7,658.22
9,047.38
17.68
10,080.18
63,245.52
63,59
34.85
166.05
491.72
6.50
6,50
5,10
30.61
288.52
9,476,36
61.97
46.44
164.83
63.64
63.64
63.64
6,50
63.64
392.35
3.99
2,606.01
6.50
28.35
0.57
8,569.76
73.97
2.102.70
3,323.87
663.04
36.01
48.71
300.69
6,454.35
23,858.91
11.44
30.51
1,764.47
28.35
238.15
267.69
18.28
109.29
113.51
516.19
138.02
Paged-5
-------
Tabled (continued)
Industrial Category/ Chemical Nam*
Cadmium
Chromium
Copper
Ethytene dibromide
Fluoranthene
Lead
Mercury
Nickel
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Silver
Zinc
Not Classified
Acenaphthene
AWrin
Anthracene
Antimony
Arsenic
Benzene
Benzo(a)antriracene
Benzo(a)pyrene
Benzo(b}nuoranthene
Benzo(k)fluoranthene
BHC, alpha-
BHC, gamma- \ Undane
Cadmium
Chlordane
Chromium
Chrysene
Copper
ODD
DDE
DDT
Di-n-butyl phthalate
Oichkxobenzene, 1 ,4-
Dichiorobenzidine, 3,3'-
Dtehloroethene, 1,1-
Dichloropropane, 1 ,2-
Dimethylphenol, 2,4-
Dinitrotoluene, 2,4-
Endosulfan sulfate
Endrin
Fluoranthene
Fluorene
Heptachlor
Hexachlorobenzene
Hexachlorobutadiene
Hexachloroetrnne
Lead
Mercury
Mirex \ Dechlorane
Facilities
11
23
59
1
3
39
4
40
1
1
1
1
1
1
1
10
35
6
2
6
13
88
12
5
5
5
5
1
2
83
5
93
5
267
1
2
e
6
5
3
7
5
5
3
1
6
7
5
2
6
5
i
130
55
1
HAZREL Score
1.3E+02
2.0E-K31
4.8E+01
1.9E+02
3.4E+00
4JE+01
1.1E+01
2,6E*02
7.6E+00
7.6E+00
7JE+00
7.6E+00
7.6E+00
7.6E+00
7.6E+00
2.1E+02
1.7E+02
7.2E+00
1.4E+01
2.4E+03
8.9E+02
4.0E+04
2.1E+00
2.2E*02
2.5E+00
1.2E+01
3.1E+02
5.1E+00
3.8E+00
8.0E+03
6.7E*04
9.0E-KJ3
9.9E+00
5.6E+03
Z1E+01
4.8E+00
1.6E+04
1.4E+00
2.6E+01
4.0E*03
1.7E*02
2.5E*02
3.2E+01
2.7E*03
3.5E-KX)
4.3E+01
2.4E*01
6.3E+00
7.4E+00
8.3E+O4
2.4E+00
1.4E*01
2.7E-KB
4.9E+03
1.9E+00
Raw Load (KOY)
241,36
581.23
3,763.18
0.32
28.06
1,044.17
2.88
2,602.43
0.00
0.00
0.00
0.00
0.00
0.00
0.00
90.77
9,026.03
153.34
0.02
163.23
4,464.18
684,242.95
238.58
153.33
153.32
153.32
153.32
0.02
0.02
14,342.24
48.74
259,673.90
153,41
437,219.58
0.02
0.02
31.88
1,498.20
161.78
28.18
77.54
76.97
232.76
153.25
0.02
48.61
200.73
153.41
0.02
153.54
155.14
155.44
59,687.68
1,277.81
0.00
Pag«C1-l
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Nickel
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Pentachkxophenol
Phenanthrena
Pyrene
Silver
Tetracfctorodlbenzo-p-dtoxin, 2,3,7,8-
Tetrachkxomethan*
Toluene
Toxaphene
Trichloroethane, 1,1,1-
Trichloroethane, 1,1,2-
Trichtoroethene
Trtchloromethane
Trinitrotoluene
Zinc
Oil and Gas
Anthracene
Benzene
Benzo{a)anthracane
Benzo(k)fluoranthene
Fluoranthene
lndeno(1 ,2,3-cd)pyrene
Pentacnlorophenol
Phenanttirene
Phorate \ Famophos \ Thbnet
Pyrene
Terbufot \ Counter
Zinc
Organic Chemicals (QCPSF)
Acenaphthene
Aldrin
Anthracene
Antimony
Arsenic
Benzene
Benzo(a)anthracene
Benzo(a)pyrene
Benzo(fa)fluoranthene
Benzo(k)fluoranthene
Benzyl chloride
BHC.alpha-
BHC, gamma- \ Undane
Biphenyt
Bromodichloromethane
Cadmium
Carbon disuffide
Chtordane
Chtorobenzene
Chtorpyrifos \ Dursban
Facilttie*
103
2
2
2
2
2
2
2
8
5
5
48
1
6
19
5
16
7
16
17
1
187
4
9
4
4
5
4
1
5
1
5
1
3
77
1
77
17
21
173
75
72
74
74
6
1
2
19
5
28
12
2
112
1
HAZRELScor*
9.1E+03
8.8E+01
1.3E+02
8.8E+01
8.8E+01
8.8E+01
8.8E+01
8,8E*01
1.5E+03
2.2E+01
9.1E+02
2.3E+05
2.1E+02
1.2E+02
1.1E+00
3.2E+05
2.2E+01
2.4E+02
1.5E+Q2
1.1E+01
1.1E*00
9.4E+03
1.3E+02
7.0E+00
1.3E+01
1.9E+01
1.8E+00
3.1E+00
2.8E+01
2.4E+00
1.0E*01
8.0E+01
2.4E+00
1.2E+00
2.5E+01
5.3E*02
9.3E*03
1.3E*03
3.7E+01
2.2E*01
8.0E*02
8.5E*00
4.2E+01
1.1E+03
1.4E+03
1.9E+02
2.3E*03
5.9E+00
1.0E+00
1.6E*02
2.2E+01
1.5E+04
1.1E*01
3.0E+00
Raw Load (KGY)
91,192.89
0.02
0.02
0.02
0.02
0.02
0,02
0.02
811.13
153.28
153.27
99,997.49
0.00
77.52
2,210.51
49.39
3,817.46
77.49
1,318.49
677.98
10.38
505,239.51
8.61
803.11
8.93
9.16
15.19
8.61
14.93
16.79
2.22
13.44
2.22
67.42
527.03
0.64
639.32
6,389.35
634.31
2.503.74
551.45
527.90
541.33
537.01
1,341.51
0.64
10.32
33,488.05
13.57
284.30
11,332.06
10.84
8,346.89
0.56
Paged-7
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Chromium
Cnrysene
Copper
Cyctohexane
ODD
ODE
DDT
Dlazlnon \ Spectraclde
Dibromochloromethane
Dichlorotoenzene, 1 ,2-
Diehlorobenzene, 1,4-
Dichlorobenzidine, 3,3-
Dichlorodifluoromethane
Dichtoroethene, 1,1-
Dichloropropane, 1,2-
Dimethylphenol, 2,4-
Dinttrotoluene, 2,4-
Endosutfan sutfate
Ethane, 1,1.2-trichloro-1,2l2-
Ethytene dibromlde
Fluoranthene
Fluorene
Heptachtor
Hexachlorobenzene
Hexachlorobutadiene
Hexaehtorocyeloperrtadlene
Hexachloroethane
lndeno(1 ,2,3-cd)pyrene
Lead
Mercury
Mirex \ Dechlorane
Nickel
OxydianiUne, 4,4'-
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Pentachlorophenol
Phenanthrene
Pyrene
Quinolirte
Silver
Styrene
Tetrachlorodibenzo-p-dioxin, 2,3,7,8-
Tetrachloroethane, 1,1,2,2-
Tetrachloroethene
Tetrachlorometnane
Toluene
Toxaphene
Tribfomo methane
Trlchlorobenzene, 1 ,2,4-
Trichioroethane, 1.1.1-
Trichtoroethane, 1,1,2-
Facilttiec
109
73
127
15
1
1
1
1
5
95
88
6
8
88
90
75
71
1
8
2
74
76
2
84
81
3
81
1
73
36
1
100
2
1
3
75
75
3
19
85
1
6
106
105
240
2
6
91
107
92
HAZREL Score
2.4E+02
3.2E+01
1.3E+03
1.5E+01
8.2E+02
1.8E+02
3.2E+02
7JE+02
2.2E-KJ1
2.5E+00
1.4E+02
5.6E+03
7.4E+00
8.88*02
8.9E+03
7.9E-M31
9.4E*03
1.4E+02
2.1E*00
2.2E*03
6.0E*01
2.1E*01
3.8E+03
4.6E+OS
2.7E+01
1.0E+00
6.5E+01
1.1E*00
1.5E+02
1.5E+02
S,5E*02
2.0E+03
5,OE*00
1.6E+03
1.6E+03
1.6E+03
1.6E+03
1.6E+03
1.6E+03
1.6E+03
3.8E+01
7,3E*01
2.9E+03
9.3E+02
4.0E+02
1.0E+00
1.4E+03
6.1E+03
6.7E+00
1.1E*03
1.5E+01
3.4E*04
1.1E*02
1.5E+01
1.9E+01
2.1E+03
Raw Load (KGY)
6,978.40
490.85
101,522.07
7.062.39
0,64
0.64
0.64
1.84
14.40
1,465.89
897.31
39.03
15,191.49
403.22
2.716.44
578.08
526.63
0.64
335.14
3.62
494.44
500.69
8.91
846.57
1,745.81
76.94
696.35
3.18
3,319.39
38.81
0.21
19,532.02
142.09
0.32
0.32
0.32
0.32
0.32
0.32
0.32
20.14
500.21
484.37
30.05
175.55
14.978.95
0.00
2,768.28
2,163.25
734.37
30,958.33
5.14
5,262.72
3,039.64
3,221.62
670.33
Paged-8
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Trichloroeihene
Tnchlorafluoromethane
Trichloromethane
Trimethylbenzane, 1,2,4-
Xytene, o-
Xytenes
Zinc
Paint Formulating
Dirnethylphenol, 2,4-
Mercury
Silver
Toluene
TricWoromethane
Zinc
Pesticides
Alachlor/ Lasso
Anthracene
Antimony
Areenic
Benzo(k}fluoranthene
BHC, gamma- \ Undane
Carbaiyl \ Sevin
Chromium
Copper
Dichloroethene, 1,1-
Dichloropropane, 1 ,2-
DinHrotoluene, 2,4-
Fonofos
Hexachlorobenzene
Hexachloroethane
Mercury
MethoxychJor
Nickel
Parath ion ethyl
Pentachlorophenol
Pyrene
Tetraehtoromethane
Trie hloroethane, 1,1,2-
Trichloroethene
Trichloromethane
Trifluralin \ Treflan
Zinc
Petroleum Refining
Anthracene
Arsenic
Benzene
Benzo(a)anthracene
Cadmium
Chromium
Copper
Cyctohexane
Oichlorobenzene, 1 ,2-
DtehJorobenzen*, 1 ,4-
Dtehtoroethene, 1,1-
Dichloropropane, 1 ,2-
Oimethylphenol, 2,4-
Faciltties
103
11
130
16
14
90
138
1
3
1
45
2
7
1
2
1
5
2
1
3
7
8
3
3
2
1
3
3
1
1
4
1
1
2
6
3
5
S
5
7
6
12
123
1
10
114
25
62
2
1
2
1
2
HAZREL Score
9.2E+01
6.7E+00
1 .5E+02
3.4E+00
1.4E+00
5.2E+00
2.5E+03
3.9E+00
1.8E+01
3.7E+03
2.0E-HX3
4.0E+01
3.0E+01
1.8E+00
7.9E+00
2.8E+01
5.0E*00
1.1E*00
1.2E+02
3.5E+03
1.2E+01
8.5E*00
3.0E*01
4.5E*01
9JE+00
3.7E+01
1.5E+03
2.6E+00
2.0E*00
3.2E+02
3.0E+01
4.4E+01
7.9E*01
3.2E+00
2.SE+01
4.2E+01
1.6E+00
S.6E+00
5.3E*01
1.4E-K51
2.1E+03
8.9E-K31
2.4E+02
2.0E+00
4.1E+02
4.1E+02
8.1E+01
7.6E+00
1.8E+00
1.7E+02
1.5E+02
3.1 Ł+02
7.6E*01
Raw Load (KGY)
815.94
4,247.14
9,372.98
6,589.97
3,182.89
24,786.56
135,024.69
28.35
4.61
1,613.12
4,287.51
2,439.55
1,637,07
499.46
0.54
142.45
84.46
0.54
0.57
6.80
353.52
663.92
13.73
13.73
0.54
25.64
2.74
27.70
0.52
2.27
303.08
2.27
42.07
0.54
16.50
13.73
14.22
341.24
132.90
745.28
141.18
1.513.31
27,918.38
1.35
732.63
12.003.13
6,327.72
3,656.00
1,051.60
1,039.35
68.95
95.60
558.26
Paged-t
-------
Table C1 (contlmwd)
Industrial Category/ Chemical Name
Dinitratoluene, 2,4-
Ethytene dibfomide
Hexschlorobenzene
Lead
Mercury
Naphthalene
Nickel
Pefitachlorophenol
Phenanthrene
Silvar
TetracWorcdibenzo-p-dioxlri, 2,3,7,8-
Tetrachloroethane, 1,1,2,2-
Tetrachtoromethane
Toluene
Trichtoroethane. 1,1.1 -
Trtchtoroethane, 1,1,2-
Trichlorornethane
Trimethylbenzene, 1,2,4-
Xylene, o-
Xytene, p-
Xytenes
Zinc
Pharmaceuticals
AWrin
Anthracene
Antimony
Arsenic
Benzene
Benzo(a)anthracene
Benzo(k}fluoranthene
BHC, alpha-
BHC, gamma- \ Undane
Bromodlchloromethane
Cadmium
Chlordane
Chtorobenzene
Chromium
Copper
ODD
DDE
DDT
Dichlorobenzene, 1,2-
Dichlorobenzldine. 3.31-
DicNoroethene, 1,1-
Dichloropropane, 1,2-
Diethyl phthatate
Dlnttrotoluene, 2,4-
Erxlosulfan sulfate
Heptachlor
HexacWorobenzene
Lead
Mercury
Nickel
PCB-1016
PCB-1221
PCB-1232
Facimies
1
2
2
20
13
46
14
1
1
12
1
1
7
117
14
2
7
52
9
11
97
30
1
1
1
3
6
1
1
1
1
2
5
1
3
5
8
1
1
1
3
1
1
1
2
1
1
1
1
4
6
5
1
1
1
HAZREL Score
3.9E+02
2.8E+04
7.9E+03
8.6E*01
1.5E+03
2.4E+00
2.2E+02
2.3E-K31
8.9E+00
2.7E*02
2.7E+03
6.0E+00
7.4E+02
2.2E*01
1.6E+00
2.2E+02
2.8E+00
1.6E*00
1,5E*00
3,8E*00
4.4E+00
5.1E+02
5.4E+02
1.9E*01
4.9E*00
1.1E+00
1.8E+02
1.9E+00
2.6E*00
2.0E+02
1.4E-H32
5.1E+00
1.1E+01
9.0E-KJ2
1.9E-KXJ
2.3E-KW
1.5E+00
8,4E*02
1.8E+02
3.3E+02
5.1E+00
3.7E+02
1.4E*00
4.0E+00
2,2E*00
2.3E-KJ1
1.4E+02
2.8E+02
7.0E+02
1.8E*00
2.8E+00
4.3E+0!
3.4E+03
3.4E*03
3.4E*03
RawLo«l(KOY)
21,77
4S.81
14,54
1,900.88
399.56
4,084.08
2.232.13
12.59
61.35
117.39
0.00
2.72
483.99
46,626.95
278.51
71.67
170.84
3,182.89
3,460.83
8,773.25
20,931.88
27,795.58
0.65
1.30
24.57
19.32
20,983.54
1.30
1.30
0.65
0.65
66.32
19.94
0.6S
1,408.73
67.61
116.06
0.65
0.65
0.65
3,020.10
2.61
0.65
1.23
1,423.67
1.30
0.65
0.65
1.30
39.25
0.74
432.45
0.65
0.65
0.65
Page C1 -10
-------
Table C1 (continued)
Industrial Category/ Chemical Nam*
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Pentachtarophenol
Phenanthrene
Pyrene
Qulnoline
Silver
Tetrachtoroethane, 1,1,2,2-
Tetrachlorornethane
Toluene
Toxaphene
Trtehtoroethane, 1,1,2-
Trichloroetrwne
Trichloromethane
Xylenes
Zinc
Phonographic Equipment
Dl-n-butyt phthaJato
DteWoroethene, 1,1-
Dtehtaropropane, 1 ,2-
Ntetel
Silver
Triehtoroethane, 1,1,2-
TrieNoroethene
Zinc
Plastics Molding & Fofmina
Antimony
Arsenic
Carbon dsulflde
Copper
Diethyl phthalate
Lead
Mercury
Porcelain Enameling
Nickel
Zinc
POTVys
Acenaphthene
AWrin
Anthracene
Antimony
Arsenic
Benzene
Benzo(a)anthracene
Benzo(b)fluoranthene
Benzo(k}fluoranthene
BHC.alpha-
BHC.detta-
BHC, gamma- \ Undane
BHC, technical grade
Bfomodichkxomethane
Cadmium
CMordarw
Chromium
Facilities
2
1
1
4
1
2
48
1
1
2
20
11
20
1
1
1
1
1
1
3
1
2
1
4
3
4
4
1
9
6
3
6
2
123
270
20
5
3
4
11
4
21
6
21
618
20
557
HAZREL Score
3.4E*03
3.4E+03
3.4E+03
3.4E+03
1.2E+01
3.0E+00
7.7E+00
7.0E+01
4.4E*01
1.4E+00
2.9E+00
2.8E*01
4.3E*03
2.0E*00
3.3E*00
4.0E+02
1.9E+00
3.1E+01
2.4E+00
1.3E+01
6.7E+03
1,2E*00
3.2E+01
3.2E+02
5.0E-KX)
1.1E+00
5.8E+00
4.0E*00
5.9E+01
2.0E+00
3JE*01
68E+00
2.5E+00
1.3E*01
3.4E+00
1.4E+00
4.8E-KM
1.6E+02
2.0E+04
2.0E+04
B.6E+00
4.7E+02
2.1E+00
2.5E*02
9.1E+03
3.6E*00
1.4E+04
2.4E*02
9.3E+01
4.4E+04
7.2E+04
7.7E+03
Raw Load (KGY)
0.65
0.65
0.65
0.66
6.52
20.42
1.30
2.27
19.54
0.6S
1.90
57,839.80
0.65
0.65
29.00
24,566.84
9,015.57
1,682.31
2,585.50
5.90
2,041.19
12.47
13.89
104.33
44.57
60.49
28.92
67.75
30,506.21
152.80
23,933.13
148.59
0.65
132.25
181.06
29.76
57.94
10.71
98,417.99
333,753.95
977.77
322.68
27.02
121.35
29.82
3.96
64.56
2.20
1,199.37
79,295.45
51.94
222,816.58
Paged-11
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Copper
ODD
ODE
DDT
Di-n-butyt phthalate
Dibfomochtofomethane
Dfchtorobenzene, 1 ,4-
Dichlorobenzidine, 3,3*-
Dfchtoroethene, 1,1-
Dlchloropropane, 1,2-
Dirnethylphenol, 2,4-
Dlnitroteluene, 2,4-
Endosulfart rnbwd Isomeft
Endosulfan BUlfate
Endrin
Fluoranthene
Fluorene
Heptachtor
Hexachtorobenzene
Hexachtoroethane
lndeno(1 ,2,3-cd)pyrene
Lead
Mercury
Methoxychlw
Mirex \ Dechlorane
Nickel
Nttrosodipnenylamine, N-
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-12S4
PCB-1260
Pentachtofophenol
Phertanthrene
Pyrene
Sttver
Tetrachlorobenzene, 1,2,4,5-
Tetrachtofodibenzo-p-dioxin, 2,3,7,8-
Tetrachlorodibenzofuran, 2,3,7,8-
Tetrachloroethane, 1 ,1 ,2,2-
Tetrachtoroetnene
Tetrachlofomethane
Toluene
Toxaphene
Tribromomethane
TricWoroethane, 1.1.1 -
Trichloroethane, 1,1,2-
Trichloroethene
Trichlorofluoromettone
Trlchloromethane
Zinc
Prjnflna $ Pgblishinfl
Cadmium
Chromium
Facilities
864
3
2
20
15
14
8
7
8
3
5
2
8
3
25
8
4
13
12
2
3
711
S19
4
1
577
3
2
2
2
2
2
2
3
17
9
10
430
5
3
1
6
43
6
49
23
8
32
2
28
3
103
842
2
18
HAZREL Score
6.8E+03
7,2E*03
1.9E+01
6.5E+03
5.9E+00
8.0E+02
1.7E*01
1.7E-KS
1.6E+03
7.6E+01
3.2E*00
1.9E*02
6.6E+01
1.7E+02
3.5E+01
4.0E+00
2.5E+01
1.7E+04
3.0E+04
1.3E+00
6.3E+00
1.2E*04
1.4E+05
8.5E*03
6.4E+02
5.1E+04
3.1E-K30
2.6E+03
2.6E+03
26E*03
2.6E*03
2.6E+03
2.6E*03
1.5E+05
9.4E+02
3.3E+02
1.1E*04
2.0E+05
1.8E+QO
2.7E+05
1,4E*02
3.1E+02
3.0E-KJ1
8.9E+02
2.3E+00
1.7E+06
2.8E+00
8.6E-K30
9.0E+00
1.9E+02
1.3E+00
7.2E+02
3.3E+04
6.5E+01
8,2E*01
Raw Load (KOY)
527,264.26
5.60
0.07
12.72
6,263.99
526.06
108.33
1,220.20
730.45
23.32
23.28
10.71
8.62
0.81
39.18
32.69
597.25
40.48
55.43
14.39
17.80
266,305.15
35,833.78
60.84
0.24
509,086.93
24.32
0.50
0.50
0.50
0.50
0.50
0.50
28.71
505.98
2,261.53
1,851.89
89,599.73
37.05
0.01
0.00
141.01
9,600.11
580.17
4,921.93
253.59
130.02
1,131.96
2.92
1,695.87
809.71
43,783.51
1,807,107.57
116.92
2,375.83
Page C1 -12
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Copper
Lead
Nickel
Silver
Zinc
Pulp&Papjer
Arsenic
BHC, alpha-
BHC, gamma- \ LJndane
BHC. technical grade
Cadmium
Chlordane
Chromium
Copper
DDT
Dibromochloromethane
Dichtofobenzidine, 3,3*-
Dfchloroetnene, 1,1-
Dtchtoropropane, 1 ,2-
Heptachtor
Hexachtorobenzene
Lead
Mercury
Naphthalene
Nickel
PCB-1242
Perrtachlorophenol
Silver
Tetrachlorodibenzo-p-dioxin, 2,3,7,8-
Tetrachlorodibenzofuran, 2,3,7,8-
Toxaphene
Trichloromeihane
Zinc
Rubber Products
Lead
Toluene
Zinc
Soaps & Detergents
Benzyl chloride
Cadmium
Chromium
Copper
Hexachlorobenzene
Lead
Nickel
Quinoline
Silver
THchtorobenzene, 1,2,4-
Trichtoroethane, 1,1,1 -
Zinc
Stone. Clay. Glass. & Concrete
Anthracene
Antimony
Benzene
Chromium
Lead
Facilities
43
9
20
2
8
6
2
2
2
12
2
16
48
2
1
2
2
1
2
2
20
11
4
8
3
4
6
16
6
2
119
61
5
14
6
6
3
8
27
1
9
11
1
3
7
30
12
2
2
2
8
13
HAZREL Score
1.3E+01
1,2E*01
4.3E+01
5.1E+01
1.1E+01
4.1E+00
1.4E+00
Z1E+00
2.7E+00
2,2E*02
3.1E+01
1.4E+02
3.1E+Q3
8.5E+00
1.7E+00
3.7E*02
3,3E*01
3.8E+00
1.4E+00
1.5E+01
4.7E+01
6.3E+01
2.3E*00
6.7E+01
5.8E+03
2.7E+03
7.0E*03
1.1E*05
7.0E+02
7.9E*02
5.6E+03
3.8E*04
1.4E+00
2.5E*00
1.0E+01
1.7E*02
1.3E+00
2.5E-KX)
7.9E+00
4.5E-KX)
4.9E+00
1.2E+01
8.8E+02
1.0E+01
1.9E+00
4.0E+00
1.5E+01
1.7E+03
2,4E*00
5.7E+00
1.2E+00
2.2E+01
Raw Load (KGY)
1,015,08
267.38
431.89
22.65
607.73
69.90
0.00
0.01
0.02
392.51
0.02
4,133.13
245,397.78
O.O2
1.10
2.63
15.21
1.15
0.00
0.03
1,030.91
16.45
4,019.58
669.66
1.12
1,444.82
3.076.88
0.00
0.00
0.12
344,676.00
2,077,897.73
31.03
5,288.12
558.47
171.91
2.30
73.25
613.74
0.01
108.44
120.23
28.35
4.38
392.31
668.82
789.63
115.67
12.20
645.58
33.47
492.05
Page C1 -13
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Nickel
Silver
Zinc
Textiles
Antimony
Arsenic
Benzyl chloride
Biphenyl
Cadmium
Chromium
Copper
Ethane, 1 , 1 ,2-trichloro-1 ,2,2-
Mercury
Naphthalene
Nickel
Silver
TetracWoroethene
Trichtorobenzene, 1,2,4-
Trichloroethene
Trimethylbenzene, 1,2,4-
Xytenes
Zinc
Timber
Arsenic
Chromium
Copper
Pentachtorophenol
Tobacco Products
Zinc
Warehousing And Storage
Aldrin
Anthracene
Benzo(a)anthracene
Benzo(k)fluorantriene
BHC.alpha-
BHC.delta-
BHC, gamma- \ Undane
Chtordane
ODD
DDE
DDT
Dibromochloromethane
Dtehlorobenzkiine, 3,3*-
Dtehtoroethene, 1,1-
Dichloroproparte, 1,2-
Dinttrotoluene, 2,4-
Endosulfan sulfate
Heptachtor
Hexachlorobenzane
PCB-1016
PCB-1221
PCB-1232
PCB-1242
PCB-1248
PCB-1254
PCB-1260
Facilities
5
3
6
2
4
1
24
2
49
17
1
1
2
1
3
5
11
3
8
13
18
9
8
8
26
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
HAZREL Score
9.1E+00
3.1E+01
1.4E+00
8.2E+00
3.0E*00
1.4E*03
1.4E+01
4.8E+01
7.7E+01
.5E+02
.5E*01
.3E*01
.7E+00
.5E+00
5.9E+01
7.5E+00
7.5E+01
1.3E+01
4.4E+00
5.4E+00
2.0E-K33
2.4E*01
1.7E*01
5.3E+00
2.8E*03
1.9E+00
5.4E*02
1.1E+01
1.1E+00
1.6E+00
3.5E+02
1.0E+00
2.6E+02
4.5E+03
8.5E*02
1.8E+02
3.4E*02
1.2E+00
2.2E+02
1.7E+00
2.SE+00
1.4E+01
1.4E+02
2.8E*02
4.1E*02
9.1E*03
9.1E+03
9.1E+03
9.1E+03
9.1E+03
9.1E+03
9.1E*03
Raw Load (KGY)
91.22
13.53
78.13
40.90
51.73
1,360.79
78,978.27
86.99
2,240.19
11,392.22
2,349.63
3.48
2,907.56
14.86
25.83
2,427.76
15,156.04
114.53
8,678.22
25,557.81
106,076.44
407.94
495.00
414.37
1,492.71
103.36
0.66
0.76
0.76
0.76
1.16
1.16
1.16
3.29
0.66
0.66
0.66
0.76
1.53
0.76
0.76
0.76
0.66
0.66
0.76
.77
.77
.77
.77
.77
.77
.77
Page C1 -14
-------
Table C1 (continued)
Industrial Category/ Chemical Name
Pentachlorophenol
Pyrene
TetrachkKoettiane, 1,1,2,2-
Tetrachloromethan*
Toxaphene
Trichtoroethane, 1,1,2-
Facilities
1
1
1
1
1
1
KAZREL Score
7.1E+00
4.5E*00
1.7E+00
1.8E+00
2,2E*04
3.6E+00
Raw Load (KOY)
3,82
0.78
0.76
1.16
3.29
1.16
PageCI-lf
-------
Table C2. HAZREL Scores by Industrial Category and by EPA Region
(where HAZREL Is greater than
EPA Region Industrial Category
01
Metal Products and Machinery
POTWs
Organic Chemicals (OCPSF)
Pulp & Paper
Oil and Gas
Pharmaceuticals
Not Classified
Metal Finishing
Nonferrous Metal Forming
Soaps & Detergents
Stone, Clay, Glass, & Concrete
Inorganic Chemicals
Textiles
Nonferrous Metals
Electrical
Copper Forming
Iron & Steel
Leather Goods (other)
Foundries
Miscellaneous Chemicals
Coil Coating
Furniture & Fixtures
Paint Formulating
Battery Manufacturing
Adhesive* & Sealants
02
POTWs
Metal Products and Machinery
Metal Finishing
Photographic Equipment
Organic Chemicals (OCPSF)
Not Classified
Paint Formulating
Petroleum Refining
Food & Kindred Products
Asphalt Products
Iron & Steel
Pulp & Paper
Pharmaceuticals
Inorganic Chemical*
Nonferrous Metals
Electrical
Fertilizers
Miscellaneous Chemicals
Soaps & Detergents
Plastics Molding & Forming
Copper Forming
Textiles
Nonferrous Metal Forming
Printing & Publishing
Leather Tanning
Coil Coating
1)
HAZREL Score
8.9E+04
2.7E+04
1.2E+03
2,8E*02
2.6E+02
2.2E+02
1.7E+02
1.7E+02
7.1E+01
3.1E+01
2.9E+01
1.8E+01
1.5E+01
1.4E+01
1.2E+01
9.1E+00
6.4E+00
5.9E+00
4.3E+00
4.0E+00
3.0E+00
2.8E+00
.6E+OQ
JE+00
.3E+00
.2E+Q5
.5E+Q4
1.5E+04
7.0E*OJ
6.0E-K53
4.41+03
3.7E+03
2.3E+03
1.4E*03
1.2E+03
6.6E-KS
6.2E+02
3.8E*02
2.3E+02
1.4E*02
1.4E+02
1.3E-KJ2
6.4E-K)1
6.0E+01
3.8E+01
2.2E+01
2.0E+01
1.5E+01
1.1E*01
1.1E*01
1.1E+01
Raw Load (KGY)
1,138,209.64
110,931.45
48,543.69
14,882.39
4,347.35
27,484.53
4,282.32
1,756.59
481.71
285.75
38.99
29.63
26,369.75
81.00
351.31
238.71
167.91
997.91
138.43
206.12
33.94
28.35
203.11
34.02
20.72
984,481.14
10,613.25
35,576,34
6,003.81
32,669.75
74,658.79
1,871.11
41,060.96
20,242.65
108.04
8,962.19
12,337.47
51,354.94
750.87
3,449.72
1,524.55
2,939.99
52.39
1,293.68
24,407.91
1,023.36
10,045.57
492.83
467.32
337.14
414.79
Page C2 -1
-------
Table C2 (continued)
EPA Region Industrial Category
Battery Manufacturing
Foundries
Stone, Clay, Glass, & Concrete
Rubber Products
Explosives
Pesticides
03
POTWs
Organic Chemicals (OCPSF)
Not Classified
Inorganic Chemicals
Iron & Steel
Textiles
Petroleum Refining
Coil Coating
Metal Finishing
Nonferrous Metals
Explosives
Miscellaneous Chemicals
Pulp & Paper
Metal Products and Machinery
Fertilizers
Printing & Publishing
Gum & Wood Chemicals
Food & Kindred Products
Copper Forming
Coal Mining
Leather Tanning
Pharmaceuticals
Apparel & Other Materials
Foundries
Paint Formulating
Soaps & Detergents
Electrical
Timber
Pesticides
Stone, Clay, Glass, & Concrete
Nonferrous Metal Forming
04
Pulp & Paper
Not Classified
POTWs
Organic Chemicals (OCPSF)
Iron & Steel
Inorganic Chemicals
Metal Finishing
Pesticides
Miscellaneous Chemicals
Textiles
Soaps & Detergents
Petroleum Refining
Timber
Nonferrous Metals
Metal Products and Machinery
Fertilizers
Pharmaceuticals
HAZREL. Score
6.1E+00
5.5E+00
3.1E+00
2.6E+00
2.4E+00
1.9E+00
3.8E+05
3.6E+04
1.2E+04
2.8E+03
1.8E+03
1.7E+03
7.4E+02
6.4E+02
4.7E+02
4.1E+02
4.1E+02
3.6E+02
3.5E+02
3.2E+02
1.3E+02
1.2E-KJ2
1.0E+02
9.2E+01
8.4E+01
5.6E*01
2.2E+01
2.1E+01
2.0E*01
1.8E+01
8.8E+00
6.8E+00
5.8E*00
5JE*00
4.9E-KX)
2.3E+QO
1.1E*00
1.5E*05
5.7E+04
4.4E*04
3.5E+04
3.2E+04
2.8E-KW
5.2E*03
4.2E*03
2.3E+03
2.1E+03
9.7E+02
9.4E+02
7.8E+02
3.8E+02
3.QE+02
2.1E*02
8.3E+01
Raw Load (KG Y)
30.62
183.11
103.88
1,847.96
148.69
21.27
221,099.40
77,045.38
82,046.80
40,943.81
41,001.90
97,576.58
19,693.78
26,556.93
8,190.60
3,064.37
76.14
19,805.16
21,585.76
5,575.43
3,300.47
1,708.24
31.75
3,393.27
2,645.36
563.80
631.70
29,820.91
1,528.93
941.01
895.28
246.19
183.01
161.03
905.83
3.74
56.36
2,398,110.31
1,272,047.38
155,166.25
142,460.00
4,005,481.22
194.859.22
354,945.32
557.42
29,635.54
123,702,68
1,543.66
6,723.03
514.24
5,951.14
29,402.22
7,481.15
11,044.11
PageC2-2
-------
Table C2 (continued)
EPA Region Industrial Category
Plastics Molding & Forming
Food & Kindred Products
Gum & Wood Chemicals
Foundries
ApparelS Other Materials
Porcelain Enameling
Rubber Products
Nonferrous Metal Forming
Printing & Publishing
Leather Tanning
Copper Forming
Explosives
Coll Coating
Electrical
Of
POTWs
Pulp & Paper
Organic Chemicals (OCPSF)
Petroleum Refining
Adhesive* & Sealants
Miscellaneous Chemicals
Iron & Steel
Stone, Clay, Glass, 4 Concrete
Metal Products and Machinery
Not Classified
Metal Finishing
Copper Forming
Foundries
Printing & Publishing
Pesticides
Inorganic Chemicals
Pharmaceuticals
Paint Formulating
Nonferrous Metals
Soaps & Detergents
Leather Tanning
Plastics Molding & Forming
Food & Kindred Products
Fertilizers
Coil Coating
Nonferrous Metal Forming
Porcelain Enameling
Electrical
Furniture & Fixtures
Apparel & Other Materials
Rubber Products
Hospitals
Leather Goods (other)
08
Organic Chemicals (OCPSF)
POTWs
Warehousing And Storage
Not Classified
Inorganic Chemicals
Petroleum Refining
Pharmaceuticals
HAZREL Score
3.8E+01
2.2E+01
2.1E+01
1.8E+01
1.3E+01
1.1E*01
9.4E+00
9.0E+00
7.5E+00
7.0E+00
4.6E+00
2.7E+00
2.0E+00
1.2E+00
4.4E+05
1.5E+04
1.1E+04
4.4E+03
3.8E+03
Z5E*03
2.4E+03
1,7E*03
1.4E+03
1.1E+03
6.0E+02
2.5E+02
1.5E*02
1.4E+02
1.3E+02
1.1E+02
9.4E+01
7.9E+01
7.8E+01
4.0E+01
4.0E+01
3.7E+01
3.5E*01
3.1E*01
1.5E+01
7.4E+00
6.8E+00
5.9E+00
5.9E+00
3.8E+00
2.3E*00
2.0E+00
1.3E*00
5.0E+W
3.3E+05
9.3E*04
9.3E+04
5.6E+04
3.7E*04
3.2E+04
Raw Load (KOY)
19,651.64
480.38
3,132.86
404.63
469.44
201.82
549.42
454.39
523.66
203.10
142.20
82.48
5S.70
51.48
1,363,084.74
23,443.66
65,259.47
11,027.84
2,216.94
4,809.56
82,217.88
1,778.18
49,256.55
30,225.67
16,413.79
6,863.96
4,679.76
3,302.41
508.26
945.47
2,817.25
4,894.98
2,583.10
1,389.14
1,417.34
11,292.64
616.25
853.19
689.72
445.94
258.17
558.27
612.36
137.14
975.80
45.63
28.35
128,572.15
233,994.00
81.36
24,552.19
38,758.37
60,883.12
391.31
P«g«C2-3
-------
Table C2 (continued)
EPA Region Industrial Category
Fertilizers
Miscellaneous Chemicals
Pesticides
Timber
Metal Finishing
Pulp S Paper
Metal Products and Machinery
Nonferrous Metals
Iron & Steel
Explosives
Furniture & Fixtures
Electrical
Foundries
Oil and Gas
Nonferrous Metal Forming
Food & Kindred Products
Stone, Clay, Glass, & Concrete
Soaps & Detergents
Apparel & Other Materials
Paint Formulating
or
POTWs
Metal Products and Machinery
Metal Finishing
Organic Chemicals (OCPSF)
Apparel & Other Materials
Fertilizers
Not Classified
Timber
Stone, Clay, Glass, & Concrete
Food & Kindred Products
Petroleum Refining
OH and Gas
Nonferrous Metals
Foundries
Pesticides
Adhesive* & Sealants
Soaps & Detergents
Paint Formulating
Nonferrous Metal Forming
Furniture & Fixture*
Iron & Steel
Electrical
Rubber Products
Pharmaceuticals
08
Fertilizers
Not Classified
POTWs
Food & Kindred Products
Iron & Steel
Photographic Equipment
Petroleum Refining
Metal Products and Machinery
Metal Finishing
Pulp & Paper
HAZREL Score
4.1E+03
2.0E+03
1.6E+03
1.3E+03
5.2E+02
3.7E+02
2.1E+02
1.5E+02
1.2E+02
9.6E+01
9.0E+01
4.8E+01
3.3E+01
3.0E+01
6.7E+00
4.5E+00
4.3E+00
2.7E+00
2.2E+00
1.2E+00
3.8E+04
5.5E+02
4.5E+02
4.5E+02
2.2E+02
1.7E+02
1.1E+02
5.8E+01
3.5E*01
2,5E*01
2.3E*01
1.3E*01
1.2E+01
1,OE*01
7.BE+00
5.7E*00
4.4E-KX)
4.3E+00
4.3E+00
4.2E+00
2.0E*00
1.6E+00
1.4E+00
1.3E+00
6.9E+03
4.0E-KX3
3.2E*03
5.1E+01
4.0E+01
3.3E*01
2.5E+01
1.1E+01
8.1E+00
5.9E+00
Raw Load (KOY)
14,253.04
16,083.90
2,274.24
1,706.32
7,777.03
22,467.02
3,211.08
1,217.41
4,584.00
56.83
3,907.70
1,088.63
720.93
222.39
447.70
240.14
16,026.72
482.29
8,594.04
2,138.26
259,796.76
22,330.63
4,862.01
1,652.09
4,118.89
1,746.65
4,228.15
31.07
501.68
2,417.23
2,604.64
4.44
435.46
120.54
871.48
114.53
113.29
832.13
146.95
2,834.98
56.27
117.26
2,768.64
1,419.87
72,182.68
49,798.18
39,938.09
1,556.49
2,029.99
109.55
8,546.07
287.29
127.58
362.88
PageC2-4
-------
Table C2 (continued)
EPA Region Industrial Category
Tobacco Products
Timber
Foundries
Electrical
09
POTWs
Not Classified
Metal Products and Machinery
Petroleum Refining
Pulp & Paper
Metal Finishing
Fertilizers
Iron & Steel
Electrical
Organic Chemicals (OCPSF)
Foundries
Furniture & Fixtures
Inorganic Chemicals
Leather Tanning
Nonferrous Metals
Plastics Molding & Forming
Food & Kindred Products
Pesticides
Miscellaneous Chemicals
Copper Forming
Adhesives & Sealants
Battery Manufacturing
10
POTWs
Pulp & Paper
Nonferrous Metals
Fertilizers
Timber
Petroleum Refining
Inorganic Chemicals
Not Classified
Iron & Steel
Organic Chemicals (OCPSF)
Stone, Clay, Glass, & Concrete
Metal Products and Machinery
Food & Kindred Products
Foundries
Electrical
Pharmaceuticals
Asphalt Products
Textiles
HAZREL Score
3.5E+00
2.6E+00
1.7E+00
1.7E+00
1.6E+08
6.5E+05
7.1E+03
7.4E+02
6.2E*02
3.2E+02
3.7E+01
3.1E+01
1.8E+01
1.7E+01
1.6E+01
1.3E+01
1.0E+01
1.0E+01
7.7E+OQ
5.7E+00
5.2E+00
3JE+00
3.3E+00
2.9E+00
1JE+00
1.3E+CXJ
3.8E+03
2.6E+03
1.7E*03
8.7E*02
6.7E+02
8.7E+01
5.8E+01
3.0E*01
1,1E*01
8.4E+00
7,7E*00
4.8E+00
2.8E+00
2.7E*00
2.6E+00
1.4E+00
1.3E+00
1.1E+00
Raw Load (KOY)
130,22
2.04
30.73
16069
632,896.03
635,031.99
99,819.78
44,181.61
39,141.91
4,051.85
748.86
725.41
2,376.40
222.80
218.18
239.05
191.66
294.84
401.38
57.61
71.54
7.82
926.59
141.75
508.60
29.03
51,393.91
155,611.67
1,036.81
19,825.37
390.55
1,294.42
1,461.43
1,317.35
342.47
11.56
85.91
620.07
28.35
188.81
212.85
87.32
455.87
31.43
PageC2-l
-------
Table C3. HAZREL Score by Industrial
Category by State
(where HAZREL score ic greater than 1)
State Industrial Category HAZREL Score
AK
POTWs
Pulp & Paper
Fertilizers
Not Classified
AL
Pulp & Paper
Iron & Steel
Organic Chemicals (OCPSF)
Inorganic Chemicals
Timber
Pesticide*
Metal Products and Machinery
Petroleum Refining
Not Classified
Miscellaneous Chemical*
Nonferrous Metals
Textiles
Metal Finishing
Copper Forming
AR
POTWs
Organic Chemicals (OCPSF)
Umber
Explosives
Fertilizers
Iron i Steel
Pulp & Paper
Metal Products and Machinery
Furniture & Fixtures
Petroleum Refining
Nonferrous Metal Forming
Metal Finishing
Foundries
Pesticides
AZ
POTWs
Not Classified
Metal Finishing
Fertilizers
Metal Products and Machinery
Electrical
1.1E+03
6.0E+02
6.0E+01
1.8E+01
5.8E+04
3.2E+04
4.QE+03
3.2E+03
2.3E+02
2.2E*02
9.5E+01
6.9E+01
5.2E+01
2.2E+01
1.7E+01
8.3E+QO
3.4E*00
3.2E+00
1.7E+04
3.1E-KKJ
5.2E+Q2
9.6E*01
7.3E*01
3.5E*01
3.4E+01
2.8E+01
1,8E*01
8.4E*00
6,6E*00
3.9E+00
2.0E+00
1.9E+00
2.0E+03
8,8E*02
2.6E*02
2.0E+01
3.7E+00
1.0E+00
Raw Load (KG Y)
7,033.28
36,832.08
1,859.17
950.36
20,934.73
3,996,404.62
27,670.05
8,882.31
129.50
309.00
14,725.58
1,446.70
2,580.09
5,203.78
260.28
8,107.77
33.68
59.54
2,023.79
4,558.10
281.23
56.83
891.94
1,738.63
2,175.00
918.80
229.91
242.66
445.43
49.44
76.77
28.02
21,898.98
8,924.28
2,698.34
564.36
69.80
288.49
CA
Page C3 -1
-------
Table C3 (continued)
State Industrial Category
POTWs
Not Classified
Metal Products and Machinery
Petroleum Refining
Pulp & Paper
Iron & Steel
Metal Finishing
Electrical
Organic Chemicals (OCPSF)
Fertilizers
Foundries
Furniture & Fixtures
Inorganic Chemicals
Leather Tanning
Nonferrous Metals
Plastics Molding & Forming
Food & Kindred Products
Pesticides
Miscellaneous Chemicals
Copper Forming
Adhesives & Sealants
Battery Manufacturing
CO
POTWs
Not Classified
Fertilizers
Food & Kindred Products
Photographic Equipment
Iron & Steel
Metal Products and Machinery
Metal Finishing
Petroleum Refining
Foundries
CT
Metal Products and Machinery
POTWs
Organic Chemicals (OCPSF)
Pharmaceuticals
Metal Finishing
Nonferrous Metals
Not Classified
Copper Forming
Foundries
CoU Coating
Textiles
Nonferrous Metal Forming
HAZREL Score
1.6E+06
6.5E+05
7.1E+03
7.4E+02
6.2E+02
3.1E+01
2.8E+01
1.7E+01
1.7E+01
1.7E+01
1.6E+01
1.3E+01
1.0E+01
1.0E+01
7.3E+OQ
5.7E+00
5.2E+00
3.9E+00
3.3E+00
2.9E+00
1.9E+00
1.3E+QO
1.8E+03
3.6E+02
29E+O2
5.1E+01
3.3E+01
1.2E+01
6JE+00
3.6E+00
2.5E+00
1.7E+00
8.8E+04
2.0E+04
1.1E+03
2.2E+02
1.4E+02
1.4E+01
1.1E*01
6.0E+00
4.1E+00
2.8E+00
1.5E+00
1.4E+OQ
Raw Load (KGY)
610,997,05
626,102.33
99,721.07
43,695.56
39.141.91
725.41
518.58
2.087.91
222.80
184.50
218.18
239.05
191.66
294.84
367.75
57.61
71.54
7.82
926.59
141.75
508.60
29.03
24,392.12
3,105.50
11,832.76
1,556.49
109.55
699.41
214.80
42.53
372.94
30.73
1,130,773.45
32.092.19
45,644.81
27,484.53
1.071.54
80.66
2,390.19
169.26
126.85
21.91
7,076.11
5.90
PageC3-2
-------
Table C3 (continued)
State Industrial Category
DC
DE
FL
OA
Hi
IA
POTWs
Organic Chemicals (OCPSF)
Not Classified
Inorganic Chemicals
POTWs
Petroleum Refining
Pulp & Paper
Not Classified
POTWs
Organic Chemicals (OCPSF)
Nonferrous Metals
Gum & Wood Chemicals
Iron & Steel
Food & Kindred Products
Metal Finishing
Explosives
Inorganic Chemicals
Pesticides
Pulp & Paper
POTWt
Pesticides
Inorganic Chemicals
Textiles
Nonfwrout Metals
Not Classified
Metal Finishing
Metal Products and Machinery
Foundries
Miscellaneous Chemicals
IranS Steel
Apparel a Other Materials
Rubber Products
Organic Chemicals (OCPSF)
Food & Kindred Products
Timber
Soaps & Detergents
Metal Finishing
Petroleum Refining
POTWs
Apparel & Other Materials
HAZREL Score
9.6E+02
3.8E+03
2.9E+03
9.5E+02
3.8E+02
7.5E+00
3.3E+04
5.2E+03
1.8E+03
4.2E+01
2.3E+01
2.0E+01
1.3E+01
1.1E+01
5.0E+00
2.7E+00
2.3E+00
1.7E+00
3.2E+04
2.1E+04
2.7E+03
6.3E+02
6.1E+02
2.3E+02
2.1E+02
2.1E+01
1.BE+01
1.7E*01
1.1E+01
8.1E+00
8.0E+00
7.2E+00
7.0E*00
5.5E*00
4.2E+00
2.9E+00
3.6E*01
1.3E+00
4.5E+Q3
2.2E-KH
Raw Load (KGY)
51,92751
35,204,92
13,501.11
15,086.32
9,797.97
1,791.78
1,434,366.84
79,085.67
679.70
2,349.01
113.97
1,149.05
573,00
253.58
9,844.76
82.48
124.71
39.66
871,299.23
78,352.75
11.34
8,333.58
68,192,04
1,526.06
597.63
493.29
1,529.09
340.77
301.30
258,55
257.85
388.39
303.66
170.10
2.27
597.19
834.93
485.14
12,148.80
4,118.56
PageCS-3
-------
Tabl* C3 (contlnuwd)
State Industrial Category
Metal Products and Machinery
Not Classified
Organic Chemicals (OCPSF)
Metal Finishing
Pesticides
Food & Kindred Products
ID
Fertilizers
POTWs
Pulp & Paper
Timber
Metal Products and Machinery
IL
POTWs
Organic Chemicals (OCPSF)
Miscellaneous Chemicals
Metal Products and Machinery
Iron & Steel
Copper Forming
Pesticides
Not Classified
Petroleum Refining
Foundries
Nonferrous Metals
Food & Kindred Products
Plastics Molding & Forming
Metal Finishing
Palpi Paper
Inorganic Chemicals
Electrical
Apparel & Other Materials
Pharmaceuticals
Porcelain Enameling
IN
POTWs
Petroleum Refining
Organic Chemicals (OCPSF)
Not Classified
Metal Products and Machinery
Iron & Steel
Pharmaceuticals
Printing & Publishing
Miscellaneous Chemicals
Metal Finishing
Soaps & Detergents
Nonferrous Metals
HAZREL Score
7.7E+01
7.3E+01
1.9E+01
9.3E+QO
7.3E+00
2.8E+00
8.1E+02
3.3E+02
1.2E+02
3.4E+00
2.4E+00
3.5E+03
2.0E+03
2.0E+03
9.2E+02
4.3E+02
1.6E+02
1.3E+02
1.2E+02
5.8E+01
4.2E+01
3.9E+01
2.8E*01
2.1E+01
2.1E+01
1.2E+01
4.3E+00
2.8E+00
2.3E*00
2.1E+00
1.2E*00
6.6E*03
2.7E*03
2.2E*03
3.8E+02
1.4E+02
1.4E*02
7.2E+01
5.4E+01
5.1E+01
4.7E+01
3.4E+01
2.2E*01
Raw Load (KG Y)
5.483.S7
3,023.43
150.11
183.59
542.18
28.35
17,965.77
4,925.37
6,781.28
1.81
75.98
106,557.97
21,759.65
80978
11.054.43
8,189.46
5,771.92
30.05
5,884.82
5,088.93
1,603.59
1,544.44
310.21
10,888.14
1,062.26
6.19
8.72
217.16
93.23
74.84
20.17
112,596.65
1,213.47
2,239.07
11,708.20
1,678.23
4,549.96
1,217.37
219.78
428.58
1,202.88
507.35
601.82
PageC3-4
-------
Table C3 (continued)
State Industrial Category
Foundries
Plastic* Molding & Forming
Copper Forming
Nonferrous Metal Forming
Food & Kindred Product*
CoU Coating
Apparel & Other Materials
Rubber Products
KS
POTWs
Petroleum Refining
Metal Products and Machinery
Metal Finishing
Not Classified
Furniture & Fixtures
Electrical
KY
Inorganic Chemicals
Not Classified
Organic Chemicals (OCPSF)
POTWs
Timber
Miscellaneous Chemicals
Iron & Steel
Pulp & Paper
Pet/oleum Refining
Nonferrous Metals
Metal Finishing
Metal Products and Machinery
Nonferrous Metal Forming
Apparel & Other Materials
LA
Organic Chemicals (OCPSF)
Not Classified
Inorganic Chemicals
Petroleum Refining
Pharmaceuticals
Fertilizers
Miscellaneous Chemicals
Pesticides
POTWs
Metal Products and Machinery
Timber
Pulp& Paper
Nonferrous Metals
Stone, Clay, Glass, & Concrete
HAZREL Score
1.5E+01
1.5E+01
1.0E+01
2.8E+00
2.3E+00
2.2E+00
1.5E+OQ
1.0E+00
3.2E+Q4
2.3E+01
.9E+01
.6E+01
.3E+01
.3E+00
.1E+00
2.0E+04
4.2E+03
1.9E+03
3.0E+02
2.1E+02
1.4E+02
1.2E+02
9.6E*01
9.0E+01
4.9E+01
2.7E+01
2.2E+01
3.7E+00
2.7E+00
3.4E+05
9.3E+04
5.4E+04
3.6E+04
3.2E+04
4.0E+03
1.8E+CH
3.1E+02
2.6E+02
1.3E+02
1.2E+02
5.5E+01
3.SE+01
2.0E+00
Raw Load (KOY)
436.02
371.18
401.55
130.48
22.68
102.94
39.37
232.47
231,570.46
2,604.64
260.48
28.35
621.93
2,806.63
85.05
2,900.30
120,390.94
17,139.49
19,275.41
113.40
9,951.84
7,812.01
4,007.53
2,848.15
2,618.98
339.45
808.09
149.67
102.92
59,058.36
14,422.31
25,169.80
8,484.46
367.76
12.984.93
447.62
1,120.35
17,108.20
1,166.27
64.30
3,397.90
380.63
52.16
Page C3-S
-------
Table C3 (continued)
State Industrial Category
MA
MD
Ml
Ml
Soaps & Detergents
Metal Finishing
POTWs
Metal Products and Machinery
Nonferrous Metal Forming
Pulp 4 Paper
Not Classified
Metal Finishing
Organic Chemicals (OCPSF)
Iron & Steel
Electrical
Textiles
Copper Forming
Furniture & Fixtures
Soaps 4 Detergents
Adhesives & Sealants
POTWs
Inorganic Chemicals
Food & Kindred Products
Printing & Publishing
Coal Mining
Pulp 4 Paper
Iron 4 Steel
Nonfsrrout Metals
Not Classified
Leather Tanning
Metal Finishing
Organic Chemicals (OCPSF)
Metal Products and Machinery
Miscellaneous Chemicals
OU and Gas
Pulp S Paper
POTWs
Inorganic Chemicals
Leather Goods (other)
Metal Products and Machinery
Paint Formulating
Metal Finishing
POTWs
Organic Chemicals (OCPSF)
Adhesives S Sealants
Iron & Steel
HAZREL Score
1.8E+00
1.6E+00
8.4E*02
1.8E+02
7.QE+01
6.0E+01
2.7E+01
2.3E+01
1.3E+01
5.8E+QO
5.2E+00
3.8E+00
3.1E+00
2.8E+00
2.6E+00
1,3E*00
4.8E+04
6.5E+02
9.2E+01
8.0E+01
5.6E+01
5.6E+01
3.5E+01
1.6E*01
1.2E+01
9.1E+QQ
8.2E+00
S.OE+00
4.8E+00
2.0E+00
2.5E+02
2.2E+02
1.8E+02
1.7E*01
5.9E+00
1.9E*00
1,5E*00
1,3E*00
1.5E+04
5.5E*03
3.8E+03
5,iE*02
Raw Load (KGY)
386.01
85.26
16,490,91
7,124.36
47Z75
2,521.22
485.10
488.38
840.45
144.47
150.02
8,383.05
68.54
28.35
200.58
20.72
61,382.41
10,763.16
3,387.06
343.03
563.80
3,401.98
1,853.62
140.10
821.82
264.29
147.84
34.81
117.29
87.38
4,293.59
12,315.97
4,300.42
4.44
997.91
31.61
21.66
30.08
181,705.89
29,465.74
1,181.49
20,456.71
PageC3-t
-------
Table C3 (continind)
State Industrial Category
Pulp ft Paper
Petroleum Refining
Not Classified
Metal Finishing
Metal Products and Machinery
Leather Tanning
Fertilizers
Printing & Publishing
Pharmaceuticals
Foundries
Stone, Clay, Glass, & Concrete
Inorganic Chemicals
Furniture ft Fixtures
Soaps & Detergents
Miscellaneous Chemicals
Nonferrous Metals
MN
POTWs
Pulp ft Paper
Petroleum Refining
Paint Formulating
Metal Products and Machinery
Not Classified
Metal Finishing
Leather Tanning
Foundries
Electrical
Nonferrous Metals
MO
Organic Chemicals (OCPSF)
Metal Finishing
Metal Products and Machinery
Fertilizers
Timber
Stone, Clay, Glass, & Concrete
Not Classified
OH and Gas
Nonferrous Metals
Adhesives & Sealants
Nonferrous Metal Forming
Soaps & Detergents
Paint Formulating
Foundries
Furniture & Fixtures
Iron & Steel
HAZREL Score
2.8E+02
1.8E+02
1.6E+02
1.5E*02
7.QE+01
3.1E+01
3.11*01
2.7E+01
2.0E+01
1.5E+01
5.6E+OQ
4.3E+00
2.9E+00
1.8E+00
1.6E+00
1.5E+00
1,3E*04
3.5E+03
1.4E+03
6.7E+01
5.0E+01
2.7E+01
1.8E+01
8.9E+00
2.5E+00
2.2E+00
1.8E+00
4.3E*C»
4.0E*02
2.8E+02
1.6E+02
5.3E+01
3.4E+01
2.7E+01
1.3E+01
1.2E+01
5.7E+00
4.21*00
4.2E*00
3.9E*00
2.9E*00
2.8E*00
1.4E+00
Raw Load (KGY)
5.747.12
3,830.13
2,226.30
1,445.4i
2,723.95
907.19
852.92
737.86
1,524.47
462.90
689.13
235.89
86.18
174.07
274.70
113.97
62,724.58
2,102.99
714.58
3,057.71
28,178.92
1,095.05
253.45
425.10
70.99
169.53
11.00
1,491.99
4,201.33
13,641.25
1,502.45
28.35
125.19
548.59
4.44
435.31
113.97
141.75
85.05
200.72
33.23
28.35
30.73
MS
PageC3-7
-------
Table C3 (continued)
State Industrial Category
MT
NC
NO
NE
NH
Organic Chemicals (OCPSF)
Pesticides
Inorganic Chemicals
Petroleum Refining
Pulp & Paper
Fertilizers
Metal Finishing
Metal Products and Machinery
Timber
Pharmaceuticals
Nonferrous Metal Forming
Pulp & Paper
Tobacco Products
Timber
Petroleum Refining
Pulp & Paper
Organic Chemicals (OCPSF)
Soaps & Detergents
Pharmaceuticals
Textiles
Miscellaneous Chemical*
Metal Finishing
Inorganic Chemicals
Metal Products and Machinery
Nonferrous Metals
Rubber Products
Not Classified
Not Classified
Petroleum Refining
POTWs
Metal Products and Machinery
Metal Finishing
Food & Kindred Products
Fertilizers
Foundries
Timber
Rubber Products
Not Classified
POTWs
Miscellaneous Chemicals
Metal Products and Machinery
HAZREL Score
1.7E+03
1.3E+03
9.8E+02
7.7E+02
1.8E+02
9.4E+01
2.3E+01
4JE+00
4.4E+00
2.5E+00
2.1E+QQ
5.9E+QO
3.5E+00
2.5E+00
2.3E+00
2.8E+04
2.1E+03
8.8E+02
7.9E+01
4.1E+01
3.1E+01
1.4E+01
8.7E+00
8.1E-KX)
5.9E+00
2.3E*00
1.2E+00
3.7E*03
2.2E+00
7.5E-KI2
1.7E+02
2.8E-H31
2.2E-H31
8.4E+00
7.3E+00
5.1E+00
1.4E+00
1.3E+02
8.7E-H30
4.0E+00
1.7E+00
Raw Load (KGY)
1,183.52
127.01
964.74
1,225.92
10,170.58
2,713.08
256.68
119.80
8.05
33.28
161.71
362.88
130.22
1.36
97.17
40,831.57
4,444.91
564.73
9,547.54
29,952.03
7,401.34
242.34
39.48
191.42
202.99
156.40
3,488.27
46,413.91
64.73
16,077.49
2,945.33
448.74
2,388.88
244.20
85.05
2.72
2,768.64
1,360.13
86.54
205.44
91.41
Page C3-S
-------
Table C3 (continued)
State Industrial Category
Battery Manufacturing
NJ
POTWs
Organic Chemicals (OCPSF)
Paint Formulating
Asphalt Product*
Petroleum Refining
Pharmaceutical*
Not Classified
Metal Finishing
Miscellaneous Chemicals
Plastics Molding & Forming
Soaps & Detergents
Pulp & Paper
Metal Products and Machinery
Textiles
Inorganic Chemicals
Nonferrous Metals
Printing & Publishing
Nonferrous Metal Forming
Battery Manufacturing
Foundries
Photographic Equipment
Explosives
NM
Nonferrous Metals
Metal Finishing
Fertilizers
Metal Products and Machinery
NY
POTWs
Metal Products and Machinery
Metal Finishing
Photographic Equipment
Organic Chemicals (OCPSF)
Iron & Steel
Pulp & Paper
Not Classified
Inorganic Chemicals
Electrical
Nonferrous Metals
Fertilizers
Soaps & Detergents
Copper Forming
Coil Coating
Leather Tanning
HAZREL Score
1.5E+00
9.4E+04
5.0E+03
3.7E+03
1.2E+O3
1.1E+03
2.4E+02
1.9E+02
1.0E+02
6.4E+01
3.8E+01
3.3E+Q1
2.9E+Q1
2.8E+01
2.0E+Q1
1.6E+01
1.2E+01
6.7E+QO
6.4E+00
6.1E+00
4.0E+00
3.2E+00
2.2E+00
6.4E*01
4.9E+01
3.5E+00
1.6E+00
3.0E+04
1.5E+04
1.5E+04
7.0E+03
9.7E*02
6.6E+02
5,9E*02
4.9E+02
2.1E+02
1.4E+02
1.3E+02
1.3E+02
2.2E+01
2.2E*01
1.1E+01
1.1E+01
Raw Load (KGY)
34.02
692,404.66
17,445.27
1,755.44
108.04
6,218.73
32,457.75
1,364.91
911,39
51.82
24,403.94
535.80
1,770.14
7,242.49
10,045.57
404.24
159.54
317.86
102.17
30.62
68.01
38.56
119.21
28.35
1,875.74
101.61
17.92
277,531.20
3,332.77
31 ,772.44
5.9S5.25
15,174.43
8,958.79
10,567.33
3,513.00
346.63
1,439.50
3,290.18
2,939.99
603.30
995.01
414.79
308.79
PageC3-9
-------
Table C3 (continued)
SUte Industrial Category
Nonferrous Metal Forming
Printing & Publishing
Food & Kindred Products
Rubber Products
Pharmaceuticals
Stone, Clay, Glass, & Concrete
Pesticides
Foundries
OH
POTWs
Stone, Clay, Glass, & Concrete
Iron & Steel
Organic Chemicals (OCPSF)
Not Classified
Metal Finishing
Pulp & Paper
Metal Products and Machinery
Inorganic Chemicals
Copper Forming
Printing & Publishing
Miscellaneous Chemicals
Foundries
Nonferrous Metals
Coil Coating
Food & Kindred Products
Nonferrous Metal Forming
Soaps & Detergents
Hospitals
Petroleum Refining
Porcelain Enameling
Adhesives & Sealants
OK
POTWs
Not Classified
Petroleum Refining
Metal Finishing
Metal Products and Machinery
Fertilizers
Pulp & Paper
Iron & Steel
Nonferrous Metals
OR
POTWs
Pulp & Paper
Timber
Nonferrous Metals
HAZREL Score
8.8E*00
4.0E+00
3.7E+00
2.6E+00
2.2E+00
1.9E*00
1.6E+00
1.5E+00
7.2E+04
1.7E+03
1.3E+03
9.8E+02
1.5E+02
1.3E+02
1.2E+02
1.2E+02
8.7E*01
7.6E+01
6.1E*01
4.9E+01
3.5E+01
1.3E+01
1.1E+01
5.1E+00
4.0E+00
3.7E+00
2.0E+00
1.5E+00
1.5E+00
1.2E+00
5.3E+04
1.7E-KJ2
3.0E+01
1.4E+01
7.5E+00
3.0E*OQ
1.9E+00
1.4E+00
1.2E*00
1.8E+03
5.2E-K32
4.5E+02
4.8E+01
Raw Load (KG Y)
390.66
14946
202.08
1,847.96
1,148.27
32.09
3.16
115.10
813,487.60
788.77
48,952.94
9,216.31
5,500.43
3,221.35
5,333.17
3,705.13
594.66
511.21
1,701.57
3,019.48
979.30
311.88
548.57
272.92
274.30
324.89
45.63
180.74
128.80
827.59
34,751.42
7,130.97
1,076.05
281.73
185.93
159.67
226.80
31.75
35.14
18,495.60
26,779.04
239.05
637.77
Page C3 -10
-------
TaMe C3 (continued)
State Industrial Category
Inorganic Chemical*
Iron & Steal
Stone, Clay, Glass, 1 Concrete
Food & Kindred Products
Pharmaceuticals
Electrical
PA
POTW«
Not Classified
Organic Chemicals (OCPSF)
lron& Steel
Nonferrous Metals
Miscellaneous Chemicals
Petroleum Refining
Metal Finishing
Metal Products and Machinery
Pulp & Paper
Copper Forming
Textile*
Printing & Publishing
Foundries
Leather Tanning
Paint Formulating
Soaps & Detergents
Pharmaceuticals
Electrical
Inorganic Chemicals
Stone, Clay, Glass, & Concrete
Nonferrous Metal Forming
PR
Not Classified
Food & Kindred Products
Petroleum Refining
POTWs
Pharmaceuticals
Metal Finishing
Organic Chemicals (OCPSF)
Soaps & Detergents
Metal Products and Machinery
Stone, Clay, Glass, & Concrete
Electrical
Rl
POTWs
Organic Chemicals (OCPSF)
Stone, Clay, Glass, & Concrete
Soaps & Detergents
HAZREL Score
3.4E+01
1.1E+01
7.7E*00
2.8E+00
1.4E+00
1.3E+00
3.3E+05
8.4E+03
4.0E+03
1.1E+03
3.9E+02
3.6E+02
3.2E+02
3.1E+02
3.0E+02
2.4E+02
8.4E+01
3.2E+01
3.2E-KJ1
1.7E+01
1.2E+01
8.8E+00
6.6E+00
4.7E*00
4.5E+00
2.8E*00
2.2E+00
1.0E+00
3.7E+03
1.4E+03
1.1E+03
5.7E-K32
1.4E*<»
7.4E+01
2.4E+01
5.0E*00
1.8E+00
1.3E+00
1.1E+00
5.8E+03
7.1E+01
2.9E+01
2.9E+01
Raw Load (KGY)
1,225.28
342.47
85.91
28.35
87.32
90.38
95,244.39
49,944.08
10,114.09
28,324.87
2,924.27
19,602.41
17,024.10
3,702.44
5,241 .62
14,878.42
2,644.11
6,728.19
878.41
859.82
345.40
858.77
234.62
3,729.99
112.71
124.36
1.21
50.46
69,780.88
20,040.58
32,507.98
14,545.27
17,748.91
2,892.52
50.06
154.58
37.99
71.79
85.05
57,961.38
2.058.43
32.53
85.05
Page C3-11
-------
Table C3 (continued)
Slate Industrial Category
Textiles
0V and Gas
Metal Finishing
Metal Products and Machinery
Not Classified
SC
Organic Chemicals (OCPSF)
Pulp & Paper
Not Classified
Textiles
Miscellaneous Chemicals
Timber
POTWs
Metal Products and Machinery
Inorganic Chemicals
Metal Finishing
Iron & Steel
Soaps & Detergents
Printing S Publishing
Porcelain Enameling
Nonferrous Metals
Coil Coating
SD
Fertilizers
POTWs
TN
Not Classified
POTWs
Organic Chemicals (OCPSF)
Metal Finishing
Inorganic Chemicals
Miscellaneous Chemicals
Pulp & Paper
Fertilizers
Soaps & Detergents
Pesticides
Metal Products and Machinery
Nonferrous Metals
Plastics Molding & Forming
Petroleum Refining
Porcelain Enameling
Leather Tanning
Food & Kindred Products
Apparel & Other Materials
Printing & Publishing
Nonferrous Metal Forming
HAZREL Score
9.1E+00
8.3E+00
6.9E+00
4.1E+OQ
3.2E+00
6.8E+Q3
2.2E+03
2.1E+03
1.5E+03
4.2E+02
3.3E+02
2.9E+02
8.3E+01
2.2E*01
2.0E+01
1.7E+01
8.2E+00
4.0E+QO
2.9E+QO
2.6E+00
2.0E*00
6.6E+03
1.6E+01
4.5E+04
2.1E+04
1,9E*04
5.1E+03
3.0E+03
1.7E*03
1.7E+(a
1.2E*(K
8.5E+01
7.9E-K51
6.5E*01
5.SE+01
3.8E+01
1.4E+01
8.1E+00
6.0E*00
5.7E*00
2.3E*00
2.2E+00
2.2E*00
Raw Load (KGY)
10,923.11
5,47
133.93
175,77
19.34
82,069.77
6,751,08
158,531.16
17,441.11
239.02
261.02
6,959.49
623.41
1,072.82
162.68
399.70
201.20
124.74
28.92
27.14
56.70
58.549.77
200.07
907,371.29
49,898.89
7,299.57
343,572.46
171,541.28
6,536.89
9,748.97
4,768.07
113.63
70.42
11,395.10
1,201.73
19,618.07
1,197.72
144.10
174.07
56.70
85.75
153.86
82.79
Pag* C3 -12
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Table C3 (continued)
State Industrial Category
TX
POTWt
Organic Chemicals (OCPSF)
Warehousing And Storage
Inorganic Chemicals
Petroleum Refining
Pesticides
Timber
Metal Finishing
Not Classified
Pulp & Paper
Miscellaneous Chemicals
lron& Steel
Furniture & Fixtures
Nonferrous Metals
Electrical
Metal Products and Machinery
Foundries
Oil and Gas
Fertilizers
Food & Kindred Products
Pharmaceuticals
Stone, Clay, Glass, & Concrete
Apparel & Other Materials
UT
POTWs
Fertilizers
Iron & Steel
Petroleum Refining
Metal Finishing
Metal Products and Machinery
Electrical
VA
Organic Chemicals (OCPSF)
POTWs
Textiles
Not Classified
Explosives
Metal Finishing
Fertilizers
Gum & Wood Chemicals
Pulp & Paper
Metal Products and Machinery
Apparel & Other Materials
Pharmaceuticals
Timber
HAZREL Score
2.6E+05
1.6E+05
9.3E+04
1.6E+03
1.5E+03
1.3E-H33
6.7E+Q2
4.5E*Q2
4.2E+02
2.8E+02
1.3E+02
8.1E+01
7.2E+01
4.9E+01
4.8E+01
4.8E+01
3.1E+01
3.0E+01
9.1E+00
4.5E*00
2.8E-KX)
2.3E+00
2.2E+00
1.4E+03
5.5E+01
2.8E+01
1.8E+01
4.5E+00
3.4E-HX)
1,1E*00
2.1E-KH
7.9E+03
1.7E+03
4.4E+02
4.1E+02
1.3E+02
1.3E*02
1.0E+02
5.4E-H31
2.0E*01
1.9E+01
1.5E+01
5.5E+00
Raw Load (KGY)
180,110.58
64,955.69
76,92
13,588.57
51,079.95
1,125.88
1,360.79
5,484.86
2,976.97
16,667.33
15,605.66
2,813.62
3,677.79
773.29
1,088.63
922.17
644.16
217.25
114,89
240.14
23.56
15,972.29
8,594.04
15,345.89
1,765.46
1,330.58
7,976.88
85.05
35.74
118.73
21,626.38
2,530.67
90,848.12
15,588.84
75.30
3,503.30
3,260.95
31.75
3,305.36
213.92
1,505.72
24,833.32
161.03
Page C3 -1)
-------
Table C3 (continued)
State Industrial Category
VI
VT
WA
VWI
WV
Foundries
Inorganic Chemicals
Petroleum Refining
Electrical
Nonferrous Metals
Pulp & Paper
POTWs
Timber
Petroleum Refining
Inorganic Chemicals
Not Classified
Organic Chemicals (OCPSF)
Metal Products and Machinery
Foundries
AsphaR Products
Electrical
Textiles
POTWs
Pulp & Paper
Miscellaneous Chemicals
Metal Finishing
Not Classified
Metal Products and Machinery
Foundries
Organic Chemicals (OCPSF)
Inorganic Chemicals
Iron & Steel
Paint Formulating
Copper Forming
Porcelain Enameling
Furniture & Fixtures
Coil Coaling
Leather Goods (other)
Organic Chemicals (OCPSF)
Inorganic Chemicals
Iron & Steel
CoH Coating
Petroleum Refining
POTWs
Not Classified
Metal Finishing
HAZREL Score
1.1E+00
1.0E+00
1.0E+02
5.4E+00
1.7E+03
1.4E+03
8.2E+Q2
2.2E+02
8.6E+Q1
2.3E+01
1.2E+01
8.4E+00
2.3E+00
2.2E+00
1.3E+00
1.2E+00
1.1E+00
3.3E+05
1.1E+04
4.2E+02
2.3E+02
2.2E+02
9.2E+01
3.6E+01
2.2E+01
1.8E+01
1.1E+01
1.1E+01
S.OE+00
3.3E-KX3
2.8E+00
2.1E-KM
1.3E*00
6.6E-KB
1.2E+03
6.8E+02
6.4E+02
4.1E*02
1.1E+02
5.0E+01
3.0E+01
Raw Load (KGY)
80.29
25.29
2,181.18
130.18
399.04
85,219.27
20.939.6S
149.68
1,189.75
236.1S
366.88
11.56
541.82
151.39
455.87
93.56
31.43
86,012.05
10,254.19
157.74
9,228.35
3,810,87
1,915.89
1,126.97
2,578.13
105.63
68.81
790.70
113.40
59.54
28.35
38.21
28.35
10,065.17
14,944.68
12,778.05
26,526.32
873.01
216.53
2,179.97
837.23
Page C3-14
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Tabta C3 (continued)
State Industrial Category HAZREL Score Raw Load (KOY)
Pesticides 4.9E+00 905.83
Printing & Publishing 4.1E+00 162.59
WY
Not Classified 3.4E+00 262.76
Page C3 -16
A U.S. GOVERNMENT PRINTING OFFICE: 1995 - 615 - 003 I 21007
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