The National Sediment Contaminant Point Source Inventory:
Analysis of Facility Release Data
Draft
Office of Water
Office of Science and Technology
United States Environmental Protection Agency
Washington, DC 20460
July 1996
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The National Sediment Contaminant Point Source Inventory is a database of point source
pollutant discharges that may result in sediment contamination, and a screening-level analysis of
chemicals, geographic areas, and industries based on potential to cause sediment contamination. The
data and information contained in this document could be used in various EPA regulatory programs
for priority setting or other purposes after further evaluation using program-specific criteria. How-
ever, this document has no immediate or direct regulatory consequence. It does not in itself establish
any legally binding requirements, establish or affect legal rights or obligations, or represent a deter-
mination of any party's liability.
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Draft National Sediment Contaminant Point Source Inventory
Contents
Page
Acknowledgments . vii
Kxecutive Summary ix
J Introduction 1-1
Objectives of Point Source Inventor)' and Analysis 1-2
Anticipated Uses 1-2
^ Development of the Point Source Inventory 2-1
Identification of Point Source Releases of Sediment Contaminants 2-1
Determination of Chemical Loads 2-3
Toxic Release Inventory Data 2-3
Permit Compliance System Data 2-4
Assignment of Geographic Location and Industrial Category 2-5
Inventory Limitations 2-5
^ Development of Sediment Hazard Scores 3-1
Chemical-Specific Toxicity Score 3-3
Aquatic Life Screening Values 3-4
Human Health Screening Values 3-5
Chcmical-Specific Toxicity Scores 3-5
Chemical-Specific Fate Score 3-6
Air-Water Partitioning Subfactor 3-6
Sediment Adsorption Subfactor 3-7
Aqueous Biodegradation Subfactor 3-8
Functions of Sediment Hazard Score Components 3-9
^ Results of Screening-Level Hazard Analyses 4-1
Preparation of Data for Hazard Analysis 4-1
Analysis by Chemical 4-2
Analysis by Watershed 4-12
Analysis by Industrial Category 4-16
Conclusions 4-18
References Ref-1
Appendices
A. Sediment Hazard Scores and Supporting Data A-l
B. Watershed Priority Groups B-l
C. Detailed Analyses of Industrial Categories C-l
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Contents
Tables Page
Table 3-1 Assignment of HAZREL Score 3-2
Table 4-1 Analysis of TRI Data by Chemical (Sorted by Descending .
HAZREL Score) 4-3
Table 4-2 Analysis of PCS Data by Chemical (Sorted by Descending
HAZREL Score).... 4-6
Table 4-3 Analysis of TRI Data by Chemical Class 4-12
Table 4-4 Analysis of PCS Data by Chemical Class .......... 4-12
Table 4-5 Number of Watersheds in Each Priority Group by EPA Region 4-15
Table 4-6 Analysis of TRI Data by Industrial Category (Sorted by
Descending HAZREL Score) 4-18
Table 4-7 Analysis of PCS Data by Industrial Category (Sorted by
Descending HAZREL Score) 4-19
Tables in Appendices
Table A-l Sediment Hazard Scores (Sorted by Chemical Name) A-l
Table A-2 Sediment Chemistry Screening Values (Sorted by Chemical Name) A-5
Table A-3 Physical and Chemical Properties (Sorted by Chemical Name) A-11
Table B-l Priority Group 1 Watersheds (HAZREL score greater than 80) B-l
Table B-2 Priority Group 2 Watersheds (HAZREL score range: 61-80) B-3
Table B-3 Priority Group 3 Watersheds (HAZREL score range: 41-60) B-5
Table B-4 Priority Group 4 Watersheds (HAZREL score range: 21-40) B-7
TableB-5 Priority Group 5 Watersheds (HAZREL score range: 1-20) B-13
Table C-l HAZREL Scores from TRI by Industrial Category and Chemical
(for HAZREL Scores greater than 0) C-3
Table C-2 HAZREL Scores from PCS by Industrial Category and Chemical
(for HAZREL Scores greater than 0) C-l 1
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Draft National Sid i men I Contaminant I'oint Source lim-iit<>i \
Figures Page
Figure 3-1 Sediment hazard score—Parameter sensitivity 3-11
Figure 3-2 Sediment hazard score—sensitivity 3-12
Figure 4-1 HAZREL score by watershed 4-14
Figure 4-2 Comparison of Site Inventory evaluation to HAZREL score by
watershed: percent of stations classified as Tier 1 or 2 as a function of
HAZREL score 4-16
Figure 4-3 Comparison of Site Inventory evaluation to HAZREL score by
watershed: (a) percent of stations classified as Tier 1 or 2 as a function
of HAZREL score, (b) percent of watersheds that are classified as
APC by priority group 4-17
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Drufl National Sediment Contaminant Point Source Inventory
Acknowledgments
The United States Environmental Protection Agency's Office of Science and Technol-
ogy produced this report with technical assistance from Tetra Tech, Inc., under EPA Con-
tract Number 68-C3-0374 and Versar, Inc., under EPA Contract Number 68-C3-0013. Several
staff people from EPA regional offices and other headquarters program offices reviewed
previous drafts of this document, and we greatly appreciate their efforts and helpful com-
ments. We wish to thank Anthony Pait of the National Oceanic and Atmospheric Adminis-
tration (NOAA) for his review of the original hazard analysis methodology and Ruth Hull
of the Oak Ridge National Laboratory for providing many measures of the physical-chemi-
cal properties for specific chemicals. We also wish to acknowledge the following persons,
who provided external peer review of a previous working draft report employing the hazard
analysis methodology on 1992 facility release data: William J. Adams, formerly of Ana-
lytical Bio-Chemistry Laboratories, Inc., in Columbia, Missouri; Robert Huggett, formerly
of the Virginia Institute of Marine Science in Norfolk, Virginia; Richard Kimerle of the
Monsanto Company in St. Louis, Missouri; and Keith Phillips of the State of Washington
Department of Ecology in Olympia, Washington. We greatly appreciate their insightful
comments.
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Draft National Si-dimi-iil Contaminant I'nint Source Inventory
Executive Summary
jLJruring 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 col-
umn. This has been accomplished primarily by controlling municipal and industrial point
sources. More recently, EPA has begun to direct its efforts toward identifying and control-
ling other threats to the aquatic environment, including the accumulation of toxic chemicals
in sediment. EPA's Office of Science and Technology (OST) has led the Agency's efforts to
compile and analyze data for the National Sediment Contaminant Point Source Inventory.
The screening-level sediment hazard analysis developed for and applied to this study can-
not be used alone to predict sediment contamination or to indicate where contaminated
sediment problems have occurred or who is responsible. The major objectives of the inven-
tory and the analysis presented in this report are as follows:
• Generate a relative ranking of chemicals and industrial categories based on 1993
Toxic Release Inventory (TRI) and 1994 Permit Compliance System (PCS) chemi-
cal release data.
• Prioritize watersheds for collection of additional information that might lead to
the identification of additional monitoring needs or pollution prevention oppor-
tunities.
• Establish a baseline to which additional or future inventories can be compared.
The inventory includes more than 25,500 individual TRI and PCS records of point
source pollutant releases of 111 different chemicals. Approximately 1,020 individual wa-
tersheds and 31 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. Direct releases of potential sediment
contaminants from 4,869 facilities in PCS totaled nearly 19 million lb/yr in 1994. From
1993 TRI data, direct releases and transfers to POTWs of potential sediment contaminants
from 3,432 manufacturing facilities totaled 7.3 million lb/yr. The inventory is limited by
the quality, quantity, coverage, and bias of the release data in TRI and PCS.
EPA developed and employed a screening-level hazard analysis procedure to achieve
the objectives of this study. The HAZREL (short for hazard analysis of releases) score is a
unitless index of the magnitude of potential sediment contamination based on chemical/
facility-specific releases, physical and chemical properties, and potential environmental
risk. The hazard analysis is limited by the lack of consideration of site-specific informa-
tion, the lack of pollutant transport analysis, and the uncertainty associated with the compo-
nents of the chemical-specific sediment hazard scores. For these reasons, the results of the
hazard assessment should be used for screening purposes only, not as a definitive judgment
regarding the most significant sediment contaminants, the most affected watersheds, or the
most important industrial categories.
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Executive Summary
This analysis indicates that metals and organic chemicals other than pesticides, PAHs,
and PCBs constitute the most widespread potential sediment hazard from point sources.
Although important in some instances, releases of PAHs, pesticides, and PCBs appear to be
less prevalent. The hazard analysis relies on correlative, statistically based threshold values
to evaluate the potential adverse effects of metals in sediment. Although these correlative
thresholds are useful, they are limited in their application because they do not directly ad-
dress the bioavailability of metals in sediment. This report further emphasizes the need for
the development of practical assessment tools to evaluate the bioavailability and toxicity of
metals in sediment.
The data analysis based on release data from TRI and PCS indicates that certain indus-
trial categories have a high potential for contributing to sediment contamination. Sewerage
systems, with nearly 2,000 facilities in PCS, represent more than one-half of the total
HAZREL score of all the data analyzed in PCS and TRI together. Sixty-one percent of the
HAZREL score for sewerage systems is from the five divalent metals. The Metal Products
and Finishing, Primary Metal Industries, and Industrial Organic Chemicals categories were
ranked in the top five industrial categories in terms of HAZREL score for both PCS and
TRI. Other industrial categories ranked in the top five for either TRI or PCS include Public
Utilities (other than sewerage systems), Petroleum Refining, and Other Chemical Products.
Although TRI and PCS contain extensive records from most of the large dischargers, these
data represent a limited, and somewhat biased, segment of the overall discharger commu-
nity. Some industrial categories are not well represented in either PCS or TRI. Thus, these
results reflect data availability as much as relative sediment hazard potential.
Total HAZREL scores at the watershed level ranged from 0 to 312. Of the 1,020
watersheds evaluated, 17 watersheds were placed in priority group 1 (HAZREL score greater
than 80), 19 watersheds were placed in priority group 2 (HAZREL score range 61-80), 29
watersheds were placed in priority group 3 (HAZREL score range 41-60), 87 watersheds
were placed in priority group 4 (HAZREL score range 21-40), and 672 watersheds were
placed in priority group 5 (HAZREL score range 1-20). One hundred ninety-six water-
sheds had a HAZREL score of zero and were not assigned to a priority group. Figure
ES-1 shows the location of watersheds in priority groups 1,2,3. and 4.
The watersheds identified in this analysis represent areas where sediment contami-
nants are discharged; they do not necessarily represent locations where sediment contami-
nation has occurred or will occur. As defined by the U.S. Geological Survey 8-digit cataloging
unit, watersheds can represent large areas that vary greatly in size, shape, and physical/
chemical characteristics encompassing large mainstem rivers and small tributary streams.
Transport, sediment partitioning, and sediment accumulation—whether in locations very
close to the point of discharge or far downstream—depend on many factors, including
streamflow, stream velocity, geomorphology, particle size distribution, organic carbon con-
tent, suspended sediment load, temperature, pH, and salinity. However, comparison with
existing sediment monitoring data provides further means of screening watersheds where
point sources are more likely to contribute to contamination.
The general relationship between annual point source releases and results reported in
EPA's draft National Sediment Quality Survey (USEPA, 1996b) demonstrates a co-occurrence
of active discharge of sediment contaminants and evidence of sediment contamination. A wa-
tershed with a high HAZREL score is more likely to be designated as one of the 96 areas of
widespread potential sediment contamination (APCs) in the National Sediment Quality Survey.
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Priority
HAZRF.I.
Cfroup
Score
i
> 80
Bh
fil - «0
1 1 »
41 -60
t^4
21 -40
Figure ES-1. HAZREL score by watershed.
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Kxii iiiivi- Sunimsiry
For priority group 1,75 percent of the watersheds are APCs. For priority groups 2 and 3,37 and
35 percent of the watersheds are APCs, respectively. For priority group 4, 21 percent of the
watersheds are APCs. Finally, for priority group 5,8 percent of the watersheds are APCs. Less
than 1 percent of the watersheds with a zero HAZREL score are APCs.
While this analysis does not imply thai point sources caused the in-place contamina-
tion, it emphasizes the potential significance of contaminant releases in areas already con-
taminated. There are many sources of sediment contaminants in watersheds, both active,
and historical, point and nonpoint. This assessment identifies specific watersheds where
active point sources might play an important role. To promote natural recovery of contami-
nated areas, active dischargers must be adequately controlled to ensure that their releases do
not perpetuate contamination problems.
The draft EPA report Environmental Goals for America With Milestones for 2005
(USEPA, 1996a) proposes that the Agency, together with its state partners, adequately con-
trol point sources of contamination over the next 10 years in 10 percent of the watersheds
where sediment contamination is widespread. Specifically, major facility discharge limits
need to be evaluated and appropriately revised in watersheds at greatest risk from active
discharges. The objective of these evaluations should be to determine whether existing
technology-based controls or water quality-based discharge limits protect downstream sedi-
ment quality to the degree necessary for natural recovery of contaminated sites. EPA is
currently developing the methodology to relate point source contributions to, sediment con-
taminant concentrations. This methodology is needed before developing permit limits pro-
tective of sediment quality. This report identifies 29 watersheds that are both APCs based
on the National Sediment Quality Survey and in HAZREL priority group 1, 2, or 3 based on
this analysis. These watersheds should be considered for further evaluation and necessary
action to achieve (he milestone in EPA's Goals Report.
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Draft National Sediment Contaminant Point Source Inventory
Chapter 1
Introduction
B ring 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 col-
umn. This has been accomplished primarily by controlling municipal and industrial point
sources. More recently, EPA has begun to direct its efforts toward identifying and control-
ling 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 proposed CSMS is to coordinate the Agency's efforts
to assess, prevent, and remediate contaminated sediment that poses environmental and hu-
man health risks.
EPA's Office of Science and Technplogy (OST) initiated work several years ago on
the development of a National Sediment Inventory (NSI) through a series of pilot invento-
ries, planning meetings, and national workshops. Recently, various data indicative of sedi-
ment quality have been compiled into an integrated data set. The evaluation of the sediment
quality data was documented in the National Sediment Quality Survey (USEPA, 1996b), a
draft report to Congress on the extent and severity of sediment contamination (hereafter
referred to as the Site Inventory). The Site Inventory evaluation serves as a means of
screening and targeting, and it identifies 96 watersheds as areas of potential widespread
sediment contamination (APCs). OST's Site Inventory and the Office of Policy, Planning,
and Evaluation's (OPPE's) draft National Goals Report both call for further evaluation of
these watersheds. Further evaluation entails performing additional site characterization
based on sediment chemistry and related biological data, determining temporal trends, as-
sessing human health and ecological risks, identifying potential sources of sediment con-
tamination, and determining whether potential sources are adequately controlled. The end
result of these efforts should be a judgment whether natural recovery is a feasible option for
risk reduction.
To proceed with the identification of potential sources of sediment contaminants, OST
initiated two related efforts to identify, characterize, and evaluate the potential importance
of nonpoint and point source discharges of pollutants that might contribute to sediment
contamination. The nonpoint source assessment effort focuses on collecting information on
contributions primarily from agricultural lands, inactive and abandoned mine sites, urban
areas, and atmospheric deposition. The corresponding effort to assess active point source
releases and to identify watersheds where such releases might contribute to sediment con-
tamination is the focus of this report.
OST is leading EPA's efforts to complete a National Sediment Contaminant Point
Source Inventory. Collection and analysis of data describing sources of contaminated sedi-
ment will help provide an understanding of the potential magnitude and extent of contami-
nation problems in the Nation's freshwater and estuarine sediments. The inventory will be
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Introduction
useful to help locate potentially contaminated sites for additional monitoring and to inte-
grate sediment sampling into existing water quality monitoring programs. The Point Source
Inventory will also be a useful source of information for identifying pollution prevention
opportunities and other source control efforts.
Objectives of Point Source Inventory and Analysis
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, storm water 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 to effective treatment, and spills are important historical sources of
existing sediment contamination that are difficult to identify. The Point Source Inventory is
a compilation of the most recent available documented releases of known sediment con-
taminants from active municipal, industrial, and federal facilities. The major objectives of
this inventory and the analysis presented in this report are as follows:
• Generate a relative ranking of chemicals and industrial categories based on 1993
Toxic Release Inventory (TRI) and 1994 Permit Compliance System (PCS) chemi-
cal release data.
• Prioritize watersheds for collection of additional information that might lead to
the identification of additional monitoring needs or pollution prevention opportu-
nities.
• 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 de-
velop the screening-level sediment hazard scores. Chapter 4 presents a summary of the
results in relationship lo chemicals and chemical classes, watersheds, and industrial catego-
ries. Appendix A contains the data used to develop hazard scores for individual chemicals.
Appendix B presents the results of the watershed priority groupings, and Appendix C in-
cludes detailed results of the analysis by industrial category.
Anticipated Uses
EPA's proposed 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:
• Targeting further evaluations
• Evaluating alternative control options
• Enhancing current assessment approaches
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Draft National Sediment Contaminant Point Source Inventory
• Evaluating environmental benefits.
This evaluation has identified watersheds where point sources could contribute to sediment
contamination. It is anticipated that states, in cooperation with EPA and other federal agen-
cies, will proceed with further evaluations of the top-priority watersheds. This effort is
especially important for those watersheds also identified from the Site Inventory as areas of
potential widespread sediment contamination (APCs). The purpose of additional evalua-
tion should be to determine whether existing technology-based controls or water quality-
based discharge limits adequately protect downstream sediment quality and do not
compromise natural recovery of contaminated areas.
The sediment hazard analysis described in this report is currently the most compre-
hensive assessment of national point source releases of sediment contaminants. The sedi-
ment hazard analysis and data compiled for this report can be powerful tools for water
resource managers at the national, regional, state, and watershed levels. This report pro-
vides a wealth of information that can be integrated with other data characterizing the qual-
ity of aquatic sediment and other contaminant sources. For example, point source release
data and hazard analysis results could be incorporated into the Agency's recently developed
PC-based geographic information system (GIS) for watershed modeling and assessment.
This system, called BASINS (Better Assessment Science for Integrating Point and Non-
point Sources), provides the framework to integrate and analyze spatially related data, such
as land use, stream hydrography, ambient contaminant levels in water and sediment, and
discharger locations and release amounts. This system also allows the user to augment or
replace data with additional or more appropriate information at the regional or local level.
This is an important feature when contemplating use of PCS or TRI data, which cover a
limited segment of all dischargers and might contain erroneous data, for specific local analy-
ses.
The Point Source Inventory can be used to track risk reduction achieved through re-
duced surface water loadings. This supports activities such as the EPA Office of Policy,
Planning, and Evaluation's National Goals Report, which is an effort to develop and track
progress toward the Clean Water Act and other environmental legislation goals. Although
not a direct measure of environmental quality, the Point Source Inventory provides a mecha-
nism to track discharge of sediment contaminants.
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Draft National Sediment Contaminant Point Source Inventory
Chapter 2
Development of the
Point Source Inventory
m
JLhe methodology employed in developing the Point Source Inventory had three basic
steps. First, a master list of chemicals of interest was compiled. The chemicals selected
were those with available sediment chemistry screening values that were used to evaluate
Site Inventory data. These chemicals are frequently detected in sediment and have been
studied for their potential adverse effects on aquatic life or human health. Second, annual
loading amounts were determined for the chemicals of interest. Two EPA computer data-
bases were used as the primary sources of release information: the Toxic Release Inventory
(TR1) and the Permit Compliance System (PCS). Releases were then assigned to water-
sheds, chemical classes, and industrial categories.
Identification of Point Source Releases of
Sediment Contaminants
For the Site InvenLory, EPA compiled sediment chemistry and fish tissue residue data
for more than 230 chemicals whose detected levels in these media could be evaluated for
potential adverse effects to aquatic life or human health. The Site Inventor)' evaluation of
potential adverse effects to aquatic life was based on comparing sediment chemistry mea-
surements to levels associated with adverse effects. The evaluation of adverse human health
effects was based on comparing direct fish tissue measures, or predicted levels based on
sediment concentrations, to EPA risk levels or Food and Drug Administration (FDA) guid-
ance. Evaluating the potential threat to sediment quality posed by a point source chemical
release requires knowledge of the level in sediment associated with an adverse effect. EPA
could not evaluate sediment chemistry measurements for approximately 100 of the more
than 230 chemicals because the Agency lacked either information regarding adverse effects
to aquatic life or the means to predict fish tissue concentrations resulting from exposures to
sediment contaminant concentrations (i.e., a biota-sediment accumulation factor (BSAF),
available for nonionic organic compounds only). Other chemicals lacked the necessary
information to evaluate the chemical faLe or intermedia partitioning upon discharge to sur-
face water. These factors limited the inventory to 111 individual sediment contaminants.
The data requirements of the Point Source Inventory limited the number of useful
databases containing information about the release of those 111 chemicals from point sources.
The requirements include (1) classification of the type of discharger (industrial category or
Standard Industrial Classification [SIC] code); (2) pollutant-specific release daLa (e.g.. mea-
sured 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 databases
that meet these data requirements.
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Development of the Point Source Inventory
Toxic Release Inventory (TRI). TRI is a consistent, comprehensive national database
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 Reauthonzation Act of 1986 (SARA). This section requires the owner/
operator of an industrial facility to report environmental releases of more than 300 specified
toxic chemicals to EPA if the facility meets certain criteria. EPA's Office of Pollution
Prevention and Toxics (OPPT) manages the information on releases submitted by industry.
Reports submitted by industry are the sole source of data in TRI. TRI contains release
information from approximately 27,000 facilities. An owner/operator must file a report for
a facility when it meets the following criteria:
• It employs the equivalent of 10 or more full-time employees.
• It engages in manufacturing (SIC Codes 20 through 39).
• It manufactures, imports, or processes more than 25,(XX) pounds of any listed
chemical, or otherwise uses more than 10,000 pounds of any listed chemical.
For each Listed chemical (currently over 300 specific chemicals and 20 chemical groups),
the facility must submit a 'Toxic Chemical Release Reporting Form," which contains the
following:
• Facility identification information such as facility name, parent company, loca-
tion (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 water body.
• Offsite transfer locations for toxic chemicals, such as publicly owned treatment
works (name and address of POTW) or waste disposal and treatment facilities
(name, address, and EPA identification number).
• Chemical-specific information such as chemical identification (name and Chemi-
cal Abstract Service fCASl number); use of the chemical at the facility; quanti-
ties released to air (fugitive and stack), water (including storm water), under-
ground 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 1,0(X) lb/year (i.e., 0-10, 11-499, and 500-999) or as a total an-
nual release. The facility also reports the methods used in determining the re-
lease quantities (e.g., actual monitoring data, mass balance calculations, or emis-
sion factors).
Permit Compliance System (PCS). PCS is the national information management sys-
tem for tracking compliance, enforcement, and permit status for the National Pollutant Dis-
charge Elimination System (NPDES) program under the Clean Water Act. The NPDES
program requires permits for all point source pollutant discharges to navigable U.S. water-
ways (other than dredged or fill material regulated under section 404 of the Clean Water
Act). Specific discharge limits or monitoring requirements have been set for over 200
individual chemicals.
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Draft National Sediment Contaminant Point Source Inventory
EPA's 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 pro-
gram. 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 that are classified as "major." Facili-
ties are classified as "major" based on consideration of many factors, including effluent
design flow, physical and chemical characteristics of the waste stream, and location of dis-
charge. Each permit record in PCS may contain information that:
• Identifies and describes the. facility (including a primary SIC code) to which the
permit has been issued.
• Specifies the pollutant discharge limits for that facility.
• Records the actual amounts of pollutants and flows measured in the facility's
wastewater discharges.
• Tracks the facility's history of compliance with construction requirements, pol-
lutant 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 which 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 database is updated twice weekly.
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 this evaluation, data from TRI
and PCS were extracted for the calendar years 1993 and 1994, respectively. Together, TRI
and PCS form the most comprehensive national chemical loading database. Facilities cov-
ered by both TRI and PCS cannot be readily identified, however, because, no common,
quality-controlled facility identification data elements are available in these databases. TRI
contains a field for NPDES number, but its quality control is poor. Both TRI and PCS
contain a field for EPA identification number, but these numbers, too, are unreliable. There-
fore, there is a potential for double records of releases for chemicals reported in both TRI
and PCS. As a result, the data in TRI and PCS are evaluated independently.
Toxic Release Inventory Data
For each TRI facility, total amounts of the chemicals of interest reported to be dis-
charged to surface water and POTWs in calendar year 1993 were retrieved. For each chemi-
cal, the total release to surface water and an adjusted release to POTWs were summed to
yield a total facility discharge. Some characteristics of the TRI database might introduce
uncertainty into the release estimates. For example, manufacturers required to report to
TRI might estimate chemical releases using ranges (e.g.. 10 to 499 lb/yr). In the TRI data-
base. ihe ranges are converted to a single value represented by the midpoint of the range
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Development of the Point Source Inventory
(e.g., 250 lb/yr). Use of these midpoint values may overestimate or underestimate the
actual releases of TRI chemicals.
The reported amounts of releases 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 Database (USEPA, 1991) indicated that removal rates can be
highly variable and dependent on conditions at the POTW. Based on peer review com-
ments received on a draft version of this methodology (Adams, 1994), all pollutants were
assigned a removal rate of 75 percent. This removal rate does not tend to significantly
overestimate or underestimate actual loading values. In a secondary treatment system, such
as an activated sludge system, 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).
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 (USEPA. 1992a). EDS
uses the following hierarchy to assign a loading for each pollutant: (1) reported chemical
mass loading and (2) chemical loadings estimaied based on discharge flow and concentra-
tion measurement. Depending on the monitoring requirements imposed by the permit,
concentrations may be reported in many different ways. EDS selects concentration mea-
surements from PCS in the following order of preference for inclusion in the inventory:
• Average concentration
• Maximum concentration
• Minimum concentration.
Loadings were estimated only for records with valid concentrations (as defined by
EDS) and corresponding flow data assuming 30 operating days per month for each facility.
Loadings were estimated using the following general equation:
conversion factors = appropriate factors to convert reported units to standard units.
Total release amounts of the chemicals of interest were calculated for each PCS facil-
ity. Data were retrieved at the discharge pipe level from PCS for every NPDES discharger
where the requisite data were available. Concentration data for each chemical were con-
Load = Flow * Cone * Conversion Factors
Equation 1
where:
cone
load
flow
specific pollutant load from a facility per unit time;
facility effluent flow per unit time;
concentration of a pollutant; and
2-4
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I)r:it( National Sidimint Contaminant Point Source Inventory
verted into annua] loadings using Equation 1 above. The calculated loads for a given chemical
from each discharge pipe at a facility were summed to yield the total facility load. In
addition, multiple parameters sometimes exist for the same pollutant. For example, zinc
concentrations might 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 the chemicals of interest are often recorded in PCS
as below the detection limit. In some cases, these measurements might reflect a low chemi-
cal concentration that available analytical instrumentation cannot recognize. In other cases,
the chemical might not be present in the effluent. Measurements reported below a detection
limit most commonly occur for highly toxic pollutants. Monitoring requirements for these
chemicals might exist as a "safeguard" to alert managers to the presence of a particular
chemical in effluent, or might be part of a large set of chemical measurements required by
an effluent guideline rule covering a particular industrial category. In any case, a measure-
ment reported below detection in PCS monitoring data does not establish the presence of
the chemical in effluent. Therefore, values below the detection limit are set to zero in this
inventory.
Assignment of Geographic Location and
Industrial Category
Stream reach numbers (from EPA River Reach File 1) were assigned to each facility in
the Point Source Inventory to place chemical discharges into watersheds. Because the
reach number was frequently missing from both PCS and TRI, reach numbers were added
electronically by linking PCS and TRI facility identification codes to the EPA Industrial
Facilities Discharge File (IFD). If the reach number was not available in IFD, a computer-
ized 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. If the facility
latitude and longitude coordinates were missing, the centroid of the county was used as the
discharge location.
Industrial categories are groupings based on SIC codes. An industrial category can be
based on a single 4-digit SIC code (e.g., Petroleum Refining) or a large and variable range
of SIC codes (e.g.. Metal Products and Finishing). Each facility in the Point Source Inven-
tory 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 could correspond to different SIC codes, industrial category groupings are only ap-
proximate. There were 31 industrial categories overall. PCS data were grouped into 27
industrial categories, and TRI data were grouped into 21 industrial categories.
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 its use as a targeting tool to prioritize watersheds, chemicals, and indus-
tries for further evaluation. In some instances, the limitations might affect small-scale analyses
2-5
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Development of the Point Source Inventory
(i.e., individual stream or lake water body segments) while 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 factors.
This analysis is primarily limited by the quality and quantity of existing data in na-
tional EPA databases. 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 databases such as TRI and PCS.
Although a considerable volume of information is contained in these databases, many im-
portant parameters are not available. In particular, no national electronic database accu-
rately, consistently, or completely stores information concerning the characteristics of
water bodies, such as underlying sediment type. Furthermore, data quality assurance/qual-
ity control is an important issue when using data from large national databases that receive
input from a variety of sources. The amount of data contained in these national databases is
too large to conduct comprehensive verification procedures. In addition, it should be noted
that the number of facilities discharging chemicals of interest may vary from year to year
based on such factors as regulatory changes (e.g., increased chemical reporting or SIC cov-
erage in TRI, or increases in the number of recorded storm water permits in PCS) or eco-
nomic conditions. Given these qualifications, the three major limitations of the inventory
as it is now structured are:
• The inability to predict whether a point source release could contribute to a sedi-
ment contamination problem.
• The inability to predict where point source releases might contribute to sediment
contamination (i.e., the geographic analyses are limited to identifying areas or
watersheds where point source releases occur).
• The inability to assess contributions from nonpoint source inputs (including de-
liberate introduction of toxic substances, such as pesticides and household chemi-
cals, to the environment) and from point source inputs not represented in the PCS
or TRI databases (e.g., facilities that do not meet a TRI reporting criterion and for
which NPDES permits do not require monthly monitoring).
Conclusions based on the Point Source Inventory should take into consideration the
inherent limitations of the databases and the assumptions used in developing the inventory.
Factors associated with database limitations that should be considered include the possibil-
ity of erroneous data in TRI and PCS, the limited coverage of TRI and PCS, and inherent
database biases. Neither PCS nor TRI accurately reflects the full extent of toxic chemical
releases from point sources, and the data contained in both may be inherently biased. Al-
though several hundred individual chemicals are represented in each database, as many as 5
to 10 times more chemicals might 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 are partly a function of the policies and practices of the state or regional
permitting authority, and of the industrial activities conducted at the facility, the data might
be biased toward some geographic regions and industrial categories. Furthermore, only
approximately 10 percent of permitted dischargers are classified as "major" and have exten-
sive records from which chemical loads can be derived. Facilities subject to TRI reporting
represent a relatively narrow range of commercial activities (manufacturing only). Al-
though the TRI database is based on a standard set of chemicals, many highly toxic chemi-
2-6
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Draft National Sediment Contaminant I'oint Source Inventory
cals 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 might over-
come some of these limitations and the biases they create.
Other potential sources of error are associated with the assumptions used in the as-
signment of geographic location and industrial category. In many cases, geographic loca-
tion assignment was made using latitude and longitude coordinates of the facility and the
nearest stream reach. However, the nearest stream might not be the receiving stream for
some facilities. Also, for TRI data, POTW receiving streams could not be identified. Con-
sequently, 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 wastes generated from non-primary
SIC code activities are included with those from the primary SIC code in the Point Source
Inventory.
2-7
-------
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Drai't National Sediment Contaminant Point Source Inventory
Chapter 3
Development of Sediment
Hazard Scores
major objective of the Point Source Inventory was to develop and employ a screen-
ing-level hazard analysis procedure to identify and prioritize watersheds where active point
sources may contribute to sediment contamination, and to generate a relative ranking of
chemicals and industrial source categories that arc potential contributors. To enable screen-
ing-level analyses, chcmical-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-spe-
cific SHSs to produce hazard-weighted releases (HAZRELs):
HAZREL = SHS * ACL Equation 2
where:
SHS =
Sediment hazard score, a product of the FATE and TOX scores as
described below, and
ACL =
Annual chemical load, the annual release amount (lb/yr) of a specific
chemical from individual industrial or municipal treatment facilities.
SHSs are intended to represent both the potential of a particular chemical to accumu-
late in sediment upon discharge to surface water (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. Four previous works
were examined to assist in the development of the screening-level hazard analysis method-
ology:
• National Sediment Quality Survey (Site Inventory, peer-reviewed draft, USEPA,
1996b);
• Established methods of determining sediment toxicity (USEPA, 1992b);
• Superfund's Hazard Ranking System, Final Rule (USEPA, 1990a); and
• NOAA's pesticide hazard rating system (Fait et al., 1992).
3-1
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Development of Sediment lla/ard Scores
Calculated SHSs, TOX scores, and FATE scores, along with the information required to
calculate them (i.e., sediment chemistry screening values and physical/chemical proper-
ties), are presented in Appendix A of this report.
The HAZREL computed for a facility's discharge of a specific chemical is assigned a
HAZREL score. The HAZREL score is a unitless index of the magnitude of potential
sediment contamination based on chemical/facility-specific releases, physical and chemical
properties, and potential environmental risk. The mathematical relationship of HAZREL
scores to HAZRELs is given by the following equation:
HAZREL score = INT (log10 {HAZREL)) + 1 Equation 3
Values less than zero or greater than 5 are set to zero and 5, respectively. HAZREL
scores indicate the potential contribution to sediment contamination 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
intermedia partitioning. HAZREL scores may be used to rank and compare potential sedi-
ment 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 relative potential risk of causing sediment con-
tamination, and to identify watersheds where the risk of contamination from active point
sources might be the greatest.
Table 3-1 illustrates the assignment of HAZREL scores. In general, the HAZREL
score represents the magnitude of the HAZREL (product of SHS times ACL). However, if
the HAZREL is less than 1, the release is assigned a HAZREL score of zero. This assumes
that these releases are not significant potential contributors to sediment contamination, and
is intended to focus attention on larger releases with greater hazard potential. The column
headings of Table 3-1 provide chemicals representative of each SHS range as a reference.
Table 3-1. Assignment of HAZREL Score
Annual
Chemical Load
(lb/vr)
Sediment Hazard Score (TOX Score * FATE Score)
0.001
(e.g., phenol)
0.01
(e.g., /.inc)
0.1
(e.g., fluorene)
1
(e.g., pvrent)
10
(e.g., mercury)
>100
(e.g., PCRs)
<0.01
0
0
0
0
0
1
0 1
0
0
u
V
1
2
1
0
0
0
1
2
3
;o
CI
0
¦
2
3
4
10U
0
1
1
3
4
5
1.000
1
2
3
4
5
10.00U
2
3
4
5
100,000)
3
4
5
3-2
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Draft National Sediment Contaminant Point Source Inventory
For example, the sediment hazard posed by mercury is approximately 10 limes the hazard
posed by pyrene. This scoring system allows comparison of annual loads of chemicals that
vary in their hazard potential. For example, an annual load of 1,000 pounds of zinc is
approximately equivalent to an annual load of 100 pounds of fluorene or 10 pounds of
pyrene or 10,TOO pounds of phenol: each receives a HAZREL score of 2. These scores can
also be summed across aggregate units. For example, 20 facilities each releasing 100 pounds
of mercury per year (HAZREL score = 4) in a given watershed would yield a watershed
HAZREL score of 80 (20 times 4),
Chemical-Specific Toxicity Score
Sediment contamination is a function of the mixture and concentration of toxic pollut-
ants 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. Numerical effects-based, chemical-specific sediment chemistry screening values
have been used to assist analysts and managers in the evaluation of sediment chemistry data
and to identify and prioritize problem areas (Di Toro et al., 1991). The TOX score is one
component of the SHS. This chemical-specific value was calculated by taking the inverse
of the chemical's derived sediment chemistry screening value reported in milligrams per
kilogram (mg/kg). Because the inverse of the sediment chemistry screening value is used,
the TOX score increases in direct proportion to the toxicity of the chemical.
Several methods are currently available for developing sediment quality screening
values (USEPA, 1992b). Most of these methods require information on site-specific condi-
tions (field data) and chemical-specific properties. However, because field data are not
available for each point source discharge location, screening values for use in this analysis
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 program's effects range approach and the State of
Washington's apparent effect threshold approach use existing sediment chemistry and bio-
logical effects data from a variety of sites, and 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.
In this study, a combination of the equilibrium partitioning (EqP) approach and bio-
logical effects correlation approaches was used to estimate sediment chemistry screening
values for the protection of aquatic life. The theoretical bioaccumulation (TBP) approach
was used to estimate sediment chemistry screening values for human health assessments.
Appendix A contains a listing of all the calculated sediment chemistry screening values for
the chemicals of interest contained in the Point Source Inventory.
It is important to note that the certainty with 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
are to be used for screening purposes 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;
3-3
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Development at Sediment Hazard Stores
• Values may be overprotective or underprotective of actual site-specific sediment
because methodological and exposure conditions vary considerably.
• Values are general approximations of concentrations potentially leading to ad-
verse effects because data and assessment methods are continually being com-
piled and developed.
• Values are based on a composite of several different sediment assessment ap-
proaches and a variety of data sources, the application of which EPA has not
adopted or endorsed for use outside this and other screening-level analyses.
EPA has proposed sediment quality criteria (SQCs) for five chemicals based on exten-
sive data quality and quantity requirements and methodologies that have gone through exten-
sive peer review. The other estimated sediment chemistry screening values for additional
chemicals presented in Appendix A of this report do not represent proposed SQCs. The
sediment chemistry screening values were developed or compiled for the evaluation of Site
Inventory data. The remainder of this section provides a brief overview of the screening
values. The interested reader should consult the Site Inventory report and appendices (USEPA,
1996b) for detailed descriptions and explanations.
Aquatic Life Screening Values
The sediment chemistry screening values used to evaluate potential adverse effects to
aquatic life include theoretically and empirically based values. The theoretically based
values rely on demonstrated laboratory toxicity and physical/chemical properties of sedi-
ment to predict a concentration level that protects the benthic community from chronic
adverse reproductive or growth effects. The empirically based, or correlative, threshold
values rely on paired field and laboratory data to relate incidence of observed adverse bio-
logical effects to the dry-weight sediment concentration of a specific chemical.
The theoretically based screening values, limited to nonionic organic compounds, in-
clude the following parameters:
• Sediment Quality Criteria (SQCs): EPA (1993a, b, c. d, e) has developed draft
SQCs for five chemicals using the equilibrium partitioning (EqP) approach, which
involves 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 con-
tent. The EqP approach is described in detail in Appendix B of the Site Inventory
report. Draft SQCs are based on the highest-quality data available, which have
been reviewed extensively.
• Sediment Quality Advisory Levels (SQALs): SQALs were also developed
using the EqP approach, but the data used to derive the SQALs came from limited
sources and have undergone limited peer review.
For purposes of calculating sediment hazard scores for the chemicals with available SQCs
and SQALs, a default organic carbon content of 1 percent was used because of lack of site-
specific sediment information in PCS and TRI. In practical application, the organic carbon
content can vary a great deal, as can important other binding phases at any given site.
3-4
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I)r;il( Niitiiiiiul Si'diiiieiil Coiifaiiiiiiiint Point Source lim nhirv
The empirically based, correlative approaches used for the Point Source Inventory
include the following upper screening values. Each of these parameters has a correspond-
ing lower (more stringent) screening value that was not used in the development of TOX
scores and subsequent sediment hazard scores. The primary limitation to use of these val-
ues for chemical-specific analyses is the possible effects of other toxic agents that may be
present at the field site where biological effects are observed. The correlative approaches
tend to result in screening values that are lower than the theoretical SQCs and SQALs,
which address the effect caused only by a single contaminant.
• Effects Range-Median (ERM): Values above the ERM are defined as being in
the "probable-effects range" (Long et al., 1995). The ERM is the 50th percentile
of the distribution of measured concentrations associated with an observed ad-
verse effect.
• Apparent Effects Threshold-High (AETH): Developed by Barricketal. (1988),
the AET-high or AETH is the highest concentration at which observed adverse
effects demonstrated statistically significant differences from reference condi-
tions.
• Probable Effects Levels (PELs): Toxic effects were found to occur usually or
frequently at concentrations above the PELs (FDEP, 1994).
Human Health Screening Values
To evaluate the potential risk to human consumers of organisms exposed to sediment
contaminants, a theoretical bioaccumulation potential (TBP) was calculated. A TBP is an
estimate of the equilibrium concentration of a contaminant in fish tissue if the sediment in
question were the only source of contamination. At present, a TBP calculation can only be
performed for nonpolar organic chemicals based on the concentration of contaminant in the
sediment, the organic carbon content of the sediment, the lipid content of the fish, and the
relative affinity of the chemical for sediment organic carbon and fish lipid. The relative
affinity is a field-measured biota-sediment accumulation factor (BSAF). The TBP calcula-
tion and the selection of BSAFs are discussed in detail in Appendices B and C of the Site
Inventory report (USEPA, 1996b). Because data on site-specific conditions were not avail-
able from the PCS and TRI data sets, average default values for organic carbon content (1
percent) and lipid concentration (3 percent) were used in the TBP calculation in this study.
Human health screening values were derived by using EPA risk levels and solving the
TBP equation for sediment concentration. EPA fish tissue risk levels were calculated using
a fish consumption rate of 6.5 grams per day and an average adult body weight of 70 kilo-
grams, the same exposure parameters EPA uses to develop human health water quality
criteria. Cancer risk levels were calculated using recommended slope factors and a target
risk level of 10 Noncancer risk levels were calculated using recommended reference
doses and a target hazard quotient of 1. Example risk calculations and slope factors and
reference doses are presented in the Site Inventory report (USEPA, 1996b).
Chemical-Specific Toxicity Scores
The overall sediment chemistry screening value is the lower of the aquatic life screen-
ing value and human health screening value. The aquatic life screening value for a particu-
3-5
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Development of Sediment Huz:ird Scores
lar chemical was selected in the following descending order of availability: SQCs, SQALs,
ERMs, AETHs, and PELs. This selection hierarchy reflects the EPA preference for screen-
ing values that can reliably attribute adverse effects to the chemical of interest, especially
for a chemical-specific loading analysis such as this. As previously stated, the inverse of
the sediment chemistry screening value serves as the TOX score to produce a positive rela-
tionship between screening values and TOX scores. In other words, the more stringent the
screening value, the greater the TOX score.
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/waler partitioning subfactor (HLC score), sediment
adsorption subfactor (KOC score), and biodegradation subfactor (BIODEG score). The
potential for a chemical to accumulate in the underlying sediment upon discharge to surface
water depends greatly on site-specific characteristics such as sediment organic matter con-
tent, temperature, suspended particulate matter, and the lotic or lentic nature of the receiv-
ing water body. 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 parti-
tioning, and aqueous degradation subfactors was used. Three physical/chemical properties
for organic sediment contaminants were obtained for the chemicals in the inventory: the
sediment adsorption coefficient or K.^, the Henry's Law constant (HLC), and the aerobic
aqueous biodegradation half-life.
The two transport subfactors, air-water partitioning and sediment adsorption, are rep-
resented by chemical-specific HLC and K values, respectively. These subfactors were
treated in a manner similar to thai used in the pesticide hazard rating system devised by Pait
et al. (1992). Individual HLC and values were assigned scores ranging from 0.1 to 1.
These values were then multiplied to produce a score that represents the likelihood of trans-
port to the sediment.
The aqueous degradation subfactor is represented by chemical-specific aerobic bio-
degradation 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 value (i.e., the product of the two transport subfactor scores) to arrive at the final
FATE score.
Air-Water Partitioning Subfactor
The 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""' (atm-m3/molc) is essentially
nonvolatile, and a chemical with an HLC greater than 103 (atm-mJ/mole) will volatilize
rapidly from surface water. HLC scores were calculated according to the following steps:
3-6
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Draft National Sediment Contaminant Point Source Inventory
1. All values > 103 were assigned a score of 0.1.
2. All values < 3 x 10"T were assigned a score of 1.0.
3. All other values were assigned a score using Equation 4 to evenly distribute
scores across the range of values:
log(10-3)-log(//LC)
log(10°)-log(3 x 10~7)
* 0.9
+ 0.1
Equation 4
where:
HLC
HLC
= air-water partitioning subfactor and
= Henry's Law constant (atm-mVmole).
Sediment Adsorption Subfactor
Kk is a chemical-specific adsorption parameter that is largely independent of the prop-
erties of soil or sediment and can be used as a relative indicator of adsorption to such media.
Although a high K(ic value indicates that a chemical is more likely to partition to sediment,
it also indicates that a chemical may be less bioavailable. is highly inversely correlated
with solubility and fairly well correlated with BSAF.
U.S. EPA (1993b) recommends using the following regression equation to calculate
the organic carbon-water partition coefficient (Kk) from the octanol-water partition coeffi-
cient (K ):
v 0W/
'°8iA* = 0.00028 + 0.983 * log^^. Equation 5
Where available, K values were calculated from the latest EPA-rccommended octanol-
' oc
water coefficient (K lw) (Karickhoff and Long, 1995 ). Other Kcw values used included those
derived from the slow-stir flask method, which were selected preferentially over other labo-
ratory values reported in literature (USEPA, 19930-
KOC scores were calculated according to the following steps:
3-7
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Development of Sediment Hazard Scores
1. All values > 106 were assigned a score of 1.0.
2. All values < 102 were assigned a score of 0.1.
3. All other values were assigned a score using Equation 6 to evenly distribute
scores across the range of values:
KOCk„ = I" „ 0 9j + 0-1 Equation 6
• |_log(10 )-log(10 ) J 4
where:
KOC^.^ = sediment adsorption subfactor and
= organic carbon-water partition coefficient (L/kg).
Aqueous Biodegradation Subfactor
Although many physical and chemical 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 col-
umn. Ignoring other removal mechanisms is a conservative approach because it can only
overestimate rather than underestimate 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 equal in toxicity to or even more toxic than the parent, evalu-
ation of chemical metabolites was not considered in the hazard analysis. Aerobic biodegra-
dation 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)"' using the following
equation:
X = in(2) * 365 Equation 7
where:
X = loss rate constant (year)1;
ln(2) = natural log of 2;
tM = aqueous aerobic biodegradation half-life (days); and
365 = conversion factor (days per year).
Because other factors, such as deep burial, might become important over time, chemicals
with reported half-lives greater than 7 years were assigned a half-life of 7 years. This
results in the largest BIODEG score of 10. The BIODEG score was calculated by taking the
3-8
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Draft Nalionnl Sediment Cont.imimint Point Source Inventory
inverse of the loss rate constant so that more persistent compounds would have higher
values:
BIODEG = — Equation 8
The FATE score was calculated by combining the HLC, KOC, and BIODEG scores
according the following formula:
™ TEIciri = {BIODEG iCort) * (HLCic„) * (KOClctrt) Equation 9
Metals, which will not degrade or volatilize, were assigned a BIODEG score of 10 and an
HLC score of 1. The relative partitioning of dissolved metal between the water column and
the underlying sediment is a function of site-specific conditions, not inherent properties of
the metal. Therefore, metals were assigned a KOC score of 0.5, representing the midpoint
of all possible values.
Functions of Sediment Hazard Score Components
The overall general equation for the SHS is:
SHS = TOXieart * FATEieort Equation 10
where:
TOX
sane
"
(SCV)*1;
FATE
score
=
KOC * HLC * BIODEG ;
score jcore score
SHS
=
sediment hazard score (unitless);
scv
sediment chemistry screening value (based on screening
values in units of mg/kg);
KOC
icorc
=
sediment adsorption subfactor (unitless);
HLC
score
=
air-water partitioning subfactor (unitless); and
BIODEG
score
=
aqueous biodegradation subfactor (unitless).
The function of the sediment chemistry screening value in the SHS is to increase or
decrease the HAZREL 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 a sediment chemistry screening value less than 1 mg/kg has an SHS greater than 1 and
higher HAZRELs than ACLs. On the other hand, a chemical with a sediment chemistry
3-9
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Development t)f Sediment Hu/.itrtl Scores
screening value greater than ] mg/kg has an SHS less than 1 and lower HAZRELs than
ACLs. The magnitude of the effect on the HAZREL is in direct proportion to the magni-
tude of the 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 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)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 greater than 1, which
increases the HAZREL. 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, which decreases the HAZREL. 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 depend-
ing on the chemical's propensity to partition to sediment or volatilize from the water col-
umn. If a chemical is hydrophilic and has little propensity to bind to sediment, the HAZREL
will decrease by as much as one order of magnitude. Likewise, if a chemical has a strong
tendency to volatilize, the HAZREL will also decrease by as much as one order of magni-
tude. This relatively small adjustment was made because of the many mitigating site-spe-
cific factors that affect intermedia partitioning.
The sediment chemistry screening values 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, HAZRELs are primarily driven by ACLs and chemical
toxicity.
The sensitivity of the parameters used in SHS calculation, with the exception of K ,
are depicted in Figure 3-1. Note that 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 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 3-2 in three parts: one for the effect based on KOC
score (increase in K()c 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
bioavailability and lower SHS), and one for the overall Kk effect.
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 objec-
tive of performing a screening-level hazard analysis.
3-10
-------
Draft National Sediment Contaminant I*<«r»t Source Inventory
101
Freshwater Chronic Aquatic Toxicity Value
% OC ^
RfD
Body Weight /
Cancer Risk Level /
/
\
/
/
®
O)
C
re
c.
O 1
tn
x
0.5
0.3
0.2
\
Henry's Law Constant
* K
itant / \
/
/
/V
\
BCF
Fish Ingestion Rate
Cancer Slope Factor
Biodeg. Half-Life
/
\
\
/'
0 1
0.2 0,3 0 5 1 2 3
Parameter Change
10
Figure 3-1. Sediment hazard score (SHS)—Parameter sensitivity.
3-11
-------
Development of Sediment H.i/;ird Scores
¦2 «
o 1
(/)
z
(/)
0.5
0.3
0.2
0.1
0.1
\ Kqc in Equilibrium Partitioning Calculation
K/v Overal
Knr iri K,v. Score Calculation
0.2 0.3 0.5 1 2
Koc Change
Kq,. ¦ Organic Cartoon-Water Partition Coefficient
Figure 3-2. Sediment hazard score (SHS)—K^. sensitivity.
3-12
-------
Draft National Sediment Cont.imiiumt Point Source Inventory
Chapter 4
Results of Screening-
Level Hazard Analyses
T
JsLhe screening-level hazard analysis of Point Source Inventory data from the 1993 Toxic
Release Inventory (TRI) and the 1994 Permit Compliance System (PCS) can be used to
evaluate the release of sediment contaminants and to identify the chemical classes, water-
sheds, and industrial categories that may be associated with potential sediment quality prob-
lems arising from point sources. The analysis does not necessarily indicate where contami-
nated sediment problems have occurred or who is responsible. Further information to screen
watersheds can be obtained when the release data are compared to the Site Inventory data
evaluation.
This chapter describes how the Point Source Inventory data were prepared for the
hazard analysis and highlights the results by chemical, watershed, 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 B and C. Appen-
dix B contains a listing of watersheds (defined by 8-digit U.S. Geological Survey (USGS)
cataloging units) grouped by specific ranges of HAZREL scores. These groups are referred
to as priority groups in this report. Appendix C contains detailed information on chemicals
associated with the industrial categories evaluated in this analysis.
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. Of
the original 233 potential sediment contaminants analyzed as part of the Site Inventory, 122
were excluded from the hazard analysis because SHS could not be calculated or no data
were available for analysis. Table A1 in Appendix A contains a complete list of the remain-
ing 111 sediment contaminants participating in the hazard analysis.
Although the PCS and TRI data were not systematically checked for errors when the
inventory was developed, 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 bias the results. For this analysis, EPA defined
a highly suspect record as the release of any chemical in excess of one-half million pounds
per year. While feasible at large municipal treatment works such as Chicago Main or Blue
Plains in Washington, DC, experience in examining PCS records indicates that these ex-
tremely large surface water releases can be traced back to incorrectly reported concentra-
tion or flow measurements. Because incorrect flow measurements would have an impact
on all loadings reported for that facility, all data for 21 facilities from PCS were removed
from further analysis. Based on examining monitoring data reported for dioxin in PCS, all
4-1
-------
Results ol'Screening-Level Hazard Analyses
dioxin data were also excluded from the analysis. Many dioxin records were listed as
below detection, and thus treated as 7ero discharge. EPA had little confidence in the re-
maining detectable levels because of problems with measurement units and other concerns.
No facilities from TRI were removed from the analysis.
More than 25,500 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 contribute to sediment contamination. Releases of 111 different chemicals in-
cluding divalent metals (i.e., cadmium, copper, lead, nickel, and zinc); mercury; other met-
als; polynuclear aromatic hydrocarbons (PAHs); pesticides; polychlorinated biphenyls
(PCBs); and other organic compounds were analyzed. The 1993 TRI data have release
records for 60 of these chemicals, and the 1994 PCS data have release records for 108 of
these chemicals.
PCS records show that direct releases of sediment contaminants from 4,869 facilities
totaled nearly 19 million lb/yr in 1994. Based on 1993 TRI data, direct releases and trans-
fers to POTWs (multiplied by 0.25 to account for removal during treatment) from 3,432
manufacturing facilities totaled 7.3 million lb/yr. 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. Over 1,000 individual watersheds, as defined by USGS 8-digit cataloging
units, receive loads of potential sediment contaminants as reported by PCS and TRI. This
corresponds to approximately one-half of all watersheds in the United States. Individual
facilities are placed into 31 distinct industrial categories. These categories represent a broad
range of activities (e.g., POTWs, chemical manufacturers, textile mills, coal mines).
Analysis by Chemical
Table 4-1 presents the annual release, HAZREL, and HAZREL score for each of the
60 chemicals included in the hazard analysis for TRI data. The SHS and the number of
facilities reporting surface water releases or POTW transfers for each chemical are also
included in Table 4-1. Based on TRI data, xylene, nickel, and copper have the largest
aggregate HAZREL scores. Together with the next seven chemicals listed in Table 4-1
(lead, toluene, phenol, chromium, 1,1,1-triehloroethane, trichloromethane, and benzene),
all with HAZREL scores greater than 80, the top 10 chemicals represent more than 69
percent of the aggregate HAZREL score for data from TRI
Table 4-2 shows the corresponding information for the 108 chemicals included in the
hazard analysis for PCS data. Based on PCS data, zinc, copper, and nickel have the largest
aggregate HAZREL scores. Together with the next 10 chemicals listed in Table 4-2 (cad-
mium, silver, mercury, lead, chromium, arsenic, PCBs, benzo(a)pyrene, antimony, and
tetrachloroethene), all with HAZREL scores greater than 80, the top 13 represent more than
86 percent of the aggregate HAZREL score for data from PCS.
Several chemicals have large aggregate national raw loads and are released from a
large number of facilities (i.e., zinc and copper), whereas other chemicals (e.g., chlordane)
appear to represent a few isolated releases Tables 4-1 and 4-2 also present the distribution
of records by HAZREL score. The HAZREL score distribution is skewed to the right for
most chemicals. That is, most records indicate a low HAZREL score (i.e.. less than 3);
substantially fewer records have large HAZREL scores. This assessment transforms the
4-2
-------
Table 4-1. Analysis of TKI Data by Chemical (Sorted by Descending llAZKEL Score)
u
I
Number oT
Farlllllcji
Annual
Helen.so
(Ihtyr)
Distribution of HAZAIII. Scor« hy Facility
Total
HA7.REL
Score
I'hrmlfal LT01
lie
M
13
.S
94
OtliL'r
Trichloromeihanc
141
1.21- 01
602.141
7.:'h+U2
69
55
16
1
90
(Xln-r
Ben/ene
m
i n: 07
95,948
1 2ht03
134
37
18
3
82
Olhi'r
Tptnr.hlnroelhcnc
73
6 sk o?
37,901
7 SF*01
43
17
13
5
5 ft
Drvjlnnt V1iri.il
/in r
129
i ?k n?
92,*«r>
I 11-. + 01
K8
14
5
2
50
PAH
Naphthalene
121
1 41- (12
17,2)]'
5 7F+07
81
30
7
1
47
Other
Penl-'H:hlorophcnol
23
7 9F oi
2,824
2 2Ft01
3
9
3
K
39
Oilier
B i phenyl
64
? 6K 0 *
203,381
5 1K+02
18
16
K
}
38
Other
AcryJomU lie
47
4 7H-02
53,565
7 5K+03
26
9
9
•y
1
37
Other
TrichlorutMhene
12(1
1 7F 02
16,662
2 8F+02
91
7.5
3
I
34
Olhei
Xylene, o
28
1 5F-0]
6,743
1.0K+03
9
6
11
7
-
34
Oilier
Diethyl phthalntr
33
7.1 fc-02
75,866
5.4H+03
9
20
1
1
32
Silver
30
1.4K+00
802
1IH+03
6
18
4
?
-
12
Mercmy
Mercury
14
7.0R+00
271
1 9F+4>3
3
5
6
31
OtilL'T
Bis(2 eiltylheityl) phth;i!f»fc
58
2.7K 02
7,843
2 I K-M)2
14
IK
6
10
Olhei
OichkuucLhiiiie. 1.2
IS
1.8F-02
10,281
1OF+02
14
14
7
28
Divalent Melal
Cadmium
29
S2h 01
951
4 9F+02
13
7
7
2'
7.7
Mcl.il
Antimony
52
?..!5F 02
17X73
4.5F 102
35
10
5
2
76
Olhei
Tetrachlorixnediaoe
26
1 IF 01
1.872
2.4F+02
10
9
7
71
-------
Table 4-1. (Continued)
riieiulcal Class
L'hvinlcal
Number of
FudllUcs
SHS
ADMIft)
Keiea&e
(lh/yr)
Total
HA/.RK1.
Distribution of HA/RF.I. Score by Facility
Total
HAZRHI,
Score
0
1
1
3
4
5
Other
I>iChk>foben2enc. 1.2-
16
8.6E-02
9,872
8.5E+02
4
4
t>
2
-
22
FAll
Anthracene
1H
5.5E-01
741
4.1C+02
4
7
6
1
-
22
Other
Xylene, m-
13
1.6E-01
11.140
1.8E+03
2
4
5
1
1
-
21
Other
Xylene, p»
13
1 6E-01
8.679
1.4E+03
4
2
6
-
1
18
Other
TriChk»roben7.eiie. 1,2.4-
28
4.2E-03
43.813
1 8E+02
Ifi
7
5
-
-
17
Other
Cresols
37
I.4E-02
14.512
2 0E+02
24
10
2
1
-
17
Other
Dichiuropropanc, 1,2-
8
2.2E-01
4,812
1.1E+03
-
2
4
2
•
-
16
Metal
Arsenic
40
7.1E-02
1.731
1.2E+02
27
10
3
-
16
Other
TricMorocthanc, 1,1,2-
12
2.0E-01
2,430
4.9E+02
3
4
4
1
-
-
15
Oilier
Chlorobenzene
34
2.0E-02
5.651
1 lli+02
21
11
t
-
-
•
15
Other
Dimethyl ptitlialate
18
1.7E-02
33,101
5.6E+02
8
7
1
2
-
-
15
Other
Hex adi lot oben/ene
5
3.4F+00
539
1 8E+03
-
-
1
4
-
14
Other
l>i<. hluruiiiethanc
184
2.4F-04
273,711
6.6E+01
173
11
-
-
-
11
Other
Tciraeliloructhiinc, 1,1,2.2-
7
3 OF-Ol
2,969
8.9E+02
3
I
i
L
-
-
9
Oilier
OicNJurtibwti't'iie, 1,4-
7
8.3E-02
2,173
18E+02
2
2
3
-
8
Other
Hcxachlorohutadienc
4
1.9E-01
1,204
2.3E+02
1
1
1
1
-
-
6
Pcyicide
Chlordune
1
5.OR+02
28
1.4F.+04
-
-
-
-
-
1
5
Pesticide
HHC. ganiina-ZLindanc
?
2.1E+02
2
3 2E+02
-
-
1
1
-
5
OilUT
Dimettiylphr-ucil, 2.4-
ft
2.0F-02
1,509
3 0E+OI
7
3
1
-
-
-
5
(hher
Crvsol. in
H
I.4K-02
3,040
4.3E»01
4
3
1
-
-
5
PCB
Pnlyehlonnated biphe/iyls
1
2.9E+02
M>
1 9K+04
-
-
-
1
5
Other
Di n-butyl phihalale
28
5.5E03
5,830
X2E+0I
25
2
1
-
4
Pesticide
Meihonychlor
1
. 5.HE+01
5
2.9E+02
-
-
1
-
3
Other
Hcxachlontclhane
2
5.9E-02
291
1 7EtOI
1
-
1
-
, -
2
Pesticide
Heptachloc
I
5 HE+OO
13
7.1E+0I
-
1
-
•
2
Other
ClCSOl. 0-
6
3.5E-03
10.394
3.6E+0I
5
'
2
-------
Table 4-1. (Continued)
Chemical CIh.hh
rhcmlol
Number »f
Facilities
. SHS
Annual
Rrlro.%e
(IWyr)
Total
HA/RFT
UlslrlhutltD of HaZRF.L Scorr by Facility
Total
HA/RKI
Scurf
0
1
2
3
4
S
Oilier
Cresol. p-
9
roK-w
717,420
Mfi+01
H
1
-
2
Olhci
Dicliloioljtii/ene, 1,1
4
I W. 02
V23
9.9K+00
2
2
n
Oihcr
Butyl benzyl phlhalale
A*
I.5E-03
4,950
7.4E+00
44
1
-
-
1
Other
Klhylbeiucnc
220
2.8E-04
29,600
HJIi+00
219
1
-
-
I
Other
Acetone
469
J.5E-06
3,064,R69
i.in+oi
469
-
0
Other
Tnchlorofluoromeihane
9
2.8L-05
1,700
4.8H-02
9
•
-
-
-
0
Oliier
Meihyl ethyl ketone
254
5.41:07
386,356
2.IK-01
254
-
-
0
Oiher
Dibcnzofuran
5
7.31; 03
136
9.9K-0I
5
-
-
-
-
•
0
-------
Table 4-2. Analysis of PCS Data by Chemical (Sorted by Descending IIAZREL Score)
Chemical Cla**
Chemical
Number of
Facilities
SIIS
Annual
Release
tlbfyr)
( Total
HA/kKL
Distribution of HAZRKL Score by facility
Tula!
ha/.rkl
Score
•
1
2
3
4
5
Divalent Metal
Zinc
3,018
1.2R-02
10,134,441
I2E+05
1,478
946
449
112
33
-
2.312
Divalent Metal
Copper
2,765
1.9E-02
3,123.697
5.9E+04
1,633
780
283
57
12
-
1.565
Divalent Metal
Nickel
1,320
9.7R-02
1,014,946
9. BR+04
463
431
320
92
13
1
1,404
Divalent Metal
Cadmium
1,153
5.2E-0J
188.980
9.BK+04
546
363
188
47
8
1
917
Meiai
Silver
675
ME+00
53S.437
7.51:+05
179
197
214
63
20
2
904
Mercury
Mercury
749
7 0E+00
28,592
2 Of:+05
269
233
172
62
9
4
819
Divalent Metal
1 >eud
2,018
2.3H-02
654,90)
K5H+04
1,491
376
128
21
2
-
703
MeLiI
Chromium
1,456
1 4K 02
525,942
1 4fc'-*03
1.061
301
86
7
I
-
498
MeLiI
Aisunic
448
7 1H 02
504,168
,3 M»«04
265
138
72
20
2
1
355
PCH
Potychlnrinated hiphcnyls
62
? QH*0?
1,611
4 7Kt05
12
6
13
14
n
4
146
PAH
Beis/.u{a)pyrene
54
4:t*oi
476
2 OK-t04
3
13
10
22
6
-
123
McLil
Aulhnony
138
7.5E-02
255,5 32
64H+03
78
37
18
4
1
89
Other
Tetrachloroethene
163
6.5H-02
117,021
7.6E+03
101
41
17
3
1
-
88
Othei
Bis(? eihylhcxyl) phihalatc
180
2.71* -02
41,96^
1.1H+03
124
39
14
3
-
76
Other
Xylenes
277
I.6H-0I
18.816
3 Oh+03
228
36
8
4
1
68
Pesiietdc
RHC, paiiunn-ZLindanr.
32
2.IK+02
140
2 9H+04
6
4
10
8
3
1
65
PAH
Renzo(a>anthracenc
35
1IH+01
317
3.8R+03
8
6
8
13
61
PAH
Ren/.n(h)fhiorftnthcnc
34
4 8K+00
423
2 0K+O3
5
0
13
7
-
56
Oth«r
Hexachloroben/r.ui*
40
3 4E+00
327
11K»
-------
Tabic 4-2. (Continued)
4^
Nnmbrr of
Facilities
Annual
Release
Clh/yr)
Distribution of I1A/REL Score by Facility
Total
HA/ltKL
Score
Chemical Class
Chemical
SIIS
IIA/-HKI.
0
1
2
3
4
5
PAH
Dili an? ) anthracene
U
2 2K+02
58
1 M;+04
-
-
3
4
4
-
34
Other
Den/ertc
458
1 Mi 02
88,624
1.2H+03
437
10
9
2
-
34
Pesticide
DDT
14
2.1 TC+02
391
8 2H+04
3
1
5
3
2
30
Other
Dichloropropane. 1.2-
40
2.21-: 01
3.544
7.8K+02
18
16
4
2
-
30
Oihfr
Toluene
430
2.51- 03
155.171
3 0K+02
410
11
8
1
-
30
Pes tic ide
ToxaplKiic
15
4.6K+01
96
4.4H+03
2
3
5
4
1
29
Pcsiic ide
Dieldrin
12
1.6U+03
Ml
6 0H+05
1
3
2
4
1
1
28
PAH
Chrysene
33
I.0H+O0
296
3 OH+02
14
10
9
-
28
Other
Trichtorocthanc. 1,1.2-
50
2.0I- 01
698
1 4H+02
2H
n
5
-
•
27
Other
Penlachlorophenol
32
7.9I-: 0!
1.395
1 1H+03
14
10
7
1
-
27
PAH
Anthracene
32
5.51'. 01
339
t 9K+02
n
II
H
27
pen
PCB-1?42
16
2.9H+02
5
1 6U+01
2
6
3
5
-
77
pen
PCB-P48
14
2.9H+02
n
3.!Fi+03
2
4
4
3
I
-
25
PAH
[udenn( I,? ,3-cd)pyrene
12
I3K+01
fil
8.0Kt02
7
3
3
4
. -
21
PC?H
PCB IOHS
12
7 9Kt02
8.3K+02
2
\
A
4
21
PA H
Phenurttlticrie
45
iM-: oi
2 ft ,3 6 2
1.0F+01
7.9
14
1
1
20
Other
Dichluiocthiiiie, 1,2
K9
1 HH 0?
X.700
1.6(£+(K
71
12
4
20
PCH
PCB -1254
13
2.9I-+07
7.7R+02
3
1
\
20
Other
Dichlorobeii/erie, 1,2
44
8 Mi 02
1,402
UK.+02
29
11
4
19
PCB
PCH-UfiO
12
2.9 KiO?
•/
7.2F+02
2
4
3
-
19
PesuiciJe
I H)D
il
ion tin
70
1.8H+04
4
1
3
2
1
18
Other
Dilhimuljcri/efie, 1,4-
50
« ^1* 02
1,492
1.2F+02
34
14
2
18
PCB
PCB 1221
11
2.9I«»02
3
9.6E+G2
7
3
3
J
18
PCB
PCB-I232
\\
2 9R+02
>
7 2H+02
n
3
3
4
18
Pes lie: idc
DDK
11
J 41-*07.
1,145
J.9E+05
4
1
4
i
1
17
Other
HexuchluiulHJtjdiene
15
I.9K 01
4S5
K.6E+01
20
14
\
Hi
-------
Tabic 4-2. (Continued)
Chemical Class
Chemical
Number or
Facilities
SHS
Annual
Release
iibfyr)
Total
HAZKtl,
Distribution of HA'ZJtEL Score by Facility
Total
IJAZREf.
Score
i
I
2
*
4
5
Pcslickk-
Aldnn
14
4.5K+02
2
7.3K+02
5
4
4
1
-
-
15
Oilicr
Acrylonitnle
41
4.7E-02
1.784
8.4E+01
29
10
2
-
-
14
0 thcr
Diethyl phftalate
43
7.IE-02
4.377
3.1E+02
33
8
1
1
-
13
PAH
Fluorcne
35
1.2E-0I
422
5.1E+01
23
11
1
-
13
Uther
PibromochioromcihdiK
3ft
2.1K-02
10,335
2.2H+02
28
tf
1
1
-
13
PA II
Fluoranlhene
42
1.2E-01
373
4.515+01
29
13
-
-
-
13
Pesticide
BHC. alplia-
10
2.6b.+02
30
7 9E+03
5
3
1
1
-
13
PAH
Acenaphthylrne
3]
1.2H 01
394
4.7K *01
20
10
1
12
Pesiicidc
Hcpiachlor epoxide
1!)
3C5K+0?
2
6 3K+02
4
1
4
1
12
Pesticide
BHC, heia-
- 10
2 4K+0?
2
4 SH + 02
5
4
i
11
Oiher
Teirachloroo.thane, 1,1,2,2-
14
3.OK 01
614
i XH*m
7
s
}
1
10
0 Llicr
Nitrosodiphcnylnmine. N-
12
4.4K 01
2,329
1 OK *03
6
4
1
I
9
PAH
Accnaphthenc
3H
4.9H 02
793
3 9K *01
31
6
I
H
PAH
Bcn/.o(ghi)perylcne
12
8.0K-OI
65
5 ?K*01
6
4
t
*
PfiSllCKlf
Hepiachlor
14
5.KK+00
56
12K+02
10
T
!
3
7
Peslicuie
Eridosulfan. alpha
12
3.7K*01
3
9.7 K+01
7
3
2
-
7
Olhttr
HenachhmMihime
32
1.9K 02
377
2-2R+01
26
6
-
6
Pesticide
Rndrin
20
9 3K 01
86H
R.I K +02
16
3
1
6
Other
Dichlorurnelhanr.
212
2 4K04
- 175.75S
4.2K+0]
207
1
1
6
PAH
Naphthalene.
J22
J.4K-07
5J?7fi
7.4K + 01
11K
1
1
S
Olher
Chloro benzene
-iS
2.0E 02
1.364
2 7K*01
50
5
-
S
Pesticide
Mcihoxychlor
1
5.8E+01
99
5 7Kt03
I
4
Other
Tribromomcthsine
22
3.OK 02
4.611
l.4K+<*2
20
1
1
4
Pcslicidc
Diazin«n/5Spccii;icide
1
9.7H*0?
A
Y6H+03
-
1
4
Other
Phenol
1 .*iK
1 1K-03
14.24K
l.Ah+01
155
3
-
3
Pesticide
bndosulfan mined Isomers
H
3.4 K+00
•)
I.7K+01
9
1
1
-
-
-
3
-------
Table 4-2. (Continued)
\o
Number or
Facilities
Aanual
Release
rofluorc methane
9
2.8E-01
7,086
2.0E-0I
9
0
Othei
Isophoione
15
2.OK 04
403
8.IE 02
15
-
0
Olher .
Methyl ethyl ketone
4
Y4K 07
29
I.6K OS
4
-
0
Other
Hutyl benzyl pliiiiulntf
20
1 5H 03
316
4.7E 01
20
0
Olher
Xylene, o-
13
1 5K 01
2
3 2K 01
13
-
0
Other
Ciesol, o
I
3.5K 01
0
I.7E 03
I
-
0
Oilier
IctiuLhlorob^n/.ene, 1,2.4,5
I
4.5 E 02
0.
l.HE Oi
i
-
0
Oilier
Kihy!hi:iv/.ene
201)
2.KK (H
S.X30
l.6E«
200
0
Other
Xylene, p
12
l.fth 01
3
5.4E 01
12
0
Othei
Cicsol, p-
I
6.5 h 0*1
ft
3.8 E 04
1
0
Oliver
Xylene, in
9
I.6K 01
\
9.9E 02
9
0
Other
Di a octyl phthalate
18
l.HE 02
1H4
3.3E+00
IK
0
Other
Tiit;hk>i'obcn/4nc, 1,2,4
4!
4.2E oi
ftftS
2.8E+00
41
0
Other
Dimethyl.phthalate
HI
1.7K 02
ios
5.2E+00
31
0
Oth a
Diben/ofurdJi
I
7.HE 03
43
3.IE 01
1
0
Other
Uichlmocthene, trans 12-
H.7K Oft
5.9E 03
68
0
Other ^
Dichluiobcrt/ciie, 1,'J
.14
,9E 02
292
5.6E+00
34
0
-------
Table 4-2. (Continued)
I'lieinhil Cla.o
Chemical
Nanbfr of
Facilities
SHS
Annual
Release
(Ib/yr)
Total
HAZKKL
LMstribalUn »f HAZRh'L Score by facility
Total
IIA/REL
Score
9
1
2
3
4
5
Prolicide
F)HC, technical grade
2
4.8(;+Ol
0
6.9K-01
2
-
-
0
l)ihcr
Pcniachloro benzene
1
1.6K-0J
0
6.4E-03
1
-
0
Pesticide
Mircx/LXxhtorane
1
9.4H+0I
0
3.7H-01
1
-
-
-
-
0
Pesticide
ChlorpyrilWDursban
2
' 5.4 E -02
10
5.5E-0]
2
0
-------
Draft National Sediment Contamination Point Source Inventory
HAZREL for each analyzed record to a HAZREL score from zero to five representing the
magnitude of the SHS * ACL product. This approach minimizes the impact of a small
number of very large release records that account for the majority of HAZREL and appro-
priately focuses attention on chemicals with a large number of potentially significant re-
leases. The results for the DDT metabolite DDE illustrate this point. The HAZREL is very
large, yet appears to be caused by a single release record. Although not ignoring the poten-
tial local importance of this individual release, the total HAZREL score reflects the overall
national significance of point source DDE discharge.
Aggregate raw loads and HAZREL scores for individual chemicals are grouped by
chemical class to determine which types of chemicals cause the greatest potential sediment
hazard. Chemical classes are assigned in the following manner:
Divalent Metal: This group comprises five metal species (cadmium, copper, nickel,
lead, and zinc) that are typically associated with acid-volatile sulfide (AVS). These
metals have sulfide solubilities smaller than that of iron sulfide, making them less
bioavailable as long as the AVS molar concentration (reservoir of sulfide anions in
anoxic sediment) exceeds the sum of the molar concentrations of the simultaneously
extracted metals.
Mercury: Mercury also has a sulfide solubility less than that of iron sulfide; however,
mercury was not included with the other AVS metals because of the complicating
factors of methylation in sediment and subsequent bioaccumulation. Unfortunately,
the sediment chemistry screening value does not account for the effects of this
bioaccumulation potential.
Other Metal: This group includes the remaining metals evaluated: antimony, ar-
senic, chromium, and silver.
Pesticide: This group includes chemicals that are usually large, complex, and manu-
factured to be biological inhibitors.
Polynuclear Aromatic Hydrocarbon (PAH): This group includes all polynuclear
aromatic hydrocarbons, including those which are halogenated.
Polychlorinated Biphenyl (PCB): This group includes all measured PCBs whether
reported as total PCBs or as one of seven aroclors. PCBs are highly toxic, highly
bioaccumulative, and highly persistent.
Other Organic: This group includes the remaining organic chemicals not classified
as pesticides, PAHs, or PCBs.
Table 4-3 depicts raw loads, HAZREL, and HAZREL scores by chemical class for
TRI data. The TRI data show that other organic and divalent metal categories represent
about 95 and 4 percent of the annual release, respectively. These same categories represent
54 and 36 percent of the HAZREL score. Metals (antimony, arsenic, chromium, and silver)
account for 6 percent of the HAZREL score while less than 1 percent of the annual release.
All other chemical groups account for less than 3 percent of the total HAZREL score for
TRI data. Table 4-4 depicts raw loads, HAZREL, and HAZREL scores by chemical class
for PCS data. In contrast to the TRI data, divalent metals dominate the raw load and HAZREL
4-11
-------
Results (il'StTt't'iiiuy-lHn/.;ir
-------
Draft National Sediment Contaminant Point Source Inventory
scores are summed according to USGS cataloging units (8-digit code). There are more than
2,100 cataloging units (watersheds) in the United States.
Based on the data from TRI and PCS, a total HAZREL score was computed for 733 and
861 watersheds, respectively. For watersheds represented by both TRJ and PCS the higher of
the two scores was applied. This approach resulted in a total HAZREL score for 1,020 water-
sheds. Selecting the maximum HAZREL score, rather than adding the results, eliminates
problems associated with double-counting releases; however, this approach may underesti-
mate total releases and the "true" HAZREL score. Total HAZREL scores at the watershed
level ranged from 0 to 312, although few were above 100. To divide individual watersheds
into groups based on releases of sediment contaminants, EPA simply created quintiles within
the 0 to 100 range. Watersheds with a total HAZREL score from 81 to 100 were assigned to
priority group 1, or the first quintile. All watersheds with total HAZREL scores greater than
¦ 100 were also placed in the first quintile. Priority group 2 watersheds have a HAZREL score
of 61 to 80. Priority group 3 watersheds have a HAZREL score of 41 to 60, and priority group
4 watersheds have a HAZREL score from 21 to 40. Priority group 5 watersheds have a
HAZREL score from 1 to 20. Watersheds with no data or a HAZREL score of zero were not
assigned to a priority group. Figure 4-1 presents the watersheds in the contiguous United
States based on HAZREL score for priority groups 1 through 4.
Table 4-5 summarizes this information for each EPA region. The majority of priority
group 1, 2, and 3 watersheds are in EPA Regions 2 and 5. Of the 1,020 watersheds evalu-
ated, 17 watersheds were placed in priority group 1, 19 watersheds were placed in priority
group 2, 29 watersheds were placed in priority group 3, 87 watersheds were placed in
priority group 4, and 672 watersheds were placed in priority group 5. The remaining 196
watersheds had a HAZREL score of zero and were not assigned to a priority group. Appen-
dix B contains a detailed table listing all of the 824 watersheds assigned to the 5 priority-
groups and includes information on the predominant chemical class and predominant in-
dustrial category associated with that chemical class. The following is a list of the 17
watersheds assigned to priority group 1:
Watershed Name
State Location
Narragansett
MA, RI
Lower Hudson
NY, CT, NJ
Hackensack-Passaic
NY, NJ
Sandy Hook-Staten Island
NY, NJ
Northern Long Island
NY
Southern Long Island
NY
Middle Delaware-Musconetcong
PA, NJ
Lower Delaware
PA, NJ
Schuylkill
PA
Delaware Bay
NJ
Detroit
MI
Niagara
NY
Seneca
. NY
Upper Ohio
WV, PA, OH
Lower Mississippi-Baton Rouge
LA
Buffalo-San Jacinto
TX
San Francisco Bay
CA
4-13
-------
Priority
Group
IIA7RKI
Score
Figure 4-1. HAZREI, score by watershed.
-------
Drul'l Niitiomil Sediment ('onlnminmif Point Source Inventory
Table 4-5. Number of Watersheds in Each Priority Group by EPA Region>,b
Prioriljr
G roup
EPA Region
Total Watersheds'
1
2
3
4
5
6
7
8
9
10
i
2
[0
4
0
2
2
0
0
1
0
17
2
0
2
i
4
11
0
0
1
4
0
19
3
2
7
5
4
10
2
2
0
4
0
29
4
7
9
U
24
26
5
2
3
5
6
87
5
27
29
69
182
134
111
75
47
32
29
672
TOTAL
38
57
90
214
185
120
79
51
46
35
824
"Watersheds may be reported in more than one EPA Region.
'Watersheds with no reported data or a HAZREL score equal to 0 are not reported.
'Total watersheds will not equal the sum of the Regional v alues because watersheds may be located in more than one EPA Region.
The general relationship between annual point source releases and results of the Site
Inventory evaluation demonstrate a co-occurrence of active discharge of sediment contami-
nants and evidence of sediment contamination. Figure 4-2 depicts this relationship by plot-
ting the percent of monitoring stations with a high (Tier 1) or intermediate (Tier 2) probabil-
ity of contamination in a watershed, as ascribed in the Site Inventory, versus the watershed
HAZREL score. Only those watersheds with at least one Tier 1 or Tier 2 station from the
Site Inventory evaluation and a HAZREL score above zero are plotted. In watersheds with
HAZREL scores greater than 50, at least 70 percent of all monitoring stations within the
watershed exhibit some degree of contamination. Watersheds with relatively low HAZREL
scores vary greatly in the extent of contamination, demonstrating Ihe importance of con-
taminant sources not documented in this study, such as historical releases and nonpoint
sources.
Watersheds with high HAZREL scores are more likely to be designated as areas of
widespread potential sediment contamination (APCs) in the Site Inventory evaluation. In
Figure 4-2, APC watersheds are plotted as dark circles, whereas all other watersheds are
plotted as cross marks. Overall, approximately 10 percent of watersheds receiving point
source discharges are identified as APCs. However, it is apparent that the fraction of APC
watersheds increases as the HAZREL score increases. In fact, APC watersheds constitute
75 percent (12 of 16) of priority group 1 watersheds. Figure 4-3 further illustrates this
relationship. For priority groups 2 and 3, 37 and 35 percent of the watersheds are APCs,
respectively. For priority group 4, 21 percent of the watersheds are APCs. For priority
group 5, only 8 percent of the watersheds are APCs. Less than 1 percent of the watersheds
with a HAZREL score of zero are APCs.
While this analysis does not imply that point sources caused the in-place contamina-
tion, it emphasizes the potential significance of contaminant releases in areas already con-
taminated. There are many sources of sediment contaminants in watersheds, both active
and historical, point and nonpoint. This assessment identifies specific watersheds where
active point sources might play an important role. To promote natural recovery of contami-
nated areas, active dischargers must be adequately controlled to ensure that their releases do
not perpetuate contamination problems.
4-15
-------
Results of Screening-Level liu/.;ird Analyses
Q
LU
g£
=-o
z _
to cc
2U.
Oh
b w
£S
ost
l_ en
z2
LU <
yo
100
90
eo
73
60
50
40
30
20
10
0
II i 1 % 1
• •
•
•
fSFF?
t *+
.• Ii
• +
•
+.++ *
|
•
+ +4
iP-V <
Whm- + +
¦bvT
f 4-
+
+
50
100
150
200
250
300
350
• HAZARD SCORE BY WATERSHED
{largesi ol PCS or TR] Haza'd Score)
APC Watersheds + Other Watersheds
Figure 4-2. Comparison of Site Inventory evaluation to HAZREL score by watershed: percent of
stations classified as Tier 1 or 2 as a function of HAZRGL score.
Analysis by Industrial Category
Facility-level HAZREL scores for chemical releases were summed by industrial catego-
ries, as assigned based on the primary SIC code reported in PCS or TRI. There are 31 indus-
trial categories overall, covering a broad range of activities. Table 4-6 lists these industrial
categories by descending HAZREL score for TRI data. Table 4-7 presents the same informa-
tion for PCS data. For TRI data, metal products and finishing, primary metal industries,
petroleum refining, and industrial organic chemicals account for 67 percent of the HAZREL
score. For PCS data, sewerage systems (i.e., POTWs), other public utilities, metal products
and finishing, and industrial organic chemicals account for 80 percent of the HAZREL score.
POTWs alone account for 62 percent of the HAZREL score. For PCS, the dominant indus-
trial categories are also the ones required to perform the most monitoring. Thus, these results
reflect data availability as much as relative sediment hazard potential. Only five TRI facili-
ties, but a significant number of PCS facilities (198), do not fall into the defined industrial
categories or.do not report a primary SIC code. These facilities are listed as "Nonclassifiable."
Tables CI and C2 in Appendix C present HAZREL scores grouped by chemical for
each industrial category for TRI and PCS, respectively. The number of facilities within the
industrial category discharging each chemical, the raw load (lb/yr), and HAZREL are also
presented. These tables are not comprehensive lists of all chemicals discharged from all
facilities, but are limited to industrial category-chemical combinations where the HAZREL
scores exceed 0. Tables 4-6 and 4-7 also present the number of facilities in each industrial
category. Most of the PCS facilities (38 percent) included in the hazard analysis are POTWs,
with other public utilities, other trade and services, metal products and finishing, and pri-
mary metal industries also well represented.
4-16
-------
Draft National Sediment Contaminant Point Source Inventory
Q
LU
X
w v;
x &
l5 y
> n
t/i a:
z w
Oh
b M
80)
Figure 4-3. Comparison of Site Inventory evaluation to HAZREL score by watershed: (a) percent
of stations classified as Tier 1 or 2 as a function of HAZREL score, (b) percent of watersheds that
are classified as APCs by priority group.
4-17
-------
Results of Screening-Level Hazard Analyses
Table 4-6. Analysis of TRI Data by Industrial Category (Sorted by Descending HAZREL Score)
Industrial Category
Nu mher
uf Facil.
Annual
Release
f Ib/yr)
HAZREL
Distribution of HAZREL Score'
HA7.RKL
Score
0
i
2
3
4
5
Metal Prodjcls and Finishing
1,501
508,725
l.3E*04
1,838
565
99
13
1
-
805
Prnary Metal Industries
488
289.375
2.4E+04
60S
259
56
10
1
416
Petrolcjm Refining
12«
755,797
I.HK+04
333
! 27
92
16
8
-
39 *:
lr.du-.a-ia! Organic Chemicals
244
1,747,MM
2.9F-04
454
90
50
13
2
1
242
Other Chemical Products
215
82.406
4.5E+03
386
63
34
4
1
147
Industrial Inorganic Chemicals
61
98,805
6.2 E^ 03
85
25
34
14
135
Paper aod Allied Products
170
1,515,980
1.1E+03
299
83
22
1
-
130
PUsiic Matcr.als and Syntheses
140
385,059
2.4E+03
232
35
31
4
•
109
Textile Produce
70
272,467
7.: E-03
33
18
23
8
2
96
Pharmaceuticals
84
1.368,481
5 IE—03
139
31
13
8
1
85
Lumber and Wood Products
52
10,766
2.4E+03
63
23
8
8
¦
63
Pestic ^des
24
7,465
9.6E+02
4?
13
4
3
30
Rubber and Plasties Procucis
Si
9*7,542
9.9E+02
99
20
3
1
29
Fooc and Kindred Product.*
21
23,427
2.4F*02
8
10
<;
-
20
Furniture and Fixtures
20
10.4S2
1 ftK+02
3H
7
6
19
Slnne, Clay, urn! Glass Products
44-
21,6'.9
2.4E+02
4fi
10
2
1
17
Leather ar.d LejJie: Prodv;Jl>
iy
5.257
K6E+01
14
6
3
-
-
12
Peaoleutn «snc Coai Pcixiucis
13
i 19,502
7.1 E+o:
28
3
3
-
9
Piinung and Pjh'ishin
37
3.32.?
3.2E+OI
54
6
8
Nor.da ss;fiable
5
1.150
3.6E+01
n
3
2
7
Otlitf Trade and Semces
9
922
2.3E+0!
24
5
5
Tobacco Prodtcts
1
51
2.0E-0I
4
-
-
0
"Facilities are counted more than once since facilities may report loadings for more than one chemical.
Most of the TRI facilities (44 percent) are metal products and finishing operations.
Primary metal industries, industrial organic chemicals, and other chemical products repre-
sent another 14,7, and 6 percent of the represented facilities, respectively. Some industrial
categories are not well represented in either PCS or TRI. This limited representation could
he 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 re-
porting requirements for TRI, or not having release records for pollutants retained in the
hazard analysis.
Conclusions
EPA conducted the screening-level sediment hazard analysis of the Point Source In-
ventory data to obtain more information about potential sediment contamination and its
sources, and to prioritize chemicals, watersheds, and industries for further evaluation. The
inventory is limited by the quality, quantity, coverage, and bias of the release data in TRI
4-18
-------
Druft National Sediment Contaminant Point Source Inventory
Table 4-7. Analysis of PCS Data by Industrial Category (Sorted by Descending HAZREL Score)
Number
of Facil.
Annual
Rel2
22
9
7
-
23
Nonnetal.ic Mineral Miring
15
4,456
: 1E+03
21
10
3
1
-
IV
Ljir.her and Wood Products
23
7,494
8.7E+G2
38
7
n
1
-
14
Stane, C ay. and Glass Products
3fi
5,970
2 0E+02
67
7
1
-
-
13
Furniture and Futures
7
y57
8.6E+01
22
5
2
-
9
Leather ind Leather Product*
10
5,678
8.0F.+01
3
3
9
Piin'.nj? ar.d Publishing
5
840
8.4E+01
8
6
1
-
8
Coal Miring
5
603
5.3E+0!
7
4
f
-
6
Petroleum and Coal Produces
11
14.712
1.5K-03
16
• "
1
1
6
Construction
3
104
S.7KtfK)
V
1
-
Oil and Gas ExL'-wtion
fl
213
4.9F.+00
17
1
-
1
Grain Prodjct:on
I
62
7.6F-0
2
0
"Facilities are counted more than once since facilities may report loadings for more than one chemical
and PCS. The hazard analysis is limited by the lack of consideration of site-specific infor-
mation, the lack of pollutant transport analysis, and the uncertainty associated with the
components of the chemical-specific sediment hazard scores. For these reasons, the results
of the hazard assessment should be used for screening purposes only, not as a definitive
judgment regarding the most significant sediment contaminants, the most affected water-
sheds. or the most important industrial categories.
4-19
-------
Results of Screening-Level Hazard Analyses
This study indicates that point source releases of sediment contaminants to surface
water are ongoing and, in many cases, coincident with areas where there is evidence of
contamination. TRI and PCS contain records of approximately 25,500 individual point
source releases of 111 different sediment contaminants into over 1,000 watersheds across
the country from 31 distinct industrial categories. Direct releases from 4,869 facilities in
PCS totaled nearly 19 million pounds per year in 1994. Based on 1993 TRI data, direct
releases and transfers to POTWs (multiplied by 0.25 to account for removal during treat-
ment) from 3,432 manufacturing facilities totaled 7.3 million lb/yr. Assuming that there is
some overlap between TRI and PCS, these databases together indicate that major municipal
and industrial facilities release about 20-25 million pounds of sediment contaminants annu-
ally.
This analysis indicates that metals and organic chemicals other than pesticides, PAHs,
and PCBs constitute the most widespread potential sediment hazard from point sources.
Although important in some instances, releases of PAHs, pesticides, and PCBs appear to be
less prevalent. Site Inventory evaluation results indicate that other organic chemicals, as a
class of pollutants, are not as significant as other classes. The potential sediment hazard
posed by metals represents the most substantial area of agreement between the Point Source
Inventory hazard assessment and the Site Inventory evaluation, on both an individual chemical
basis and a watershed basis. The Point Source Inventory and Site Inventory both rely on
correlative, statistically based threshold values to evaluate the potential adverse effects of
metals in sediment. Although these correlative thresholds are useful, they are limited in
their application because they do not directly address the bioavailability of metals in sedi-
ment. This report further emphasizes the need for the development of practical assessment
tools to evaluate the bioavailability and toxicity of metals in sediment.
The watersheds identified in this analysis represent areas where sediment contami-
nants are discharged; they do not necessarily represent locations where sediment contami-
nation has occurred or will occur. Watersheds, as defined by the USGS 8-digit cataloging
unit, can represent large areas encompassing large mainstem rivers and small tributary streams
that vary greatly in size, shape, and physical/chemical charactenstics. Transport, sediment
partitioning, and sediment accumulation—whether in locations very close to the point of
discharge or far downstream—depend on many factors, including streamflow, stream ve-
locity, geomorphology, particle size distribution, organic carbon content, suspended sedi-
ment load, temperature, pH, and salinity. However, comparison with existing sediment
monitoring data provides further means of screening watersheds where point sources are
more likely to contribute to contamination.
A watershed with a high H AZREL score is more likely to be designated as one of the
96 areas of potential widespread sediment contamination (APCs) in the Site Inventory evalu-
ation. The draft EPA report Environmental Goals far America With Milestones for 2005
(USEPA, 1996a) proposes that the Agency, together with its state partners, adequately con-
trol point sources of contamination over the next 10 years in 10 percent of the watersheds
where sediment contamination is widespread. Specifically, major facility discharge limits
need to be evaluated and appropriately revised in watersheds at greatest risk from active
discharges. The objective of these evaluations should be to determine whether existing tech-
nology-based controls or water quality-based discharge limits protect downstream sediment
quality to the degree necessary for natural recovery of contaminated sites. EPA is currently
developing the methodology to relate point source contributions to sediment contaminant
concentrations. This methodology is needed before developing permit limits protective of
4-20
-------
Draft National Sediment Contamination Point Source Inventory
sediment quality. This report identifies 29 watersheds that are both APCs from the Site
Inventory and in HAZREL priority group 1, 2, or 3 from this analysis. These watersheds
should be considered for further evaluation and necessary action to achieve the milestone in
EPA's Goals Report. .
4-21
-------
-------
Draft National Sediment Contaminant Point Source Inventory
References
Adams. W.J. 1994. Director, Environmental Toxicology, Analytical Bio-Chemistry Labo-
ratories, Inc.. Columbia, MO. Letter to Catherine Fox, U.S. Environmental Protec-
tion Agency, Washington, DC. April 30. Subject: Review of March 9, 1994, Draft
National Sediment Contaminant Point Source Inventory.
Barrick, R., S. Becker, L. Brown, H. Beller, and R. Pastorok. 1988. Volume 1. Sediment
quality values refinement: 1988 update and evaluation of Puget Sound AET. EPA
Contract No. 68-01-4341. Bellevue, WA: PT1 Environmental Services.
Di Toro, D.M., C.S. Zarba, D.J. Hansen, W.J. Berry, R.C. Swartz, C.E. Cowan, S.P. Pavlou,
H.E. Allen, N.A. Thomas, and PR. Paquin. 1991. Technical basis for establishing
sediment quality criteria tor nonionic organic chemicals using equilibrium partition-
ing. Envir. Toxicol, and Chern. 10:1-43.
FDEP. 1994. Approach to the assessment of sediment quality in Florida coastal water,
Vol.] Development and evaluation of sediment quality assessment guidelines. Pre-
pared for Florida Department of Environmental Protection, Office of Water Policy,
Tallahassee, FL, by MacDonald Environmental Sciences Ltd., Ladysmith, British
Columbia.
Howard, P.H., ed. 1991 a. Handbook of environmental fate and exposure data for organic
chemicals. Chelesa. MI: Lewis Publishers, Inc.
Howard, P.H., ed. 1991b. Handbook of environmental degradation rates. Chelsea, MI:
Lewis Publishers, Inc.
Karickhoff, S.W., and J.M. Long. 1995. Internal report on summary of measured, calcu-
lated, and recommended log Kow values. Prepared for Elizabeth Southerland, Chief,
Risk Assessment and Management Branch, Standards and Applied Sciences Division,
Office of Water, by Environmental Research Laboratory-Athens.
Long, E.R., D.D. MacDonald, S.L. Smith, and F.D. Calder. 1995. Incidence of adverse
biological effects within ranges of chemical concentrations in marine and cstuarine
sediments. Environ. Manage. 19( 1 ):81 -97.
Lyman W.J., W.F. Reehl, and D.H. Rosenblatt. 1982. Handbook of chemical property
estimation methods—Environmental behavior of organic compounds. New York, NY:
McGraw-Hill Book Company.
Pait, A.S., A.E. DcSouza, and D.R.G, Farrow. 1992. Agricultural pesticide use in coastal
areas: A national summary. Office of Ocean Resources Conservation and Assess-
ment, National Ocean Service. National Oceanic and Atmospheric Administration,
U.S. Department of Commerce.
Ref-1
-------
Kelt* rentes
SRC. 1993. CHEMFATE database retrieval. Syracuse Research Corporation.
USEPA. 1989. Computer data base of physical/chemical properties for SARA 313 chemi-
cals. Washington, DC: U.S. Environmental Protection Agency, Office of Toxic Sub-
stances.
USEPA. 1990a. Hazard Ranking System, Final Rule. U.S. Environmental Protection
Agency. Fed. Regist., December 14, 1990, 55:241.
USEPA. 1990b. The Environmental Fate/Groundwater Branch Office of Pesticide Pro-
grams database compiled from OPP file and literature review. OPP Database. Wash-
ington, DC: U.S. Environmental Protection Agency, Office of Pesticide Programs.
USEPA. 1991. Risk Reduction Engineering Laboratory (RREL) Treatability Database.
Cincinnati, OH: U.S. Environmental Protection Agency.
USEPA. 1992a. Permit Compliance System generalized retrieval manual. Washington,
DC: U.S. Environmental Protection Agency. PCS-GR92-1.01.
USEPA. 1992b. Sediment classification methods compendium. Washington, DC: U.S.
Environmental Protection Agency, Office of Water. EPA 823-R-92-006.
USEPA. 1993a. Sediment quality criteria for the protection of benthic organisms:
Acenaphthene. Washington, DC: U.S. Environmental Protection Agency, Office of
Water. EPA-822-R-93-013.
USEPA. 1993b. Sediment quality criteria for the protection of benthic organisms: Dield-
rin. Washington, DC: U.S. Environmental Protection Agency, Office of Water. EPA-
822-R-93-015.
USEPA. 1993c. Sediment quality criteria for the protection of benthic organisms: Endrin.
Washington, DC: U.S. Environmental Protection Agency, Office of Water. EPA-822-
R-93-016.
USEPA. 1993d. Sediment quality criteria for the protection of benthic organisms:
Fluoranthene. Washington, DC: U.S. Environmental Protection Agency, Office of
Water. EPA-822-R-93-012.
USEPA. 1993e. Sediment quality criteria for the protection of benthic organisms: Phenan-
threne. Washington, DC: U.S. Environmental Protection Agency. Office of Water.
EPA-822-R-93-014.
USEPA. 1993f. Technical basis for deriving sediment quality criteria for nonionic organic
contaminants for the protection of benthic organisms by using equilibrium partition-
ing. Washington, DC: U.S. Environmental Protection Agency, Office of Water. EPA-
822-R- 93-011.
USEPA. 1993g. Quantitative Structure Activity- Relationship (QSAR). Duluth, MN: U.S.
U.S. Environmental Protection Agency, Office of Water. EPA-822-R-93-014.
Ref-2
-------
Draft National Sediment Contaminant Point Source Inventory
USEPA. 1993h. Superfund Chemical Data Matrix (SCDM/. Washington, DC: U.S. Envi-
ronmental Protection Agency, Office of Solid Waste and Emergency Response.
USEPA. 1996a. Environmental goals for America, with milestones for 2005. Draft. Wash-
ington, DC: U.S. Environmental Protection Agency, Office of Policy, Planning, and
Evaluation.
USEPA. 1996b. The national sediment quality survey: A report to Congress on the extent
and severity of sediment contamination in surface waters of the United States. Draft.
Washington, DC: U.S. Environmental Protection Agency, Office of Science and Tech-
nology.
Verschueren, K. 1983. Handbook of environmental data on organic chemicals. 2nd ed.
New York, NY: Van Nostrand Reinhold and Co.
Worthing, C.R., and R.J, Hance. 1991. The pesticide manual: A world compendium. 9th
ed. Farnham, Surry, United Kingdom: The British Crop Protection Council.
Ref-3
-------
Draft National Sediment Contaminant-Point Source Inventory
Appendix A
Sediment Hazard Scores
and Supporting Data
-------
Table A-1. Sediment Hazard Scores (Sorted by Chemical Name)
Aqueous
Sediment
HAZARD
TOXICITY
FATE
Biude^radution
Air-Water
Adsorption
CAS
Chemical Name*
Chemical Class
Score
Score
Scorr
Score
Partition Score
Score
K3<2<>
AiTn.iplHhi'nr
PAH
4.9E 02
7.7F.-0I
6.3F.-02
4 0F.-0I
3.0F.-01
5.2E-01
20X968
Accnaphlhylcnc
PA11
1 2E-01
1.6E+00
7.9E-02
2 4E-0I
6.0E-01
5.6E-01
6/64 I
Aeelone
Olhci
3.5E-06
2.7MM
1.3E 03
2.8E-02
4.6E-0I
1 OF.-Ol
107131
Acrylonilrilr
Other
4.7H-02
I.5E+01
3.1E-03
9 1 no 2
3.4E-01
1.0E-01
3094)02
Aldrtn
Pc.sllcidc
4.5E+02]
8.6E+02
5.3E-01
2.3E+00
2.3E-01
1.0E»0()
12012/
Anthracene
PAH
5.5E-01
9 IE 01
6.0F.-0I
I.8E+00
5.IF.-01
6.6F-01
744(0 Ml
Antimony
Metal
2 5E-02
50E-03
5.OE+OO
1 OE+Ol
I.0E+00
5.0E-OI
7440382
Arsenic
Metal
7 1E-02
1.4E-02
5.0E+00
l.Ob+01
1.0E+00
5.0E-01
7143?
Dcil/XIR'
Other
1 3F.-02
I.8E+0I
7.7E-04
6.3E-02
I.OE-01
1.2E-0I
56553
Dcnzo(a)anlhraccno
PAH
l.IE+fll
5.KF.+00
2.0E+00
2.7E+00
8.0E-01
9.IE-0I
50378
Ben7o(a)pyiene
PAH
4.2E+01
5.8F.+01
7.2F.-01
2.IF.+00
3.4F.-0I
I.0H+00
205992
Benzo(b)fluoramhcne
PAH
4.8E+00
5 8E+00
8.3E-01
2.4E+00
3.4E-01
1.OE+OO
191242
Bcn/uCghilpciyleiie
PAH
8.0E-01
3 8E 01
2.IE+00
2.6E+00
8 1E-01
1 0F.+00
2070X9
DEnzti(k)fluoraii[licnf
PAH
4.7F.+00
5.8E-01
8 2E+00
8 5E+00
9 7E-OI
1 OE+OO
J19846
HHC, alpha-
Pesticide
1 2.6E+02
| 2.4E+02
I.0E+03
2.6E-01
5.3E-01
I.OEtOO
4.9E 01
319X57
BHC.hcla-
Pesticide
1 0E+O3
2.4E-01
4.9E-01
1 OE+OO
4.9E-01
319868 BHC, della-
Pesticide
9.2E+00
9.0E+01
1 0E-0I
4.0E-01
9.6E-01
2.7E 01
58899 RHC, gamma /I jndaitc
Pesticide
2 1F.+02
2 7F.+07
7.8E-01
1.6E+00
1.OE+OO
4.8F.-0I
608731 |BHC, technical grade
Pesticide
4.8E+01
2.7E+02
1.8E-01
4.0E-01
l.0b+(X)
4.5E-01
92V24 RiphenyJ
Other
2.6F.-03
9 IF.-01
2.8E-03
2 8F.-02
1.9F.-01
5.3E-OI
1178l7jBis(2-cthylhcxyl) phOialaic
Oilier
2.7E-02
5.3E-01
5.2E-02
9.1E-02
5.7E-01
1.OE+OO
10! .S53 Bromophcnyl phenyl ether, 4-
Oilier
7.8E-02
7.7E-01
1 0F.-01
4 0F.-0I
3.4F.-01
7.6E-01
85687 Buiyl benzyl phthalaic
Other
1.5E-03
9.1E-02
1.7E-02
2.8E-02
8.4E-0I
7.2E-01
7440439 .Cadmium
Divalent Metal
5.2F.-01
1.0F.-0I
5.0E+00
1. OE+Ol
1 OE+OO
5.0E-01
57749lchlordaiie
Pesticide
5.0E+02
2. IF.+02
2.4E+001 5.5E+00
4.4E-01
1.OE+OO
108907 Chloiobcnzene
Other
2.0E-02
1.2E+00
1.7F.-02
5.9F.-01
1 OF.-Ol
2 8F-0I
2921882 jChlorpyrifos/Dursbar
Pesticide
5.4E-02
1.7E-01
3.2E-01
4.0E-01
1. OE+OO
8.1E-01
7*140473 Chiomium
Metal
1.4E-02
2.7E-03
5 OE+OO
1 0F.+O1
1 OE+OO
5 OF.-Ol
218019iChrysenc
PAH
1.OE+OO
3.6E-01
2.9E+00
4 OE+OO
8 0E-0I
9 1E-01
74405081 Copper
Divalent Metal
1.9E-02
3.7E-03
5.0E+00
1.OE+Ol
1.OE+OO
5.0E-01
108394 Crr.sol, m-
Other
1.4F.-02
1.4F.+O0
1.0E-02
l.IE-Ol
9.1E-01
1.0E-01
95487
Crcsol, o-
Other
3.5E-03
1.4E+00
2.5E-03
2.8E-02
9.IE-01
1.0E-01
106445
Crcsol, p-
Other
6 5F.-05: 2.8E-01
2.4E-04
26F.-03
9.IF.-0I
1 OF.-Ol
13I9/7J
Cresols
Other
1.4F.-02
1.4E+00
9.8E-03
1.IE-01
8.6E-01
1.0E-0I
18613?]
DCPA/Dacthal
Pesticide
9.2E-03
4.9E-02
I.9E-01
3 6E 01
1. OE+OO
5.IE-01
72548
DDD
Pesticide
2.6E+02] 3.7E+01
71E+00
1 0E+0I
7.1E-0I
1 OE+OO
72559
DDE
Pesticide
3.4E+02
7.2E+OI
4.7E+U0
1.0E+0I
4.7E-0I| 1.OE+OO
50293
DDT
Pesticide
2.IE+02
3.7E-02
S.6E+00
1.OE+Ol
5.6E-01
1. OE+OO
-------
> Table A-l. (Continued)
Aqueous
Sediment
HAZARD
TOXICITY
KATE
Rioriegradalinn
Air-Water
Adsorption
CAS
Chemical Name"
Chemical Cluss
Score
Score
Score
Swire
Partition Score
Score
8474?,
Di-ri-liulyl phtlinlate
Other
5.5E03
9.IE 02
G.lfi-02
9.1E-(12
1.OE+00
67E-01
I17840
Di-n-octyl phthalatc
Other
1.8E-02
I.6E-0I
l.lt'-OI
I.1L-U1
1.01i»00
1.0H+00
3J3415
Diaziium/SpcCtrat ide
Pesticide
9.7E+02
5.3E+03
I I.9H-01
4 (1F.-0I
l.Oh+00
¦1.7E-01
53703
Dibcii/enzenc, 1.3-
Other
1 9F.-02
5 9F.-0I
3.2E-02
7.1E-01
1 0E-01
4.5E-01
106467
Dichlorobcn/cnc, 1.4-
Other
8.3E-02
2.9E+00
2.9E-02
7.1E-01
1.0E-01
4.IE 01
25321'?'?6
IJichloiohcnzcnrs
Other
8.9E 0?] 2.9R+00
3.0E-02
7.1E-01
i.on-oi
4.2E-01
75343
Dichlorocthatic, 1,1-
Other
1.711-05
2.7E-03
6.1E-03
6 1E-01
l.OE-01,
l.Ot-OI
107062 Dichloroethime, 1,2
Other
1 8h 02
2 5hi00
7.3F.-03
7 1F.-01
1 0F.-0I
I.0I--0I
156605
Dichlorocthcnc, trans-1,2-
Other
8.71L-06
1.4E-02
6.4E-04I
5.9E-02
I.OE-0!
I.IE-OI
7 SO1)?
Dicliluiornctliaiic
Other
2.4E 04
2 IF. 01
1.IH-03
I.1E-01
1 OE-OI
1.0E-0I
78875
Dichlnropropane, 1,2-
Other | 2.2E-01
1.9E+00
I.2E-0I
5.1E+00 2.3E-01
1.0E-0I
60571
Dieldrin
Pesticide
' 1.6E+03
81E+02
/0F.+0O
4 3K+00
5.7E-01
8.4E-01
84662
Diethyl phlhalate
Other
7.1F.-02
1.6E+00
4.5E-02
2 2E-01
I.0E+00
2.UE-01
131113
Dimethyl phlhalate
Other
i m 02
6.3E+O0
2.8E-03.
2 8E-02
1.0E+00
1.0E-0I
105679
Ditncthylplicnol, 2,4-
Other
2 0E-02
4.8E+00
4.3E-03I
2.HE-02
9.0E-01
I.7E-U1
115297|E[idosulfan mixed isomers
Pesticide
3.4E+00I
1 9E+02
I.8E-02
5 5K-02
6 0E-01
5.6E-0I
95998X F.nclrtsiilfan, alpha-
Pesticide
3 7F.+01
3.4F.+02
1.1E-01
4 0E-O1
6.0F.-01
4.5E-01
33213659 Etidosulfaii, beta-
Pesticide
7 6K+00
7.1E+01
I.IE 01
4 Of 01
6 0F.-01
4.5F-0I
72208
Endrm
Pesticide
9 3F.-0I
2 4F.+01
3.9E-02
7 9E-02
6 4E-01
7.7E-01
100414 Ethylbcnzenc
Othei
2.8F.-04
MK-01
1.4b 03
4.0E 02
1 OH 01
3.4F.-0I
206440'Fluu/aiillicnc
PAH
1 2F.0I
lfiF.-Ol
7.6E-01
17F+00
5.6E-01
7.8E-01
H6737 Huorcnc
PAH
1.2E-01
1.9E+00
6.5E-02
2.4E-01
4.7E 01
5.8F. 01
7644}) Heptadilor
Pesticide
5.8EtOO
2.3F.+02
2.6E-02
2 f.E-01
1.0E-01
1 OE+00
1024573
Heptachlor epoxide
Pesticide
3.6E+02
4.5E+02
7.9E-01
2.2E+00
4.8E-01
7.6E 01
118741
Hexacbloiobenzcrie [Oilier
3.4E+00
4 1E+00
, 7.9F.-01
K.3F.+W)
1 OH-OI
9.5E-0I
87683.1 Icxachlorobutadicne 1 Other
1.9E-01
3.7E+00i 5 1E-02
7.1E-01
1.0E-01
7.IE 01
67721 HexachloroeLIiam."
Other
5.9E-02
1 OEtOO
5 9F.-02
7 IF-01
1.5F.-01
5. JE-01
193395|Indetio(l ,2,3-cd)pyrene
PAH
1 3IL-M11
5.8E+00 2.3F.-KM)
2HE+00
H.1E-01
l.OElOO
78591 Isophoruiie
Oihei
2.0K-04
2.7E-02
7.4E03| LIE 01
6.7E-01
1 (1F.-0I
7439921
Ixart
Divalent Metal
2 1F.-02
4.6E-03
5 OE+00
1.0E+01
1 OE+OO
5 0E-01
7439976 Mcicury
Mercury
7.0E+00
1.4B+00
5.0L-I00
l.OlitOl
1.0E+00
5 OF. 01
7 2135 'Methuxychlor
Pesticide
5.8F.+01
5 3F.+01
1.1E+00
1.4E+0O
1OE-H*)
7.7E-01
78933 Mclhyl ethyl ketone
(Xhcr
5.4E-07
4.6E-04
1.2E-03
2.8E-02
4.2E-01
I.OEOl
2385855' MircK/Dccl)U>ianc
Pesticide
94E+01
G.6E-02 I.4F.+00
1 4F.+0O
1 0F.+00
I Oli+OO
-------
Table A-l. (Continued)
-¦——
Aqurons
Sediment
HAZARD
TOXICITY
FA'IK
Biodeg nidation
Air-Walcr
Adsorption
CAS
Chemical Name"
Chemical Class
Score
Score
Score
Score
Partition Score
Score
•Jl '2(J3 Naphthalene
PAH
1.4E-02
2.1E+00
6.5F.-03 7.9E-02
2.1H-01
3.9E-01
7410070 Nickel
Divalent Mclal
9.7F.-02'
1.9K-07
5.0F.+00! I 0F.+01
1.0F.+00I
5.0E 01
86306 NitroSodiphcnylaminc. N-
Other
4.4E-01
7.7E+00
5.7F.-02
1.3E-01
1.0E+00
4.2E-01
176711 12
PCB-1016
k:b
2 9EUI2
4 0F.+02
7.4E OlT 7 3Et00]
3 6E01I 8 9F. 01
11 KM2X2 PCB-1221
PCB
2.9E+02
4 0E+02
7.4E-01
2.311+00
3 6E-01
8 9E-0I
11141165 PCB-1232
PCB
2.9K+U2
4 0Ei02
7.4I- 01
2.3E+00
3.61:-01
8.9E-01
53469219 PCR-1242
pen
2 9F.+02
4 0F.+02
7 4K-01
2 1F.+00
3 6K-0I
8 9E-0I
126/22%
PCB-124 X
PCB
2 9F.+02
4 Oh102
7.4E-01
2.3E+00
3.6E-01
8.9E-01
11097691
PCB-1 254
PCB
2 9E+07.
4 0E+O2
7.4E-0I
2.3F.+00
3 6E-01
8.9L-0I
1 I096K25
PCB-1260
PCB
2 9E+02
4.0E+O2
7.4E-CM
2.3E+00
3.6E-01
8.9E-01
608915
Pcntar'.hUirnhen/rnc
Other
I .6E 01
1.4E+00
I.IE-01
1 4F.+00
I.OE-Oi
8 1F.-0I
87865
PcntachloropUcnol
Other
7.9U-01
1.4E+00
5.5E-01 7.0E-01
1.0E+00
7.8E-0I
85018
Phemmthrenc
PAH
I.5E-0I
5.6F.-0I
2.6F.-0I
7.91;-01
5.1F.-01
6 6F. 01
10X952
Phenol
Other
1.1E-03
8.3F.-0I
I.4E-03
I.4H-02
9.9E-0I
1.0E-01
1.1163(1?
Pulychluimated biplienyls
PCB
2.9E+02
4.0F.+02
7.4E-0I
2.3El00
3.6E 01
8.9E0I
129000
Pyretic
PAH
1 4F.+00
3.RE-0I
3.515+00
7.5F.+00
6.0F.-01
7 81i-01
7440224
Silvei
Metal
1.4F-MX)
2.7E-01
5.0E»(X)
I.OE+01
l.OEtOO
5.0E-O1
95941
Tclrachlon>hcn7.cnc, 1.2,4,5-
Other
4.5F.-02
9.4E-0li 4.8E-07.
7 IF. 01
I.0E-0I
ft.8F.-01
79345
Tetrachluioethane, 1,1,2,2-
Other
3.0E-0I
5.6EtOO
5.4E-02
7.IF.-01
4.2E-01
1.8E-01
127184
Tctrachlorocihcnt:
Other
6 5F.-02
1.9E+00; 3.4K-02
I.4F.+00
1 0E-0I
2.4F.-0I
56235
liMrachloKHiielliare
Othei
I.3E-0I
3.()HitJ(>
3.6E-02
1 4K+00
1.0E-01
2.5E-01
\0RXR3
Toluene
Othrr
1 2 5E 03
1.IE+00
2.2K-01
X 7F.-02
1 0E-01
2.6F.-0I
8001352
Tux apt lent*
Pesticide
4.6E+01
5.5E+01
8.3E-01
I.4E+00
6.7E-01
H.7E-01
75257.
Tribiorriomclhanc
Other
1 0E 02
I.5K+00
2 OF.-02
7 1E 01
1.6F.-0I
I.7F.-0I
120X21
TriehlorubcnziMic. 1,2,4-
Other
4.2E-03
I.IE-01
3.8E-02
7.1E-01
1.0E-01
5.4E-0I
71556
Trichloroelliane, 1,1,1-
Other
1 3E01
5.9F.+00
2.1F-02
1 IE*00
1.0K-0I
2.0F.-0I
79005
Tnchlorocltmnc, 1,1.2-
Other
2 0E-01
1.6E+00
1.2E-01
1.4E+00
8 4E-01
1.0E-01
79016
Tncliloriielhcne
Other
I.7E-02
4 8E01
3 5E-02
I.4E+00
10E01' 2.5E0I
75694
Tncfiloroiluorumrlhanc
Other
2 8F.-05
9.4F.-04
3.0E-02
1.4F.+00
1.0E-01
2.IF. 01
67663
Trichloiuiiieihaiie
Other
1 2K-03
1.7E-01
7.1E-03
7.1E-01
1.0E-01
l.Oh-01
1083X3
Xylene, m-
Other
1 I 6E 01
4.0E+0I
4.0F.-01
1. IE 01
1.0K-01
1.6F.-0I
954/6
Xylcnc, o-
Other
1.5E-01
4.0E+01
3.8E-03
I.IE-01
1.0E-01
3.4F;-0I
106421
Xylene, p-
Other
l~ 1 6E 01
4.0E+0I
3 9F.-01
1. IE 01
1 0F.-01
1.5F.01
1330207
Xylcncs
Other
1.6E-01
4.0E+01
4.0R-03
I.IE-01
1.0R-01
3.6E-0I
74406661 Zinc
Divalent Metal
I.2E-02
2.4F.-03
5.0F.+0dr l.OEtOl
1 1 OF.+00 5.0F.01
'Chemicals shown have necessary fate an*1 transport data and toxicity information to calculate SHSs. Chemicals shown also have available data m PCS and/or TRl.
-------
Tabic A-2. Sediment Chemistry Screening Values (Sorted by Chemical Name)
£
Sediment
Eftlmated
Sediment
(Juallty
Apparent
EPA
Sediment
Quality
Advisory
Krferti
KfTecti
KPA
Noncanrer
Chemistry
Criteria
l.evel
R»IIRt-
Threshold-
Frubublv
Cancer
Hazard
Hlota-Sedlmcnt
Serening
<1%00
(i %nc)
Median
High
ICffect.anthracenc
0.17
Hli C
1.6
5.1
0 693
0 15
0.29
999999955
Ben/.o(;i)anthr:ii:rne/Chrv-seTMr
0.17
HHC
1.6
5 1
0.693
0 15
0.29
5032H
Bcn/.o(a)pyrcne
0017
HH-C
1.6
3.6
0.76J
0015
0.29
205992
Bci!/.u(b}llui)r.»ilhene
0.17
HH C
99
0.15
O 29
191242
Bcn/o(Rhi)prrYlcnc
2 6
AO-Af.TII
2.6
207089
Bcn7.o(k)Iluor,indent:
1.7
HH C
9 9
1 5
0.29
65B50
Bcn/.oic acid
0.76
AO-AITIi
0.76
43000
98077
Ben/.olf (chloride
—•
OOOX3
1516
Ben/yl alcohol
0.87
AO-AHTH
0.87
3200
100447
Benzyl chloride
—1
0 63
7440417
Beryllium
e
0 025
54
3198-16
HHC. alpha
0.0010
AO-PHI.
0.00099
0.017
1.8
319857
11HC. beia-
0.0010
AO PHL
0.00099
0.06
18
319868
BHC, dclia
0.011
HH C
0 I 1
0 00099
O.Ofi
1.8
5KH99
BHC, £amma-/Lindanc
0.0037
ao-soal
0.0037
0.00099
0.083
3.2
1.8
608731
BHC, technical grade
0.0037
AQ-SQAL
0
-------
Tabic A-2. (Continued)
Sediment
tstlmaled
Sediment
Quality
Apparent
EPA
Sediment
Quality
Advisory
fttTerts
KfTeds
FPA
Nonrahctr
Chemistry
Criteria
Level
Kange-
Thresh old-
Frobabk
Cancer
Hiiard
Biota-Sediment
Screening
(Hioq
(l*OC)
Medlan
High
Effects Level
Risk 10'
Quotirnt = 1
Accumulation
VttllfCN
Guideline
Agsyc
AQ-SQAL
AQKHM
AQ-AKTH
AQ-PKI.
llll-L'
llll-NC
Factor
CAS
Chemical Name
*
Type
(ppm)
(ppm)'
(ppm)
(ppm)
(ppm)
(ppm)
(ppm)
(unities*)
101551
Biomophenyl phenyl cihcr, 4
1.3
AOSOAL
13
(i 20
1
16X9K45
Bromoxvnil
•
220
B5687
Buivl hcn/vl phthalate
II
AO-SOAL
li
09
2200
1
/440439
Cadmium
9.6
AO-tHM
9.6
9 6
4 21
5.4
&3252
Carbarvl/Scvin
<
1100
1563662
CarbofuMn/furiidaii
c
54
75(50
Carbon disulfide
1100
wvm
CMorambcti
c
ISO
57749
Chlordanc
0.0048
AOPRI.
1)00479
0083
0 e>5
4.77
!>I037ItJ
Chlordane. alptr.i(ris)-
0.0048
AO Hhl.
0.0047'/
o 0x3
0.65
4.77
5103742
ChlorddiK'. hmOrans)
0.0048
AO-I'EL
0.00479
0.081
065
2
5>66347
Chlord.iiK'. KJiMiMiiififans)-
0.0048
AO PKI.
0,004/9
0 083
0.65
2 22
9999992*17
Chlordanc-Nonachk»r(cis)-
0.OO48
ao-hhi.
0.00479
0 083
065
4.77
wmm 248
ChlurdaiK'-Nunat liH)i(iians)-
0.0048
AO HKI.
0.004/9
0 083
0.65
4.77
108907
Chlorohen/eric
0.82
AO-SOAL
0.82
220
1
>10156
OilorulK*n/ilal»*
—5
0 4
770
75003
ChloroclhrtHc
c
4300
75014
Chloroclliffir
—c
0 057
1107,58
Chlorccthvtvinvl cihcr. 2-
f
270
74873
ChioitHin'.lh.im'
-
Ht
9I5S7
ChloronaphthnL'nc, 2-
<
860
95578
< 'hlorophcnol, 2-
'•
54
2921882
O i J c i rp yn I o s/D u r.s ha n
5.9
HH-NC
32
1 8
7440473
Cluoinitim
370
AQ-liRM
170
270
KiO
54
718019
Chrysene
2.8
AO-ERM
2.8
9.2
0.846
li
0.29
7440508
Copper
270
ao-i:km
270
UOO
I0«j
400
108394
Crcsol. in-
0.72
AO AKTH
0.72
540
95487
Cresol. o
0.72
ao-aeth
0.72
540
106445
( jo.snl, p
V6
ao-aoth
3 6
14
1319773
Cicsols
0.72
AO-AliTH
0.72
54
9M2H
C.ttmcnc
410
21725462
Cvnna/.inc
<
0.13
22
57125
Cvanule
220
1861321
DCPA/Oacdial
20
HH-NC
no
1 8
53190
1)1)0. n,p'
0 027
AOERM
0.027
0.043
(1.007X1
0.45
0.28
72548
DDI). D, P -
0.027
AO-EK.M
0.027
0.043
0.00781
0 45
0 28
3474826
DDE, o.p'
0014
HH-C
0 027
0.015
0 174
0.32
7.7
72559
DDE. p. p*-
0.014
HH-C
0.027
0.015
0.174
0.32
7 7
999999300
FJDT (ToiaJJ
0 014
HH-C
0(MM
00 IS
00517
0.32
54
7.7
789026
DDT. o.tf-
0.027
AO-ERM
0.027
0.0 M
0.00477
0.32
5.4
1.67
502.93
()T)T, p, p'
0 027
AQ-F.RM
0027
0.034
0.00477
0 .12
5 4
1.67
1163195
Dccabromodiphcnvl oxide
110
-------
Draft National Sediment Contaminant Point Source Inventory
= c S
4) 0 *
E ; -
90
o
¦¦
¦¦
"~"
"
"
"
ao
5 - =
» = i
* e r
1 b -
a * i
S ¦= 11 o _
< £ a c
o
CJ
o
3s,
vC
rM
o
=
o
30
r-i
r-i
t,
u-i
S
o
n
=
O
CM
r>i
¦«r
fM
(N
fS
rs
r-»
o
L—.
< t - V ?
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•fa * 2 w &
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d
r-
c
c
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r*
r-j
d
ri
30
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On
£
n
o
*¦
d
c
d
c « -7 ^ ,
* S T ^ ^ s
f "5 = 2 '< S.
*oa
1
1
d
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22 4"
b Q.
¦O ^
3 <"
J
<
(N
V)
6
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<
6
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a
<
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X
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<
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6
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Cr
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2 p — m a
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— T» a* ~ a,
n w ^ g C«
a * U S
b
b
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Tf
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r^i
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w*
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r-i
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rr
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d
o
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fM
d
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*1
"1
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Chemical Name
V
H
19
2
a
5
3
X5
C
s
s
SJ
1
C
3
C
o
xs
">•
Xj
£
s
CJ
E
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c
2
4
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1
C
s
e
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>
0
¦*
£
CN
*2
5
u
c.
>1
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o
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«
o
£
£
o
x:
r*"i
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2
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&
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8
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£
*2
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rr
4J1
£
T3
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»<
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o
F
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S
"<5
€
5
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(N
0
£
">
5
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if
c
jj
C
d
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a
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X
2
ci
c
S;
J=
>
G
£
5
2
*3
Z2,
5
g
Cl
£i
C;
/-s
if
5
2
5
./-s
5
f
C:
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5
2;
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Q
£
5
l22
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ri
rr
ir-:
rs
r j
r-
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i/~,
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r-
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C-J
r-^
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I
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c
O!
-------
Table A-2. (Continued)
Sediment
Kstlmated
Sediment
Quality
Apparent
EPA
Sediment
Quality
Advisory
E Keels
Effects
EPA
Noncancer
Chrmistry
Criteria
Level
KBngr-
Thrcfihoid-
Probable
Cancer
Hazard
Blota-Scdlmcnt
Screening
(IHOCl
(l%OC)
Median
Hlgh
K Heels Level
Risk 101
Quotient = 1
. Accumulation
Values
Guideline
AQ.SQC
Ay-SQAL
AQ-EKM
AQ-AET1I
aq-pei
IIH-C
HH-NC
Factor
CAS
Chemical Name
(ppm)'
Type
(ppm)
(pijiii)'
(ppm)
(ppm)
(ppm)
(ppm)
(ppm)
(unities.*)
115297
Emlosulfan mixed isomers
0.0054
AO-SOAL
0.0054
65
18
959988
33213659
Endosulian. alpha-
00029
AO-SOAL
0.0029
65
IS
Endosulfanu beta-
0.014
AO-SOAL
0014
65
18
72208
Endrin
0.042
AO-SOC
0.042
0.042
3.2
18
563177
Hihkin/Bladen
1
HH-NC
5.4
IX
MJ786
lilhvl .icciafe
*
9700
. 11)0414
Kthylheiuene
4.8
AO-SOAI.
48
0.037
1100
1
106934
Ethylene dibromide
e
0.0013
20M40
Huoianthene
6.2
AO soc
62
62
5.1
30
1 494
4K1
0 29
867-17
Fluorcne
054
AO-SOAL
0.54
0.54
3.6
0.144
430
0.29
941229
Fonolos
'
22
7644K
Heptachlor
0.0044
IIH-C
0024
5.4
1.8
1024 *>71
Hepiacblor epoxide
0.0022
HH-C
0 012
0 14
1.8
118741
1 lexach kwbenzene
0.23
AO-AETH
0.23
0067
8.6
0.09
8768 \
Hexachlomhuladiciie
0.27
ao-aeth
0 27
1 4
2.2
1
74474
1 icxacltloiocvclODcniadicne
—•
67771
Hrxachloruelhane
1
AO SOA1.
1
7.7
11
1
51235042
Hex a/J hone
—«
360
9999M9484
HMW PAHs
9 ft
AO F.RM
9 6
69
6 676
123319
/fvJa"Hjuim>nc
_<
430
191
inileno< 1,2,3-cd >i>yrcnc
0 17
HH-C
26
0.15
0.29
78591
Isophoronc
37
HH-C
110
220O
1
_ 13820530
74 3'>921
I.soprupaiin
<
160
Lead
21K
AO-ERM
218
660
112
999999502
LMW I'AHs
3.2
AO-liRM
3.16
24
1.442
121755
Mub.ihion
0.0007
AO-SOAI.
000067
220
IK
108316
Malcic anhydride
4
1100
743996S
Manganese
- «
54
7439976
Mercury
0.71
AO-ERM
0 71
2.1
0696
1.1
7243 S
Mdhnnvchlor
0019
AO-SOAI.
0 019
54
18
78933
Methyl ethyl ketone
2200
HH-NC
6500
1
10810!
Mefhvl isohuty! ketone
'
860
22967926
Methyl Mercury
—<
1.1
9IV76
Methylfianhthalene, 2-
0.67
AO-KRM
0.67
1.9
0.2 01
210H7649
Metribu/jn
—<
270
__ 23B5855
7419987
Mirex/Dcchloranc
0015
HH-C
"
0.06
2.2
1 31
Molybdenum
—r
54
91201
Naphthalene
047
AO-SOAL
0 47
2.1
¦ 2.7
0.391
430
0.29
91598
Nanfitfivlaniiiie, 2-
—1
0.00083
7440020
Nickcl
52
AO-ERM
51.6
42.8
220
98953
Nitrobenzene
_'
5 4
100027
Nitrophcnol, 4
c
670
-------
Table A-2. (Continued)
£
Sediment
Estimated
Sediment
Seriimrnt
Quality
Quality
Advisory
Effects
Apparent
Effects
Probable
EPA
EPA
Nencancer
Chemistry
Crltrrla
Level
Range-
Threshold-
Effects
Canrrr
Hazard
Blota.Sedlment
Screening
(l%OC)
(1T.OC)
Median
HISh
Lewi
Risk 10'
Quotient = 1
Accumulation
Values
Guideline
aq-sqc
AQ-SQAI.
aq-erm
AQ-AETH
AQ-PEL
HH-C
HH-NC
factor
CAS
Chemical Name
(ppmC
Type
(ppm)
(ppm)'
(ppm)
(ppm)
(ppm)
(ppm)
(ppm)
(uiiUIvm)
924163
Nufosodi-n-butYlaminc. N-
0.02
671647
NilK>>ucJi-n-propvf«iiiiirie, N-
f
0.015
86306
NMrosodifihenylamine, N-
0.13
ao-aehii
0.13
22
55185
Niiiusodmicihykimiiie. N-
—c
0(K)21
56382
Parathion ethyl
<
65
126/4112
Aroclor-1016)
0.0025
hh <:
0 18
3.1
0.189
UUI4
0 75
1 85
111CM282
HCB(Aroclor-I22l)
0.0025
HIIC
0.18
3.1
0.189
0014
022
1.85
11M1165
PCR(AiiM'lnr I2J2)
(1.007.5
HH-C
0.18
3.1
0 189
0014
0 22
1.85
53469219
B( Aitx. lor-1242)
00025
HH -C
0.18
3.1
0.189
0.014
0.22
1.85
12672296
PC B( Arocloi-1248)'
n (1025
HH-C
0 18
3 1
0 189
0.014
0 22
1.85
11097691
HCB(Arock>r-1254)
00025
HHC
0.18
3 1
0.189
0.014
0.22
1.85
11096825
PCB
160
7287196
Promctym/Caparol
«
43
23950585
Pmiiamule
_5
810
1918167
Propachlor
c'
140
129000
Pymie
2.6
AUKKM
26
16
1 398
37.0
0 79
91225
Quinoline
c
0.009
91225
Quinoline
—v
OOIW
888888882
SEM est
5
7441)224
Silver
37
AO-KRM
3.7
6.1
I 77
54
122349
Siinazine
c
0.9
54
74411246
Strontium
6500
100425
Styane
c
2200
888888881
THF est
—r
0.00000069
13071799
Tcrbufos/Coumer
e
0.27
886500
Tcrhuiivn
—c
1)
95943
Tcirachlofflhcnzcnc, t.2,4,5-
1.1
HH-NC
3.2
1
1716016
Telrachloio<1ibMi/o-p-«lioxii», 2,3.7,8-
00000039
HH-C
0.00000069
0059
79345
Icirachlorocthane. 1,1,2,2-
0.18
HH-C
1.6
0.54
1
127184
Telrachlornediene
0.53
AO StjAl
05<
OH
2.1
110
1
56235
Te tr ac h lorome t h arte
0.28
HH-C
12
0.83
7.5
1
' 58902
Teliachloiunhi'nol. 2.^,4.6-
_r
120
-961115
leuachlorvmphos/Ganlona/Siimfos
45
320
-------
Table A-2. (Continued)
CAS
Chenikal Name
Kstimated
Sedlmrnt
Chemistry
Screening
Vulue.v
(DDml*
(•uldeline
1 vpe
Sediment
Alley
Criteria
(i%oc)
At}-SQC
(ppm)
Scdlmtnt
Quality
Advisory
Levrl
(l«OC)
AQ-SQAL
(DP mi*
Kffirts
Range-
Median
AQ-ERM
A|i parent
Ktreets
Threshold-
High
AQ-AKTII
Probable
Kf frets l.rvrl
AQ-FKL
(DDflll
KI'A
Cancer
Risk in'
HH-C
(ppm)
KPA
None ancer
Hazard
Quotient ¦ 1
HII-NC
(ppm)
Hlota-Sedimcnt
Arriimulatlon
Tartar
(lit! Hires)
74'tom
Tin
ti500
108883
Toluene
0 89
AO-SOAI.
0.89
2200
1
_ ROflj 152
75252
lovnphene
IHI/K
HH-C
0.1
0.098
1.8
Tribromomcthane/Bromofonn
0 65
AO-SOAL
0.65
14
220
1
120X21
Tnchlc»rohen/.cnc, i .2.4
9.2
AQ-SQAL
9.2
0.064
110
1
f 1556
TrichloroethafK', 1,1,1-
0.17
AO-SUAL
0.17
970
1
79005
Tiichlofocthane. 1,1.2
0.63
ilH-C
1.9
43
1
7901 ft
TnchtorcKHhciM*
2.1
AO-SOAL
? 1
9 K
65
1
75694
Tncblororiuoromcihanc
1100
HH-NC
3200
1
67663
Tnchloromcilt;Hit'/<.'lil<»r(»funn
6.0
HH-C
18
lit)
1
95954 :
Tncblorophcnol, 2,4.5
1
1100
Trk'bioroDhcntil. 7,4 6
—•
9 H
93765
TrictilomnhcnoxvacciiL acid. 2.4,5-
'
110
'Jnd!loaif»hen'»*V!H<>pi«>iiic add. '2.4.5
8<«
1582098
T ri flurahii/Tre <1 .in
c
14
SI
95636
1 nmmlkvlhcH/.fru:, 1.2,4-
_
_ 5 4
54
118967
Triiuirotolucnc
«
7441)622
Vanadium
75
I08054
Vinvl acetate
11000
_ ms*x3
95476
Xylene, m
Xylene, c-
002S
AQ-SQAL
AO-SOAL
1)025
0.12
0.12
22000
1
0.025
0.025
22000
1
106423
Xylcnc, p
0.02.5
AQ-SQAL
0.025
0.12
I
1330207
Xylenes
0,025
AQ-SQAL
0.025
0.12
22000
1
7140666
/JUL
410
AQ-LRM
410
1600
271
3200
"Screening values selected based on the following methods: (1) an aquatic life, threshold was selected in descending order of availability: SQC, SQAI., iiRM, AETH, PEL; (2) a human
heallh threshold was calculated based on ihe. TBP approach (see Site Inventory report) by dividing the lower of tbe available risk values hy the default 3% lipids and the BSAF and
multiplying by the default ICt organic carbon The lower of the aquatic life or human health thresholds was then used as the screening value.
'\SQALs arc not equivalent to SQCs
'Hascd on criteria presented in the Site Inventory (Appendix C), no BSAF could be developed for this chemical, and subsequently, a human health threshold could not be derived for this
chemical In addition, no aquatic life thresholds were available for this chemical; therefore, no screening value could be developed.
-------
Table A-3. Physical and Chemical Properties (Sorted by Chemical Name)
c \ s
Chemical Name
AQUEOUS AEROBIC
BIODKliRAUATIO.N HALF-LIFE
HENRY'S LAW CONSTANT
I.OCJ OCTA.NOL-WATFR PARTITION
COEFFICIENT (log K^)
PREDICTED
SEDIMENT
ADSORPTION
COEFFICIENT
•"J
Days
Reference
(atm-m'/tnole)
Reference
Value
Reference
83*29
Acenaphlhene
102
Howard el at, 1991
1 OE-04
USEPA. 1993h
1.92
i
7139
208968
Acenaphthylcne
60
Howard et al.. 1991
1 11--05
USEPA. 1993h
4.1
USEPA. 1993U
10730
67041
Acetone
7
Howard cl al.. 1991
3.9E-05
USEPA, 1989
-0.24
1
98862
Acetophcnonc
16
USEPA. I993g
1.1E-05
Lyman ct al., 1982
164
—'
<11
107028
Acrolein
28
Huw;ird el ~!., 1991
1 7K 04
USEPA.1989
-0 01
*
1
mvijti
15972008
A cry lojiilxi It*
23
Howard et .)! . 1991
1 1E-04
USEPA,1989
025
¦
2
A lac hlor/Lasso
100
USEPA, I993g
9.0E-11
399
USEPA, I993g
8365
116063
Aldicarb/Tcmik
351
Howard et al., 1991
6.0E-09
Lyman et al.. 1982
1.1
USEPA. 1993h
12
3091)02
Aldrin
592
Howard et al, 1991
3.2F.-04
USEPA.1989
6.5
2453466
625.13
Aniline
26
SRC. 1993
1.9E-06
USEPA. 1989
0 98
9
1^)127
1912,149
Anlhrmeue
460
How aid ii al., 1991
2 6K OS
_b
4.55
¦
29712
Atra/ilie
742
SRC, 1991
2.6
USEPA. 199311
360
71432
Ben/.ene
16
Howard a al., 1991
5 4E-03
b
2.13
•
124
92875
Benzidine
8
Howard ci al., 1991
3.9E-11
USEPA, 1989
1 66
—*
41
S6553
MM?X
Benzo('a)anthrjicene
680
Howard el al., 1991
18K-06
b
V7
¦
4(11218
Hen/oOOpyrenr
530
Howatd et al . 1991
I 1 E-04
USEPA,1991h
6.11
—1
1014869
205992
Bcu/i>(h)iluoranthcne
610
Howard et a!., 1991
1. ] E-04
USEPA,1993h
6.2
1
1244171
191242
Ben/.o(^h»)pcrylcnc
650
Howard et al., 1991
1.6F.-06
USEPA,1993h
6.7
1858 ns
207089
Ben /.o{ k) fl uora nt hene
2140
Howard el al., 1991
4.0K-O7
USF.PA, lWh
6 2
1244171
6.S8M)
Benzoic At ill
16
USEPA, 199^
4.6E-08
b
1.86
67
98077
Ben/otnchlonJe
7
Howard el al., 1991
2 9
-•
710
100447
Benzyl chloride
28
Howard et al.( 1991
4.OE-04 1
6
2.3
182
319R46
UHC. aipha-
135
Howard ci al.. 1991
. 4.3E-I1
n
3.8
5441
J1UK57
BHC. befa-
124
Howard et al., 1991
4 3H-I1
b
3 81
¦
5566
319868
58X99
BHC, delia-
100
Howard el al.. 1991
4.3K07
USEPA, I99lh
2.8
566
BHC. irainina-ZLindanc
413
Howaid et al.. 1991
4.3E-11
b
3.73
4644
6087.11
BHC. technical grade
100
USEPA,1993g
4 3E-1I
6
3.61
USF.PA, 1989
3539
92524
Hiplwnvl
7
Howard el al , 1991
4 .IE 04
1.
< 96
7816
II1444
His(2-ii)loioelliyl) eiher
180
Howard et al., 1991
1 7E-05
USEPA. 1989
1.21
15
108 MM
Bis(2-chloroisopropyl) ether
180
Howard et al., 1991
1.1 E-04
USEPA. 1989
1.61
USEPA. 1989
38
117817
B!.s(2-clhylhe*yl) phthalate
23
Howard el al., 1991
1.5E-05
USEPA,1989
7.3
15003065
542881
Bis!chloromeihyl) eihcr
28
Howard ci al., 1991
2.1 E-04
Lyman et al , 1982
0.38
USF.PA, 1993h
2
-------
Table A-3. (Continued)
CAS
Chemical Name
aqueous aerobic
HIODECRADATION HALF LIFK
HENRY'S LAW CONSTANT
l.OG nCTANOI -WATER PARTITION
COEFFICIENT (loR K0r)
PREDICTED
SF.DIMENT
ADSORPTION
COEFFICIENT
(KJ
Days
Krfrrtne*
(aim- mVmoIr)
. Reftrtnrr
Valu<
Reference
757.74
HroriKKiichlommclfiunc
15
USEPA, I993g
2.IF-03
»
2.1
_»
116
74839
Bromomcthanc
28
Howard et a!., 1991
6 2K <»1
USHPA,1989
119
-¦
15
101553
Bromophcnyl phenyl ether, 4-
100
USEPA, I993g
i .21-; (Vi
t
5
82277
1689845
Bromnxynitl
22
Howard et al., 1991
3
USHPA, 1993h
890
K5&H7
63252
Butyl benzyl phihalntc
7
Howard c[ al.. 1991
1.3L-06
USEPA,1989 ,
4.84
57280
Caibaiyl/Xevin
30
Howard fi nI 1991
3.IE-09
»
2.3 j
182
1563662
Carbofumn/huradan
17
USKPA, 1993g
3.OK OH
k
1.5
30
75150
Carbon disulfide
11
USKPA, 1993h
3.0K-02
»
2
93
133901
Oilnramhen
100
USEPA, I993g
2.17
USEPA, 1989
136
57749
ChlorJane
1.186
Hawaii et j) , 1991
1.9I-: 05
USHPA,1989
6.32
—1
1632450
108907
Chlorobon/.cne
150
Hward ci al., 1991
4AF-0J
2.86
—*
648
510156
('hloiuhcn/.iliite
35
Howard et a|, 1991
4.38
20222
75003
ChUfi'oelhane
28
Howard ei al., 1991
8J*K 03
USKPA,1989
1.4
<
24
75014
Chlorocthcne
180
Howard et aL, 1991
2.7E-02
USfcPA. 1989
1.5
_•
30
110758
Chlorocthylvinyl r.iher, 2
12
IJSHPA, 1993g
2.5K-04
Lyman ct al., 1982
1.28
Lyman ct al., 1982
18
74873
Chkmnucthanc
2R
Howard el iii, 1991
8 8K 03 j
USKPA, 39H9
091
•
8
91587
Chloronaphlhalenc, 2
100
IJSKPA, 199-tg
3 7K01
k
4.1
_c
10730
95578
Chlorophcnol, 2-
15
SRC, J 993
5.6I--07
b
2.15
—'1
130
292 1882
Chlorpynfos/Our9bim
100
USHPA, 1993g
4.011 08
ft
5.26
—*
148204
218019
('In yM: tie
1000
How.trd et al., 1991
I.HF <>6
»
5.7
•
401218
108394
Ciesol. ni-
29
Howard cC al.. 1991
7.1 K 07
ft
1.97
86
95487
Cicsol, o-
7
Reward cl a|.. 1991
7.1 H 07
»
1.99
—1
90
106115
Cresol, p
0.667
Howard ct at, 1991
7.1 fi-07
ft
1.95
_*
83
1319773
Cresoh
29
Howard ct al., 1991 .
I.1E-06
Lym&n ct a), 1982
1.9
74
98826
Cumcnc
8
Huwajd ct jI , 1991
1.2F 02
ft
3 58
3107
21725462
Cyana/.ine
100
USEPA. I993g.
2.2
USEPA, 1993h
146
57125
Cyanide
16
USHPA. 1993g
-0.25
e
1
1861321
DCPA/Dacihal"
92
Hew aid cl al.. 1991
8.1 H-11
b
3.9
Worthing AHancc, 1991
6823
/2.V18
mm
. 5K34
Howard e! ul.. 1991
4.0K06
USKPA; 1993li
6.1
¦
992156
72559
DDR
5834
Howard el ;il , 1991
V5ED5
b
676
4419366
S0293
DDT
5694
Howard cl a!.. 1991
I.5E-05
ft
6.53
-•
2625851
1)63195
Dccabromodiphenyl oxide
360
How ard ct al.. 1991
4.5L-0R
SRC. 1993
9.79
SRC, 1993
4205813396
-------
Table A-3. (Continued)
CAS
Chemlral Name
AQUKOU5 AKRORIC
biodegradation halfliff
HENRY'S LAW CONSTANT
LOG OCTANOL-WATKR PARTITION
COEFFICIENT (lop; KmJ
PRtDICTED
StUIMF.NT
ADSORPTION
COEFFICIENT
(K )
l)ny«
Refere nc«
(atm-m7mo!e)
Reference
Value
Reference
84742
Di-n-bi»ryl phihaUtc
23
Howard el al, 1991
2.8E-14
b
4.6 i
34034
117840
Di-n-ociyl phihalate
28
Howard et al, 1991
4.5IM3
8.06
—*
83801084
3314 n
D in/inon/S pecirac ide
100
USEPA, 1993g
8.7E-08
-•
3.7
4339
53701
Dibt*n/o{a,h)anthracciie
940
Howard ct al., 1991
1.2E-07
6
669
3771812
132M9
Dihcn/uhinm
28
Howard el al, 1991
2 BK 04
4.07
10025
96128
l.)ibroim>-J cliloiupropanc, 1,2-
180
Howard el al.. 1991
2.34
•
200
124481
DibfoiraxrhlofOmcllianc
180
Howard cl al., 1991
8 lE-03
b
2.17
136
191H009
Dic;i (nb.i
100
USE PA, I993g
27F-08
0.4H
USEPA. 1993b
3
95.501
DiitilorttlNtnicnr., 1,2
180
Httwnrd el al, 1991
3.9E 03
b
3.43
— •
2355
511731
Dichloiubcii/.cjic. 1,3
180
Howard cl ;il , 1991
3.9K 03
t>
3.ft
—c
3460
106467
Uichloiobcu/cne, 1,4-
180
Howaid cl al , 1991
3.9h 03
b
342
2302
2532127ft
Dichlnro benzenes
180
Howaid ci al, 1991
3.9E-03
k
3.5
USEPA, I993h
2759
91941
Dn-hluiolttji/idinc. 3,3'-
180
Howard cl al., 1941
5.1 K 11
b
3 51
- ¦
2S27
75718
Dtchlortxlifluoromclhanc
180
Howaid cl ~! , 1991
3.6F-01
li
2.16
¦
133
75343
Dichloroethanc, 1,1
154
Howard ct al., 1991
4.8F 03
b
1.79
_•
58
107062
Dictilnrorthane, 1,2-
180
Howard a al., 1941
9.8 E -04
UShPA, 1989
1 47
_*
28
75354
Dichloroclhenc, |, 1-
180
Howard et al., 1991
5.4 h-02
t
2.13
124
156605
Dichloroethcnc, trans-1.2
15
I'SHPA, 1993s
9.4E-03
USEPA.1993h
2.07
—*
10H
156592
Diehloroirlhylenr, cis-1,2-
15
L'SF.PA. 1993b
7.6E-03
Lyman et ai., 1982
1.86
—' . '
67
75092
i)icIi!i)iomethanc
28
Hnward el al., 1991
2 2K 03
USHPA,1989
1 25
_*
17
120832
Dicfilojophenol, 2,4
H.I
Howard r.t al, 1991
4.8F.-07
_o
3 OK
•
1066
94757
Dichlorophenoxyjcctic acid, 2,4-
50
Howard et al„ 19*J1
5.5F.-0S
b
2.7
—*
451
78875
Dichloropropane, 1,2-
1289
Howard ct al., 199]
3.2E-04
9
1.97
86
542756
Drchlotopropcne, 1,3
28
Howard ct al., 1991
I.8E-03
USEPA, 1989
_»
93
62737
Dch!urvo.s
3
SRC, 1991
1.5
*
30
115322
Dicoiol/Kclthane
KM)
USEPA, 1993g
6.1
USIiPA, I993h
99215b
60571
f )9cicii in
10K0
Hnward ci al., 1991
1 5E-05
USEPA, I993h .
5-37
—1
190103
84662
Diethyl philiaiale
5b
Howaid ct a).. 1991
3.6E 13
2.5
¦¦¦-'
287
1191*04
DincLhoxybenzidine, 3,3'-
180
Howard cl aL, 1991
4.7H-1I
b
Ml
60
105674
Dineihylphenol, 2,4-
7
Howard et al., 1991
7.6E-07
b
2J6
—*
209
528290
DimUoben/erw, 1.2
IKO
Howard el al., 1991
1.6
37
' 99650
Dinitrobenzcnc, 1.3-
180
Howard el aL, 1991
1.5
30
-------
Tabic A-3. (Continued)
CAS
Chemical Nam<
aqueous aerobic
hiode<;kadation hai.f i.ifk
HENRY'S I.AW CONSTANT
LOG OCTANOI.-WATER PARTITION
COEFFICIENT (log K.J
PREDICTED
sedimknt
ADSORPTION
COEFFICIENT
(Kc)
nays
Reformer
(utm*niVmote)
Reference
Value
Rtffrcnct
10025-1
l)imtrolien/.Kiu:, 1,4
16
USHPA. 1903k
1J5
30
Dimiropherusl, 2,4
263
Howard (M ai, 1991
4.4H-07
USHPA, 1989
1.55
33
j 21 j >r>
Dmilfotoluc/ie, 2,4-
1 HO
Howard el ;i1. 1991
4.0K 07
b
2 01
_«
95
606202
Uuntrutoluenc, 2,6
IKO
Howard el n 1., 1991
4 OK 07
h
1.87
_«
69
HKH.S7
l)nio*^l:/l)NBP
123
Howard el aS, 1991
I 5K 10
b
3.14
_*
1222
12266?
Diphcitylhydiamic. 1.2
IKO
Howard el al., 1991
4.1K 09
h
2.9
710
29K044
PiMidoion
21
Howard ct al., 1991
3.98
8177
r 15297
Friilo.sulfan mixed isomer*
14
Howard et ai-, 1991
1.1 Ji 05
I'SKFA, I993h
4 1
i
10730
9>99KK
Kjidosulfan. ulpha
1(H)
USKPA, 19'Hk
I. IK-05
USKPA, 1993li
3.6
USHPA, 1993h
3460
33213659
hndosulfan. bcta-
100
IJSFPA, 149
l ib 05
USHPA,I993h
3 ft
USKPA, 199 3h
3460
7220K
lindrm
20
USFPA, I993g
7.5K-06
L'ShPA, I993h
5 06
—'
94245
*>631 n
Eihioii/BIudnu
16
USKPA, 1993g
5.1
USHPA, 1993H
103176
-
Klhyl ruetaU:
7
Howard ih ai , I99J
0 69
_•
5
I004J4
Eihylhcnzenc
10
Howard el al., 1991
K.9H 03
-b
3 14
1222
um\4
Lthylene dibromidc
180
Howard e( a) , 1991
2-5K-03
b
1.75
—1
53
206440
Hiuunniheni*
440
Howard et al., 1991
l.ftH-OS
SRC, 1993
5.12
_•
107954
86737
Kluuiene
60
Howard el al., 1991
3.5 h 05
b
4 ?.l
13763
76448
Hcptachlor
65
Howard et a!., 1991
2.6V. 03
SRC, 1993
6.26
1425148
1024^73
Hcpirtchlor epoxide
552
Howard ci al., 1991
3.2E-05
USF.PA. 1993h
5
82277
IHV'll
Hexachk>roU:nir.cnc
2U89
Howard et al., 1991
2.0K 03
5 K9
61680H
87683
II exach lore butadiene
180
Howard et al., 1991
8.2L-03
USHPA, 1989
4.81
53519
77474
Hexachloiocytloptfnladir.ne
?.K
Howard ct al, 1991
2.7K-01
SRC, 1993
5.39
_•
I9H907
6/721
Hcxachl uroethane
180
Howard ci al., 1991
6.IK (M
—1"
4
K556
51235042
Hcxa j.inone
100
USEPA, I993g
2-0E-I2
Lyman et al., 1982
0.28
Lyman el ai., 1982
2
12331**
Hydroquinone
7
Howard ct ai, 1991
3.HF.-U
USHPA. 19B9
0.55
3
]93395
Jndeno( 1,2,) cd>pyie«c
720
Howard el al, 1991
I.6K 06
USKPA, 1993N
6.fi5
<
3*145323
78591
hophoume
28
Howaid ct al., 199J
5.8 E-06
Lyman et al., 19)12
1.7
47
33K20530
Isopropalin
105
Howard ci al., 1991
5.74
Lyman el ai., 1982
439238
121755
Nlnlathion
51.5
Howard cl al, 1991
8.41:-10
»
2.89
694
108*16
M;ileu; anhydride
15
USKPA, 199^,
4.OK 11
Lyman et al., 19K2
-3 13
Lyman et al., 1982
0
72415
Mctfioxychlor
360
Howard el al., 1991
2.8E-07
t>
5.0B
—4
9B610
78933
Mdhy! ethyl ketone
7
Howard et al., 1991
5.6E-05
USHPA. 1989
0.28
2
-------
Draft National Sediment Contaminant Point Source Inventory
a
2
C
C
e
U
<*>
I
<
v
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e
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Table A-3. (Continued)
r.A s
Chfm ic *1 Name
AUIKOU-S AKROBIC
BIODKURADATION IIaLF-LIPE
HKNKY S LAW CONSTANT
LOG OCT* NOl,-WATER PARTITION
COKFViriKNT (1°R K#J
PREDICTFI)
SF.DIMtNT
ADSORPTION
COEFFICIENT
4.64
•
36425
1746016
1«U jchlurodib«n£o p Jioxm, 2,3,7,8
590
Howard el al., 1991
1 6K 05
SKC, 1991
6.5 3
_*
2625H51
79*45
Teuairhloroetharie, 1.1,2,2
180
Howard el al , IV91
5 4H 05
•
2.39
224
25322207
Telr;)L*hh>ir»rfha/)e, NOS
180
Howard d a).. 1991
24
229
127184
Tc irach lo roclhcnc
360
Howard el al., 1991
1.8E-02
b
2.67
422
56235
TelrjcMorofnclhanc
360
Howard el al., 1991
3.0E-02
b
2.73
483
58902
TcUdchlurophenol, 2,3,4,6-
1 HO
Howard el al., 1991
4 1
10730
961115
Tetrachtorvinphos/GarJona/Slirwfos
100
USEPA. 19V3g
2.2E-08
3.53
USEPA, 1989
2953
1081183
Toluene
22
Howard et al., 1991
5.7E-03
b
2.75
505
8001352
Toxaphenc
365
4
6.0E-06
USKPA, 1989
5 5
255141
75252
Tribiomomeihanc
180
Howard el al , 1991
5.7E-04
2.35
_<
204
•120H21
Trichloruben/cne. 1,2.4-
180
Hnwnrd et al , 1991
3.3H-03
b
4 03
B752
7iS5rf
Trirhforocthanc, 1,1,1-
273
Howard el a), 1991
1 6E-02
>
2 48
_•
274
79005
Trichlnrocihant, 1,1.2
360
Howard ct al . 1991
1 2H. 06
b
2.05
_¦
104
70016
TrichloroL'ihenc
360
Howard el al., 1991
1 9H 02
»
2.71
462
7 5694
Trichlomfluormne thane
360
Huwurd el al1991
9 7K 02
2.5 3
.
307
67663
Trichlorom ethane
180
Howaid et al . 1991
4 IK 03
—»
1.92
77
95954
Tfiirlilujophenol, 2.4,5
690
Howard et al., 1991
3 3K 03
3.9
6823
8B062
1'iiLhlyiophennl, 2,4.6-
70
Howard el al., 1991
3.3E-03
3 7
4339
93765
Tuthloiuphcno*yacciic acid, 2.4,5-
20
Howard «( al, 1991
8.7E-09
USEPA. I993h
1.31
1795
H721
Tnrhlorophenflxypropionir acid, 2,4,5
100
USEPA,I993g
3.5E-09
1 41
_•
2251
1582098
TrilicJr jiin/TrcHan
100
USEPA, 1993g
3 9E-09
5 4
USEPA, I903h
203460
95636
rnmmliylben/.une. 1,2.4-
28
Howard cl al., 1991
6.6k 03
3.7B
USEPA, 1989
5200
• 118967
Tunilroiolucuc -
180
Howard «l al., 1991
4.9E-05
SRC, 1993
2 3
182
-------
Table A-3. (Continued)
CAS
Chemlrut N'artic
AQUEOUS AEROBIC
BIODEG KA IIATlON HALF-LIFE
HENRY'S LAW CONSTANT
1.0(1 OCTANOL-WATER PARTITION
COEFFICIENT (log KmJ
PHKIUCTKI)
SEDIMENT
ADSORPTION
COEFFICIENT
Days
Reference
(aim-m Vraote)
Reference
Value
Reference
H)80S4
Vinyl uL'eialt;
Ih
IJSF.PA, m'ip
5.IF. tW
USF.PA. I9K4
0 73
*
5
IOK38J
Xylene, rn
28
Howard et al., 1991
6 lIi-03
b
3.2
—1
1399
95476
Xylene, o
2H
Howard et at.. 199!
6.1F. 03
k
3.13
i
1194
10M23
Xylene, p-
28
Howard ct al, 1991
6.11' 03
h
3.17
_*
wm
1330207
Xylcnc.s
2H
Howdtd et ill.. 1991
I.
32
USF.PA, I993li
1399
¦Draft log K.w values recommended by Samuel W. Kurickhoff and J. MauArlhur Long. Environmental Research Laboratory-Ailiens.
'Predicted using ihc EPA Office of Pollution Prevention and Toxics (OPPO "HENRY" structure-activity model (2/94).
'Ijteiaiuie values provided by Kuth Hull, Ouk Ridge National Laboratoiy (2/94),
dNo data are available; tliercfuie, a value of 365 days was selected as a high-end biodegradation rate.
'Assigned the biodegradatiuu cale lor 2.1,7,8 TC'DD based on simciural similarity.
-------
Draft Niitiomil Sediment Conliiminanl I'oint Source Inventory
Appendix B
Watershed Priority
Groups
-------
limit \.ilhin;il St'diinciil Ouil;iniin;in( I'oml Smnrc Iii\t-iil<>r\
Table B-1. Priority Group 1 Watersheds (HAZREL score greater than 80)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
01090004 Narragansett
(APC) Region(s): 1 State(s): MA, Rl
02030101 Lower Hudson
Region(s): 2, 1 State(s): NY, CT, NJ
02030103 Hackensack-Passaic
(APC) Region(s): 2 State(s): NY, NJ
02030104 Sandy Hook-Staten Island
(APC) Region(s): 2 State(s): NY, NJ
02030201 Northern Long Island
Region(s): 2 State(s): NY
02030202 Southern Long Island
(APC) Region(s): 2 State(s): NY
02040105 Middle Delaware-Musconetcong
(APC) Region(s): 3, 2 State(s): PA, NJ
02040202 Lower Delaware
(APC) Region(s): 3, 2 State(s): PA, NJ
02040203 Schuylkill
(APC) Region(s): 3 State(s): PA
02040204 Delaware Bay
Region(s):
Detroit
Region(s):
04090004
(APC)
04120104
(APC)
04140201
05030101
(APC)
2 State(s): NJ
5 State(s): Ml
Niagara
Region(s):
Seneca
Region(s):
Upper Ohio
Region(s): 3, 5 State(s): WV, PA, OH
2 State(s): NY
2 State(s): NY
08070100 Lower Mississippi-Baton Rouge
Region(s): 6 State(s): LA
12040104 Buffalo-San Jacinto
(APC) Region(s): 6 State(s): TX
18050004 San Francisco Bay
(APC) Region(s): 9 State(s): CA
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Pesticide PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Pesticide PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Primary Metal Industries
Divalent Metal PCS
Industrial Organic Chemicals
PAH PCS
Industrial Organic Chemicals
Divalent Metal PCS
Sewerage Systems
B-l
-------
N.iIiiiii:iI St'tlinii'iil ('
-------
Table B-2. (Continued)
Cataloging Watershed Name/ Dominant Chemical Class/ Data
Unit EPA Region(s) and State(s) Dominant Industrial Class Source
18070203 Santa Ana Divalent Metal PCS
Region(s): 9 State(s): CA Sewerage Systems
21010005 Eastern Puerto Rico Divalent Metal PCS
Region(s): 2 State(s): PR Sewerage Systems
-------
Dnil'i N;i(hiii;iI Scdiinciil ( <>iii.iinii):iiil I'miil Sniiric Invthlmv
Table B-3. Priority Group 3 Watersheds (HAZREL score range: 41-60)
Cataloging Watershed Name/
Unit EPA Regk>n(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
02020003 Hudson-Moosic
Region(s): 1,2 State(s): VT, NY, MA
02020004 Mohawk
Region(s): 2 State(s): NY
02020006 Middle Hudson
Region(s): 2, 1 State(s): NY, MA
02020008 Hudson-Wappinger
Region(s): 2 State(s): NY
02040201 Crosswicks-Neshaminy
Region(s): 3, 2 State(s): PA, NJ
02040206 Cohansey-Maurice
Region(s): 3, 2 State(s): DE, NJ
02060003 Gunpowder-Patapsco
(APC) Region(s): 3 State(s): MD, PA
02080206 Lower James
Region(s): 3 State(s); VA
03050103 Lower Catawba
Region(s): 4 State(s): NC, SC
03050105 Upper Broad
Region(s): 4 State(s): NC, SC
03160111 Locust
Regionls): 4 State(s): AL
04030204 Lower Pox
(APC) Regionls): 5 State(s): Wl
04040002 Pike-Root
(APC) Regionls): 5 State(s): Wl, IL
04050001 St. Joseph
(APC) Region(s): 5 State(s): IN, Ml
04110002 Cuyahoga
Region(s): 5 State(s): OH
05090101 Raccoon-Symmes
Region(s): 3, 5 State(s): WV, OH
05120201 Upper White
Region(s): 5 State(s): IN
06040006 Lower Tennessee
Region(s): 4 State(s): KY, TN
Divalent Metal PCS
Sewerage. Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
PCB PCS
Sewerage Systems
PCB PCS
Other Trade and Services
Divalent Metal PCS
Industrial Organic Chemicals
PAH PCS
Plastic Materials and Synthetics
PAH PCS
Industrial Organic Chemicals
PAH PCS
Plastic Materials and Synthetics
PAH PCS
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
PAH PCS
Industrial Organic Chemicals
Divalent Metal PCS
Sewerage Systems
PAH PCS
Industrial Inorganic Chemicals
B-5
-------
A|>|H-||(li\ |{
Table B-3. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical CIbss/ Data
Dominant Industrial Class Source
07010206 Twin Cities
(APC) Region(s): 5 State(s): Wl, MN
07110009 Peruque-Piasa
Region(s): 7, 5 State(s): MO, IL
07120003 Chicago
(APC) Region(s): 5 State(s): IN, IL
07140101 Cahokia-Joachim
(APC) Region(s): 7, 5 State(s): MO, IL
08080206 Lower Calcasieu
(APC) Region(s): 6 State(s): LA
08090100 Lower Mississippi-New Orleans
(APC) Region(s): 6 State(s): LA
15060106 Lower Salt
Region(s): 9 State(s): AZ
18050006 San Francisco Coastal South
Region(s): 9 State(s): CA
18070105 Los Angeles
(APC) Region(s): 9 State(s): CA
18070106 San Gabriel
Region(s): 9 State(s): CA
21010004 Southern Puerto Rico
Region(s): 2 State(s): PR
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Primary Metal Industries
Other TRI
Petroleum Refining
Divalent Metal PCS
Sewerage Systems
Other TRI
Industrial Organic Chemicals
Divalent Metal PCS
Industrial Organic Chemicals
PAH PCS
Industrial Organic Chemicals
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Public Utilities
PCS
PCS
PCS
PCS
PCS
B-6
-------
I>r;i|t N:itinu;il Sediment <'iinl:iniin;inl I'niiil Source lnveii
-------
Table B-4. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
03130001
03130002
(APC)
03150106
03150201
03160205
(APC)
04030101
04050004
04050006
04100009
04100011
04130001
(APC)
04140101
04140202
04150301
(APC)
05020005
05030106
05030201
Upper Chattahoochee
Region(s): 4 State(s): GA
Middle Chattahoochee-Lake Harding
Region(s): 4 State(s): GA, AL
Middle Coosa
Region(s): 4
Upper Alabama
Region(s): 4
Mobile Bay
Region(s): 4
State(s): AL
State(s): AL
State(s): AL
Manitowoc-Sheboygan
Region(s): 5 State(s): Wl
Upper Grand
Region(s): 5
Lower Grand
Region(s): 5
State(s): Ml
State(s): Ml
Lower Maumee
Region(s): 5 State(s): OH
Sandusky
Region(s): 5 State(s): OH
Oak Orchard-Twelvemile
Region(s): 2 State(s): NY
Irondequoit-Ninemile
Region(s): 2 State(s): NY
Oneida
Region(s): 2 State(s): NY
Upper St. Lawrence
Region(s): 2 State(s): NY
Lower Monongahela
Region(s): 3 State(s): PA, WV
Upper Ohio-Wheeling
Region(s): 3, 5 State(s): WV, OH, PA
Little Muskingum-Middle Island
Region(s): 3, 5 State(s): WV, OH
Pesticide
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
Divalent Metal
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Products and Finishing
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Primary Metal Industries
Divalent Metal PCS
Public Utilities
Divalent Metal PCS
Plastic Materials and Synthetics
B-8
-------
I>r;ill \.i(iiin:il Sfdiiiit'iil (nnt;iniin;int I'ninl Sninic Inventory
Table B-4. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
05030202 Upper Ohio-Shade
Regionls): 3, 5 Statels): WV, OH
05030204 Hocking
Regionls): 5 State(s): OH
05040002 Mohican
Region(s): 5 State(s): OH
05040004 Muskingum
Region(s): 5 State(s): OH
05060002 Lower Scioto
Regionls): 5 State(s): OH
05080001 Upper Great Miami
Region(s): 5 Statels): OH, IN
05080003 Whitewater
Regionls): 5 State(s): IN, OH
05090103 Little Scioto-Tygarts
Region(s): 3, 4, 5 State(s): WV, KY, OH
05090202 Little Miami
Regionls): 5 State(s): OH
05100205 Lower Kentucky
Regionls): 4 State(s): KY
05110003 Middle Green
Regionls): 4 State(s): KY
05120101 Upper Wabash
Regionls): 5 State(s): IN, OH
05120108 Middle Wabash-Littie Vermilion
Regionls): 5 State(s): IN, IL
05120206 Upper East Fork White
Regionls): 5 Statels): IN
05130202 Lower Cumberland-Sycamore
Regionls): 4 Statels): TN
05140102 Salt
Regionls): 4 Statels): KY
05140202 Highland-Pigeon
Regionls): 4, 5 Statels): KY, IN
05140206 Lower Ohio
Regionls): 4, 5 Statels): KY, IL
Divalent Metal
Public Utilities
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Public Utilities
Divalent Metal
Sewerage Systems
Divalent Metal
Pharmaceuticals
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
Divalent Metal
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Public Utilities
B-9
-------
Appendix B
Table B-4. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
06010102
06010104
(APC)
06010201
(APC)
06010207
(APC)
06020001
(APC)
06030002
06030005
(APC)
07020012
07080101
(APC)
07090001
07090005
07120001
07120006
(APC)
07130001
(APC)
08070201
10190003
10230006
12020003
South Fork Holston
Region(s): 4, 3 State(s): TN, VA
Holston
Region(s): 4 State(s): TN
Watts Bar Lake
Region(s): 4 State(s): TN
Lower Clinch
Region(s): 4 State(s): TN
Middle Tennessee-Chickamauga
Region(s): 4 State(s): GA, TN, AL
Wheeler Lake
Region(s): 4 State(s): AL, TN
Pickwick Lake
Region(s): 4 State(s): TN, AL, MS
Lower Minnesota
Region(s): 5 State(s): MN
Copperas-Duck
Region(s): 5, 7 State(s): IL, IA
Upper Rock
Region(s):
Lower Rock
Region(s):
Kankakee
Region(s):
Upper Fox
Region(s):
5 State(s): iL, Wl
5 State(s): IL, Wl
5 State(s): IN, IL, Ml
5 State(s): Wl, IL
Lower Illinois-Senachwine Lake
Region(s): 5 State(s): IL
Bayou Sara-Thompson
Region(s): 6, 4 State(s): LA, MS
Middle South Platte-Cherry Creek
Region(s): 8 State(s): CO
Big Papillion-Mosquito
Region(s): 7 State(s): IA, NE
Lower Neches
Region(s): 6 State(s): TX
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Mining
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
National Security
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Industrial Organic Chemicals
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Public Utilities
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Industrial Organic Chemicals
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Industrial Organic Chemicals
B-10
-------
I)i;ill N:ili<»ii;il Si-iliim-iil ( iiiil:tiiun:iiif Point Source
Table B-4. (Continued)
Cataloging Watershed Name/
Unit EPA Regionls) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
12040204 West Galveston Bay
Region(s): 6 State(s): TX
12070104 Lower Brazos
Region(s): 6 State(s): TX
12110202 South Corpus Christi Bay
Region(s): 6 State(s): TX
15050301 Upper Santa Cruz
Region(s): 9 State(s): AZ
16020201 Utah Lake
Region(s): 8 State(s): UT
16020203 Provo
Region(s): 8 State(s): UT
17080001 Lower Columbia-Sandy
Region(s): 10 State(s): WA, OR
17090003 Upper Willamette
Region(s): 10 State(s): OR
17090007 Middle Willamette
Regionls): 10 State(s): OR
17090012 Lower Willamette
(APC) Regionls): 10 State(s): OR
17110019 Puget Sound
(APC) Regionls): 10 State(s): WA
18050003 Coyote
(APC) Region(s): 9 State(s): CA
18070103 Calleguas
Region(s): 9 State(s): CA
18070303 San Luis Rey-Escondido
Region(s): 9 State(s): CA
19050002 Cook Inlet
Region(s): 10 State(s): AK
20060000 Oahu
Regionls): 9 State(s): HI
Divalent Metal PCS
Sewerage Systems
Other TRI
Other Chemical Products
Other TRI
Industrial Inorganic Chemicals
Divalent Metal PCS
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Divalent Metal' PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Other PCS
Sewerage Systems
B-ll
-------
A|)|uik1i\ H
Table B-4. (Continued)
Cataloging Watershed Name/
Unit EPA Region(si) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
B-12
-------
>r;ill N;iliun;il Sciliiiiinl ( oni.iniiiKiiil I'nini .Sminv Iiiwntoiy
Table B-5. Priority Group 5 Watersheds (HAZREL score range: 1-20)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
01020001 West Branch Penobscot
Region(s): 1 State(s): ME
01020005 Lower Penobscot
Region(s): 1 State(s): ME
01030003 Lower Kennebec
Region(s): 1 State(s): ME
01040002 Lower Androscoggin
Region(s): 1 State(s): ME, NH
01050002 Maine Coastal
Region(s): 1 State(s): ME
01050003 St. George-Sheepscot
Region(s): 1 State(s): ME
01060002 Saco
Region(s): 1 State(s): ME, NH
01060003 Piscataqua-Salmon Falls
Region(s): 1 State(s): MA, ME, NH
01070001 Pemigewasset
Region(s): 1 State(s): NH
01070002 Merrimack
Region(s): 1 State(s): NH, MA
01070005 Concord
Region(s): 1 State(s): MA
01080104 Upper Connecticut-Mascoma
Region(s): 1 State(s): NH, VT
01080107 West
Region(s): 1 State(s): VT
Divalent Metal PCS
Paper and Allied Products
Divalent Metal PCS
Paper and Allied Products
Mercury TRI
Industrial Inorganic Chemicals
Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Divalent Metal PCS
Textile Products
Other TRI
Paper and Allied Products
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Divalent Metal PCS
National Security
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Other Chemical Products
Other TRI
Textile Products
Divalent Metal PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Other TRI
Other Chemical Products
Divalent Metal TRI
Metal Products and Finishing
B-13
-------
A|>|ifii(li\ It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and Statels)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
01080201 Middle Connecticut
Region(s): 1 Statels): MA, NH, VT
01080202 Miller
Region(s): 1 Statels): MA, NH
01080203 Deerfield
Regionls): 1 Statels): MA, VT
01080204 Chicopee
Region(s): 1 Statels): MA
01080205 Lower Connecticut
Region(s): 1 Statels): MA, CT
01080206 Westfield
Region(s): 1 State(s): MA, CT
01080207 Farrrrington
Regionls): 1 Statels): CT, MA
01090002 Cape Cod
(APC) Region(s): 1 Statels): MA, Rl
01090005 Pawcatuck-Wood
Region(s): 1 State(s): Rl, CT
01100001 Quinebaug
Regionls): 1 Statels): CT, MA, Rl
01100002 Shetucket
Regionls): 1 Statels): CT, MA
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Primary Metal Industries
PCS
PCS
TRI
PCS
Divalent Metal
Public Utilities
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal
Sewerage Systems
Divalent Metal
Furniture and Fixtures
Divalent Metal
Sewerage Systems
PCS
TRI
PCS
PCS
PCB
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Products and Finishing
Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Paper and Allied Products
B-14
-------
I)r:tll N;itnin.il Scdinu-nt (°on(aiiiin:iiil I'oinl Source liivenlnry
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
01100006
02010001
02010003
02010006
02040103
02040104
02040205
02040207
02040301
(APC)
02040302
02050101
02050102
02050106
Saugatuck
Region(s): 1, 2 State(s): CT, NY
Lake George
Region(s): 1,
2 State(s): VT, NY
Winooski
Region(s): 1 State(s): VT
Great Chazy-Saranac
Region(s): 2 State(s): NY
Lackawaxen
Region(s): 3 State(s): PA
Middle Delaware-Mongaup-Brodhead
Region(s): 2, 3 State(s): NJ, PA, NY
Brandywine-Christina
Region(s): 2, 3 State(s): NJ, PA, DE,
Broadkill-Smyrna
Region(s): 3 State(s): DE
Mullica-Toms
Region(s): 2
State(s): NJ
Great Egg Harbor
Region(s): 2 State(s):
NJ
Upper Susquehanna
Region(s): 2, 3 State(s): NY, PA
Chenango
Region(s): 2 State(s): NY
Upper Susquehanna-Tunkhannock
Region(s): 3 State(s): PA
Metal PCS
Primary Metal Industries
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal
Other Trade and Services
Divalent Metal
Metal Products and Finishing
Divalent Metal
Sewerage Systems
PCS
PCS
PCS
PCS
Divalent Metal
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
MD Primary Metal Industries
Other TRI
Petroleum Refining
Divalent Metal PCS
Sewerage Systems
Other TRI
Plastic Materials and Synthetics
Divalent Metal PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Nonclassifiable
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Primary Metal Industries
Metal TRI
Primary Metal Industries
B-15
-------
Appeiwliv U
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
02050202 Sinnemahoning
Region(s): 3 State(s); PA
02050204 Bald Eagle
Region(s): 3 State(s): PA
02050205 Pine
Region(s): 3 State(s): PA
02050206 Lower West Branch Susquehanna
Region(s): 3 Statels): PA
02050301 Lower Susquehanna-Penns
Region(s): 3 State(s): PA
02050302 Upper Juniata
Region(s): 3 State(s): PA
02050304 Lower Juniata .
Region(s): 3 State(s): PA
02050305 Lower Susquehanna-Swatara
Region(s): 3 State(s): PA
02060002 Chester-Sassafras
Region(s): 3 State(s): PA, DE, MD
02060004 Severn
Region(s): 3 State(s): MD
02060006 Patuxent
Regionis): 3 State(s): MD
02060007 Blackwater-Wicomico
Region(s): 3 State(s): MD, DE
02060010 Chincoteague
Region(s): 3 State(s): MD, VA, DE
Divalent Metal
Primary Metal Industries
Divalent Metal
Paper and Allied Products
Divalent Metal
Primary Metal Industries
Other
Sewerage Systems
Divalent Metal
Public Utilities
TRI
PCS
TRI
PCS
PCS
PCS
Divalent Metal
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and-Finishing
Divalent Metal PCS
Primary Metal Industries
Other ¦ TRI
Rubber and Plastics Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Mercury PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS.
Sewerage Systems
Other TRI
Metal Products and Finishing
Divalent Metal
Public Utilities
PCS
B-16
-------
|)i;il( N;i(ii>nal Svdiniiiil CHii(;iiiiiii;int 1'oinl Sonne Imcnlon
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
02070002 North Branch Potomac
Region(s): 3 State(s): PA, WV, MD
02070004 Conococheague-Opequon
(APC) Region(s): 3 State(s): WV, VA, MD, PA
02070005 South Fork Shenandoah
Region(s): 3 State(s): VA
02070006 North Fork Shenandoah
Region(s): 3 State(s): VA, WV
02070008 Middle Potomac-Catoctin
Region(s): 3 State(s): MD, VA, DC
02070009 Monocacy
Region(s): 3 Statels): MD, PA
02070010 Middle Potomac-Anacostia-Occoquan
Region(s): 3 State(s): DC, MD, VA
02070011 Lower Potomac
Region(s): 3 State(s): MD, VA
02080104 Lower Rappahannock
Region(s): 3 Statels): VA
02080106 Pamunkey
Region(s): 3 State(s): VA
02080107 York
Region(s): 3 State(s): VA
02080201 Upper James
Regionls): 3 State(s>: VA, WV
Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Mercury PCS
Plastic Materials and Synthetics
Other TRI
Pharmaceuticals
Metal PCS
Textile Products
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Primary Metal Industries
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Public Utilities
Divalent Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Mercury PCS
Public Utilities
PCB PCS
Rubber and Plastics Products
Other TRI
Paper and Allied Products
B-17
-------
A|>|>riwh\ It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
02080202 Maury
Regionls): 3 State(s): VA
02080203 Middle James-Buffalo
Regionls): 3 State(s): VA
02080204 Rivanna
Region(s): 3 State(s): VA
02080205 Middle James-Willis
Regionls): 3 State(s): VA
02080207 Appomattox
Regionls): 3 State(s): VA
02080208 Hampton Roads
Regionls): 3 Statels): VA
03010101 Upper Roanoke
Regionls): 3 Statels): VA
03010102 Middle Roanoke
Regionls): 4, 3 Statels): NC, VA
03010103 Upper Dan
Regionls): 4, 3 Statels): NC, VA
03010104 Lower Dan
Regionls): 3, 4 Statels): VA, NC
03010107 Lower Roanoke
Region(s): 4 Statels): NC
03010201 Nottoway
Region(s): 3, 4 Statels): VA, NC
03020101 Upper Tar
Regionls): 4 Statels): NC
03020201 Upper Neuse
Region(s): 4 Statels): NC
03030003 Deep
Regionls): 4 Statels): NC
Mercury PCS
Sewerage Systems
Metal TRI
Lumber and Wood Products
Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Metal Products and Finishing
Other TRI
Other Chemical Products
Other TRI
Pharmaceuticals
Divalent Metal PCS
National Security
Metal PCS
Textile Products
Other TRI
Furniture and Fixtures
Metal PCS
Textile Products
Other TRI
Textile Products
Other TRI
Stone, Clay, and Glass Products
TRI
Metal
Textile Products
Other
Textile Products
TRI
TRI
Other
Industrial Organic Chemicals
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Other TRI
Other Chemical Products
B-18
-------
)i;itt National Scrlinu'iil Contaminant I'uint Sinine Inviiiloiv
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Regionls) and Statels)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
03030004 Upper Cape Fear
Region(s): 4 Statels): NC
03030005 Lower Cape Fear
Region(s): 4 State(s): NC
03030006 Black
Regionls): 4 State(s): NC
03030007 Northeast Cape Fear
Regionls): 4 State(s): NC
03040101 Upper Yadkin
Regionls): 3, 4 State(s): VA, NC
03040103 Lower Yadkin
Regionls): 4 Statets): NC
03040105 Rocky
Regionls): 4 State(s): NC, SC
03040201 Lower Pee Dee
(APC) Regionls): 4 Statels): NC, SC
03040202 Lynches
Regionls): 4 Statels): SC, NC
03040204 Little Pee Dee
Regionls): 4 Statels): NC, SC
03040205 Black
Region(s): 4 State(s): SC
03040206 Waccamaw
Regionls): 4 Statels): NC, SC
03040207 Carolina Coastal-Sampit
Regionls): 4 Statels): NC, SC
03050101 Upper Catawba
Regionls): 4 State(s): SC, NC
03050102 South Fork Catawba
Regionls): 4 State(s): NC
Divalent Metal TRI
Metal Products and Finishing
Mercury TRI
Industrial Inorganic Chemicals
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal TRI
Industrial Inorganic Chemicals
Divalent Metal TRI
Metal Products and Finishing
Other TRI
Other Chemical Products
Other TRI
Textile Products
Divalent Metal , PCS
Sewerage Systems
Other TRI
Textile Products
Divalent Metal PCS
Textile Products
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Other TRI
Textile Products
Divalent Metal PCS
Sewerage Systems
PAH PCS
Industrial Organic Chemicals
Divalent Metal TRI
Primary Metal Industries
Other TRI
Textile Products
Other TRI
Textile Products
B-19
-------
A|l|>t'll
-------
I>1:1 It l\:i(i
-------
Appendix U
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Regionls) and Statels)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
03070102 Lower Oconee
Regionls): 4 Statels): GA
03070104 Lower Ocmulgee
Region(s): 4 State(s): GA
03070105 Little Ocmulgee
Regionls): 4 Statels): GA
03070106 Altamaha
Region(s): 4 Statels): GA
03070201 Satilla
Regionls): 4 Statels): GA
03070203 Cumberland-St. Simons
Regionls): 4 Statels): FL, GA
03070204 St. Marys
Regionls): 4 State(s): GA, FL
03080101 Upper St. Johns
Regionls): 4 Statels): FL
03080102 Oklawaha
Regionls): 4 State(s): FL
03080203 Vero Beach
Regionls): 4 Statels): FL
03090202 Everglades
Regionls): 4 Statels): FL
03090204 Big Cypress Swamp
Regionls): 4 Statels): FL
03100202 Manatee
Region(s): 4 Statels): FL
Divalent Metal PCS
Sewerage Systems
PAH TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Pesticide PCS
Industrial Organic Chemicals
Other TRI
Industrial Organic Chemicals
Metal PCS
Paper and Allied Products
Other TRI
Paper and Allied Products
Divalent Metal TRI
Metal Products and Finishing
Mercury PCS
Sewerage Systems
Mercury PCS
Public Utilities
Divalent Metal PCS
Public Utilities
Other TRI
Textile Products
Metal PCS
Sewerage Systems
Divalent Metal PCS
Public Utilities
B-22
-------
Dealt N:i(11ui;il Sediment ("onl:imin:mt I'uiiil Smim- Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
03100206 Tampa Bay
Region(s): 4 State(s): FL
03100208 Withlacoochee
Region(s): 4 State(s): FL
03110201 Upper Suwannee
Region(s): 4 State(s): FL, GA
03110202 Alapaha
Region(s): 4 State(s): GA, FL
03110203 Withlacoochee
Region(s): 4 State(s): FL, GA
03120001 Apalachee Bay-St. Marks
Region(s): 4 State(s): FL, GA
03120002 Upper Ochlockonee
Region(s): 4 State(s): GA
03130003 Middle Chattahoochee-Wafter F. George Res.
Region(s): 4 State(s): GA, AL
03130004 Lower Chattahoochee
Region(s): 4 State(s): AL, FL, GA
03130005 Upper Flint
Region(s): 4 State(s): GA
03130006 Middle Flint
Region(s): 4 State(s): GA
03130008 Lower Flint
Region(s): 4 State(s): GA
03130010 Spring
Region(s): 4 State(s): GA
03130012 Chipola
Region(s): 4 State(s): AL, FL
Divalent Metal
Other Trade and Services
Divalent Metal
Primary Metal Industries
Divalent Metal
Public Utilities
PCS
TRI
PCS
PCS
Divalent Metal
Sewerage Systems
Other TRI
Plastic Materials and Synthetics
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Public Utilities
Pesticide PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Divalent Metal PCS
Public Utilities
Metal PCS
Sewerage Systems
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Other TRI
Pharmaceuticals
Other PCS
Sewerage Systems
Divalent Metal PCS
Public Utilities
B-23
-------
Appendix B
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and Statels)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
03140101 St. Andrew-St. Joseph Bays
Region(s): 4 State(s): FL
03140105 Pensacola Bay
Region(s): 4 State(s): FL
03140106 Perdido
Region(s): 4 Statels): FL, AL
03140107 Perdido Bay
(APC) Region(s): 4 State(s): FL, AL
03140201 Upper Choctawhatchee
Region(s): 4 State(s): AL
03140301 Upper Conecuh
Region(s): 4 State(s): AL
03140304 Lower Conecuh
Region(s): 4 Statels): AL, FL
03140305 Escambia
Region(s): 4 State(s): FL, AL
03150101 Conasauga
Region(s): 4 State(s): GA, TN
03150102 Coosawattee
Region(s): 4 State(s): GA
03150103 Oostanaula
Region(s): 4 Statels): GA
03150104 Etowah
Region(s): 4 State(s): GA
Divalent Metal PCS
Sewerage Systems
Other TRI
Industrial Organic Chemicals
Divalent Metal PCS
Public Utilities
Other TRI
Plastic Materials and Synthetics
Divalent Metal PCS
Sewerage Systems
Other TRI
Lumber and Wood Products
Mercury PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Metal TRI
Primary Metal Industries
Other PCS
Lumber and Wood Products
Other TRI
Lumber and Wood Products
Divalent Metal PCS
Industrial Organic Chemicals
Divalent Metal TRI
Plastic Materials and Synthetics
TRI
Other
Textile Products
PCS
Divalent Metal
Sewerage Systems
PCB PCS
Metal Products and Finishing
Other TRI
Textile Products
Divalent Metal PCS
Sewerage Systems
Other TRI
Other Chemical Products
B-24
-------
Drnll N.iIhmkiI StdiiiH'iil C'oiil:imin:iiit I'ninl Sniim- lin cnim v
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
03150105 Upper Coosa
Region(s): 4 State(s): AL, GA
03150107 Lower Coosa
Region(s): 4 State(s): AL
03150108 Upper Tallapoosa
Region(s): 4 State(s): GA, AL
03150109 Middle Tallapoosa
Region(s): 4 State(s): AL
03150202 Cahaba
Region(s): 4 State(s): AL
03150204 Lower Alabama
Region(s): 4 State(s): AL
03160101 Upper Tombigbee
Region(s): 4 State(s): MS, AL
03160103 Buttahatchee
Region(s): 4 State(s): AL, MS
03160104 Tibbee
Region(s): 4 State(s): MS
03160105 Luxapallila
Region(s): 4 State(s): AL, MS
03160106 Middle Tombigbee-Lubbub
Region(s): 4 State(s): MS, AL
03160107 Sipsey
Region(s): 4 State(s): AL
03160108 Noxubee
Region(s): 4 State(s): MS, AL
03160109 Mulberry
Region(s): 4 State(s): AL
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Textile Products
Divalent Metal TRI ,
Primary Metal Industries
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Other TRI
Textile Products
Other TRI
Stone, Clay, and Glass Products
Other TRI
Lumber and Wood'Products
Divalent Metal PCS
Metal Products and Finishing
PAH TRI
Industrial Inorganic Chemicals
Divalent Metal PCS
Sewerage Systems
Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Paper and Allied Products
Metal PCS
Sewerage Systems
Divalent Metal TRI
Primary Metal Industries
Other . TRI
Other Chemical Products
B-25
-------
Appendix It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
03160112 Upper Black Warrior
Region(s): 4 State(s): AL
03160113 Lower Black Warrior
Region(s): 4 State(s): AL
03160201 Middle Tombigbee-Chickasaw
Region(s); 4 State(s): AL, MS
03160203 Lower Tambigbee
Region(s): 4 State(s): AL
03170002 Upper Chickasawhay
Region(s): 4 State(s): MS, AL
03170004 Upper Leaf
Region(s): 4 State(s): MS
03170005 Lower Leaf
Region(s): 4 State(s): MS
03170006 Pascagoula
Region(s): 4 State(s): MS
03170007 Black
Region(s): 4 State(s): MS
03170006 Escatawpa
Region(s): 4 State(s): MS, AL
03170009 Mississippi Coastal
Region(s): 6, 4 State(s): LA, AL, MS
03180003 Middle Pearl-Silver
Region(s): 4 State(s): MS
04010102 Beaver-Lester
Region(s): 5 State(s): MN, Wl
PAH
Primary Metal Industries
Other
Petroleum Refining
Mercury
Sewerage Systems
PCS
TRI
PCS
TRI
PCS
Other
Paper and Allied Products
Divalent Metal
Industrial Organic Chemicals
Other TRI
Paper and Allied Products
PCS
Divalent Metal
Textile Products
Divalent Metal
Public Utilities
Other
Industrial Organic Chemicals
PCS
TRI
Other TRI
Plastic Materials and Synthetics
Metal PCS
Other Chemical Products
Other TRI
Lumber and Wood Products
Other TRI
Paper and Allied Products
Divalent Metal PCS
Industrial Inorganic Chemicals
PAH TRI
Plastic Materials and Synthetics
Divalent Metal PCS
Paper and Allied Products
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
B-26
-------
Dr;if( N.iljiui.il Ni-ilinu-iit Coiiin miiiunt I'ciint Source Imcntorv
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
04010201 St. Louis
Region(s): 5 State(s): Wl, MN
04010301 Beartrap-Nemadji
Regionls): 5 State(s): MN, Wl
04020101 Black-Presque Isle
Regionls): 5 State(s): Ml, Wl
04020102 Ontonagon
Regionls): 5 State(s): Ml, Wl
04020103 Keweenaw Peninsula
Regionls): 5 State(s): Ml
04020105 Dead-Kelsey
Regionls): 5 State(s): Ml
04020201 Bets y-Choco lay
Region
-------
A|>|>t'mli\ 1$
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
04040003 Milwaukee
{APCI Region(s): 5 State(s): Wl
04050002 Black-Macatawa
Region(s): 5 State(s): Ml
04050003 Kalamazoo
Region(s): 5 State(s): Ml
04050005 Maple
Region(s): 5 State(s): Ml
04060101 Pere Marquette-White
Region(s): 5 State(s): Ml
04060102 Muskegon
Region(s): 5 State(s): Ml
04060103 Manistee
(APCI Region(s): 5 State(s): Ml
04060105 Boardman-Chaiievoix
Region(s): 5 State(s): Ml
04060106 Manistique
Region(s): 5 State(s): Ml
04070001 St. Marys
Region(s): 5 State(s): Ml
04070002 Carp-Pine
Region(s): 5 State(s): Ml
04070004 Cheboygan
Region(s): 5 State(s): Ml
04070006 Thunder Bay
Region(s): 5 State(s): Ml
Divalent Metal. PCS
Sewerage Systems
Divalent Metal TRl
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRl
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Other TRl
Metal Products and Finishing
Other PCS
Petroleum Refining
Divalent Metal PCS
Sewerage Systems
Other TRl
Industrial Organic Chemicals
Divalent Metal PCS
Sewerage Systems
Other TRl
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Other PCS
Sewerage Systems
Divalent Metal PCS
Lumber and Wood Products
Other TRl
Lumber and Wood Products
B-28
-------
I)!";•!I N;itinn:il Sediment < i>n<.imiii:iiil I'ninl Smirte Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Regionls) and Statels)
Dominant Cherrecal Class/ Data
Dominant Industrial Class Source
04080201 Tittabawassee
Region(s): 5 State(s): Ml
04080202 Pine
Regionls): 5 State(s): Ml
04080203 Shiawassee
Regionls): 5 Statels): Ml
04080204 Flint
Regionls): 5 State(s): Ml
04080206 Saginaw
Regionls): 5 State(s): Ml
04090001 St. Clair
Regionls): 5 State(s): Ml
04090002 Lake St. Clair
(APC) Region(s): 5 State(s): Ml
04090003 Clinton
Regionls): 5 State(s): Ml
04090005 Huron
Region(s): 5 Statels): Ml
04100001 Ottawa-Stony
(APC) Regionls): 5 Statels): OH, Ml
04100002 Raisin
(APC) Regionls): 5 Statels): Ml, OH
Other PCS
Plastic Materials and Synthetics
Other TRI
Other Chemical Products
Metal PCS
Petroleum Refining
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Primary Metal Industries
Metal PCS
Public Utilities
Other TRI
Other Chemical Products
Divalent Metal PCS
Sewerage Systems
B-29
-------
Appendix It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
04100003 St. Joseph
Region(s): 5 State(s): MS, OH, IN
04100004 St. Marys
Region(s): 5 State(s): IN, OH
04100005 Upper Maumee
Region(s): 5 State(s): IN, OH
04100006 Tiffin
Region(s): 5 State(s): Ml, OH
04100007 Auglaize
Region(s): 5 State(s): OH, IN
04100008 Bianchard
Region(s): 5 State(s): OH
04100010 Cedar-Portage
(APC) Region(s): 5 State(s): Ml, OH
04100012 Huron-Vermilion
(APC) Region(s): 5 State(s): OH
04110004 Grand
Region(s): 5 State(s): OH
04120101 Chautauqua-Conneaut
(APC) Region(s): 2, 3, 5 State(s): NY, PA, OH
04120102 Cattaraugus
Region(s): 2 State(s): NY
Divalent Metal
Sewerage Systems
Divalent Metal
Primary Metal Industries
Divalent Metal
Sewerage Systems
Divalent Metal
Food and Kindred Products
PCS
TRI
PCS
TRI
PCS
Divalent Metal
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Other TRI
Petroleum Refining
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Other TRI
Plastic Materials and Synthetics
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Public Utilities
B-30
-------
Draft National Ncriinu'iit Contaminant Point Smirr«* Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
04120103 Buffalo-Eighteenmile
(APC) Region(s): 2 State(s): NY
04120200 Lake Erie
Region(s): 5, 2, 3 State(s): Ml, NY,
04130003 Lower Genesee
Region(s): 2 State(s): NY
04140102 Salmon-Sandy
Region(s): 2 State(s): NY
04140203 Oswego
Region(s): 2 State(s): NY
04150101 Black
Region(s): 2 State(s): NY
04150200 Lake Ontario
Region(s): 2 State(s): NY
04150302 Oswegatchie
Region(s): 2 State(s): NY
04150303 Indian
Region(s): 2 State(s): NY
04150304 Grass
Region(s): 2 State(s): NY
04150305 Raquette
Region(s): 2 State(s): NY
04150307 English-Salmon
Region(s): 2 State(s): NY
05010001 Upper Allegheny
Region(s): 3, 2 State(s): PA, NY
Divalent Metal PCS
Nonclassifiable
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
OH, PA Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal
Public Utilities
Divalent Metal
Sewerage Systems
Divalent Metal
Paper and Allied Products
Divalent Metal
Sewerage Systems
PCS
PCS
PCS
PCS
PCS
Divalent Metal
Metal Mining
Divalent Metal PCS
Nonmetallic Mineral Mining
Divalent Metal PCS
Primary Metal Industries
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Paper and Allied Products
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
B-31
-------
A|t|K-ii
-------
Dr.ill N;ilion;tl Sediment OmtaniiiKinl I'mnl Sonne Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
05020006 Youghiogheny
Region(s): 3 State(s): MD, PA, WV
05030102 Shenango
(APC) Region(s): 5, 3 State(s): OH, PA
05030104 Beaver
Region(s): 3 State(s): PA
05030105 Connoquenessing
Region(s): 3 State(s): PA
05040003 Walhonding
Region(s): 5 State(s): OH
05040005 Wills
Region(s): 5 State(s): OH
05040006 Licking
Region(s): 5 State(s): OH
05050001 Upper New
Region(s): 4, 3 State(s): NC, VA
05050002 Middle New
Region(s): 3 State(s): WV, VA
05050003 Greenbrier
Region(s): 3 State(s): WV
05050004 Lower New
Region(s): 3 State(s): WV
05050006 Upper Kanawha
Region(s): 3 State(s): WV
05050008 Lower Kanawha
Region(s): 3 State(s): WV
05060003 Paint
Region(s): 5 State{s): OH
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Public Utilities
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal
Primary Metal Industries
TRI
PCS
Divalent Metal
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Industrial Inorganic Chemicals
Divalent Metal PCS
Plastic Materials and Synthetics
Metal PCS
Leather and Leather Products
Divalent Metal
Sewerage Systems
PCS
Other PCS
Industrial Organic Chemicals
Other TRI
Industrial Organic Chemicals
Pesticide PCS
Industrial Inorganic Chemicals
Pesticide TRI
Pesticides
Divalent Metal
Sewerage Systems
PCS
B-33
-------
Appendix H
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
05070203 Lower Levisa
Region(s): 4 State(s): KY
05070204 Big Sandy
Region(s): 4, 3 State(s): KY, WV
05090104 Little Sandy
Region(s): 4 State(s): KY
05090201 Ohio Brush-Whiteoak
Region(s): 4, 5 State(s): KY, OH
05100101 Licking
Region(s): 4 State(s): KY
05100102 South Fork Licking
Region(s): 4 State(s): KY
05110001 Upper Green
Region(s): 4 State(s): KY
05110002 Barren
Region(s): 4 State(s): KY, TN
05110004 Rough
Region(s): 4 State(s): KY
05110005 Lower Green
Region(s): 4 State(s): KY
05110006 Pond
Region(s): 4 State(s): KY
05120103 Mississinewa
Region(s): 5 State(s): IN, OH
05120105 Middle Wabash-Deer
Region(s): 5 State(s): IN
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal
Petroleum Refining
Other
Petroleum Refining
Divalent Metal
Primary Metal Industries
Divalent Metal
Public Utilities
PCS
TRI
TRI
PCS
PCS
PCB
Public Utilities
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Stone, Clay, and Glass Products
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Other Trade and Services
Divalent Metal PCS
Public Utilities
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Primary Metal Industries
Other TRI
Furniture and Fixtures
B-34
-------
Draft National StriiiiK-nt (.'"iitamiiiant I'niiit Sniirii* limntoiy
Table B-5. {Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
05120106 Tippecanoe
Region(s): 5 State(s): IN
05120107 Wildcat
Region(s): 5 State(s): IN
05120109 Vermilion
IAPC) Region(s): 5 State(s): IL, IN
05120110 Sugar
Region(s): 5 State(s): IN
05120111 Middle Wabash-Busseron
(APC) Region(s): 5 State(s): IN, IL
05120112 Embarras
Region(s): 5 State(s): IL
05120113 Lower Wabash
Region(s): 5 State(s): IL, IN
05120114 Little Wabash
Region(s): 5 State(s): IL
05120202 Lower White
Region(s): 5 State(s): IN
05120204 Driftwood
Region(s): 5 State(s): IN
05120205 Flatrock-Haw
Region(s): 5 State(s): IN
05120207 Muscatatuck
Region(s): 5 State(s): IN
Divalent Metal PCS
Sewerage Systems
Other TRI
Printing and Publishing
Divalent Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Other TRI
Industrial Organic Chemicals
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
PAH TRI
Industrial Organic Chemicals
Divalent Metal
Sewerage Systems
Metal
Petroleum Refining
Divalent Metal
Sewerage Systems
Mercury
Sewerage Systems
PCS
TRI
PCS
PCS
PCS
PCB
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
B-35
-------
A|)|)i'lidi\ It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and Statels)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
05120208 Lower East Fork White
Region(s): 5 Statels): IN
05120209 Patoka
Region(s): 5 Statels): IN
05130101 Upper Cumberland
Regionls); 4 Statels): TN, KV
05130102 Rockcastle
Regionls): 4 Statels): KY
05130103 Upper Cumberland-Lake Cumberland
Regionls); 4 State(s): KY, TN
05130106 Upper Cumberland-Corded Hull Reservoir
Regionls): 4 Statels): TN
05130107 Collins
Regionls): 4 Statels): TN
05130201 Lower Cumberland-Old Hickory Lake
Regionls): 4 Statels): TN
05130203 Stones
Regionls): 4 Statels): TN
05130204 Harpeth
Regionls): 4 State(s): TN
05130205 Lower Cumberland
Regionls): 4 Statels): TN, KY
05130206 Red
Regionls): 4 Statels): TN, KY
Divalent Metal PCS
National Security
Divalent Metal TRI,
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Other . TRI
Rubber and Plastics Products
Divalent Metal PCS
Sewerage Systems
Metal TRI
Leather and Leather Products
Other PCS
Other Trade and Services
Divalent Metal PCS
Sewerage Systems
Other TRI
Petroleum Refining
Divalent Metal PCS
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Primary Metal Industries
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
B-36
-------
N:i(ion:il Nt-riiim-nl ('i>»l;imin:tnt I'niiit .Soiiirt- liiYriilorv
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
05140103 Rolling Fork
Region(s): 4 State(s): KY
05140104 Blue-Sinking
Region(s): 4, 5 State(s): KY, IN
05140203 Lower Ohio-Bay
Region(s): 4, 5 State(s): KY, IL
05140205 Tradewater
Region(s): 4 State(s): KY
06010103 Watauga
Region(s): 4 State(s): NC, TN
06010105 Upper French Broad
Regionls): 4 State(s): NC, TN
06010106 Pigeon
Regionls): 4 State(s): TN, NC
06010107 Lower French Broad
Region(s): 4 State(s): TN
06010108 Nolichucky
Region(s): 4 State(s): TN, NC
06010202 Upper Little Tennessee
Region(s): 4 State(s): GA, NC
06010204 Lower Little Tennessee
Region(s): 4 State(s): NC, TN
06010205 Upper Clinch
Region(s): 4, 3 State(s): TN, VA
06010208 Emory
Region(s): 4 State(s): TN
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Industrial Organic Chemicals
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Paper and Allied Products
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Plastic Materials arid Synthetics
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Textile Products
Divalent Metal PCS
Primary Metal Industries
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Public Utilities
Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
B-37
-------
V|>|H'inli\ H
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
06020002 Hiwassee
(APC) Region(s): 4 State(s): GA, NC, TN
06020003 Ocoee
Region(s): 4 State(s): GA, TN, NC
06030001 Guntersville Lake
(APC) Region(s): 4 State(s): TN, AL, GA
06030003 Upper Elk
Region(s): 4 State(s): TN, AL
06030004 Lower Elk
Region(s): 4 State(s): AL, TN
06030006 Bear
Region(s); 4 State(s): AL, MS
06040001 Lower Tennessee-Beech
(APC) Region(s): 4 State(s): TN, MS
06040002 Upper Duck
Region(s): 4 State(s): TN
06040003 Lower Duck
Region(s): 4 State(s): TN
06040004 Buffalo
Region(s): 4 State(s): TN
06040005 Kentucky Lake
(APC) Region(s): 4 State(s): KY, TN
07010103 Prairie-Willow
Region(s): 5 State(s): MN
07010104 Elk-Nokasippi
Region(s): 5 State(s): MN
Divalent Metal PCS
Sewerage Systems
Mercury TRI
Industrial Inorganic Chemicals
Divalent Metal PCS
Industrial Inorganic Chemicals
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Other TRI
Rubber and Plastics Products
Divalent Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Public Utilities
Divalent Metal TRi
Metal Products and Finishing
Divalent Metal PCS
Public Utilities
Divalent Metal TRI
Metal Products and Finishing
B-38
-------
Di'alt National Sediment Ci>nt;imin:int Point Source Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
07010108 Long Prairie
Region(s): 5 State(s): MN
07010202 Sauk
Region(s): 5 State(s): MN
07010203 Clearwater-Elk
Region(s): 5 State(s): MN
07010205 South Fork Crow
Region(s): 5 State(s): MN
07010207 Rum
Region(s): 5 State(s): MN
07020004 Hawk-Yellow Medicine
Region(s): 5 State(s): MN
07020007 Middle Minnesota
Region(s): 5 State(s): MN
07020009 Blue Earth
Region(s): 5, 7 State(s): MN, IA
07020010 Watonwan
Region(s): 5 State(s): MN
07020011 Le Sueur
Region(s): 5 State(s): MN
07030005 Lower St. Croix
Region(s): 5 State(s): MN, Wl
07040001 Rush-Vermillion
(APC) Region(s): 5 State(s): Wl, MN
07040002 Cannon
Region(s): 5 State(s): MN
07040003 Buffalo-Whitewater
(APC) Region(s): 5 State(s): Wl, MN
07040004 Zumbro
Region(s): 5 State(s): MN
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
PAH PCS
Other Trade and Services
Divalent Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Mercury PCS
Sewerage Systems
Other TRI
Lumber and Wood Products
Metal PCS
Leather and Leather Products
Other TRI
Leather and Leather Products
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
PCS
PCS
PCS
B-39
-------
\|>|K'»(liV It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
07040005 Trempealeau
Region(s): 5 State(s): Wl
07040006 La Crosse-Pine
Region(s): 5 State(s): Wl, MN
07040007 Black
Region(s): 5 State(s): Wl
07050003 South Fork Flambeau
Region(s): 5 State(s): Wl
07050005 Lower Chippewa
Region(s): 5 State(s): Wl
07050007 Red Cedar
Region(s): 5 State(s): Wl
07060001 Coon-Yellow
Region(s): 7, 5 State(s): IA, MN, Wl
07060003 Grant-Little Maquoketa
Region(s): 5, 7 State(s): Wl, IA
07060005 Apple-Plum
Region(s): 7, 5 State(s): IA, Wl, IL
07070001 Upper Wisconsin
Region{s): 5 State(s): Wl, Ml
07070002 Lake Dubay
Region{s): 5 State(s): Wl
07070003 Castle Rock
(APC) Region(s): 5 State(s): Wl
07070004 Baraboo
Region(s): 5 State(s): Wl
07070005 Lower Wisconsin
Region(s): 5 State(s): Wl
Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
Other
PCS
PCS
PCS
PCS
PCS
TRI
Stone, Clay, and Glass Products
Divalent Metal PCS
Sewerage Systems
Metal . PCS
Sewerage Systems
Divalent Metal PCS
Paper and Allied Products
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Other TRI
Other Chemical Products
Divalent Metal PCS
Paper and Allied Products
Other TRI
Paper and Allied Products
Divalent Metal PCS
Plastic Materials and Synthetics
Divalent Metal TRI
Metal Products and Finishing
B-40
-------
I>i :il I N.1111 >fi.11 Scilinu'iil ( 'itnl;iiiiiii;iiit I'nint Sniin c Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
07080104 Flint-Henderson
Region(s): 7/5 State(s): IA, 1L
07080105 South Skunk
Region(s): 7 State(s): IA
07080201 Upper Cedar
Region(s): 7, 5 State(s): IA, MN
07080202 Shell Rock
Region(s): 5, 7 State(s): MN, IA
07080203 Winnebago
Region(s): 7, 5 State(s): IA, MN
07080205 Middle Cedar
Region(s): 7 State(s): IA
07080206 Lower Cedar
Region(s): 7 State(s): IA
07080208 Middle Iowa
Region(s): 7 State(s): IA
07080209 Lower Iowa
Region(s): 7 State(s): lA
07090003 Pecatonica
Region(s): 5 State(s): Wl, IL
07090007 Green
Region(s): 5 State(s): IL
07100003 East Fork Des Moines
Region(s): 7, 5 State(s): IA, MN
07100005 Boone
Region(s): 7 State(s): IA
07100007 South Raccoon
Region(s): 7 State(s): IA
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Metal PCS
Pharmaceuticals
Other TRI
Industrial Organic Chemicals
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Other TRI
Metal Products and Finishing
Mercury
Sewerage Systems
Divalent Metal
Sewerage Systems
Mercury
Sewerage Systems
Divalent Metal
Sewerage Systems
Metal
Sewerage Systems
Divalent Metal
Sewerage Systems
PCS
PCS
PCS
PCS
PCS
PCS
B-41
-------
A|)|K'nili\ It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
07100008 Lake Red Rock
Region(s): 7 State(s): IA
07100009 Lower Des Moines
Region(s): 7 State(s): MO, IA
07110004 The Sny
Region(s): 7, 5 State(s): MO, IL
07110006 South Fork Salt
Regionls): 7 Statels): MO
07120002 Iroquois
Region(s): 5 State(s): IL, IN
07120005 Upper Illinois
Region(s): 5 State(s): IL
07120007 Lower Fox
Region(s): 5 State(s): IL
07130002 Vermilion
Region(s): 5 State(s): IL
07130003 Lower Illinois-Lake Chautauqua
Region(s): 5 State(s): IL
07130005 Spoon
Region(s): 5 State(s): IL
07130006 Upper Sangamon
Region(s): 5 State(s): IL
07130007 South Fork Sangamon
Region(s): 5 State(s): IL
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Other TRI
Pesticides
Other TRI
Primary Metal Industries
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Primary Metal Industries
Metal PCS
Sewerage Systems
Mercury PCS
Rubber and Plastics Products
Divalent Metal TRI
Metal Products and Finishing
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Pesticide TRI
Pesticides
Divalent Metal PCS
Lumber and Wood Products
Other TRI
Rubber and Plastics Products
Mercury PCS
Sewerage Systems
Divalent Metal TRI
Food and Kindred Products
Divalent Metal PCS
Public Utilities
B-42
-------
I>1:1 It Niitiniiiil St'dimeiit CiHiUimiii.-int I'mnl Soiiitc lnvt-iit<>r>
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
07130009 Salt
Region(s): 5 State(s): IL
07130010 LaMoine
Region(s): 5 State(s); IL
07130011 Lower Illinois
Region(s): 5 State(s): IL
07130012 Macoupin
Region(s): 5 State(s): IL
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Public Utilities
Divalent Metal TRI
Food and Kindred Products
Metal
Sewerage Systems
PCS
07140102 Meramec
Region(s): 7 State(s): MO
07140106 Big Muddy
(APC) Region(s): 5 State(s): IL
07140107 Whitewater
Region(s): 7 State(s): MO
07140201 Upper Kaskaskia
(APC) Region(s): 5 State(s): IL
07140202 Middle Kaskaskia
(APC) Region(s): 5 State(s): IL
07140203 Shoal
Region(s): 5 State(s): IL
07140204 Lower Kaskaskia
Region(s): 5 State(s): IL
08010100
(APC)
08010202
Lower Mississippi-Memphis
Region(s): 6. 4, 7 State(s): AR, MS, KY,
Obion
Region(s): 4 State(s): KY, TN
Divalent Metal PCS
Metal Mining
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Divalent Metal TRI
Food and Kindred Products
Divalent Metal PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Pesticide PCS
MO, TN Sewerage Systems
Other TRI
Other Chemical Products
Divalent Metal PCS
Rubber and Plastics Products
B-43
-------
Appendix B
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region!s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
08010203 South Fork Obion
Region(s): 4 State(s): TN
08010204 North Fork Forked Deer
Region(s): 4 State(s): TN
08010205 South Fork Forked Deer
Region(s): 4 State(s): TN
08010207 Upper Hatchie
Region(s): 4 State(s): TN, MS
08010208 Lower Hatchie
Region(s): 4 State(s): TN, MS
08010209 Loosahatchie
Region(s): 4 State(s): TN
08010210 Wolf
Region(s): 4 State(s): TN, MS
08010211 Horn Lake-Nonconnah
Region(s): 4 State(s): TN, MS
08020100 Lower Mississippi-Helena
Region(s): 6, 4 State(s): AR, MS
08020202 Upper St. Francis
Region(s): 7 State(s): MO
08020203 Lower St. Francis
Region(s): 7, 6 State(s): MO, AR
08020204 Little River Ditches
Region(s): 6, 7 State(s): AR, MO
08020205 L'Anguille
Region(s): 6 State(s): AR
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Metal PCS
Rubber and Plastics Products
Other TRI
Stone, Clay, and Glass Products
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
PAH TRI
Industrial Inorganic Chemicals
Pesticide TRI
Industrial Organic Chemicals
Divalent Metal PCS
Public Utilities
Other TRI
Petroleum Refining
Other TRI
Industrial Organic Chemicals
Divalent Metal TRI
Primary Metal Industries
Divalent Metal PCS
Furniture and Fixtures
Divalent Metal TRI
Printing and Publishing
Divalent Metal PCS
Primary Metal Industries
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Primary Metal Industries
B-44
-------
I)r:ilt N;i(i
-------
Appendix It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
08040301 Lower Red
Region(s): 6 State(s): LA
08040304 Little
Region(s): 6 State(s): LA
08050001 Boeuf
Region(s): 6 State(s): AR, LA
08060100 Lower Mississippi-Natchez
Region(s): 4, 6 State(s): MS, LA
08060201 Upper Big Black
Region(s): 4 State(s): MS
08070202 Amite
Region(s): 6, 4 Stat8(s): LA, MS
08070203 Tickfaw
Region(s): 6, 4 State(s): LA, MS
08070204 Lake Maurepas
Region(s): 6 State(s): LA
08070300 Lower Grand
Region(s): 6 State(s): LA
08080102 Bayou Teche
Region(s): 6 State(s): LA
08080103 Vermilion
Region(s): 6 State(s): LA
08080201 Mermentau Headwaters
Region(s): 6 State(s): LA
08080205 West Fork Calcasieu
Region(s): 6 State(s): LA
08090201 Liberty Bayou-Tchefuncta
Region(s): 6 State(s): LA
08090202 Lake Pontchartrain
Region(s): 6 State(s): LA
Other TRI
Lumber and Wood Products
Mercury PCS
Sewerage Systems
Other TRI
Lumber and Wood Products
Divalent Metal PCS
Sewerage Systems
Other TRI
Other Chemical Products
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Metal TRI
Industrial Organic Chemicals
Divalent Metal PCS
Pharmaceuticals
Mercury PCS
Public Utilities
Other TRI
Industrial Organic Chemicals
Divalent Metal PCS
Public Utilities
Divalent Metal PCS
Industrial Inorganic Chemicals
Other TRI
Industrial Organic Chemicals
Divalent Metal
Sewerage Systems
Divalent Metal
Pharmaceuticals
Divalent Metal
Sewerage Systems
PAH
PCS
PCS
PCS
PCS
Plastic Materials and Synthetics
B-46
-------
National St-rliiiunt Contaminant I'oint Sunl it- Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
08090203 Eastern Louisiana Coastal
Region(s): 4, 6 State(s): MS, LA
08090301 East Central Louisiana Coastal
Region(s): 6 State(s): LA
08090302 West Central Louisiana Coastal
Region(s): 6 State(s): LA
09020104 Upper Red
Region(s): 5, 8 State(s): MN, ND
09030004 Upper Rainy
Region(s): 5 State(s): MN
10120110 Rapid
Region(s): 8 State(s): SD
10120201 Upper Belle Fourche
Region(s): 8 State(s): WY, SD
10120202 Lower Belle Fourche
Region(s): 8 State(s): SD, MT, WY
10120203 Redwater
Region(s): 8 State(s): SD, WY
10130101 Painted Woods-Square Butte
Region(s): 8 State(s); ND
10130102 Upper Lake Oahe
Region(s): 8 State(s): ND, SD
10130203 Lower Heart
Region(s): 8 State(s): ND
10140101 Fort Randall Reservoir
Region(s): 8 State(s): SD
10150004 Middle Niobrara
Region(s): 7, 8 State(s): NE, SD
10170102 Vermillion
Region(s): 8 State(s): SD
Metal PCS
Sewerage Systems
Divalent Metal TRI
Petroleum Refining
Divalent Metal PCS
Other Chemical Products
Divalent Metal TRI
Stone, Clay, and Glass Products
Other PCS
Other Trade and Services
Metal TRI
Lumber and Wood Products
Other TRI
Paper and Allied Products
Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Mining
Metal PCS
Metal Mining
Divalent Metal PCS
Public Utilities
Divalent Metal PCS
Sewerage Systems
Metal PCS
Petroleum Refining
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
B-47
-------
A|i|)fndiv It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
10170203 Lower Big Sioux
Region(s): 5, 7, 8 State(s): MN, IA, SD
10180007 Middle North Platte-Casper
Region(s)-. 8 State(s): WY
10180009 Middle North Platte-Scotts Bluff
Region(s): 8, 7 State(s): WY, NE
10180014 Lower North Platte
Region(s): 7 State(s): NE
10190001 South Platte Headwaters
Region(s): 8 State(s): CO
10190002 Upper South Platte
Region(s): 8 State(s): CO
10190004 Clear
Region(s): 8 State(s): CO
10190005 St. Vrain
Region(s): 8 Stat8(s): CO
10190006 Big Thompson
Region(s): 8 State(s): CO
10190007 Cache La Poudre
Region(s): 8 State(s): CO, WY
10190009 Crow
Region(s): 8 State(s): CO, WY
10190012 Middle South Platte-Sterling
Region(s): 8, 7 State(s): CO, NE
10190016 Lower Lodgepole
Region(s): 7, 8 State(s): NE, CO, WY
10200101 Middle Platte-Buffalo
Region(s): 7 State(s): NE
10200102 Wood
Region(s): 7 State(s): NE
Metal PCS
Other Trade and Services
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Public Utilities
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Other Trade and Services
Divalent Metal PCS
Metal Mining
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Food and Kindred Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
B-48
-------
I)r;itt Naliumil Sfdiuit-nt CoiiUiuiiiuiiit Point Sonne Inveiilorv
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
10200103 Middle Platte-Prairie
Region(s): 7 State(s): NE
10200201 Lower Platte-Shell
Region(s): 7 State(s): NE
10200202 Lower Platte
Region(s): 7 State(s): NE
10200203 Salt
Region(s): 7 State(s): NE
10210007 Lower North Loup
Region(s): 7 State(s): NE
10210009 Loup
Region(s): 7 State(s): NE
10220001 Upper Elkhorn
Region(s): 7 State(s): NE
10220002 North Fork Elkhorn
Region(s): 7 State(s): NE
10220003 Lower Elkhorn
Region(s): 7 State(s): NE
10220004 Logan
Region(s): 7 State(s): NE
10230001 Blackbird-Soldier
Region(s): 7 State(s): IA, NE
10240001 Keg-Weeping Water
Region(s): 7 State(s): NE, IA, MO
10240003 East Nishnabotna
Region(s): 7 State(s): IA
10240005 Tarkio-Wolf
Region(s): 7 State(s): KS, NE, IA, MO
10240009 West Nodaway
Region(s): 7 State(s): IA
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Food and Kindred Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Products and Finishing
Other PCS
Other Trade and Services
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
B-49
-------
A|>|H'ii
-------
Dr;itl Nati»n:il Swlinu-nt Sonne Invtnlmv
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
11010002 James
Region(s): 7 State(s): MO
11010004 Middle White
Region(s): 6 State(s): AR
11010013 Upper White-Village
Region(s): 6 State(s): AR
11010014 Uttle Red
Region(s): 6 State(s): AR
11020001 Arkansas Headwaters
Region(s): 8 State(s): CO
11020002 Upper Arkansas
Region(s): 8 State(s): CO
11020003 Fountain
Region(s): 8 State(s): CO
11020009 Upper Arkansas-John Martin Reservoir
Region(s): 8, 7 State(s): CO, KS
11030010 Gar-Peace
Region(s): 7 State(s): KS
11030013 Middle Arkansas-Slate
Region(s): 7 State(s): KS
11030017 Upper Walnut River
Region(s): 7 State(s): KS
11030018 Lower Walnut River
Region(s): 7 State(s): KS
11050002 Lower Cimarron-Skeleton
Region(s): 6 State(s): OK
11050003 Lower Cimarron
Region(s): 6 State(s): OK
11060001 Kaw Lake
Region(s): 7, 6 State(s): KS, OK
11060004 Lower Salt Fork Arkansas
Region(s): 6, 7 State(s): OK, KS
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Industrial Organic Chemicals
Divalent Metal TRI
Primary Metal Industries
Metal
Sewerage Systems
Divalent Metal
Metal Products and Finishing
Divalent Metal
Metal Mining
Divalent Metal
Primary Metal Industries
Divalent Metal
Sewerage Systems
Other
Public Utilities
Divalent Metal
National Security
Other
Petroleum Refining
Metal
Petroleum Refining
Other
Petroleum Refining
Divalent Metal
Metal Products and Finishing
Metal
Sewerage Systems
Divalent Metal
Primary Metal Industries
Metal
Petroleum Refining
Other
Petroleum Refining
PCS
TRI
PCS
PCS
PCS
PCS
PCS
TRI
PCS
TRI
TRI
PCS
TRI
PCS
TRI
B-51
-------
Appi'hilix It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
11070104 Elk
Region(s): 7 State(s): KS
11070105 Lower Verdigris
Region(s): 6 State(s): OK
11070107 Bird
Region(s): 6 State(s): OK
11070204 Upper Neosho
Region(s): 7 State(s): KS
11070207 Spring
(APC) Region(s): 6, 7 State(s): OK, MO, KS
11070209 Lower Neosho
(APC) Region(s): 6 State(s): OK, AR
11090106 Middle Canadian-Spring
Region(s): 6 State(s): TX
11090201 Lower Canadian-Deer
Region(s): 6 State(s): OK, TX
11090203 Little
Region(s): 6 State(s): OK
11100302 Lower North Canadian
Region(s): 6 State(s): OK
11100303 Deep Fork
Region(s): 6 State(s): OK
11110101 Polecat-Snake
Region(s): 6 State(s): OK
11110103 Illinois
Region(s): 6 State(s): OK, AR
11110104 Robert S. Kerr Reservoir
Region(s): 6 State(s): AR, OK
11110105 Poteau
Region(s): 6 State(s): AR, OK
Other TRI
Metal Products and Finishing
Divalent Metal PCS
Other Chemical Products
Mercury
Sewerage Systems
PCS
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal TRI
Primary Metal Industries
Pesticide PCS
Sewerage Systems
Other TRI
Petroleum Refining
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Pesticide PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Metal
Sewerage Systems
PCS
PCB PCS
Sewerage Systems
Metal TRI
Petroleum Refining
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Primary Metal Industries
Divalent Metal PCS
Public Utilities
B-52
-------
Dnil't National Sicliimni Contaminant INiint Source Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
1110201 Frog-Mulberry
Region(s): 6 State(s): AR
1110202 Dardanelle Reservoir
Region(s): 6 State(s): AR
1110207 Lower Arkansas-Maumelle
Region(s): 6 State(s): AR
1120103 Upper Prairie Dog Town Fork red
Region(s): 6 State(s): TX
1130202 Cache
Region(s): 6 State(s): OK
1130206 Wichita
Region(s): 6 State(s): TX
1130208 Northern Beaver
Region(s): 6 State(s): OK
1130303 Middle Washita
Region(s): 6 State(s): OK
1140101 Bois D'Arc-Island
Region(s): 6 State(s): TX, OK
1140107 Upper Little
Region(s): 6 State(s): OK
1140108 Mountain Fork
Region(s): 6 State(s): AR, OK
1140109 Lower Little
Region(s): 6 State(s): AR, OK
1140203 Loggy Bayou
Region(s): 6 State(s): LA, AR
1140204 Red Chute
Region(s>: 6 State(s): LA
1140205 Bodcau Bayou
Region(s): 6 State(s): AR, LA
1140206 Bayou Pierre
Region(s): 6 State(s): LA
Divalent Metal PCS
Metal Products and Finishing
PCS
Divalent Metal
Public Utilities
PCS
TRI
Mercury
Sewerage Systems
Divalent Metal
Primary Metal Industries
Other TRI
Stone, Clay, and Glass Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Mercury PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Other PCS
Lumber and Wood Products
Other TRI
Lumber and Wood Products
Divalent Metal PCS
Metal Products and Finishing
Divalent Metal TRI
Primary Metal Industries
Divalent Metal
Public Utilities
Other
Petroleum Refining
PCS
TRI
B-53
-------
Appendix B
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and Statels)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
11140302 Lower Sulphur
Region(s): 6 State(s): AR, TX
111 40304 Cross Bayou
Region(s): 6 Statels): AR, TX, LA
11140305 Lake O'The Pines
Region(s): 6 Statels): TX
11140307 Little Cypress
Region(s): 6 Statels): TX
12010002 Middle Sabine
Region(s): 6 Statels): TX, LA
12010005 Lower Sabine
Region(s): 6 State(s): LA, TX
12020001 Upper Neches
Region(s): 6 State(s): TX
12020002 Middle Neches
Region(s): 6 State(s): TX
12020004 Upper Angelina
Region(s): 6 Statels): TX
12020005 Lower Angelina
Region(s): 6 State(s): TX
12030102 Lower West Fork Trinity
Region(s): 6 State(s): TX
12030103 Elm Fork Trinity
Region(s): 6 State(s): TX
12030105 Upper Trinity
Region(s): 6 State(s): TX
Divalent Metal PCS
Metal Products and Finishing
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Primary Metal Industries
Pesticide PCS
Other Trade and Services
Divalent Metal PCS
Industrial Organic Chemicals
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Industrial Organic Chemicals
Other TRI
Paper and Allied Products
Divalent Metal PCS
Petroleum Refining
Other TRI
Petroleum Refining
Metal PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Divalent Metal TRI
Industrial Organic Chemicals
Divalent Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
Other TRI
Metal Products and Finishing
B-54
-------
N.iihin;tl Sediment ('
-------
A|)|H'iuli\ H
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Indusfrial Class Source
12090205 Austin-Travis Lakes
Region(s): 6 State(s): TX
12090302 Lower Colorado
Region(s): 6 State(s): TX
12090402 East Matagorda Bay
Region(s): 6 State(s): TX
12100204 Lower Guadalupe
Region(s): 6 State(s): TX
12100302 Medina
Region(s): 6 State(s): TX
12100303 Lower San Antonio
Region(s): 6 State(s): TX
12100401 Central Matagorda Bay
Region(s): 6 State(s): TX
12100402 West Matagorda Bay
Region(s): 6 State(s): TX
12110201 North Corpus Christi Bay
Region(s): 6 State(s): TX
12110204 San Fernando
Region(s): 6 State(s): TX
12110208 South Laguna Madre
Region(g): 6 State(s): TX
13020101 Upper Rio Grande
Region(s): 6, 8 State(s): NM, CO
13020203 Rio Grande-Albuquerque
Region(s): 6 State(s): NM
13040100 Rio Grande-Fort Quitman
Region(s): 6 State(s): TX
14010002 Blue
Region(s): 8 State(s): CO
Other
Pharmaceuticals
TRI
PCS
Divalent Metal
Industrial Organic Chemicals
Metal PCS
Petroleum Refining
Other TRI
Petroleum Refining
Divalent Metal PCS
Plastic Materials and Synthetics
Divalent Metal PCS
Metal Products and Finishing
Other TRI
Petroleum and Coal Products
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Industrial Organic Chemicals
Divalent Metal TRI
Plastic Materials and Synthetics
Divalent Metal PCS
Industrial Organic Chemicals
Other TRI
Industrial Organic Chemicals
Pesticide PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Metal PCS
Metal Mining
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Other TRI
Petroleum Refining
Divalent Metal PCS
Metal Mining
B-56
-------
Dull Niiliiin.il St'diiiiviit (<>iit;imiii;in( I'oinl Nihiiit IiimiiIoi *
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and Statels)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
14010003 Eagle
Region(s): 8 Statels): CO
14010004 Roaring Fork
Regionls): 8 State(s): CO
14010005 Colorado Headwaters-Plateau
Region(s): 8 State(s): UT, CO
14030002 Upper Dolores
Regionls): 8 State(s): CO, UT
14030003 San Miguel
Region(s): 8 Statels): CO
14050001 Upper Yampa
Region(s): 8 Statels): CO
14060003 Duchesne
Region(s): 8 Statels): UT
14060007 Price
Region(s): 8 Statels): UT
14080104 Animas
Region(s): 6, 8 Statels): NM, CO
15010015 Las Vegas Wash
Regionls): 9 Statels): NV
15020015 Canyon Diablo
Regionls): 9 Statels): AZ
15050100 Middle Gila
Regionls): 9 Statels): AZ
15060103 Upper Salt
Regionls): 9 Statels): AZ
15060105 Tonto
Region(s): 9 Statels): AZ
15070101 Lower Gila-Painted Rock Reservoir
Regionls): 9 State(s): AZ
15070102 Agua Fria
Regionls): 9 Statels): AZ
16020101 Upper Weber
Regionls): 8 Statels): UT, WY
Divalent Metal. PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Mining
Divalent Metal PCS
Metal Mining
Mercury PCS
Sewerage Systems
Other TRI
Petroleum Refining
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Mining
Divalent Metal PCS
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Metal Mining
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal PCS
National Security
Divalent Metal PCS
Sewerage Systems
B-57
-------
A|)|H'ii
-------
Ural I Nalimuil Sediment ('oninmin:iiit I'uinl Stmrt't' Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and Statels)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
17060306 Clearwater
Region(s): 10 State(s): ID, WA
17070101 Middle Columbia-Lake Wallula
Region(s): 10 Statels): WA, OR
17070105 Middle Columbia-Hood
Region(s): 10 Statels): OR, WA
17080003 Lower Columbia-Clatskanie
Region(s): 10 State(s): WA, OR
17090008 Yamhill
Region(s): 10 Statels): OR
17090009 Molalla-Pudding
Region(s): 10 State(s): OR
17090010 Tualatin
Region(s): 10 State(s): OR
17090011 Clackamas
Region(s): 10 Statels): OR
17100207 Siltcoos
Region(s): 10 Statels): OR
17100308 Middle Rogue
Region(s): 10 Statels): OR
17110002 Strait Of Georgia
(APC) Regionls): 10 Statels): WA
17110011 Snohomish
Regionls): 10 Statels): WA
17110012 Lake Washington
Regionls): 10 Statels): WA
17110013 Duwamish
(APC) Region(s): 10 Statels); WA
Divalent Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
PAH PCS
Primary Metal Industries
Divalent Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Metal PCS
Sewerage Systems
Other TRI
Lumber and Wood Products
Metal PCS
Sewerage Systems
Divalent Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Metal TRI
Primary Metal Industries
Divalent Metal PCS
Paper and Allied Products
Divalent Metal TRI
Metal Products and Finishing
Mercury PCS
Paper and Allied Products
Divalent Metal TRI
Petroleum Refining
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Sewerage Systems
Other TRI
Metal Products and Finishing
B-59
-------
A|>|K'iuli\ H
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
17110014 Puyallup
(APC) Region(s): 10 State(s): WA
17110020 Dungeness-Elwha
Regionls): 10 State(s): WA
18010101 Smith
Region(s): 9,10 State(s): CA, OR
18010102 Mad-Redwood
Region(s): 9 State(s): CA
18020103 Sacramento-Lower Thomes
Region(s): 9 State(s): CA
18020106 Lower Feather
Region(s): 9 State(s): CA
18020109 Lower Sacramento
Region(s): 9 State(s): CA
18020111 Lower American
Region(s): 9 State(s): CA
18030012 Tulare-Buena Vista Lakes
(APC) Region(s): 9 State(s): CA
18040001 Middle San Joaquin-Lower Chowchilla
Region(s): 9 State(s): CA
18040003 San Joaquin Delta
Regionls): 9 State(s): CA
18060002 Pajaro
Regionls): 9 State(s): CA
18060010 Santa Ynez
Regionls): 9 State(s): CA
18060011 Alisal-Elkhorn Sloughs
Region(s): 9 State(s): CA
18060012 Carmel
Regionls): 9 Statels): CA
Divalent Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Other . TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Other .TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Other PCS
Sewerage Systems
Metal TRI
Lumber and Wood Products
Other
TRI
Plastic Materials and Synthetics
Divalent Metal . PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Metal PCS
Sewerage Systems
Divalent Metal PCS
Industrial Organic Chemicals
Divalent Metal TRI
Metal Products and Finishing
Divalent Metal TRI
Metal Products and Finishing
Metal
Sewerage "Systems
Divalent Metal
Public Utilities
Divalent Metal
Sewerage Systems
PCS
PCS
P-CS
B-60
-------
I>r;ill IN;ilimi;il Swlinii'iit (.'iiiil;iiuin;iii( I'ninl Source Inventory
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
18060013 Santa Barbara Coastal
Region(s): 9 State(s): CA
18070101 Ventura
Region(s): 9 State(s): CA
18070102 Santa Clara
Region(s): 9 State(s): CA
18070201 Seal Beach
(APC) Region(s): 9 State(s): CA
18070202 San Jacinto
Region(s): 9 State(s): CA
18070204 Newport Bay
(APC) Region(s): 9 State(s): CA
18070301 Aliso-San Onofre
(APC) Region(s): 9 State(s): CA
18070304 San Diego
(APC) Region(s): 9 State(s): CA
18080003 Honey-Eagle Lakes
Region(s): 9 State(s): NV, CA
18090102 Crowley Lake
Region(s): 9 State(s): CA, NV
18100200 Salton Sea
Region(s): 9 State(s): CA
19020001 Kotzebue Sound
Region(s): 10 State(s): AK
19060000 Southeast Alaska
Region(s): 10 State(s): AK
21010002 Cibuco-Guajataca
Region(s): 2 State(s): PR
21010003 Culebrinas-Guanajibo
Region(s): 2 State(s): PR
Divalent Metal
Sewerage Systems
Mercury
Sewerage Systems
Divalent Metal
Sewerage Systems
Other
PCS
PCS
PCS
TRI
Plastic Materials and Synthetics
Divalent Metal
Public Utilities
PCS
PCS
Other
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Metal PCS
Sewerage Systems
Divalent Metal TRI
Metal Products and Finishing
Divalent Metai PCS
Sewerage Systems
Divalent Metal PCS
Metal Mining
Pesticide PCS
Sewerage Systems
Divalent Metal PCS
Metal Mining
Divalent Metal PCS
Sewerage Systems
Other TRI
Paper and Allied Products
Divalent Metal PCS
Sewerage Systems
Metal TRI
Metal Products and Finishing
Divalent Metal PCS
Food and Kindred Products
B-61
-------
A|)|)i'iiili\ It
Table B-5. (Continued)
Cataloging Watershed Name/
Unit EPA Region(s) and State(s)
Dominant Chemical Class/ Data
Dominant Industrial Class Source
21020000 St. John-St. Thomas. U.S. Virgin Islands
Region(s): 2 State(s): VI
Metal PCS
Industrial Organic Chemicals
Other TRI
Petroleum Refining
B-62
-------
Draft National Sediment Contaminant Point Source Inventory
Appendix C
Detailed Analyses of
Industrial Categories
-------
I>¦;¦!t National ( niifaiiimanl I'timl Stiiiric Inventory
Table C-1. HAZREL Scores from TRI by Industrial Category and Chemical (for HA2REL
scores greater than 0)
Industrial Category/ Number of Raw Load HAZREL HAZREL
Chemical Name Facilities (Ib/yr) Score
Food and Kindred Products
Dichloroethane, 1,2-
Lead
Nickel
Furniture and Fixtures
Nickel
Toluene
Xylenes
Industrial Inorganic Chemicals
Acrytonitrile
Anthracene
Antimony
Benzene
Chlorobenzene
Chromium
Dichlorobenzene, 1,2-
Dichlorobenzene, 1,3-
Dichlorobenzene, 1,4-
Dichloroethane, 1,2-
Dichloropropane, 1,2-
Hexachlorobenzene
Hexachlorobutadiene
Hexachioroethane
Mercury
Naphthalene
Nickel
Silver
Tetrachloroethane, 1,1,2,2-
Tetrachloroethene
Tetrachloromethane
Trichloroethane, 1,1,1-
Trichloroethane, 1,1,2-
Trichloroethene
Trichloromethane
Xylenes
Zinc
Industrial Organic Chemicals
Acrylonitrile
Anthracene
Antimony
Benzene
Biphenyl
Bis(2-ethy!hexyl) phthalate
1
1
14
7
9
11
3
2
2
6
5
3
3
1
1
6
2
2
3
1
12
7
7
1
3
5
7
3
5
3
11
2
2
11
7
1
47
1,804
875
1,909
439
942
725
382
172
2,385
1,082
2,922
364
1,129
117
1,080
4,244
940
390
1,174
290
268
3,035
592
85
2,927
8,306
937
58
680
2,925
20,092
271
313
33,140
138
2,089
2,268
72,524
648
3.2E + 01
2.0E + 01
1.9E + 02
4.3E + 01
2.4E + 00
1.2E + 02
1.8E + 01
9.5E + 01
6.0E + 01
1.4E + 01
5.8E + 01
5.1 E + 00
9.7E + 01
2.2E + 00
9.0E + 01
7.6E + 01
2.1E + 02
1.3E + 03
2.2E + 02
1.7E + 01
1.9E + 03
4.2E + 01
5.7E + 01
1.2E + 02
8.8E + 02
5.4E - 02
1.2E-02
7.5E-00
1.4E-02
5.0E-01
2.4E-01
4.3E + 01
3.8E * 00
1.6E + 03
7.6E + 01
5.2E + 01
2.9E + 01
1.9E + 02
1.7E + 01
2
2
16
6
1
12
3
4
2
2
3
2
5
1
2
9
5
6
5
2
29
6
6
3
7
10
6
2
7
2
3
2
1
11
6
2
4
7
2
C-1
-------
A|>|)fii
-------
I)i ;ill N:iIhmi:iI .St-diiiH'iil
-------
Table C-1. (Continued)
Inckistrial Category/
Number of
Raw Load
HAZREL
HAZREL
Chemical Name
Facilities
(lb/yr)
Score
Dimethylphenol, 2,4-
1
63
1.3E + 00
1
Naphthalene
19
1,105
1.5E + 01
2
Nickel
7
163
1.6E + 01
4
Tetrachloroethene
14
272
1.8E + 01
4
Toluene
59
9,507
2.4E + 01
4
Trichlorobenzene, 1,2,4-
4
893
3.7E + 00
2
Trichloroethane, 1,1,1-
45
7,598
9.9E + 02
26
Trichloroethene
4
66
1.1E + 00
. .1
Xylenes
70
20,364
3.3E + 03
75
Other Trade and Services
Copper
2
68
1.3E + 00
1
Nickel
2
68
6.5E + 00
1
Xylene, m-
1
33
5.2E + 00
1
Xylene, o-
1
16
2.3E + 00
1
Xylene, p-
1
33
5.2E + 00
1
Paper and Allied Products
Biphenyl
2
680
1.8E + 00
1
Butyl benzyl phthaiate
3
1,846
2.8E + 00
1
Copper
3
64
1.2E + 00
1
Diethyl phthaiate
1
128
9.1 E + 00
1
Naphthalene
4
2,933
4.1 E + 01
4
Phenol
53
102,227
1.1E + 02
16
Toluene
16
4,815
1.2E + 01
5
Trichloroethane, 1,1,1-
2
68
8.8E + 00
1
Trichloroethene
1
158
2.7E + 00
1
Trichloromethane
98
519,845
6.2E + 02
81
Xylenes
15
1,781
2.9Et02
18
Pesticides
Arsenic
1
63
4.4E -r 00
1
BHC, gamma- \ Lindane
2
2
3.2E + 02
5
Copper
1
100
1.9E + 00
1
Dichloroethane, 1;2-
3
394
7.1 E - 00
2
Hexachlorobenzene
2
69
2.3E-02
5
Methoxychlor
1
5
2.9E-02
3
Naphthalene
4
374
5.2E - 00
1
Pentachlorophenol
1
11
8.7E + 00
1
Tetrachloromethane
2
15
2.0E + 00
1
Toluene
5
1,146
2.9E + 00
1
Xylene, m-
1
17
2.7E + 00
1
Xylene, o-
2
258
3.9E - 01
3
Xylenes
6
277
4.4E-01
5
Petroleum and Coal Products
Toluene
8
18,322
4.6E - 01
4
Xylene, m-
1
9
1 ,4E-r00
1
C-4
-------
I)r:ill N:111<>11:11 Scdiinrnl (
-------
\|>|H'll(llV (
Table C-1. (Continued)
Industrial Category/
Chemical Name
Number of
Facilities
Raw Load
(Ib/yr)
HAZREL
HAZREL
Score
Benzene
Biphenyl
Bis(2-ethylhexyl) phthalate
Cadmium
Chlorobenzene
Chromium
Copper
Dichlorobenzene, 1,2-
Dichloroethane, 1,2-
Dichloropropane, 1,2-
Diethyl phthalate
Dimethyl phthalate
Naphthalene
Nickel
Phenol
Tetrachloroethene
Tetrachloromethane
Toluene
Trichloroethane, 1,1,1-
Xylene, o-
Xylenes
Primary Metal Industries
Anthracene
Antimony
Arsenic
Benzene
Cadmium
Chromium
Copper
Cresols
Lead
Naphthalene
Nickel
Phenol
Polychlorinated biphenyls
Silver
Tetrachloroethene
Trichloroethane, 1,1,1-
Trichloroethene
Xylenes
Zinc
Printing and Publishing
Copper
Toluene
Xylenes
8
12
3
1
4
2
4
1
2
2
1
3
12
4
27
1
3
44
4
5
35
1
20
13
11
11
141
310
5
118
14
147
40
1
13
2
12
4
6
55
17
26
10
601
2,249
382
59
92
204
1,690
29
243
90
63
732
402
780
150,761
26
82
19,144
4,851
229
1,644
9
6,479
66
1,305
324
10,695
27,911
573
21,956
2,538
15,016
124,478
66
512
541
1.846
6,776
652
66,313
327
2.847
115
7.8E -i- 00
5.8E-00
1.0E-01
3.1E-01
1.8E + 00
2.9E + 00
3.2E + 01
2.5E + 00
4.4E ¦+¦ 00
2.0E-01
4.5E 00
1.2E-01
5.6E + 00
7.6E + 01
1.7E + 02
1.7E + 00
1.1E-01
4.8E + 01
6.3E + 02
3.4E-01
2.6E + 02
5.0E + 00
1.6E + 02
4.7E + 00
1.7E + 01
1.7E + 02
1.5E + 02
5.3E + 02
8.0E + 00
5.0E + 02
3.6E + 01
1.5E + 03
1.4E + 02
1.9E + 04
7.2E + 02
3.5E -i- 01
2.4E + 02
1.2E -r 02
1.0E-02
8.0E + 02
6.2E-00
7.1 E + 00
1.8E + 01
2
1
1
2
1
1
5
1
1
3
1
2
1
7
10
1
2
5
6
5
27
1
11
1
5
10
29
112
2
58
7
98
16
5
14
2
5
3
7
30
4
2
2
C-6
-------
hi .ill ViIion.iI Si'tlmii'iil < •¦iit.iiiiiii.iiit INiinl Soiikc ln\ciitiii \
Table C-1. (Continued)
Industoial Category/ Number of Raw Load HAZREL HAZREL
Chemical Name Facilities (ib/yr) Score
Rubber and Plastics Products
Bis(2-ethylhexyi) phthalate
Di-n-butyl phthalate
Diethyl phthalate
Dimethyl phthalate
Toluene
Trichloroethane, 1,1,1-
Xylenes
Zinc
Stone, Clay, and Glass Products
Bis(2-ethylhexyl) phthalate
Copper
Lead
Nickel
Phenol
Xylenes
Zinc
Textile Products
Antimony
Biphenyl
Bis(2-ethylhexyl) phthalate
Copper
Lead
Naphthalene
Nickel
Tetrachloroethene
Trichlorobenzene, 1,2,4-
Trichloroethane, 1,1,1-
Xylenes
28
4
2
2
16
3
6
3
2
7
13
4
21
4
2
2
22
2
3
2
2
1
9
14
1
5
3,609
1,382
11,508
1,978
3,823
70
63
449
265
283
104
102
18,931
1,205
183
5,161
125,681
1,327
950
751
15,006
323
27,152
42,232
250
27,058
9.7E + 01
7.6E + 00
8.2E + 02
3.4E + 01
9.6E + 00
9.0E + 00
1.0E + 01
5.4E + 00
7.2E + 00
5.4E -*¦ 00
2.4E-00
9.9E -r 00
2.1E + 01
1.9E + 02
2.2E + 00
1.3E + 02
3.3E + 02
3.6E + 01
1.8E + 01
1.7E + 01
2.1E + 02
3.1E + 01
1.8E + 03
1.8E + 02
3.3E + 01
4.3E + 03
14
1
3
3
3
1
2
2
2
1
1
2
4
6
1
4
28
2
3
2
3
2
21
14
2
15
C-7
-------
Dnill N;ilinn;il S<-iil.iiiiin;in( Point Smim* lim-ntory
Table C-2. HAZREL Scores from PCS by Industrial Category and Chemical (for HAZREL
scores greater than 0)
Industrial Category/
Number of
Raw Load
HAZREL
HAZREL
Chemical Name
Facilities
(lb/yr)
Score
Coal Mining
Cadmium
1
5
2.4E + 00
1
Mercury
2
<0.5
2.8E + 00
1
Nickel
1
401
3.9E-01
2
Silver
2
4
6.0E t00
1
Zinc
2
150
1.8E-00
1
Construction
Xylenes
1
31
5.0E + 00
1
Food and Kindred Products
Cadmium
5
31
1.6E + 01
2
Chromium
14
191
2.7E + 00
1
Copper
18
4,751
9.0E + 01
7
Dichloromethane
1
6,993
1.7E + 00
1
Lead
9
578
1.3E + 01
2
Mercury
4
9
6.2E + 01
6
Nickel
3
1,757
1.7E + 02
5
Silver
3
3
4.7E + 00
1
Tetrachloroethene
1
21
1.3E + 00
1
Trichloroethene
2
2,011
3.4E + 01
2
Trichloromethane
3
10,244
1.2E + 01
2
Zinc
38
13,731
1.6E + 02
17
Furniture and Fixtures
Cadmium
3
5
2.8E + 00
1
Chromium
3
127
1.8E + 00
1
Copper
7
168
3.2E + 00
2
Nickel
6
486
4.7E + 01
3
Silver
1
21
2.9E + 01
2
Industrial Inorganic Chemicals
Acenaphthene
1
59
2.9E-00
1
Acenaphthylene
1
105
I.SE-rOI
2
Anthracene
1
47
2.6E + 01
2
Antimony
3
933
2.3E + 01
2
Arsenic
14
2,176
1.5E-02
7
Benzo(a)anthracene
1
12
1.3E-02
3
Benzo(a)pyrene
1
3
1 .IE - 02
3
Benzo(b)fluoranthene
1
4
1.9E + 01
2
Benzo(k)fluorantherie
1
2
s.oe-tOO
1
Cadmium
15
341
1.8E + 02
9
Chromium
38
21,080
3.0E + 02
20
Chrysene
1
9
9.5E + 00
1
Copper
56
113,341
2.2E + 03
26
Dichloroethane, 1,2-
4
787
1.4E + 01
2
Preceding page blank
C-9
-------
A|>|X'ii
-------
I>¦ ;¦ It N:tli»n:il Sidihunl (nntimiiMiil I'ninl Sminc liivtnlniv
Table C-2. (Continued)
Industrial Category/
Number of
Raw Load
HAZREL
HAZRE
Chemical Name
Facilities
(Ib/yr)
Score
Hexachlorobenzene
16
191
6.5E -+¦ 02
20
Hexachlorobutadiene
13
314
6.0E -r 01
6
Hexachloroethane
14
176
1.0E + 01
3
Lead
41
9,546
2.2E + 02
20
Mercury
15
66
4.6E + 02
20
Naphthalene
18
264
3.7E + 00
1
Nickel
49
19,682
1.9E + 03
67
Pentachlorophenol
1
1
1.0E + 00
1
Phenanthrene
15
163
2.5E + 01
5
Phenol
33
2,544
2.8E + 00
1
Polychlorinated biphenyls
1
<0.5
4.8E + 00
1
Pyrene
13
152
2.1 E + 02
11
Silver
8
38
5.4E + 01
6
Tetrachloroethane, 1,1,2,2-
2
235
7.0E + 01
3
Tetrachloroethene
24
90,654
5.9E + 03
12
Tetrachloromethane
24
172,606
2.2E + 04
17
Toxaphene
2
80
3.7E + 03
7
Tribromomethane
2
4,444
1.3E-02
3
Trichloroethane, 1,1,1-
20
9,666
1.3E -*-03
12
Trichloroethane, 1,1,2-
20
367
7.3E-01
14
Trichloroethene
22
464
7.9E + 00
2
Trichloromethane
55
390,662
4.7E + 02
7
Zinc
88
584,485
7.0E + 03
87
Leather and Leather Products
Chromium
9
5.484
7.7E + 01
8
Lead
4
86
2.0E + 00
1
Lumber and Wood Products
Acenaphthene
2
421
2.1E + 01
2
Arsenic
7
108
7.7E + 00
1
Cadmium
1
8
4.3E + 00
1
Copper
8
172
3.3E + 00
1
Dimethylphenol, 2,4-
1
287
5.7E + 00
1
Fluorene
1
18
2.2E + 00
1
Pentachlorophenol
8
959
7.6E - 02
4
Zinc
7
5,439
6.5E-01
3
Metal Mining
Antimony
3
509
1.3E + 01
2
Arsenic
18
1,161
8.2E + 01
10
Cadmium
41
990
5.2E + 02
31
Copper
51
10,885
2.1E-r02
18
Lead
40
6,609
1.5E-02
17
Mercury
24
23
1.6E + 02
13
Nickel
8
412
4.0E + 01
5
Silver
12
36
5.0E + 01
6
C-ll
-------
Table C-2. (Continued!
Industrial Category/ Nivnber of Raw Load HAZREL HAZREL
Chemical Name Facilities (Ib/yr) Score
Zinc 57 289,600 3.5E + 03 52
Metal Products and Finishing
Antimony 9 24,174 6.0E + 02 5
Arsenic 19 3,911 2.8E + 02 12
Benzene 9 2,773 3.6E + 01 2
Bis(2-ethylhexyl) phthalate 6 80 2.2E + 00 1
Cadmium 124 968 5.0E + 02 34
Chromium 218 214,819 3.0E + 03 40
Copper 306 276,786 5.3E + 03 86
Dichloropropane, 1,2- 1 2,190 4.8E + 02 3
Lead 187 35,222 8.1E + 02 38
Mercury 15 5 3.3E + 01 5
Nickel 212 41,971 4.1E + 03 150
Phenol 7 1,465 1.6E + 00 1
Polychlorinated biphenyls 8 1,028 3.0E + 05 21
PCB-1016 1 <0.5 7.9E + 01 2
PCB-1221 1 <0.5 7.9E + 01 2
PCB-1232 1 <0.5 7.9E + 01 2
PCB-1242 2 3 7.6E + 02 5
PCB-1248 2 8 2.4E + 03 6
PCB-1254 1 <0.5 7.9E + 01 2
PCB-1260 1 <0.5 7.9E + 01 2
Silver 87 9,607 1.3E + 04 62
Tetrachloroethene 18 949 6.2E + 01 7
Tetrachloromethane 1 24 3.1E + 00 1
Toluene 17 2,708 6.8E + 00 1
Trichloroethane, 1,1,1- 23 318 4.1E + 01 5
Trichloroethene 52 13,803 2.3E + 02 11
Xylenes 8 3,584 5.7E-02 5
Zinc 330 1063404 1.3E-r04 127
National Security
Arsenic > 7 3,021 2.1E + 02 8
Cadmium 14 290 1.5E + 02 13
Chromium 11 5,760 8.1E + 01 7
Copper 20 5,551 1 .IE 02 11
DDT 1 <0.5 1.0E-01 2
Lead 19 3,284 7.6E-01 10
Mercury 9 97 6.8E-02 9
Nickel 1 2 490 4.8E - 01 11
Pentachloropheno! 1 10 7.6E-r00 1
Polychlorinated biphenyls 1 202 5.9E + 04 5
Silver 11 31 4.3E-01 8
Trichloroethene 3 625 1.1E + 01 2
Zinc 19 118,295 1.4E + 03 17
C-12
-------
Di ;ill Nalimial Sctliiiu nl ( ••iit.iiniii.inl I'oinl Nniiric In\i-iM• >i \
Table C-2. (Continued)
Industrial Category/
Number of
Raw Load
HAZREL
HAZRE
Chemical Name
Facilities
(lb/yr|
Score
Nonclassifiable
Antimony
3
59
1.5E + 00
1
Arsenic
12
186
1.3E + 01
3
Benzene
63
1,368
1.8E-01
4
Cadmium
24
253
1.3E-02
10
Chromium
27
425
5.9E 00
2
Copper
50
1,694
3.2E + 01
7
Hexachlorobutadiene
1
15
2.8E + 00
1
Lead
65
2,970
6.8E + 01
7
Mercury
13
5
3.2E + 01
4
Nickel
23
614
6.0E-01
8
Polychlorinated biphenyls
1
1
2.9E + 02
3
Silver
10
27
3.7E -i- 01
6
Toluene
33
8,203
2.1E + 01
2
Trichloroethene
34
11,986
2.0E + 02
8
Xylenes
28
216
3.5E + 01
5
Zinc
61
21,495
2.6E + 02
16
Nonmetallic Mineral Mining
Arsenic
2
29
2.0E + 00
1
Cadmium
3
191
9.9E + 01
5
Copper
3
431
8.2E + 00
2
Lead
3
267
6.1 E -(- 00
2
Mercury
5
137
9.6E x 02
3
Nickel
1
26
2.5E-00
1
Xylenes
1
14
2.3E + 00
1
Zinc
7
3,311
4.0E + 0.1
4
Oil and Gas Extraction
Nickel
1
16
1.6E + 00
1
Other Chemical Products
Antimony
2
331
8.3E + 00 -
1
Arsenic
7
514
3.6E + 01
5
Benzene
3
710
9.2E + 00
1
Cadmium
13
980
5.1E + 02
11
Chromium
12
808
1 .IE + 01
4
Copp8r
22
960
1.8E + 01
8
Dichloropropane, 1,2-
1
57
1.3E + 01
2
DDT
1
1
2.0E + 02
3
Lead
20
1,314
3.0E + 01
4
Mercury
8
6
4.5E - 01
5
Nickel
9
3,134
3.0E + 02
9
Silver
4
88
1.2E + 02
5
Tetrachloroethene
2
260
1.7E + 01
2
Toluene
9
1,250
3.1 E -i- 00
1
Trichloroethene
3
175
3.0E -i- 00
1
C-13
-------
A|i|H'iulix <
Table C-2. (Continued)
Industrial Category/
Number of
Raw Load
HAZREL
HAZREL
Chemical Name
Facilities
(lb/yr)
Score
Xylenes
2
8
1.2E + 00
1
Zinc
35
20,321
2.4E + 02
20
Other Trade and Services
Anthracene
4
3
1.6E + 00
1
Arsenic
14
89
6.3E + 00
3
Benzene
234
58,579
7.6E + 02
11
Benzo(a)anthracene
2
1
6.3E + 00
1
Benzo(a)pyrene
2
1
2.3E + 01
2
Benzo(b)fluoranthene
2
1
3.9E + 00
2
Benzo(k)fluoranthene
2
1
3.5E + 00
1
Cadmium
30
6,669
3.5E + 03
11
Chromium
30
786
1.1E + 01
3
Copper
70
1,878
3.6E + 01
9
Dibenzo(a,h)anthracene
1
<0.5
2.0E + 01
2
Dieldrin
2
<0.5
1 .1E-r 02
4
Endosulfan, alpha-
2
1
3.9E + 01
2
Hexachlorobenzene
2
1
2.0E-00
1
Indenod ,2,3-cd)pyrene
1
<0.5
1 .IE + 00
1
Lead
184
2,954
6.8E + 01
10
Mercury
14
4
2.8E + 01
5
Nickel
24
288
2.8E -"-01
8
Pentachlorophenol
2
9
6.9E-00
1
Polychlorinated biphenyls
4
14
4.0E-03
9
Pyrene
4
18
2.5E-01
3
PCB-1016
1
<0.5
3.8E + 00
1
PCB-1 221
1
<0.5
5.8E + 00
1
PCB-1 232
1
<0.5
3.8E + 00
1
PCB-1 242
1
<0.5
3.8E + 00
1
PCB-1 248
1
<0.5
3.8E-00
1
PCB-1 254
1
<0.5
3.8E-00
1
PCB-1 260
1
<0.5
2.9E-00
1
Silver
15
107
1.5E -*-02
8
Toluene
183
8,023
2.0E + 01
4
Trichloroethane, 1,1,1-
12
21
2.7E + 00
1
Xylenes
173
3,220
5.2E + 02
36
Zinc
98
15,363
1.8E + 02
22
Paper and Allied Products
Antimony
2
65
1.6E + 00
1
Arsenic
4
199
1.4E + 01
2
Bis(2-ethylhexyl) phthalate
2
158
4.3E + 00
1
Cadmium
11
232
1.2E + 02
9
Chromium
10
1,432
2.0E + 01
4
Copper
50
11,322
2.2E + 02
35
Dichloropropane, 1,2-
1
5
1.0E + 00
1
Lead
22
953
2.2E + 01
5
C-14
-------
I M all N.iIhiikiI St-tlinii iit < iiiil:iiniii:ni( I'oinl Simihv Invt'iilnn
Table C-2. (Continued)
Industrial Category/
Number of
Raw Load
HAZREL
HAZRE
Chemical Name
Facilities
llb/yr)
Score
Mercury
6
132
9.2E + 02
6
Nickel
7
70
6.8E + 00
4
Pentachlorophenol
2
2
1.3E + 00
1
Polychtorinated biphenyls
1
<0.5
1.3E + 02
3
PCB-1 242
2
<0.5
1.0E-01
2
Silver
5
30
4.2E-01
5
Toluene
4
3,095
7.7E-00
1
Trichloromethane
15
7,047
8.5E + 00
1
Zinc
65
491,774
5.9E + 03
66
Pesticides
Arsenic
4
86
6.1E-00
2
Chromium
5
652
9.1 E + 00
2
Copper
4
737
1.4E + 01
2
DCPA/Dacthal
1
286
2.6E + 00
1.
Mercury
1
8
5.7E + 01
2
Nickel
3
479
4.7E -t- 01
5
Zinc
9
9,491
1 .IE + 02
9
Petroleum and Coal Products
Toluene
3
4,997
1.2E + 01
2
Xylenes
2
9,528
1.5E + 03
4
Petroleum Refining
Arsenic
16
4,459
3.2E + 02
17
Benzene
19
2,011
2.6E + 01
4
Bis(2-ethylhexyl) phthalate
2
77
2.IE + 00
1
Cadmium
10
75
3.9E + 01
10
Chromium
92
15,045
2.1 E + 02
41
Copper
22
6,979
1.3E + 02
7
Lead
22
1,537
3.5E J- 01
5
Mercury
12
15
1.0E + 02
16
Naphthalene
2
4,299
6.0E-01
2
Nickel
13
2,806
2.7E + 02
18
Silver
7
20
2.8E + 01
5
Toluene
1 1
3,014
7.5E-00
1
Trichloroethane, 1,1,2-
1
5
1.0E + 00
1
Trichloroethene
1
1,457
2.5E -r 01
2
Xylenes
12
169
2.7E -r 01
4
Zinc
34
604,273
7.3E + 03
34
Pharmaceuticals
Arsenic
5
1,179
8.4E + 01
2
Benzene
1
273
3.5E + 00
1
Cadmium
5
10
5.0E + 00
1
Copper
19
606
1.2E -1-01
3
Dichloromethane
8
28,385
6.8E4 00
1
Lead
8
4,904
1 .IE + 02
3
C-15
-------
A|>|H'ti
-------
Drall N;iIiiiii;iI Si-ilinieiil ( 'oiiliiiiiiiwinl I'oiiil Suun i- In\i-nl
-------
A|t|K'ii(li\ ('
Table C-2. (Continued)
Industrial Category/
Chemical Name
Number of
Facilities
Raw Load
(Ib/yr)
HAZREL
HAZREL
Score
Lead
204
61,056
1.4E + 03
72
Mercury
42
9,980
7.0E + 04
45
Nickel
98
75,896
7.4E + 03
92
Pentachlorophenol
1
3
2.6E + 00
1
Polychlorinated biphenyls
14
16
4.5E + 03
21
PCB-1 254
1
<0.5
5.1E + 01
2
Silver
26
3,081
4.3E + 03
22
Tetrachloroethene
10
42
2.7E + 00
1
Tetrachloromethane
2
15,857
2,IE -03
4
Trichloromethane
7
1,993
2.4E + 00
1
Xylenes
29
101
1.6E + 01
3
Zinc
309
1445177
1.7E + 04
203
Rubber and Plastics Products
Antimony
1
4,363
1.1E + 02
3
Arsenic
3
32
2.3E + 00
1
Cadmium
5
18
9.5E + 00
1
Copper
17
1,320
2.5E + 01
3
Dichloromethane
3
89,604
2.2E + 01
2
Lead
11
255
5.9E + 00
1
Mercury
3
4,167
2.9E + 04
6
Nickel
4
29
2.8E + 00
1
Polychlorinated biphenyls
2
10
2.8E + 03
4
Pyrene
1
1
1.1E + 00
1
PCB-1 242
1
1
1.8E + 02
3
PCB-1 248
1
<0.5
2.6E + 01
2
Silver
1
8
1.1E + 01
2
Zinc
28
18,044
2.2E + 02
11
Sewerage Systems
Acenaphthene
11
57
2.8E + 00
1
Acenaphthylene
10
55
6.6E + 00
3
Acrylonitrile
12
320
1.5E + 01
4
Aldrin
12
2
7.3E + 02
15
Anthracene
9
56
3.1E-r 01
6
Antimony
66
47,292
1.2E - 03
49
Arsenic
225
443,928
3.2E + 04
186
Benzene
20
18,571
2.4E-02
7
Benzo(a)anthracene
11
62
6.9E + 02
19
Benzo(a)pyrene
10
58
2.4E -+¦ 03
23
Benzo(b)fluoranthene
11
138
6.6E-02
17
Benzo(ghi)perylene
10
64
5.1 E + 01
8
Benzo(k)fluoranthene
10
58
2.7E + 02
14
Bis(2-ethylhexyl) phthalate
95
35,839
9.7E + 02
53
Bromophenyl phenyl ether, 4-
10
57
4.4E * 00
1
BHC, alpha-
9
30
7.9E - 03
13
BHC, beta-
8
2
4.5E-02
11
C-18
-------
Draft N;i!i«in;il Si-cIinu'iiJ <'i>nlamiii:in( Point Smim* Inventory
Table C-2. (Continued)
dustrial Category/
Number of
Raw Load
HAZREL
HAZRE
Chemical Name
Facilities
tlb/yr)
Score
BHC, delta-
8
1
1.4E + 01
2
BHC, gamma- \ Lindane
30
140
2.9E + 04
65
Cadmium
716
167,046
8.7E + 04
675
Chlordane
17
57
2.9E + 04
44
Chlorobenzene
13
412
8.2E + 00
2
Chromium
619
218,172
3.1E + 03
265
Chrysene
10
57
5.7E-01
8
Copper
1393
1568237
3.0E-04
983
Di-n-butyl phthalate
34
1,715
9.4E -t- 00
2
Dibenzo(a,h)anthracene
10
58
1.3E + 04
32
Dibromochloromethane
32
10,298
2.2E -1- 02
13
Dichlorobenzene, 1,2-
12
197
1,7E -r 01
4
Dichlorobenzene, 1,4-
21
1,110
9.2E-01
8
Dichlorobenzenes
2
142
1.3E + 01
2
Dichloroethane, 1,2-
19
2,701
4.9E + 01
5
Dichloropropane, 1,2-
10
32
7.0E f 00
4
Dieldrin
10
377
6.0E-05
24
Diethyl phthalate
19
4,138
2.9E + 02
8
DDD
10
70
1.8E + 04
18
DDE
10
1,145
3.9E + 05
17
DDT
11
390
8.2E 4- 04
25
Endosulfan mixed isomers
10
5
1.7E + 01
3
Endosulfan, alpha-
9
2
5.8E + 01
5
Endosulfan, beta-
8
2
1.3E + 01
2
Endrin
18
867
8.1E + 02
6
Fluoranthene
11
60
7.2E + 00
3
Fluorene
11
75
9.0E + 00
4
Heptachlor
13
56
3.2E + 02
7
Heptachlor epoxide
9
2
6.3E + 02
12
Hexachlorobenzene
11
54
1.8E + 02
11
Hexachlorobutadiene
10
55
1.0E + 01
4
Hexachloroethane
10
58
3.4E + 00
1
lndeno(1,2,3-cd)pyrene
11
61
8.0E - 02
20
Lead
940
486,751
1.1E-04
429
Mercury
531
12,730
8.9E-04
609
Naphthalene
11
279
3.9E -i- 00
1
Nickel
690
830,784
8.1E-04
855
Nitrosodiphenylamine, N-
11
2,329
1.0E-03
9
Pentachlorophenol
16
387
3.1 E t 02
16
Phenanthrene
12 .
103
1.5E -i- 01
5
Phenol
25
5,247
5.8E + 00
1
Polychlorinated biphenyls
21
330
9.6E -i- 04
61
Pyrene
13
107
1.5E + 02
12
PCB-1016
9
3
7.4E + 02
18
PCB-1 221
8
3
8.8E - 02
15
PCB-1232
8
2
6.3E + 02
15
C-19
-------
\|)|K-Il(liv ('
Table C-2. (Continued)
Industrial Category/ Number of Raw Load HAZREL HAZREL
Chemical Name Facilities (Ib/yr) Score
PCB-1 242
8
2
6.3E -4- 02
15
PCB-1 248
8
2
6.3E - 02
15
PCB-1 254
8
2
6.3E + 02
15
PCB-1 260
8
2
6.3E + 02
15
Silver
446
522,139
7.3E ¦+¦ 05
742
Tetrachloroethane, 1,1,2,2-
11
379
1,1E -r 02
7
Tetrachloroethene
59
24,566
1.6E-03
55
T etrachloromethane
15
162
2.1 E -r 01
5
Toluene
58
76,290
1.9E + 02
11
Toxaphene
12
16
7.4E + 02
22
Tribromomethane
16
167
5.0E + 00
1
Trichloroethane, 1,1,1-
33
1,816
2.4E^02
18
Trichloroethane, 1,1,2-
11
100
2.0E + 01
5
Trichloroethene
28
2,418
4.1E + 01
6
Trichloromethane
154
547,417
6.6E + 02
31
Xylenes
7
24
3.8E + 00
1
Zinc
1415
4576125
5.5E + 04
1349
one. Clay, and Glass Products
Arsenic
3
354
2.5E + 01
2
Cadmium
3
3
1,3E + 00
1
Chromium
10
200
2.8E + 00
1
Copper
13
177
3.4E + 00
1
Lead
13
4,114
9.5E + 01
3
Silver
2
39
5.4E-01
2
Zinc
17
926
1 .IE - 01
3
xtile Products
Arsenic
3
641
4.6E + 01
2
Bis(2-ethylhexyl) phthalate
1
47
1.3E + 00
1
Cadmium
3
13
6.6E + 00
2
Chromium
52
5,391
7.5E r01
18
Copper
16
350,047
6.7E + 03
16
Lead
10
334
7.7E 00
2
Mercury
1
<0.5
1.9E + 00
1
Nickel
3
33
3.2E + 00
2
Silver
2
1
2.1 E + 00
1
Trichloroethene
2
88
1.5E + 00
1
Zinc
20
251,331
3.0E + 03
18
C-20
-------
UNITED STATES ENVIRONMENTAL PROTECTION AGENCY
WASHINGTON, D.C. 20460
23 1996
EPA-823-D-96-001
EPA-823-D-96-002
OFFICE OF
WATER
Dear Colleague:
The U.S. Environmental Protection Agency (EPA) is pleased to transmit for review the
Draft National Sediment Quality Survey: A Report to Congress on the Extent and Severity of
Sediment Contamination in Surface Waters of the United States and the Draft National Sediment
Contaminant Point Source Inventory: Analysis of Facility Release Data. EPA produced these
draft reports to fulfill the requirements set forth in the Water Resources Development Act
(WRDA) of 1992. The WRDA of 1992 directed the EPA to compile existing information on
sediment quality and sediment contaminant sources, and identify the location of sediments which
are contaminated.
The Draft National Sediment Quality Survey presents the results of a compilation and
evaluation of sediment chemistry and related biological measures taken from existing data
sources.— The Draft National Sediment Contaminant Point Source Inventory presents an analysis
of the sediment quality hazard posed by major point source dischargers, one category of potential
contaminant sources. EPA will publish and transmit final versions of these documents as a two-
volume report to Congress later this calendar year. EPA is distributing these drafts to interested
parties for a 30 day comment period. The agency will consider all comments received by August
30, 1996 for preparation of the final report to Congress. Please send comments to:
National Sediment Inventory Manager
Standards and Applied Science Division (4305)
U.S. Environmental Protection Agency
401 M Street, SW
Washington, DC 20460
Alternatively, individuals with internet access may send comments via electronic mail to the
following internet address: keating.jim@epamail.epa.gov
Thank you for your interest in EPA's contaminated sediment management program.
^Sincerely
Tudor T. Davies
Director. Office of Science and Technology
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