CATALOG DOCUMENTATION

NATIONAL COASTAL ASSESSMENT DATABASE
2 0 03 NEW YORK/NEW JERSEY HARBOR SYSTEM
SEDIMENT ANALYTE CONCENTRATION DATA

TABLE OF CONTENTS

1.	DATA SET IDENTIFICATION

2.	INVESTIGATOR INFORMATION

3.	DATA SET ABSTRACT

4.	OBJECTIVES AND INTRODUCTION

5.	DATA ACQUISITION AND PROCESSING METHODS

6.	DATA MANIPULATIONS

7.	DATA DESCRIPTION

8.	GEOGRAPHIC AND SPATIAL INFORMATION

9.	QUALITY CONTROL/QUALITY ASSURANCE

10.	DATA ACCESS

11.	REFERENCES

12.	TABLE OF ACRONYMS

13.	PERSONNEL INFORMATION

1. DATA SET IDENTIFICATION

1.1	Title of Catalog document
National Coastal Assessment Database
2003 New York/New Jersey Harbor System
Sediment Analyte Concentration Data

1.2	Author of the Catalog entry
Melissa M. Hughes, Raytheon

1.3	Catalog revision date
June 29, 2012

1.4	Data set name

Sediment Analyte Concentration Data

1.5	Task Group

Regional Environmental Monitoring and Assessment Program

1.6	Data set identification code
NA

1.7	Version
NA

1.8	Requested Acknowledgment

If you plan to publish these data in any way, EPA requires a standard
statement for work it has supported: "Although the data described in
this article have been funded wholly or in part by the U. S.
Environmental Protection Agency through its EMAP-Estuaries Program, it
has not been subjected to Agency review, and therefore does not
necessarily reflect the views of the Agency and no official
endorsement should be inferred."


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2.	INVESTIGATOR INFORMATION
2.1 Principal Investigator

Ms. Darvene A. Adams

U.S. Environmental Protection Agency - Region II

2.2. Investigation Participant
Ms. Sandi Robinson

U.S. Environmental Protection Agency - ORD/NHEERL/AED

3.	DATA SET ABSTRACT

3.1	Abstract of the Data Set

The Sediment Analyte Concentration data set reports the concentrations
of a suite of analytes measured in surficial sediment samples. These
samples were taken in the New York/New Jersey Harbor region. The suite
of compounds analyzed included: 4 major and 12 trace inorganic
elements, 23 polycyclic aromatic hydrocarbons (PAHs), DDT and its
metabolites, 10 other chlorinated pesticides, 20 PCB congeners, 17
dioxin and furan congeners (only analyzed in samples from selected
regions), mono-, di-, tri- and tetra-butyltins and acid volatile
sulfide (AVS). PCB concentrations are not included due to quality
assurance issues.

3.2	Keywords for the Data Set

sediment contaminants, inorganics, organics, AVS

4.	OBJECTIVES AND INTRODUCTION

4.1	Program Objective

The project was designed to support resource management decisions
related to pollution control and remediation throughout the New
York/New Jersey (NY/NJ) Harbor and to assist the New York-New Jersey
Harbor Estuary Program (HEP) in developing a contaminant monitoring
strategy to be included in the Comprehensive Conservation and
Management Plan (CCMP) for the NY/NJ Harbor system.

4.2	Data Set Objective

To provide an overview of the extent of the sediment contamination in
the NY/NJ harbor region based on chemical analyses.

4.3	Data Set Background Discussion

The New York/New Jersey Harbor System has been susceptible
to toxic contamination due to surrounding land uses. Harbor
sediments are contaminant reservoirs which can function as a
secondary source of these land use contaminants. Contaminated
sediments pose a substantial threat to Harbor resources and
are a management challenge. Adverse changes in the biota of
the system have been documented with increasing frequency, and
many of these changes have been linked to toxic contamination.

4.4 Summary of Data Set Parameters

Sediment Analyte Concentration data set values were based on the
results of analytical procedures performed in the laboratory.

5.	DATA ACQUISITION AND PROCESSING METHODS
5.1 Data Acquisition

5.1.1 Sampling Objective

Collect sediment grab samples suitable for the analysis of organic and
inorganic contaminants.


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5.1.2	Sample Collection Methods Summary

The grab sampler was lowered through the water column; the grab
penetrated the sediment by gravity releasing a trigger allowing the
jaws to close. When the grab was pulled from the sediment using
the winch, the jaws closed, encapsulating the sediment sample.

Multiple grabs were required to collect enough volume for analysis.
Overlying water was carefully drained. Aliquots of the top 2 cm
were taken from the undisturbed surface of individual grabs using a
60-cc syringe which had the narrow end removed to create a mini-corer.
When the sample container was filled to the top, it was sealed with
Teflon tape and immediately frozen.

The remaining top 2 cm of sediment from each grab was removed using
stainless steel spoons. A composite of all grabs was homogenized in a
glass bowl for 10 minutes. Subsamples were removed for metals,
organics, and TOC and transferred to sample containers that were stored
on ice.

5.1.3	Sampling Start Date
July 1, 2003

5.1.4	Sampling End Date
September 25, 2003

5.1.5	Platform

Sampling was conducted from the U.S.EPA research vessel, the R/V CLEAN
WATERS.

5.1.6	Sampling Gear

A 0.04-m2 or 0.1-m2, stainless steel, Young-modified Van Veen Grab
sampler was used to collect sediment grabs. This grab sampled an area
of 440 cm2 and a maximum depth of penetration in the sediment of 10 cm.

5.1.7	Manufacturer of Sampling Equipment
Young's Welding, Sandwich, MA

5.1.8	Key Variables

No data were recorded at the time of sample collection.

5.1.9	Collection Method Calibration

The sampling gear did not require any calibration. It required
inspection for deformities incurred due to mishandling or impact on
rocky substrates.

5.1.10	Sample Collection Quality Control

A successful grab had relatively level, intact sediment over the entire
area of the grab and a sediment depth at the center of at least 5
centimeters. Unacceptable grabs included those with grossly slumped
surfaces and those completely filled to the top, where the sediment was
in direct contact with the hinged top.

The van Veen Grab was rinsed with ambient seawater between grabs at a
station to remove remaining organisms. It was thoroughly cleaned with
detergent and water between stations.


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5.1.11 Sample Collection Method Reference

Reifsteck, D.M., C.J. Strobel and D.J. Keith. 1993. Environmental
Monitoring and Assessment Program - Near Coastal Component: 1993
Virginian Province Field Operations and Safety Manual. U.S.
EPA NHEERL-AED. Narragansett, RI.

5.2 Data Preparation and Sample Processing

5.2.1	Sample Processing Objective

Process sediment samples to accurately measure organic and inorganic
compounds, TOC and AVS.

5.2.2	Sample Processing Methods Summary

The samples were analyzed by standard methods.

5.2.3	Sample Processing Method Calibration

Appropriate Sediment Reference Materials (SRM) from the National
Research Council of Canada (NRCC), the National Institute of Technology
(NIST) and Cambridge Isotope Laboratories were used.

5.2.4	Sample Processing Quality Control

All analyses employed appropriate quality assurance samples.

5.2.5	Sample Processing Method Reference

Adams, D. 1998. Quality Assurance Project Plan for Environmental
Monitoring, A 5-year Revisit of Sediment Quality in the NY/NJ Harbor.
U.S. Environmental Protection Agency, Region 2, Edison, NJ.

6. DATA MANIPULATIONS
NA

6.1	Name of new or modified values
NA

6.2	Data Manipulation Description
NA

6.3	Data Manipulation Examples

NA





DATA DESCRIPTION





1.1 Description of Parameters



Attribute Name

Format

Description

Data Group

VARCHAR2(4)

Data group conducting sampling

Sampling Year

NUMBER(4.0)

Data collection year

Station Name

VARCHAR2(20)

The station identifier

Sampling Collection Date

DATE

Date of sample collection

Latitude Decimal Degrees

NUMBER(9.3)

Decimal degrees of latitude

Longitude Decimal Degrees

NUMBER(9.3)

Decimal degrees (-) of longitude

Analyte Code

VARCHAR2(8)

Analyte Code

Analyte Concentration

NUMBER(13.6)

Concentration (dry wt.)

Unit Code

VARCHAR2(15)

Unit of measure

Detection Limit Cone.

NUMBER(13.6)

Method Detection Limit

7.1.6 Precision to which values are reported

The precision is indicated by the format reported under 7.1.7 and 7.1.8


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7.1.7/7.1.8 Minimum/Maximum value in data set

Analyte Code

Minimum

Maximu

14_HXCDD

0 . 02

41.29

14_HXCDF

0 . 04

239 .34

16_HXCDD

0 .09

104 .41

16_HXCDF

0 . 03

44 .3

17_HXCDD

0 . 07

98 .48

17_HXCDF

0 . 02

4.6

18_HPCDD

0 . 96

2778 .18

18_HPCDF

0.2

773 .68

18_PECDD

0 .11

20.04

18_PECDF

0 . 04

86

19_HPCDF

0 .09

85 . 73

2 8_HXCDF

0 . 04

30.81

2 8_PECDF

0 . 08

70 .19

ACENTHE

10

2100

ACENTHY

10

1100

AG

0 . 025

8.6

AL

1980

45400

ALDRIN

0.5

10

ALPHACHL

0.5

42

ANTHRA

10

2800

AS

0 . 94

82 .8

BENANTH

10

5300

BENAPY

10

3900

BENZOBFL

10

3700

BENZOKFL

10

1500

BENZOP

10

2200

BIPHENYL

10

230

CD

0 .12

6.2

CHRYSENE

10

3900

CR

5 .1

328

CU

1.6

383

DBT

0 .56

1205 . 01

DIBENTP

10

1000

DIBENZ

10

240

DIELDRIN

0.39

10

DIMETH

10

890

END0SUL1

0.49

10

ENDOSUL2

0.5

10

ENDRIN

0.5

10

ENDSUSFT

0.5

10

FE

3170

59300

FLUORANT

10

4400

FLUORENE

10

2200

HEPTACHL

0.5

10

HEPTAEPO

0.5

10

HEXACHL

0.5

10

HG

0.017

9.4

INDENO

10

2200

LINDANE

0.37

10

MBT

0 .73

73 .82

MENAP1

10

1000

MENAP2

10

790

MEPHEN1

10

3100

MIREX

0.5

13

MN

70 . 9

1690


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NAPH

10

1100

NI

1.5

70 .6

OCDD

8 . 54

18796 . 7

OCDF

0 .62

2746 . 08

OPDDD

0.5

110

OPDDE

0.5

65

OPDDT

0.5

20

PB

3 .4

347

PCB101

0.2

120

PCB105

0 . 18

27

PCB110

0.31

95

PCB118

1

10

PCB126

0.28

10

PCB128

0 .19

8.8

PCB138

0.35

1100

PCB153

0.28

64

PCB17 0

0.34

21

PCB18

1

220

PCB180

0.27

26

PCB187

0 .22

22

PCB195

0.31

5

PCB206

0 . 15

17

PCB2 0 9

0 .19

19

PCB28

0.3

270

PCB44

0.25

140

PCB52

0.4

150

PCB66

0.39

170

PCB77

1

34

PCB8

1

51

PHENANTH

10

3900

PPDDD

0.36

890

PPDDE

0.46

120

PPDDT

0.5

390

PYRENE

10

5300

SB

0 .18

5.6

SE

0.34

4

SN

3 .4

255

TBT

0.34

3630 .72

TCDD

^D
O

O

235.81

TCDF

0 . 05

169.77

TETBT

0 . 57

353 . 03

THPD

2 .22

5464 .87

THPF

0.3

1549 . 11

THXD

0 .23

826 .22

THXF

0 .18

823

TNONCHL

0.5

23

TOXAPHEN

50

1000

TPND

0 .11

126 .55

TPNF

0

458 . 19

TRIMETH

9.5

1400

TTED

O

o
U3

272 . 17

TTEF

^D
O

O

416.61

ZN

7 . 1

705

7.2 Data Record Example
7.2.1 Column Names for Example Records

Data Group,Sampling Year,Station Name,Sampling Collection Date,


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Latitude Decimal Degrees,Longitude Decimal Degrees,Analyte Code,

Analyte Name,Analyte Category,Analyte Concentration,Units,

Detection Limit Concentration,QA Code

7.2.2 Example Data Records

R-EMAP Region 2,2003,JB301,31-Jul- 03,40.629,-73.759,AG,Silver,Metal,
0.0 52,mg/kg,0.011, , CH-QQ

R-EMAP Region 2,2003,JB3 01,31-Jul-03,40.629,-73.759,AL,Aluminum,Metal,
1980,mg/kg,6.7,,CH-TT

R-EMAP Region 2,2003,JB301,31-Jul-03,40.629,-73.759,PCB101,
2,2',4,5,5'-pentachlorobiphenyl,PCB,1,ug/kg,0.05,,CH-UU

8.	GEOGRAPHIC AND SPATIAL INFORMATION

8.1	Minimum Longitude

-74 Degrees 17.4 Minutes 48.00 Decimal Seconds

8.2	Maximum Longitude

-73 Degrees 45 Minutes 0.54 Decimal Seconds

8.3	Minimum Latitude

40 Degrees 25.2 Minutes 36.00 Decimal Seconds

8.4	Maximum Latitude

40 Degrees 51.6 Minutes 42.00 Decimal Seconds

8.5	Name of area or region

New York/New Jersey Harbor System:

Four sub-basins were sampled in the New York/New Jersey Harbor,
including: Upper Harbor, Newark Bay, Lower Harbor (includes Raritan and
Sandy Hook Bays) and Jamaica Bay. For purposes of this study, the
region includes the lower portions of the Hudson, Passaic, Harlem,
Hackensack and Raritan Rivers, upstream to a near-bottom salinity of
15 ppt, the East River to Long Island Sound and Lower Harbor to the
Atlantic Ocean.

9.	QUALITY CONTROL AND QUALITY ASSURANCE

9.1	Data Quality Objectives

Quality assurance goals were developed and followed for each sample type.

9.2	Quality Assurance/Quality Control Procedures

The QA/QC procedures for the laboratory chemical methods will follow a
performance-based approach, which involves continuous laboratory
evaluation through the use of accuracy-certified reference materials
(CRMs), laboratory-fortified sample matrices, reagent blanks,
calibration standards and laboratory and field replicates.

9.3	Quality Assessment Results

These in-house QC measures met the requirements established in the QA
Plan.

9.4	Unassessed Errors
NA

10.	DATA ACCESS

10.1 Data Access Procedures

Data can be downloaded from the WWW server.


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10.2 Data Access Restrictions

Data can only be accessed from the WWW server.

10.3	Data Access Contact Persons
Ms. Darvene A. Adams

U.S. EPA Region II

10.4	Data Set Format
Tab-delimited

10.5	Information Concerning Anonymous FTP
Data cannot be accessed via ftp.

10.6	Information Concerning WWW

Data can be downloaded from the WWW servers.

10.7	EMAP CD-ROM Containing the Data Set
Data are not available on CD-ROM

11.	REFERENCES

Adams, D. 1998. Quality Assurance Project Plan for Environmental
Monitoring, A 5-year Revisit of Sediment Quality in the NY/NJ Harbor.
U.S. Environmental Protection Agency, Region 2, Edison, NJ.

Adams, Darvene and Sandra Benyi. 2003. Final Report: Sediment Quality
of the NY/NJ Harbor System - A 5-Year Revisit. EPA/9 02-R-03 - 002.
USEPA-Region 2, Division of Science and Assessment. Edison, NJ.
December, 2003.

Overton, W.S., D.L. Stevens and D. White. 1990. Design Report
for EMAP: Environmental Monitoring and Assessment Program.
EPA/600/3-91/053. U.S. Environmental Protection Agency, ORD,
Washington, DC.

Reifsteck, D.M., C.J. Strobel and D.J. Keith. 1993. Environmental
Monitoring and Assessment Program - Near Coastal Component: 1993
Virginian Province Field Operations and Safety Manual. U.S.
EPA NHEERL-AED. Narragansett, RI.

USEPA, 1989. Draft EPA Locational Data Policy. US EPA, Washington, DC

12.	TABLE OF ACRONYMS

13.	PERSONNEL INFORMATION

Principal Investigator

Ms. Darvene A. Adams

Monitoring and Assessment Branch

Division of Environmental Science and Assessment

U.S. Environmental Protection Agency - Region II

28 90 Woodbridge Ave.

Edison, NJ 08837

(732) 321-6700

adams.darvene@epa.gov


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Data Librarian, EMAP-IM
Melissa M. Hughes
Raytheon

27 Tarzwell Drive
Narragansett, RI 02882-1197
(401) 782-3184 (Tel.)
(401) 782-3030 (FAX)
hughes.melissa@epa.gov


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