Newark Bay Study - Passaic River Public Digital Library
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<strong>Newark</strong> <strong>Bay</strong> <strong>Study</strong><br />
Final<br />
Modeling Work Plan<br />
Addendum<br />
PREPARED BY:<br />
HydroQual, Inc.<br />
1200 MacArthur Blvd.<br />
Mahwah, NJ 07430<br />
UNDER CONTRACT TO:<br />
Malcolm Pirnie, Inc.<br />
104 Corporate Park Drive<br />
White Plains, NY 10602<br />
FOR:<br />
US Environmental Protection<br />
Agency<br />
US Army Corps of Engineers<br />
Contract No.<br />
DACW41-02-D-0003<br />
September 2006
CONTENTS<br />
Section Page<br />
1 INTRODUCTION.............................................................................................................................. 1-1<br />
1.1 OVERVIEW OF ISSUES RELATED TO NEWARK BAY.............................................. 1-1<br />
1.2 PURPOSE AND OBJECTIVES OF THE NEWARK BAY MODELING STUDY.... 1-4<br />
1.3 GENERAL BACKGROUND AND DESCRIPTION OF SITE...................................... 1-6<br />
1.4 REVIEW OF PHYSICAL-CHEMICAL PROCESSES IN NEWARK BAY................... 1-7<br />
1.4.1 Hydrodynamic Transport in <strong>Newark</strong> <strong>Bay</strong>.................................................................... 1-7<br />
1.4.2 Sediment Transport in <strong>Newark</strong> <strong>Bay</strong>............................................................................ 1-11<br />
1.4.2.1 A Macro-Scale Solids Balance for <strong>Newark</strong> <strong>Bay</strong> .......................................... 1-13<br />
1.4.2.2 Detailed Sedimentation Rate Data for <strong>Newark</strong> <strong>Bay</strong>................................... 1-16<br />
1.4.3 Chemical Fate and Transport in <strong>Newark</strong> <strong>Bay</strong> ........................................................... 1-18<br />
1.4.3.1 Chemicals of Potential Concern (COPCs)................................................... 1-18<br />
1.4.3.2 Data Evaluation: Sediments........................................................................... 1-21<br />
1.4.3.3 Chemical Fate and Transport Model Considerations ................................ 1-47<br />
1.4.4 Organic Carbon Production Model............................................................................ 1-49<br />
1.4.5 Bioaccumulation Model................................................................................................ 1-50<br />
1.5 MODEL REQUIREMENTS .................................................................................................. 1-50<br />
1.6 CONCEPTUAL SITE MODEL (CSM) ................................................................................ 1-51<br />
2 MODELING COMPONENTS........................................................................................................ 2-1<br />
2.1 INTRODUCTION...................................................................................................................... 2-1<br />
2.2 HYDRODYNAMICS ................................................................................................................. 2-1<br />
2.3 SEDIMENT TRANSPORT....................................................................................................... 2-2<br />
2.4 SEDIMENT TRANSPORT- ORGANIC CARBON PRODUCTION ............................ 2-2<br />
2.5 CONTAMINANT FATE AND TRANSPORT.................................................................... 2-2<br />
2.6 BIOACCUMULATION............................................................................................................. 2-3<br />
3 REFERENCES .................................................................................................................................... 3-1<br />
i
FIGURES<br />
Figure Page<br />
Figure 1-1. <strong>Newark</strong> <strong>Bay</strong> <strong>Study</strong> Area..................................................................................................... 1-2<br />
Figure 1-2. Prototype of Proposed <strong>Newark</strong> <strong>Bay</strong> Model Grid........................................................1-12<br />
Figure 1-3. TSS Balance for <strong>Newark</strong> <strong>Bay</strong> (Adapted from Suszkowski, 1978).............................1-15<br />
Figure 1-4. Bathymetry and Sedimentation Rates in <strong>Newark</strong> <strong>Bay</strong>.................................................1-17<br />
Figure 1-5. Sampling locations within the TSI database.................................................................1-19<br />
Figure 1-6. Sampling locations used in this analysis. .......................................................................1-22<br />
Figure 1-7. Longitudinal and vertical profiles of PCBs along the axis of <strong>Newark</strong> <strong>Bay</strong>/Kill<br />
van Kull. Red line and opposing arrows indicate separation point between<br />
the two water bodies and flow direction. ....................................................................1-25<br />
Figure 1-8. Vertical profiles of individual cores collected close at the mouth of <strong>Passaic</strong><br />
<strong>River</strong> (100A-NB), farther south in upper-<strong>Newark</strong> <strong>Bay</strong> (98A-NWB and 99-<br />
NWB) and mid-<strong>Newark</strong> <strong>Bay</strong> (72A-NWB; 68A-NWB and 69A-NWB). PCBs<br />
are sum of coplanar congeners.......................................................................................1-26<br />
Figure 1-9. Lateral Variation. Spatial and lateral distribution of total PCB congeners in<br />
<strong>Newark</strong> <strong>Bay</strong>; west and east sides of the mid-channel..................................................1-27<br />
Figure 1-10. Longitudinal and vertical profile of 2,3,7,8 TCDD in the <strong>Newark</strong> <strong>Bay</strong>/Kill<br />
van Kull Domain ..............................................................................................................1-29<br />
Figure 1-11. Depth profiles of TCDD in selected locations in <strong>Newark</strong> <strong>Bay</strong>.................................1-30<br />
Figure 1-12. Lateral distribution of TCDD East and West of <strong>Newark</strong> <strong>Bay</strong> mid-channel. .........1-31<br />
Figure 1-13. Spatial distribution of the ratio of 2,3,7,8-TCDD/total TCDD in the surface<br />
sediment of <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull system. ..........................................................1-31<br />
Figure 1-14. Longitudinal and vertical profile of OCDD in the sediments of the <strong>Newark</strong><br />
<strong>Bay</strong>/Kill van Kull system.. ..............................................................................................1-32<br />
Figure 1-15. Vertical Profile of OCDD at selected locations within <strong>Newark</strong> <strong>Bay</strong>........................1-34<br />
Figure 1-16. Lateral distribution of OCDD East and West of <strong>Newark</strong> <strong>Bay</strong> mid-channel..........1-34<br />
Figure 1-17. Spatial and vertical distribution of tPAHs in <strong>Newark</strong> <strong>Bay</strong>/Kill Van Kull.. .............1-35<br />
Figure 1-18. Spatial and vertical distribution of DDT in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull. .................1-36<br />
Figure 1-19. Sediment vertical profiles for DDT in selected cores across <strong>Newark</strong> <strong>Bay</strong>. .............1-39<br />
Figure 1-20. Spatial and vertical distribution of mercury in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull<br />
sediments.. .........................................................................................................................1-40<br />
Figure 1-21. Spatial and vertical distribution of chromium in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull<br />
sediments.. .........................................................................................................................1-41<br />
Figure 1-22. Spatial and vertical distribution of lead in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull<br />
sediments.. .........................................................................................................................1-42<br />
Figure 1-23. Spatial and vertical distribution of nickel in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull<br />
sediments.. .........................................................................................................................1-44<br />
Figure 1-24. Spatial and vertical distribution of arsenic in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull<br />
sediments.. .........................................................................................................................1-45<br />
Figure 1-25. Spatial and vertical distribution of cadmium in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull<br />
sediments.. .........................................................................................................................1-46<br />
ii
TABLES<br />
Table Page<br />
Table 1-1. Lists of main surveys available in the TSI database. .......................................................1-20<br />
Table 1-2. Extent of historical data in <strong>Newark</strong> <strong>Bay</strong> for selected chemicals. ..................................1-21<br />
Table 1-3. Commonly analyzed dibenzo-p-dioxins and furans congeners. ....................................1-27<br />
Table 1-4. NJDEP Sediment Screening Guidelines. .........................................................................1-37<br />
iii
SECTION 1<br />
1 INTRODUCTION<br />
1.1 OVERVIEW OF ISSUES RELATED TO NEWARK BAY<br />
<strong>Newark</strong> <strong>Bay</strong> is a major commercial harbor facility that is bounded by the cities of <strong>Newark</strong> and<br />
Elizabeth, NJ, along its western shoreline, Jersey City and the city of <strong>Bay</strong>onne to the east, and Staten<br />
Island to the South (Figure 1-1). The <strong>Bay</strong> is a tidal system, with salt water moving in and out at its<br />
southern end, via the Kill van Kull and the Arthur Kill. Fresh water also enters the <strong>Bay</strong> from the<br />
North, mainly via the <strong>Passaic</strong> <strong>River</strong> and to a much lesser extent, the Hackensack <strong>River</strong>. These<br />
freshwater inputs result in a net transport of material in a southerly direction, through the <strong>Bay</strong> and<br />
on to New York – New Jersey (NYNJ) Harbor. The connection of the <strong>Bay</strong> with NYNJ Harbor<br />
takes place via the Kill van Kull and Arthur Kill water bodies that are connected to <strong>Newark</strong> <strong>Bay</strong> at<br />
its southernmost point. The interaction between these water bodies occurs as a result of net<br />
freshwater flow that passes through the system as well as tidal action.<br />
The <strong>Newark</strong> <strong>Bay</strong> region has become very industrialized over the previous century as a result<br />
of its proximity to a number of major metropolitan areas, including <strong>Newark</strong>, NJ and New York City,<br />
and also because it has natural features that made it an ideal location to serve as a harbor facility.<br />
This industrial development has in turn led to its being impacted by a variety of contaminants that<br />
have generally degraded water quality and sediment quality in the system, including both <strong>Newark</strong><br />
<strong>Bay</strong> and nearby contiguous waters. In addition, this development has also been associated with<br />
physical changes to the system (e.g., buildings and port facilities), and these changes have also had an<br />
influence on the use of <strong>Newark</strong> <strong>Bay</strong> as a habitat for aquatic and terrestrial life in the region.<br />
Studies conducted by Federal, State and other agencies have established that the levels of<br />
contaminants in <strong>Newark</strong> <strong>Bay</strong> sediments exceed applicable sediment standards (NOAA, 1998). The<br />
contaminants that are likely contributors to the exceedances include dioxin/furans<br />
(PCDDs/PCDFs), polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs),<br />
pesticides and herbicides residues, and metals. Although the list of contaminants of potential<br />
concern (COPCs) and contaminants of potential ecological concern (COPECs) is not finalized, it is<br />
likely to include a sub-set or all of the above listed chemicals.<br />
As a result of these studies, the <strong>Newark</strong> <strong>Bay</strong> Remedial Investigation and Feasibility <strong>Study</strong><br />
(RI/FS) is being conducted under a February 2004 CERCLA Administrative Order on Consent<br />
(AOC) between USEPA and Occidental Chemical to assess the potential threat of harm to human<br />
health or welfare or the environment that may result from the release or threatened release of<br />
hazardous substances from the <strong>Newark</strong> <strong>Bay</strong> study area. Under the terms of the AOC, the<br />
potentially responsible party (PRP) is responsible for conducting the RI/FS, while the USEPA will<br />
be responsible for conducting the Human and Ecological Risk Assessments. In addition, the<br />
1-1
Figure 1-1. <strong>Newark</strong> <strong>Bay</strong> <strong>Study</strong> Area.<br />
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• Establish the magnitudes and relative importance of specific contaminant transfers within<br />
the <strong>Newark</strong> <strong>Bay</strong> study area, including:<br />
− Import and export of COPCs and COPECs between <strong>Newark</strong> <strong>Bay</strong> and the <strong>Passaic</strong><br />
and Hackensack rivers, to the North,<br />
− Loads from tributaries and other point and nonpoint sources adjacent to the <strong>Bay</strong>,<br />
− Re-mobilization of deposited contaminants or removal from the water column by<br />
settling of particle-bound COPCs and COPECs within the <strong>Bay</strong> itself,<br />
− Import and export of COPCs and COPECs between <strong>Newark</strong> <strong>Bay</strong> and other<br />
hydraulically connected waterways at the Southern end of <strong>Newark</strong> <strong>Bay</strong> (i.e., the<br />
Arthur Kill and Kill van Kull).<br />
• Provide management guidance for the adverse ecological and human health effects of the<br />
transport and ultimate fate of COPCs and COPECs within the system.<br />
• Assess the effectiveness of alternative remedial actions that may be implemented in <strong>Newark</strong><br />
<strong>Bay</strong> proper, in the 17-mile tidal reach of the <strong>Passaic</strong> <strong>River</strong> and elsewhere in the model<br />
domain, during both the remediation and post-remediation periods.<br />
• Assess sediment quality and contaminant levels that will result from a reduction or<br />
elimination of sources of COPCs and COPECs to the system, as well as the time frame for<br />
improvement under various remedial action alternatives.<br />
The modeling portion of the <strong>Newark</strong> <strong>Bay</strong> study area will overlap with that used for the<br />
Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project and will consider the <strong>Passaic</strong> <strong>River</strong>, as well as the<br />
Hackensack <strong>River</strong>, <strong>Newark</strong> <strong>Bay</strong> and other tributaries. This <strong>Passaic</strong> <strong>River</strong> - <strong>Newark</strong> <strong>Bay</strong> model will<br />
also consider the interaction of this system with the contiguous waters of the Kill van Kull, the<br />
Arthur Kill, the Hudson <strong>River</strong> and greater NYNJ Harbor system. It is necessary to do so to ensure<br />
that the far-field boundary conditions do not artificially influence the transport and distribution of<br />
COPCs and COPECs within the <strong>Newark</strong> <strong>Bay</strong> model domain. Additionally, material that is<br />
transported out of the <strong>Newark</strong> <strong>Bay</strong>, should a major storm event occur in the future, could<br />
potentially have an adverse impact on more distant regions, and it will therefore be necessary to have<br />
the capability to quantify the potential significance of such impacts should a major storm event<br />
occur at various points in time.<br />
Although the preceding macro-scale transport processes will be explicitly considered in the<br />
context of the <strong>Passaic</strong> <strong>River</strong> – <strong>Newark</strong> <strong>Bay</strong> model investigations, there remain additional areas within<br />
<strong>Newark</strong> <strong>Bay</strong> where it may be desirable to represent the system with a still higher level of detail.<br />
Hence, it is envisioned that the model grid representing <strong>Newark</strong> <strong>Bay</strong> will incorporate a finer level of<br />
resolution in some localized areas, beyond what would have been required for a model of the overall<br />
system that focused on the lower <strong>Passaic</strong> <strong>River</strong> alone. Currently the plan for the <strong>Newark</strong> <strong>Bay</strong> <strong>Study</strong><br />
Area is to develop a single integrated model for both water bodies. This approach is preferable with<br />
respect to ease of use and performing management remediation scenarios.<br />
1-5
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<strong>Newark</strong> <strong>Bay</strong> is relatively wide in comparison to the <strong>Passaic</strong> <strong>River</strong>, the Hackensack <strong>River</strong> and<br />
the Kills. Its shallow water depth has been substantially modified by the U.S. Army Corps of<br />
Engineers to ensure that the navigational channels are maintained in a condition that is suitable for<br />
shipping transit in the vicinity of the harbor facilities of the Port Elizabeth and Port <strong>Newark</strong><br />
Channels. As a result of these channel modifications, the bathymetric features of the <strong>Bay</strong> are quite<br />
complex and undergoing continual changes. A high-resolution model grid will be required to<br />
accurately represent these bathymetric features and the related processes that control sediment<br />
accumulation in the system (i.e., settling, resuspension, and dredging). Suskowski (1978) completed a<br />
relatively detailed analysis of pre-1978 bathymetric data, including a relatively detailed analysis of<br />
dredging records. More recent bathymetric data for the <strong>Bay</strong> proper have been obtained in<br />
association with maintenance dredging operations. This information will need to be analyzed in<br />
detail in association with ongoing model development efforts. Bathymetric survey data obtained<br />
during the USACE Harbor Deepening Project from 1999 through 2004 will be used to characterize<br />
model bathymetry for recent conditions.<br />
Numerous data collection and hydrodynamic modeling studies have been conducted to gain<br />
an improved understanding of the factors controlling fluid and mass transport in the <strong>Newark</strong> <strong>Bay</strong><br />
region, including the Hudson, Harlem and East <strong>River</strong>s; NY Harbor; Long Island Sound; Raritan<br />
<strong>Bay</strong>; and the NY Bight. These studies have generally shown that hydrodynamic transport in <strong>Newark</strong><br />
<strong>Bay</strong> is influenced by its bathymetry and by a number of other external forces, including the rate of<br />
freshwater inflow, the tides, and meteorological conditions, particularly winds. These many factors<br />
interact in complex ways such that it is advantageous to make use of numerical models to (i)<br />
facilitate interpretation of the data, (ii) integrate the effects of the important controlling processes,<br />
and (iii) evaluate the net effect of these controlling processes on hydrodynamic transport in the<br />
overall system.<br />
Prior to developing a conceptual site model (CSM) for <strong>Newark</strong> <strong>Bay</strong> it is appropriate to first<br />
review the results of previous efforts to investigate the factors that influence hydrodynamic<br />
transport within the <strong>Newark</strong> <strong>Bay</strong> study area. To begin, Oey et al. (1985a, 1985b) developed a 3-D<br />
model of the Hudson Raritan Estuary (including the Upper and Lower New York Harbor, Raritan<br />
<strong>Bay</strong>, the Arthru Kill, Kill Van Kull, and <strong>Newark</strong> <strong>Bay</strong>). The model was validated using data for water<br />
surface elevation, current speed and salinity. Oey et al. (1985c) also used a 2-D depth-integrated<br />
model to characterize tidal currents in the system. Blumberg et al. (1999) also developed a calibrated<br />
hydrodynamic model of the overall system. Simulations with this 3-D model showed that inflows<br />
from the northern tributaries, combined with residual inflow from the Kill van Kull, flowed out of<br />
<strong>Newark</strong> <strong>Bay</strong> via the Arthur Kill. The results also showed that, for the relatively high flow simulation<br />
conditions considered, <strong>Newark</strong> <strong>Bay</strong> and the Arthur Kill were vertically well mixed, while the Kill van<br />
Kull exhibited relatively weak stratification. This result differs from the characteristically stratified<br />
1-8
condition reported by Suszkowski, which was based on data obtained from a relatively dry year,<br />
when stratification would likely be enhanced.<br />
Several other studies have focused more directly on <strong>Newark</strong> <strong>Bay</strong> and directly contiguous<br />
waterways. For example, Thomas (1993) used the 2-D vertically integrated model of Oey et al.<br />
(1985c) to force a high-resolution model of the Arthur Kill. The somewhat limited vertical<br />
stratification at the northern end of the Arthur Kill was attributed to the sinuosity of the channel,<br />
with stratification of the Arthur Kill becoming more pronounced toward the south, in the direction<br />
of Raritan <strong>Bay</strong>. Chant used acoustic Doppler current profiles to characterize conditions in the Kill<br />
van Kull (Chant, 2002, as described by Pence, 2004). It was shown that vertical shear was directly<br />
related to the strength of the 2-layer flow pattern, the degree of salinity stratification and the<br />
freshwater flow rate from the <strong>Passaic</strong> <strong>River</strong> during neap tide conditions. Kaluarachchi (2003), using<br />
the model of Blumberg et al. (1999), found that salt transport through both the Arthur Kill and Kill<br />
van Kull, particularly the former, was controlled by the water surface elevation gradient between the<br />
Kill van Kull and Perth Amboy (at the southern end of the Arthur Kill) and that density effects were<br />
of limited importance. Pence also described results of an earlier <strong>Newark</strong> <strong>Bay</strong> dye study that<br />
indicated there was a net flow of water from <strong>Newark</strong> <strong>Bay</strong> to NY Harbor via both the Kill van Kull<br />
and the Arthur Kill, with the outflow via the Kill van Kull being much greater than the outflow via<br />
the Arthur Kill. This conclusion seems to conflict with the findings of Blumberg et al., (1999),<br />
Chant (2002) and others. Whether or not the inconsistency in these results can be accounted for by<br />
consideration of survey-specific conditions at the time of the dye study, or a weakness in the existing<br />
models, will need to be explored in detail during upcoming project-related investigations.<br />
Consideration for simulating the dye release study in a similar fashion to Pence’s earlier analysis will<br />
also be explored.<br />
Suszkowski (1978) conducted a detailed solids balance analysis of the <strong>Bay</strong> (discussed in the<br />
next section) in one of the earliest studies that attempted to understand the overall exchange of<br />
materials between <strong>Newark</strong> <strong>Bay</strong> and adjoining waters. As part of this study he summarized salinity<br />
and current speed information at each of the four main locations where <strong>Newark</strong> <strong>Bay</strong> interfaces with<br />
adjacent waterways. He showed that the <strong>Passaic</strong> <strong>River</strong>, at the point where it enters the northwest<br />
portion of <strong>Newark</strong> <strong>Bay</strong>, is strongly stratified throughout most of the year. It was also found that a<br />
similar though less pronounced condition persists at the mouth of the Hackensack <strong>River</strong>, which<br />
enters <strong>Newark</strong> <strong>Bay</strong> from the northeast. The difference in degree of stratification probably reflects,<br />
at least in part, the relatively low freshwater flow from the Hackensack <strong>River</strong> and the much greater<br />
tidal flow in the Hackensack, a condition that induces greater turbulence and enhanced mixing.<br />
Maximum salinity was observed at the NY Harbor entrance to the Kill van Kull, consistent with the<br />
high current speeds that are typical of conditions within this interconnecting waterway. While some<br />
stratification was also evident both at this location and at the <strong>Newark</strong> <strong>Bay</strong> entrance to the Arthur<br />
Kill, it was relatively slight and similar to other locations within the <strong>Bay</strong>. It is worth noting that<br />
1-9
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" '<br />
" 3 ' 7 +<br />
(
Figure 1-2. Prototype of Proposed <strong>Newark</strong> <strong>Bay</strong> Model Grid.<br />
1-12
1.4.2.1 A Macro-Scale Solids Balance for <strong>Newark</strong> <strong>Bay</strong><br />
1-13<br />
It is informative to discuss sediment transport in <strong>Newark</strong> <strong>Bay</strong> in the context of several earlier<br />
investigations of this water body. Perhaps the most important study in this regard was the work of<br />
Suszkowski (1978). This study, which focused on sediment transport dynamics in the <strong>Bay</strong>, included<br />
detailed analyses of both fluid and sediment transport. Specifically, Suszkowski implemented a<br />
monitoring program that was approximately one year in duration (April 1976 – April 1977), during<br />
which time he made approximately monthly measurements of conductivity (converted to salinity),<br />
temperature, dissolved oxygen (DO), pH and total suspended solids (TSS). Stations were located<br />
slightly to the north of <strong>Newark</strong> <strong>Bay</strong> in both the <strong>Passaic</strong> and Hackensack <strong>River</strong>s, at the mouth of<br />
each of these rivers at <strong>Newark</strong> <strong>Bay</strong>, at 3 locations along the central axis of <strong>Newark</strong> <strong>Bay</strong>, at the<br />
approach to and near the entrance of each of the Kills, and at the point where the Kill van Kull<br />
enters NY Harbor. Each station was sampled at 3 depths, surface, mid-depth and near the bottom.<br />
He also analyzed surface samples for TSS in both the <strong>Passaic</strong> and Hackensack <strong>River</strong>s on a daily<br />
basis, though the dataset for the Hackensack <strong>River</strong> was not complete. Numerous surface sediment<br />
samples were also collected. While somewhat dated, their consistency with more recently available<br />
information (e.g., Pence, 2004) indicate that these data and related analyses provide a useful<br />
characterization of more contemporary conditions in <strong>Newark</strong> <strong>Bay</strong>, over both time and space. As<br />
such, they are judged to be of use for current planning purposes.<br />
The TSS profiles also provide a useful characterization of the suspended solids distribution<br />
in the system. For example, the TSS concentration typically averaged between 1 and 3 mg/L across<br />
all stations, and it was as high as about 5 mg/L during the spring high flow months. Further, the<br />
average bottom sample TSS concentrations (averaged across all stations) were consistently higher<br />
than the surface samples over time, and they had a slightly lower volatile solids content as well. This<br />
was attributed to a combination of factors, including increased productivity in the surface waters,<br />
decomposition of organic content during settling from the water column, and differential settling<br />
rates for organically rich versus inorganic particles.<br />
The data reported by Suszkowski (1978) showed that the suspended solids levels in <strong>Newark</strong><br />
<strong>Bay</strong> exhibited a spring maximum, possibly a result of elevated spring runoff from upland areas.<br />
Elevated TSS levels were also observed in association with a turbidity maximum in the vicinity of<br />
mid-<strong>Newark</strong> <strong>Bay</strong>, and in the vicinity of localized dredging activities. Evidence of a significant but<br />
short-lived turbidity maximum was also reported for one of the surveys where sampling was<br />
conducted near the time of “ebb strength”. This latter increase in TSS levels was attributed to<br />
resuspension of bottom sediments by tidal currents, since low upstream flow conditions prevailed at<br />
the time of sampling. This phenomenon will require the use of an intra-tidal model if it is to be<br />
explicitly represented.
1-14<br />
Bottom sediments were also characterized in detail as part of this early sampling program<br />
(~100 surface sediment samples). The results indicated that the surface sediments of the northern<br />
region of <strong>Newark</strong> <strong>Bay</strong> are primarily composed of particulate material having a grain size that is<br />
representative of silt. The lower Hackensack <strong>River</strong> sediments have a somewhat coarser texture than<br />
the lower <strong>Passaic</strong> <strong>River</strong> and northern <strong>Newark</strong> <strong>Bay</strong> sediments. The sediment composition becomes<br />
coarser in texture in the direction of South <strong>Newark</strong> <strong>Bay</strong>, a trend that likely reflects the more intense<br />
long-term dredging activity and relatively high current speeds in that area, particularly in the Kill van<br />
Kull. Surficial bottom sediment concentrations were also measured, with a focus on levels of total<br />
organic carbon (TOC) and 8 metals: Hg, Cd, Pb, As, Cu, Zn, Cr and Ni. The concentrations of<br />
these constituents will be discussed in a later section of this report.<br />
Suszkowski used the 1976 monthly monitoring data, supplemented by additional sources of<br />
information on velocity profiles at the 4 <strong>Newark</strong> <strong>Bay</strong> boundaries, to develop a detailed inorganic<br />
solids balance for the system. The approach was to evaluate the surface and bottom layer flows at<br />
each of the four points of entry to the <strong>Bay</strong> (discussed above), and to then assign the observed<br />
average TSS concentration to each of these. (It is of interest to note that the boundary at the <strong>Passaic</strong><br />
<strong>River</strong> had a distinctly different TSS profile than the other locations, with the surface layer TSS being<br />
consistently higher than the bottom layer TSS concentration.) The product of the flow and TSS<br />
concentration in the surface and bottom layers yields an estimate of the mass flux rate, and the<br />
difference between the surface and bottom layer fluxes represents an estimate of the net flux across<br />
each <strong>Newark</strong> <strong>Bay</strong> boundary. Additional internal sources of solids, including TSS inputs from<br />
wastewater treatment plants, urban runoff and phytoplankton production were also quantified.<br />
Finally, a net solids balance for the entire <strong>Bay</strong> was obtained by evaluating the sum of all of these<br />
inputs.<br />
The results of Suszkowski’s solids balance analysis are summarized on Figure 1-3. It is<br />
evident from these results that the <strong>Passaic</strong> <strong>River</strong>, Kill van Kull and Arthur Kill were all net sources<br />
of TSS to <strong>Newark</strong> <strong>Bay</strong>, while the Hackensack <strong>River</strong> was a net sink of solids at the time of this<br />
investigation. This latter finding was recently confirmed by simulations performed with the <strong>Newark</strong><br />
<strong>Bay</strong> model by Pence (2004). The simulations involved the initialization of a particle concentration<br />
of 1 mg/L in the <strong>Passaic</strong> <strong>River</strong>, on a monthly basis, and then tracking the movement over these<br />
particles over the course of an annual cycle. The particles tended to move from the <strong>Passaic</strong> <strong>River</strong>,<br />
into <strong>Newark</strong> <strong>Bay</strong>, and then left <strong>Newark</strong> <strong>Bay</strong> by transport into the Hackensack <strong>River</strong>, or by transport<br />
out of the system in the surface layers of the Arthur Kill and Kill van Kull. The difference in<br />
transport regimes for the Hackensack and <strong>Passaic</strong> <strong>River</strong>s is partly explained by the relatively low<br />
freshwater flow in the Hackensack <strong>River</strong>, as this facilitates the upstream transport of solids from the<br />
<strong>Bay</strong>. Additionally, during high flow events there is relatively little upstream storage in the <strong>Passaic</strong><br />
<strong>River</strong>, so peak flow rates propagate through the system with relatively little attenuation. This differs<br />
from the situation in the Hackensack <strong>River</strong>, where upstream reservoir storage will absorb many of
the peaks in flow, thereby limiting the potential for flushing of solids from the Hackensack <strong>River</strong> to<br />
the <strong>Bay</strong>.<br />
Mass Flux (10 6 kg/year)<br />
600<br />
400<br />
200<br />
0<br />
-200<br />
-400<br />
42<br />
<strong>Passaic</strong> <strong>River</strong><br />
Upstream Internal Downstream<br />
210<br />
-23<br />
18<br />
99<br />
Hackensack R<br />
-28<br />
-127<br />
Wastewater<br />
6 6 9 9 9 9<br />
0<br />
Urban Runoff<br />
0<br />
Input<br />
Output<br />
Net<br />
Phytoplankton<br />
0<br />
81<br />
Arthur Kill<br />
-49<br />
- - - - - - - - - - - - - - Sources - - - - - - - - - - - - -<br />
32<br />
Kill Van Kull<br />
-144<br />
66<br />
455<br />
Total<br />
-343<br />
Figure 1-3. TSS Balance for <strong>Newark</strong> <strong>Bay</strong> (Adapted from Suszkowski, 1978).<br />
112<br />
1-15<br />
Another significant finding by Suszkowski was that the Kill van Kull was the major<br />
contributor of suspended sediment to the <strong>Bay</strong>, contributing 46% of the total input of solids to the<br />
<strong>Bay</strong>. This may be compared to the contribution from the major freshwater tributary to <strong>Newark</strong> <strong>Bay</strong>,<br />
the <strong>Passaic</strong> <strong>River</strong>, which only contributes 9% of the total input of solids. This demonstrates a need<br />
to incorporate within the overall modeling framework (as well as a properly designed field program)<br />
that includes the Arthur Kill and the Kill van Kull and their connection to New York/New Jersey<br />
Harbor in order to develop a proper sediment transport model of <strong>Newark</strong> <strong>Bay</strong> and the lower <strong>Passaic</strong><br />
<strong>River</strong>.<br />
Overall, estimates of these solids fluxes lead to a <strong>Newark</strong> <strong>Bay</strong> average inorganic sediment<br />
accumulation rate of 116.7 x 10 3 MT/year. Suszkowski used long-term dredging records and<br />
isopach (lines showing equal changes in depth) calculations to confirm that this was a reasonable<br />
solids flux estimate. Assuming a typical bed solids concentration of 400 g/L and a surface area of<br />
the <strong>Bay</strong> of 14.2x10 6 m 2 (Suszkowski, 1978) this volumetric accumulation rate for inorganic solids is<br />
equivalent to a net sedimentation rate of 1.97 cm/year as a <strong>Bay</strong>-wide average (exclusive of dredging).<br />
Use of this <strong>Bay</strong>-wide average sedimentation rate in conjunction with an estimate in the range of nil<br />
to 0.35 cm/yr (Suszkowski, 1978; NOAA, 1984) for non-navigation channel areas of <strong>Newark</strong> <strong>Bay</strong><br />
(associated with ~74% of <strong>Newark</strong> <strong>Bay</strong>), results in an estimate for the net sedimentation rate in the<br />
navigation channels in the range of 6.6 – 7.6 cm/yr. Overall, the sedimentation rates predicted on
1-16<br />
the basis of the solids analysis were somewhat low but comparable in magnitude to estimates that<br />
have been made on the basis of dredging records (see TSI, 2004, for a recent summary of estimates<br />
of sedimentation rates made by USACE, 1986, NOAA, 1984 and Suszkowski, 1978). This indicates<br />
that Suszkowski’s analysis is appropriate for use as a preliminary indicator of the gross<br />
hydrodynamic and sediment transport patterns within the <strong>Bay</strong>. As such, they are also considered of<br />
use in the development of an initial conceptual model for the system. At the same time, it must be<br />
kept in mind that these results are preliminary and that they require confirmatory testing in the<br />
context of updated analyses that make use of more recent data. For example, Suszkowski’s analysis<br />
did not consider fluxes of organic material in detail, so it is difficult to assess how important this<br />
factor might be on the deposition rates of solids that he has estimated. The computational model<br />
that is to be applied to the system will also be used to quantify mass fluxes for the alternative<br />
transport regimes that have been observed and to test the sensitivity to the model over a range of<br />
alternative conditions, including variation in upstream flow conditions, wind patterns and<br />
downstream boundary conditions (e.g., elevation and salinity).<br />
1.4.2.2 Detailed Sedimentation Rate Data for <strong>Newark</strong> <strong>Bay</strong><br />
Additional information related to the sedimentation rates in <strong>Newark</strong> <strong>Bay</strong> has been compiled<br />
as part of an RI work plan for <strong>Newark</strong> <strong>Bay</strong> (TSI, 2004). These sedimentation rates are summarized<br />
on Figure 1-4, which shows a plan view of the bathymetry of <strong>Newark</strong> <strong>Bay</strong> on the left, and<br />
approximately east-west bathymetric cross-sections, representative of the northern, central and<br />
southern regions of the <strong>Bay</strong>, on the right. Both views clearly illustrate the relatively narrow and deep<br />
area corresponding to the navigation channels. It is clear from the bar graphs of sedimentation rates<br />
that are superimposed on the graphs on the right that the sedimentation rates are lowest on the subtidal<br />
flats, and increase markedly in the direction of the transition slopes and the navigation<br />
channels. The precise manner in which this occurs remains to be determined. One possibility is<br />
that it is a result of direct deposition of sediment in the navigation channel. A second is that it<br />
results from deposition of sediment onto the much broader and shallower sub-tidal flats, where<br />
current speeds are lower than in the navigation channel, but where wind-wave resuspension reduces<br />
long-term accumulation of settled materials. Which of these two possibilities controls long-term<br />
accumulation rates, or the possibility that both processes are important with respect to long-term<br />
accumulation in the navigation channels, will need to be determined in the context of future<br />
modeling analyses.<br />
Analyses of historical dredging records have also identified several other localized areas that<br />
experience comparable and even higher sedimentation rates than those in the channel areas shown<br />
on Figure 1-4. These areas include the lower <strong>Passaic</strong> <strong>River</strong> (~15 cm/yr), Port <strong>Newark</strong> (~20 cm/yr)<br />
and the channel area north of Shooters Island (>25 cm/yr) (Suszkowski, 1978; USACE, 1986 as<br />
reported by TSI, 2004). Suszkowski used these dredging-based estimates of sedimentation rates in<br />
<strong>Newark</strong> <strong>Bay</strong> to demonstrate the validity of his solids balance analysis of the <strong>Bay</strong>. The high
Figure 1-4. Bathymetry and Sedimentation Rates in <strong>Newark</strong> <strong>Bay</strong>.<br />
1-17
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$ # $ ! %& ' #<br />
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/ 0 - %())1+!& # 2 $ 34-3 34-53<br />
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Figure 1-5. Sampling locations within the TSI database.<br />
1-19
Table 1-1. Lists of main surveys available in the TSI database.<br />
Historical <strong>Newark</strong> <strong>Bay</strong> Surveys Authors<br />
1990 Surface Sediment Investigation<br />
TSI<br />
1991 Core Sediment Investigation<br />
TSI<br />
1991 NOAA Phase I HRE Sediment Toxicity Investigation NOAA<br />
1991 NOAA Phase I NST Sediment Investigation<br />
NOAA<br />
1992 Core Sediment Investigation<br />
TSI<br />
1993 Core Sediment Investigation - 01 (March)<br />
TSI<br />
1993 Core Sediment Investigation - 02 (July)<br />
TSI<br />
1993 NOAA Phase II NST Sediment Investigation<br />
NOAA<br />
1993 USEPA Surface Sediment Investigation<br />
USEPA<br />
1993/1994 REMAP Sediment Investigation<br />
USEPA<br />
1993/1994 REMAP Sediment Quality Investigation<br />
USEPA<br />
1994 Finfish and Benthic Invertebrate Survey<br />
TSI<br />
1994 Surface Sediment Investigation<br />
TSI<br />
1994 USACE Minish Park Investigation<br />
USACE<br />
1995 Biological Sampling Program<br />
TSI<br />
1995 Geotechnical Testing Program<br />
TSI<br />
1995 RI Sampling Program<br />
TSI<br />
1995 Surface Sediment Sampling Program<br />
TSI<br />
1995 USACE Minish Park Investigation<br />
USACE<br />
1996 <strong>Newark</strong> <strong>Bay</strong> Reach A Sediment Sampling Program<br />
TSI<br />
1997 CSO Sampling Program<br />
TSI<br />
1997 <strong>Newark</strong> <strong>Bay</strong> Reach B,C,D Sampling Program<br />
TSI<br />
1998 <strong>Newark</strong> <strong>Bay</strong> Elizabeth Channel Sampling Program<br />
TSI<br />
1998 USEPA REMAP Sediment Investigation<br />
USEPA<br />
1999 Late Summer/Early Fall RI-ESP Sampling Program<br />
TSI<br />
1999 <strong>Newark</strong> <strong>Bay</strong> Reach A Monitoring Program<br />
TSI<br />
1999 <strong>Newark</strong> <strong>Bay</strong> Reach ABCD Baseline Sampling Program TSI<br />
1999 Preliminary Toxicity Identification Evaluation <strong>Study</strong><br />
TSI<br />
1999 Sediment Sampling Program<br />
TSI<br />
1999 USACE Drift Removal Monitoring Program<br />
USACE<br />
1999/2000 Minish Park Monitoring Program<br />
TSI<br />
2000 Spring RI-ESP Sampling Program<br />
TSI<br />
2000 Toxicity Identification Evaluation <strong>Study</strong><br />
TSI<br />
2001 Supplemental RI-ESP Biota Sampling Program<br />
TSI<br />
1-20
Table 1-2. Extent of historical data in <strong>Newark</strong> <strong>Bay</strong> for selected chemicals.<br />
TCDD DDT PAHs PCBs Hg Pb<br />
L S L S L S L S L S L S<br />
Surface water 4 4 4 4 4 4 4 9 9 28 9 28<br />
Sediment 93 123 93 149 93 118 93 103 93 152 93 152<br />
L: number of locations; S: number of samples<br />
1-21<br />
in water column data, as illustrated in Table 1-2. For all the measurements carried out by the<br />
different agencies/organizations/firms in <strong>Newark</strong> <strong>Bay</strong> between 1990 and 2001, there are only a<br />
handful of water column measurements for tetrachlorodibenzodioxin (TCDD), PCBs, PAHs, DDT,<br />
Hg and Pb. The paucity of data is even more pronounced for biological tissue: there are fewer<br />
locations and a small number of samples per organism collected over the years. Although more<br />
measurements are available on sediment quality, as discussed below, there is not enough information<br />
to provide a clear picture of the spatial and temporal trends as necessary to support modeling or risk<br />
assessment purposes. It is important to add that while CARP information was recently forwarded to<br />
EPA, this information was not publicly available at the time that the TSI database was developed. It<br />
is planned that the CARP information will be incorporated into future model development and<br />
model calibration work.<br />
An intrinsic part of data evaluation is understanding the physical characteristics of the<br />
sediments, the spatial and temporal distribution of the chemicals in the sediments, the spatial and<br />
temporal patterns in water column concentrations and in biota, as well as the hydrodynamic<br />
behavior likely to affect the stability of the sediments in terms of deposition and resuspension. The<br />
bulk of the data analysis is centered on establishing the horizontal and vertical distribution of the<br />
contaminants in the surface and bottom sediments, as well as in the water column and biota. The<br />
analysis is aimed at i) constructing a conceptual site model that guides the design of the<br />
hydrodynamic, sediment transport, fate and transport and bioaccumulation modeling framework,<br />
and ii) helping to design a sampling program that supports data modeling needs as well as<br />
geochemical, risk assessment and engineering analyses.<br />
1.4.3.2 Data Evaluation: Sediments<br />
For the sediments, HydroQual has focused its historical data evaluation of <strong>Newark</strong> <strong>Bay</strong> on analyzing<br />
a subset of TSI’s database that covers field programs conducted between 1991 and 2001. This<br />
database is available on the www.our<strong>Passaic</strong>.org project website. To better view and analyze the<br />
data, map-based spatial representations of some of the chemical concentrations were developed, in<br />
addition to two-dimensional plotting templates for rendering the data in the longitudinal direction<br />
from the mouth of the <strong>Passaic</strong> <strong>River</strong> along a north-south axis that extends to the lower end of<br />
<strong>Newark</strong> <strong>Bay</strong>, and easterly into Kill van Kull (Figure 1-6). The purpose of this analysis is to gain a<br />
better understanding of the spatial distribution of contaminants in the water column and sediment,<br />
two important environmental compartments in <strong>Newark</strong> <strong>Bay</strong>. It is also important to recognize that
Figure 1-6. Sampling locations used in this analysis.<br />
1-22
1-23<br />
an exhaustive data analysis has not as yet been performed. Readily available data have been obtained<br />
and undergone a preliminary analysis, in part to better understand the issues and water quality<br />
problems within <strong>Newark</strong> <strong>Bay</strong> and in part to better identify areas where additional data are required.<br />
Efforts will be expended during the project to identify, obtain and utilize additional historical data<br />
sets as well as to utilize data sets being collected as part of the <strong>Newark</strong> <strong>Bay</strong> study. As further data<br />
are collected and analyzed and as our understanding of <strong>Newark</strong> <strong>Bay</strong> and its interactions with<br />
adjacent waterbodies improves, it may be necessary to modify elements of the work plan in order to<br />
develop the most technologically sound and defensible model of the <strong>Newark</strong> <strong>Bay</strong> system. This<br />
analysis is therefore not exhaustive as further data analyses will be conducted as part of the fate and<br />
transport modeling exercise. For example, other transects, such as a longitudinal transect of the<br />
chemical concentrations in the northern portion of <strong>Newark</strong> <strong>Bay</strong> and into the Hackensack <strong>River</strong><br />
might provide further insight on the distribution of chemicals in the <strong>Bay</strong>. For this analysis, results<br />
from sediment cores were therefore plotted on multi-panel graphs, each representing the depth<br />
interval at which measurements were taken. The depths for which measurements are available vary<br />
among surveys, and in general do not exceed 14 ft. The lateral distances between stations also vary<br />
considerably along the same river mile. Unless otherwise indicated no distinction was made<br />
between samples obtained within or outside the navigation channel. It is important to note that a<br />
unified river mile (RM) system for both the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project and the<br />
<strong>Newark</strong> <strong>Bay</strong> <strong>Study</strong> will be put in place by the project team. In this analysis, however, the first river<br />
mile system depicted on the spatial plots, based on TSI’s boundaries of the <strong>Newark</strong> <strong>Bay</strong> <strong>Study</strong> Area,<br />
overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project river mile system.<br />
In order to conduct a comparative evaluation of the data spatially and on a matrix basis (i.e.,<br />
water column, pore water, sediment and fish tissue), multi-panel plots, each representing an<br />
environmental matrix, were generated for each chemical whenever concurrent measurements were<br />
available. Note that such concurrent measurements were rare. For example in the case of arsenic,<br />
there are only two water column and five surface sediment measurements in the Port <strong>Newark</strong><br />
Channel between 1993 and 1999, whereas in the Elizabeth Channel, no water column or fish tissue<br />
measurements are reported. When available, the Effects Range - Low (ER-L) and Effects Range -<br />
Median (ER-M) concentrations for sediments (Long et al., 1995) are provided for comparison<br />
purposes. These concentrations are intended to define concentration ranges within which adverse<br />
effects are rarely (ER-M). It is also important to note that a more complete analysis of the data<br />
should consider normalizing concentrations of COPCs and COPECs to organic carbon, since this<br />
might help explain some of the spatial and temporal variations of chemicals in the sediments. This<br />
analysis will be conducted as part of the data analysis task of the fate and transport modeling.<br />
The potential COPCs and COPECs that are presented are PCBs, PAHs, dioxins, DDT and<br />
metals, all in dry weight units. As indicated below, there are large gaps in the type (i.e., only few
1-24<br />
chemicals and biological tissues monitored), spatial (i.e., only few locations covered), and temporal<br />
(i.e., not often enough) distribution of information in the <strong>Bay</strong>. It is the intention of the Field<br />
Sampling Program performed by TSI as part of its Remedial Investigation Work Plan (TSI, 2004) to<br />
begin to address the data gaps in the study domain.<br />
The most pertinent plots are presented and discussed as part of this modeling plan and the<br />
main observations about the spatial and temporal relationships that exist within the domain for the<br />
selected chemicals are presented below. The discussions are not intended to be exhaustive, but<br />
rather a summary of the most important data features and availability.<br />
Polychlorinated Biphenyls (PCBs). Figure 1-7 shows total PCBs as the sum of congeners (closed<br />
circles ●), sum of homologs (open circles ○), and the sum of coplanar congeners (open triangles ª) in<br />
surface sediments and with depth in the <strong>Newark</strong> <strong>Bay</strong>-Kill van Kull domain. The data reveals that at<br />
every river mile within the <strong>Bay</strong> and at a few locations in the Kill van Kull, both the 23 ng/g ER-L<br />
and the 180 ng/g ER-M values are exceeded. Since they are a specific subset of the PCB congeners,<br />
the concentrations of coplanar congeners are systematically lower than the total PCBs. There is no<br />
noticeable spatial trend in the surface sediments within <strong>Newark</strong> <strong>Bay</strong>. Lower detections were<br />
encountered in the Kill van Kull, but very few samples were available for review, some of which did<br />
exceed the guidelines. The average total PCB level in <strong>Newark</strong> <strong>Bay</strong> surface sediment is 332 ng/g in<br />
the top 12 cm, whereas the highest concentration was 1990 ng/g at approximately RM3.8 into the<br />
<strong>Bay</strong>. In general, levels of PCBs decrease slightly with depth, except at the mouth of the <strong>Passaic</strong><br />
<strong>River</strong> where deeper sediments (3 to 6 ft and 7 to 13 ft) have concentrations of coplanar PCBs similar<br />
to or even exceeding what is observed in surface sediments. Yet, it is not uncommon to find high<br />
levels of PCBs in deeper layers of sediments into <strong>Newark</strong> <strong>Bay</strong>, as is the case at RM6.9 where<br />
concentrations of coplanar PCBs are higher in deeper sediments (3 to 6 ft) than at 0.5 to 3 ft. Note<br />
that total PCB measurements are available only for the layer between 0 and 4.5 ft, and are spatially<br />
limited to either the mouth of the <strong>Passaic</strong> <strong>River</strong> or to a section between RM4 and RM5.2.<br />
Vertical concentration profiles on selected cores show different patterns (Figure 1-8). Data<br />
from three cores collected close to each other show consistently high surface and subsurface<br />
coplanar PCB concentrations in one core 100A-NWB, and decreasing levels with increasing depth in<br />
the other cores (99A-NWB and 98A-NWB, northern <strong>Newark</strong> <strong>Bay</strong>). In the mid-section of the <strong>Bay</strong>,<br />
decreasing PCB levels with depth were also noted, although in many cases there were no<br />
measurements performed on sediments deeper than 4.5 ft. Note that the plotted sediment core<br />
concentrations are those reported at the top of the depth intervals, although, like in core number<br />
98A-NWB (mouth of the <strong>Passaic</strong> <strong>River</strong>), the sampled intervals are very small: top 0.17 ft, between<br />
2.8 and 2.9 ft, exactly at 4.6 ft, and at 6 ft. The profile of that core, however, suggests that most of<br />
the PCBs reside in the upper layer, since it is located in a low depositional area. However, the<br />
interpretation of the depth profiles to reconstitute the history of deposition is limited in the absence
PCBs (ng/g)<br />
PCBs (ng/g)<br />
PCBs (ng/g)<br />
PCBs (ng/g)<br />
PCBs (ng/g)<br />
10 0 0 0<br />
10 0 0 0<br />
10 0 0<br />
10 0 0<br />
10 0<br />
10<br />
0.1<br />
10 0<br />
1<br />
10 0 0 0<br />
10 0 0<br />
10 0<br />
10<br />
1<br />
0.1<br />
10 0 0 0<br />
10 0 0<br />
10 0<br />
10<br />
1<br />
0.1<br />
10 0 0 0<br />
10 0 0<br />
10 0<br />
10<br />
1<br />
0.1<br />
10<br />
1<br />
0.1<br />
Top 0.02 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
0.5 - 3 ft<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
0.5 - 4.5 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
3 - 6 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
7 - 13 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
Figure 1-7. Longitudinal and vertical profiles of PCBs along the axis of <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull. Red line<br />
and opposing arrows indicate separation point between the two water bodies and flow direction. Closed<br />
circles (●) represent sum of all congeners, open circles (○) represent sum of homolog groups, and open<br />
triangles (ª) represent sum of coplanar PCBs. The first mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong><br />
Restoration Project <strong>Study</strong> Area.<br />
ER-M<br />
ER-L<br />
ER-M<br />
ER-L<br />
ER-M<br />
ER-L<br />
ER-M<br />
ER-L<br />
ER-M<br />
ER-L<br />
1-25
Depth (ft)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
100A-<br />
NWB<br />
14<br />
0.1 1 10 100 1000 10000<br />
Sum of Coplanar PCBs (ng/g)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
72A<br />
-NWB<br />
14<br />
0.1 1 10 100 1000 10000<br />
Sum of Coplanar PCBs (ng/g)<br />
Depth (ft)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
98A-<br />
NWB<br />
14<br />
0.1 1 10 100 1000 10000<br />
Sum of Coplanar PCBs (ng/g)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
68A<br />
-NWB<br />
14<br />
0.1 1 10 100 1000 10000<br />
Sum of Coplanar PCBs (ng/g)<br />
Depth (ft)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
99A-<br />
NWB<br />
14<br />
0.1 1 10 100 1000 10000<br />
Sum of Coplanar PCBs (ng/g)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
69A<br />
-NWB<br />
14<br />
0.1 1 10 100 1000 10000<br />
Sum of Coplanar P CBs (ng/g)<br />
Figure 1-8. Vertical profiles of individual cores collected close at the mouth of <strong>Passaic</strong> <strong>River</strong> (100A-NWB),<br />
farther south in upper-<strong>Newark</strong> <strong>Bay</strong> (98A-NWB and 99-NWB) and mid-<strong>Newark</strong> <strong>Bay</strong> (72A-NWB; 68A-NWB<br />
and 69A-NWB). PCBs are sum of coplanar congeners.<br />
1-26<br />
of radionuclide data. Consideration should be given to measuring radionuclides in areas such as this<br />
as future sampling programs are developed for <strong>Newark</strong> <strong>Bay</strong>. This information will be of use in<br />
confirming that the depositional rate is low in a region such as this, if in fact that is the case.<br />
The sediment PCB data from the 1991 – 2001 time frame also show that PCB<br />
concentrations vary laterally, across the width of the channel. For example, a comparison of<br />
coplanar PCB congener levels in surface sediment collected east and west of mid-channel (Figure 1-<br />
9) reveals significant (e.g., from less than 200 ng/g east of the mid-channel to close to 1000 ng/g<br />
west of the mid-channel differences) in PCB concentrations (open vs. closed circles); it also shows<br />
that significant differences occur within a cluster of samples collected from the same reach and river<br />
mile (e.g., open circles at RM2-3). In addition, there is no clear pattern to the lateral distribution of<br />
PCB levels – concentrations vary independently of the proximity to the shore. Further data analysis,<br />
such as normalization of bulk chemical concentrations to organic carbon might help better explain<br />
the lateral spatial distribution. Given that some regions in <strong>Newark</strong> <strong>Bay</strong> are likely to be depositional<br />
areas, it is noteworthy that newly deposited solids have most probably altered the concentrations<br />
that were previously measured in surficial sediments during the 1990s. In order to better<br />
characterize the history of deposition until the present day, the low resolution program proposed for<br />
the <strong>Passaic</strong> <strong>River</strong>, as described in the Field Sampling Plan Vol. 1 (Malcolm Pirnie, 2005b), should be<br />
duplicated in <strong>Newark</strong> <strong>Bay</strong>. Such a program will be instrumental in tracking not only the
depositional/erosional patterns in <strong>Newark</strong> <strong>Bay</strong>, but also the fate of the contaminants as they are<br />
buried and/or resuspended and re-deposited.<br />
PCBs (ng/g)<br />
1000<br />
800<br />
600<br />
400<br />
200<br />
0<br />
East of mid-channel<br />
West of mid-channel<br />
0 1 2 3 4 5 6 7<br />
<strong>River</strong> M ile (mi)<br />
Figure 1-9. Lateral Variation. Spatial and lateral distribution of total PCB congeners in <strong>Newark</strong> <strong>Bay</strong>; west and<br />
east sides of the mid-channel.<br />
1-27<br />
Dioxins. Although PCDDs/PCDFs (dibenzo-p-dioxins and furans) consist of more than<br />
200 compounds, only a number of congeners are commonly analyzed (Table 1-3). Those include<br />
OCDD (1,2,3,4,6,7,8,9-octachlorodibenzo-p-dioxin), and 2,3,7,8-TCDD (2,3,7,8tetrachlorodibenzo-p-dioxin),<br />
both often considered as posing the highest risk (Birnbaum et al.,<br />
1987); however, there are no NJDEP guidelines available for dioxin-related ecological risk<br />
assessment.<br />
Table 1-3. Commonly analyzed dibenzo-p-dioxin and furan congeners for the Lower <strong>Passaic</strong> <strong>River</strong>.<br />
1,2,3,4,6,7,8-Heptachlorodibenzo-p-dioxin<br />
1,2,3,4,7,8-Hexachlorodibenzo-p-dioxin<br />
Dioxin (tagged), 13C-1,2,3,6,7,8-HXCDD<br />
1,2,3,7,8-Pentachlorodibenzo- p-dioxin<br />
1,2,3,7,8,9-Hexachlorodibenzo-p-dioxin<br />
2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD)<br />
1,2,3,4,5,6,7,8-Octachlorodibenzo-p-dioxin<br />
1,2,3,4,6,7,8-Heptachlorodibenzofuran<br />
1,2,3,4,7,8-Hexachlorodibenzofuran<br />
1,2,3,4,7,8,9-Heptachlorodibenzofuran<br />
1,2,3,6,7,8-Heptachlorodibenzofuran<br />
1,2,3,7,8-Pentachlorodibenzofuran<br />
1,2,3,7,8,9-Hexachlorodibenzofuran<br />
2,3,4,6,7,8-Hexachlorodibenzofuran<br />
2,3,4,7,8-Pentachlorodibenzofuran<br />
2,3,7,8- Tetrachlorodibenzofuran (TCDF)<br />
1,2,3,4,6,7,8-Octachlorodibenzofuran (OCDD)
1-28<br />
Longitudinal, vertical and lateral profiles for TCDD and OCDD in <strong>Newark</strong> <strong>Bay</strong> sediments<br />
are presented in Figures 1-10, 1-11 and 1-12. The concentrations of TCDD in surface sediments are<br />
about 0.4 ng/g near the mouth of the <strong>Passaic</strong> <strong>River</strong>, then decrease within the <strong>Bay</strong> to an average<br />
concentration of 0.01 ng/g (Figure 1-10). In the Kill van Kull, TCDD levels drop by one order of<br />
magnitude relative to <strong>Newark</strong> <strong>Bay</strong>. Peak levels in the surface sediments occur within one mile of<br />
<strong>Newark</strong> <strong>Bay</strong>. Unlike the <strong>Passaic</strong> <strong>River</strong> where the peak concentrations occur at depth, vertical<br />
profiles generally show a consistent trend of decreasing TCDD levels in deeper sediments (Figure 1-<br />
11). It is noteworthy that most cores were analyzed for TCDD to a depth of 6 ft below the surface;<br />
the analysis for layers between 6 ft and 14 ft was only performed on a limited number of cores.<br />
The data also show some spatial variation in TCDD concentration in the lateral direction.<br />
For example, a comparison of TCDD levels in surface sediment collected east and west of the midchannel<br />
(refer to Figure 1-12) reveals some differences in concentrations (open vs. closed circles);<br />
those differences are however less pronounced than what is observed for total PCBs (tPCBs). The<br />
data also show significant differences within a cluster of samples collected from the same reach and<br />
river mile (open circles). In addition, there is no clear pattern to the lateral distribution of TCDD<br />
levels – concentrations appear to vary independently of proximity to the shoreline.<br />
One interesting aspect of the TCDD distribution in <strong>Newark</strong> <strong>Bay</strong> is the decrease in the ratio<br />
of 2,3,7,8-TCDD to total TCDD in surface sediments south of the lower <strong>Passaic</strong> <strong>River</strong> (Figure 1-<br />
13). The ratio varies from about 0.64 in <strong>Newark</strong> <strong>Bay</strong>, to about 0.36 in Kill van Kull, with average<br />
values of about 0.58 and 0.48, respectively. Although slightly lower, the ratio in northern <strong>Newark</strong><br />
<strong>Bay</strong> is comparable to 0.71 as calculated by Chaky (2003). The dominance of the 2,3,7,8-TCDD in<br />
the lower <strong>Passaic</strong> <strong>River</strong> and <strong>Newark</strong> <strong>Bay</strong> suggests that the ratio may be used as a tracer to fingerprint<br />
dioxin contamination in the study area. The use of the ratio should however be subject to further<br />
scrutiny by, for example, testing it on other dioxin congeners, before it becomes a reliable<br />
fingerprinting tool.<br />
OCDD is also widely distributed throughout <strong>Newark</strong> <strong>Bay</strong> (Figure 1-14). The highest levels<br />
in the surface sediment are also found near the mouth of the <strong>Passaic</strong> <strong>River</strong>, where peak<br />
concentrations reach 7.3 ng/g (compared to 22.6 ng/g in the lower <strong>Passaic</strong> <strong>River</strong> proper). Figure 1-<br />
14 also shows a decrease in OCDD concentrations from the mouth of the lower <strong>Passaic</strong> <strong>River</strong><br />
through the first couple of miles to the south in <strong>Newark</strong> <strong>Bay</strong>. It is, however, interesting to note that<br />
OCDD levels in surface sediments increase again between RM2.5 and RM5.5 in the <strong>Bay</strong> suggesting<br />
the presence of other potential sources of OCDD in <strong>Newark</strong> <strong>Bay</strong> proper. Unlike TCDD, the<br />
concentration in deep sediments has a tendency to increase in particular between RM2.5 and RM5.5.<br />
For example, between 2 and 4 ft below the surface sediment, OCDD levels remain comparable to<br />
those found in the surface sediments and in some cases even exceed them. In addition, levels of<br />
OCDD reach a maximum concentration of 6.2 ng/g in sediment buried between 2 and 4 ft,<br />
compared to only 2 ng/g in the surface sediment at the same location. Depth profiles at selected
TCDD (ng/g)<br />
TCDD (ng/g)<br />
TCDD (ng/g)<br />
TCDD (ng/g)<br />
TCDD (ng/g)<br />
10<br />
1<br />
0.1<br />
0.01<br />
0.001<br />
0.0001<br />
10<br />
1<br />
0.1<br />
0.01<br />
0.001<br />
Surface Sediment<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
0.0001<br />
0 1 2 3 4 5 6 7 8 9 10<br />
10<br />
1<br />
0.1<br />
0.01<br />
0.001<br />
<strong>River</strong> Mile (mi)<br />
0.5 - 2 ft<br />
0.0001<br />
0 1 2 3 4 5 6 7 8 9 10<br />
10<br />
1<br />
0.1<br />
0.01<br />
0.001<br />
0.0001<br />
10<br />
1<br />
0.1<br />
0.01<br />
0.001<br />
0.0001<br />
<strong>River</strong> Mile (mi)<br />
2 - 4 ft<br />
4 - 8 ft<br />
0 1 2 3 4 5 6 7 8 9<br />
<strong>River</strong> Mile (mi)<br />
0 1 2 3 4 5 6 7 8 9<br />
<strong>River</strong> Mile (mi)<br />
Figure 1-10. Longitudinal and vertical profile of 2,3,7,8 TCDD in the <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull Domain. The<br />
first mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
12 ft<br />
10<br />
10<br />
1-29
Depth (ft)<br />
Depth (ft)<br />
Depth (ft)<br />
0<br />
100A-<br />
22<br />
44<br />
66<br />
88<br />
10 10<br />
12 12<br />
14 14<br />
NWB<br />
0.0001 0.0001 0.001 0.001 0.01 0.01<br />
TCDD TCDD (ng/g) (ng/g)<br />
0.1 1<br />
0<br />
68A-<br />
22<br />
44<br />
66<br />
88<br />
10 10<br />
12 12<br />
14 14<br />
NWB<br />
0.0001 0.001 0.01 0.1 1<br />
TCDD (ng/g)<br />
0<br />
2<br />
4<br />
6<br />
88A-<br />
NWB<br />
8<br />
10<br />
12<br />
14<br />
0.0001 0.001 0.01 0.1 1<br />
TCDD (ng/g)<br />
Depth (ft)<br />
Depth (ft)<br />
0<br />
37A-<br />
22<br />
44<br />
66<br />
88<br />
10 10<br />
12 12<br />
14 14<br />
NWB<br />
0.0001 0.0001 0.001 0.01<br />
TCDD (ng/g)<br />
0.1 1<br />
0<br />
72A-<br />
22<br />
44<br />
66<br />
88<br />
10 10<br />
12 12<br />
14 14<br />
NWB<br />
0.0001 0.001 0.01 0.1 1<br />
TCDD (ng/g)<br />
Figure 1-11. Depth profiles of TCDD in selected locations in <strong>Newark</strong> <strong>Bay</strong>.<br />
1-30
TCDD (ng/g)<br />
0.2<br />
0.16<br />
0.12<br />
0.08<br />
0.04<br />
0<br />
East of mid-channel<br />
West of mid-channel<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
Figure 1-12. Lateral distribution of TCDD East and West of <strong>Newark</strong> <strong>Bay</strong> mid-channel.<br />
2,<br />
3,<br />
7,<br />
8-<br />
T<br />
C<br />
D<br />
D<br />
/<br />
t-<br />
T<br />
C<br />
D<br />
D<br />
1.0<br />
0.9<br />
0.8<br />
0.7<br />
0.6<br />
0.5<br />
0.4<br />
0.3<br />
0.2<br />
0.1<br />
0.0<br />
<strong>Newark</strong> <strong>Bay</strong>: 0.64<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> miles<br />
Kill van Kull: 0.36<br />
Figure 1-13. Spatial distribution of the ratio of 2,3,7,8-TCDD/total TCDD in the surface sediment of <strong>Newark</strong><br />
<strong>Bay</strong>/Kill van Kull system.<br />
1-31
OCDD (ng/g)<br />
OCDD (ng/g)<br />
OCDD (ng/g)<br />
OCDD (ng/g)<br />
OCDD (ng/g)<br />
10<br />
8<br />
6<br />
4<br />
2<br />
0<br />
10<br />
8<br />
6<br />
4<br />
2<br />
Surface sediment<br />
0 1 2 3 4 5 6 7 8<br />
<strong>River</strong> Mile (mi)<br />
0<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
10<br />
8<br />
6<br />
4<br />
2<br />
0<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
10<br />
8<br />
6<br />
4<br />
2<br />
0<br />
10<br />
8<br />
6<br />
4<br />
2<br />
0<br />
0.5 ft<br />
2 - 4 ft<br />
4 - 6 ft<br />
0 1 2 3 4 5 6 7 8 9<br />
<strong>River</strong> Mile (mi)<br />
7 - 13 ft<br />
0 1 2 3 4 5 6 7 8 9<br />
<strong>River</strong> Mile (mi)<br />
Figure 1-14. Longitudinal and vertical profile of OCDD in the sediments of the <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull<br />
system. The first mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
9<br />
10<br />
10<br />
1-32
1-33<br />
locations indicate that OCDD is still prevalent in the sub-surface sediments (Figure 1-15). It is<br />
important to use caution in the interpretation of the vertical profiles given the gaps in the data in<br />
deeper layers, in particular in the upper section of the <strong>Bay</strong> between RM1 and RM3.<br />
As with TCDD, there is no clear pattern to the lateral distribution of OCDD levels;<br />
concentrations vary independently of the proximity to the shore (Figure 1-16).<br />
Polyaromatic Hydrocarbons (PAHs). Most of the PAHs reported in TSI’s database have<br />
no risk guidelines, as is the case with some PCB congeners. The spatial distribution of total PAHs<br />
(tPAHs) in surface and subsurface sediments are shown in Figure 1-17. In general, the data reveals<br />
that many of the tPAH concentrations are between the ER-L (4000 ng/g) and ER-M (45,000 ng/g)<br />
(as evaluated by Long et al., 1995), and in some cases, there are peaks that are orders of magnitude<br />
higher than the ER-M. Total PAH concentrations decrease from a peak concentration close to<br />
100,000 ng/g near the mouth of the <strong>Passaic</strong> <strong>River</strong>, to an average of 20,000 ng/g in the first two<br />
miles of <strong>Newark</strong> <strong>Bay</strong>, to about 10,000 ng/g in the main channel towards the Kills. There are also<br />
two significant peaks in the longitudinal distribution of PAHs, at RM1.2 and RM2.1. At the mouth<br />
of the <strong>Passaic</strong> <strong>River</strong> and one mile south, tPAH levels remain high in the sub-surface sediments (e.g.,<br />
13 ft below surface), at levels comparable to those measured at the surface. Between RM0.5 and<br />
RM1, tPAHs levels seem to increase with depth at levels that exceed both the ER-L and ER-M<br />
guidelines. In the rest of the <strong>Bay</strong>, unlike the <strong>Passaic</strong> <strong>River</strong> where tPAH concentrations increase in<br />
depth after an initial drop in shallower layers, tPAH levels generally decrease with depth [with the<br />
exception of a location in the middle section of the <strong>Bay</strong> (~RM5.4) where surface and 4-ft deep<br />
sediments have similar tPAH levels]. It is important to use the same note of caution expressed for<br />
dioxins – there are significant data gaps in the vertical profiles for deeper layers, in particular in the<br />
upper section of the <strong>Bay</strong> between RM1 and RM4. As is the case for PCBs and dioxins, tPAHs are<br />
likely candidates to be considered as COPCs/COPECs.<br />
Pesticides. The analysis shown in Figure 1-18 focuses on DDT to illustrate the spatial<br />
distribution of a well-studied pesticide in <strong>Newark</strong> <strong>Bay</strong> sediments. It should not be inferred from this<br />
spatial distribution, however, that other DDT species or other pesticides will necessarily follow the<br />
same pattern as DDT. In any case, the data reveal that surficial sediment DDT concentrations<br />
exhibit a pattern of decreasing concentration from the mouth of the <strong>Passaic</strong> <strong>River</strong> to a location 1.5<br />
miles south of the mouth, in <strong>Newark</strong> <strong>Bay</strong> (upper panel of Figure 1-18); however, between RM3.8
Depth (ft)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
100A-<br />
NWB<br />
14<br />
0.01 0.1 1 10 100<br />
OCDD (ng/g)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
81A-<br />
NWB<br />
14<br />
0 .1 1 10 10 0<br />
OCDD (ng/g)<br />
Depth (ft)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
96A-<br />
NWB<br />
14<br />
0.01 0.1 1 10 100<br />
OCDD (ng/g)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
87A-<br />
NWB<br />
14<br />
0.1 1 10 100<br />
OCDD (ng/g)<br />
Depth (ft)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
68A-<br />
NWB<br />
1-34<br />
14<br />
0 .1 1 10 10 0<br />
OCDD (ng/g)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
69A-<br />
NWB<br />
14<br />
0 .1 1 10 10 0<br />
OCDD (ng/g)<br />
Figure 1-15. Vertical Profile of OCDD at selected locations within <strong>Newark</strong> <strong>Bay</strong>.<br />
OCDD (ng/g)<br />
10<br />
8<br />
6<br />
4<br />
2<br />
0<br />
West of mid-channel<br />
East of mid-channel<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
Figure 1-16. Lateral distribution of OCDD East and West of <strong>Newark</strong> <strong>Bay</strong> mid-channel.
tPAHs (ng/g)<br />
tPAHs (ng/g)<br />
tPAHs (ng/g)<br />
tPAHs (ng/g)<br />
tPAHs (ng/g)<br />
tPAHs (ng/g)<br />
100,000<br />
10,000<br />
1,000<br />
100<br />
100,000<br />
10,000<br />
1,000<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
100<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
100,000<br />
10,000<br />
1,000<br />
100<br />
100,000<br />
10,000<br />
1,000<br />
100<br />
100,000<br />
10,000<br />
1,000<br />
100<br />
1,000,000<br />
100,000<br />
10,000<br />
1,000<br />
100<br />
ER-M<br />
Figure 1-17. Spatial and vertical distribution of tPAHs in <strong>Newark</strong> <strong>Bay</strong>/Kill Van Kull. The first mile overlaps<br />
with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
ER-M<br />
0.5 ft<br />
0.6 - 2 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
ER-M<br />
2 - 4 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
ER-M<br />
4 - 6 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
ER-M<br />
ER-M<br />
Surface sediment<br />
7 - 13 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
1-35
DDT (ng/g)<br />
DDT (ng/g)<br />
DDT (ng/g)<br />
DDT (ng/g)<br />
DDT (ng/g)<br />
10 0<br />
10<br />
DDT (ng/g) 10 0 0<br />
1<br />
10 0 0<br />
10 0<br />
10<br />
10 0 0<br />
10 0<br />
LEL<br />
Surface Sedim ent<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> M ile (mi)<br />
LEL<br />
1<br />
0 1 2 3 4 5 6 7 8 9 10<br />
10<br />
10 0 0<br />
10 0<br />
LEL<br />
<strong>River</strong> M ile (mi)<br />
0.5 ft<br />
1<br />
0 1 2 3 4 5 6 7 8 9 10<br />
10<br />
10 0 0<br />
10 0<br />
LEL<br />
<strong>River</strong> M ile (mi)<br />
0.5 - 2 ft<br />
1<br />
0 1 2 3 4 5 6 7 8 9 10<br />
10<br />
10 0 0<br />
10 0<br />
LEL<br />
<strong>River</strong> M ile (mi)<br />
2 - 4 ft<br />
1<br />
0 1 2 3 4 5 6 7 8 9 10<br />
10<br />
LEL<br />
<strong>River</strong> M ile (mi)<br />
4 - 6 ft<br />
1<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> M ile (mi)<br />
6 - 12 ft<br />
Figure 1-18. Spatial and vertical distribution of DDT in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull. The first mile overlaps<br />
with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area<br />
1-36
1-37<br />
and RM6, there seems to be an increase in DDT concentration as peak levels reach 730 ng/g at<br />
about RM5.2. These results also suggest the presence of other potential sources of DDT in <strong>Newark</strong><br />
<strong>Bay</strong> proper.<br />
The New Jersey Department of Environmental Protection (NJDEP) has adopted sediment<br />
screening guidelines for agricultural chemicals that have been detected in <strong>Newark</strong> <strong>Bay</strong> sediments<br />
(Table 1-4). These guidelines, referred to as Lowest Effect Level (LEL) and Severe Effects Level<br />
(SEL), have been expressed on the basis of both dry weight normalized and organic carbon<br />
normalized chemical concentrations. It is noteworthy that most of the DDT levels encountered in<br />
the surficial sediments as well as in deeper sediments exceed the 7 ng/g NJDEP LEL for DDT.<br />
Pesticides<br />
Table 1-4. NJDEP Sediment Screening Guidelines.<br />
Lowest Effects Level (LEL)<br />
(mg/kg, dry weight)<br />
Severe Effects Level (SEL) (mg/kg<br />
organic carbon, dry weight)<br />
Aldrin 0.002 8<br />
Benzohexachloride (BHC) 0.003 12<br />
a-BHC 0.006 10<br />
b-BHC 0.005 21<br />
y-BHC (Lindane) 0.003 1<br />
Chlordane 0.007 6<br />
DDT (Total) 0.007 12<br />
Op+pp-DDT 0.008 71<br />
pp-DDD 0.008 6<br />
pp-DDE 0.005 19<br />
Dieldrin 0.002 91<br />
Endrin 0.003 130<br />
Hexachlorobenzene (HCB) 0.020 24<br />
Heptachlor epoxide 0.005 5<br />
Mirex 0.007 130
1-38<br />
Individual sediment core vertical profiles for DDT (Figure 1-19) also reveal that<br />
measurements in sediment cores were in most cases limited to shallow layers (0 to 6 ft), except near<br />
the mouth of the <strong>Passaic</strong> <strong>River</strong>, where DDT levels in deeper sediments (14 ft) could be four times<br />
higher than in the surface layer (e.g., stations 96A-NWB and 81A-NWB). Notwithstanding that<br />
DDT levels in deep sediments (4 ft) of south <strong>Newark</strong> <strong>Bay</strong> may also be elevated (e.g., station 70A-<br />
NWB), the high concentrations at the surface suggest the existence of possible on-going sources.<br />
Metals. Of the metals that are available in the database, the spatial distribution of mercury,<br />
chromium, lead, nickel, arsenic, and cadmium in surface and sub-surface sediments of <strong>Newark</strong> <strong>Bay</strong><br />
and the Kill van Kull are shown in Figures 1-20 through 1-25. Unlike in the lower <strong>Passaic</strong> <strong>River</strong><br />
where metal levels often exceed the ER-M guidelines, only levels of mercury and to a lesser extent<br />
chromium and nickel are in excess of the ER-M in <strong>Newark</strong> <strong>Bay</strong>.<br />
Mercury concentrations in surface as well as in deeper sediments exceed both the ER-L (150<br />
ng/g) and ER-M (710 ng/g) throughout <strong>Newark</strong> <strong>Bay</strong> into the Kill van Kull (Figure 1-20); the<br />
detected concentrations are between 5 to 20 times higher than the medium and low range of<br />
ecological effects. As is the case with other contaminants, there are large gaps in mercury<br />
measurements in the sub-surface sediments, in particular, between RM1.5 and RM4. A preliminary<br />
inspection of the 1976 surface grab sample data of Suszkowski (1978) indicates that mercury levels<br />
at that time were similar in magnitude to the results shown on Figure 1-20, generally on the order of<br />
1000 – 10,000 ng/g. Inspection of results from a limited number of borings failed to reveal a<br />
consistent pattern, though a more detailed review of these data is warranted. It should be noted that<br />
an assessment effort is currently being conducted to better evaluate Berry’s Creek as a potential<br />
source of mercury into <strong>Newark</strong> <strong>Bay</strong>. The result of the evaluation will ultimately be integrated into<br />
the modeling effort.<br />
Throughout <strong>Newark</strong> <strong>Bay</strong>, chromium concentrations in the surface sediment are between the<br />
ER-M (370,000 ng/g) and ER-L (81,000 ng/g) values (Figure 1-21). The ER-M is exceeded only<br />
once in the Kill van Kull area. In deeper sediments, levels of chromium are somewhat lower than in<br />
the surface sediment, except at locations closer to the mouth of the <strong>Passaic</strong> <strong>River</strong>, where deep<br />
sediments (12 ft) show elevated chromium concentrations in excess of the ER-M value.<br />
Suszkowski’s (1978) surface grab sample results from 1976 were comparable in magnitude, though<br />
some results were higher than the concentrations of Figure 1-21, with a number of samples having<br />
chromium levels in excess of the ER-M.<br />
Except in the proximity of the mouth of the <strong>Passaic</strong> <strong>River</strong>, the levels of lead in <strong>Newark</strong> <strong>Bay</strong><br />
surface sediment generally remain between the ER-M (218,000 ng/g) and ER-L (46,700 ng/g) values<br />
(Figure 1-22). Also, in spite of the apparent decrease in lead concentrations in the lower section of<br />
<strong>Newark</strong> <strong>Bay</strong>, between RM5.5 and RM6.5, there is an apparent surge in lead concentration in the
Depth (ft)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
14<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
14<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
14<br />
Depth (ft)<br />
10 10 0 10 0 0<br />
tDDT (ng/g)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
14<br />
100A-<br />
NWB<br />
81A-<br />
NWB<br />
10 100<br />
tDDT (ng/g)<br />
1000<br />
72A-<br />
NWB<br />
10 10 0 10 0 0<br />
tDDT (ng/g)<br />
44B-<br />
NWB<br />
10 10 0 10 0 0<br />
tDDT (ng/g)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
14<br />
Depth (ft)<br />
Depth (ft)<br />
Depth (ft)<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
14<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
14<br />
0<br />
2<br />
4<br />
6<br />
8<br />
10<br />
12<br />
14<br />
70A-<br />
NWB<br />
10 10 0 10 0 0<br />
tDDT (ng/g)<br />
96A-<br />
NWB<br />
RA-03-<br />
NWB<br />
BCD2-<br />
NWB<br />
1-39<br />
10 100 1000<br />
tDDT (ng/g)<br />
10 100 1000<br />
tDDT (ng/g)<br />
10 100 1000<br />
tDDT (ng/g)<br />
Figure 1-19. Sediment vertical profiles for DDT in selected cores across <strong>Newark</strong> <strong>Bay</strong>.
Mercury (ng/g)<br />
Mercury (ng/g)<br />
Mercury (ng/g)<br />
Mercury (ng/g)<br />
Mercury (ng/g)<br />
10000<br />
1000<br />
100<br />
10<br />
10000<br />
1000<br />
100<br />
10<br />
10000<br />
1000<br />
100<br />
10000<br />
Surface Sediment<br />
ER-M<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
0.5- 2 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
2- 4 ft<br />
10<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
1000<br />
100<br />
10000<br />
4 - 6 ft<br />
10<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
1000<br />
100<br />
7 - 13 ft<br />
10<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
Figure 1-20. Spatial and vertical distribution of mercury in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull sediments. The first<br />
mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
1-40
Chromium (ng/g)<br />
Chromium (ng/g)<br />
Chromium (ng/g)<br />
Chromium (ng/g)<br />
Chromium (ng/g)<br />
1,000,000<br />
100,000<br />
10,000<br />
1,000,000<br />
100,000<br />
10,000<br />
1,000,000<br />
100,000<br />
10,000<br />
1,000,000<br />
100,000<br />
Surface Sediment<br />
ER-M<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
0.5 - 2 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
2 - 4 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
4 - 8 ft<br />
10,000<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
1,000,000<br />
100,000<br />
10,000<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
Figure 1-21. Spatial and vertical distribution of chromium in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull sediments. The<br />
first mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
12 ft<br />
1-41
Pb (ng/g)<br />
Pb (ng/g)<br />
Pb (ng/g)<br />
Pb (ng/g)<br />
Pb (ng/g)<br />
1,000,000<br />
100,000<br />
10,000<br />
1000<br />
1,000,000<br />
100,000<br />
10,000<br />
1000<br />
10,000,000<br />
1,000,000<br />
100,000<br />
10,000<br />
Surface Sediment<br />
ER-M<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
0.5 -2 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
2 -4 ft<br />
1000<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
1,000,000<br />
100,000<br />
10,000<br />
4-6 ft<br />
1000<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
1,000,000<br />
100,000<br />
10,000<br />
7-13 ft<br />
1000<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
Figure 1-22. Spatial and vertical distribution of lead in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull sediments. The first<br />
mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
1-42
1-43<br />
westerly section of the Kill van Kull, where concentrations significantly exceed the ER-M value.<br />
This is also true in the deeper sediments (between 0.5 and 4 ft) of the Kill van Kull, which also<br />
suggests the presence of other potential sources of lead in the vicinity of the Kill van Kull. In<br />
<strong>Newark</strong> <strong>Bay</strong> proper, deeper sediments have generally lower levels of lead, with the exception of<br />
locations closer to the mouth of the <strong>Passaic</strong> <strong>River</strong>, where deeper sediments have significantly higher<br />
levels that are well in excess of the ER-M. Data reported by Suszkowski (1978) suggest that surficial<br />
sediment lead concentrations were somewhat higher at that time, with a number of surface sediment<br />
concentrations exceeding the ER-M. Whether the surface lead data of Figure 1-22 should be<br />
considered as being indicative of conditions having improved since 1976, or simply an artifact of use<br />
of different sampling or analytical methods, requires further review. (This same point applies to the<br />
comparisons to be made with other 1976 sediment metal results as well.)<br />
In general, the levels of nickel in surface sediments are between the ER-M (51,600 ng/g) and<br />
the ER-L (20,900 ng/g) values (Figure 1-23). There are, however, exceptions – the ER-M is<br />
exceeded in surface sediments at locations close to the mouth of the <strong>Passaic</strong> <strong>River</strong>, but also<br />
downstream between RM4 and RM6, as well as occasionally in the Kill van Kull. These results also<br />
suggest the presence of other potential sources of nickel in the vicinity of Kills. In deeper<br />
sediments, nickel levels tend to increase relative to surface levels where measured throughout the<br />
domain. This is particularly noticeable in the first two miles and in the lower section of <strong>Newark</strong> <strong>Bay</strong>,<br />
in the 2 to 4 ft sediment layer. The surficial sediment nickel concentrations reported by Suszkowski<br />
were comparable to the results of Figure 1-23, with most values in the range of 10,000 to 100,000<br />
ng/g and a number of sample results exceeding the ER-M for nickel.<br />
Arsenic levels in surface sediments are well below the ER-M value (70,000 ng/g), and hover<br />
above the ER-L guideline of 8200 ng/g (Figure 1-24). It is however noteworthy, that despite the<br />
limited number of measurements, arsenic concentrations seem to increase with depth, particularly at<br />
locations close to the mouth of the <strong>Passaic</strong> <strong>River</strong>, where the 7 to 13 ft layer shows one instance<br />
where the arsenic level is close to the ER-M guideline value. The 1976 surface sediment arsenic<br />
levels seem to have been comparable to the more recent data of Figure 1-24.<br />
Cadmium concentrations in surface sediments are generally substantially lower than the ER-<br />
M (9600 ng/g) but still higher than the ER-L (1200 ng/g) (Figure 1-25). However, in deeper<br />
sediments closer to the mouth of the <strong>Passaic</strong> <strong>River</strong>, but also in certain areas of the Kill van Kull (at<br />
RM6.8, between 0.5 and 2 ft), cadmium levels are in excess of the ER-M. The 1976 surficial Cd<br />
concentrations reported by Suszkowski (1978) indicated numerous values in excess of the ER-M<br />
with a maximum concentration of 31,000 ng/g. Samples from a limited number of borings, which<br />
had concentrations in the range of 600 – 3400 ng/g, had somewhat lower levels than was indicated<br />
by the surface samples.<br />
In spite of the trends of metal contamination in <strong>Newark</strong> <strong>Bay</strong> sediments described above, the<br />
deposition, resuspension and redeposition features of the <strong>Bay</strong> have likely altered historic spatial
Nickel (ng/g)<br />
Nickel (ng/g)<br />
Nickel (ng/g)<br />
Nickel (ng/g)<br />
Nickel (ng/g)<br />
1,000,000<br />
100,000<br />
10,000<br />
1000<br />
1,000,000<br />
100,000<br />
10,000<br />
1000<br />
100,000<br />
10,000<br />
0.5 - 2 ft<br />
100<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
1000<br />
2 - 4 ft<br />
100<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
100,000<br />
10,000<br />
1000<br />
4 - 6 ft<br />
100<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
100,000<br />
10,000<br />
1000<br />
Surface Sediment<br />
100<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
7 - 13 ft<br />
ER-M<br />
100<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
Figure 1-23. Spatial and vertical distribution of nickel in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull sediments. The first<br />
mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
1-44
Arsenic (ng/g)<br />
Arsenic (ng/g)<br />
Arsenic (ng/g)<br />
Arsenic (ng/g)<br />
Arsenic (ng/g)<br />
100,000<br />
10,000<br />
1000<br />
100,000<br />
10,000<br />
1000<br />
100,000<br />
10,000<br />
ER-M<br />
Surface Sediment<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
ER-M<br />
0.5 - 2 ft<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
ER-M<br />
2 - 4 ft<br />
1000<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
100,000<br />
10,000<br />
ER-M<br />
4 - 6 ft<br />
1000<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
100,000<br />
10,000<br />
7 - 13 ft<br />
ER-M<br />
1000<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
Figure 1-24. Spatial and vertical distribution of arsenic in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull sediments. The first<br />
mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
1-45
Cadmium (ng/g)<br />
Cadmium (ng/g)<br />
Cadmium (ng/g)<br />
Cadmium (ng/g)<br />
Cadmium (ng/g)<br />
20000<br />
16000<br />
12000<br />
8000<br />
4000<br />
0<br />
20000<br />
16000<br />
12000<br />
8000<br />
4000<br />
20000<br />
16000<br />
12000<br />
8000<br />
4000<br />
20000<br />
16000<br />
12000<br />
8000<br />
4000<br />
20000<br />
16000<br />
12000<br />
8000<br />
4000<br />
Surface Sediment<br />
ER-M<br />
0 1 2 3 4 5 6 7 8 9 10<br />
<strong>River</strong> Mile (mi)<br />
0.1 ft<br />
0<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
0.5 - 2 ft<br />
0<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
2 - 4 ft<br />
0<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
6 -13 ft<br />
0<br />
0 1 2 3 4 5<br />
<strong>River</strong> Mile (mi)<br />
6 7 8 9 10<br />
Figure 1-25. Spatial and vertical distribution of cadmium in <strong>Newark</strong> <strong>Bay</strong>/Kill van Kull sediments. The<br />
first mile overlaps with the Lower <strong>Passaic</strong> <strong>River</strong> Restoration Project <strong>Study</strong> Area.<br />
1-46
! " #! "$<br />
#% && $ ' ' '<br />
()"( *()"!(<br />
' ' " ' + , #- .//0$ ! "<br />
#1!2 3 4( 5 4( 546 5<br />
4" 547 5$ #+81$<br />
1!2 +81 9<br />
6 ' :<br />
-<br />
+ ; ' " , , " <<br />
2 = :" #> ? .//0$<br />
#<br />
$<br />
'<br />
:<br />
< '<br />
@<br />
'<br />
'<br />
'<br />
' :<br />
# '<br />
$ '<br />
' ' @<br />
# A B$<br />
#<br />
$<br />
' ' 6 ' :-<br />
' ' ' 8<br />
6 ' :- '<br />
< '
1-48<br />
flow rates, in combination with the associated suspended solids load, lead to the advection of both<br />
dissolved and sorbed chemicals along with the water. The effect may differ from one location to<br />
another. For example, the analysis performed by Suszkowski indicates that, in the case of the<br />
<strong>Passaic</strong> <strong>River</strong>, there is a net movement (i.e., the difference between upstream and downstream<br />
transport) of suspended solids in the downstream direction towards <strong>Newark</strong> <strong>Bay</strong>. (Note that it does<br />
not necessarily follow that the net movement of chemicals will be in the same direction as the net<br />
movement of solids, as the dissolved and sorbed chemical concentrations in the surface and bottom<br />
layers also need to be considered.) Should this finding be confirmed by future data and modeling<br />
analyses, it can be expected to have important implications to the evaluation of the rates of chemical<br />
exchange between the <strong>Passaic</strong> <strong>River</strong> and <strong>Newark</strong> <strong>Bay</strong>. In contrast to the <strong>Passaic</strong> <strong>River</strong> there is a net<br />
flux of solids from <strong>Newark</strong> <strong>Bay</strong> into the Hackensack <strong>River</strong> (Suszkowski, 1978; Pence, 2004). This<br />
finding also has important implications to the net movement of chemicals between these two<br />
regions and should be confirmed in subsequent analyses.<br />
Another important aspect of solids transport in <strong>Newark</strong> <strong>Bay</strong> that was quantified by<br />
Suszkowski was the high rates of sediment accumulation in a number of localized areas, including<br />
Port <strong>Newark</strong> and in the channel north of Shooters Island. He attributed the deposition of solids in<br />
these regions to factors that were largely site-specific in nature. It will be important for the model to<br />
properly simulate the accumulation of solids in these localized areas, in part because these are areas<br />
where maintenance dredging takes place. While not a natural process, maintenance dredging will<br />
serve as a sink of both solids and chemicals in <strong>Newark</strong> <strong>Bay</strong>, as it leads to removal of mass from the<br />
system. It is expected that a relatively high-resolution model grid will be required to properly<br />
simulate the observed high rates of deposition in these localized areas. Use of a high-resolution grid<br />
will improve the level of detail that can be represented by both the hydrodynamic and sediment<br />
transport models, and as such, should enhance their predictive abilities. This is important since the<br />
chemical fate model will use these results to quantify the associated chemical transfers. The<br />
significance of removal of dredged material as a sink of chemicals in these areas remains to be<br />
evaluated.<br />
Sediment transport also has an important bearing on chemical fate via the manner in which<br />
the process of burial is represented (Berner, 1980; Boudreau, 1997; Boudreau and Jorgensen, 2001).<br />
Sediments typically have a surficial layer where particle mixing occurs as a result of reworking by<br />
benthic organisms (bioturbation) and by physical mixing processes related to settling and<br />
resuspension. A number of approaches may be used to evaluate the depth over which mixing<br />
occurs, including but not necessarily limited to biological surveys of the benthic community,<br />
sediment profile imaging, and consideration of radionuclide data. Mixing alone results in the<br />
transfer of chemicals along a concentration gradient, from areas of high to low concentration. It is<br />
for this reason that historically contaminated sediments, even if buried by the accumulation of clean<br />
solids long after the chemical source has been eliminated, may continue to exhibit residual
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1-51<br />
sediment transport, there is considerable information available on the rates in <strong>Newark</strong> <strong>Bay</strong>, and it is<br />
clear from this information that sediment accumulation is a dynamic process. Rates range from<br />
tenths of a cm/year in the side <strong>Bay</strong> areas to 10 – 15 cm/year or more in the primary depositional<br />
zones. This range in rates has important implications for modeling purposes, especially when it is<br />
time to perform projections. The reason is that it is the combination of the depth of the mixed layer<br />
and the net sedimentation rate that will control the response time of the system to future changes in<br />
sediment characteristics and inputs to the system. Surface sediment concentrations can be expected<br />
to respond relatively rapidly in areas having high net sedimentation rates.<br />
Suszkowski (1978) identified three areas in the <strong>Newark</strong> <strong>Bay</strong> where enhanced sediment<br />
accumulation was occurring. These areas are the lower <strong>Passaic</strong> <strong>River</strong>, Port <strong>Newark</strong>, and the area<br />
north of Shooters Island. A variety of processes were thought to be contributing to the high rates<br />
of deposition in these areas. For example, the density-induced circulation pattern in the lower<br />
<strong>Passaic</strong> leads to the downstream transport of particles from the upstream <strong>Passaic</strong> <strong>River</strong> in the<br />
surface layer; settling of these particles such that they mix with lower layer sediment and are then<br />
transported in a net upstream direction in the bottom layer, a process which increases the residence<br />
time of the particles in this region, thereby promoting sedimentation. Alternatively, the enhanced<br />
deposition in the Port <strong>Newark</strong> area was attributed to what was described as “scouring and settling<br />
lag effects” in a closed-ended channel. Finally, a high influx of solids from the Kills, combined with<br />
low current speeds and extended slack water periods (as long as 2 hours) were thought to be the<br />
cause of enhanced deposition in the area north of Shooters Island (Suszkowski, 1978).<br />
The preceding phenomena provide a useful working model for how to represent the<br />
processes that control sediment transport in the <strong>Passaic</strong> <strong>River</strong>-<strong>Newark</strong> <strong>Bay</strong> system. Planned<br />
evaluations with a high-resolution model will further elucidate the importance of these and other<br />
processes that are controlling sediment deposition in these localized areas. Initial diagnostic testing<br />
with the model will be needed to define the level of grid resolution that is required to represent these<br />
fine-scale features. It may ultimately be necessary to unify these different model grids to obtain a<br />
finalized overall model calibration for the system. However, separation of these analyses for initial<br />
model development purposes will allow for more computationally efficient model runs to be<br />
performed during the initial stages of model development.<br />
1.6 CONCEPTUAL SITE MODEL (CSM)<br />
The purpose for developing a CSM is to establish a clear relationship between site-specific<br />
conditions and the types of models that are to be applied. The CSM should describe, in as much<br />
detail as possible, each of the important physical, chemical and biological processes that are<br />
operative at the site of interest. This will help to ensure that the models to be applied will be<br />
suitable for their intended use, at least to the degree that the current understanding of the system<br />
permits. The CSM will typically include consideration of hydrodynamic processes, sediment and<br />
contaminant fate and transport processes, as well as biotic processes. While many of the important
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1-53<br />
During periods when the two-layer counter-current flow pattern described above is present, ,<br />
it will advect water and solids into the <strong>Bay</strong> from the Kills (via the lower layer) and out of the <strong>Bay</strong> and<br />
into each of the upstream rivers that enter the <strong>Bay</strong> to the north. The surface layer transport in<br />
<strong>Newark</strong> <strong>Bay</strong> will tend to be in the opposite direction. It will be necessary that the surface and<br />
bottom layer currents of this and other transport regimes be well represented by the model as they<br />
control the level of shear and the potential for resuspension and deposition of solids within the<br />
system, as well as the net direction of movement of solids in the system. An improved<br />
understanding of these processes should be achieved during the course of additional data evaluation.<br />
The influx of solids that enters the <strong>Bay</strong> at the southern end passes through the relatively<br />
quiescent area located just north of Shooters Island, leading to a high rate of deposition in that<br />
region. There are several other areas where high rates of deposition occur (i.e., <strong>Newark</strong> Channel and<br />
the southern end of the <strong>Passaic</strong> <strong>River</strong>) and mechanisms that attempt to explain why these localized<br />
depositional zones occur have been proposed (Suszkowski, 1978). The fact that sedimentation rates<br />
within the <strong>Bay</strong> are highly variable, ranging from a low of 0.1 cm/year on the sub-tidal flats to 10 - 30<br />
cm/year in the navigation channels, clearly justifies the need to use a laterally segmented grid in<br />
order for the model to be able to resolve these differences. Dredging operations have also been<br />
ongoing in <strong>Newark</strong> <strong>Bay</strong> for many years and have been shown to be an important sink of sediment in<br />
the system (Suszkowski, 1978). As such, it will be necessary to explicitly account for the volume of<br />
sediment that is removed by ongoing dredging operations over the course of model simulations.<br />
The potential for solids deposition on the sub-tidal flats and subsequent lateral movement in the<br />
direction of the navigation channel will need to be evaluated in the context of these ongoing<br />
modeling analyses.<br />
Besides the effects of natural forces (inflow, tides, and winds), the presence of extensive<br />
traffic of large container ships may also be an important process influencing the movement of<br />
suspended solids in <strong>Newark</strong> <strong>Bay</strong>. Shear stresses generated by ship propellers may influence<br />
resuspension of suspended solids, particularly as these forces propagate onto the shallow areas<br />
adjacent to the shipping channels. A review of the literature will be conducted to ascertain how<br />
shipping and propeller wash influence movement of suspended solids and how these processes have<br />
been incorporated in other modeling studies.<br />
Several COPCs and COPECs will be modeled in the <strong>Newark</strong> <strong>Bay</strong> system. The tendency of<br />
these chemicals to be transported in association with particulate material will be chemical-specific, as<br />
the value of the partition coefficient to be assigned is chemical-specific. The partitioning of neutral<br />
organic chemicals is commonly represented in terms of a 3-phase partitioning formulation that is<br />
based upon carbon-normalized partition coefficients (i.e., for chemicals that partition between the<br />
freely dissolved phase in water and particulate and dissolved organic carbon). Given that this<br />
formulation is being used, the production and transport of carbon phases will have a bearing on the<br />
chemical fate calculations. The fact that carbon-based partitioning will be used will also make the
1-54<br />
analysis amenable to application to chemicals having markedly different sorption characteristics, as<br />
these differences can be readily indexed to the octanol-water partition coefficient, a readily available<br />
chemical characteristic. The parameters of the 3-phase partitioning model can be evaluated on the<br />
basis of both published sources of information, such as the recent review by Burkhard (2000), as<br />
well as site-specific data (e.g., dissolved chemical, particulate chemical, DOC and POC in the water<br />
column and sediment). While 3-phase carbon-based partitioning is not a feature of the model that is<br />
specific to <strong>Newark</strong> <strong>Bay</strong>, the fact that a previously developed model of organic carbon fluxes<br />
(HydroQual, 2001) is available for use is a distinct advantage of applying this approach to the<br />
<strong>Newark</strong> <strong>Bay</strong> study area. This model has previously been used on the SWEM Project (HydroQual<br />
Inc., 2002) and is currently in use on the nearly completed CARP project. It has undergone peer<br />
review by the scientists that are members of the Modeling Evaluation Groups (MEG) that have<br />
monitored technical progress on both of these projects.<br />
Application of the chemical fate and transport model to <strong>Newark</strong> <strong>Bay</strong> does not itself involve<br />
the need to include additional site-specific factors in the conceptual model, beyond those factors<br />
that were discussed previously with regard to the hydrodynamic and sediment transport models.<br />
Thus, the application of the fate and transport model to <strong>Newark</strong> <strong>Bay</strong> will conform to a relatively<br />
standard approach, provided that the fluid transport regime and particulate transport rates have been<br />
properly represented by the respective models. If this is achieved, then the two layer flow patterns<br />
at the northern and southern ends of <strong>Newark</strong> <strong>Bay</strong> will be expected to promote the interaction of<br />
each of the contiguous waterways with <strong>Newark</strong> <strong>Bay</strong>. Also of particular interest in this system with<br />
regard to chemical fate, is that very high rates of sedimentation are known to occur in some areas,<br />
and this has the potential to transfer relatively large quantities of chemicals to the sediments. The<br />
fact that dredging is an actively ongoing process is also expected to have significant implications to<br />
the fate and transport model analysis, as it has the potential to remove these chemicals, thereby<br />
mitigating the potential for long term interaction.<br />
The importance of burial processes has also been touched upon as a generic process that is<br />
of importance in a fate and transport model. Although Suszkowski (1978) discussed the importance<br />
of bioturbation in the context of his investigations of <strong>Newark</strong> <strong>Bay</strong>, quantitative site-specific<br />
information that can be drawn upon is limited at present. Hence, the best that can be stated is that<br />
the range in mixed layer depths for marine systems has been well established, and that a<br />
characteristic depth of about 10 cm has been determined on the basis of considerations of carbon<br />
diagenesis rates (Boudreau, 1994 and 1998). While it may be possible to make use of these concepts<br />
in the context of the carbon production model that is to be applied to this system, the efficacy of<br />
this approach is difficult to ascertain at this time. The analysis of vertical profiles of chemicals in<br />
sediments and the USACE-NY and NOAA camera work sediment profile investigations (NOAA,<br />
2001) may also be useful in assessing the depth of the mixed layer and rates of sedimentation in<br />
<strong>Newark</strong> <strong>Bay</strong>.
SECTION 2<br />
2 MODELING COMPONENTS<br />
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SECTION 3<br />
3 REFERENCES<br />
Battelle, May 2005. <strong>Newark</strong> <strong>Bay</strong> <strong>Study</strong> Pathways Analysis Report, draft report.<br />
Berner, R.A., 1980. Early Diagenesis, A Theoretical Approach, Princeton Series in Geochemistry,<br />
Princeton University Press, Princeton, NJ.Blumberg, A.F. and G.L. Mellor, 1987. “A<br />
Description of a Three-Dimensional Coastal Ocean Circulation Model,” In: Three-Dimensional<br />
Coastal Ocean Models, N.S. Heaps, ed., Washington DC: American Geophysical Union, pp. 1-<br />
16.<br />
Birnbaum, LS; Weber, H; Harris, MW; Crawford, DD; et al. (1987) Toxic Interaction of Specific<br />
Polychlorinated Dibenzofurans in Combination in C57BL/6N Mice. Toxicol Appl Pharmacol<br />
91:246-255.<br />
Blumberg, A.F., L.A. Khan and J.P. St. John, 1999. “Three-Dimensional Hydrodynamic Model of<br />
New York Harbor Region,” Journal of Hydraulic Engineering, 125(8): 799-816.<br />
Bobb, W.H. 1967. Effects of Removal of Shooters Island and Shore Modifications on Tides, Currents, and<br />
Shoaling in the Kill van Kull Channels: Hydraulic Model Investigations. Misc. Paper No. 2-953. U.S.<br />
Army Engineer Waterways Experiment Station. Vicksburg, MS. 68pp.<br />
Boudreau, B.P., 1994. “Is Burial Velocity a Master Parameter for Bioturbation?”, Geochimica et<br />
Cosmochimica Acta, 58(4): 1243-1249.<br />
Boudreau, B.P., 1997. Digenetic Models and Their Implementation. Modelling Transport and Reactions in<br />
Aquatic Sediments. Berlin: Springer-Verlag.<br />
Boudreau, B.P., 1998. “Mean Mixed Depth of Sediments: The Wherefore and the Why,” Limnology<br />
and Oceanography, 43(3): 524-526<br />
Boudreau, B.P., and B.B. Jorgensen, 2001. The Benthic Boundary Layer. Transport Processes and<br />
Biogeochemistry. New York, NY: Oxford University Press.<br />
Chaky, D.A., 2003. “Polychlorinated Biphenyls, Polychlorinated Dibenzo-p-dioxins, and Furans in<br />
the New York Metropolitan Area.” Rensselaer Polytechnic Institute, Troy, New York.<br />
Chant, R.J. 2002. “Secondary Circulation in a Region of Flow Curvature: Relationship with Tidal<br />
Forcing and <strong>River</strong> Discharge,” Journal of Geophysical Research, 107(C9): 14-1 – 14-11.<br />
Di Toro, D.M., et al. 1991. “Technical Basis for Establishing Sediment Quality Criteria for<br />
Nonionic Organic Chemicals using Equilibrium Partitioning,” Environ. Toxicol. Chem., 10:<br />
1541-1583.<br />
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