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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 />

1-2


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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 />

$<br />

+ / (<br />

" '<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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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


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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 />

3-1


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