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WATER RESOURCES RESEARCH GRANT PROPOSAL
Project ID: 2004NJ74B
Title: High resolution geophysical imaging as a novel method for noninvasive characterization of contaminated wetlands: application to Kearny Marsh
Project Type: Research
Focus Categories: Methods, Wetlands, Sediments
Keywords: wetland sediments, Kearny marsh, Keegan landfill, geophysical technology, GIS, surface water, groundwater
Start Date: 03/01/2004
End Date: 03/01/2005
Federal Funds: $29,130
Non-Federal Matching Funds: $55,784
Congressional District: 10
Principal Investigator:
Lee Slater
Rutgers University
Abstract
Electrical geophysical measurements are proxy indicators of the pore water chemistry, with an extensive body of literature illustrating the on-land use of electrical geophysics in the study of the migration of contaminant plumes and characterization of contaminated soils (e.g. Mazac et al., 1987; Osiensky and Donaldson, 1995; Dahlin, 1996). State-of-the- art electrical geophysical imaging surveys permit non-invasive time-lapse “imaging” of dynamic subsurface processes (such as contaminant movement) that is analogous to medical imaging technologies (e.g. Daily et al., 1992, Slater et al., 1997; 2002). Despite the extensive development and utilization of these novel methods of contaminant detection, they are essentially unused in the study of wetlands
Wetlands are uniquely suited to water-born electrical surveys as the water depth is so shallow (typically a few feet); electrical current penetration into the sediments is maximized and high resolution electrical imaging is possible.
This work will demonstrate how state-of-the-art geophysical technologies conducted from shallow-water boats, combined with a GIS-based data management system, can contribute to wetland science by providing spatially extensive, non-invasive information on sediment and subsurface water quality hitherto unavailable to ecologists, geochemists and hydrologists involved in wetlands research.
This project seeks to determine how spatially and temporally extensive geophysical data can be organized within a wetland GIS to integrate information into a coherent georeferenced framework suitable for analyses and decision making.
Since there are plans to acquire, preserve, and restore 8400 acres of wetlands in the Meadowlands District, there is thus a need to rapidly evaluate the extent of non-point-source pollution of contaminated wetland sediments within the Meadowlands. Transferability of the technologies applied in this study on Kearny Marsh is possible to other wetlands within the Meadowlands