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A GIS-based multimedia watershed model: development and application.

Lansana Coulibaly1, Mohamed E Labib, Robert Hazen

  • 1Kleinfelder Inc., Navy CLEAN, 1230 Columbia Street, Suite 400, San Diego, CA 92101, USA. lcouliba@bechtel.com

Chemosphere
|March 31, 2004
PubMed
Summary

A new multimedia model assesses trichloroethene (TCE) fate in the Passaic River Watershed using GIS data. This approach enhances understanding of toxic contaminant transport across environmental media.

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Area of Science:

  • Environmental Science
  • Environmental Modeling
  • Geographical Information Systems (GIS)

Background:

  • Trichloroethene (TCE) is a significant environmental contaminant.
  • Understanding contaminant fate and transport is crucial for watershed management.
  • Existing models often lack spatial resolution for complex environmental units.

Purpose of the Study:

  • To develop and apply a spatially resolved multimedia model for assessing TCE fate.
  • To evaluate TCE distribution and transport within the Passaic River Watershed.
  • To identify data gaps in environmental monitoring for improved modeling.

Main Methods:

  • Utilized publicly available GIS data, chemical release data, and monitoring networks.
  • Developed an unsteady-state multimedia model incorporating spatial resolution.

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  • Modeled seven environmental media (air, water, sediment, soil, vegetation) and their sub-compartments.
  • Defined sub-watersheds as environmental units for spatial analysis.
  • Main Results:

    • Successfully demonstrated spatial representation of cross-boundary contaminant fluxes.
    • Assessed TCE fate and transport across 11 sub-watersheds within the Passaic River Basin.
    • Identified critical data gaps, including limited organic contaminant monitoring and non-uniform physical environmental data.

    Conclusions:

    • The developed spatially explicit multimedia model is effective for assessing toxic contaminant fate.
    • Sub-watersheds serve as effective environmental units for understanding contaminant transport.
    • Improved and standardized environmental monitoring data are essential for refining such models.