A GIS-based multimedia watershed model: development and application
| Autor: | Lansana Coulibaly, Mohamed Emam Labib, Robert E. Hazen |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Geologic Sediments
Environmental Engineering Watershed Health Toxicology and Mutagenesis Drainage basin Environment computer.software_genre Environmental data Soil Rivers GIS in environmental contamination Vadose zone Environmental Chemistry Trichloroethanes geography geography.geographical_feature_category Multimedia New Jersey Air Public Health Environmental and Occupational Health Water General Medicine General Chemistry Models Theoretical Plants Pollution Geological survey Geographic Information Systems Environmental science Soil conservation computer Surface water Environmental Monitoring |
| Zdroj: | Chemosphere. 55(7) |
| ISSN: | 0045-6535 |
| Popis: | A multimedia model was developed using publicly available geographical information system (GIS) data, chemical release information and local monitoring networks to assess the fate of trichloroethene (TCE) within the Passaic River Watershed. Seven environmental media, air, water, sediment, surface soil, terrestrial vegetation, root zone soil and vadose zone soil, were modeled in this study along with their sub-compartments. The Passaic River Watershed is described using the NJDEP geographical information system (GIS) resources, the United States Geological Survey (USGS) and the United States Soil Conservation Services (US SCS) soil data. The introduction of spatial resolution to a multimedia, unsteady state model is performed in this work, and represents an important step in expanding the use of equilibrium models to provide far reaching information on the fate of toxic contaminants within a given environmental unit. The spatial representation of cross-boundary fluxes was successfully demonstrated with the use of sub-watershed as an environmental unit and the direct assessment of TCE for each of the 11 sub-watersheds that make up the Passaic River Basin in northern New Jersey. Important data gaps identified during the development of this model include the lack of comprehensive monitoring data on organic contaminants, and non-uniformity among available physical environmental data from different government agencies. |
| Databáze: | OpenAIRE |
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