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Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Prioritizing Watershed Conservation for Sediment Load Reduction in the Coastal Plain of Southwest GeorgiaPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: TMDL 2010: Watershed Management to Improve Water Quality Proceedings, 14-17 November 2010 Hyatt Regency Baltimore on the Inner Harbor, Baltimore, Maryland USA 711P0710cd.(doi:10.13031/2013.35784)Authors: Taeil Jang, George Vellidis, Jeffrey B Hyman, Erin Brooks Keywords: Synoptic approach, Geographic prioritization, Conceptual model, Criterion, Indicator In a climate of limited resources, it is often necessary to geographically prioritize watershed conservation efforts. The synoptic approach, which was originally developed as an ecologically based tool for geographic prioritization of wetland protection and restoration efforts. Synoptic assessments use a benefit-cost framework to calculate indices for functional criteria in subunits (watersheds, counties) of a region and then rank the subunits. The objective of this study is to use the synoptic approach to perform a geographic prioritization of watershed in which conservation practices can be used to reduce sediment loads. To develop a prioritization tool, we first develop a conceptual model within which we prioritize criteria, formulate indices, and select indicators for sediment load reduction. The benefit of watershed conservation for sediment load reduction is a function of following descriptions: conservation support and willingness, conservation cost and land availability, hydrologic processes of headwater and floodplain, and pollutant sources. The conceptual model is being validated in the Little River Experimental Watershed of Georgia. This model will be enable managers to identify best candidate areas where Best Management Practice (BMP) implementation would optimize water quality improvement. (Download PDF) (Export to EndNotes)
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