A phosphorus index that combines critical source areas and transport pathways using a travel time approach

► We propose a phosphorus pollution index based on travel times and source risk. ► The index incorporates saturation-excess hydrology. ► It predicts spatial extents of phosphorus loading and routing pathways. ► Artificial drainage networks play a role in NPS pollution transport. ► This index has pro...

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Veröffentlicht in:Journal of hydrology (Amsterdam) 2013-04, Vol.486, p.123-135
Hauptverfasser: Buchanan, Brian P., Archibald, Josephine A., Easton, Zachary M., Shaw, Stephen B., Schneider, Rebecca L., Todd Walter, M.
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Sprache:eng
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Zusammenfassung:► We propose a phosphorus pollution index based on travel times and source risk. ► The index incorporates saturation-excess hydrology. ► It predicts spatial extents of phosphorus loading and routing pathways. ► Artificial drainage networks play a role in NPS pollution transport. ► This index has promise as a screening tool for water resource managers. Spatially distributed nonpoint source (NPS) pollution indices are used to identify areas in a watershed where potential pollutant loading coincides with runoff generating areas. However, most such indices either ignore the degree of hydrologic connectivity to the stream network or they estimate it based simply on the distance of the pollution generating area from an open channel. We propose an NPS pollution index based on runoff travel times from saturated variable source areas (VSAs) to the natural stream network as a means for including hydrologic connectivity between source areas and streams. Although this method could be generalized to any pollutant transported by storm runoff, here we focus on phosphorus and refer to the index as the travel-time phosphorus index (TTPI). The TTPI was applied to a 38km2 agricultural watershed in central New York and shown to yield realistic, spatially explicit predictions of critical phosphorus loading areas and routing pathways. One interesting finding is the potential role of man-made drainage networks (e.g., road- or agricultural-ditches) in NPS pollution and the possibilities of targeting water quality protection practices around or within these networks. Because the technique is GIS-based, relatively simple to apply, uses readily available geospatial data, and the theoretical underpinnings are transparent, it can provide a useful screening tool for water resource managers charged with the identification and remediation of critical NPS pollution source areas.
ISSN:0022-1694
1879-2707
DOI:10.1016/j.jhydrol.2013.01.018