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

被引:57
作者
Buchanan, Brian P. [1 ]
Archibald, Josephine A. [2 ]
Easton, Zachary M. [3 ]
Shaw, Stephen B. [4 ]
Schneider, Rebecca L. [1 ]
Walter, M. Todd [2 ]
机构
[1] Cornell Univ, Dept Nat Resources, Ithaca, NY 14853 USA
[2] Cornell Univ, Dept Biol & Environm Engn, Ithaca, NY 14853 USA
[3] Virginia Polytech Inst & State Univ, Dept Biol Syst Engn, Blacksburg, VA 24061 USA
[4] SUNY Sch Environm Sci & Forestry, Dept Environm Engn, New York, NY USA
关键词
Non-point source pollution; Phosphorus index; Variable source area; Runoff travel time; Pollution risk; Spatially distributed; HYDROLOGICALLY SENSITIVE AREAS; NONPOINT-SOURCE POLLUTION; AGRICULTURAL LAND; DIFFUSE POLLUTION; WATER-QUALITY; BUFFER ZONES; RUNOFF; MANAGEMENT; LANDSCAPE; MODEL;
D O I
10.1016/j.jhydrol.2013.01.018
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 38 km(2) 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. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:123 / 135
页数:13
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