A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions
The U.S. Geological Survey National Water Quality Assessment Program has completed a number of water-quality prediction models for nitrogen and phosphorus for the conterminous United States as well as for regional areas of the nation. In addition to estimating water-quality conditions at unmonitored streams, the calibrated SPAtially Referenced Regressions On Watershed attributes (SPARROW) models can be used to produce estimates of yield, flow-weighted concentration, or load of constituents in water under various land-use condition, change, or resource management scenarios. A web-based decision support infrastructure has been developed to provide access to SPARROW simulation results on stream water-quality conditions and to offer sophisticated scenario testing capabilities for research and water-quality planning via a graphical user interface with familiar controls. The SPARROW decision support system (DSS) is delivered through a web browser over an Internet connection, making it widely accessible to the public in a format that allows users to easily display water-quality conditions and to describe, test, and share modeled scenarios of future conditions. SPARROW models currently supported by the DSS are based on the modified digital versions of the 1:500,000-scale River Reach File (RF1) and 1:100,000-scale National Hydrography Dataset (medium-resolution, NHDPlus) stream networks. ?? 2011 American Water Resources Association. This article is a U.S. Government work and is in the public domain in the USA.
Citation Information
Publication Year | 2011 |
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Title | A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions |
DOI | 10.1111/j.1752-1688.2011.00573.x |
Authors | N.L. Booth, E.J. Everman, I.-L. Kuo, L. Sprague, L. Murphy |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Journal of the American Water Resources Association |
Index ID | 70034270 |
Record Source | USGS Publications Warehouse |