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dc.contributor.authorKleene, J. Wesleyen_US
dc.date.accessioned2007-02-27en_US
dc.date.accessioned2014-03-14T21:09:45Z
dc.date.available2007-02-27en_US
dc.date.available2014-03-14T21:09:45Z
dc.date.issued1995-03-05en_US
dc.date.submitted2007-02-27en_US
dc.identifier.otheretd-02272007-092409en_US
dc.identifier.urihttp://hdl.handle.net/10919/37434
dc.description.abstract

A comprehensive, distributed parameter, annual, watershed nonpoint source management system (WATNPS) was developed for land management planning. WATNPS simulates annual sediment, nitrogen (chemical and livestock organic), and phosphorus (chemical and livestock organic) yields from nonpoint sources. The system is linked to a GIS platform to reduce the input required by personnel during analysis. WATNPS predicts potential impacts of land management practices on surface water quality.

Data were compiled for the Middle Fork Holston River (MFHR) drainage basin, Owl Run and Nomini Creek watersheds in Virginia. WATNPS utilizes annual screening models for the prediction of pollutant yields. Overland delivery ratio, phosphorus yield, and animal waste models were modified for use in the system. In-stream delivery ratio, and pollutant routing procedures were developed as a part of the overall system functionality. Development and calibration of individual in-stream delivery ratio parameters was performed based on single year data from Nomini Creek and Owl Run.

A procedure was developed to rank individual watersheds and sites based on predicted pollutant yields during screening. Simulation results and individual watershed characteristics were used during the development of a drainage quality index (DQI). The DQI was developed using statistical analysis to link a water quality indicator to predicted yields and watershed characteristics. The DQI was developed to assess the impact of management within individual watersheds and among watersheds within a drainage basin.

WATNPS was validated using observed data. During simulations WATNPS predicted sediment yields within 50% of observed values. Nutrient yields were predicted within a order of magnitude.

en_US
dc.format.mediumBTDen_US
dc.publisherVirginia Techen_US
dc.relation.haspartLD5655.V856_1995.K644.pdfen_US
dc.subjectwatershed management systemen_US
dc.subjectgeographic information systemen_US
dc.subjectnonpoint sourceen_US
dc.subject.lccLD5655.V856 1995.K644en_US
dc.titleWatershed nonpoint source management system : a geographic information system approachen_US
dc.typedissertationen_US
dc.contributor.departmentAgricultural Engineeringen_US
thesis.degree.namePhDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
dc.contributor.committeechairShanholtz, Vernon O.en_US
dc.contributor.committeememberDillaha, Theo A. IIIen_US
dc.contributor.committeememberRoss, Burton Blakeen_US
dc.contributor.committeememberBoardman, Gregory D.en_US
dc.contributor.committeememberCarstensen, Laurence William Jr.en_US
dc.contributor.committeememberPerumpral, John V.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02272007-092409/en_US


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