Type of Document Dissertation Author Kleene, J. Wesley URN etd-02272007-092409 Title Watershed nonpoint source management system : a geographic information system approach Degree PhD Department Agricultural Engineering Advisory Committee
Advisor Name Title Shanholtz, Vernon O. Committee Chair Boardman, Gregory D. Committee Member Carstensen, Laurence William Jr. Committee Member Dillaha, Theo A. III Committee Member Perumpral, John V. Committee Member Ross, Burton Blake Committee Member Keywords
- watershed management system
- geographic information system
- nonpoint source
Date of Defense 1995-03-05 Availability restricted 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.
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