AGNPS: A Nonpoint-Source Pollution Model for Evaluating Agricultural Watersheds. Young, R. A., Onstad, C. A., Bosch, D. D., & Anderson, W. P. 44(2):168–173.
AGNPS: A Nonpoint-Source Pollution Model for Evaluating Agricultural Watersheds [link]Paper  abstract   bibtex   
A computer model to analyze nonprofit-source pollution and to prioritize potential water quality problems in rural areas is described. The event-based model uses geographic cells of data units at resolutions of 0.4 to 16 ha to represent upland and channel conditions. Within the framework of the cells, runoff characteristics and transport processes of sediment, nutrients, and chemical oxygen demand are simulated for each cell and routed to the outlet. This permits the flow at any point in the watershed to be examined. Upland sources contributing to a potential problem can be identified and prioritized where remedial measures could be initiated to improve water quality most efficiently.
@article{youngAGNPSNonpointsourcePollution1989,
  title = {{{AGNPS}}: A Nonpoint-Source Pollution Model for Evaluating Agricultural Watersheds},
  author = {Young, R. A. and Onstad, C. A. and Bosch, D. D. and Anderson, W. P.},
  date = {1989-03},
  journaltitle = {Journal of Soil and Water Conservation},
  volume = {44},
  pages = {168--173},
  issn = {1941-3300},
  url = {http://www.jswconline.org/content/44/2/168.short},
  abstract = {A computer model to analyze nonprofit-source pollution and to prioritize potential water quality problems in rural areas is described. The event-based model uses geographic cells of data units at resolutions of 0.4 to 16 ha to represent upland and channel conditions. Within the framework of the cells, runoff characteristics and transport processes of sediment, nutrients, and chemical oxygen demand are simulated for each cell and routed to the outlet. This permits the flow at any point in the watershed to be examined. Upland sources contributing to a potential problem can be identified and prioritized where remedial measures could be initiated to improve water quality most efficiently.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13481122,agricultural-resources,modelling,pollution,water-resources},
  number = {2}
}

Downloads: 0