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Title: Comparison of SWAT and AnnAGNPS Applications to a Sub-Watershed Within the Chesapeake Bay Watershed in Maryland

Author
item Sadeghi, Ali
item YOON, KWANG - VISITNG SCIENTIST
item GRAFF, CARRIE - LIMNO TECHNOLOGY
item McCarty, Gregory
item McConnell, Laura
item SHIRMOHAMMADI, ADEL - UNIVERSITY OF MARYLAND
item Hively, Wells - Dean
item Sefton, Kerry

Submitted to: Annual International SWAT Conference
Publication Type: Abstract Only
Publication Acceptance Date: 6/15/2007
Publication Date: 6/15/2007
Citation: Sadeghi, A.M., Yoon, K., Graff, C., McCarty, G.W., McConnell, L.L., Shirmohamadi, A., Hively, W.D., Sefton, K.A. 2007. Comparison of SWAT and AnnAGNPS applications to a sub-watershed within the Chesapeake Bay Watershed in Maryland [abstract]. 4th International SWAT Conference, Soil and Water Assessment Tools, Book of Abstracts. p. 130.

Interpretive Summary:

Technical Abstract: This study was conducted under the USDA-CEAP program on the Choptank watershed which is located within the Chesapeake Bay watershed in the Eastern Shore region of Maryland. The watershed is nearly 400 square mile and is dominated by corn and soybean productions. Poultry manure is being used heavily in this watershed and thus, nitrogen and phosphorous are being considered as major pollutant loads into the surface water resources. Two of the most widely used USDA watershed-scale models, SWAT (Soil and Water Assessment Tool) and AnnAGNPS (Annualized Agricultural Non-Point Source) are being applied on this watershed in order to quantify the environmental benefits of USDA Conservation Practices such as cover crops. Five years (1991-1995) of detailed database is being used to provide baseline calibration and validation of the two models. Preliminary simulation results showed significant differences in base-flow estimations for the two models; that is a significant factor in model selection for this region of fairly flat landscape. The details of our modeling approach as well as the model calibrations and validations procedures, and their predicted capabilities for flow, nutrients, and sediment estimations will be presented and discussed.