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ARS Home » Midwest Area » West Lafayette, Indiana » National Soil Erosion Research Laboratory » Research » Publications at this Location » Publication #290731
Title: WEPP modeling in the Great Lakes Basin

Author
item Flanagan, Dennis
item Frankenberger, James - Jim
item WU, J - Washington State University
item DUN, S - Washington State University
item ELLIOT, W - Us Forest Service (FS)

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 2/15/2013
Publication Date: 6/2/2013
Citation: Flanagan, D.C., Frankenberger, J.R., Wu, J.Q., Dun, S., Elliot, W.J. 2013. WEPP modeling in the Great Lakes Basin [abstract]. In: Abstract Book, 56th Annual Conference on Great Lakes Research, International Association for Great Lakes Research (IAGLR), June 2-6, 2013, Ann Arbor, MI: IAGLR. p. 88.

Interpretive Summary:

Technical Abstract: The USDA-ARS Water Erosion Prediction Project (WEPP) model is a state-of-the-art physical process-based computer simulation model for estimating runoff, soil erosion, and sediment losses from a range of land management systems, including cropland, rangeland, and forests. The National Soil Erosion Research Laboratory (NSERL) located at Purdue University supports and maintains WEPP, and works with cooperators around the country and world on model development and application projects. In the Great Lakes Basin, several efforts are currently underway. The NSERL is collaborating with the USDA-Forest Service and Washington State University on development of a web-based GIS tool for conducting WEPP model applications to forested watersheds around the Great Lakes, partially supported by a grant from the U.S. Army Corps of Engineers. In other work, WEPP is being applied to fields and watersheds in the Cedar Creek tributary of the St. Joseph River, under existing and projected future climate scenarios to evaluate the effectiveness of best management practices (BMPs) and how that effectiveness may change. This presentation will describe WEPP model and interface development efforts, as well as model applications currently underway and planned in the next few years.