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ARS Home » Midwest Area » West Lafayette, Indiana » National Soil Erosion Research Laboratory » Research » Publications at this Location » Publication #350123
Research Project: Conservation Practice Impacts on Water Quality at Field and Watershed Scales

Location: National Soil Erosion Research Laboratory

Title: Evaluation of WEPP model performance with various climate inputs

Author
item Flanagan, Dennis
item SRIVASTAVA, ANURAG - Purdue University
item Frankenberger, James - Jim

Submitted to: ASABE Annual International Meeting
Publication Type: Proceedings
Publication Acceptance Date: 1/23/2018
Publication Date: 7/29/2018
Citation: Flanagan, D.C., Srivastava, A., Frankenberger, J.R. 2018. Evaluation of WEPP model performance with various climate inputs. Proceedings of the ASABE Annual International Meeting. ASABE Paper No. 1801739. 12 pp.

Interpretive Summary:

Technical Abstract: The Water Erosion Prediction Project (WEPP) model is a process-based soil erosion prediction system that simulates natural processes affecting hydrologic and erosional responses of a location, slope, soil, and management system. The main drivers of these processes are storm precipitation depth, duration, and rainfall intensities. WEPP was initially released in 1995, with a national climate database containing information from over 2600 stations with various periods of record. In 2015, an updated database was developed containing about 2700 stations with the same 40-year period of record (1974-2013). The databases have been under evaluation for use by the Natural Resources Conservation Service (NRCS) as they implement WEPP in their field offices. As part of the WEPP model interface development for NRCS, the option to utilize PRISM (Parameter-elevation Relationships on Independent Slopes Model) information to supplement the weather station data has been provided. In this paper, we will explore the impacts of utilizing the 1995 database, 2015 database, and PRISM-adjusted values on predicted precipitation, runoff, and soil loss at a number of selected locations.