Land Management and Water Conservation Research Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
GRACEnet
Long-Term Agroecosystem Research (LTAR) Network
Integrated Cropping Systems
Air Resources
 

Research Project: EROSION PREDICTION TECHNOLOGY TO ENHANCE CONSERVATION PLANNING

Location: Land Management and Water Conservation Research

Title: Improving frost-simulation subroutines of the Water Erosion Prediction Project (WEPP) model

Authors
item Dun, S. -
item Wu, J. -
item McCool, Donald
item Frankenberger, James
item Flanagan, Dennis

Submitted to: Transactions of the ASABE
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: September 11, 2010
Publication Date: October 1, 2010
Repository URL: http://hdl.handle.net/10113/46701
Citation: Dun, S., Wu, J.Q., McCool, D.K., Frankenberger, J.R., Flanagan, D.C. 2010. Improving frost-simulation subroutines of the Water Erosion Prediction Project (WEPP) model. Transactions of the ASABE. 53(5):1399–1411.

Interpretive Summary: The Water Erosion Prediction Project (WEPP) model developed by the U. S. Department of Agriculture contains a major component to simulate winter hydrologic processes, including snow accumulation/melt and soil freeze/thaw. WEPP has been used successfully in the evaluation of important natural resource issues throughout the US and in a number of other countries. However, studies have revealed problems in the winter component of the model. We modified the algorithms and subroutines that represent soil freeze/thaw processes and assessed the performance of the modified model by applying it to research data from two widely different climatic areas. Results of applying the modified WEPP to experimental plots at Pullman, WA and Morris, MN showed substantially improved agreement with field data. NRCS and other agencies and private consultants can now use WEPP with greater confidence in areas influenced by winter hydrology.

Technical Abstract: Erosion models play an important role in assessing the influence of human activities on the environment. For cold areas, adequate frost simulation is crucial for predicting surface runoff and water erosion. The Water Erosion Prediction Project (WEPP) model, physically-based erosion-prediction software developed by the USDA, has a major component to simulate winter processes, including snow accumulation and melt as well as soil freeze and thaw. WEPP is successfully used in the evaluation of important natural resource issues throughout the US and in a number of other countries. However, a preliminary study revealed problems in the winter component of the WEPP model, especially the routine for frost simulation. The main purpose of this study was to improve the WEPP model v2006.5 so that it can more adequately simulate soil freeze-thaw and winter runoff and erosion. The specific objectives were: (1) to modify the related algorithms and subroutines in WEPP v2006.5 that improperly represent soil freeze-thaw processes; and (2) to assess the performance of the modified model by applying it to two research plots under different climatic conditions. Changes in soil profile discretization and computation of key thermal and hydraulic parameters were made in the frost simulation routines of WEPP (v2006.5), and the modified WEPP (v2008.9) was applied to experimental plots at Pullman, WA, and Morris, MN. Simulation results from WEPP v2008.9 were compared with those from WEPP v2006.5 as well as with field observations. The results from WEPP v2008.9 showed substantially improved agreement with field data compared to those from WEPP v 2006.5.

   

 
Publications
   Publications
 
Related National Programs
  Climate Change, Soils, and Emissions (212)
  Water Availability and Water Management (211)
 
 
Last Modified: 05/25/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House