2013 Annual Report
The Wind Erosion Prediction System computer code was also enhanced with the addition of sub-field capability. The model can now simulate field variation in soil type and management actions within a field and between adjacent fields. Once testing is complete, the user interface and documentation will be revised and the enhanced model made available to the public. The core component of the model that simulates the wind erosion processes has also been coded into discrete modules. The use of improved computer memory allocation and a modular structure enable developers to more easily add new functions, such as wind blowing and movement of surface residues. These enhancements will be included in a future release.
Collaborative research with university scientists in Florida and Michigan continued a study with the goal to determine the effects of organic dominated soil properties, climate, and management on soil wind erodibility properties over time. The field portion of the research was completed and data analysis is in progress.
Laboratory wind tunnel research was begun into predicting the emission of fine particles less than 2.5 microns in size from agricultural soils. Such fine particles are regulated by the US Environmental Protection Agency as a health concern and predicting the potential amounts of emissions from various soils will aid in the design of control practices.
With the aid of satellite data, the erosion submodel has been incorporated into a regional air quality modeling system. This new modeling system can be applied to investigate the impact of windblown dust on ambient PM10 concentrations for historical events.
The Wind Erosion Prediction System model was used to simulate the effects of crop residue removal for bioenergy on wind erosion potential. Results will help producers and planners determine the amounts of crop residue available for bioenergy purposes while maintaining the soil and air quality in the regions where residue is removed. Simulations were made for over 90 crop rotations on the major soil types in 241 counties in five Great Plains states (CO, KS, OK, NE, TX). Rotations were simulated for high and low yields crops, with and without residue removal.
Three chapters were substantially completed for an upcoming USDA Agricultural Handbook: The Wind Erosion Prediction System Technical Documentation. The chapters were: .
Wagner, L.E., Fox, F.A. 2013. The management submodel of the Wind Erosion Prediction System. Applied Engineering in Agriculture. 29(3):361-372.
Tatarko, J., Sporcic, M.A., Skidmore, E.L. 2013. A history of wind erosion prediction models in the United States Department of Agriculture Prior to the Wind Erosion Prediction System. Aeolian Research. 10:3-8.
Chung, S.H., Herron-Thorpe, F.L., Lamb, B.K., Vanreken, T.M., Vaughn, J., Gao, J., Wagner, L.E., Fox, F.A. 2013. Application of the Wind Erosion Prediction System in the AIRPACT regional air quality modeling framework. Transactions of the ASABE. 56(2):625-641.
Retta, A., Wagner, L.E., Tatarko, J., Todd, T. 2013. Evaluation of bulk density and vegetation as affected by military vehicle traffic at Fort Riley, Kansas. Transactions of the ASABE. 56(2):653-665.
Blanco-Canqui, H., Holman, J.D., Schlegel, A.J., Tatarko, J., Shaver, T.M. 2013. Replacing fallow with cover crops in a semiarid soil: effects on soil properties. Soil Science Society of America Journal. 77(3):1026-1034.
Hagen, L.J., Casada, M.E. 2013. Effect of canopy leaf distribution on sand transport and abrasion energy. Aeolian Research. 10:37-42.
Wagner, L.E. 2013. A history of wind erosion prediction models in the United States Department of Agriculture: The Wind Erosion Prediction System (WEPS). Aeolian Research. 10:9-24.
Zobeck, T.M., Baddock, M., Van Pelt, R.S., Tatarko, J., Acosta Martinez, V. 2013. Soil property effects on wind erosion of organic soils. Aeolian Research. 10(1):43-51.