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United States Department of Agriculture

Agricultural Research Service

Title: US and Chinese Scientists Collaborate on Wind Erosion Prediction Technology

Author
item Skidmore, Edward

Submitted to: Soil and Water Conservation Society
Publication Type: Abstract Only
Publication Acceptance Date: July 21, 2007
Publication Date: July 21, 2007
Citation: Skidmore, E.L. 2007. US and Chinese scientists collaborate on wind erosion prediction technology [abstract]. Soil and Water Conservation Society. p.91-92.

Interpretive Summary: Abstract only.

Technical Abstract: In May 2002, USDA and Chinese officials participated in a signing ceremony for collaboration between USDA and China on soil erosion and conservation and management of natural resources at Northwest A&F University in Yangling, China. Since that signing the USDA-ARS Wind Erosion Research Unit, Manhattan, Kansas has participated in several collaborative activities with scientists from several universities in China including: Northwest A&F, Beijing Normal, Beijing Agriculture, Inner Mongolia Agriculture, and Lanzhou. These activities included: exchange visits, seminar presentations, conference presentations, workshop presentation on the Wind Erosion Prediction system (WEPS). Following the WEPS workshop, it was recognized that at some locations where wind erosion is a problem, only limited wind data are available. For example, at Yulin wind data have been recorded at only four times a day. Therefore, we investigated whether wind speed and direction can be simulated adequately from temporally limited data for use in WEPS. Erosive wind power densities, calculated from both datasets, agreed well with each other. The same was true for prevailing wind erosion direction and WEPS-simulated soil loss. In spite of temporally limited wind data, it is possible to use WEPS to estimate the wind erosion hazard and relative effectiveness of various conservation practices. Several collaborative activities are being developed. These include further work on the determination of minimum data necessary for useful application of WEPS and co-advising of graduate students.

Last Modified: 12/18/2014
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