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Full-Text Articles in Agriculture
Applications Of Weps And Sweep To Non-Agricultural Lands, John Tatarko, David G. Walker, Simon Van Donk
Applications Of Weps And Sweep To Non-Agricultural Lands, John Tatarko, David G. Walker, Simon Van Donk
West Central Research and Extension Center, North Platte
Soil erosion by wind is a serious problem throughout the United States and the world. Dust from wind erosion obscures visibility and pollutes the air. It fills road ditches where it impacts water quality, causes automobile accidents, fouls machinery, and imperils animal and human health. Dust and specifically particulate matter less than 10 microns (PM10), is regulated by the US-EPA National Ambient Air Quality Standards. The Wind Erosion Prediction System (WEPS) model was developed by the USDA Agricultural Research Service, primarily for the USDA Natural Resources Conservation Service to simulate wind erosion and develop conservation plans on cultivated agricultural lands. …
Crop Residue In North Dakota: Measured And Simulated By The Wind Erosion Prediction System, Simon Van Donk, S. D. Merrill, D. L. Tanaka, J. M. Krupinsky
Crop Residue In North Dakota: Measured And Simulated By The Wind Erosion Prediction System, Simon Van Donk, S. D. Merrill, D. L. Tanaka, J. M. Krupinsky
West Central Research and Extension Center, North Platte
Residue cover is very important for controlling soil erosion by water and wind. Thus, the Wind Erosion Prediction System (WEPS) includes a model for the decomposition of crop residue. It simulates the fall rate of standing residue and the decomposition of standing and flat residue as a function of temperature and moisture. It also calculates residue cover from flat residue mass. Most of the data used to develop and parameterize this model have been collected in the southern U.S. We compared WEPS‐simulated residue cover with that measured in south‐central North Dakota for 50 two‐year cropping sequences from nine crops species …
Comparison Of The Weibull Model With Measured Wind Speed Distributions For Stochastic Wind Generation, Simon Van Donk, Larry E. Wagner, Edward L. Skidmore, John Tatarko
Comparison Of The Weibull Model With Measured Wind Speed Distributions For Stochastic Wind Generation, Simon Van Donk, Larry E. Wagner, Edward L. Skidmore, John Tatarko
West Central Research and Extension Center, North Platte
Wind is the principal driver of the Wind Erosion Prediction System (WEPS), which is a process−based computer model for the simulation of wind−blown sediment loss from a field. WEPS generates wind using a stochastic wind generator. The objectives of this study were to improve the stochastic generation of wind speed and direction and to update the wind statistics used by the generator with statistics derived from more recent, quality−controlled data for the 48 contiguous states of the U.S. Erosive wind power density (WPD) was chosen to evaluate how well wind is generated, since it is proportional to sediment …
A Field Test Of The Wind Erosion Prediction System, Simon Van Donk, Edward L. Skidmore
A Field Test Of The Wind Erosion Prediction System, Simon Van Donk, Edward L. Skidmore
West Central Research and Extension Center, North Platte
Field data need to be collected to test wind erosion models under a broad range of climate, soil, and management conditions. The objective of this study was to test the USDA- ARS Wind Erosion Prediction System (WEPS) for a field with winter wheat plants in a modest amount of flat residue. A 600 m by 415 m field was selected near Burlington, CO, USA. Big Spring Number Eight (BSNE) samplers were used to measure wind blown sediment flux and automated devices (Sensits) for continuous detection of saltation. A weather station recorded relevant meteorological data. Detailed measurements of the field surface …