Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Edward L. Skidmore"'
Autor:
Edward L. Skidmore, James Williams
Publikováno v:
Modeling Plant and Soil Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1296ee6256b57f0944e114c0dfb0edb
https://doi.org/10.2134/agronmonogr31.c19
https://doi.org/10.2134/agronmonogr31.c19
Publikováno v:
Environmental Modelling & Software. 19:177-183
The Wind Erosion Prediction System (WEPS) is a process-based model that simulates daily weather and field conditions along with hourly wind speeds and erosion. Its physical basis should allow model application to regions outside the US for which it w
Autor:
Xuewen Huang, Dick L. Gebhart, Valerie E Prehoda, Alan B. Anderson, Edward L. Skidmore, Elizabeth M Kellogg, Simon J. van Donk
Publikováno v:
Journal of Arid Environments. 54:687-703
Military training activities reduce vegetation cover, disturb crusts, and degrade soil aggregates, making the land more vulnerable to wind erosion. The objective of this study was to quantify wind erosion rates for typical conditions at the Marine Co
Autor:
Edward L. Skidmore, Simon J. van Donk
Publikováno v:
Earth Surface Processes and Landforms. 28:1243-1258
The Wind Erosion Prediction System (WEPS) includes submodels to simulate soil erosion by wind, roughness degradation and residue decomposition. These WEPS submodels were tested using data measured on a 600 m by 415 m farmer's field, planted with win
Publikováno v:
Agronomy Journal. 87:235-244
The USDA initiated the Wind Erosion Prediction System (WEPS) to develop improved technology for piling wind erosion. A HYDROLOGY submodel has been developed for WEPS to simulate the soil energy and water balances. This study was conducted to evaluate
Autor:
R.G. Nelson, Edward L. Skidmore
Publikováno v:
Agronomy Journal. 84:98-101
Control and prediction of wind erosion require knowledge of the effectiveness of surface vegetative cover. The effectiveness is usually referenced to as small-grain equivalent. The procedure used to convert mixed vegetation to small-grain equivalent
Autor:
Simon J. van Donk, Edward L. Skidmore
Publikováno v:
2001 Sacramento, CA July 29-August 1,2001.
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 plan
Publikováno v:
Agronomy Journal. 92:225
A recently developed wind erosion model (wind erosion prediction system, WEPS) for crop lands is being extended for estimating soil erosion from rangelands, military lands, and desert ecosystems. Wind velocity near the soil surface is calculated as a
Autor:
Edward L. Skidmore, David Pimentel
Publikováno v:
Science. 286:1477-1477
In his report “Decreased rates of alluvial sediment storage in the Coon Creek Basin, Wisconsin, 1975–93” (20 Aug., p. [1244][1]), Stanley W. Trimble presents the significant findings that there is a relatively constant supply of sediments relea
Autor:
Simon J. van Donk, Edward L. Skidmore
Publikováno v:
Earth Surface Processes & Landforms; Oct2003, Vol. 28 Issue 11, p1243-1258, 16p