*Chris S. Renschler and Tom Cochrane, USDA-ARS National Soil Erosion Research Laboratory, 1196 Soil Building, West Lafayette, IN 47907-1196, USA; Jon Harbor; Dept. of Earth and Atmospheric Sciences, Purdue University, West Lafayette, IN 47907, USA; Bernd Diekkrüger, Geographical Institutes, Bonn University, Meckenheimer Allee 166, 53115 Bonn, Germany. *Corresponding author: [email protected] ;...

Neural networks may provide a user-friendly alternative or supplement to complex physically based models for soil erosion prediction for some study areas. The purpose of this study was to investigate the applicability of using neural networks to quantitatively predict soil loss from natural runoff plots. Data from 2879 erosion events from eight locations in the United States were used. Neural n...

the wepp physically model is able to dynamically simulate runoff and soil erosion using physical concepts of erosion and hydraulic of overland flow science considering plant growth, residue decomposition, winter process. determination of the capability of this model in runoff and erosion estimation in different range type with investigation the effects of management were the main objectives of ...

In the Loess Plateau, soil erosion has not only caused serious ecological and environmental problems but has also impacted downstream areas. Therefore, a model is needed to guide the comprehensive control of soil erosion. In this study, we introduced the WEPP model to simulate soil erosion both at the slope and watershed scales. Our analyses showed that: the simulated values at the slope scale ...

In this research, the impact of a carbon sequestration project, in the Hossein Abad Plain in Southern Khorasan Province of Iran, on the status of water and wind erosion was evaluated. The study area has a harsh climatic condition with low annual precipitation and is prone to well-known 120-day winds in summer. Since 2005, various soil conservation treatments (plantations, over-sowing, plantatio...

Equations used to calculate erodibility in the Water Erosion Prediction Project soil erosion Ž . model WEPP are based on erodibility studies in the USA and may not function well in another Ž . region. This study was conducted to: i analyze erodibility and infiltration characteristics of some Ž . predominant soils of southern Spain, and ii test equations used to calculate interrill erodibility i...

CLIGEN is a stochastic weather generator to produce daily variables to drive process-based runoff and erosion prediction models such as WEPP. Algorithms were developed to compute the R-factor, its monthly distribution, and 10-year storm erosion index (EI) needed to apply the revised Universal Soil Loss Equation (RUSLE) using stochastically generated weather variables. Measured R-factor and 10-y...