Application of a distributed erosion model for the assessment of spatial erosion patterns in the Lushi catchment,China |
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| Authors: | Guoqiang Wang Jingshan Yu S Shrestha H Ishidaira K Takeuchi |
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| Institution: | (1) College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, 100875 Beijing, China;(2) Water Engineering and Management (WEM), School of Engineering and Technology (SET), Asian Institute of Technology (AIT), P.O. Box 4, Klong Luang, Pathumthani, 12120, Thailand;(3) Department of Civil and Environmental Engineering, University of Yamanashi, 4-3-11, Takeda, Kofu Yamanashi, 400-8511, Japan;(4) International Centre for Water Hazard and Risk Management, Tsukuba Ibaraki, 305-8516, Japan |
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| Abstract: | A grid-based erosion model is developed by integrating the distributed hydrological model, BTOPMC, with the modified USLE
to estimate soil erosion and sediment outflow during single storms. The possible sheet, rill, channel erosion types, and sediment
transport processes are considered within each grid under the model structure. Instead of representing the sheet erosion and
rill erosion separately, the classic USLE method is modified to simulate the lumped sheet–rill erosion during storms. In the
modification, the runoff ratio and a relevant correction coefficient are brought into the R-factor which improves the model’s applicability in predicting erosion during single storms. Instead of representing a grid
with a unique erosion type, a channel component is assumed to exist in each grid, and its width varies with the upstream contributing
area of the grid. This assumption avoids the problems that are caused by the difference between the channel widths in the
upstream area and the downstream area if the grid is simply recognized as a channel grid. It also enables the model to be
applicable in simulating soil erosion and sediment outflow from a large catchment. Through a case study in the Lushi catchment,
China, the results show an overall satisfactory accuracy for the selected events. Moreover, by analyzing the spatial distribution
of soil erosion or deposition, the erosion-prone areas are identified for the prioritization purpose. |
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