期刊
BIOSYSTEMS ENGINEERING
卷 216, 期 -, 页码 1-12出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.biosystemseng.2022.01.017
关键词
Sheet erosion; Clay loess soil; Slope steepness; Rainfall intensity; Hydraulic parameters
资金
- National Natural Science Foundation of China [41907046, 41790441, 41772316, 41830758]
- China Postdoctoral Science Foundation [2018M640998]
- State Key Laboratory of Earth Surface Processes and Resource Ecology [2020-KF-08]
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021402-2001]
- State Key Laboratory of Loess and Quaternary Geology [SKLLOG2008]
- National Key Research and Development Program of China [2018YFC1504701]
This study investigates sheet erosion of clay loess soil through simulation experiments. The results show that rainfall intensity and slope steepness have significant effects on sheet erosion, while flow velocity and shear stress can be used as predictors. The findings provide an accurate prediction method for sheet erosion on steep slopes of clay loess soil.
The process of sheet erosion has a dramatic influence on the development of soil erosion. To successfully model sheet erosion it is necessary to establish a suitable erosion prediction model for regions with clay loess soil. This study strives to achieve the following: 1) understanding and quantifying sheet erosion patterns caused by different variations of the rainfall intensity, slope steepness, and flow velocity, and 2) evaluate the influence of hydrodynamic parameters on sheet erosion for clay loess soil. A series of simulation experiments of rainfall on clay loess soil were carried out using a range of values of rainfall intensity (54, 78, 102, 126 and 150 mm h(-1)) and gradient (8.7, 17.6, 26.8, 36.4 and 46.6%). The simulation outcomes demonstrated that the rate of sheet erosion followed a power function of rainfall intensity and also gradient with a coefficient of determination R-2 of 0.98 and a NasheSutcliffe efficiency (NSE) of 0.96. The sensitivity of the sheet erosion rate to rainfall intensity was higher than its sensitivity to slope steepness. Furthermore, the sheet erosion rate could be predicted using its power-law dependence on flow velocity with R-2 of 0.88 and NSE of 0.82. The sheet erosion rate was optimally and linearly fitted with the shear stress with R-2 of 0.95 and NSE of 0.95, it was optimally fitted through power functions with either the stream power (with metrics of R-2 of 0.94 and NSE of 0.93) or the unit stream power (with R-2 of 0.74 and NSE of 0.68). Thus stream power represented a reliable predictor of the sheet erosion rate, and the shear stress was the better predictor. By contrast, the unit stream power was found to be a poor predictor of the sheet erosion rate. The findings of this study can help to accurately predict sheet erosion for clay loess soil on steep slopes. (C) 2022 IAgrE. Published by Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据