Modeling sediment concentration of rill flow

文献类型： 外文期刊

第一作者： Yang, Daming

作者： Yang, Daming;Gao, Peiling;Zhao, Yadong;Zhang, Yuhang;Liu, Xiaoyuan;Gao, Peiling;Zhang, Qingwen

作者机构：

关键词： Rill erosion; Flow velocity; Slope gradient; Flow discharge; Sediment concentration; Hydraulic parameters

期刊名称：JOURNAL OF HYDROLOGY （ 影响因子：5.722； 五年影响因子：6.033 ）

ISSN： 0022-1694

年卷期： 2018 年 561 卷

页码：

收录情况： SCI

摘要： Accurate estimation of sediment concentration is essential to establish physically-based erosion models. The objectives of this study were to evaluate the effects of flow discharge (Q), slope gradient (S), flow velocity (V), shear stress (tau), stream power (omega) and unit stream power (U) on sediment concentration. Laboratory experiments were conducted using a 10 x 0.1 m rill flume under four flow discharges (2, 4, 8 and 16 L min(-1)), and five slope gradients (5 degrees, 10 degrees, 15 degrees, 20 degrees and 25 degrees). The results showed that the measured sediment concentration varied from 87.08 to 620.80 kg m(-3) with a mean value of 343.13 kg m(-3). Sediment concentration increased as a power function with flow discharge and slope gradient, with R-2 = 0.975 and NSE = 0.945. The sediment concentration was more sensitive to slope gradient than to flow discharge. The sediment concentration was well predicted by unit stream power (R-2 = 0.937, NSE = 0.865), whereas less satisfactorily by flow velocity (R-2 = 0.470, NSE = 0.539) and stream power (R-2 = 0.773, NSE = 0.732). In addition, using the equations to simulate the measured sediment concentration of other studies, the result further indicated that slope gradient, flow discharge and unit stream power were good predictors of sediment concentration. In general, slope gradient, flow discharge and unit stream power seem to be the preferred predictors for estimating sediment concentration.

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