Modeling sediment concentration of rill flow

被引:17
|
作者
Yang, Daming [1 ]
Gao, Peiling [1 ,2 ]
Zhao, Yadong [1 ]
Zhang, Yuhang [1 ]
Liu, Xiaoyuan [1 ]
Zhang, Qingwen [3 ]
机构
[1] Shandong Univ Technol, Sch Agr Engn & Food Sci, Zibo 255049, Peoples R China
[2] Shandong Univ Technol, Sch Resources & Environm Engn, Zibo 255049, Peoples R China
[3] Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100086, Peoples R China
基金
中国国家自然科学基金;
关键词
Rill erosion; Flow velocity; Slope gradient; Flow discharge; Sediment concentration; Hydraulic parameters; OVERLAND-FLOW; SOIL-EROSION; TRANSPORT CAPACITY; LOESS PLATEAU; WATER EROSION; DEPOSITION PROCESSES; PHYSICAL PRINCIPLES; MATHEMATICAL-MODEL; IRREGULAR BEDS; STEEP SLOPES;
D O I
10.1016/j.jhydrol.2018.04.009
中图分类号
TU [建筑科学];
学科分类号
0813 ;
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.
引用
收藏
页码:286 / 294
页数:9
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