4.6 Article

Evaluation of shear stress and unit stream power to determine the sediment transport capacity of loess materials on different slopes

Journal

JOURNAL OF SOILS AND SEDIMENTS
Volume 18, Issue 1, Pages 116-127

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11368-017-1758-5

Keywords

Loess soil; Rill flow; Sediment transport capacity; Shear stress; Unit stream power

Funding

  1. National Natural Science Foundation of China [41471230, 41601282, 41171227]
  2. National Key Research and Development Program of China [2016YFC0402401]
  3. Special-Funds of Scientific Research Programs of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021403-C2]

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This study aims to evaluate the relationship between loess soil-based sediment transport capacity and the most well-known and extensively used shear stress and unit stream power for different steep slopes. This study also determined the suitability of shear stress- and unit stream power-based transport capacity functions for rill flow on non-erodible bed. Loess soil was collected from Ansai County, which is located in a typical loessial region in China's Loess Plateau. The median diameter of the loess soil was 0.04 mm. The experiment was conducted in a rill flume with a soil-feeding hopper. The slope gradients in this study ranged from 10.51 to 38.39%, and the flow discharges per unit width varied from 1.11 x 10(-3) to 3.78 x 10(-3) m(2) s(-1). The sediment transport capacity was measured for each combination. Results showed that T-c can be effectively described by the power function shear stress-based equations for various slope gradients with R (2) > 0.94 and P < 0.01. Shear stress was a good predictor of T-c for different slope gradients with the Nash-Sutcliffe model efficiency (NSE) from 0.94 to 0.99. Moreover, shear stress was better in predicting T-c when the slope gradient was above 21.26%. T-c can be efficiently described by the power function unit stream power-based equations for various slope gradients with R (2) > 0.95 and P < 0.01. Unit stream power was a good predictor of T-c for different slope gradients with NSE that ranged from 0.95 to 0.99. The unit stream power predicted T-c better when the slope gradient was above 26.79%. Unit stream power was more satisfied than shear stress for predicting T-c under different slope gradients. The unit stream power-based LISEM, which was multiplied by 0.62 (i.e., the correction coefficient), predicted well the sediment transport capacity of the rill flow in our experiment, where NSE = 0.93. The shear stress-based Zhang model, which was multiplied by the correction coefficient of 0.77, adequately predicted the sediment transport capacity of rill flow in our experiment, where NSE = 0.81. By performing the controlled rill flume experiments, this study showed that shear stress and unit stream power strongly influenced T-c for certain slope gradients under non-erodible conditions.

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