Experimental study on model of sediment transport capacity of slope runoff based on GRNN
JIAO Feng, TAO Wen-Yi, YAN Jun, XIAO Pei-Jing, SHEN Shen-Zhou, YANG Chun-Xia
1.North China Institute of Water Conservancy and Hydropower, 450011, Zhengzhou; 2.Yellow River Institute of Hydraulic Research, 450003, Zhengzhou: China
Abstract：Sediment transport capacity of slope runoff is an important hydrodynamic parameter in establishing model of soil erosion process, it is of theoretical and practical significance to study the model calculating sediment transport capacity quantitatively. By means of indoor simulated runoff-scouring experiments, sediment transport capacity of slope runoff under different slop and flow conditions was calculated. The impact factors of sediment transport capacity of slope runoff were analyzed by using method of Mean Impact Value. Generalized Regression Neural Network (GRNN) model was established, in which input variables include dry bulk density, slope, Inlet flow, outlet flow, hydraulic radius and flow rate, output variable is sediment transport capacity of slope runoff. Additionally the model was optimized by Adaboost algorithm. The validation results showed that the GRNN model was feasible to predict sediment transport capacity of slope runoff. Under conditions of experimental training samples, GRNN model performed better than BP Neural network model, and Adaboost algorithm could effectively reduce error in the prediction of GRNN model.
焦鹏1， 姚文艺2， 严军1, 肖培青2， 申震洲2， 杨春霞2. 基于GRNN的坡面径流输沙能力模型的试验研究[J]. 中国水土保持科学, 2012, 10(1): 25-31.
JIAO Feng, TAO Wen-Yi, YAN Jun, XIAO Pei-Jing, SHEN Shen-Zhou, YANG Chun-Xia. Experimental study on model of sediment transport capacity of slope runoff based on GRNN. SSWCC, 2012, 10(1): 25-31.
2012, Vol. 10 
