Experimental Study on Sediment Transport Capacity Model of Slope Runoff Based on ANN

Abstract

Sediment transport capacity of slope runoff is an important hydrodynamic parameter in the establishment of soil erosion prediction model. According to simulated runoff-scouring experiments, sediment transport capacity of slope runoff under different conditions is calculated. The impact factors of sediment transport capacity of slope runoff were analyzed by the method of Mean Impact Value, and then the input variables including dry bulk density, slope, Inlet flow, outlet flow, hydraulic radius, flow rate were determined. GRNN model was established and optimized by Adaboost algorithm to forecast Sediment transport capacity of slope runoff. The validation results showed that the GRNN model was applied to Sediment transport capacity forecasting of slope runoff. In conditions of experimental training samples, GRNN model had better computed results compared to BP Neural network model, and Adaboost algorithm could effectively decrease error of GRNN model.