BP Model Applied to Forecast the Water and Sediment Fluzes in Lijin Section
The fundamental of neural network and its application are introduced firstly. Then the main factors which affect the runoff and the sediment transport volume in the problems of the water and sediment fluxes in the Yellow River Mouth during the flood and non flood period are analyzed. Furthermore, the BP model is set up by using the program in the toolbox of the neural network under the environment of MATLAB. The data of the water-sand transportation in the period of 1963-1990 in the Lower Yellow River (LYR), which were not influenced greatly by human beings activities and the basic data of Lijin section, e. g., the runoff, water level, the sediment transport volume and the bed form modulus, are sufficient enough and can be used to establish the neural network to predict the runoff and sediment transport volume of Lijin section in 1991.Finally the runoff and the sediment transport volume in linjin section are forecasted and the forecasting errors are analyzed. During the flood period in 1991, the relative forecast error of runoff and the sediment transport volume are 0.03% and 4. 5% respectively, while during the non-flood period, the relative forecast error of runoff and the sediment transport volume are 0.05% and 4. 73% respectively.
artificial neural network BP model the Yellow River Mouth the water and sediment fluzes forecast
Yan Jun Liu Yanfang Wang Jun Zhao Haibin
North China University of Water Conservancy and Electric Power, Zhengzhou, 450011, China Zhengzhou Water Conservancy School, Zhengzhou, 450008, China Yellow River Conservancy Technical Institute, Kaifeng, 475001, China
国际会议
郑州
英文
1784-1789
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）