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《Journal of Sediment Research》 2010-03
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Application of the method of artificial neural network in calculating bankfull discharge in the Lower Yellow River

LI Wen-wen~1,WU Bao-sheng~(2),XIA Jun-qiang~2,SHAO Jing-li~1(1.China University of Geosciences,Beijing 100083,China;2.State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing 100084,China)  
The bankfull discharge is an important indicator for the flood discharging capacity in the Lower Yellow River.It is a task to accurately predict bankfull discharges at key sections before each experiment of regulating water and sediment in the Yellow River.In this paper,the observed hydrological data from 1960 to 2007 in the Lower Yellow River were used to establish the relationships between flow discharge,incoming sediment coefficient and bankfull discharge at four hydrometric sections by using the artificial neural network.Model predictions of different input factors show that the model with the consideration of flow discharges and incoming sediment coefficients during flood and nonflood seasons can obtain relatively higher calculation accuracy.The artificial neural network method(ANN) has the advantage that all related factors can be fully accounted for in the model and it can be used to simulate the dynamic process of bankfull discharge.
【Fund】: 中荷战略科学联盟计划项目(2008DFB90240)资助
【CateGory Index】: TP183;TV14
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