Correlation Analysis on Affecting Factors of Bankfull Discharge of the Lower Yellow River

The paper selects and classifies lots of affecting factors that influence the bankfull discharge of the lower Yellow River,builds BP model of each affecting factor and bankfull discharge by using the method of artificial neural network.The outcomes show that a) it should consider the affecting factor of coming water and sediment during flood season and non-flood season,accumulated affecting factor of antecedent sediment discharge condition and other factors when calculates bankfull discharge;b) it should add the affecting factors of peak discharge and median diameter while considering the sediment discharge condition in flood season and non-flood season and the affecting factor of bankfull discharge after flood season of the previous year.Therefore,the calculated bankfull discharge is more in line with the observed value.