Prediction of Flow in Compound Open Channel Flows Using Artificial Neural Network

Abstract

Accurate prediction of discharge in compound open channel is extremely essential for river engineering point of view. As this provide essential information regarding flood mitigation, construction of hydraulic structures and for prediction of sediment load. Most natural Rivers and streams consist of two stage channel i.e. main channel and flood plains. Earlier discharge determination model are studied to develop the models. Methods like COHM,SCM, DCM, and other models which is widely used. Here an effort has been made to predict the total discharge in compound channel with the comparison of above models with ANN based FFBP model. The model provides slightly better results then COHM, DCM but provides more accepted results then SCM