Assessment and Estimation of Flood Discharge using ANN for Pune District

Assessment and Estimation of Flood Discharge for given return period is utmost important for planning and Design of Hydraulic Structures in the project site. But as it involves various parameters such as temperature, relative humidity, rate of evaporation, discharge, precipitation, topographical usage etc. which are highly unsteady, thus making it one of the most difficult task to have an accurate predictability. Through Artificial Neural Network, we have estimated flood discharge of next day. We used 3 set of input data viz. rain gauge, temperature and discharge for Phulgaon area (Pune District) Maharashtra. Through black box technique, all the input variables will be given set of weights and bias, and after training of those data sets, various network architecture would be created and among them best one would be selected comprising of lowest possible errors and best predicted output. These evaluations would be based on RMSE (Root Mean Square Error) and Hydrograph analysis, thus making it effective for pre or post management of disaster as well.