Flood Forecasting by Using Machine Learning

Abstract

Flood is large amount of water passing an overflow on a land. Flood forecast (FF) system issue a warning corresponding to water level or discharges through hydraulic structures. Flood forecast (FF) increase the capability and advancement in hydrology to mitigate the hazards using machine leanings with ANN. Flood forecasting using machine learning algorithm (MLA) method understand to learn and improve system scale to mitigate flood hazards according to the climate change. This research is carrying out for flood forecasting on Upper Wardha project across Wardha river basin. Flood forecasting (FF) using real time estimation gives chances of flood value and by using the forecasted inflow, rate of inflow in reservoir can decide the time of operation i.e. opening and closing of gate in real time with ANN.