@prmceam.ac.in
Assistant Professor Civil Engineering
Prof Ram Meghe College of Engineering & Management
Hydraulics and Water Resources Engineering, GIS
Scopus Publications
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Amitkumar Baburao Ranit and P. V. Durge
IEEE
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.
Amitkumar Ranit and P. V. Durge
Springer International Publishing
Amitkumar B. Ranit and P.V. Durge
IEEE
Flood forecasting (FF) is one of the most important, challenging problems in hydrology. The purpose of flood forecasting and warning is acknowledged as the most important non-structural term for reducing flood damage. A flood forecast system must provide sufficient lead time for communities to respond. Reliability of forecast is to provide as much advance notice as possible of an impending flood to the authorities and the general public. A forecast has increased in the modeling capabilities of hydrology and advancements in knowledge for analysis as well as improvements in data collection through satellite observations. This paper reviews different aspects of flood forecasting, including the models being used, techniques of collecting inputs and displaying their results, and warnings.
Scopus ID= 57204806968,