Urban Draining: Flood Monitoring and Alerting System Using Deep Learning and IOT

Abstract: Among the most frequent and costliest natural disasters to impact humanity. Therefore, the most effective partial solutions for reducing flood damage and loss are systems for flood forecasting and warning. For a sufficiently lengthy initial time, a reliable flood forecast and warning system is necessary. The goal of the a forementioned project is to establish guidelines for giving enough lead-time warnings of flash floods in urban streams based on rainfall. It also proposes a technique for analysing a tsunami forecasting and warning system. The findings of our study will be applied to modelling for flood disaster forecasts in the future as well as flood control.

Keywords: flash flood, flood forecasting, urban streams, observing system.