Flash flood risk management modeling in indian cities using IoT based reinforcement learning

Abstract

Each year, flash floods in India have affected life, infrastructure and the economy of the country and there is a need for a systemic model of real-time flash flood management. So, to mitigate these losses, we proposed a flash flood management model focused on reinforcement learning. Based on their severity, the flash flood data is collected and rewards are distributed and this data is compared to the data collected from smart IoT devices deployed in the region impacted by the flood. We allocate the state-based reward values once the comparison is completed. The evacuation of flash flood water through the contour of the flash flood is carried out. This bypass has gates at different points that mean that, depending on the incentives, the gates are opened to remove flash flood water. The proposed solution was evaluated to be a faster, more effective and more accurate real-time flash flood management method.