Flood Prevention System Using IoT

Floods are one of the most severe natural disasters in Malaysia, occurring frequently in recent years and causing significant socio-economic and environmental impacts. These recurring disasters lead to huge losses and prolonged recovery period. Flood management involves four phases: prevention, preparedness, response, and recovery. However, existing flood management systems primarily focus on preparedness, response, and recovery, often neglecting preventive measures, especially in river basin which serve as the primary channels for water flow. The lack of emphasis on the prevention phase has resulted in frequent flood occurrences, economic losses, loss of lives, and extensive environmental damage. To address this gap, this study proposes an IoT-based Flood Prevention System specifically designed for river basin management to mitigate flood risks. The system effectively regulates and maintains river water flow and quality, with the integration of Internet of Things (IoT) and Automated Water Turbines. By using real-time data collection from IoT sensors with historical flood data, the system can autonomously take appropriate actions to regulate and maintain the water flow and water level in river basin. These proactive measures allow for better water discharge to the sea, even during periods of heavy rainfall. The implementation of this system contributes to sustainable flood mitigation strategies with advanced technologies enhancing disaster management capabilities.