Flood Detection and Warning for Water Bodies

Authors- Associate Professor Mr. Sanjay Balamwar, Assistant Professor Mr. Purushottam Chawke, Assistant Professor Ms. Prajakta Upadhye, Mr. Ayush Dongre, Mr. Pranay Wardhekar, Mr. Sahil Wankar, Mr. Saurabh Wankhede, Mr. Yash Tidke

Abstract-– Floods pose a significant threat to human life, infrastructure, and ecosystems, particularly in regions surrounding major water bodies such as rivers, lakes, and reservoirs. This study focuses on the development and implementation of a flood detection and early warning system tailored for water bodies. The system integrates real-time data collection using sensors (e.g., Water Level, Rainfall and Flow Rate Sensors), Satellite Imagery and weather forecasts with machine learning models to predict potential flood events. By leveraging IoT and cloud-based platforms, the system ensures timely data processing and dissemination of alerts to relevant authorities and at-risk communities. The proposed approach aims to minimize the impact of floods by enabling proactive response strategies, improving disaster preparedness, and enhancing resilience in vulnerable regions.

DOI: /10.61463/ijset.vol.13.issue2.363