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@article{169921,
        author = {Vaishnavi Nitin Patil and Kalyani Prakash Patil and Dnyaneshwari Vijay Nikam and Bhavesh Yogesh Patil and Dr. Ram Kumar Solanki},
        title = {IOT Based Flood Detection & Waterfall Monitoring System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2819-2823},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169921},
        abstract = {Floods are a major natural disaster that can cause severe damage to life, property, and the environment. Rapid and effective monitoring of water levels in flood-prone areas and waterfalls is crucial for timely alerts and preventive measures. This project presents an IoT-based Flood Detection and Waterfall Monitoring System that leverages real-time data collection and processing to monitor water levels, detect flood risks, and ensure safety around waterfalls.
The system comprises a network of water-level sensors and IoT devices strategically placed near rivers, flood-prone regions, and waterfalls. These sensors collect real-time data on water levels, flow rates, and other environmental factors, which is then transmitted to a central server via IoT communication protocols such as MQTT or HTTP. The data is processed and analyzed using threshold-based algorithms to detect unusual water level changes. When critical thresholds are breached, the system automatically triggers alerts through notifications to relevant authorities, mobile applications, or public alarm systems, ensuring quick response actions.
Additionally, a web-based or mobile interface provides real-time monitoring for users, including historical data for pattern analysis and prediction of flood trends. This IoT-driven approach enhances early flood detection capabilities, reduces disaster response times, and ensures better public safety around waterfalls. The project aims to provide an efficient, scalable, and cost-effective solution for flood and waterfall monitoring, with potential applications in various regions worldwide.},
        keywords = {},
        month = {November},
        }