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@article{196390,
        author = {KAVIYAA. A and ELAVARASI .R and KRISHNA VENI.K and MADHORUBAGAN.E},
        title = {DEVELOPMENT OF AN INTELLIGENT IOT-BASED DAM AND RIVER WATER LEVEL MONITORING SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3740-3747},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196390},
        abstract = {Dams and river water management systems are important for flood protection and efficient water resource management. However, traditional methods rely on manual observations, resulting in delays, human error, and lack of timely warnings, increasing the risk of flooding and damage. To address these issues, this project proposes an intelligent IoT-based system for monitoring and warning water levels in dams and rivers. The system continuously monitors water level, water quality, and structural health using sensors such as ultrasound, turbidity, MEMS, impact sensors, and temperature sensors. Data is processed using Arduino and NodeMCU, and alerts are generated via LCD, GSM, and buzzer when abnormal conditions are detected. The system increases accuracy, enables real-time monitoring, reduces manual effort, and improves disaster prevention.},
        keywords = {IoT-Based Monitoring, Flood Prevention, Wireless Communication, Arduino, Smart Water Management.},
        month = {April},
        }