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The primary objective of this project is to create a reliable system for ongoing water level monitoring in dams or Wadis, ensuring timely alerts are sent to nearby residents and the Royal Oman Police (ROP) when levels approach hazardous thresholds. Although preventing floods may not always be feasible, implementing an early detection and alert system through continuous monitoring can significantly reduce the impact on communities. This initiative introduces an Internet of Things (IoT)-enabled flood detection and warning system, utilizing a NodeMCU board, an ultrasonic sensor (HC-SR04), temperature and humidity sensors (DHT11), and the Blynk app. The system diligently tracks water levels, transmitting sensor data to the Blynk Server at regular intervals, allowing for global access and oversight. Should water levels exceed predetermined safe limits, an immediate notification is dispatched via email to designated contacts, warning individuals in the vicinity of the dam or Wadi and the ROP of the potential danger.
Muthusamy et al. (Sat,) studied this question.