IoT Enabled Flood Prediction System Using Rain and Water Sensors

Floods are among the most damaging natural disasters, resulting in significant loss of life, destruction of infrastructure, and economic losses.Although floods cannot be prevented, their impact can be reduced through early monitoring and timely warnings.This study presents an Internet of Things (IoT)-enabled flood monitoring and alert mechanism designed to continuously observe environmental conditions and notify users of potential flood risks.The proposed system utilizes an NodeMCU ESP8266 microcontroller interfaced with multiple sensors to measure environmental parameters.An ultrasonic sensor monitored variations in the water level, and a rain sensor detected precipitation intensity.Additionally, a DHT11 sensor was used to measure the atmospheric temperature and humidity to analyze weather trends.The sensed data were transmitted through Wi-Fi to the Blynk cloud platform, where they were visualized and stored.Whenever the readings exceed the predefined safety limits, warning notifications are sent to users through a mobile application and email alerts, and a buzzer provides immediate local indication.A 16×2 LCD panel displayed real-time values for the field operators.The device is portable, low-cost, and suitable for installation near rivers, drainage systems, reservoirs, and urban flood-prone zones.The integration of sensing, wireless communication, and cloud monitoring improves preparedness and helps minimize potential losses.