FLOODWALL : A REAL TIME FLASH FLOOD MONITORING AND FORECASTING BY USING IOT (KEY IJP************621)

• Sarvepalli Neelima ,G. Sree Ramya,A. Bala Sai,C. Kalyan Kumar

Abstract

: An Arduino Uno microcontroller processes the sensor data and displays real-time values on an LCD; in the event of abnormal conditions, a buzzer activates and an alert message is sent via a GSM module; the collected data is uploaded to the ThingSpeak cloud platform using a NodeMCU module for further analysis and monitoring; and the project, FLOODWALL: A Real-Time Flash Flood Monitoring and Forecasting System Using IoT, is designed to detect and monitor flood-related parameters using multiple sensors: a raindrop sensor detects the presence of rainfall, an ultrasonic sensor measures the water level, a water flow sensor tracks water movement, and a DHT11 sensor records environmental temperature and humidity.: In order to improve flood detection and forecasting, FLOODWALL is an Internet of Things (IoT)-based real-time flash flood monitoring prototype that incorporates sensors to track temperature, humidity, water flow, rainfall, and water levels. An Arduino Uno processes the data and displays it on an LCD in abnormal circumstances. A buzzer sounds in unusual circumstances, and GSM is used to send out alerts. Floodwall is a cutting-edge, real-time flash flood monitoring and forecasting system that harnesses the power of Internet of Things (IoT) technology to provide early warnings and critical insights, mitigating the devastating impacts of flash floods on communities, infrastructure, and the environment, by deploying a network of IoT sensors and devices to monitor water levels, rainfall, and other environmental factors, analyzing data using advanced algorithms and machine learning techniques to predict flash flood events with high accuracy.Floodwall is a cutting-edge, real-time flash flood monitoring and forecasting system leveraging IoT technology to provide early warnings and critical insights, mitigating devastating impacts on communities, infrastructure, and environment, by deploying IoT sensors and devices to monitor water levels, rainfall, and environmental factors, analyzing data using advanced algorithms and machine learning techniques to predict flash flood events with high accuracy, enabling timely alerts and notifications to authorities, emergency services, and affected communities, improving public safety, enhancing decision-making, reducing economic losses, and promoting resilience, utilizing a scalable, flexible, and reliable IoT-based architecture, integrating data from various sources, including weather forecasts, hydrological data, and sensor readings, to provide a comprehensive view of flood risk, supporting proactive measures to prevent or minimize flood damage, and ensuring effective emergency response and recovery efforts, ultimately saving lives, reducing damage, and promoting sustainable development, through a collaborative approach, involving stakeholders from various sectors, including government, emergency services, and local communities, Floodwall aims to become a vital tool for flood risk management, enhancing the ability to anticipate, prepare for, and respond to flash flood events, and creating a safer, more resilient future for all.