Desenvolvimento de um aplicativo móvel para monitoramento e alerta de enchentes em Malhada/Ba

Abstract

This study presents the development of a mobile application for flood monitoring and alerts in Malhada, Bahia, a city located on the banks of the São Francisco River that frequently faces flooding, aiming to mitigate impacts and enhance Community resilience. The objectives were to create a system that monitors the river level in real time, issues alerts classified by severity (yellow, orange, and red) based on water height, integrates climate data to provide weather forecasts, and offers an educational platform for environmental awareness. The methodology involved the use of ultrasonic sensors connected to ESP32 boards to continuously measure the São Francisco River’s level, complemented by the collection of climate data via the OpenWeatherMap API, covering cities such as Malhada, Delfinópolis, Manga, Januária, Pirapora, Três Marias, and São Francisco, to inform about meteorological conditions, including temperature, rainfall volume, and humidity. The backend, developed with NestJS, processed and stored river level data, generating alerts sent via push notifications when the water height reached critical thresholds, while the application, built with React Native, provided an intuitive interface for accessing monitoring information, weather forecasts, and educational content. Tests in a controlled environment demonstrated the sensors’ accuracy in measuring the river level, the reliability of the issued alerts, and the functionality of climate data integration for informational purposes, with an interface that facilitates public use. The educational platform also proved effective, promoting engagement in preventive practices. The developed system is a robust and scalable technological solution, highlighting the importance of integrating real-time monitoring, technology, and education in flood risk management. In addition to meeting Malhada’s specific needs, the model shows potential for replication in other vulnerable riverside regions, contributing to safer communities in the face of climate challenges. This work underscores the value of accessible and innovative solutions in reducing the socio-environmental impacts caused by floods.