Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{188552,
        author = {Nitin Sai Chandra K and B Vishnu Sai and Jitendra Sainath and T Balasubramaniyam and Sarvar Begum},
        title = {Early Warning System For Glacial Lake Outburst Floods (GLOF’s)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2443-2449},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188552},
        abstract = {This project presents the design and implementation of a low-cost, IoT-based Early Warning System for Glacial Lake Outburst Floods (GLOFs) using the NodeMCU (ESP8266) microcontroller. The system integrates multiple environmental sensors including an ultrasonic sensor for water level measurement, an accelerometer for detecting seismic activity, a temperature sensor for monitoring glacial melt conditions, and a GPS module for real-time location tracking. Sensor data is processed on the NodeMCU and transmitted via Wi-Fi to a cloud-based dashboard using the Blynk platform, where it can be monitored remotely. When threshold conditions indicating a potential GLOF are detected, the system generates alerts to notify authorities or communities in real-time. The solution is designed to be deployed in remote, high-altitude regions using solar power, offering a scalable and energy-efficient approach to disaster risk reduction and environmental monitoring.},
        keywords = {GLOF, IoT, ESP8266, Early Warning System, Blynk, Embedded Systems},
        month = {December},
        }