Design and Implementation of an Advanced Glacier Lake Outburst Flood Early Warning System (GLOF EWS) Using LoRa IoT devices

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Authors

Geetha Priya M , Raghavendra K R, Krishna Venkatesh

Abstract

This paper describes the creation and deployment of a Disaster Early Warning System (DEWS) designed to detect Glacial Lake Outburst Floods (GLOFs). This system is a Comprehensive Integrated dIsaster pRevention Configuration (CIIRC)that has been built to withstand sub-zero temperatures and harsh weather conditions while displaying durability and resilience. GLOFs pose a significant risk to communities living near glacial lakes, necessitating the use of advanced monitoring equipment. The proposed system may transfer crucial data in real time from remote glacier lake monitoring stations to a central hub via radio frequency/ long-range communication, or satellite communication technology. Key properties such as lake water level, temperature, hydro pressure, and seismic activity are continuously recorded and transmitted from remote areas to a central monitoring station (CMS). The CMS examines incoming data using risk assessment algorithms (thresholds), which provide warnings and notifications as soon as potential GLOF issues are detected. The integration of this DEWS with local emergency response plans allows for more prompt and informed decision-making, which helps to mitigate GLOF-related tragedies. This comprehensive system intends to improve community resilience by delivering early warnings and facilitating proactive reaction measures.

DOI

https://doi.org/10.31223/X5DD89

Subjects

Environmental Engineering, Geotechnical Engineering, Systems and Communications

Keywords

GLOF, EWS, Disaster, Pressure sensor, LoRa, EWS, disaster, Pressure sensor, LoRa

Dates

Published: 2024-11-25 05:02

Last Updated: 2024-11-25 10:02

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None