GLOF Monitoring System in High Mountain: Evaluation of Latency Data Transmission and Precipitation Influence Trough IoT Satellite Network

Alvarado-Lugo R.A.; Lujan-Leon J.P.; Aguilar-Bueno J.; Silva G.; De La Torre J.; Obando L.T. · C3 2025 - IEEE Colombian Caribbean Conference (2025) · DOI: 10.1109/c366505.2025.11340060

Resumen

Glacier Lake Outburst Floods (GLOFs) pose significant risks in high-mountain regions, particularly for rural populations. However, the performance of real-time GLOF monitoring systems under varying meteorological conditions remains poorly understood. This study presents the development and evaluation of an IoT-satellite-based monitoring system designed for GLOF detection, with a specific focus on analyzing the impact of rainfall on data transmission latency. The system integrates rainfall and water level sensors, a CR1000X datalogger, and an ST6100 satellite transceiver, enabling automated data collection and transmission to the IsatData Pro web service. Preliminary results show that rainfall did not significantly affect latency (Spearman's ρ=0.007). In addition, the average latency was 22.9 seconds, with 95% of transmissions completed within 33 seconds, establishing a potential performance benchmark for similar systems. These findings support the refinement of real-time GLOF early warning systems.

Instituciones: Pontificia Universidad Católica del Perú; Universidad de Lima