Published January 1, 2024
| Version v1
Conference paper
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AN ADAPTIVE VOLCANIC ERUPTION DETECTOR TO AUTOMATE PYROCLASTIC FLOW MONITORING
Creators
- 1. UCL, Dept Elect & Elect Engn, London, England
- 2. Univ Durham, Dept Earth Sci, Durham, England
- 3. Univ Liverpool, Dept Earth Ocean & Ecol Sci, Liverpool, Merseyside, England
Description
A power-efficient, adaptive and IoT-based volcanic eruption detector is realised to provide a robust trigger mechanism for a custom-built radar for pyroclastic flow monitoring. The design, simulation and testing of the detector, and its performance measured at Volcano Santiaguito in Guatemala over a three-month deployment are described in detail. The proposed detector controls the radar system and enables a fully automated remote sensing operation with a power consumption of 0.5 W. Typically, around 70% detection accuracy is obtained with almost no false detections and up to 80% less power consumption compared to continual capturing.
Files
bib-90451a80-7986-4fb6-a9b9-d149a0dd56b1.txt
Files
(253 Bytes)
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