Developing a compact and mobile observation package for real-time monitoring in a remote island: application in Gaua island, Vanuatu
Ayuta Tsuge1, Ayumu Ishikawa1, Kazuya Yamakawa2, Janvion Cevuard3, Sandrine Cevuard3, Ricardo William3, Athanase Worwor3, John Jr. Niroa3, Fukashi Maeno1, Mie Ichihara1
Affiliations: 1Earthquake Research Institute, The University of Tokyo, Tokyo, Japan; 2Mount Fuji Volcanic Disaster Center, Research Institute, Yamanashi Prefectural Government, Yamanashi, Japan; 3Vanuatu Meteorology and Geohazards Department, Port Vila, Vanuatu
Presentation type: Poster
Presentation time: Thursday 16:30 - 18:30, Room Poster Hall
Poster Board Number: 168
Programme No: 2.2.32
Abstract
Installing a permanent monitoring network is difficult in some volcanoes, especially those in remote islands. The lack of monitoring capability would prevent scientists and authorities from rapidly and accurately evaluating volcanic activity and transferring information to the public during a crisis. It also increases the risk of working at the volcanoes. To improve these situations, we are developing a quasi-real-time seismic observation package that is easy to install. The package consists of commercially available instruments: a digitizer (Minimus+, Güralp), a short-period seismometer, a mobile router, and LIPO batteries. We can access the data stored in the SD card on the digitizer through the Güralp server using "Güralp Discovery" software from everywhere. We implemented the quasi-real-time monitoring system with a Python script, which automatically downloads the data via HTTP and uploads seismograph drums to a website for monitoring. We installed the package in one and a half hours of onsite work in Gaua Island, Vanuatu, and tested it for October 5--9, 2024, when a geological survey was conducted. No other monitoring stations had been working there. The system used the Digicel line and was operated from Port Vila, Vanuatu, and Tokyo, Japan. The monitoring website was also accessible from the survey team in Gaua. Although we lost the data flow on the second day, we kept monitoring the digitizer's condition remotely, from which we infer that the malfunction was due to overheating. The seismic time series data were successfully recorded on the SD card throughout the experiment.