Multidisciplinary and Interdisciplinary (M)
Session Sub-category General Geosciences, Information Geosciences & Simulations(GI)
Session ID M-GI30
Title Global high-altitude mountains and volcanoes as collaboratory for studying environments and hazards
Short Title Extreme environment and volcanic hazard
Main Convener Name Kazuyoshi Nanjo
Affiliation University of Shizuoka
Co-Convener 1 Name Masashi Kamogawa
Affiliation Global Center for Asian and Regional Research, University of Shizuoka
Co-Convener 2 Name Mitsuhiro Yoshimoto
Affiliation Mount Fuji Research Institute, Yamanashi Prefectural Government
Co-Convener 3 Name John B Rundle
Affiliation University of California Davis
Session Language
E
Scope
Mt. Fuji, Japan's highest peak and an active volcano, serves multiple scientific roles: monitoring air pollution, hosting cosmic-ray and lightning observations, supporting high-altitude medicine and training, and providing a natural laboratory for studies in extreme and alpine environments. Its societal importance is equally urgent. Located near Tokyo and other populated regions, an eruption would cause social and economic impacts. Assessing hazards such as ash, lava flows, pyroclastic flows, volcanic gas, and lahars is vital for disaster preparedness, while monitoring data aid evacuation and infrastructure protection. Similar opportunities and challenges exist at other high-altitude mountains and active volcanoes worldwide. We therefore propose viewing them collectively as a virtual, distributed laboratory-a "collaboratory," in the sense of a center without walls where researchers collaborate and share resources and data regardless of geography. This session invites contributions on extreme and alpine environments and volcanic hazards, aiming to share insights and build an international collaboratory.
Presentation Format Oral and Poster presentation
Invited Authors Brenton Hirao (University of California, Davis)
Thystere Matondo Bantidi (Association for the Development of Earthquake Prediction)
Cyril Remy Jacques Journeau (University of California, Davis)
Presentation No Title Presenter
Poster Presentation May 27 PM3
MGI30-P01 Towards a Near-Real-Time 'Volcano Traffic Light Alert System (VTLAS)': Retrospective Case Studies Based on Seismicity and b-value Time Series Analysis Thystere Matondo Bantidi
MGI30-P02 High-precision hypocenter relocation of deep low-frequency earthquakes beneath Mt. Fuji: implications for volcanic monitoring Takuma Ikegaya
MGI30-P03 InSAR Volcanology Using Convolutional Neural Networks Jean Donet
MGI30-P04 Magmatic Volatile Flux Drives Non-Eruptive Volcano-Tectonic Seismicity at Mount St. Helens, USA From 2008–2024 Brenton Wayne Hirao
MGI30-P05 Reports on the Seismic Observations of Recent Slush Flows at Mt. Fuji Kazuya Yamakawa
MGI30-P06 Toward Comprehensive Catalogs of Volcanic Seismicity: Insights from Template-Matching, Machine Learning and Network Coherence at Mount Saint Helens Volcano Cyril Journeau
MGI30-P07 Enhancing Gravity Measurement Accuracy Using the Large Elevation Range of Mount Fuji Ryo Honda
MGI30-P08 Toward a high-altitude "collaboratory" for hazards and environmental monitoring: integrated observations of seismicity, landslides, and springs in the Southern Alps, northern Shizuoka, Japan Kazuyoshi Nanjo