GMPV9.1 | Volcano monitoring and volcano hazards forecasting: Where we are and what we need
Volcano monitoring and volcano hazards forecasting: Where we are and what we need
Co-sponsored by AGU
Convener: Chiara Maria Petrone | Co-conveners: Claudia CorradinoECSECS, Daniele Andronico, Matthew Pankhurst, Ciro Del Negro, Michael Ramsey, Vito ZagoECSECS
Orals
| Fri, 19 Apr, 08:30–10:15 (CEST)
 
Room D2
Posters on site
| Attendance Thu, 18 Apr, 16:15–18:00 (CEST) | Display Thu, 18 Apr, 14:00–18:00
 
Hall X1
Orals |
Fri, 08:30
Posters on site
Thu, 16:15
Monitoring active and quiescent volcanoes is the pillar for successful hazard assessment and risk mitigation. Traditional surficial and aerial monitoring is increasingly associated with petrology and novel techniques such as muography, new generation of remote sensing, unoccupied aircraft systems, continuous gas monitoring, satellite observations, and the tremendous advances in computing power, leading to an increased use of data-driven approaches, including artificial intelligence (AI) techniques. Machine learning, is gaining importance in volcanology, not only for automatic processing of large datasets (i.e., monitoring purposes) but also for later hazards analysis (e.g., modelling tools). Equally important is to establish the volcano eruptive history and probabilistic eruption forecasting modelling. However, many volcano observatories lack economic resources to deploy many of the current techniques and thus acquire additional monitoring data for a more effective volcano surveillance. Development of low-cost monitoring equipment and higher-throughput methods are under way which promise to address this economic barrier to science and hazard mitigation.
In this session, we welcome contributions of any aspect of the broad field of volcano monitoring from traditional to novel techniques and the new frontiers in the field blending machine-learning, data-driven approaches, and physics-based simulations. Inter- and multidisciplinary approach and best practices in hazard assessment and risk mitigation are particularly welcome.

Orals: Fri, 19 Apr | Room D2

Chairpersons: Chiara Maria Petrone, Claudia Corradino, Daniele Andronico
08:30–08:35
5-minute convener introduction
EGU24-12847
|
On-site presentation
Developing Earth Observation strategies for Global Volcano Monitoring (G-VEWERS)
Susanna Ebmeier et al.
EGU24-20991
|
ECS
|
On-site presentation
Measuring the full strain tensor using a low-cost optical borehole strainmeter
Martin Foin et al.
EGU24-8083
|
solicited
|
Highlight
|
On-site presentation
Forty years of geochemical data  at Campi Flegrei hydrothermal system
Giovanni Chiodini et al.

Posters on site: Thu, 18 Apr, 16:15–18:00 | Hall X1

Display time: Thu, 18 Apr 14:00–Thu, 18 Apr 18:00
Chairpersons: Ciro Del Negro, Michael Ramsey, Vito Zago
EGU24-563
|
ECS
|
On-site presentation
Generalizability of AI-based Emulators for CFD Lagrangian methods 
Eleonora Amato et al.
EGU24-1030
|
ECS
|
On-site presentation
A Remote Sensing Data Fusion algorithm for Near Real time monitoring of Volcanic Radiative Power
Giovanni Salvatore Di Bella et al.
EGU24-5284
|
ECS
|
On-site presentation
Thermal remote sensing of lava lakes: a comparison of approaches
Sofie Rolain et al.
EGU24-19259
|
On-site presentation
Unveiling magma dynamics behind geochemical data
Alessandro La Spina et al.
EGU24-19253
|
On-site presentation
Vulcano International training Summer School of Geochemistry 
Giovannella Pecoraino et al.
EGU24-21214
|
On-site presentation
Detecting volcanic lightning with different methods: a comparison
Matthias Hort et al.