Thread: EGU23 | SM6.4/GMPV9 Challenges in seismology to understanding volcanic islands and their magmatic unrest

Started: 2022-11-27 15:43:38
Last activity: 2022-11-27 15:43:38
Topics: EGU Meetings
We would like to draw your attention to our session SM6.4/GMPV9 at the 2023 EGU General Assembly in Vienna, Austria on: "Challenges in seismology to understanding volcanic islands and their magmatic unrest”
https://meetingorganizer.copernicus.org/EGU23/session/47081
Convener: João Fontiela https://meetingorganizer.copernicus.org/EGU23/session/47081# | Co-conveners: Graça Silveira, Ricardo Ramalho, Joana Carvalho, Adriano Pimentel

Important Dates:
Apply for financial support https://egu23.eu/guidelines/supports_and_waivers.html by submitting your abstract by 1 December 2022, 13:00 CET
Abstract submission deadline: 10 January 2023, 13:00 CET
Meeting: 23-28 April 2023

Session description:
The scientific community faces several challenges in studying volcanic islands, particularly regarding the monitoring of a plethora of processes taking place at depth. There is still a need to densify seismic networks in volcanic islands, using a combination of land-based and ocean-bottom seismometers, to record the signals associated with volcanic and tectonic processes, and automatically or manually detect and classify those signals. 3D images from the shallow crust to the deep mantle are crucial to unravelling the geodynamic processes behind the generation of volcanism. More accurate quantification of temporal changes in the volcanic systems will help in the forecasting of potential eruptions and the monitoring of ongoing ones. On top of that, the presence of geothermal systems and induced seismicity from industrial exploration are also critical challenges in volcanic islands due to the system's complexity.

Considering the enormous diversity of interactions in volcanic islands, occurring from the crust to the deep mantle, this Research Topic aims to gather a wide range of seismic studies in volcanic islands including, but not limited to:

- volcanic monitoring and tracking of magma movement;
- machine learning detection and classification of volcanic earthquakes;
- characterization and location of volcanic tremor;
- 3D and 4D seismic imaging, including attenuation tomography;
- monitoring using seismic ambient noise;
- temporal variations in fast shear-wave polarization;
- active and passive source studies to characterize flank instability and landslides;
-induced and triggered seismicity in geothermal systems.


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