Dear Colleague,
We would like to draw your attention to a novel session proposed
at the upcoming EGU 2026 (3-8 May 2026, Vienna,
Austria & Online):
SM3.5:
Deciphering Seismic Processes through Dense Multidisciplinary
Infrastructures.
Conveners:
Francesco Scotto di Uccio (Università di Napoli Federico II)
Panagiotis Elias (National Observatory of Athens)
Mariangela Guidarelli (National Institute of Oceanography and
Applied Geophysics – OGS)
Dario Jozinović (ETH Zurich)
Monica Sugan (National Institute of Oceanography and Applied
Geophysics – OGS)
https://meetingorganizer.copernicus.org/EGU26/session/55736
The session addresses how advancements in near-fault
observatories and dense multidisciplinary infrastructures enhance
our understanding of fault processes and induced seismicity.
Contributions on earthquake and fault zone characterization,
integration of seismic, GNSS, DAS, borehole, and geochemical, as
well as Earth Observation data, ranging from monitoring to
advanced processing techniques, are welcome.
The abstract submission deadline is 15 January 2026, 13:00 CET.
Please, feel free to forward this information to potentially
interested colleagues.
Best regards,
The Conveners of the SM3.5 session
Session description:
Over the past decade, advances in near-fault observation
technologies have provided new insights into fault mechanics and
earthquake generation, enabled by multidisciplinary data
acquisition and integrated observations. The combination of dense,
multidisciplinary monitoring networks (e.g. Near-Fault
Observatories, large-N arrays, Distributed Acoustic Sensing, low
cost GNSS) with advanced processing techniques, including deep
learning and automatic detection pipelines, improves the
characterization of natural and induced earthquakes with
unprecedented detail. This multidisciplinary approach reveals
fault structures, stress accumulation processes, rupture
initiation and evolution, seismicity and fluid migration, aseismic
creep and postseismic deformation.
The geoscience community is converging on interdisciplinary
approaches that use these observations to answer key questions
about earthquake rupture mechanics and seismic hazard.
This session invites contributions presenting new approaches in
automated and machine learning-based seismic monitoring,
developments in real-time and end-to-end workflows for earthquake
detection and characterization, and modeling of rupture processes
using data from dense infrastructures. We invite contributions
that use multiparameter observation integration, and discuss
innovations in instrumentation, including DAS and geochemical
sensors. We also encourage contributions on Earth observation,
fault imaging, as well as data integration and software
development from near-fault observatories and induced-seismicity
episodes.