Automated Detection and Machine Learning‐Based Classification of Seismic Tremors Associated With a Non‐Volcanic Gas Emission (Mefite d’Ansanto, Southern Italy)

Automated Detection and Machine Learning‐Based Classification of Seismic Tremors Associated With a Non‐Volcanic Gas Emission (Mefite d’Ansanto, Southern Italy)

Abstract A major aim in the study of crustal fluids is the development of automatic methodologies for monitoring deep‐source, non‐volcanic gas emissions’ spatio‐temporal evolution. Crustal fluids play a significant role in the generation of large earthquakes and the characterization of their emissio...

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Bibliographic Details
Main Authors: S. Panebianco, C. Satriano, G. Vivone, M. Picozzi, A. Strollo, T. A. Stabile
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Geochemistry, Geophysics, Geosystems
Subjects:
seismic array
non‐volcanic tremor
gas emission
machine‐learning
automatic detection
Mefite d’Ansanto
Online Access:https://doi.org/10.1029/2023GC011286

Internet

https://doi.org/10.1029/2023GC011286

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