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...
Main Authors: | S. Panebianco, C. Satriano, G. Vivone, M. Picozzi, A. Strollo, T. A. Stabile |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
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Series: | Geochemistry, Geophysics, Geosystems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2023GC011286 |
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