Machine learning versus manual earthquake location workflow: testing LOC-FLOW on an unusually productive microseismic sequence in northeastern Italy-Reference-Cited by-同舟云学术

Machine learning versus manual earthquake location workflow: testing LOC-FLOW on an unusually productive microseismic sequence in northeastern Italy

Published:2023-11-23 Issue:1 Volume:14 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Sugan Monica¹^ORCID,Peruzza Laura¹^ORCID,Romano Maria Adelaide¹^ORCID,Guidarelli Mariangela¹^ORCID,Moratto Luca¹^ORCID,Sandron Denis¹^ORCID,Plasencia Linares Milton Percy¹^ORCID,Romanelli Marco¹^ORCID

Affiliation:

1. National Institute of Oceanography and Applied Geophysics - OGS, Italy

Funder

Italian PRIN Project ‘Fault segmentation and seismotectonics of active thrust systems

the Northern Apennines and Southern Alps laboratories for new Seismic Hazard Assessments in northern Italy

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2284120

Reference41 articles.

1. Machine learning in microseismic monitoring

2. The OGS–Northeastern Italy Seismic and Deformation Network: Current Status and Outlook

3. Acquiring, archiving, analyzing and exchanging seismic data in real time at the Seismological Research Center of the OGS in Italy

4. Sources of Mw 5+ earthquakes in northeastern Italy and western Slovenia: An updated view based on geological and seismological evidence

5. Massive earthquake swarm driven by magmatic intrusion at the Bransfield Strait, Antarctica

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