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

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

AbstractIt is an open question whether machine-learning (ML) methods can be trusted in areas where dense and localized seismic networks are in operation, and prompt and accurate detection and location of earthquakes are essential to guide decision-making processes that contribute to seismic-risk-mit...

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Bibliographic Details
Main Authors: Monica Sugan, Laura Peruzza, Maria Adelaide Romano, Mariangela Guidarelli, Luca Moratto, Denis Sandron, Milton Percy Plasencia Linares, Marco Romanelli
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Machine learning
microseismicity
template matching
seismic monitoring
Collalto Seismic Network
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2023.2284120

Internet

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

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