New insights into active faults revealed by a deep-learning-based earthquake catalog in central Myanmar

New insights into active faults revealed by a deep-learning-based earthquake catalog in central Myanmar

Myanmar bears a high risk of destructive earthquakes, yet detailed seismicity catalogs are rare. We designed a deep-learning-based data processing pipeline and applied it to the data recorded by a large-aperture (∼400 km) seismic array in central Myanmar to produce a high-resolution earthquake catal...

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Bibliographic Details
Main Authors: Yang, Shun, Xiao, Zhuowei, Wei, Shengji, He, Yumei, Mon, Chit Thet, Hou, Guangbing, Thant, Myo, Sein, Kyaing, Jiang, Mingming
Other Authors: Asian School of the Environment
Format: Journal Article
Language:English
Published: 2024
Subjects:
Earth and Environmental Sciences
Deformation response
Earthquake catalogs
Online Access:https://hdl.handle.net/10356/178538

Internet

https://hdl.handle.net/10356/178538

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