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