Deep outer-rise faults in the Southern Mariana Subduction Zone indicated by a machine-learning-based high-resolution earthquake catalog

dc.contributor.author Chen, Han
dc.contributor.author Yang, Hongfeng
dc.contributor.author Zhu, Gaohua
dc.contributor.author Xu, Min
dc.contributor.author Lin, Jian
dc.contributor.author You, Qingyu
dc.date.accessioned 2022-10-07T17:00:34Z
dc.date.available 2022-12-06T07:27:14Z
dc.date.issued 2022-06-06
dc.description Author Posting. © American Geophysical Union, 2022. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 49(12), (2022): e2022GL097779, https://doi.org/10.1029/2022GL097779. en_US
dc.description.abstract Outer-rise faults are predominantly concentrated near ocean trenches due to subducted plate bending. These faults play crucial roles in the hydration of subducted plates and the consequent subducting processes. However, it has not yet been possible to develop high-resolution structures of outer-rise faults due to the lack of near-field observations. In this study we deployed an ocean bottom seismometer (OBS) network near the Challenger Deep in the Southernmost Mariana Trench, between December 2016 and June 2017, covering both the overriding and subducting plates. We applied a machine-learning phase detector (EQTransformer) to the OBS data and found more than 1,975 earthquakes. An identified outer-rise event cluster revealed an outer-rise fault penetrating to depths of 50 km, which was inferred as a normal fault based on the extensional depth from tomographic images in the region, shedding new lights on water input at the southmost Mariana subduction zone. en_US
dc.description.embargo 2022-12-06 en_US
dc.description.sponsorship This study is supported by National Natural Science Foundation of China (Nos. 91858207, 92158205, 41890813), Hong Kong Research Grant Council Grants (No. 14304820), Award from CORE (a joint research center for ocean research between QNLM and HKUST), Chinese Academy of Sciences (Nos. Y4SL021001, QYZDY-SSW-DQC005), and Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (No. GML2019ZD0205), Faculty of Science at CUHK. en_US
dc.identifier.citation Chen, H., Yang, H., Zhu, G., Xu, M., Lin, J., & You, Q. (2022). Deep outer-rise faults in the Southern Mariana Subduction Zone indicated by a machine-learning-based high-resolution earthquake catalog. Geophysical Research Letters, 49 (12), e2022GL097779. en_US
dc.identifier.doi 10.1029/2022GL097779
dc.identifier.uri https://hdl.handle.net/1912/29395
dc.publisher American Geophysical Union en_US
dc.relation.uri https://doi.org/10.1029/2022GL097779
dc.subject Outer-rise fault en_US
dc.subject Mariana Subduction Zone en_US
dc.subject EQTransformer en_US
dc.subject Ocean bottom seismometer en_US
dc.title Deep outer-rise faults in the Southern Mariana Subduction Zone indicated by a machine-learning-based high-resolution earthquake catalog en_US
dc.type Article en_US
dspace.entity.type Publication
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