Deep Outer-Rise Faults in the Southern Mariana Subduction Zone Indicated by a Machine-Learning-Based High-Resolution Earthquake Catalog

doi:10.1029/2022GL097779

IOCAS-IR > 海洋地质与环境重点实验室

	Deep Outer-Rise Faults in the Southern Mariana Subduction Zone Indicated by a Machine-Learning-Based High-Resolution Earthquake Catalog
	Chen, Han 1; Yang, Hongfeng 1,2; Zhu, Gaohua 1,3,4; Xu, Min 5,6; Lin, Jian 5,7,8; You, Qingyu 9
	2022-06-28
发表期刊	GEOPHYSICAL RESEARCH LETTERS
ISSN	0094-8276
卷号	49 期号:12 页码:12
通讯作者	Yang, Hongfeng(hyang@cuhk.edu.hk)
摘要	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.
关键词	outer-rise fault Mariana Subduction Zone EQTransformer ocean bottom seismometer
DOI	10.1029/2022GL097779
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[91858207] ; National Natural Science Foundation of China[92158205] ; National Natural Science Foundation of China[41890813] ; Hong Kong Research Grant Council[14304820] ; CORE ; Chinese Academy of Sciences[Y4SL021001] ; Chinese Academy of Sciences[QYZDY-SSW-DQC005] ; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Faculty of Science at CUHK[GML2019ZD0205]
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000813617100001
出版者	AMER GEOPHYSICAL UNION
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/179656
专题	海洋地质与环境重点实验室
通讯作者	Yang, Hongfeng
作者单位	1.Chinese Univ Hong Kong, Earth Syst Sci Programme, Fac Sci, Hong Kong, Peoples R China 2.Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Ctr Ocean Mega Sci, CAS Key Lab Marine Geol & Environm, Qingdao, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao, Peoples R China 5.Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Marginal Sea Geol, Guangzhou, Peoples R China 6.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou, Peoples R China 7.Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen, Peoples R China 8.Woods Hole Oceanog Inst, Dept Geol & Geophys, Falmouth, MA USA 9.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Chen, Han,Yang, Hongfeng,Zhu, Gaohua,et al. Deep Outer-Rise Faults in the Southern Mariana Subduction Zone Indicated by a Machine-Learning-Based High-Resolution Earthquake Catalog[J]. GEOPHYSICAL RESEARCH LETTERS,2022,49(12):12.
APA	Chen, Han,Yang, Hongfeng,Zhu, Gaohua,Xu, Min,Lin, Jian,&You, Qingyu.(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),12.
MLA	Chen, Han,et al."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(2022):12.