气候变化领域集成服务门户(CCPortal): Rapid Characterization of the July 2019 Ridgecrest; California; Earthquake Sequence From Raw Seismic Data Using Machine-Learning Phase Picker

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DOI	10.1029/2019GL086189
	Rapid Characterization of the July 2019 Ridgecrest; California; Earthquake Sequence From Raw Seismic Data Using Machine-Learning Phase Picker
	Liu M.; Zhang M.; Zhu W.; Ellsworth W.L.; Li H.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:4
英文摘要	The two principle earthquakes of the July 2019 Ridgecrest, California, earthquake sequence, MW 6.4 and 7.1, and their immediate foreshocks and thousands of aftershocks present a challenging environment for rapid analysis and characterization of this sequence as it unfolded. In this study, we analyze the first 6 days of the sequence using continuous data from available seismic networks to detect and locate earthquakes associated with the earthquake sequence. We build a high-precision earthquake catalog using a deep-neural-network-based picker—PhaseNet and a sequential earthquake association and location workflow. Without prior information, we automatically detect and locate more than twice as many earthquakes as the routine catalog. Our high-precision earthquake catalog reveals detailed spatiotemporal evolution of the earthquake sequence and clearly defines multiple faults activated during the sequence. Our study demonstrates that it is possible to characterize earthquake sequences from raw seismic data using a well-trained machine-learning picker and our workflow. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Deep learning; Deep neural networks; Geophysical prospecting; Learning systems; Seismic response; Seismic waves; California; Continuous data; Earthquake catalogs; Earthquake sequences; Multiple faults; Prior information; Seismic networks; Spatiotemporal evolution; Earthquakes; aftershock; earthquake catalogue; earthquake engineering; machine learning; seismic data; California; United States
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/170722
作者单位	School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China; Department of Earth and Environmental Sciences, Dalhousie University, Halifax, NS, Canada; Department of Geophysics, Stanford University, Stanford, CA, United States
推荐引用方式 GB/T 7714	Liu M.,Zhang M.,Zhu W.,et al. Rapid Characterization of the July 2019 Ridgecrest; California; Earthquake Sequence From Raw Seismic Data Using Machine-Learning Phase Picker[J],2020,47(4).
APA	Liu M.,Zhang M.,Zhu W.,Ellsworth W.L.,&Li H..(2020).Rapid Characterization of the July 2019 Ridgecrest; California; Earthquake Sequence From Raw Seismic Data Using Machine-Learning Phase Picker.Geophysical Research Letters,47(4).
MLA	Liu M.,et al."Rapid Characterization of the July 2019 Ridgecrest; California; Earthquake Sequence From Raw Seismic Data Using Machine-Learning Phase Picker".Geophysical Research Letters 47.4(2020).