气候变化领域集成服务门户(CCPortal): Resolving Complicated Faulting Process Using Multi-Point-Source Representation: Iterative Inversion Algorithm Improvement and Application to Recent Complex Earthquakes

CCPortal

DOI	10.1029/2019JB018601
	Resolving Complicated Faulting Process Using Multi-Point-Source Representation: Iterative Inversion Algorithm Improvement and Application to Recent Complex Earthquakes
	Yue H.; Lay T.
发表日期	2020
ISSN	21699313
卷号	125 期号:2
英文摘要	Complicated faulting processes of large earthquakes may involve simultaneous or sequential rupture of multiple fault planes, often with different focal mechanisms. Determination of these subevent focal mechanisms is essential for multifault parameterization and complex rupture process analysis. Iterative inversion for Multi-Point-Source (MPS) faulting representations using broadband teleseismic body waves is an established strategy to estimate the focal mechanism variation but tends to be an unstable procedure. We enhance an iterative inversion algorithm developed by M. Kikuchi and H. Kanamori by specifying extra a priori constraints in the inversion. These constraints include the specific search time window, location, and source time function of each point source subevent to enable controls over the temporal and spatial properties of each point source. We apply the improved algorithm to seven recent earthquakes with complex faulting: the 2008 Wenchuan, 2009 Samoa, 2010 El-Mayor Cucapah, 2010 Darfield, 2012 Indian Ocean, 2016 Kaikoura, and 2018 Gulf of Alaska earthquakes. The faulting complexity of these events has been independently constrained using geodetic, seismic, tsunami, and/or field observations, enabling tests of the MPS inversion algorithm performance. The improved iterative inversion resolves varying focal mechanisms of multiple point sources with specific timing consistent with detailed solutions, but spatial resolution tends to be relatively low (>20 km). Summation of subevent point-source solutions recovers 30% to 95% of the long-period point-source seismic moments, varying with different levels of parameterization. The improved iterative MPS inversion algorithm is a promising approach for prompt (within a few hours) analysis of primary focal mechanism variation with reasonable overall space-time distribution for complicated events. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Great Earthquake; Multi-point-source
语种	英语
来源期刊	Journal of Geophysical Research: Solid Earth
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/188007
作者单位	School of Earth and Space Sciences, Peking University, Beijing, China; Department of Earth and Planetary Sciences, University of California Santa Cruz, Santa Cruz, CA, United States
推荐引用方式 GB/T 7714	Yue H.,Lay T.. Resolving Complicated Faulting Process Using Multi-Point-Source Representation: Iterative Inversion Algorithm Improvement and Application to Recent Complex Earthquakes[J],2020,125(2).
APA	Yue H.,&Lay T..(2020).Resolving Complicated Faulting Process Using Multi-Point-Source Representation: Iterative Inversion Algorithm Improvement and Application to Recent Complex Earthquakes.Journal of Geophysical Research: Solid Earth,125(2).
MLA	Yue H.,et al."Resolving Complicated Faulting Process Using Multi-Point-Source Representation: Iterative Inversion Algorithm Improvement and Application to Recent Complex Earthquakes".Journal of Geophysical Research: Solid Earth 125.2(2020).