气候变化领域集成服务门户(CCPortal): Modeling repeated coseismic slip to identify and characterize individual earthquakes from geomorphic offsets on strike-slip faults

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DOI	10.1016/j.epsl.2020.116313
	Modeling repeated coseismic slip to identify and characterize individual earthquakes from geomorphic offsets on strike-slip faults
	Lin Z.; Liu-Zeng J.; Weldon R.J.; II; Tian J.; Ding C.; Du Y.
发表日期	2020
ISSN	0012821X
卷号	545
英文摘要	Coseismic slip distributions of repeated earthquakes are important data used to forecast magnitude and recurrence characteristics of future earthquakes. Many studies infer coseismic slip of past individual paleoearthquakes from frequency histograms of geomorphic offsets. Such histograms, often expressed as a COPD (cumulative offset probability distribution), commonly show multiple peaks with similar displacements, which are interpreted to be incremental slip associated with successive paleoearthquakes. However, assumptions in linking COPD peaks to individual earthquakes have not been fully explored. Here, we combine statistical modeling with global historical coseismic surface rupture data to evaluate the conditions required for the approach. The results show that only coseismic slip with low variability allow more than one event identification; for example, even low CoVs (coefficient of offset variation) of 0.25 and 0.35 permit identification of only 2 to 3 events. In contrast, the mean CoV value for all historical ruptures is 0.58 to 0.66. Furthermore, interpreting the first COPD peak as a single-event slip distribution could result in artificially low variation and flatter distribution of offset than observed in historical earthquakes. This study cautions that robust COPD interpretation on large strike-slip faults requires low offset variability, a sufficient number of offset measurements, and additional constraints like historical coseismic slip data or paleoseismic event sequence data. © 2020 Elsevier B.V.
关键词	COPD (cumulative offset probability distribution)CoV (coefficient of offset variation)earthquake recurrence models geomorphic offset global historical coseismic surface ruptures strike-slip fault
英文关键词	Cobalt alloys; Earthquakes; Graphic methods; Probability distributions; Strike-slip faults; Coseismic slip distribution; Coseismic surface rupture; Event identification; Event sequence datum; Frequency histograms; Historical earthquakes; Slip distribution; Statistical modeling; Fault slips; earthquake event; earthquake magnitude; earthquake prediction; earthquake rupture; forecasting method; frequency analysis; slip rate; strike-slip fault
语种	英语
来源期刊	Earth and Planetary Science Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/202744
作者单位	Key laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, 310027, China; School of Earth Science System, Tianjin University, Tianjin, 300350, China; Department of Earth Sciences, University of Oregon, Eugene, OR 97403, United States; School of Computer Sciences, Zhejiang University, Hangzhou, 310013, China
推荐引用方式 GB/T 7714	Lin Z.,Liu-Zeng J.,Weldon R.J.,et al. Modeling repeated coseismic slip to identify and characterize individual earthquakes from geomorphic offsets on strike-slip faults[J],2020,545.
APA	Lin Z..,Liu-Zeng J..,Weldon R.J..,II.,Tian J..,...&Du Y..(2020).Modeling repeated coseismic slip to identify and characterize individual earthquakes from geomorphic offsets on strike-slip faults.Earth and Planetary Science Letters,545.
MLA	Lin Z.,et al."Modeling repeated coseismic slip to identify and characterize individual earthquakes from geomorphic offsets on strike-slip faults".Earth and Planetary Science Letters 545(2020).