DOI: 10.1016/j.epsl.2020.116313
论文题名: Modeling repeated coseismic slip to identify and characterize individual earthquakes from geomorphic offsets on strike-slip faults
作者: Lin Z. ; Liu-Zeng J. ; Weldon R.J. ; II ; Tian J. ; Ding C. ; Du Y.
刊名: Earth and Planetary Science Letters
ISSN: 0012821X
出版年: 2020
卷: 545 语种: 英语
中文关键词: 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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/165122
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Earth and Planetary Science Letters,2020-01-01,545