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  • 标题:Nonparametric Assessment of Aftershock Clusters of the Maule Earthquake Mw = 8.8
  • 本地全文:下载
  • 作者:Javier E. Contreras-Reyes
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2013
  • 卷号:11
  • 期号:4
  • 页码:623-638
  • 出版社:Tingmao Publish Company
  • 摘要:We study the spatial distribution of clusters associated to theaftershocks of the megathrust Maule earthquake MW 8.8 of 27 February2010. We used a recent clustering method which hinges on a nonparametricestimation of the underlying probability density function to detect subsetsof points forming clusters associated with high density areas. In addition,we estimate the probability density function using a nonparametric kernelmethod for each of these clusters. This allows us to identify a set of regionswhere there is an association between frequency of events and coseismicslip. Our results suggest that high coseismic slip is spatially related to highaftershock frequency.
  • 关键词:Aftershock distribution; kernel density estimation; Maule 2010;earthquake; nonparametric density-based clustering; slip model.
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