Nonparametric Assessment of Aftershock Clusters of the Maule Earthquake Mw = 8.8

Journal of Data Science

article

Javier E. Contreras-Reyes¹ 

[1]University of Valpara´ıso

关键词: Aftershock distribution;    kernel density estimation;    nonparametric density-based clustering;   

DOI  :  10.6339/JDS.2013.11(4).1188

学科分类：土木及结构工程学

来源: JDS

【 摘 要 】

We study the spatial distribution of clusters associated to the aftershocks of the megathrust Maule earthquake MW 8.8 of 27 February 2010. We used a recent clustering method which hinges on a nonparametric estimation of the underlying probability density function to detect subsets of points forming clusters associated with high density areas. In addition, we estimate the probability density function using a nonparametric kernel method for each of these clusters. This allows us to identify a set of regions where there is an association between frequency of events and coseismic slip. Our results suggest that high coseismic slip is spatially related to high aftershock frequency.

【 授权许可】

CC BY