eprintid: 195
rev_number: 17
eprint_status: archive
userid: 2
dir: disk0/00/00/01/95
datestamp: 2015-02-16 14:49:06
lastmod: 2020-03-24 08:31:29
status_changed: 2015-04-27 07:27:31
type: article
metadata_visibility: show
creators_name: Zaliapin, Ilya
creators_name: Gabrielov, Andrei
creators_name: Keilis-Borok, Vladimir
creators_name: Wong, Henry
corp_creators: Department of Mathematics and Statistics, University of Nevada, Reno, Nevada 89557-0084, USA
corp_creators: Departments of Mathematics and Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana 47907-1395, USA
corp_creators: Institute of Geophysics and Planetary Physics, and Department of Earth and Space Sciences, University of California Los Angeles, 3845 Slichter Hall, Los Angeles, California 90095-1567, USA
title: Clustering Analysis of Seismicity and Aftershock Identification
ispublished: pub
subjects: MP2_3
divisions: EPOS-P
full_text_status: none
abstract: We introduce a statistical methodology for clustering analysis of seismicity in the time-space-energy domain and use it to establish the existence of two statistically distinct populations of earthquakes: clustered and nonclustered. This result can be used, in particular, for nonparametric aftershock identification. The proposed approach expands the analysis of Baiesi and Paczuski [Phys. Rev. E 69, 066106 (2004)] based on the space-time-magnitude nearest-neighbor distance η between earthquakes. We show that for a homogeneous Poisson marked point field with exponential marks, the distance η has the Weibull distribution, which bridges our results with classical correlation analysis for point fields. The joint 2D distribution of spatial and temporal components of η is used to identify the clustered part of a point field. The proposed technique is applied to several seismicity models and to the observed seismicity of southern California.
date: 2008-07
date_type: published
publication: Physical Review Letters
volume: 101
number: 1
publisher: The American Physical Society
id_number: doi:10.1103/PhysRevLett.101.018501
refereed: TRUE
issn: 0031-9007
official_url: http://dx.doi.org/10.1103/PhysRevLett.101.018501
access_IS-EPOS: unlimited
owner: Publisher
citation:   Zaliapin, Ilya and Gabrielov, Andrei and Keilis-Borok, Vladimir and Wong, Henry  (2008) Clustering Analysis of Seismicity and Aftershock Identification.  Physical Review Letters, 101 (1).  DOI: https://doi.org/10.1103/PhysRevLett.101.018501 <https://doi.org/10.1103/PhysRevLett.101.018501>