eprintid: 165
rev_number: 18
eprint_status: archive
userid: 2
dir: disk0/00/00/01/65
datestamp: 2015-02-10 11:47:46
lastmod: 2020-03-24 08:21:09
status_changed: 2015-04-27 07:26:51
type: article
metadata_visibility: show
creators_name: Cho, N. F.
creators_name: Tiampo, Kristy F.
creators_name: Mckinnon, S. D.
creators_name: Vallejos, J. A.
creators_name: Klein, W.
creators_name: Dominguez, R.
creators_id: ncho3@uwo.ca
creators_id: ktiampo@uwo.ca
creators_id: 
creators_id: 
creators_id: 
creators_id: 
corp_creators: Department of Earth Sciences, University of Western Ontario, London, Canada
corp_creators: Department of Mining Engineering, Queen’s University, Kingston, Canada
corp_creators: Department of Physics, Boston University, Boston, USA
corp_creators: Department of Physics, Western Kentucky University, Bowling Green, USA
title: A simple metric to quantify seismicity clustering
ispublished: pub
subjects: MP2_3
divisions: EPOS-P
full_text_status: none
abstract: The Thirulamai-Mountain (TM) metric was first
developed to study ergodicity in fluids and glasses (Thiru-
malai and Mountain, 1993) using the concept of effective
ergodicity, where a large but finite time interval is consid-
ered. Tiampo et al. (2007) employed the TM metric to earth-
quake systems to search for effective ergodic periods, which
are considered to be metastable equilibrium states that are
disrupted by large events. The physical meaning of the TM
metric for seismicity is addressed here in terms of the cluster-
ing of earthquakes in both time and space for different sets of
data. It is shown that the TM metric is highly dependent not
only on spatial/temporal seismicity clustering, but on the past
seismic activity of the region and the time intervals consid-
ered as well, and that saturation occurs over time, resulting in
a lower sensitivity to local clustering. These results confirm
that the TM metric can be used to quantify seismicity clus-
tering from both spatial and temporal perspectives, in which
the disruption of effective ergodic periods are caused by the
agglomeration of events.
date: 2010-07-02
date_type: published
publication: Nonlinear Processes in Geophysics
volume: 17
number: 4
publisher: American Geophysical Union
pagerange: 293-302
id_number: doi:10.5194/npg-17-293-2010
refereed: TRUE
issn: 1607-7946
official_url: http://dx.doi.org/10.5194/npg-17-293-2010
access_IS-EPOS: unlimited
owner: Publisher
citation:   Cho, N. F. and Tiampo, Kristy F. and Mckinnon, S. D. and Vallejos, J. A. and Klein, W. and Dominguez, R.  (2010) A simple metric to quantify seismicity clustering.  Nonlinear Processes in Geophysics, 17 (4).  pp. 293-302. DOI: https://doi.org/10.5194/npg-17-293-2010 <https://doi.org/10.5194/npg-17-293-2010>