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Observing Spatio-temporal Clustering and Separation Using Interevent Distributions of Regional Earthquakes : Volume 21, Issue 4 (04/07/2014)

By Batac, R. C.

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Book Id: WPLBN0003992604
Format Type: PDF Article :
File Size: Pages 10
Reproduction Date: 2015

Title: Observing Spatio-temporal Clustering and Separation Using Interevent Distributions of Regional Earthquakes : Volume 21, Issue 4 (04/07/2014)  
Author: Batac, R. C.
Volume: Vol. 21, Issue 4
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Kantz, H., & Batac, R. C. (2014). Observing Spatio-temporal Clustering and Separation Using Interevent Distributions of Regional Earthquakes : Volume 21, Issue 4 (04/07/2014). Retrieved from http://netlibrary.net/


Description
Description: Max-Planck-Institut für Physik komplexer Systeme, Nöthnitzer Str. 38, 01187, Dresden, Germany. Past studies that attempted to quantify the spatio-temporal organization of seismicity have defined the conditions by which an event and those that follow it can be related in space and/or time. In this work, we use the simplest measures of spatio-temporal separation: the interevent distances R and interevent times T between pairs of successive events. We observe that after a characteristic value R*, the distributions of R begin to follow that of a randomly shuffled sequence, suggesting that events separated by R > R* are more likely to be uncorrelated events generated independent of one another. Interestingly, the conditional T distributions for short-distance (long-distance) events, RR* (R > R*), peak at correspondingly short (long) T values, signifying the spatio-temporal clustering (separation) of correlated (independent) events. By considering different threshold magnitudes within a range that ensures substantial catalogue completeness, invariant quantities related to the spatial and temporal spacing of correlated events and the rate of generation of independent events emerge naturally.

Summary
Observing spatio-temporal clustering and separation using interevent distributions of regional earthquakes

Excerpt
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