World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

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

By Batac, R. C.

Click here to view

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
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

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

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.

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

Acharya, H. K. and Aggarwal, Y. P.: Seismicity and tectonics of the Philippine Islands, J. Geophys. Res., 85, 3239–3250, doi:10.1029/JB085iB06p03239, 1980.; Anderson, J. G. and Nanjo, K.: Distribution of Earthquake Cluster Sizes in the Western United States and in Japan, B. Seismol. Soc. Am., 103, 412–423, 2013.; Baiesi, M. and Paczuski, M.: Scale-free networks of earthquakes and aftershocks, Phys. Rev. E, 69, 066106, doi:10.1103/PhysRevE.69.066106, 2004.; Bak, P., Christensen, K., Danon, L., and Scanlon, T.: Unified Scaling Law for Earthquakes, Phys. Rev. Lett., 88, 178501, doi:10.1103/PhysRevLett.88.178501, 2002.; Corral, A: Long-Term Clustering, Scaling, and Universality in the Temporal Occurrence of Earthquakes, Phys. Rev. Lett., 92, 108501, doi:10.1103/PhysRevLett.92.108501, 2004.; Corral, A: Universal Earthquake-Occurrence Jumps, Correlations with Time, and Anomalous Diffusion, Phys. Rev. Lett., 97, 178501, doi:10.1103/PhysRevLett.97.178501, 2006.; Davidsen, J. and Goltz, C.: Are seismic waiting time distributions universal? Geophys. Res. Lett., 31, L21612, doi:10.1029/2004GL020892, 2004.; Davidsen, J. and Paczuski, M: Analysis of the Spatial Distribution Between Successive Earthquakes, Phys. Rev. Lett., 94, 048501, doi:10.1103/PhysRevLett.94.048501, 2005.; Davidsen, J., Grassberger, P., and Paczuski, M.: Earthquake recurrence as a record-breaking process, Geophys. Res. Lett. 33, L11304, doi:10.1029/2006GL026122, 2006. \bibitem[Davidsen et al.(2008)] DavidsenEtAlPRE2008 Davidsen, J., Grassberger, P., and Paczuski, M.: Networks of recurrent events, a theory of records, and an application to finding causal signatures in seismicity, Phys. Rev. E, 77, 066104, doi:10.1103/PhysRevE.77.066104, 2008.; Hainzl, T., Scherbaum, F., and Beauval, C.: Estimating Background Activity Based on Interevent-Time Distribution, Bull. Seis. Soc. Am., 96, 313–320, 2006.; Hirata, T.: Fractal dimension of fault systems in Japan: Fractal structure in rock fracture geometry at various scales, Pure Appl. Geophys., 131, 157–170, 1989.; JUNEC, Catalogue:,
last access: December 2012.; Kagan, Y. Y. and Knopoff, L.: Spatial distribution of earthquakes: the two-point correlation function, Geophys. J. R. Astro. Soc., 62, 303–320, 1980.; Weaver, C. S. and Hill, D. P.: Earthquake swarms and local crustal spreading along major strike-slip faults in California, Pure Appl. Geophys., 117, 51–64, 1978.; Zaliapin, I. and Ben-Zion, Y.: Earthquake clusters in southern California I: Identification and stability, J. Geophys. Res.-Solid, 118, 2847–2864, 2013.; Kagan, Y. Y. and Knopoff, L.: Stochastic synthesis of earthquake catalogues, J. Geophys. Res. 86, 2853–2862, doi:10.1029/JB086iB04p02853, 1981.; Livina, V. N., Havlin, S., and Bunde, A.: Memory in the Occurrence of Earthquakes, Phys. Rev. Lett., 95, 208501, doi:{10.1103/PhysRevLett.95.208501, 2005.; Matsumoto, N., Yomogida, K., and Honda, S.: Fractal analysis of fault systems in Japan and the Philippines, Geophys. Res. Lett., 19, 357–360, doi:10.1029/92GL00202, 1992.; Ogata, Y.: Statist


Copyright © World Library Foundation. All rights reserved. eBooks from Comic eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.