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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 15, issue 2
Nonlin. Processes Geophys., 15, 333–338, 2008
https://doi.org/10.5194/npg-15-333-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 15, 333–338, 2008
https://doi.org/10.5194/npg-15-333-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Apr 2008

16 Apr 2008

Statistical properties of earthquakes clustering

A. Vecchio1, V. Carbone1, L. Sorriso-Valvo2, C. De Rose1, I. Guerra1, and P. Harabaglia3 A. Vecchio et al.
  • 1Dipartimento di Fisica, Università della Calabria, Rende (CS), Italy
  • 2LICRYL-INFM/CNR, ponte P. Bucci, cubo 31 C, 87036 Rende (CS), Italy
  • 3Dipartimento di Strutture, Geotecnica e Geologia Applicata all'Ingegneria, Università della Basilicata, Potenza, Italy

Abstract. Often in nature the temporal distribution of inhomogeneous stochastic point processes can be modeled as a realization of renewal Poisson processes with a variable rate. Here we investigate one of the classical examples, namely, the temporal distribution of earthquakes. We show that this process strongly departs from a Poisson statistics for both catalogue and sequence data sets. This indicate the presence of correlations in the system probably related to the stressing perturbation characterizing the seismicity in the area under analysis. As shown by this analysis, the catalogues, at variance with sequences, show common statistical properties.

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