2008
DOI: 10.5194/npg-15-333-2008
|View full text |Cite
|
Sign up to set email alerts
|

Statistical properties of earthquakes clustering

Abstract: 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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
6
0

Year Published

2011
2011
2021
2021

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 13 publications
0
6
0
Order By: Relevance
“…If the data set where truly poissonian, SP(Δt) exp (−μΔt) (where μ is the average value of Δt), so that λ should be constant over the entire Δt i data set. This approach is even more powerful than that devised by Vecchio et al (2008).…”
Section: Internal Correlation Of Global Seismicitymentioning
confidence: 99%
“…If the data set where truly poissonian, SP(Δt) exp (−μΔt) (where μ is the average value of Δt), so that λ should be constant over the entire Δt i data set. This approach is even more powerful than that devised by Vecchio et al (2008).…”
Section: Internal Correlation Of Global Seismicitymentioning
confidence: 99%
“…The final step consists in evaluating if R is significantly different from 1, for any of the variables V, in any of the conditions C within a V T range. This means we need to devise a test starting from the assumption that earthquake occurrence is not poissonian [1][2][3][4][5][6][7] . We choose to create 10 5 synthetic data sets, using the real data inter-event time intervals randomly combined.…”
mentioning
confidence: 99%
“…Seismic events are complex spatial-temporal phenomena [Turcotte 1993, Sornette 1999, Pavlos et al 2007, Vecchio et al 2008, Sornette and Werner 2009, since they occur in clusters and exhibit scale-invariant characteristics. The most typical description in such cases is the division of the earthquakes into foreshocks, main quakes and aftershocks.…”
Section: Aftershocks Spatial Distributionmentioning
confidence: 99%