Long-range correlation studies in deep earthquakes global series

Douglas S.R. Ferreira, Jennifer Ribeiro, Paulo S.L. Oliveira, André R. Pimenta, Renato P. Freitas and Andrés R.R. Papa

Physica A: Statistical Mechanics and its Applications, 2020, vol. 560, issue C

Abstract: In the present paper we have conducted studies on seismological properties using worldwide data of deep earthquakes (depth larger than 70 km), considering events with magnitude greater than or equal to 4.5. This work is an extension of a previous study using a similar approach, for shallow events. We have addressed the problem under the perspective of complex networks, using a time window model to build the networks for deep earthquakes. These networks present scale-free and small-world features, contributing to strengthen the use of the time window model to construct epicenters networks. The results for deep events were analyzed using Nonextensive Statistical Mechanics and they corroborate with those found for the shallow ones, since the connectivity distribution for deep earthquakes also follows a q-exponential distribution and the scaling behavior is present. Our findings reinforce the idea of long-range correlations between earthquakes and the criticality of the seismological system.

Keywords: Earthquakes; Complex networks; Nonextensive statistical mechanics; Long-range correlations (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:560:y:2020:i:c:s0378437120305999

DOI: 10.1016/j.physa.2020.125146

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