Volume 114, Number 6, June 2016
|Number of page(s)||6|
|Published online||14 July 2016|
A model of return intervals between earthquake events
1 Max Planck Institute for the Physics of Complex Systems - Nöthnitzer Straße 38, D-01187 Dresden, Germany
2 Institute of Future Cities, The Chinese University of Hong Kong - Shatin, NT, Hong Kong SAR, China
3 Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong Shatin, NT, Hong Kong SAR, China
4 Department of Physics and Astronomy, University of Padova - I-35122 Padova, Italy
5 Akhiezer Institute for Theoretical Physics, Kharkov Institute of Physics and Technology - 61108 Kharkov, Ukraine
6 Institute of Physics, Humboldt University - Newtonstrasse 15, D-12489 Berlin, Germany
Received: 12 February 2016
Accepted: 21 June 2016
Application of the diffusion entropy analysis and the standard deviation analysis to the time sequence of the southern California earthquake events from 1976 to 2002 uncovered scaling behavior typical for anomalous diffusion. However, the origin of such behavior is still under debate. Some studies attribute the scaling behavior to the correlations in the return intervals, or waiting times, between aftershocks or mainshocks. To elucidate a nature of the scaling, we applied specific reshulffling techniques to eliminate correlations between different types of events and then examined how it affects the scaling behavior. We demonstrate that the origin of the scaling behavior observed is the interplay between mainshock waiting time distribution and the structure of clusters of aftershocks, but not correlations in waiting times between the mainshocks and aftershocks themselves. Our findings are corroborated by numerical simulations of a simple model showing a very similar behavior. The mainshocks are modeled by a renewal process with a power-law waiting time distribution between events, and aftershocks follow a nonhomogeneous Poisson process with the rate governed by Omori's law.
PACS: 05.45.Tp – Time series analysis / 91.30.Px – Earthquakes / 89.75.Da – Systems obeying scaling laws
© EPLA, 2016
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.