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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union

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© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
19 Jan 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Nonlinear Processes in Geophysics (NPG).
Simple statistics for complex Earthquakes’ time distribution
Teimuraz Matcharashvili1, Takahiro Hatano2, Tamaz Chelidze1, and Natalia Zhukova1 1M. Nodia Institute of Geophysics, Tbilisi State University, Tbilisi, Georgia
2Earthquake Research Institute, the University of Tokyo, Tokyo, Japan
Abstract. Here we investigated a statistical feature of earthquakes time distribution in southern Californian earthquake catalogue. As a main data analysis tool, we used simple statistical approach based on the calculation of integral deviation times (IDT) from the time distribution of regular markers. The research objective is to define whether the process of earthquakes time distribution approaches to randomness. Effectiveness of the IDT calculation method was tested on the set of simulated color noise data sets with the different extent of regularity. Standard methods of complex data analysis have also been used, such as power spectrum regression, Lempel and Ziv complexity and recurrence quantification analysis as well as multi-scale entropy calculation. After testing the IDT calculation method for simulated model data sets, we have analyzed the variation of the extent of regularity in southern Californian earthquake catalogue. Analysis was carried out for different time periods and at different magnitude thresholds. It was found that the extent of the order in earthquakes time distribution is fluctuating over the catalogue. Particularly, we show that the process of earthquakes’ time distribution becomes most random-like in periods of decreased local seismic activity.
Citation: Matcharashvili, T., Hatano, T., Chelidze, T., and Zhukova, N.: Simple statistics for complex Earthquakes’ time distribution, Nonlin. Processes Geophys. Discuss.,, in review, 2018.
Teimuraz Matcharashvili et al.
Teimuraz Matcharashvili et al.
Teimuraz Matcharashvili et al.


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