On the Nature and Dynamics of the Seismogenetic System of South California, Usa: An Analysis Based on Non-Extensive Statistical Physics

Efstathiou, Antonia; Tzanis, A.; Vallianatos, Filippos

doi:10.12681/bgsg.11839

Cited by 5 publications

(1 citation statement)

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“…The above example illustrates significance of complexity approach for development of time-dependent seismic hazard assessment. [94][95] Figure 5 Phase space portrait (noisy attractor) of daily series of EQ occurrences in the Spitak earthquake area (date: December 7, 1988, magnitude M=6.9), using 1960-2011seismic catalog for the distance R=100 km from the epicenter. The data were declustered and smoothed by the Savitzky-Golay filter.…”

Section: Seismic Complexity Measuresmentioning

confidence: 99%

Complexity of seismic process: a mini–review

Chélidzé¹

2017

PAIJ

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At present, there are two major concepts, adopted for description of seismic process. The simplest of them, namely, Poissonian model, now dominant, is a basis of widely accepted modern methods of Probabilistic Seismic Hazard Assessment. According to this model, the seismic events are independent of each other, i.e. the long-term correlations are absent in seismic process, which means that it can be described in terms of classic Boltzman-Gibbs (B-G) thermodynamics. Last decades, application of modern methods of complexity analysis revealed undeniable arguments in favour of existence of long-term correlations in temporal, spatial and energy distributions of seismic events, leading to power-law distributions in all three domains. As a result, nonlinear (hidden) structures were discovered in seismic data sets and their characteristics were calculated: it turned out that they vary with time, which is in contradiction with memoryless purely Poissonian approach. There is a hope that the analysis of temporal variations of complexity (seismic) measures offer a challenge of more well founded forecasting strong earthquakes.

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Section: Seismic Complexity Measuresmentioning

confidence: 99%