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Analysis of Self-Organized Criticality in Seismological Models

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dc.contributor Казанский федеральный университет
dc.contributor.author Kharshiladze Oleg Avtandilovich
dc.contributor.author Amilakhvari Dimitri
dc.contributor.author Belashov Vasily Yurievich
dc.date.accessioned 2020-08-31T07:39:19Z
dc.date.available 2020-08-31T07:39:19Z
dc.date.issued 2020
dc.identifier.citation Kharshiladze O. Analysis of Self-Organized Criticality in Seismological Models / O. Kharshiladze, D. Amilakhvari, V.Yu. Belashov // 3rd Conf. of the Arabian Journal of Geoscience (CAJG), 2-5 November 2020, Sousse, Tunisia, 2020. - 4 p.
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/159357
dc.description.abstract Self-organized criticality (SOC) is an important discovery made in statistical physics and related fields at the end of the 20th century. The concept of SOC have been applied in different fields such as geophysics, cosmology, economics, sociology, biology etc. In this paper we investigate SOC in natural phenomena such as seismic processes. We have developed the computer and laboratory models, where we observed SOC by using the complex methods of nonlinear analysis. The results of laboratory experiments and computer simulation of block chains were processed with the help of Wavelets, Recurrence quantification analysis, Hurst R/S and fractal dimension analysis. The obtained results allow us to determine precursors of the SOC.
dc.language.iso en
dc.relation.ispartofseries Proc. 3rd Conf. of the Arabian Journal of Geoscience (CAJG), Sousse, Tunisia, 2020.
dc.rights открытый доступ
dc.subject Self-Organized Criticality
dc.subject Seismology
dc.subject Nonlinear Analysis
dc.subject laboratory Experiments
dc.subject Computer Simulation
dc.subject Precursor of the SOC
dc.subject.other Геофизика
dc.subject.other Физика
dc.title Analysis of Self-Organized Criticality in Seismological Models
dc.type Article
dc.contributor.org Институт физики
dc.description.pages 13-16
dc.pub-id 237221

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