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Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2020, Volume 33, Number 4, Pages 102–109
DOI: https://doi.org/10.26117/2079-6641-2020-33-4-102-109
(Mi vkam439)
 

This article is cited in 1 scientific paper (total in 1 paper)

MATHEMATICAL MODELING

Power-law patterns in sequences of statistically related events preceding to the main event

O. V. Sheremetyeva

Institute of Cosmophysical Researches and Radio Wave Propagation Far-Eastern Branch Russian Academy of Sciences
Full-text PDF (295 kB) Citations (1)
References:
Abstract: Using a statistical model of related events and data from the seismic catalog of the FRC GS RAS for the period 01.01.1962-31.12.2002 (n = 79283 events) for the subduction zone of the Kuril-Кamchatka island arc (50^{\circ}-60^{\circ} N, 156^{\circ}-166^{\circ} E, classes 4.1-16.1, depths 0-600 km) the sequences of events preceding the main event of a given magnitude and associated with it in the spatio-temporal region are constructed. A statistical analysis of the power laws presence in these sequences was carried out on the basis of the relaxation model of deformation activity. It was possible to obtain power-law patterns in sequences of related events for main events thet energy class is less than 12. The exponent takes the values of 0.5-0.7. The possibility of detecting of power-law patterns for the main events of such an energy class is explained by a large sample size for them and by a by a small spatio-temporal region of event preparation that reduces the probability to got the aftershocks from events with larger energy preceding the one under consideration into the sequence of related events.
Keywords: related seismic events, foreshock sequences, statistical diffusion model, model of relaxation processes, power laws.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation АААА-А17-117080110043-4
The name of the funding programme: The work was carried out within the framework of the state assignment on the topic «Dynamics of physical processes in active zones of near space and geospheres» (Reg. No. АААА-А17-117080110043-4).. Organization that has provided funding: Ministry of Science and Higher Education.
Bibliographic databases:
Document Type: Article
UDC: 519.25 +519.237+ 550.34.01
MSC: 60G99
Language: Russian
Citation: O. V. Sheremetyeva, “Power-law patterns in sequences of statistically related events preceding to the main event”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 33:4 (2020), 102–109
Citation in format AMSBIB
\Bibitem{She20}
\by O.~V.~Sheremetyeva
\paper Power-law patterns in sequences of statistically related events preceding to the main event
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2020
\vol 33
\issue 4
\pages 102--109
\mathnet{http://mi.mathnet.ru/vkam439}
\crossref{https://doi.org/10.26117/2079-6641-2020-33-4-102-109}
\elib{https://elibrary.ru/item.asp?id=44461978}
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  • https://www.mathnet.ru/eng/vkam439
  • https://www.mathnet.ru/eng/vkam/v33/i4/p102
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Vestnik KRAUNC. Fiziko-Matematicheskie Nauki Vestnik KRAUNC. Fiziko-Matematicheskie Nauki
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    Abstract page:80
    Full-text PDF :28
    References:16
     
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