Power-law patterns in sequences of statistically related events preceding to the main event
Vestnik KRAUNC. Fiziko-matematičeskie nauki, Tome 33 (2020) no. 4, pp. 102-109

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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.
@article{VKAM_2020_33_4_a8,
     author = {O. V. Sheremetyeva},
     title = {Power-law patterns in sequences of statistically related events preceding to the main event},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
     pages = {102--109},
     publisher = {mathdoc},
     volume = {33},
     number = {4},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VKAM_2020_33_4_a8/}
}
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O. V. Sheremetyeva. Power-law patterns in sequences of statistically related events preceding to the main event. Vestnik KRAUNC. Fiziko-matematičeskie nauki, Tome 33 (2020) no. 4, pp. 102-109. http://geodesic.mathdoc.fr/item/VKAM_2020_33_4_a8/