Structural analysis of temporal course of seismicity in epicentral zone of Preci earthquiake (Italy, 2016, M = 6.6) before and after the main shock
Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
Journal: Problems of Engineering Seismology
Tome: 50
Number: 4
Year: 2023
Pages: 95-105
UDK: 550.34.01+550.348.436
DOI: 10.21455/VIS2023.4-6
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Stakhovsky
I.R. Structural analysis of temporal course of seismicity in epicentral zone of Preci earthquiake (Italy, 2016, M = 6.6) before and after the main shock // . 2023. Т. 50. № 4. С. 95-105. DOI: 10.21455/VIS2023.4-6
@article{Stakhovsky
Structural2023,
author = "Stakhovsky
, I. R.",
title = "Structural analysis of temporal course of seismicity in epicentral zone of Preci earthquiake (Italy, 2016, M = 6.6) before and after the main shock",
journal = "Problems of Engineering Seismology",
year = 2023,
volume = "50",
number = "4",
pages = "95-105",
doi = "10.21455/VIS2023.4-6",
language = "English"
}
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Keywords: scaling, Preci earthquake, multifractal analysis, waiting time series, temporal course of seismicity
Аnnotation: The process of temporal course of seismicity before and after the Preci earthquake (Central Italy, 2016, M = 6.6) in its epicentral area is investigated by the help of the scaling analysis methods. The sequences of time intervals between the subsequent events in epicentral area (waiting time series) are used. It is shown that the waiting time series, that represents the sequence of events which preceded the main shock of the Preci earthquake, has the multifractal structure, while the waiting time series, that represents the sequence of aftershocks, loses the scale-invariant order. The interpretation of the obtained results based on the theory of non-equilibrium processes is proposed. It is concluded that the observed structural variations of temporal course of seismicity are advisable to connect to the seismogenerating system transition to strongly non-equilibrium state before the main shock of Preci earthquake. The described data processing algorithm may prove to be useful for seismic forecast purposes.