Estimation earthquake occurrence probability in Kamchatka region based on seismological and complex of ionospheric precursors
In this paper the authors present the method of estimation of a region, waiting period and probability of strong earthquakes with KS ≥ 13.5 (M ≥ 6.0) in Kamchatka region based on the combination of mid-term and short-term predictive signs accompanying earthquake formation. The seismological predicti...
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EDP Sciences
2021
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oai:doaj.org-article:5ee1e7a10df44632b4636244d25cadd72021-11-12T11:44:52ZEstimation earthquake occurrence probability in Kamchatka region based on seismological and complex of ionospheric precursors2100-014X10.1051/epjconf/202125403003https://doaj.org/article/5ee1e7a10df44632b4636244d25cadd72021-01-01T00:00:00Zhttps://www.epj-conferences.org/articles/epjconf/pdf/2021/08/epjconf_strpep2021_03003.pdfhttps://doaj.org/toc/2100-014XIn this paper the authors present the method of estimation of a region, waiting period and probability of strong earthquakes with KS ≥ 13.5 (M ≥ 6.0) in Kamchatka region based on the combination of mid-term and short-term predictive signs accompanying earthquake formation. The seismological predictive parameter ξP was taken as a mid-term precursor. It was calculated on the basis of the probabilistic model of seismic regime. A complex of ionospheric parameters was considered as short-term predictive signs with an earthquake waiting period of up to 5 days. It includes the K-layer, the sporadic Es layer of the r type, the critical frequency foF2, and the frequency stratification of the F2 layer. The probabilities of strong earthquakes with KS ≥ 13.5 (M ≥ 6.0) that occurred over the period 2019–2021 in an expected zone, determined by the parameter ξP, were estimated on the basis of Bayes method provided that a complex of anomalous parameters of the ionosphere was identified.Boganov VadimPavlov AlekseyEDP SciencesarticlePhysicsQC1-999ENEPJ Web of Conferences, Vol 254, p 03003 (2021) |
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Physics QC1-999 Boganov Vadim Pavlov Aleksey Estimation earthquake occurrence probability in Kamchatka region based on seismological and complex of ionospheric precursors |
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In this paper the authors present the method of estimation of a region, waiting period and probability of strong earthquakes with KS ≥ 13.5 (M ≥ 6.0) in Kamchatka region based on the combination of mid-term and short-term predictive signs accompanying earthquake formation. The seismological predictive parameter ξP was taken as a mid-term precursor. It was calculated on the basis of the probabilistic model of seismic regime. A complex of ionospheric parameters was considered as short-term predictive signs with an earthquake waiting period of up to 5 days. It includes the K-layer, the sporadic Es layer of the r type, the critical frequency foF2, and the frequency stratification of the F2 layer. The probabilities of strong earthquakes with KS ≥ 13.5 (M ≥ 6.0) that occurred over the period 2019–2021 in an expected zone, determined by the parameter ξP, were estimated on the basis of Bayes method provided that a complex of anomalous parameters of the ionosphere was identified. |
format |
article |
author |
Boganov Vadim Pavlov Aleksey |
author_facet |
Boganov Vadim Pavlov Aleksey |
author_sort |
Boganov Vadim |
title |
Estimation earthquake occurrence probability in Kamchatka region based on seismological and complex of ionospheric precursors |
title_short |
Estimation earthquake occurrence probability in Kamchatka region based on seismological and complex of ionospheric precursors |
title_full |
Estimation earthquake occurrence probability in Kamchatka region based on seismological and complex of ionospheric precursors |
title_fullStr |
Estimation earthquake occurrence probability in Kamchatka region based on seismological and complex of ionospheric precursors |
title_full_unstemmed |
Estimation earthquake occurrence probability in Kamchatka region based on seismological and complex of ionospheric precursors |
title_sort |
estimation earthquake occurrence probability in kamchatka region based on seismological and complex of ionospheric precursors |
publisher |
EDP Sciences |
publishDate |
2021 |
url |
https://doaj.org/article/5ee1e7a10df44632b4636244d25cadd7 |
work_keys_str_mv |
AT boganovvadim estimationearthquakeoccurrenceprobabilityinkamchatkaregionbasedonseismologicalandcomplexofionosphericprecursors AT pavlovaleksey estimationearthquakeoccurrenceprobabilityinkamchatkaregionbasedonseismologicalandcomplexofionosphericprecursors |
_version_ |
1718430555545010176 |