Medium-Term Prediction of Sakhalin’s Dangerous Seismic Events in the LURR and SRP Models
Abstract This paper is devoted to the two methods of strong earthquakes prediction based on the analysis of seismic catalogues. The first method is well-known as LURR ( load-unload response ratio ) and involve the Coulomb-Mohr’s criteria and basic laws of linear theory of elasticity. Inherently, it...
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crioppubl:10.1088/1755-1315/272/2/022021 2024-06-02T08:13:55+00:00 Medium-Term Prediction of Sakhalin’s Dangerous Seismic Events in the LURR and SRP Models Zakupin, A S 2019 http://dx.doi.org/10.1088/1755-1315/272/2/022021 https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022021/pdf https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022021 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 272, issue 2, page 022021 ISSN 1755-1307 1755-1315 journal-article 2019 crioppubl https://doi.org/10.1088/1755-1315/272/2/022021 2024-05-07T13:56:43Z Abstract This paper is devoted to the two methods of strong earthquakes prediction based on the analysis of seismic catalogues. The first method is well-known as LURR ( load-unload response ratio ) and involve the Coulomb-Mohr’s criteria and basic laws of linear theory of elasticity. Inherently, it allows identify attainment of the deformation process of the phase when medium response to loading can be no longer linear (pre-destruction). The second method so called as SRP has relation to self-organized processes theory. The both methods have proved the effectiveness on the Sakhalin but have used separately. The research is based on Sakhalin seismic catalog (M w > 2). We have considered retrospectively seismic event near the Cape Krillon in case of combination of two methods. Article in Journal/Newspaper Sakhalin IOP Publishing IOP Conference Series: Earth and Environmental Science 272 2 022021 |
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Abstract This paper is devoted to the two methods of strong earthquakes prediction based on the analysis of seismic catalogues. The first method is well-known as LURR ( load-unload response ratio ) and involve the Coulomb-Mohr’s criteria and basic laws of linear theory of elasticity. Inherently, it allows identify attainment of the deformation process of the phase when medium response to loading can be no longer linear (pre-destruction). The second method so called as SRP has relation to self-organized processes theory. The both methods have proved the effectiveness on the Sakhalin but have used separately. The research is based on Sakhalin seismic catalog (M w > 2). We have considered retrospectively seismic event near the Cape Krillon in case of combination of two methods. |
format |
Article in Journal/Newspaper |
author |
Zakupin, A S |
spellingShingle |
Zakupin, A S Medium-Term Prediction of Sakhalin’s Dangerous Seismic Events in the LURR and SRP Models |
author_facet |
Zakupin, A S |
author_sort |
Zakupin, A S |
title |
Medium-Term Prediction of Sakhalin’s Dangerous Seismic Events in the LURR and SRP Models |
title_short |
Medium-Term Prediction of Sakhalin’s Dangerous Seismic Events in the LURR and SRP Models |
title_full |
Medium-Term Prediction of Sakhalin’s Dangerous Seismic Events in the LURR and SRP Models |
title_fullStr |
Medium-Term Prediction of Sakhalin’s Dangerous Seismic Events in the LURR and SRP Models |
title_full_unstemmed |
Medium-Term Prediction of Sakhalin’s Dangerous Seismic Events in the LURR and SRP Models |
title_sort |
medium-term prediction of sakhalin’s dangerous seismic events in the lurr and srp models |
publisher |
IOP Publishing |
publishDate |
2019 |
url |
http://dx.doi.org/10.1088/1755-1315/272/2/022021 https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022021/pdf https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022021 |
genre |
Sakhalin |
genre_facet |
Sakhalin |
op_source |
IOP Conference Series: Earth and Environmental Science volume 272, issue 2, page 022021 ISSN 1755-1307 1755-1315 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1755-1315/272/2/022021 |
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IOP Conference Series: Earth and Environmental Science |
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272 |
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2 |
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022021 |
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1800737564331606016 |