Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island
An algorithm for identifying seismic generation zones or “seismic domains” using fuzzy logic has been developed and tested on the island of Sakhalin. Initial data were obtained from diagrams of the distribution of “weak” zones, relief elevation distribution skewness, and magnitude of recent area def...
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, The Geophysical Center
2024-05-01
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| Series: | Russian Journal of Earth Sciences |
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| Online Access: | http://doi.org/10.2205/2024ES000906 |
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| author | Sobisevich Aleksey Steblov G. M. Agibalov A. O. Aleshin Igor Balashov G. R. Kondratov A. D. Makeev V. M. Perederin V. P. Perederin F. V. Sentsov A. Kholodkov Kirill I. |
| author_facet | Sobisevich Aleksey Steblov G. M. Agibalov A. O. Aleshin Igor Balashov G. R. Kondratov A. D. Makeev V. M. Perederin V. P. Perederin F. V. Sentsov A. Kholodkov Kirill I. |
| author_sort | Sobisevich Aleksey |
| collection | DOAJ |
| description | An algorithm for identifying seismic generation zones or “seismic domains” using fuzzy logic has been developed and tested on the island of Sakhalin. Initial data were obtained from diagrams of the distribution of “weak” zones, relief elevation distribution skewness, and magnitude of recent area deformation for one year. These data were processed using a γ-operator in fuzzy logic with γ = 0.9, which allowed us to identify areas with high seismic activity. The areas where these active areas intersect with zones with increased compressive stress values, as determined by computer modeling, were considered to be seismic zones. It was shown that, if there are not enough source materials available, it is possible to exclude information about the recent deformation field from consideration and use an assumed grid of active faults for computer modeling. This approach may be useful when analyzing areas that have not been studied well. |
| format | Article |
| id | doaj-art-868a1fe0ec5e41569dd71dfdf967a1d3 |
| institution | DOAJ |
| issn | 1681-1208 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Russian Academy of Sciences, The Geophysical Center |
| record_format | Article |
| series | Russian Journal of Earth Sciences |
| spelling | doaj-art-868a1fe0ec5e41569dd71dfdf967a1d32025-08-20T03:09:24ZengRussian Academy of Sciences, The Geophysical CenterRussian Journal of Earth Sciences1681-12082024-05-012421810.2205/2024ES000906Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin IslandSobisevich Aleksey0https://orcid.org/0000-0003-4656-6694Steblov G. M.1https://orcid.org/0000-0002-9157-8099Agibalov A. O.2https://orcid.org/0000-0001-6742-3524Aleshin Igor3https://orcid.org/0000-0001-7489-2951Balashov G. R.4https://orcid.org/0009-0002-4474-4899Kondratov A. D.5https://orcid.org/0009-0003-5889-9477Makeev V. M.6https://orcid.org/0000-0003-1037-6821Perederin V. P.7https://orcid.org/0000-0003-4626-8662Perederin F. V.8https://orcid.org/0000-0001-7670-3851Sentsov A.9https://orcid.org/0000-0002-6182-114XKholodkov Kirill I.10https://orcid.org/0000-0003-0324-9795Schmidt Institute of Physics of the Earth of the Russian Academy of SciencesSchmidt Institute of Physics of the Earth of the Russian Academy of SciencesLomonosov Moscow State UniversitySchmidt Institute of the Physics of the Earth Russian Academy of ScienciesSchmidt Institute of the Physics of the Earth Russian Academy of ScienciesSchmidt Institute of the Physics of the Earth Russian Academy of ScienciesSergeev Institute of Environmental Geoscience of the Russian Academy of SciencesSchmidt Institute of the Physics of the Earth Russian Academy of ScienciesSchmidt Institute of the Physics of the Earth Russian Academy of ScienciesSchmidt Institute of the Physics of the Earth Russian Academy of ScienciesSchmidt Institute of the Physics of the Earth Russian Academy of ScienciesAn algorithm for identifying seismic generation zones or “seismic domains” using fuzzy logic has been developed and tested on the island of Sakhalin. Initial data were obtained from diagrams of the distribution of “weak” zones, relief elevation distribution skewness, and magnitude of recent area deformation for one year. These data were processed using a γ-operator in fuzzy logic with γ = 0.9, which allowed us to identify areas with high seismic activity. The areas where these active areas intersect with zones with increased compressive stress values, as determined by computer modeling, were considered to be seismic zones. It was shown that, if there are not enough source materials available, it is possible to exclude information about the recent deformation field from consideration and use an assumed grid of active faults for computer modeling. This approach may be useful when analyzing areas that have not been studied well.http://doi.org/10.2205/2024ES000906morphometric analysis of relief fuzzy logic neotectonics seismotectonics seismodomains seismic generation zone GNSS |
| spellingShingle | Sobisevich Aleksey Steblov G. M. Agibalov A. O. Aleshin Igor Balashov G. R. Kondratov A. D. Makeev V. M. Perederin V. P. Perederin F. V. Sentsov A. Kholodkov Kirill I. Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island Russian Journal of Earth Sciences morphometric analysis of relief fuzzy logic neotectonics seismotectonics seismodomains seismic generation zone GNSS |
| title | Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island |
| title_full | Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island |
| title_fullStr | Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island |
| title_full_unstemmed | Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island |
| title_short | Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island |
| title_sort | seismic domain identification algorithm using fuzzy logic methods with combined geological and geomorphological data for the case of sakhalin island |
| topic | morphometric analysis of relief fuzzy logic neotectonics seismotectonics seismodomains seismic generation zone GNSS |
| url | http://doi.org/10.2205/2024ES000906 |
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