Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 82533 10.2205/2024ES000906 jzbftu ОРИГИНАЛЬНЫЕ СТАТЬИ ORIGINAL ARTICLES ОРИГИНАЛЬНЫЕ СТАТЬИ Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island https://orcid.org/0000-0003-4656-6694 Собисевич Алексей Леонидович Sobisevich Aleksey Leonidovich alex@ifz.ru

доктор физико-математических наук;

doctor of physical and mathematical sciences;

 https://orcid.org/0000-0002-9157-8099 Стеблов Г. М. Steblov G. M. https://orcid.org/0000-0001-6742-3524 Агибалов А. О. Agibalov A. O. https://orcid.org/0000-0001-7489-2951 Алёшин Игорь Михайлович Aleshin Igor Mikhaylovich ima@ifz.ru https://orcid.org/0009-0002-4474-4899 Балашов Г. Р. Balashov G. R. https://orcid.org/0009-0003-5889-9477 Кондратов А. Д. Kondratov A. D. https://orcid.org/0000-0003-1037-6821 Макеев В. М. Makeev V. M. https://orcid.org/0000-0003-4626-8662 Передерин В. П. Perederin V. P. https://orcid.org/0000-0001-7670-3851 Передерин Ф. В. Perederin F. V. https://orcid.org/0000-0002-6182-114X Сенцов А. А. Sentsov A. A. https://orcid.org/0000-0003-0324-9795 Холодков Кирилл И. Kholodkov Kirill I. keir@ifz.ru Институт физики Земли им. О.Ю. Шмидта Российской академии наук Москва Россия Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences Moscow Russian Federation Институт физики Земли им. О.Ю. Шмидта Российской академии наук Россия Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences Russian Federation Институт теории прогноза землетрясений и математической геофизики Российской академии наук Россия Institute of Earthquake Prediction Theory and Mathematical Geophysics of the Russian Academy of Sciences Russian Federation Московский государственный университет имени М.В.Ломоносова Lomonosov Moscow State University Институт физики Земли им. О.Ю. Шмидта Российской академии наук Россия Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies Russian Federation Институт физики Земли им. О.Ю. Шмидта Российской академии наук Moscow Россия Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences Moscow Russian Federation Геофизический центр РАН Москва Россия Geophysical Center of the Russian Academy of Sciences Moscow Russian Federation Институт физики Земли им. О.Ю. Шмидта Российской академии наук Россия Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies Russian Federation Институт физики Земли им. О.Ю. Шмидта Российской академии наук Россия Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies Russian Federation Институт геоэкологии им. Е.М Сергеева РАН Россия Sergeev Institute of Environmental Geoscience of the Russian Academy of Sciences Russian Federation Институт физики Земли им. О.Ю. Шмидта Российской академии наук Россия Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies Russian Federation Институт физики Земли им. О.Ю. Шмидта Российской академии наук Россия Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies Russian Federation Институт физики Земли им. О.Ю. Шмидта Российской академии наук Россия Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies Russian Federation Институт физики Земли им. О.Ю. Шмидта Российской академии наук Россия Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies Russian Federation Институт прикладной геофизики имени Е. К. Фёдорова Россия Fedorov Institute of Applied Geophysics Russian Federation 06 05 2024 06 05 2024 24 2 1 8 05 03 2024 07 04 2024 https://rjes.ru/en/nauka/article/82533/view

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.

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.

 morphometric analysis of relief fuzzy logic neotectonics seismotectonics seismodomains seismic generation zone GNSS morphometric analysis of relief fuzzy logic neotectonics seismotectonics seismodomains seismic generation zone GNSS This study was conducted as part of the state assignment of the IPE RAS (#075-01030-23), the state assignment of the IEPT RAS (#075-00605-24-00), the state assignment of the GC RAS (#075-01349-23-00), the state assignment of the IGE RAS (#122022400105-9) and the research project “Modeling of the latest geodynamic processes affecting seismicity and fluid permeability of sedimentary strata” (MSU named after M. V. Lomonosov). This study was conducted as part of the state assignment of the IPE RAS (#075-01030-23), the state assignment of the IEPT RAS (#075-00605-24-00), the state assignment of the GC RAS (#075-01349-23-00), the state assignment of the IGE RAS (#122022400105-9) and the research project “Modeling of the latest geodynamic processes affecting seismicity and fluid permeability of sedimentary strata” (MSU named after M. V. Lomonosov).

Belyaev, A. M., A. E. Mikhnin, and M. V. Rogachev (2023), ROC analysis and logical regression in MedCalc, 36 pp., National Medical Research Center of Oncology named after N. N. Petrova (in Russian). Belyaev, A. M., A. E. Mikhnin, and M. V. Rogachev (2023), ROC analysis and logical regression in MedCalc, 36 pp., National Medical Research Center of Oncology named after N. N. Petrova (in Russian). Delone, B. N. (1934), On the emptiness of the sphere, Izvestiya Akademii Nauk SSSR, (4), 793–800 (in Russian). Delone, B. N. (1934), On the emptiness of the sphere, Izvestiya Akademii Nauk SSSR, (4), 793–800 (in Russian). Dzeboev, B. A., A. D. Gvishiani, I. O. Belov, V. N. Tatarinov, S. M. Agayan, and Yu. V. Barykina (2019), Strong-EarthquakeProne Areas Recognition Based on an Algorithm with a Single Pure Training Class: I. Altai-Sayan-Baikal Region, M ≥ 6.0, Physics of the Earth, (4), 33–47, https://doi.org/10.31857/S0002-33372019433-47 (in Russian). Dzeboev, B. A., A. D. Gvishiani, I. O. Belov, V. N. Tatarinov, S. M. Agayan, and Yu. V. Barykina (2019), Strong-EarthquakeProne Areas Recognition Based on an Algorithm with a Single Pure Training Class: I. Altai-Sayan-Baikal Region, M ≥ 6.0, Physics of the Earth, (4), 33–47, https://doi.org/10.31857/S0002-33372019433-47 (in Russian). Gridchina, M. S., G. M. Steblov, I. S. Vladimirova, and A. V. Basmanov (2023), Investigation of the Lithospheric Plate Boundary Zone within Sakhalin Island Based on Satellite Geodesy Data, Geophysical Research, 24(4), 81–96, https://doi.org/10.21455/gr2023.4-5 (in Russian). Gridchina, M. S., G. M. Steblov, I. S. Vladimirova, and A. V. Basmanov (2023), Investigation of the Lithospheric Plate Boundary Zone within Sakhalin Island Based on Satellite Geodesy Data, Geophysical Research, 24(4), 81–96, https://doi.org/10.21455/gr2023.4-5 (in Russian). Gvishiani, A. D., B. A. Dzeboev, S. M. Agayan, I. O. Belov, and J. I. Nikolova (2021), Fuzzy Sets of High Seismicity Intersections of Morphostructural Lineaments in the Caucasus and in the Altai-Sayan-Baikal Region, Journal of Volcanology and Seismology, 15(2), 73–79, https://doi.org/10.1134/s0742046321020032. Gvishiani, A. D., B. A. Dzeboev, S. M. Agayan, I. O. Belov, and J. I. Nikolova (2021), Fuzzy Sets of High Seismicity Intersections of Morphostructural Lineaments in the Caucasus and in the Altai-Sayan-Baikal Region, Journal of Volcanology and Seismology, 15(2), 73–79, https://doi.org/10.1134/s0742046321020032. Kostenko, N. P. (1999), Geomorphology, 379 pp., Moscow University, Moscow (in Russian). Kostenko, N. P. (1999), Geomorphology, 379 pp., Moscow University, Moscow (in Russian). Kulchinsky, R. G., E. P. Kharin, I. P. Shestopalov, A. D. Gvishiani, S. M. Agayan, and S. R. Bogoutdinov (2010), Fuzzy logic methods for geomagnetic events detections and analysis, Russian Journal of Earth Sciences, 11, RE4003, https://doi.org/10.2205/2009ES000371 (in Russian). Kulchinsky, R. G., E. P. Kharin, I. P. Shestopalov, A. D. Gvishiani, S. M. Agayan, and S. R. Bogoutdinov (2010), Fuzzy logic methods for geomagnetic events detections and analysis, Russian Journal of Earth Sciences, 11, RE4003, https://doi.org/10.2205/2009ES000371 (in Russian). Lehner, B., and G. Grill (2013), Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems, Hydrological Processes, 27(15), 2171–2186, https://doi.org/10.1002/hyp.9740. Lehner, B., and G. Grill (2013), Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems, Hydrological Processes, 27(15), 2171–2186, https://doi.org/10.1002/hyp.9740. Nechaev, Yu. V. (2010), Lineaments and tectonic fragmentation: remote sensing of the internal structure of the lithosphere, 215 pp., IPE RAS, Moscow (in Russian). Nechaev, Yu. V. (2010), Lineaments and tectonic fragmentation: remote sensing of the internal structure of the lithosphere, 215 pp., IPE RAS, Moscow (in Russian). Oskorbin, L. S. (1997), Seismogenic zones of Sakhalin and adjacent regions, Problems of seismic hazard of the Far Eastern region, pp. 157–178 (in Russian). Oskorbin, L. S. (1997), Seismogenic zones of Sakhalin and adjacent regions, Problems of seismic hazard of the Far Eastern region, pp. 157–178 (in Russian). RB-019-18 (2018), Safety Guide to the Use of Atomic Energy “Assessment of the Initial Seismicity of the Area and Site of a Nuclear Energy Use Object During Engineering Surveys and Research” (in Russian). RB-019-18 (2018), Safety Guide to the Use of Atomic Energy “Assessment of the Initial Seismicity of the Area and Site of a Nuclear Energy Use Object During Engineering Surveys and Research” (in Russian). Rebetsky, Yu. L., L. A. Sim, and A. V. Marinin (2017), From slip surfaces to tectonic stresses. Methods and algorithms, 234 pp., GEOS, Moscow (in Russian). Rebetsky, Yu. L., L. A. Sim, and A. V. Marinin (2017), From slip surfaces to tectonic stresses. Methods and algorithms, 234 pp., GEOS, Moscow (in Russian). Steblov, G. M., A. O. Agibalov, V. M. Makeev, V. P. Perederin, F. V. Perederin, and A. A. Sentsov (2023), On the problem of estimation of the maximum possible earthquake magnitudes on Sakhalin island by various methods, Problems of Engineering Seismology, 50(4), 25–35, https://doi.org/10.21455/vis2023.4-2 (in Russian). Steblov, G. M., A. O. Agibalov, V. M. Makeev, V. P. Perederin, F. V. Perederin, and A. A. Sentsov (2023), On the problem of estimation of the maximum possible earthquake magnitudes on Sakhalin island by various methods, Problems of Engineering Seismology, 50(4), 25–35, https://doi.org/10.21455/vis2023.4-2 (in Russian). Ulomov, V. I. (1987), Lattice model of focal seismicity and forecast of seismic hazard, Uzbekistan Geological Journal, (6), 20–25 (in Russian). Ulomov, V. I. (1987), Lattice model of focal seismicity and forecast of seismic hazard, Uzbekistan Geological Journal, (6), 20–25 (in Russian). United States Geological Survey (2023), Search Data Catalog, https://lpdaac.usgs.gov/product_search/?collections=MEaSUREs+SRTM&status=Operational&view=list, (date of access: 01.01.2023). United States Geological Survey (2023), Search Data Catalog, https://lpdaac.usgs.gov/product_search/?collections=MEaSUREs+SRTM&status=Operational&view=list, (date of access: 01.01.2023). Zelenin, E., D. Bachmanov, S. Garipova, V. Trifonov, and A. Kozhurin (2022), The Active Faults of Eurasia Database (AFEAD): the ontology and design behind the continental-scale dataset, Earth System Science Data, 14(10), 4489–4503, https://doi.org/10.5194/essd-14-4489-2022. Zelenin, E., D. Bachmanov, S. Garipova, V. Trifonov, and A. Kozhurin (2022), The Active Faults of Eurasia Database (AFEAD): the ontology and design behind the continental-scale dataset, Earth System Science Data, 14(10), 4489–4503, https://doi.org/10.5194/essd-14-4489-2022. Zimmermann, H.-J. (2001), Fuzzy Set Theory - and Its Applications, 435 pp., Springer Netherlands, https://doi.org/10.1007/978-94-010-0646-0. Zimmermann, H.-J. (2001), Fuzzy Set Theory - and Its Applications, 435 pp., Springer Netherlands, https://doi.org/10.1007/978-94-010-0646-0.