Moskva, Russian Federation
Institute of Earthquake Prediction Theory and Mathematical Geophysics of the Russian Academy of Sciences
Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies
Geophysical Center of the Russian Academy of Sciences
Fedorov Institute of Applied Geophysics
Moscow, Moscow, Russian Federation
Russian Federation
Fedorov Institute of Applied Geophysics
Russian Federation
UDK 55 Геология. Геологические и геофизические науки
GRNTI 37.00 ГЕОФИЗИКА
GRNTI 38.00 ГЕОЛОГИЯ
OKSO 05.00.00 Науки о Земле
BBK 26 Науки о Земле
TBK 63 Науки о Земле. Экология
BISAC SCI SCIENCE
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
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