GIS-Oriented Database on Seismic Hazard Assessment for Caucasian and Crimean Regions

Strong earthquake-prone areas recognition based on the algorithm with a single pure training class. II. Caucasus, {\itshape {M}} $ \geq $ 6.0. Variable EPA method

“…The entire set of available geological-geophysical and geomorphological characteristics was used in [Gvishiani et al, 2017a]. In our work a preliminary test of the informativity of the characteristics in the context of the separation of recognition objects into high and low seismicity classes has been performed following to [Soloviev et al, 2016]. The recognition result by the "Barrier-3" algorithm is compared with the result obtained by " Cora-3" [Soloviev et al, 2016].…”

“…Figure 1. Scheme of morphostructural zoning (thick lines -lineaments of the I rank, medium -II rank, thin -III rank, solid lines -longitudinal lineaments, dashed -transverse lineaments [Soloviev et al, 2013]), earthquake-prone zones with ≥ 6.0 (empty ellipses with blue borders -zones recognized by the "Barrier-3" algorithm, white ellipses -"Cora-3", white ellipses with blue borders -both algorithms) and the epicenters of crustal earthquakes with ≥ 6.0 occurred in the Caucasus (Table 1 and Table 3) before 1900 (brown circles), in 1900-1992 (red circles), and after 1992 (green circles).…”

“…In papers [Gvishiani et al, 1986[Gvishiani et al, , 1987bSoloviev et al, 2013Soloviev et al, , 2016, a scheme of the morphostructural leneaments has been constructed for the Caucasus. The scheme highlights 237 intersections of the morphostructural lineaments (Figure 1).…”

“…Keilis-Borok [Gelfand et al, 1972, 1973, 1974, 1976. This approach was later named EPA (Earthquake-Prone Areas recognition) [Gvishiani et al, 1988;Kossobokov and Soloviev, 2018;Soloviev et al, 2014]. It is based on the hypothesis that the epicenters of rather strong earthquakes are confined to the intersections of the morphostructural lineaments (morphostructural nodes) but not to all of them.…”

“…A prob-lem (EPA problem), which is solved, is to determine in the region under consideration all highseismicity nodes where strong earthquakes may occur. For more than 40 years, the EPA approach has been successfully used for recognition of earthquake-prone areas in various mountain countries [Gvishiani et al, 1988;Soloviev et al, 2014]. Its detailed description, the ideas embodied in it and the ways for its development are given in [Gvishiani et al, 1988;Kossobokov and Soloviev, 2018;Soloviev et al, 2014].…”