RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 19, ES6005, doi:10.2205/2019ES000691, 2019

Table 1. Earthquakes with $M \geq 6.0$ in the Caucasus [Kondorskaya et al., 1982; Shebalin and Tatevosian, 1997; Godzikovskaya, 1999]
\numero Date $\varphi$, ° $\lambda$, ° $M$ \numero Date $\varphi$, ° $\lambda$, ° $M$
1. 427 40.5 46.5 6.5 31. 11.06.1859 40.7 48.5 6.1
2. 21.07.735 39.5 45.4 7.0 32. 24.05.1861 40.0 46.6 6.6
3. 742 42.4 44.9 6.4 33. 19.12.1862 39.7 47.9 6.0
4. 27.12.893 40.0 44.6 6.4 34. 30.12.1863 38.2 48.6 6.1
5. 23.04.1088 41.4 43.2 6.0 35. 23.07.1867 40.0 47.0 6.3
6. 1122 40.3 46.3 6.1 36. 25.02.1868 41.0 43.0 6.2
7. 28.11.1132 40.5 43.5 6.0 37. 18.03.1868 40.2 46.8 6.3
8. 30.09.1139 40.3 46.2 7.7 38. 28.01.1872 40.6 48.7 6.0
9. 07.1192 40.7 48.6 6.1 39. 01.11.1875 39.8 41.1 6.1
10.10.1235 40.4 47.0 6.3 40. 26.06.1889 42.5 48.0 6.1
11.17.04.1283 41.6 43.3 6.8 41. 22.09.1896 41.6 45.0 6.3
12.1308 39.4 46.2 6.1 42. 31.12.1899 41.55 43.6 6.3
13.1350 42.9 43.1 6.5 43. 13.02.1902 40.7 48.5 6.9
14.29.11.1406 39.7 46.5 7.0 44. 21.10.1905 43.3 41.7 6.4
15. 1605 40.5 43.3 6.1 45. 12.10.1912 41.5 44.2 6.3
16. 1622 38.5 46.2 6.2 46. 20.02.1920 41.9 44.0 6.2
17. 1660 40.0 41.3 6.5 47. 19.02.1924 39.4 48.6 6.6
18.14.01.1668 41.0 48.0 7.8 48. 27.04.1931 39.4 46.1 6.2
19.11.01.1671 41.5 48.7 6.2 49. 01.05.1935 40.6 43.7 6.2
20.04.06.1679 40.2 44.7 6.4 50. 07.05.1940 41.7 43.8 6.0
21. 1688 40.3 41.5 6.5 51. 29.06.1948 41.9 46.8 6.1
22.08.07.1718 40.3 41.5 6.5 52. 16.07.1963 43.2 41.7 6.4
23.05.08.1742 42.1 45.6 6.8 53. 14.05.1970 43.0 47.09 6.6
24.10.1779 40.3 41.5 6.5 54. 28.07.1976 43.17 45.6 6.2
25.20.10.1827 40.7 44.9 6.5 55. 30.10.1983 40.35 42.18 6.8
26.09.03.1830 43.1 46.7 6.8 56. 07.12.1988 40.86 44.17 6.9
27.09.04.1851 40.0 47.3 6.1 57. 29.04.1991 42.45 43.67 7.0
28.24.07.1852 39.9 41.3 6.0 58. 15.06.1991 42.46 44.01 6.1
29.21.01.1859 40.0 41.7 6.0 59. 23.10.1992 42.59 45.1 6.5
30.02.06.1859 40.0 41.3 6.4

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Citation: Dzeboev B. A., A. A. Soloviev, B. V. Dzeranov, J. K. Karapetyan, N. A. Sergeeva (2019), Strong earthquake-prone areas recognition based on the algorithm with a single pure training class. II. Caucasus, $M \geq $ 6.0. Variable EPA method, Russ. J. Earth Sci., 19, ES6005, doi:10.2205/2019ES000691.
 

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