Geodesic
Detection precursory anomalies of zhupanovsky earthquake on january 30, 2016 with $M_w$= 7.2 and a depth of focus 171 km (Kamchatka) by eigenoscopy method
Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 4 (2017), pp. 109-120 Cet article a éte moissonné depuis la source Math-Net.Ru

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This paper describes application of the eigenoscopy technique for analyzing the collective behavior of soil radon time series in order to detect the precursory anomalies before the deep Zhupanovsky earthquake with M = 7.2. Eigenoscope (from English .eigenvector.) or analyzer of eigenvectors and signal components. is a virtual device that allows us to detect the reference points of collective behavior in multidimensional time series. The multidimensional time series (01.08.2015-17.02.2016), obtained at the network of subsoil radon monitoring stations of the Petropavlovsk-Kamchatsky geodynamic test area, are considered. Before the deep earthquake with M = 7.2, which occurred at a distance of 120 km from the registration point, a reference point in the dynamics of soil radon, which can be considered as a precursory anomaly, was confidently detected with the help of the eigenoscopy method.
Mots-clés : soil radon
Keywords: eigenoscopy, reference point, precursory anomaly, earthquake, forecast. 
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     author = {P. P. Firstov and V. V. Isakevich and D. V. Isakevich and D. I. Budilov and E. O. Makarov and L. V. Grunskaya},
     title = {Detection precursory anomalies of zhupanovsky earthquake on january 30, 2016 with $M_w$= 7.2 and a depth of focus 171 km {(Kamchatka)} by eigenoscopy method},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
     pages = {109--120},
     year = {2017},
     number = {4},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VKAM_2017_4_a11/}
}
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P. P. Firstov; V. V. Isakevich; D. V. Isakevich; D. I. Budilov; E. O. Makarov; L. V. Grunskaya. Detection precursory anomalies of zhupanovsky earthquake on january 30, 2016 with $M_w$= 7.2 and a depth of focus 171 km (Kamchatka) by eigenoscopy method. Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 4 (2017), pp. 109-120. http://geodesic.mathdoc.fr/item/VKAM_2017_4_a11/

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