2016
DOI: 10.1016/j.jappgeo.2016.03.002
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Multi-spectral detection of statistically significant components in pre-seismic electromagnetic emissions related with Athens 1999, M=5.9 earthquake

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Cited by 7 publications
(5 citation statements)
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“…At these CLs the MTM spectrum indicates spectral features at extra long-scales ( > 30 days), diurnal (24h) and semidiurnal (12h) terms are statistically significant, whereas spectral features at long-scales (2-10 days) are not statistical significant at the 95% CL based on a AR(1)+WH null. Our result is partially in agreement with the findings in [20]. Additionally, we find that most spectral features (except those at diurnal and semidiurnal hours) are not statistical significant in the MTM spectrum after applying the Bonferroni correction [22] by dividing the significance level (e.g., α = 0.05) by the number of tested data as in [7].…”
Section: Applications To Real Data a Electromagnetic Emission (Eme) Time Seriessupporting
confidence: 92%
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“…At these CLs the MTM spectrum indicates spectral features at extra long-scales ( > 30 days), diurnal (24h) and semidiurnal (12h) terms are statistically significant, whereas spectral features at long-scales (2-10 days) are not statistical significant at the 95% CL based on a AR(1)+WH null. Our result is partially in agreement with the findings in [20]. Additionally, we find that most spectral features (except those at diurnal and semidiurnal hours) are not statistical significant in the MTM spectrum after applying the Bonferroni correction [22] by dividing the significance level (e.g., α = 0.05) by the number of tested data as in [7].…”
Section: Applications To Real Data a Electromagnetic Emission (Eme) Time Seriessupporting
confidence: 92%
“…1(c) shows that extra long-scales variability modes (> 30 days) and oscillatory modes at 3-6 days vanish in the high activity epoch (98.5 ≤ DN ≤ 100.5) in the areawise significance test (α = 0.005), which are based on the area and shape of the significant regions proposed by Maraun et al [15] but modified here by just using the chi-square test (for details, see Equation (18) in TC98) but not the MC simulations to reduce the computation cost. In particular, oscillatory terms between 8 and 10 days become significant at about day number DN = 97, and not at DN = 76 as charmed by Kalimeris et al [20]. We also find that oscillatory terms between 8 and 10 days remain in the high activity scale for approximately 3 days after the main seismic shock occurred at DN = 100.498.…”
Section: Applications To Real Data a Electromagnetic Emission (Eme) Time Seriessupporting
confidence: 80%
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“…The possible relation of the field-observed fracture-induced electromagnetic emissions (EME) in the frequency bands of MHz and kHz, associated with shallow EQs with magnitude 6 or larger that oc-curred inland or near the coast, has been examined in a series of publications in order to contribute to a better understanding of the underlying processes (e.g. Eftaxias et al, 2001Eftaxias et al, , 2004Eftaxias et al, , 2008Kapiris et al, 2004;Karamanos et al, 2006;Papadimitriou et al, 2008;Contoyiannis et al, 2005Contoyiannis et al, , 2013Potirakis et al, 2011Potirakis et al, , 2012aPotirakis et al, , b, c, 2013Potirakis et al, , 2015Minadakis et al, 2012a, b;Balasis et al, 2011Balasis et al, , 2013Donner et al, 2015;Kalimeris et al, 2016). Additionally, a four-stage model for the preparation of an EQ by means of its observable EM activity has been recently put forward Contoyiannis et al, 2015, and references therein).…”
Section: Introductionmentioning
confidence: 99%