2016
DOI: 10.1007/s40328-016-0181-5
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Long-range coherence between seismic noise properties in Japan and California before and after Tohoku mega-earthquake

Abstract: The coherences between daily time series of four low-frequency seismic noise properties which were calculated for 78 broadband seismic stations of the network F-net in Japan and 81 broadband seismic stations in California for 13 years of observation, 2003-2015, is investigated. The studied time interval includes Tohoku mega-earthquake, M9, on March 11, 2011. The chosen noise properties are the following: minimum normalized entropy of squared wavelet coefficients, multifractal singularity spectrum support width… Show more

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Cited by 10 publications
(5 citation statements)
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“…We assume that the noise is concentrated mainly in variations at the first highest frequency level of detail. Seismic noise entropy (1) was used in (Lyubushin, 2014;Lyubushin, 2015;Lyubushin, 2017;Lyubushin, 2018;Lyubushin, 2020a;Lyubushin, 2020b;Lyubushin, 2020c;Lyubushin, 2021a;Lyubushin, 2021b;Lyubushin, 2021c) to analyze seismic noise for different regions of the Earth and at the global level as a standalone tool. By its design, entropy (1) is also multiscale, like the entropy proposed in (Costa et al, 2003;Costa et al, 2005) for studying the properties of random signals.…”
Section: Seismic Noise Statisticsmentioning
confidence: 99%
“…We assume that the noise is concentrated mainly in variations at the first highest frequency level of detail. Seismic noise entropy (1) was used in (Lyubushin, 2014;Lyubushin, 2015;Lyubushin, 2017;Lyubushin, 2018;Lyubushin, 2020a;Lyubushin, 2020b;Lyubushin, 2020c;Lyubushin, 2021a;Lyubushin, 2021b;Lyubushin, 2021c) to analyze seismic noise for different regions of the Earth and at the global level as a standalone tool. By its design, entropy (1) is also multiscale, like the entropy proposed in (Costa et al, 2003;Costa et al, 2005) for studying the properties of random signals.…”
Section: Seismic Noise Statisticsmentioning
confidence: 99%
“…The preparation processes for strong earthquakes are accompanied by changes in the statistical properties of seismic noise (Lyubushin, 2012(Lyubushin, , 2013(Lyubushin, , 2015(Lyubushin, , 2017(Lyubushin, , 2018(Lyubushin, , 2020c. As shown in (Berger et al, 2004, Fukao et al, 2010, Koper and de Foy, 2008, Koper et al, 2010Ardhuin et al, 2011;Aster et al, 2008;Friedrich et al 1998;Grevemeyer et al, 2000;Kobayashi, Nishida, 1998;Nishida et al, 2008, Nishida et al, 2009, Stehly et al, 2006Rhie, Romanowicz 2004Tanimoto, 2001Tanimoto, , 2005, the main source of energy of seismic noise is ocean waves affecting the shelf and coast, as well as variations in atmospheric pressure on the Earth's surface arising from the movement of cyclones.…”
Section: Introductionmentioning
confidence: 99%
“…Seismic noise entropy (1) was used in [12][13][14][15][16][17][18][19]23,24] to analyze seismic noise for different regions of the Earth and at the global level as a standalone tool. By its design, entropy (1) is also multiscale, like the entropy proposed in [25,26] for studying the properties of random signals.…”
Section: Seismic Noise Statisticsmentioning
confidence: 99%