Seismic noise wavelet-based entropy in Southern California

Lyubushin, A. A.

doi:10.1007/s10950-020-09950-3

Cited by 16 publications

(27 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The minimum normalized entropy E n was suggested in (Lyubushin, 2012) and was used for investigating seismic noise properties in (Lyubushin, 2013;Lyubushin, 2014;Lyubushin 2020a;Lyubushin 2020b;Lyubushin 2020c). The used entropy in Eq.…”

Section: Minimum Wavelet-based Normalized Entropymentioning

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%

“…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. In (Lyubushin, 2012;Lyubushin, 2013;Lyubushin, 2018;Lyubushin, 2020c), changes in the temporal and spatial structure of seismic noise in Japan and California, which are precursors of strong earthquakes, are identified. The article investigates the properties of seismic noise entropy from continuous records of the global network of broadband seismic stations for 23 years, 1997-2019.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Global Seismic Noise Entropy

Lyubushin

2020

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

Data of continuous records of low-frequency (periods from 2 to 1,000 min) seismic noise on a global network of 229 broadband stations located around the world for 23 years, 1997–2019, are analyzed. The daily values of the entropy of the distribution of the squares of the orthogonal wavelet coefficients are considered as an informative characteristic of noise. An auxiliary network of 50 reference points is introduced, the positions of which are determined from the clustering of station positions. For each reference point, a time series is calculated, consisting of 8,400 samples with a time step of 1 day, the values of which are determined as the medians of the entropy values at the five nearest stations that are operable during the given day. The introduction of a system of reference points makes it possible to estimate temporal and spatial changes in the correlation of noise entropy values around the world. Estimation in an annual sliding time window revealed a time interval from mid-2002 to mid-2003, when there was an abrupt change in the properties of global noise and an intensive increase in both average entropy correlations and spatial correlation scales began. This trend continues until the end of 2019, and it is interpreted as a feature of seismic noise which is connected with an increase in the intensity of the strongest earthquakes, which began with the Sumatran mega-earthquake of December 26, 2004 (M = 9.3). The values of the correlation function between the logarithm of the released seismic energy and the bursts of coherence between length of day and the entropy of seismic noise in the annual time window indicate the delay in the release of seismic energy relative to the coherence maxima. This lag is interpreted as a manifestation of the triggering effect of the irregular rotation of the Earth on the increase in global seismic hazard.

show abstract

Section: Minimum Wavelet-based Normalized Entropymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Global Seismic Noise Entropy

Lyubushin

2020

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The minimum entropy (1) was proposed in [ 11 ]. In works [ 3 , 5 , 6 , 11 , 12 , 13 ], it was used to analyze the predictive properties of seismic noise. Entropy (1) has common features with the multiscale entropy considered in [ 14 , 15 ].…”

Section: Description Of Seismic Noise Propertiesmentioning

confidence: 99%

“…In works [ 1 , 2 , 3 , 4 , 5 , 6 ], it was shown that the processes of earthquake preparation are preceded by certain changes in the statistical structure of seismic noise. The main changes are in the simplification of noise, namely in the growth of entropy and loss of multifractality.…”

Section: Introductionmentioning

confidence: 99%

Low-Frequency Seismic Noise Properties in the Japanese Islands

Lyubushin

2021

Entropy

Self Cite

View full text Add to dashboard Cite

The records of seismic noise in Japan for the period of 1997–2020, which includes the Tohoku seismic catastrophe on March 11, 2011, are considered. The following properties of noise are analyzed: The wavelet-based Donoho–Johnston index, the singularity spectrum support width, and the entropy of the wavelet coefficients. The question of whether precursors of strong earthquakes can be formulated on their basis is investigated. Attention is paid to the time interval after the Tohoku mega-earthquake to the trends in the mean properties of low-frequency seismic noise, which reflect the constant simplification of the statistical structure of seismic vibrations. Estimates of two-dimensional probability densities of extreme values are presented, which highlight the places in which extreme values of seismic noise properties are most often realized. The estimates of the probability densities of extreme values coincide with each other and have a maximum in the region: 30°N ≤ Lat ≤ 34°N, 136°E ≤ Lon ≤ 140°E. The main conclusions of the conducted studies are that the preparation of a strong earthquake is accompanied by a simplification of the structure of seismic noise. It is shown that bursts of coherence between the time series of the day length and the noise properties within annual time window precede bursts of released seismic energy. The value of the lag in the release of seismic energy relative to bursts of coherence is about 1.5 years, which can be used to declare a time interval of high seismic hazard after reaching the peak of coherence.

show abstract

Global Seismic Noise Wavelet-based Measure of Nonstationarity

Lyubushin

2021

Pure Appl. Geophys.

View full text Add to dashboard Cite

Seismic noise wavelet-based entropy in Southern California

Cited by 16 publications

References 37 publications

Global Seismic Noise Entropy

Global Seismic Noise Entropy

Low-Frequency Seismic Noise Properties in the Japanese Islands

Global Seismic Noise Wavelet-based Measure of Nonstationarity

Contact Info

Product

Resources

About