Literature DB >> 12636655

Long-range correlations in the electric signals that precede rupture: further investigations.

P A Varotsos1, N V Sarlis, E S Skordas.   

Abstract

The correlations within the time series of the seismic electric signal (SES) activities have been studied in a previous paper [P. Varotsos, N. Sarlis, and E. Skordas, Phys. Rev. E 66, 011902 (2002)]. Here, we analyze the time series of successive high- and low-level states' durations. The existence of correlation between the states is investigated by means of Hurst and detrended fluctuation analysis (DFA). The multifractal DFA (MF-DFA) is also employed. The results point to a stronger correlation, and hence longer memory, in the series of the high-level states. Furthermore, an analysis in the "natural" time domain reveals that certain power spectrum characteristics seem to distinguish SES activities from "artificial" (man-made) electric noises. More precisely, for natural frequencies 0<phi<0.5, the curves of the SES activities and artificial noises lie above and below, respectively, that of the "uniform" distribution (UD). A classification of these two types of electric signals (SES activities, artificial noises), cannot be achieved on the basis of the values of the power-law exponents alone, if the Hurst analysis, DFA, and MF-DFA are applied to the original time series. The latter two methods, however, seem to allow a distinction between the SES activities and artificial noises when treating them (not in conventional the time frame, but) in the natural time domain. To further test the techniques, a time series produced by another system was examined. We chose a signal of ion current fluctuations in membrane channels (ICFMCs). The following conclusions, among others, have been obtained: First, the power spectrum analysis in the natural time domain shows that the ICFMC curve almost coincides (in the range 0<phi<0.5) with that of the UD, and hence ICFMC lies just in the boundary between the SES activities and artificial noises. Second, MF-DFA indicates monofractality for the ICFMCs with a generalized Hurst exponent h=0.84+/-0.03 in the range 7-70 ms.

Entities:  

Year:  2003        PMID: 12636655     DOI: 10.1103/PhysRevE.67.021109

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  15 in total

1.  Phase transitions in the first-passage time of scale-invariant correlated processes.

Authors:  Concepción Carretero-Campos; Pedro Bernaola-Galván; Plamen Ch Ivanov; Pedro Carpena
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-01-23

2.  Effect of extreme data loss on long-range correlated and anticorrelated signals quantified by detrended fluctuation analysis.

Authors:  Qianli D Y Ma; Ronny P Bartsch; Pedro Bernaola-Galván; Mitsuru Yoneyama; Plamen Ch Ivanov
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-03-02

3.  Natural time analysis of critical phenomena.

Authors:  Panayiotis Varotsos; Nicholas V Sarlis; Efthimios S Skordas; Seiya Uyeda; Masashi Kamogawa
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-23       Impact factor: 11.205

4.  Size effects on correlation measures.

Authors:  Ana V Coronado; Pedro Carpena
Journal:  J Biol Phys       Date:  2005-01       Impact factor: 1.365

5.  Natural Time Analysis: The Area under the Receiver Operating Characteristic Curve of the Order Parameter Fluctuations Minima Preceding Major Earthquakes.

Authors:  Nicholas V Sarlis; Efthimios S Skordas; Stavros-Richard G Christopoulos; Panayiotis A Varotsos
Journal:  Entropy (Basel)       Date:  2020-05-21       Impact factor: 2.524

6.  Natural Time Analysis of Seismicity within the Mexican Flat Slab before the M7.1 Earthquake on 19 September 2017.

Authors:  E Leticia Flores-Márquez; Alejandro Ramírez-Rojas; Jennifer Perez-Oregon; N V Sarlis; E S Skordas; P A Varotsos
Journal:  Entropy (Basel)       Date:  2020-06-30       Impact factor: 2.524

7.  Tsallis Entropy Index q and the Complexity Measure of Seismicity in Natural Time under Time Reversal before the M9 Tohoku Earthquake in 2011.

Authors:  Panayiotis A Varotsos; Nicholas V Sarlis; Efthimios S Skordas
Journal:  Entropy (Basel)       Date:  2018-10-02       Impact factor: 2.524

8.  Possible relationship between Seismic Electric Signals (SES) lead time and earthquake stress drop.

Authors:  Elizabeth Dologlou
Journal:  Proc Jpn Acad Ser B Phys Biol Sci       Date:  2008       Impact factor: 3.493

9.  Comment on the "Ground water chemistry changes before major earthquakes and possible effects on animals", by R. A. Grant, T. Halliday, W. P. Balderer, F. Leuenberger, M. Newcomer, G. Cyr and F. T. Freund. Int. J. Environ. Res. Public Health, 2011, 8, 1936-1956.

Authors:  Vassiliki Katsika-Tsigourakou
Journal:  Int J Environ Res Public Health       Date:  2012-07-02       Impact factor: 3.390

10.  Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique.

Authors:  Todd Zorick; Mark A Mandelkern
Journal:  PLoS One       Date:  2013-07-03       Impact factor: 3.240

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