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Multifractal detrended fluctuation analysis of co-seismic electromagnetic signals from a magnetotelluric monitoring station in Northern Algeria.

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Title: Multifractal detrended fluctuation analysis of co-seismic electromagnetic signals from a magnetotelluric monitoring station in Northern Algeria.
Authors: Kasdi, Ahmed Seddik1 (AUTHOR) kasdi.ahmedseddik@gmail.com
Source: Journal of Earth System Science. Jun2026, Vol. 135 Issue 2, p1-16. 16p.
Subject Terms: *Magnetotelluric prospecting, *Fractals, *Wavelet transforms, *Digital filters (Mathematics), *Time series analysis, *Scaling laws (Statistical physics)
Geographic Terms: Algeria
Abstract: The present study employs multifractal detrended fluctuation analysis to investigate the multifractal properties of the earthquake-related electromagnetic fields. The electromagnetic data were collected at the Médéa Geomagnetic Observatory in Algeria, where continuous magnetotelluric measurements have been conducted since late 2018. The recorded time series were pre-processed to improve the detection of seismo-electromagnetic signals associated with the passage of seismic waves, known as co-seismic electromagnetic signals. By using two techniques, the continuous wavelet transforms and digital filtering, co-seismic electromagnetic signals were identified within a frequency range extending from 1 Hz to higher frequencies. The comparison using multifractal detrended fluctuation analysis between raw and filtered co-seismic electromagnetic time series revealed significant differences in scaling behaviour and fractal properties. High-pass filtering effectively extracted co-seismic features by suppressing low-frequency components, underscoring the critical role of low-frequency dynamics in their multifractal structure. Furthermore, the multifractal analysis results reveal that the co-seismic electromagnetic signals related to four earthquakes (ML ≥ 4) exhibit distinct multifractal properties, characterized by two scaling regimes separated by a crossover. The generalized Hurst exponents decrease monotonically with increasing statistical moments (q) for the co-seismic electromagnetic signal, reflecting a spectrum of intertwined fractal structures. The multifractal spectra of the co-seismic electromagnetic signals are smooth, indicating strong multifractality. The calculated width parameter of the multifractal spectra is higher for the co-seismic electromagnetic signals, confirming their higher degree of multifractality. This multifractal analysis underlines the inherent complexity of earthquake-related electromagnetic signals and underscores the utility of multifractal analysis as a robust tool for characterizing seismo-electromagnetic signals. Research highlights: MF-DFA reveals multifractal properties of earthquake-related electromagnetic signal. Magnetotelluric measurements used to study the seismo-electromagnetic signal. Using robust techniques to extract the co-seismic electromagnetic signal. Co-seismic electromagnetic signals exhibit strong multifractality. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193197839
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  Label: Title
  Group: Ti
  Data: Multifractal detrended fluctuation analysis of co-seismic electromagnetic signals from a magnetotelluric monitoring station in Northern Algeria.
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  Data: <searchLink fieldCode="AR" term="%22Kasdi%2C+Ahmed+Seddik%22">Kasdi, Ahmed Seddik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kasdi.ahmedseddik@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Earth+System+Science%22">Journal of Earth System Science</searchLink>. Jun2026, Vol. 135 Issue 2, p1-16. 16p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Magnetotelluric+prospecting%22">Magnetotelluric prospecting</searchLink><br />*<searchLink fieldCode="DE" term="%22Fractals%22">Fractals</searchLink><br />*<searchLink fieldCode="DE" term="%22Wavelet+transforms%22">Wavelet transforms</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+filters+%28Mathematics%29%22">Digital filters (Mathematics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Scaling+laws+%28Statistical+physics%29%22">Scaling laws (Statistical physics)</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Algeria%22">Algeria</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The present study employs multifractal detrended fluctuation analysis to investigate the multifractal properties of the earthquake-related electromagnetic fields. The electromagnetic data were collected at the Médéa Geomagnetic Observatory in Algeria, where continuous magnetotelluric measurements have been conducted since late 2018. The recorded time series were pre-processed to improve the detection of seismo-electromagnetic signals associated with the passage of seismic waves, known as co-seismic electromagnetic signals. By using two techniques, the continuous wavelet transforms and digital filtering, co-seismic electromagnetic signals were identified within a frequency range extending from 1 Hz to higher frequencies. The comparison using multifractal detrended fluctuation analysis between raw and filtered co-seismic electromagnetic time series revealed significant differences in scaling behaviour and fractal properties. High-pass filtering effectively extracted co-seismic features by suppressing low-frequency components, underscoring the critical role of low-frequency dynamics in their multifractal structure. Furthermore, the multifractal analysis results reveal that the co-seismic electromagnetic signals related to four earthquakes (ML ≥ 4) exhibit distinct multifractal properties, characterized by two scaling regimes separated by a crossover. The generalized Hurst exponents decrease monotonically with increasing statistical moments (q) for the co-seismic electromagnetic signal, reflecting a spectrum of intertwined fractal structures. The multifractal spectra of the co-seismic electromagnetic signals are smooth, indicating strong multifractality. The calculated width parameter of the multifractal spectra is higher for the co-seismic electromagnetic signals, confirming their higher degree of multifractality. This multifractal analysis underlines the inherent complexity of earthquake-related electromagnetic signals and underscores the utility of multifractal analysis as a robust tool for characterizing seismo-electromagnetic signals. Research highlights: MF-DFA reveals multifractal properties of earthquake-related electromagnetic signal. Magnetotelluric measurements used to study the seismo-electromagnetic signal. Using robust techniques to extract the co-seismic electromagnetic signal. Co-seismic electromagnetic signals exhibit strong multifractality. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193197839
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s12040-026-02805-4
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 1
    Subjects:
      – SubjectFull: Magnetotelluric prospecting
        Type: general
      – SubjectFull: Fractals
        Type: general
      – SubjectFull: Wavelet transforms
        Type: general
      – SubjectFull: Digital filters (Mathematics)
        Type: general
      – SubjectFull: Time series analysis
        Type: general
      – SubjectFull: Scaling laws (Statistical physics)
        Type: general
      – SubjectFull: Algeria
        Type: general
    Titles:
      – TitleFull: Multifractal detrended fluctuation analysis of co-seismic electromagnetic signals from a magnetotelluric monitoring station in Northern Algeria.
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          Name:
            NameFull: Kasdi, Ahmed Seddik
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 135
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              Value: 2
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            – TitleFull: Journal of Earth System Science
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