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Book Chapter

Multifractal variability in self-potential signals measured in seismic areas

By
Luciano Telesca
Luciano Telesca
1
Institute of Methodologies for Environmental Analysis, CNR
C.da S.Loja, 85050 Tito (PZ), Italy
ltelesca@imaa.cnr.it
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;
Vincenzo Lapenna
Vincenzo Lapenna
1
Institute of Methodologies for Environmental Analysis, CNR
C.da S.Loja, 85050 Tito (PZ), Italy
ltelesca@imaa.cnr.it
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;
Maria Macchiato
Maria Macchiato
2
Dipartimento di Scienze Fisiche, INFM, Università ‘Federico II’
Naples, Italy
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Published:
January 01, 2006

Abstract

Multifractal variability in the time dynamics of geoelectrical data, recorded in a seismic area of southern Italy, was studied by means of Multifractal Detrended Fluctuation Analysis (MF-DFA), which allows the detection of multifractality in nonstationary signals. Our findings show that the multifractality of the geoelectrical time series recorded in the study area is mainly due to the different long-range correlations for small and large fluctuations. Furthermore, the singularity spectrum has led to a better description of the signal, revealing a clear enhancement of its degree of multifractality (measured by the variation of the standard deviation of the generalized Hurst exponents h(q) or the Hölder exponents α) in association with the occurrence of the largest earthquake. However, in order to assess significant correlations between large earthquakes and patterns of multifractal parameters, an investigation of data sets covering longer periods and different seismotectonic environments is needed. The study also furnishes details on our approach for investigating the complex dynamics of earthquake-related geoelectrical signals.

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Contents

Geological Society, London, Special Publications

Fractal Analysis for Natural Hazards

G. Cello
G. Cello
University of Camerino, Italy
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B. D. Malamud
B. D. Malamud
King's College London, UK
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Geological Society of London
Volume
261
ISBN electronic:
9781862395091
Publication date:
January 01, 2006

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