scholarly journals Multifractal variability in geoelectrical signals and correlations with seismicity: a study case in southern Italy

2005 ◽  
Vol 5 (5) ◽  
pp. 673-677 ◽  
Author(s):  
L. Telesca ◽  
G. Colangelo ◽  
V. Lapenna
Keyword(s):  
Southern Italy ◽  
Complex Dynamics ◽  
Fluctuation Analysis ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Nonstationary Signals ◽  
Time Dynamics ◽  
Study Case ◽  
Seismic Area ◽  
Detrended Fluctuation ◽  
Geoelectrical Signals

Abstract. Multifractal fluctuations in the time dynamics of geoelectrical data, recorded in a seismic area of southern Italy, have been revealed using the Multifractal Detrended Fluctuation Analysis (MF-DFA), which allows to detect multifractality in nonstationary signals. Our findings show that the geoelectrical time series, recorded in the seismic area of southern Apennine Chain (Italy), is multifractal. The time evolution of the multifractality suggests that the multifractal degree increases prior the occurrence of earthquakes. This study aims to propose another approach to investigate the complex dynamics of earthquake-related geoelectrical signals.

scholarly journals Multifractality in local geomagnetic field at Etna volcano, Sicily (southern Italy)

2005 ◽  
Vol 5 (4) ◽  
pp. 555-559 ◽  
Author(s):  
G. Currenti ◽  
C. del Negro ◽  
V. Lapenna ◽  
L. Telesca
Keyword(s):  
Geomagnetic Field ◽  
Southern Italy ◽  
Complex Dynamics ◽  
Fluctuation Analysis ◽  
Etna Volcano ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Nonstationary Signals ◽  
Eruptive Event ◽  
Mt Etna ◽  
Detrended Fluctuation

Abstract. We applied the Multifractal Detrended Fluctuation Analysis (MF-DFA), which allows to detect multifractality in nonstationary signals, to the hourly means of local geomagnetic field recorded at Mt. Etna volcano (southern Italy). We studied the signal measured at one geomagnetic station, installed at the summit of volcano, which was characterized by a strong eruption on 27 October 2002. We analyzed two frames of signals, one measured before the eruption and the other after, in order to evaluate dynamical changes induced by the eruptive event. Our findings show that: i) the geomagnetic time series is multifractal; ii) the multifractal degree of the signal decreases after the occurrence of eruption. This study aims to propose another approach to investigate the complex dynamics of volcano-related geomagnetic field.

FLUCTUATION ANALYSIS OF THE HOURLY TIME VARIABILITY IN OBSERVATIONAL GEOELECTRICAL SIGNALS

2002 ◽  
Vol 02 (03) ◽  
pp. L235-L242 ◽  
Author(s):  
LUCIANO TELESCA ◽  
VINCENZO LAPENNA ◽  
MARIA MACCHIATO
Keyword(s):  
Significant Variation ◽  
Detrended Fluctuation Analysis ◽  
Southern Italy ◽  
Time Variability ◽  
Fluctuation Analysis ◽  
Long Range Correlations ◽  
Power Law Exponent ◽  
Seismic Area ◽  
Detrended Fluctuation ◽  
Geoelectrical Signals

We investigate, by the Detrended Fluctuation Analysis (DFA), the long-range correlations in the hourly time variability of geoelectrical signals measured by the station Tramutola, located in one of the most seismic area of southern Italy. The DFA power-law exponent, characterizing the temporal fluctuations of these signals, shows significant variation, possibly related with the seismic activity of the area investigated.

ANALYSIS OF CORRELATION PROPERTIES IN GEOELECTRICAL DATA

Fractals ◽  
2003 ◽  
Vol 11 (01) ◽  
pp. 27-38 ◽  
Author(s):  
GERARDO COLANGELO ◽  
VINCENZO LAPENNA ◽  
LUCIANO TELESCA
Keyword(s):  
Time Series ◽  
Detrended Fluctuation Analysis ◽  
Southern Italy ◽  
Fluctuation Analysis ◽  
Scaling Exponents ◽  
Long Range Correlations ◽  
The Mean ◽  
Correlation Properties ◽  
Seismic Area ◽  
Detrended Fluctuation

This paper considers four geoelectrical time series, measured in a seismic area of Southern Italy. Lomb Periodogram method, Higuchi analysis, Detrended Fluctuation Analysis (DFA) and the mean distance spanned within time L are used to discuss the correlation properties of these signals. The values of the scaling exponents from these methods of the geoelectrical data indicate that the long-range correlations are present. Furthermore, it is found that these correlations are all linear.

scholarly journals Fisher Information Analysis of earthquake-related geoelectrical signals

2005 ◽  
Vol 5 (4) ◽  
pp. 561-564 ◽  
Author(s):  
L. Telesca ◽  
V. Lapenna ◽  
M. Lovallo
Keyword(s):  
Time Evolution ◽  
Fisher Information ◽  
Southern Italy ◽  
Information Measure ◽  
Information Analysis ◽  
Nonstationary Signals ◽  
Fisher Information Measure ◽  
Seismic Area ◽  
Geoelectrical Signals

Abstract. We studied the time fluctuations in the dynamics of geoelectrical data, recorded in Tito site, which is located in a seismic area of southern Italy. We used the Fisher Information Measure, which is a powerful tool to investigate complex and nonstationary signals. The time evolution of the Fisher Information Measure calculated for our signal reveals links with the earthquakes occurring in the investigated area.

Investigation scaling behavior of earthquake-related signals in magnetotelluric measurements, Northern Algeria

2021 ◽  
Author(s):  
Ahmed Seddik Kasdi ◽  
Abderrezak Bouzid ◽  
Mohamed Hamoudi ◽  
Abdslem Abtout
Keyword(s):  
Time Series ◽  
Detrended Fluctuation Analysis ◽  
Seismic Event ◽  
Scaling Behavior ◽  
Stationary Time Series ◽  
Fluctuation Analysis ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Time Dynamics ◽  
Electromagnetic Signals ◽  
Detrended Fluctuation

<p>The north-central region of Algeria has been characterized by a swarm-type seismicity, after the strong Mw6.8 Boumerdès earthquake of May 21, 2003, culminating with the earthquake that occurred on July 17, 2013 of magnitude Mw=5. A magnetotelluric station was installed on December 2014 in the Medea region, 60 km south of the capital Algiers. We measured the five components of the telluric and magnetic field with a sampling frequency of 15 Hz. The seismic activity in the region provided the opportunity to observe and study the earthquake’s related electromagnetic signal. The scaling properties of the recorded electric and magnetic time series were investigated. On the basis of multifractal detrended fluctuation analysis, which is a powerful method for detecting scaling in non-stationary time series, deviations from the uniform scale of the power law were identified and quantified. We investigated the time dynamics of the earthquake related electromagnetic time series measured at the magnetotelluric station. The multifractal detrended fluctuation analysis showed the different multifractality properties of electromagnetic signals before, during and after the seismic event. The results of this work show an unstable scaling behavior in electromagnetic data during the occurrence of the seismic event. These first results could be useful in the framework of seismo-electromagnetic signals studies.</p>

Multifractal detrended fluctuation analysis of temperature in Spain (1960–2019)

2021 ◽  
pp. 126118
Author(s):  
Javier Gómez-Gómez ◽  
Rafael Carmona-Cabezas ◽  
Ana B. Ariza-Villaverde ◽  
Eduardo Gutiérrez de Ravé ◽  
Francisco José Jiménez-Hornero
Keyword(s):  
Detrended Fluctuation Analysis ◽  
Fluctuation Analysis ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Detrended Fluctuation
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