Investigating the multifractal properties of geoelectrical signals measured in southern Italy

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.

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Investigating the time dynamics of geoelectrical signals measured in two seismotectonic environments in the Mediterranean region: the Southern Apennine chain (Southern Italy) and the Hellenic arc (Crete Island, Greece)

Annals of Geophysics ◽

10.4401/ag-3639 ◽

2009 ◽

Vol 43 (2) ◽

Author(s):

G. Colangelo ◽

V. Lapenna ◽

F. Vallianatos ◽

C. Nomikos

Keyword(s):

Mediterranean Region ◽

Southern Italy ◽

Time Dynamics ◽

Hellenic Arc ◽

Crete Island ◽

The Mediterranean ◽

Apennine Chain ◽

Geoelectrical Signals

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Monofractal and multifractal characterization of geoelectrical signals measured in southern Italy

Chaos Solitons & Fractals ◽

10.1016/s0960-0779(02)00655-0 ◽

2003 ◽

Vol 18 (2) ◽

pp. 385-399 ◽

Cited By ~ 25

Author(s):

Luciano Telesca ◽

Gerardo Colangelo ◽

Vincenzo Lapenna ◽

Maria Macchiato

Keyword(s):

Southern Italy ◽

Geoelectrical Signals

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Fisher Information Analysis of earthquake-related geoelectrical signals

Natural Hazards and Earth System Science ◽

10.5194/nhess-5-561-2005 ◽

2005 ◽

Vol 5 (4) ◽

pp. 561-564 ◽

Cited By ~ 7

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.

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

Natural Hazards and Earth System Science ◽

10.5194/nhess-5-673-2005 ◽

2005 ◽

Vol 5 (5) ◽

pp. 673-677 ◽

Cited By ~ 22

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.

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Principal component analysis of geoelectrical signals measured in the seismically active area of Basilicata Region (southern Italy)

Natural Hazards and Earth System Science ◽

10.5194/nhess-4-663-2004 ◽

2004 ◽

Vol 4 (5/6) ◽

pp. 663-667 ◽

Cited By ~ 9

Author(s):

L. Telesca ◽

G. Colangelo ◽

K. Hattori ◽

V. Lapenna

Keyword(s):

Principal Component Analysis ◽

Southern Italy ◽

Principal Component ◽

Component Analysis ◽

Stress And Strain ◽

Short Term ◽

Time Dynamics ◽

Basilicata Region ◽

Heterogeneous Nature ◽

Geoelectrical Signals

Abstract. Geoelectrical fluctuations are the end product of several geophysical phenomena. In particular geoelectrical signals measured in seismically active areas can be attributed to stress and strain changes, associated with earthquakes. The complexity of this problem has suggested the development of advanced statistical methods to investigate the heterogeneous nature of these fluctuations. In this paper we analysed the time dynamics of short-term variability of geoelectrical field measured at Giuliano station, located in Basilicata Region, one of the most seismically active areas of southern Italy. We applied the principal component analysis (PCA). The analysis has shown earthquake precursory patterns in the daily variation of the principal components, revealing that the PCA approach is promising for monitoring seismic areas.

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