On the time dynamics of geoelectrical signals recorded in a seismic area of Southern Apennine Chain (Italy)

2000 ◽  
Vol 25 (3) ◽  
pp. 227-232 ◽  
Author(s):  
V. Cuomo ◽  
V. Lapenna ◽  
M. Macchiato ◽  
L. Telesca
Keyword(s):  
Time Dynamics ◽  
Seismic Area ◽  
Apennine Chain ◽  
Geoelectrical Signals

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 Investigating the temporal fluctuations in geoelectrical and geochemical signals Jointly measured in a seismic area of Southern Apennine chain (Italy)

2009 ◽  
Vol 44 (2) ◽  
Author(s):  
V. Cuomo ◽  
G. Di Bello ◽  
J. Heinecke ◽  
V. Lapenna ◽  
G. Martinelli ◽  
...  
Keyword(s):  
Temporal Fluctuations ◽  
Seismic Area ◽  
Apennine Chain

scholarly journals Self-potential time series analysis in a seismic area of the Southern Apennines: preliminary results

1994 ◽  
Vol 37 (5 Sup.) ◽  
Author(s):  
G. Di Bello ◽  
V. Lapenna ◽  
C. Satriano ◽  
V. Tramutoli
Keyword(s):  
Time Series ◽  
External Noise ◽  
Southern Apennines ◽  
Time Dynamics ◽  
Preliminary Results ◽  
Time Patterns ◽  
Experimental Time Series ◽  
Residual Series ◽  
Seismic Area ◽  
Self Potential

The self-potential time series recorded during the period May 1991 - August 1992 by an automatic station, located in a seismic area of Southern Apennines, is analyzed. We deal with the spectral and the statistical features of the electrotellurie precursors: they can play a major role in the approach to seismic prediction. The time-dynamics of the experimental time series is investigated, the cyclic components and the time trends are removed. In particular we consider the influence of external noise, related to anthropic activities and meteoclimatic parameters, and pick out the anomalies from the residual series. Finally we show the preliminary results of the correlation between the anomalies in the time patterns of self-potential data and the earthquakes which occurred in the area.

1/fα Fluctuations in geoelectrical signals observed in a seismic area of Southern Italy

2002 ◽  
Vol 347 (4) ◽  
pp. 253-268 ◽  
Author(s):  
Marianna Balasco ◽  
Vincenzo Lapenna ◽  
Luciano Telesca
Keyword(s):  
Southern Italy ◽  
Seismic Area ◽  
Geoelectrical Signals

Flicker-noise spectroscopy: a new approach to investigate the time dynamics of geoelectrical signals measured in seismic areas

2004 ◽  
Vol 29 (4-9) ◽  
pp. 389-395 ◽  
Author(s):  
Luciano Telesca ◽  
Vincenzo Lapenna ◽  
Serge Timashev ◽  
Grigory Vstovsky ◽  
Giovanni Martinelli
Keyword(s):  
Flicker Noise ◽  
New Approach ◽  
Time Dynamics ◽  
Noise Spectroscopy ◽  
Geoelectrical Signals

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.

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.

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

2004 ◽  
Vol 4 (5/6) ◽  
pp. 663-667 ◽  
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.

scholarly journals Stochastic behaviour and scaling laws in geoelectrical signals measured in a seismic area of southern Italy

1999 ◽  
Vol 139 (3) ◽  
pp. 889-894 ◽  
Author(s):  
Vincenzo Cuomo ◽  
Vincenzo Lapenna ◽  
Maria Macchiato ◽  
Carmine Serio ◽  
Luciano Telesca
Keyword(s):  
Scaling Laws ◽  
Southern Italy ◽  
Stochastic Behaviour ◽  
Seismic Area ◽  
Geoelectrical Signals
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