Non‐uniform scaling features in central Italy seismicity: A non‐linear approach in investigating seismic patterns and detection of possible earthquake precursors

Telesca, Luciano; Lovallo, Michele

doi:10.1029/2008gl036247

Cited by 76 publications

(46 citation statements)

References 23 publications

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“…If 0.5 < α ≤ 1 persistent long-range power-law correlations exist. In contrast, 0 < α < 0.5 indicates antipersistent powerlaw correlation (Telesca et al, 2009). …”

Section: Detrended Fluctuation Analysis (Dfa)mentioning

confidence: 99%

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Entropy of geoelectrical time series in the natural time domain

Ramírez-Rojas¹,

Telesca

Angulo‐Brown³

2011

Nat. Hazards Earth Syst. Sci.

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Abstract. Seismic electric signals (SES) have been considered precursors of strong earthquakes, and, recently, their dynamics have been investigated within the Natural Time Domain (NTD) (Varotsos et al., 2004). In this paper we apply the NTD approach and the chaotic map signal analysis to two geoelectric time series recorded in a seismically very active area of Mexico, where two strong earthquakes, M = 6.6 and M = 7.4, occurred on 24 October 1993 and 14 September 1995, respectively. The low frequency geoelectric signals measured display periods with dichotomic behavior. Our findings point out to an increase of the correlation degree of the geoelectric signals before the occurrence of strong earthquakes; furthermore, the power spectrum and entropy in NTD are in good agreement with the results published in literature. Our results were validated by the analysis of a chaotic map simulated time series, which revealed the typical characteristics of artificial noise.

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“…If 0.5 < α ≤ 1 persistent long-range power-law correlations exist. In contrast, 0 < α < 0.5 indicates antipersistent powerlaw correlation (Telesca et al, 2009). …”

Section: Detrended Fluctuation Analysis (Dfa)mentioning

confidence: 99%

“…The DFA has been widely applied in many scientific fields, and in particular to investigate earthquakes and earthquakerelated phenomena (Telesca et al, 2003(Telesca et al, , 2004aTelesca and Lovallo, 2009). The DFA method is briefly described as follows.…”

Section: Detrended Fluctuation Analysis (Dfa)mentioning

confidence: 99%

Entropy of geoelectrical time series in the natural time domain

Ramírez-Rojas¹,

Telesca

Angulo‐Brown³

2011

Nat. Hazards Earth Syst. Sci.

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“…Both these measures are not sufficient to fully characterize the time-clusterization of a sequence, because the first is not informative of the temporal ranges over which the sequence is time-clusterized, the second is not informative of the correlation properties of the sequence that are linked with statistics of the second order. The identification of clusterized behaviour in seismicity was performed at a regional and local level (Telesca et al, 2001, revealing also a non-trivial relationship with space (Telesca et al, 2003), time and magnitude (Telesca and Macchiato, 2004).…”

Section: Introductionmentioning

confidence: 99%

Investigation of the temporal fluctuations of the 1960–2010 seismicity of Caucasus

Telesca

Matcharashvili

Chélidzé

2012

Nat. Hazards Earth Syst. Sci.

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Abstract. The time-clustering behaviour of the seismicity of the Caucasus spanning from 1960 to 2010 was investigated. The analysis was performed on the whole and aftershockdepleted catalogues by means of the method of Allan Factor, which permits the identification and quantification of timeclustering in point processes. The whole sequence is featured by two scaling regimes with the scaling exponent at intermediate timescales lower than that at high timescales, and a crossover that could be probably linked with aftershock time activiation. The aftershock-depleted sequence is characterized by higher time-clustering degree and the presence of a periodicity probably correlated with the cyclic earth surface load variations on regional and local scales, e.g. with snow melting in Caucasian mountains and large Enguri dam operations. The obtained results were corroborated by the application of two surrogate methods: the random shuffling and the generation of Poissonian sequences.

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“…We first use detrended fluctuation analysis (DFA) to investigate the type of correlations that might be present in the evolution of the earthquake activity at the West Corinth rift. DFA is a reliable statistical method for the detection of long-range correlation in non-stationary fluctuating signals and has been widely applied to diverse fields including geophysics (Varotsos et al, 2002;Telesca et al, 2003;Lennartz et al, 2008;Telesca and Lovallo, 2009). We then investigate the frequency-magnitude and the interevent time distributions in a NESP framework for the period [2001][2002][2003][2004][2005][2006][2007][2008] and then compare the results with other well-known distributions in seismology, such as the G-R relation for the earthquake energy distribution (Gutenberg and Richter, 1944) and the gamma distribution for the probability density of the time intervals between the successive earthquakes (Corral, 2004).…”

Section: Introductionmentioning

confidence: 99%

Non-extensivity and long-range correlations in the earthquake activity at the West Corinth rift (Greece)

Michas

Vallianatos

Sammonds

2013

Nonlin. Processes Geophys.

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Abstract. In the present work the statistical properties of the earthquake activity in a highly seismic region, the West Corinth rift (Central Greece), are being studied by means of generalized statistical physics. By using a dataset that covers the period 2001-2008, we investigate the earthquake energy distribution and the distribution of the time intervals (interevent times) between the successive events. As has been reported previously, these distributions exhibit complex statistical properties and fractality. By using detrended fluctuation analysis (DFA), a well-established method for detection of long-range correlations in non-stationary signals, it is shown that long-range correlations are also present in the earthquake activity. The existence of these properties motivates us to use non-extensive statistical physics (NESP) to investigate the statistical properties of the frequencymagnitude and the interevent time distributions, along with other well-known relations in seismology, such as the gamma distribution for interevent times. The results of the analysis indicate that the statistical properties of the earthquake activity can be successfully reproduced by means of NESP and that the earthquake activity at the West Corinth rift is correlated at all-time scales.

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Non‐uniform scaling features in central Italy seismicity: A non‐linear approach in investigating seismic patterns and detection of possible earthquake precursors

Cited by 76 publications

References 23 publications

Entropy of geoelectrical time series in the natural time domain

Entropy of geoelectrical time series in the natural time domain

Investigation of the temporal fluctuations of the 1960–2010 seismicity of Caucasus

Non-extensivity and long-range correlations in the earthquake activity at the West Corinth rift (Greece)

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