2012
DOI: 10.1016/j.chaos.2011.10.009
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Negative correlation between power-law scaling and Hurst exponents in long-range connective sandpile models and real seismicity

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Cited by 12 publications
(9 citation statements)
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“…Many natural phenomena show persistent behaviors, with Hurst exponent generally fluctuating around 0.73 20 . This holds true also for earthquakes 21 – 28 , even though some variability in the H value has been documented 6 , 29 31 . However, most of these studies focused on specific seismic episodes (e.g., seismic sequences) or examined the process taking into account short observation periods.…”
Section: Introductionmentioning
confidence: 59%
“…Many natural phenomena show persistent behaviors, with Hurst exponent generally fluctuating around 0.73 20 . This holds true also for earthquakes 21 – 28 , even though some variability in the H value has been documented 6 , 29 31 . However, most of these studies focused on specific seismic episodes (e.g., seismic sequences) or examined the process taking into account short observation periods.…”
Section: Introductionmentioning
confidence: 59%
“…As recently pointed out in Chen et al [17] and Lee et al [18], Hallgass et al [20] have introduced a self-affine model (SAM) for the seismicity that mimics the fault friction by means of two fractional Brownian profiles that slide one over the other. Since the roughness index, H , of the analyzed EM time series is ~0.7 H , the SAM predicts that the probability an EM pulse having an energy E should be denoted by ( )…”
Section: ( )mentioning
confidence: 99%
“…2. Long-range connective sandpile (LRCS) models [16][17][18] predict a negative correlation between Hurst exponent H and a frequency-size power-law scaling exponent B (or the FD) for large system sizes, which seem to be consistent with studies of earthquake fault systems and real seismicity data [17][18][19][20]. Τhe B − values (and FD) typically reduce prior to large avalanches, which mimics the observed precursory phenomena of the Gutenberg -Richter b − values in real seismicity, while the H − values increase.…”
Section: ι Introductionmentioning
confidence: 99%
“…This process is similar to the dynamic process of the earthquake fault system, which repeats by reloading elastic strain energy and rebuilding correlation lengths towards criticality and the next large event [22][23][24]. For more details about the LRCS model, we refer readers to our previous papers [12][13][14][15].…”
mentioning
confidence: 99%
“…The error bars show the 95% confidence intervals. The time occurrences for avalanches with s > 10 3.5 (black bars) are also shown[15].…”
mentioning
confidence: 99%