Anyfadi Eleni-Apostolia, Avgerinou Sophia-Ekaterini, Michas Georgios, Vallianatos Filippos
Section of Geophysics-Geothermics, Department of Geology and Geoenvironment, National and Kapodistrian University of Athens, 15784 Athens, Greece.
Institute of Physics of Earth's Interior and Geohazards, UNESCO Chair on Solid Earth Physics and Geohazards Risk Reduction, Hellenic Mediterranean University Research & Innovation Center, 73133 Chania, Greece.
Entropy (Basel). 2022 Dec 19;24(12):1850. doi: 10.3390/e24121850.
Large subduction-zone earthquakes generate long-lasting and wide-spread aftershock sequences. The physical and statistical patterns of these aftershock sequences are of considerable importance for better understanding earthquake dynamics and for seismic hazard assessments and earthquake risk mitigation. In this work, we analyzed the statistical properties of 42 aftershock sequences in terms of their temporal evolution. These aftershock sequences followed recent large subduction-zone earthquakes of M ≥ 7.0 with focal depths less than 70 km that have occurred worldwide since 1976. Their temporal properties were analyzed by investigating the probability distribution of the interevent times between successive aftershocks in terms of non-extensive statistical physics (NESP). We demonstrate the presence of a crossover behavior from power-law ( ≠ 1) to exponential ( = 1) scaling for greater interevent times. The estimated entropic -values characterizing the observed distributions range from 1.67 to 1.83. The -exponential behavior, along with the crossover behavior observed for greater interevent times, are further discussed in terms of superstatistics and in view of a stochastic mechanism with memory effects, which could generate the observed scaling patterns of the interevent time evolution in earthquake aftershock sequences.
大型俯冲带地震会产生持续时间长且分布广泛的余震序列。这些余震序列的物理和统计模式对于更好地理解地震动力学、进行地震危险性评估以及减轻地震风险具有相当重要的意义。在这项工作中,我们从时间演化的角度分析了42个余震序列的统计特性。这些余震序列跟随了自1976年以来全球发生的震级M≥7.0且震源深度小于70千米的近期大型俯冲带地震。通过运用非广延统计物理学(NESP)研究相继余震之间的事件间隔时间的概率分布,对它们的时间特性进行了分析。我们证明了对于更大的事件间隔时间存在从幂律(≠1)到指数( = 1)标度的交叉行为。表征观测分布的估计熵值范围为1.67至1.83。将从超统计以及考虑具有记忆效应的随机机制的角度,进一步讨论 - 指数行为以及在更大事件间隔时间观测到的交叉行为,这可能会产生地震余震序列中事件间隔时间演化的观测标度模式。