Analyzing the Correlations and the Statistical Distribution of Moderate to Large Earthquakes Interevent Times in Greece

被引:4
作者
Kourouklas, Christos [1 ]
Tsaklidis, George [2 ]
Papadimitriou, Eleftheria [1 ]
Karakostas, Vasileios [1 ]
机构
[1] Aristotle Univ Thessaloniki, Sch Geol, Geophys Dept, Thessaloniki 54124, Greece
[2] Aristotle Univ Thessaloniki, Sch Math, Stat & Operat Res Dept, Thessaloniki 54124, Greece
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 14期
关键词
earthquake interevent times; Greek seismicity; temporal correlations; statistical distributions; SEISMICITY; RECURRENCE; NORTH; FAULT;
D O I
10.3390/app12147041
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Seismic temporal properties constitute a fundamental component in developing probabilistic models for earthquake occurrence in a specific area. Earthquake occurrence is neither periodic nor completely random but often accrues into bursts in both short- and long-term time scales, and involves a complex summation of triggered and independent events (Delta T). This behavior underlines the impact of the correlations on many potential applications such as the stochastic point process for the earthquake interevent times. In this respect, we intend firstly to determine the appropriate magnitude thresholds, M-thr, indicating the temporal crossover between correlated and statistically independent earthquakes in each 1 of the 10 distinctive sub-areas of the Aegean region. The second goal is the investigation of the statistical distribution that optimally fits the interevent times' data for earthquakes with M >= M-thr after evaluating the Gamma, Weibull, Lognormal and Exponential distributions performance. Results concerning the correlations analysis evidenced that the temporal crossover of the earthquake interevent time data ranges from M-thr >= 4.7 up to M-thr >= 5.1 among the 10 sub-areas. The distribution fitting and comparison reveals that the Gamma distribution outperforms the other three distributions for all the data sets. This finding indicates a burst or clustering behavior in the earthquake interevent times, in which each earthquake occurrence depends upon only the occurrence time of the last one and not from the full seismic history.
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页数:32
相关论文
共 48 条
[1]   Earthquakes: Recurrence and interoccurrence times [J].
Abaimov, S. G. ;
Turcotte, D. L. ;
Shcherbakov, R. ;
Rundle, J. B. ;
Yakovlev, G. ;
Goltz, C. ;
Newman, W. I. .
PURE AND APPLIED GEOPHYSICS, 2008, 165 (3-4) :777-795
[2]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[3]   Recurrence time analysis, long-term correlations, and extreme events [J].
Altmann, EG ;
Kantz, H .
PHYSICAL REVIEW E, 2005, 71 (05)
[4]   ASYMPTOTIC THEORY OF CERTAIN GOODNESS OF FIT CRITERIA BASED ON STOCHASTIC PROCESSES [J].
ANDERSON, TW ;
DARLING, DA .
ANNALS OF MATHEMATICAL STATISTICS, 1952, 23 (02) :193-212
[5]  
[Anonymous], 2012, Basic models of seismicity: temporal models: Community Online Resource for Statistical Seismicity Analysis, DOI [10.5078/corssa-79905851, DOI 10.5078/CORSSA-79905851]
[6]  
Armijo R, 1999, GEOLOGY, V27, P267, DOI 10.1130/0091-7613(1999)027<0267:WPOTNA>2.3.CO
[7]  
2
[8]   Unified scaling law for earthquakes [J].
Bak, P ;
Christensen, K ;
Danon, L ;
Scanlon, T .
PHYSICAL REVIEW LETTERS, 2002, 88 (17) :4-178501
[9]   Conditional Probabilities of Hellenic Arc Earthquakes Based on Different Distribution Models [J].
Coban, Kaan Hakan ;
Sayil, Nilgun .
PURE AND APPLIED GEOPHYSICS, 2020, 177 (11) :5133-5145
[10]  
Convertito V., 2014, Encyclopedia of Earthquake Engineering, P1, DOI [10.1007/978-3-642-36197-5_236-1, DOI 10.1007/978-3-642-36197-5_236-1]