Sarlis N V, Skordas E S, Lazaridou M S, Varotsos P A
Solid State Section and Solid Earth Physics Institute, Physics Department, University of Athens, Athens, Greece.
Proc Jpn Acad Ser B Phys Biol Sci. 2008;84(8):331-43. doi: 10.2183/pjab.84.331.
The behavior of seismicity in the area candidate to suffer a main shock is investigated after the observation of the Seismic Electric Signal activity until the impending main shock. This is based on the view that the occurrence of earthquakes is a critical phenomenon to which statistical dynamics may be applied. In the present work, analysing the time series of small earthquakes, the concept of natural time chi was used and the results revealed that the approach to criticality itself can be manifested by the probability density function (PDF) of kappa(1) calculated over an appropriate statistical ensemble. Here, kappa(1) is the variance kappa(1)(=<chi(2)>-
在观测到地震电信号活动直至即将发生主震之后,对可能遭受主震区域的地震活动性进行了研究。这是基于地震的发生是一种可应用统计动力学的临界现象这一观点。在当前工作中,通过分析小地震的时间序列,使用了自然时间χ的概念,结果表明,临界性本身的趋近可以通过在适当统计系综上计算的κ(1)的概率密度函数(PDF)来体现。这里,κ(1)是由定义为Φ(ω)=∑(k = 1)(N) p(k) exp(iωχ(k))的函数的功率谱产生的方差κ(1)(=〈χ²〉 - 〈χ〉²),其中p(k)是第k次小地震的归一化能量,ω是自然频率。该PDF在主震前几天在κ(1)渐近等于0.070处出现最大值。文中给出了希腊发生的震级约为6至7级地震的实例。