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对地震电信号活动开始后至主震期间的地震活动性进行调查。

Investigation of seismicity after the initiation of a Seismic Electric Signal activity until the main shock.

作者信息

Sarlis N V, Skordas E S, Lazaridou M S, Varotsos P A

机构信息

Solid State Section and Solid Earth Physics Institute, Physics Department, University of Athens, Athens, Greece.

出版信息

Proc Jpn Acad Ser B Phys Biol Sci. 2008;84(8):331-43. doi: 10.2183/pjab.84.331.

DOI:10.2183/pjab.84.331
PMID:18941306
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3722020/
Abstract

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)>-(2)) resulting from the power spectrum of a function defined as Phi(omega)= summation operator(k=1)(N) p(k) exp(iomegachi(k)), where p(k) is the normalized energy of the k-th small earthquake and omega the natural frequency. This PDF exhibits a maximum at kappa(1) asymptotically equal to 0.070 a few days before the main shock. Examples are presented, referring to the magnitude 6 approximately 7 class earthquakes that occurred in Greece.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/3573d72af2af/331f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/cb93df1f7c20/331f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/97c36ba6657e/331f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/973dcf0eb625/331f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/28b843e8800e/331f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/3573d72af2af/331f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/cb93df1f7c20/331f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/97c36ba6657e/331f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/973dcf0eb625/331f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/28b843e8800e/331f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c169/3722020/3573d72af2af/331f7.jpg

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