首页> 外文期刊>Proceedings of the Japan Academy, Series B. Physical and Biological Sciences >Investigation of seismicity after the initiation of a Seismic Electric Signal activity until the main shock
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Investigation of seismicity after the initiation of a Seismic Electric Signal activity until the main shock

机译:地震电信号活动开始后到主震之前的地震活动性调查

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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 χ was used and the results revealed that the approach to criticality itself can be manifested by the probability density function (PDF) of κ1 calculated over an appropriate statistical ensemble. Here, κ1 is the variance κ1(=<χ22) resulting from the power spectrum of a function defined as Φ(ω)=∑k=1N pk exp(iωχk), where pk is the normalized energy of the k-th small earthquake and ω the natural frequency. This PDF exhibits a maximum at κ1≈0.070 a few days before the main shock. Examples are presented, referring to the magnitude 6∼7 class earthquakes that occurred in Greece.

(Communicated by Seiya UYEDA, M.J.A.)
机译:在观察到地震电信号活动直到即将发生的主震之前,研究了遭受主震的候选区域的地震活动性。这是基于这样的观点,地震的发生是可以应用统计动态的关键现象。在本文中,通过分析小地震的时间序列,使用自然时间χ的概念,结果表明,临界度本身可以通过κ 1的概率密度函数(PDF)来体现。 SUB>在适当的统计集合中计算。此处的κ 1 是方差κ 1 (= <χ 2 2 )从定义为Φ(ω)= ∑ k = 1 N p k的函数的功率谱中 exp( i ωχ k ),其中 p k 是第k次小地震的归一化能量,ω是自然频率。在主震发生前几天,该PDF在κ 1 ≈0.070处显示最大值。举例说明了希腊发生的6〜7级地震。

(由M.J.A. Seiya UYEDA传达)

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