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Principal component analysis of geoelectrical signals measured in the seismically active area of Basilicata Region (southern Italy)

机译:巴塞里卡地区地震活动区测量地电气信号的主成分分析(意大利南部)

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Geoelectrical fluctuations are the end product of several geophysical phenomena. In particular geoelectrical signals measured in seismically active areas can be attributed to stress and strain changes, associated with earthquakes. The complexity of this problem has suggested the development of advanced statistical methods to investigate the heterogeneous nature of these fluctuations. In this paper we analysed the time dynamics of short-term variability of geoelectrical field measured at Giuliano station, located in Basilicata Region, one of the most seismically active areas of southern Italy. We applied the principal component analysis (PCA). The analysis has shown earthquake precursory patterns in the daily variation of the principal components, revealing that the PCA approach is promising for monitoring seismic areas.
机译:电气电流是几种地球物理现象的最终产物。特别地,在地震活动区域中测量的电气电信数可归因于与地震相关的应力和应变变化。这个问题的复杂性提出了开发先进的统计方法,以研究这些波动的异质性质。在本文中,我们分析了位于巴斯利尼亚地区的朱利亚诺站,位于大溪地地区的朱利尼亚州站的短期变异性的时间动态。我们应用了主成分分析(PCA)。分析在主成分的日常变化中显示了地震前兆图案,揭示了PCA方法对监测地震区域有前途。

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