Title of article
Charting of geoelectric potential signal dynamics via geometrical techniques and its possible relation to significant earthquakes in Western Greece
Author/Authors
Theoharatos، نويسنده , , Christos and Ifantis، نويسنده , , Apostolos and Laskaris، نويسنده , , Nikolaos A. and Economou، نويسنده , , George، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2008
Pages
10
From page
625
To page
634
Abstract
An exploratory data analysis (EDA) framework was developed in order to investigate the presence of possible correlations in the long-term geoelectric potential (LTGP) signal, prior to significant seismic events in Western Greece. Experimental data, which had been collected continuously within a 6-year period (1998–2003) at the earthquake signal-acquisition center of the University of Patras Seismological Laboratory (UPSL), were studied. The multidimensional scaling (MDS) technique was used to detect putative clustering tendencies in the ensemble of time-series (TS) segments that could indicate the existence of a possible correlation between the geoelectric signal structure and the impending seismic activity. The end result is a 2-dimensional point diagram with the geometry reflecting important signal characteristics, directly related with the underlying seismic events. In addition, the “appending technique”, a well-suited data analysis methodology was incorporated as a means of relating any other TS segment directly with the pre-computed, via the MDS, point diagram. Using the proposed EDA framework, we examined the presence of similar temporal patterns in the recorded geoelectric TS field, 10 days before the occurrence of the major earthquakes. The presented experimental results indicated clearly the validity of the introduced approach and, further, motivated the use of such advanced visualization schemes for charting precursor trends of significance seismicity.
Keywords
Visualization , multidimensional scaling , Appending technique , Geoelectric pattern classification
Journal title
Computers & Geosciences
Serial Year
2008
Journal title
Computers & Geosciences
Record number
2287343
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