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<front>
<journal-meta>
<journal-id journal-id-type="publisher">NHESS</journal-id>
<journal-title-group>
<journal-title>Natural Hazards and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">NHESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Nat. Hazards Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1684-9981</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/nhess-4-663-2004</article-id>
<title-group>
<article-title>Principal component analysis of geoelectrical signals measured in the seismically active area of Basilicata Region (southern Italy)</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Telesca</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Colangelo</surname>
<given-names>G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hattori</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lapenna</surname>
<given-names>V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Istituto di Metodologie per l’Analisi Ambientale, CNR, Tito (PZ), Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Marine Biosystems Research Center, Chiba University, Japan</addr-line>
</aff>
<pub-date pub-type="epub">
<day>01</day>
<month>11</month>
<year>2004</year>
</pub-date>
<volume>4</volume>
<issue>5/6</issue>
<fpage>663</fpage>
<lpage>667</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2004 L. Telesca et al.</copyright-statement>
<copyright-year>2004</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by-nc-sa/2.5/">https://creativecommons.org/licenses/by-nc-sa/2.5/</ext-link></license-p>
</license>
</permissions>
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<self-uri xlink:href="https://nhess.copernicus.org/articles/4/663/2004/nhess-4-663-2004.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/articles/4/663/2004/nhess-4-663-2004.pdf</self-uri>
<abstract>
<p>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.</p>
</abstract>
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