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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-1-75-2001</article-id>
<title-group>
<article-title>Application of a wavelet technique for the detection of earthquake signatures in the geomagnetic field</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alperovich</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>Zheludev</surname>
<given-names>V.</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>Hayakawa</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Dept. of Geophysics and Planetary Sciences, Ramat-Aviv, 69978 Tel-Aviv University, Israel</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Computer Science, Tel-Aviv University, 69978 Tel Aviv, Israel</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Dept. of Electronic Engineering, The University of Electro-Communications, Chofu, Tokyo, Japan</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>06</month>
<year>2001</year>
</pub-date>
<volume>1</volume>
<issue>1/2</issue>
<fpage>75</fpage>
<lpage>81</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2001 L. Alperovich et al.</copyright-statement>
<copyright-year>2001</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>
<self-uri xlink:href="https://nhess.copernicus.org/articles/1/75/2001/nhess-1-75-2001.html">This article is available from https://nhess.copernicus.org/articles/1/75/2001/nhess-1-75-2001.html</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/articles/1/75/2001/nhess-1-75-2001.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/articles/1/75/2001/nhess-1-75-2001.pdf</self-uri>
<abstract>
<p>We developed an
      algorithm especially adapted to &lt;i&gt;single-station &lt;/i&gt;wavelet detection of
      geomagnetic events, which precede or accompany the earthquakes. The
      detection problem in this situation is complicated by a great variability
      of earthquakes and accompanied phenomena, which aggravates finding
      characteristic features of the events. Therefore we chose to search for
      the characteristic features of both &amp;quot;disturbed&amp;quot; intervals
      (containing earthquakes) and &amp;quot;quiet&amp;quot; recordings. In this paper
      we propose an algorithm for solving the problem of detecting the presence
      of signals produced by an earthquake via analysis of its signature against
      the existing database of magnetic signals. To achieve this purpose, we
      construct the magnetic signature of certain earthquakes using the
      distribution of the energies among blocks, which consist of wavelet packet
      coefficients.</p>
</abstract>
<counts><page-count count="7"/></counts>
</article-meta>
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