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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Russian Journal of Earth Sciences</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Russian Journal of Earth Sciences</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Russian Journal of Earth Sciences</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">1681-1208</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">46605</article-id>
   <article-id pub-id-type="doi">.2205/2016ES000568</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>ORIGINAL ARTICLES</subject>
    </subj-group>
    <subj-group>
     <subject>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Deformation precursors of large earthquakes derived from long term GNSS observation data</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Deformation precursors of large earthquakes derived from long term GNSS observation data</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Кафтан</surname>
       <given-names>Владимир </given-names>
      </name>
      <name xml:lang="en">
       <surname>Kaftan</surname>
       <given-names>Vladimir </given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Melnikov</surname>
       <given-names>A </given-names>
      </name>
      <name xml:lang="en">
       <surname>Melnikov</surname>
       <given-names>A </given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Геофизический центр РАН</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Geophysical Center of the Russian Academy of Sciences</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Agro-Technological Institute, Peoples' Friendship University of Russia</institution>
     <country>ru</country>
    </aff>
    <aff>
     <institution xml:lang="en">Agro-Technological Institute, Peoples' Friendship University of Russia</institution>
     <country>ru</country>
    </aff>
   </aff-alternatives>
   <volume>16</volume>
   <issue>3</issue>
   <fpage>1</fpage>
   <lpage>9</lpage>
   <history>
    <date date-type="received" iso-8601-date="2021-10-29T00:00:00+03:00">
     <day>29</day>
     <month>10</month>
     <year>2021</year>
    </date>
   </history>
   <self-uri xlink:href="https://rjes.ru/en/nauka/article/46605/view">https://rjes.ru/en/nauka/article/46605/view</self-uri>
   <abstract xml:lang="ru">
    <p>The results of observation of Global Navigation Satellite Systems (GNSS) in areas of large earthquakes are analyzed in this article. The Earth's surface deformation characteristics before, during and after the earthquake are researched, the results indicate the presence of abnormal deformation near their epicenters. The statistical evaluation of abnormal deformations with their root mean squares (rms) are presented. Conclusions about the possibilities of using local GNSS observation networks for evaluation of risk of strong seismic events are performed.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The results of observation of Global Navigation Satellite Systems (GNSS) in areas of large earthquakes are analyzed in this article. The Earth's surface deformation characteristics before, during and after the earthquake are researched, the results indicate the presence of abnormal deformation near their epicenters. The statistical evaluation of abnormal deformations with their root mean squares (rms) are presented. Conclusions about the possibilities of using local GNSS observation networks for evaluation of risk of strong seismic events are performed.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>Earthquake precursors</kwd>
    <kwd>Earth's surface deformation</kwd>
    <kwd>GNSS observation</kwd>
    <kwd>San Andreas fault</kwd>
    <kwd>least square method</kwd>
    <kwd>seismic cycle related deformations</kwd>
    <kwd>earthquake interaction</kwd>
    <kwd>forecasting and prediction</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Earthquake precursors</kwd>
    <kwd>Earth's surface deformation</kwd>
    <kwd>GNSS observation</kwd>
    <kwd>San Andreas fault</kwd>
    <kwd>least square method</kwd>
    <kwd>seismic cycle related deformations</kwd>
    <kwd>earthquake interaction</kwd>
    <kwd>forecasting and prediction</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p></p>
 </body>
 <back>
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</article>
