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    <journal-meta>
      <journal-title-group><journal-title>SET Proceedings</journal-title></journal-title-group>
      <issn pub-type="epub">2978-4387</issn>
      <publisher><publisher-name>Caravel Press</publisher-name></publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.65582/set.2018.189</article-id>
      <article-id pub-id-type="publisher-id">2018.189</article-id>
      <title-group><article-title>Analysis of seasonal variation of carbon concentration in china based on satellite remote sensing monitoring</article-title></title-group>
    <contrib-group>
      <contrib contrib-type="author">
        <name><surname>Zhang</surname><given-names>Lanlan</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <xref ref-type="aff" rid="aff2"/>
      </contrib>
      <contrib contrib-type="author" corresp="yes">
        <name><surname>Zhang</surname><given-names>Jinye</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <xref ref-type="aff" rid="aff2"/>
        <email>zhangjinye@hbut.edu.cn</email>
      </contrib>
      <aff id="aff1">School of Science, Hubei University of Technology, Wuhan 430068</aff>
      <aff id="aff2">Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan 430068</aff>
    </contrib-group>
      <pub-date publication-format="electronic" date-type="pub"><day>28</day><month>02</month><year>2019</year></pub-date>
      <volume>17</volume>
      <issue>4</issue>
      <isbn publication-format="electronic">978-0-85358-327-1</isbn>
      <fpage>27</fpage>
      <lpage>32</lpage>
      <self-uri xlink:href="https://caravelpress.com/proceedings/set/papers/2018.189"/>
      <history>
        <date date-type="received"><string-date>28 February 2019</string-date></date>
      </history>
      <permissions>
        <copyright-statement>© 2018 Copyright WSSET</copyright-statement>
        <copyright-year>2019</copyright-year>
      </permissions>
      <abstract><p>Global warming has a serious impact on the global ecosystem, politics and economy. Carbon dioxide (CO2) is one of the major greenhouse gases. In this paper, CO2 concentration in China were analysed by using CO2 concentration data from GOSAT and ground monitoring, respectively, as well as the auxiliary data such as population density and vegetation distribution in different provinces provided by the “2014 China Statistical Yearbook” . The spatial distribution of carbon concentration is obtained by using kriging interpolation. Annual average carbon concentration was about 402.75ppmv. CO2 concentration had obvious seasonal variation. It was higher in spring and winter than that in summer and autumn. It was 399.74ppmv in summer and 404.82ppmv in autumn. The fluctuation of CO2 was more severe in summer. In space, it was higher in the northeast and was lower in the northwest.</p></abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Remote sensing monitoring</kwd>
        <kwd>GOSAT</kwd>
        <kwd>Carbon dioxide</kwd>
        <kwd>Seasonal variation</kwd>
      </kwd-group>
      <conference>
        <conf-date>21 to 23 August 2018</conf-date>
        <conf-name>17th International Conference on Sustainable Energy Technologies</conf-name>
        <conf-acronym>SET2018</conf-acronym>
        <conf-num>17</conf-num>
        <conf-loc>Wuhan, China</conf-loc>
      </conference>
    </article-meta>
  </front>
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