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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
        <publisher-loc>IS&amp;T 7003 Kilworth Lane • Springfield, VA 22151 USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2021.3.MOBMU-039</article-id>
      <article-id pub-id-type="sici">2470-1173(20210618)2021:3L.391;1-</article-id>
      <article-id pub-id-type="publisher-id">ei_24701173_v2021n3_input/s7.xml</article-id>
      <article-id pub-id-type="other">/ist/ei/2021/00002021/00000003/art00006</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Pfeiffer</surname>
            <given-names>Thomas</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Dilip</surname>
            <given-names>Khadse Himanshu</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Suryawanshi</surname>
            <given-names>Raunak</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Kishnamurthy</surname>
            <given-names>Gnana Swaroop</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Téllez</surname>
            <given-names>Batcheva Domínguez</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Creutzburg</surname>
            <given-names>Reiner</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Hartmann</surname>
            <given-names>Michael</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>18</day>
        <month>06</month>
        <year>2021</year>
      </pub-date>
      <volume>2021</volume>
      <issue>3</issue>
      <fpage>39-1</fpage>
      <lpage>39-15</lpage>
      <permissions>
        <copyright-year>2021</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>Given the pandemic infection risk in classrooms and given the potential to purify COVID-19 prone air, this research team has visualized the flow of air to find the optimal position in a room. Through Schlieren imaging the air flow was studied to establish the circulation in the tested
 room. With a variation of air purifier positions in a model classroom, the imaging sensors have taken profiles of airflow and therefore contributed to identifying the optimal placings in heated classrooms. Given a random position of a potentially infected and COVID-19 infectious person, the
 systematic research measured concentrations of artificially produced particles that emulated aerosol distributions. The research established contaminations stabilizing after a quarter of an hour. The concentrations are only a fraction of the emitted effluents. In this way, the risk of superspreading
 can be mitigated and so the results allow continued academic work during the Corona pandemic</italic>
        </p>
      </abstract>
      <kwd-group>
        <kwd>aeroso</kwd>
        <kwd>Covid-19</kwd>
        <kwd>airflow visualization</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
