1 Ocak 2013 Dergi makalesi Açık Erişim

Evrendilek, Fatih; Denizli, Haluk; Yetis, Hakan; Karakaya, Nusret

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/17117</identifier>
  <creators>
    <creator>
      <creatorName>Evrendilek, Fatih</creatorName>
      <givenName>Fatih</givenName>
      <familyName>Evrendilek</familyName>
      <affiliation>Abant Izzet Baysal Univ, Dept Environm Engn, Bolu, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Denizli, Haluk</creatorName>
      <givenName>Haluk</givenName>
      <familyName>Denizli</familyName>
      <affiliation>Abant Izzet Baysal Univ, Dept Phys, Bolu, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Yetis, Hakan</creatorName>
      <givenName>Hakan</givenName>
      <familyName>Yetis</familyName>
      <affiliation>Abant Izzet Baysal Univ, Dept Phys, Bolu, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Karakaya, Nusret</creatorName>
      <givenName>Nusret</givenName>
      <familyName>Karakaya</familyName>
      <affiliation>Abant Izzet Baysal Univ, Dept Environm Engn, Bolu, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Monitoring Spatiotemporal Variations Of Diel Radon Concentrations In Peatland And Forest Ecosystems Based On Neural Network And Regression Models</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2013</publicationYear>
  <dates>
    <date dateType="Issued">2013-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/17117</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1007/s10661-012-2968-3</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Concentrations of outdoor radon-222 (Rn-222) in temperate grazed peatland and deciduous forest in northwestern Turkey were measured, compared, and modeled using artificial neural networks (ANNs) and multiple nonlinear regression (MNLR) models. The best-performing multilayer perceptron model selected out of 28 ANNs considerably enhanced accuracy metrics in emulating Rn-222 concentrations relative to the MNLR model. The two ecosystems had similar diel patterns with the lowest Rn-222 concentrations in the afternoon and the highest ones near dawn. Mean level (5.1 + 2.5 Bq m(-3) h(-1)) of Rn-222 in the forest was three times smaller than that (15.8 + 9.7 Bq m(-3)) of Rn-222 in the peatland. Mean Rn-222 level had negative and positive relationships with air temperature and relative humidity, respectively.</description>
  </descriptions>
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