1 Ocak 2013 Dergi makalesi Açık Erişim

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

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{
  "@context": "https://schema.org/", 
  "@id": 17117, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Abant Izzet Baysal Univ, Dept Environm Engn, Bolu, Turkey", 
      "name": "Evrendilek, Fatih"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Abant Izzet Baysal Univ, Dept Phys, Bolu, Turkey", 
      "name": "Denizli, Haluk"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Abant Izzet Baysal Univ, Dept Phys, Bolu, Turkey", 
      "name": "Yetis, Hakan"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Abant Izzet Baysal Univ, Dept Environm Engn, Bolu, Turkey", 
      "name": "Karakaya, Nusret"
    }
  ], 
  "datePublished": "2013-01-01", 
  "description": "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.", 
  "headline": "Monitoring spatiotemporal variations of diel radon concentrations in peatland and forest ecosystems based on neural network and regression models", 
  "identifier": 17117, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Monitoring spatiotemporal variations of diel radon concentrations in peatland and forest ecosystems based on neural network and regression models", 
  "url": "https://aperta.ulakbim.gov.tr/record/17117"
}