1 Ocak 2013 Dergi makalesi Açık Erişim

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

Citation Style Language JSON

{
  "DOI": "10.1007/s10661-012-2968-3", 
  "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.", 
  "author": [
    {
      "family": "Evrendilek", 
      "given": " Fatih"
    }, 
    {
      "family": "Denizli", 
      "given": " Haluk"
    }, 
    {
      "family": "Yetis", 
      "given": " Hakan"
    }, 
    {
      "family": "Karakaya", 
      "given": " Nusret"
    }
  ], 
  "container_title": "ENVIRONMENTAL MONITORING AND ASSESSMENT", 
  "id": "17117", 
  "issue": "7", 
  "issued": {
    "date-parts": [
      [
        2013, 
        1, 
        1
      ]
    ]
  }, 
  "page": "5577-5583", 
  "title": "Monitoring spatiotemporal variations of diel radon concentrations in peatland and forest ecosystems based on neural network and regression models", 
  "type": "article-journal", 
  "volume": "185"
}