Monitoring spatiotemporal dynamics of indoor radon concentrations in the built environment of a university campus
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Dosyalar
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Parlar Scientific Publications (P S P)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study aims to model spatiotemporal variability of indoor radon (Rn-222) concentrations measured for one year from May 2012 to May 2013 in the built environment of Abant Izzet Baysal University. There exist a few studies about data driven modeling of spatiotemporal dynamics of indoor radon and their validation. Mean indoor radon concentration varied spatially between 14 +/- 8.5 Bq/m(3) and 28.5 +/- 17.5 Bq/m(3) and on a monthly basis between 37.3 +/- 21.6 Bq/m(3) in September and 13.1 +/- 7.7 Bq/m3 in April, and on a seasonal basis between 23.4 +/- 18.4 Bq/m3 for the summer period of June to September and 13.3 +/- 7.9 Bq/m(3) for the spring period of April to May. The best-fit multiple non-linear regression (MNLR) model developed in this study elucidated 57.9% (R-adj(2)) of the spatiotemporal variability, with a cross-validation derived predictive power of 57.1% (R-cv(2)). The two-way interactions among the temporal predictors of hour and month, air temperature, relative humidity, and location were most influential in predicting indoor radon levels. Parsimonious versus data hungry empirical non-black-box models appear to be of great practical importance to the quantification, monitoring, and mapping of short and long-term local, regional, or global spatiotemporal dynamics of indoor and outdoor radon concentrations.
Açıklama
Anahtar Kelimeler
Indoor Radon, Indoor Air Quality, Air Quality Monitoring, Empirical Modeling, Spatiotemporal Dynamics
Kaynak
Fresenius Environmental Bulletin
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
25
Sayı
3