Monitoring spatiotemporal dynamics of indoor radon concentrations in the built environment of a university campus

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dc.authorid0000-0001-9423-0445en_US
dc.authorid0000-0003-1099-4363en_US
dc.authorid0000-0003-2276-6747
dc.authorid0000-0003-1570-0344
dc.contributor.authorAtik, Şeyma
dc.contributor.authorYetiş, Hakan
dc.contributor.authorDenizli, Haluk
dc.contributor.authorEvrendilek, Fatih
dc.date.accessioned2021-06-23T19:44:37Z
dc.date.available2021-06-23T19:44:37Z
dc.date.issued2016
dc.departmentBAİBÜ, Fen Edebiyat Fakültesi, Fizik Bölümüen_US
dc.description.abstractThis 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.en_US
dc.identifier.endpage829en_US
dc.identifier.issn1018-4619
dc.identifier.issn1610-2304
dc.identifier.issue3en_US
dc.identifier.startpage823en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9016
dc.identifier.urihttps://www.webofscience.com/wos/woscc/full-record/WOS:000373523600016
dc.identifier.volume25en_US
dc.identifier.wosWOS:000373523600016en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorAtik, Şeyma
dc.institutionauthorYetiş, Hakan
dc.institutionauthorDenizli, Haluk
dc.institutionauthorEvrendilek, Fatih
dc.language.isoenen_US
dc.publisherParlar Scientific Publications (P S P)en_US
dc.relation.ispartofFresenius Environmental Bulletinen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIndoor Radonen_US
dc.subjectIndoor Air Qualityen_US
dc.subjectAir Quality Monitoringen_US
dc.subjectEmpirical Modelingen_US
dc.subjectSpatiotemporal Dynamicsen_US
dc.titleMonitoring spatiotemporal dynamics of indoor radon concentrations in the built environment of a university campusen_US
dc.typeArticleen_US

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