Monitoring spatiotemporal variations of diel radon concentrations in peatland and forest ecosystems based on neural network and regression models

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dc.authorid0000-0003-1099-4363en_US
dc.authorid0000-0002-0156-1657en_US
dc.authorid0000-0003-1570-0344en_US
dc.contributor.authorEvrendilek, Fatih
dc.contributor.authorDenizli, Haluk
dc.contributor.authorYetiş, Hakan
dc.contributor.authorKarakaya, Nusret
dc.date.accessioned2021-06-23T19:34:29Z
dc.date.available2021-06-23T19:34:29Z
dc.date.issued2013
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractConcentrations 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.en_US
dc.identifier.doi10.1007/s10661-012-2968-3
dc.identifier.endpage5583en_US
dc.identifier.issn0167-6369
dc.identifier.issn1573-2959
dc.identifier.issue7en_US
dc.identifier.pmid23096138en_US
dc.identifier.scopus2-s2.0-84878682952en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage5577en_US
dc.identifier.urihttps://doi.org/10.1007/s10661-012-2968-3
dc.identifier.urihttps://hdl.handle.net/20.500.12491/7531
dc.identifier.volume185en_US
dc.identifier.wosWOS:000319753600018en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorEvrendilek, Fatih
dc.institutionauthorDenizli, Haluk
dc.institutionauthorYetiş, Hakan
dc.institutionauthorKarakaya, Nusret
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEnvironmental Monitoring And Assessmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectForesten_US
dc.subjectModelingen_US
dc.subjectNeural Networksen_US
dc.subjectPeatlanden_US
dc.subjectRadon-222en_US
dc.titleMonitoring spatiotemporal variations of diel radon concentrations in peatland and forest ecosystems based on neural network and regression modelsen_US
dc.typeArticleen_US

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