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dc.contributor.authorİlhan, N.
dc.contributor.authorDemir, Yetiş, A.
dc.contributor.authorYeşilnacar, M.İ.
dc.contributor.authorAtasoy, A.D.S.
dc.date.accessioned2021-12-16T10:11:46Z
dc.date.available2021-12-16T10:11:46Z
dc.date.issued2021
dc.identifier.issn1387585X
dc.identifier.urihttps://doi.org/10.1007/s10668-021-01566-y
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12708
dc.description.abstractThe objective of this paper is twofold. First; we demonstrate the application of data mining techniques to predict quality indicators (TDS, Hardness, Na, Cl, SO4) of groundwater data measured in three different basins of Şanlıurfa. The determination of th
dc.description.sponsorshipMMF2012D5; 104Y188, 110Y234; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK
dc.language.isoEnglish
dc.publisherSpringer Science and Business Media B.V.
dc.sourceEnvironment, Development and Sustainability
dc.titlePredictive modelling and seasonal analysis of water quality indicators: three different basins of Şanlıurfa, Turkey
dc.typeArticle
dc.identifier.doi10.1007/s10668-021-01566-y
dc.identifier.scopus2-s2.0-85108645973


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