Predictive modelling and seasonal analysis of water quality indicators: three different basins of Sanliurfa, Turkey

dc.contributor.author	Ilhan, Nagehan
dc.contributor.author	Demir Yetis, Aysegul
dc.contributor.author	Yesilnacar, Mehmet Irfan
dc.contributor.author	Atasoy, Ayse Dilek Sinanmis
dc.date.accessioned	2021-12-16T09:06:42Z
dc.date.available	2021-12-16T09:06:42Z
dc.identifier.issn	1387-585X
dc.identifier.uri	https://doi.org/10.1007/s10668-021-01566-y
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9840
dc.description.abstract	The 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 Sanliurfa. The determination of th
dc.description.sponsorship	Scientific & Technological Research Council of Turkey (TuBTAK) [104Y188, 110Y234]; Scientific Research Projects Committee of Cukurova University [MMF2012D5]
dc.language.iso	English
dc.publisher	Sprınger
dc.source	Envıronment Development And Sustaınabılıty
dc.title	Predictive modelling and seasonal analysis of water quality indicators: three different basins of Sanliurfa, Turkey
dc.type	Article; Early Access
dc.identifier.doi	10.1007/s10668-021-01566-y
dc.identifier.wos	WOS:000665776400001

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