The Effects of Large Borate Deposits on Groundwater Quality

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dc.authoridUĞURLUOĞLU, Alper/0000-0002-8000-7688
dc.authoridTokatlı, Cem/0000-0003-2080-7920
dc.authorwosidUĞURLUOĞLU, Alper/JBS-0738-2023
dc.authorwosidTokatlı, Cem/AAN-3814-2021
dc.contributor.authorCicek, Arzu
dc.contributor.authorBakis, Recep
dc.contributor.authorUgurluoglu, Alper
dc.contributor.authorKose, Esengul
dc.contributor.authorTokatli, Cem
dc.date.accessioned2024-06-12T10:52:30Z
dc.date.available2024-06-12T10:52:30Z
dc.date.issued2013
dc.departmentTrakya Üniversitesien_US
dc.description.abstractSeydisuyu Basin, which contains very important agricultural areas and boron deposits of Turkey, is located in Eskisehir province. In this paper, the groundwater quality of Seydisuyu Basin was evaluated by using some physiochemical (temperature, conductivity, salinity, and demanded oxygen) and chemical (boron and arsenic) parameters. Groundwater samples were collected seasonally (2011-12) from 14 wells from the Seydisuyu Basin and all of the data obtained experimentally were compared with national and international drinking and usage water standards. Also, cluster analysis (CA) was applied to the results to classify the stations according to the contents of arsenic and boron levels by using the Past package program, factor analysis (FA) was applied to the results to classify the affective factors on groundwater quality, and Pearson Correlation Index was applied to the results to determine the relations of parameters by using the SPSS 17 package program. According to data, arsenic and boron accumulations of wells were higher than the drinking water limits specified by the Turkish Standards Institute (TS266), European Communities (EC), and World Health Organization (WHO) Drinking Water Standards. According to the results of FA, three effective factors that explain 76.36% of the total variance was detected and arsenic-boron contents of groundwater were positively loaded with the second factor, named as Boron Works and Environmental Factor?' According to results of CA identified by using arsenic and boron accumulations, station 1, which was the closest well to the boron facility, showed the highest distance and lowest similarity with the other stations.en_US
dc.description.sponsorshipAnadolu University, Turkey; [1101F011]en_US
dc.description.sponsorshipThe authors would like to acknowledge the financial and technical support of Anadolu University, Turkey. This investigation has been supported by project No. 1101F011 accepted by Anadolu University, Commission of Scientific Research Projects.en_US
dc.identifier.endpage1037en_US
dc.identifier.issn1230-1485
dc.identifier.issn2083-5906
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84886917040en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1031en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/18735
dc.identifier.volume22en_US
dc.identifier.wosWOS:000323402700005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherHarden_US
dc.relation.ispartofPolish Journal Of Environmental Studiesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArsenicen_US
dc.subjectBoronen_US
dc.subjectGroundwater Qualityen_US
dc.subjectSeydisuyu Basinen_US
dc.subjectMultivariate Statisticen_US
dc.subjectGreeceen_US
dc.subjectAreaen_US
dc.titleThe Effects of Large Borate Deposits on Groundwater Qualityen_US
dc.typeArticleen_US

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