Application of multivariate statistical approach to identify heavy metal sources in bottom soil of the Seyhan River (Adana), Turkey

dc.authorid0000-0002-8011-5371
dc.authorid0000-0003-1215-8748
dc.contributor.authorYalcin, M. Gurhan
dc.contributor.authorTumuklu, Ali
dc.contributor.authorSonmez, Mustafa
dc.contributor.authorErdag, Dilek Satir
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2010
dc.departmentNiğde ÖHÜ
dc.description.abstractIn this study, freshly deposited soils were sampled from the Seyhan River (Turkey) from the exit of the Seyhan Dam to the Adana exit. Heavy metal contents were measured with X-ray fluorescence spectrometer. Multivariate statistical approach is used to identify the sources of heavy metals and other elements in soil samples. Considering the size of anomalies, metals are ranked as Co > Pb > Cr > Zn > Al. Based on the hierarchical cluster analysis results, three clusters were observed. P, Mg, Ti, Fe, Ca, Na, K, Al, Si, and Nb form the first cluster, Zn, Sr, Pb, and Cr associated as the second cluster, and Ba and Co form the third cluster. Three factors computed from principal component analysis are explained with a cumulative variance of 95%. The first factor is defined with "high background lithogenic factor" Co, the second factor with "local industrial factor" Pb, Cr, Ba, and Mg, and the third factor with "natural factor" Cr and Pb.
dc.identifier.doi10.1007/s10661-009-0894-9
dc.identifier.endpage322
dc.identifier.issn0167-6369
dc.identifier.issue45383
dc.identifier.pmid19381847
dc.identifier.scopus2-s2.0-77952293638
dc.identifier.scopusqualityQ2
dc.identifier.startpage311
dc.identifier.urihttps://dx.doi.org/10.1007/s10661-009-0894-9
dc.identifier.urihttps://hdl.handle.net/11480/4885
dc.identifier.volume164
dc.identifier.wosWOS:000276655700026
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherSPRINGER
dc.relation.ispartofENVIRONMENTAL MONITORING AND ASSESSMENT
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectHeavy metals
dc.subjectSoil contamination
dc.subjectMultivariate statistical
dc.subjectCluster analysis
dc.subjectSeyhan River
dc.subjectAdana
dc.titleApplication of multivariate statistical approach to identify heavy metal sources in bottom soil of the Seyhan River (Adana), Turkey
dc.typeArticle

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