Use of Multivariate Statistics Methods to Determine Grain Size, Heavy Metal Distribution and Origins of Heavy Metals in Mersin Bay (Eastern Mediterranean) Coastal Sediments

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dc.authorid0000-0002-8011-5371
dc.contributor.authorYalcin, M. Gurhan
dc.contributor.authorCevik, Ozlem
dc.contributor.authorKaraman, M. Erkan
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2013
dc.departmentNiğde ÖHÜ
dc.description.abstractThe aim of the study was to determine variability, heavy Metal Content and potential origins of heavy metals of the sediments in a total of 60 locations representing coastal sediments of Mersin Bay,Grain size distribution and heavy metal contents were measured and multivariate statistical analyses were performed on obtained Values in grain size distribution, Oz-4, 5, 6, 11, 12, 13, 14, 15, 16, 18, 19, 22 23, 46, 48, 49, 50 Stations showed a bimodal distribution. This distribution developed due to river networks near the locations. Heavy metals are sequenced as Cr, Mn, Sr, Ni, V, Zn, Co, Zr, Rb, Ce, Cu, Sc, Li, Y, Pb, As, Nb, Mg, Fe, Al, Th and U from the higher value to the lower value according to their abundance: According to frequency histogram, Ni, Fe, Al, which showed the highest concentration values among heavy metals came from short medium distance; while Cr, Ti and Mn came from short distance. Based on these findings it should be thought,that heavy Metal sources affecting Study area are in short distances to study area All the elements were represented with three sector principal component analysis. Total variances of Pb, As, U, Th, Sb, P, La, Ba, Na, K, W, Ce, Li and Rb elements which represent (F1) factor were explained by 30.591 %. Variance of Mn, Fe, V, Ti, Al, Zr, Y, Sc and Hf elements which represent (F2) factor were explained by 18.749'%. Total Variance of Mo, U, Sr, Ca, P, Ti, Nb and Ta elements which represent the third factor (F3) were explained by 14.512 %. These data are significantly consistent with the dendongram prepared according to coefitic correlation coefficients. Hierarchical group analysis dendorigram showed that Q-type cluster had a 50 % arbitrary Similarity level and that contamination generally occurred in group 3. It can be thought that similar groups had the same properties during contamination. In regression data performed according to Fe; "Model summary" (according to R-2 = 99.8 value) was Significantly adequate for Statistical data and "Anova". was highly reliable with 36 explanatory Variables. Heavy metals in the study area such as Cr, Mn, Ni, Zn, Co, Cu, Pb, Mg, Al, Cd, Sb and Ti might show toxic effects. Heavy metals, such as As, Ag, Fe, Mo And Sn should also be paid attention. Al, Fe, Ti, Mn, Cr, Ni, Co, Pb, Zn and V showed an anomaly according to Kizkalesi and Susanoglu coastal sand. Cr, Ni, Co, Mg, Ti, Fe and Mn increased due to Mersin Ophiolite. The areas where basie/ultrabasic rocks outcropped in the region can be considered as the source of natural contaminations. Anthropogenic factors, coastal sediments, coastal erosion and lithological effects are the main causes of contamination in the study area, which covers a very wide area. In addition, the port, river entrances, highway, urban wastes, tourist facilities and industrial sites increased the density of anthropogenic effect.
dc.description.sponsorshipScientific Research Projects Unit of Akdeniz University
dc.description.sponsorshipThis study contains a part of Master of Science thesis and Scientific Research Projects of Nigde University prepared by Ozlem CEVIK. The financial support of the Scientific Research Projects Unit of Akdeniz University is gratefully acknowledged.
dc.identifier.doi10.14233/ajchem.2013.13683
dc.identifier.endpage2702
dc.identifier.issn0970-7077
dc.identifier.issn0975-427X
dc.identifier.issue5
dc.identifier.scopus2-s2.0-84875117884
dc.identifier.scopusqualityQ4
dc.identifier.startpage2696
dc.identifier.urihttps://dx.doi.org/10.14233/ajchem.2013.13683
dc.identifier.urihttps://hdl.handle.net/11480/4410
dc.identifier.volume25
dc.identifier.wosWOS:000317245800075
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherASIAN JOURNAL OF CHEMISTRY
dc.relation.ispartofASIAN JOURNAL OF CHEMISTRY
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectHeavy metals
dc.subjectMultivariate analysis
dc.subjectDune sediments
dc.subjectMersin bay
dc.titleUse of Multivariate Statistics Methods to Determine Grain Size, Heavy Metal Distribution and Origins of Heavy Metals in Mersin Bay (Eastern Mediterranean) Coastal Sediments
dc.typeArticle

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