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Vol. 25 No. 4 (2013): Vol 25 Issue 4

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Multivariate Statistics and Heavy Metals Contamination in Beach Sediments from The Sakarya Canyon, Turkey

https://doi.org/10.14233/ajchem.2013.13309
M. Gurhan Yalcin
Department of Geological Engineering, Faculty of Engineering, Akdeniz University, 07058 Antalya, Turkey
Gunseli Simsek
Department of Geological Engineering, Faculty of Engineering, Nigde University, 51200 Nigde, Turkey
Sema Bilge Ocak
Gazi University, Atatürk Junior Technical College, Ankara, Turkey
Fusun Yalcin
Department of Mathematics, Faculty of Science, Akdeniz University, 07058 Antalya, Turkey
Yakup Kalayci
Ankara Nuclear Research and Training Center, 06100 Besevler, Ankara, Turkey
M. Erkan Karaman
Department of Geological Engineering, Faculty of Engineering, Akdeniz University, 07058 Antalya, Turkey

Corresponding Author(s) : M. Gurhan Yalcin

gurhanyalcin@akdeniz.edu.tr; gurhan46@gmail.com

Asian Journal of Chemistry, Vol. 25 No. 4 (2013): Vol 25 Issue 4

Abstract

The aim of the study is to determine heavy metal contents and their possible origins that represent the variability of The Sakarya Canyon coastal sediments. In addition to determine the source of heavy metals (natural and anthropogenic), simple and multivariate statistical analyses were applied to the samples. In all the samples, ignition loss ratio is between 0.01-0.09. 47.26 % of the samples, which have 0.5-0.25 mm, show very good sorting. G10, G19, G20 and G21 reflect the conditions of the irregular sedimentary environment. The heavy metals, Fe, Mg, Ti, Cr, Zn, Pb and Cu, are considered to come from near regions according to frequency histograms. By principal component analysis (PCA; factor 1: 40.911 %; factor 2: 21.558 %; factor 3: 13.548 %) and cluster analysis, heavy metals were formed three (3) groups. According to hierarchical cluster analysis, Q-type cluster at the similarity level of 50 % form three (3) different groups and they show the same features during pollution. These results reveal that they are highly reliable data for statistical data of model summary (according to the value R2 = 100) and Anova 21 explanation value. According to maximum abundances As:G4; Ni:G7; Mg, Ti, Mn, Fe, V, Cr, Co, Nb:G13; Cu, Zr, Sn:G20; Al, Zn, Ga, Cd, Pb:G22 stations showed the highest anomaly. Influence of anthropogenic can be constituted in this region coming from port wastes, mining operations, road pollution, urban wastes and industrial wastes.

Keywords

Heavy metal Multivariate statistic Beach sand Multivariate Sakarya Canyon
Gurhan Yalcin, M., Simsek, G., Bilge Ocak, S., Yalcin, F., Kalayci, Y., & Erkan Karaman, M. (2012). Multivariate Statistics and Heavy Metals Contamination in Beach Sediments from The Sakarya Canyon, Turkey. Asian Journal of Chemistry, 25(4), 2059–2066. https://doi.org/10.14233/ajchem.2013.13309
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