Sources of heavy metals in the Western Bay of Izmit surface sediments

Pekey H., Bakoglu M., Pekey B.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, vol.85, no.14, pp.1025-1036, 2005 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 85 Issue: 14
  • Publication Date: 2005
  • Doi Number: 10.1080/03067310500194953
  • Journal Name: INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1025-1036
  • Keywords: surface sediment, source apportionment, factor analysis, factor analysis/multiple regression, heavy metals, total organic carbon, AROMATIC-HYDROCARBONS PAHS, SOURCE APPORTIONMENT, TRACE-METALS, PARTICULATE MATTER, RECEPTOR MODELS, RIVER ESTUARY, POLLUTION, SEA, MARMARA, ELEMENTS
  • Middle East Technical University Affiliated: No

Abstract

The study aimed to examine source apportionment of heavy metals of the surface sediments in the < 63 mu m size fraction. The sediment samples collected from 34 sites at the Western Bay of Izmit were subjected to a total digestion technique and analysed for major (total organic carbon, Al, Fe, Mg, and S) and trace (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, Sn, V, and Zn) elements by inductively coupled plasma-atomic emission spectrometry. The results were compared with the marine sediment quality standards, as well as literature values reported to assess the pollution status of the sediments. A factor analysis/multiple regression (FA/MR) multivariate receptor modelling technique was used for quantitative source apportionment to estimate the contributions from each source of contamination. Source fingerprints were obtained from the literature. A varimax rotated factor analysis was applied to the whole data set, and four probable source types were identified as the iron and steel industry, paint industry, crustal and sewage for heavy metals, explaining about 84% of the total variance. Source apportionment results derived from the FA and FA/MR methods agree well with each other.