Determination of heavy metals in sediments of the Ergene River by BCR sequential extraction method
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- 作者：Ali Sungur (1)
Mustafa Soylak (2)
Selehattin Yilmaz (3)
Hasan ?zcan (1) - 关键词：Ergene River ; Sediment ; Heavy metal ; BCR sequential extraction ; Risk assessment code ; Cluster analysis
- 刊名：Environmental Earth Sciences
- 出版年：2014
- 出版时间：November 2014
- 年：2014
- 卷：72
- 期：9
- 页码：3293-3305
- 全文大小：1,155 KB
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19. Güne? E, Tal?nl? ? (2013) A site-spe - 作者单位：Ali Sungur (1)
Mustafa Soylak (2)
Selehattin Yilmaz (3)
Hasan ?zcan (1)
1. Department of Soil Science and Plant Nutrition, Faculty of Agriculture, ?anakkale Onsekiz Mart University, 17000, ?anakkale, Turkey
2. Department of Chemistry, Faculty of Sciences, Erciyes University, 38039, Kayseri, Turkey
3. Department of Chemistry, Faculty of Art and Science, ?anakkale Onsekiz Mart University, 17000, ?anakkale, Turkey - ISSN：1866-6299
文摘
Utilizing the sequential extraction procedure (acid soluble, reducible, oxidizable, and residual) proposed by The European Community Bureau of Reference (BCR), the trace metals present in the sediments of the Ergene River, Turkey, were determined. The sediment samples were collected from 10 sampling sites and analyzed to identify the concentrations of cadmium, cobalt, chromium, copper, manganese, nickel, lead and zinc. The flame atomic absorption spectrometer was used for metal determination. The validation of the results was checked by the analysis of the BCR-701 standard reference material. The relationship existing between the sediment characteristics and metal fractions was identified using the correlation analysis. Hierarchical cluster analysis was performed to find out the grouping of the sampling sites based on the similarities of the heavy metals in the bioavailable fraction. When the extractable amounts of heavy metals are considered, the quantity of the mobile fractions (viz., acid soluble, reducible, and oxidizable) of the heavy metals is observed to be higher when compared with that of the immobile fraction (residual). This might be caused by the anthropogenic sources. Besides, it was statistically discovered that the organic matter, pH and clay contents could influence the bonding of the analyte metals in various forms. The cluster analysis revealed three clusters of the sampling stations, with group I (S5-8) and group II (S3, S4 and S9) showing higher environmental risks. The risk assessment code indicated that the highly mobile soluble fractions of Mn, Zn, Cd and Co created a high environmental risk which could result in negative impacts on the aquatic biota.