Literature DB >> 25522522

Investigation and assessment of heavy metals in surface sediments of Ganjiang River, China.

Yong Ji, Jie Zhangi, Xueping Huang, Chengrong Bai, Xing Chen.   

Abstract

Surface sediment samples were collected from four sampling areas (Ganzhou nonferrous metal processing zones (GZ), Jian city sewage discharge areas (JA), Non city areas (NC) and Zhangshu middle-city areas (ZS)) to investigate the degree and chemical partitioning of heavy metals. Samples were analyzed for Cu, Zn, Pb, Cd, Cr, As and Ni using sequential extraction scheme. Based on geo-statistics analyses, the results showed maximum values of Cu (131.84 μg g(-1)), Zn (290.68 μg g(-1)), Cd (99.57 μg g(-1)), Cr (53.75 μg g(-1)), As (25.58 μg g(-1)) and Ni (64.75 μg g(11)) were in sediments dated at GZ areas, while ZS areas had the highest concentrations of Pb (128.51 μg g(-1)). Almost all metal values were higher than their corresponding background values in the following order: Ni < Cr < Zn < Pb < As < Cu < Cd. Meanwhile, sediments showed that heavy metals were predominantly occured in Fe-Mn oxide, residual, organic, exchangeable and carbonate fractions respectively. It was found that concentration in carbonate fractions were generally low for most of the studied metals. The geo-accumulation index and sediment quality values were used to determine the potential risk of heavy metal contamination. The results of geo-accumulation index indicated that contamination degree ranged from uncontaminated to extremely contaminated degrees. When metal partitioning characteristics were also considered, over 60% of metals showed potential bioavailability and toxic effects were probable.

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Year:  2014        PMID: 25522522

Source DB:  PubMed          Journal:  J Environ Biol        ISSN: 0254-8704


  1 in total

1.  Spatial characterization, risk assessment, and statistical source identification of the dissolved trace elements in the Ganjiang River-feeding tributary of the Poyang Lake, China.

Authors:  Hua Zhang; Yinghui Jiang; Min Wang; Peng Wang; Guangxun Shi; Mingjun Ding
Journal:  Environ Sci Pollut Res Int       Date:  2016-11-14       Impact factor: 4.223

  1 in total

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