Literature DB >> 29273990

Distribution, contamination and accumulation of heavy metals in water, sediments, and freshwater shellfish from Liuyang River, Southern China.

Yuyu Jia1, Lin Wang2,3, Zhipeng Qu1, Zhaoguang Yang4,5,6.   

Abstract

Heavy metal distributions in water, sediments, and freshwater shellfish collected from Liuyang River in China have been investigated. The concentrations of heavy metals including Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Cd, and Pb were determined by ICP-MS. The distribution pattern of heavy metals in sediments was different from that in water. Large coefficients of variation of heavy metal concentrations were observed in water due to the susceptibility to discharge fluctuation and seasonal variation. Multivariate statistical analysis such as Pearson's correlation analysis, hierarchical cluster analysis (HCA), and principal component analysis (PCA) were employed to identify the possible sources of heavy metals in sediments. These heavy metals were categorized into three distinct groups, one was derived from natural existence and two were associated with anthropogenic activities. Five shellfish species including three species of gastropod mollusks (Parafossarulus eximius, Semisulcospira cancellata, and Pomacea canaliculata) and two species of bivalve mollusks (Corbicula fluminea and Anodonta woodiana) were collected and investigated. The distribution pattern of heavy metals in shellfish species was visualized by the nonmetric multidimensional scaling (NMDS) plot. The metal pollution index (MPI) values for the shellfish species were in the descending order of C. fluminea > A. woodiana > S. cancellata > P. eximius > P. canaliculata.

Entities:  

Keywords:  Bioconcentration factor; Coefficient of variation; ICP-MS; Metal pollution index; Pearson’s correlation analysis; Source identification

Mesh:

Substances:

Year:  2017        PMID: 29273990     DOI: 10.1007/s11356-017-1068-x

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  22 in total

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3.  Comprehensive assessments of ecological states of Songhua River using chemical analysis and bivalves as bioindicators.

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Review 5.  Concentrations, Distribution, and Pollution Assessment of Metals in River Sediments in China.

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  5 in total

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