title: Distribution and chemical partitioning of heavy metals in marine near-shore sediment cores: a case study from the Xugou, Lianyungang, China.
abstract: The concentrations and chemical partitioning of heavy metals (Co, Cr, Ni, Zn, Cu, and Pb) in the marine near-shore sediment cores were investigated. Typically, the mean concentrations from Core B sediment samples were 98.6, 21.1, 47.0, 46.4, 107.6, and 31.9 mg kg( - 1) for Cr, Co, Ni, Cu, Zn, and Pb, respectively. The heavy metal concentrations were normalized to commonly used reference elements Al, Li, Sc, and total organic carbon. Based on Pearson coefficients, Li was found to be a good normalizer for Co (r = 0.974), Cr (r = 0.967), Ni (r = 0.898), and Zn (r = 0.929) in 80 sediment samples from three sampling sites. However, the correlation coefficients between Li and Cu, and Li and Pb were relatively low. Multivariate statistic approaches (Principal Component Analysis and Cluster Analysis) were adopted for data treatment, allowing the identification of two main factors controlling the heavy metal variability in the sediments. Heavy metals in the enrichment sections were evaluated by a sequential extraction method for possible chemical forms in sediments. The results showed that the residual, Fe/Mn oxides and Organic/sulfide fractions were dominant geochemical phases in the enriched sections, indicating low bioavailability of heavy metals in sediments.
authors.affiliation: School of Chemical Engineering, Huaihai Institute of Technology, Lianyungang, Jiangsu 222005, China. snowpine1969@yahoo.com.cn
authors.forename: Xue Song
authors.initials: XS
authors.lastname: Wang
authors.forename: Guang Chao
authors.initials: GC
authors.lastname: Zhu
authors.forename: Shu Jun
authors.initials: SJ
authors.lastname: Wang
authors.forename: Wen Ya
authors.initials: WY
authors.lastname: Wan
authors.forename: Ye Bin
authors.initials: YB
authors.lastname: Tan
mesh_terms: D002681:China; D004784:Environmental Monitoring; D019015:Geologic Sediments / Q000737:chemistry*; D019216:Metals, Heavy / Q000032:analysis*; D015999:Multivariate Analysis; D012623:Seawater / Q000737:chemistry; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data
chemical_list: D019216:Metals, Heavy; D014874:Water Pollutants, Chemical