中国地理科学(英文版) ›› 2010, Vol. 20 ›› Issue (1): 9-17.doi: 10.1007/s11769-010-0009-0

• 论文 • 上一篇    下一篇

Assessment of Heavy Metal Pollution in Estuarine Surface Sediments of Tangxi River in Chaohu Lake Basin

LI Ruzhong1,2, SHU Kun1, LUO Yueying1, SHI Yong1   

  1. 1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China;
    2. School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China
  • 收稿日期:2009-06-08 修回日期:2009-11-10 出版日期:2009-12-01 发布日期:2010-04-23
  • 通讯作者: LI Ruzhong.E-mail:Lrz1970@163.com E-mail:Lrz1970@163.com
  • 基金资助:

    Under the auspices of the Key Technology R&D Program of Anhui Province,China (No.07010302165)

Assessment of Heavy Metal Pollution in Estuarine Surface Sediments of Tangxi River in Chaohu Lake Basin

LI Ruzhong1,2, SHU Kun1, LUO Yueying1, SHI Yong1   

  1. 1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China;
    2. School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China
  • Received:2009-06-08 Revised:2009-11-10 Online:2009-12-01 Published:2010-04-23
  • Supported by:

    Under the auspices of the Key Technology R&D Program of Anhui Province,China (No.07010302165)

摘要:

A total of 30 surface sediments samples from the estuary wetland of the Tangxi River, Chaohu Lake Basin were obtained and tested.Enrichment factor(EF) and geoaccumulation index(Igeo) as well as multivariate statistical analysis methods including Factor Analysis(FA) and Hierarchical Cluster Analysis(HCA) were applied for the assessment of heavy metal pollution in surface sediments.The results of EF values show that the pollution of copper(Cu) and cadmium(Cd) occurs in the estuarine sediments, and that zinc(Zn), lead(Pb) and chrome(Cr) may originate from crustal materials or natural weathering process.The mean EF values of the five heavy metals are in the decreasing order:Cu>Cd>Zn>Pb>Cr.Based on the Igeo of target heavy metals, the surface sediments collected from the study area can be approximately categorized as unpolluted with Zn, Pb and Cr, and moderately polluted with Cu and Cd.The degree of heavy metal pollution decreases in the order of Cu>Cd>Zn>Pb>Cr.Three groups of pollution factors are presented from FA:Zn-TOC, Cu-Cd and Cr-Pb, which respectively accounte for 27.22%, 25.20% and 21.05% of variance.By means of HCA, a total number of seven groups are distinguished from 30 sampling sites.Results indicate that Cu and Cd are the prior controlled pollutants in the estuarine sediments of the Tangxi River.

关键词: heavy metal pollution, sediment, estuary, multivariate analysis, Chaohu Lake Basin

Abstract:

A total of 30 surface sediments samples from the estuary wetland of the Tangxi River, Chaohu Lake Basin were obtained and tested.Enrichment factor(EF) and geoaccumulation index(Igeo) as well as multivariate statistical analysis methods including Factor Analysis(FA) and Hierarchical Cluster Analysis(HCA) were applied for the assessment of heavy metal pollution in surface sediments.The results of EF values show that the pollution of copper(Cu) and cadmium(Cd) occurs in the estuarine sediments, and that zinc(Zn), lead(Pb) and chrome(Cr) may originate from crustal materials or natural weathering process.The mean EF values of the five heavy metals are in the decreasing order:Cu>Cd>Zn>Pb>Cr.Based on the Igeo of target heavy metals, the surface sediments collected from the study area can be approximately categorized as unpolluted with Zn, Pb and Cr, and moderately polluted with Cu and Cd.The degree of heavy metal pollution decreases in the order of Cu>Cd>Zn>Pb>Cr.Three groups of pollution factors are presented from FA:Zn-TOC, Cu-Cd and Cr-Pb, which respectively accounte for 27.22%, 25.20% and 21.05% of variance.By means of HCA, a total number of seven groups are distinguished from 30 sampling sites.Results indicate that Cu and Cd are the prior controlled pollutants in the estuarine sediments of the Tangxi River.

Key words: heavy metal pollution, sediment, estuary, multivariate analysis, Chaohu Lake Basin