苕溪流域典型区域重金属污染特征

吴纪南, 卢少勇, 李湘淩, 陈方鑫, 郑西强, 徐利斌. 苕溪流域典型区域重金属污染特征[J]. 环境工程学报, 2015, 9(11): 5206-5212. doi: 10.12030/j.cjee.20151112
引用本文: 吴纪南, 卢少勇, 李湘淩, 陈方鑫, 郑西强, 徐利斌. 苕溪流域典型区域重金属污染特征[J]. 环境工程学报, 2015, 9(11): 5206-5212. doi: 10.12030/j.cjee.20151112
Wu Jinan, Lu Shaoyong, Li Xiangling, Chen Fangxin, Zheng Xiqiang, Xu Libin. Characteristics of heavy metal pollution in sediments of typical areas in Tiaoxi River[J]. Chinese Journal of Environmental Engineering, 2015, 9(11): 5206-5212. doi: 10.12030/j.cjee.20151112
Citation: Wu Jinan, Lu Shaoyong, Li Xiangling, Chen Fangxin, Zheng Xiqiang, Xu Libin. Characteristics of heavy metal pollution in sediments of typical areas in Tiaoxi River[J]. Chinese Journal of Environmental Engineering, 2015, 9(11): 5206-5212. doi: 10.12030/j.cjee.20151112

苕溪流域典型区域重金属污染特征

  • 基金项目:

    国家自然科学基金资助项目(41373027)

    中央级公益性科研院所基本科研业务专项(2012-YSKY-14)

    国家"水体污染控制与治理"科技重大专项(2013ZX07101-014,2012ZX07105-002)

  • 中图分类号: X522

Characteristics of heavy metal pollution in sediments of typical areas in Tiaoxi River

  • Fund Project:
  • 摘要: 从苕溪流域景观单元角度研究重金属污染特征,因人类活动是重金属污染的主要来源,所以在苕溪流域内选择采集典型工业区、农业区和城镇生活区附近河道的沉积物,分析各典型区域重金属Pb、Cd、Cr、As、Hg、Cu和Zn的含量特征,并用潜在生态危害指数法评价。结果表明,按照《土壤环境质量标准》,苕溪流域典型工业区主要是Hg、Cu和As的污染,典型农业区和城镇生活区主要是Hg的污染。各元素间的相关性分析表明,在工业区:Zn-As、Zn-Pb和As-Pb之间存在相关关系,说明它们的同源性很高。在农业区:Cu-As、Cu-Cd之间存在显著相关关系,其来源有可能相似。在城镇生活区Zn-As、Zn-Cd之间存在很高的相关性,说明它们有很高的同源性。由多种重金属潜在潜在生态风险评价结果可知:苕溪流域典型工业区、城镇区和农业区的沉积物处于低潜在生态风险。
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    [4] Varol M. Assessment of heavy metal contamination in sediments of the Tigris River(Turkey) using pollution indices and multivariate statistical techniques. Journal of Hazardous Materials, 2011, 195: 355-364
    [5] 王利军, 卢新卫, 雷凯, 等. 渭河宝鸡段表层沉积物重金属污染研究. 农业环境科学学报, 2011, 30(2): 334-340 Wang Lijun, Lu Xinwei, Lei Kai, et al. Heavy metal pollution in surface sediment of Wei River(Baoji), China. Journal of Agro-Environment Science, 2011, 30(2): 334-340(in Chinese)
    [6] Batley G. E. Trace Element Speciation: Analytical Methods and Problems. Boca Raton, Florida: CRC Press, 1989
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    [11] 虎陈霞, 周立军, 黄组庆, 等. 苕溪流域农业面源污染的综合评价. 浙江农业学报, 2011, 23(6): 1199-1202 Hu Chenxia, Zhou Lijun, Huang Zuqing, et al. Comprehensive evaluation of water pollution caused by agricultural non-point source in Tiaoxi River. Acta Agriculturae Zhejiangensis, 2011, 23(6): 1199-1202(in Chinese)
    [12] 栾云霞, 李伟国, 陆安祥, 等. 原子荧光光谱法同时测定土壤中的砷和汞. 安徽农业科学, 2009, 37(12): 5344-5346 Luan Yunxia, Li Weiguo, Lu Anxiang, et al. Simultaneous detection of arsenic and mercury in soil with atomic fluorescence spectrometry. Journal of Anhui Agricultural Sciences, 2009, 37(12): 5344-5346(in Chinese)
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出版历程
  • 收稿日期:  2014-09-22
  • 刊出日期:  2015-11-18
吴纪南, 卢少勇, 李湘淩, 陈方鑫, 郑西强, 徐利斌. 苕溪流域典型区域重金属污染特征[J]. 环境工程学报, 2015, 9(11): 5206-5212. doi: 10.12030/j.cjee.20151112
引用本文: 吴纪南, 卢少勇, 李湘淩, 陈方鑫, 郑西强, 徐利斌. 苕溪流域典型区域重金属污染特征[J]. 环境工程学报, 2015, 9(11): 5206-5212. doi: 10.12030/j.cjee.20151112
Wu Jinan, Lu Shaoyong, Li Xiangling, Chen Fangxin, Zheng Xiqiang, Xu Libin. Characteristics of heavy metal pollution in sediments of typical areas in Tiaoxi River[J]. Chinese Journal of Environmental Engineering, 2015, 9(11): 5206-5212. doi: 10.12030/j.cjee.20151112
Citation: Wu Jinan, Lu Shaoyong, Li Xiangling, Chen Fangxin, Zheng Xiqiang, Xu Libin. Characteristics of heavy metal pollution in sediments of typical areas in Tiaoxi River[J]. Chinese Journal of Environmental Engineering, 2015, 9(11): 5206-5212. doi: 10.12030/j.cjee.20151112

苕溪流域典型区域重金属污染特征

  • 1.  合肥工业大学资源与环境工程学院, 合肥 238000
  • 2.  中国环境科学研究院环境基准与风险评估国家重点实验室, 国家环境保护湖泊污染控制重点实验室湖泊环境研究中心, 国家环境保护洞庭湖科学观测研究站, 湖泊工程技术中心, 北京 100012
  • 3.  安徽省环境科学研究院, 合肥 230071
基金项目:

国家自然科学基金资助项目(41373027)

中央级公益性科研院所基本科研业务专项(2012-YSKY-14)

国家"水体污染控制与治理"科技重大专项(2013ZX07101-014,2012ZX07105-002)

摘要: 从苕溪流域景观单元角度研究重金属污染特征,因人类活动是重金属污染的主要来源,所以在苕溪流域内选择采集典型工业区、农业区和城镇生活区附近河道的沉积物,分析各典型区域重金属Pb、Cd、Cr、As、Hg、Cu和Zn的含量特征,并用潜在生态危害指数法评价。结果表明,按照《土壤环境质量标准》,苕溪流域典型工业区主要是Hg、Cu和As的污染,典型农业区和城镇生活区主要是Hg的污染。各元素间的相关性分析表明,在工业区:Zn-As、Zn-Pb和As-Pb之间存在相关关系,说明它们的同源性很高。在农业区:Cu-As、Cu-Cd之间存在显著相关关系,其来源有可能相似。在城镇生活区Zn-As、Zn-Cd之间存在很高的相关性,说明它们有很高的同源性。由多种重金属潜在潜在生态风险评价结果可知:苕溪流域典型工业区、城镇区和农业区的沉积物处于低潜在生态风险。

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