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贡嘎山原始森林区苔藓植物重金属含量及其对汞的吸附特征

梁鹏1;杨永奎1;何磊2;王定勇1,3   

  1. 1西南大学资源环境学院, 重庆 400716;2四川师范大学生命科学学院,成都 600068;3重庆市农业资源与环境研究重点实验室, 重庆 400716
  • 收稿日期:2007-10-12 修回日期:1900-01-01 出版日期:2008-06-20 发布日期:2008-06-20

Heavy metals contents and Hg adsorption characteristics of mosses in virgin forest of Gongga Mountain.

LIANG Peng1;YANG Yong-kui1;HE Lei2;WANG Ding-yong1,3   

  1. 1College of Resources and Environment, Southwest University, Chongqing
    400716, China;2College of Life Science, Sichuan Normal University, Cheng
    du 600068, China;3Chongqing Key Laboratory of Agricultural Resources and
    Environment, Chongqing 400716, China
  • Received:2007-10-12 Revised:1900-01-01 Online:2008-06-20 Published:2008-06-20

摘要: 采集了贡嘎山海螺沟原始森林区的7种主要苔藓,分析了其重金属(Hg、Cr、Cd、Ni、Pb、Cu、Mn、Zn和Fe)含量,并选择两种分布较广的赤茎藓和多枝砂藓进行汞吸附试验.结果表明,贡嘎山海螺沟原始森林区7种苔藓的重金属含量均较低,除Cd含量与欧美地区背景值相当外,其他均低于欧美地区的背景含量,表明该地区大气未受重金属污染,大气环境质量良好. 两种苔藓对汞的吸附是一个主动快速的过程,2 h左右即达到吸附平衡,其吸附特征能很好地用Langmuir和Freundlich方程拟合,由Langmuir方程计算的两种苔藓对汞的最大吸附量分别为15.24和8.19 mg·g-1,表明它们具有较强的汞吸附能力,可用作大气汞污染的指示生物.

关键词: 强还原方法, 设施蔬菜地, 退化, 修复

Abstract: Seven main moss species in the Hailuogou virgin forest of Gongga Mountain were sampled to determine their heavy metals (Hg, Cr, Cd, Ni, Pb, Cu, Mn, Zn and Fe) content, and two widely distributed species, Pleurozium schreberi(Brid.) Mitt. and Racomitrium laetum Besch., were selected to study their Hg adsorption characteristics. The results showed that the heavy metals contents in the mosses were lower than the background values in Europe and America, except that the Cd had a comparable value, which indicated that the atmosphere in study area was not polluted by heavy metals and good in quality. The Hg adsorption byP. schreberi and R. laetum was an initiative and rapid process, with the equilibrium reached in about two hours, and could be well fitted by Freundlich and Langmuir equations. Based on Langmuir equation, the maximum Hg adsorption capacities of P. schreberi and R. laetum were 15.24 and 8.19 mg·g-1, respectively, suggesting that the two mosses had a good capacity of Hg adsorption, and could be used as the bio-monitors of atmospheric Hg pollution.

Key words: strong reductive approach, facility vegetable field, degradation, remediation.