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人工湿地污水处理系统三种红树植物抗性生理特性

靖元孝1,2;任延丽2;杨丹菁3;韩慧丽2;肖林2;陈桂珠1   

  1. 1中山大学环境科学与工程学院, 广州 510275;2华南师范大学生命科学学院, 广州 510631;3广州市环境保护科学研究所, 广州 510620
  • 收稿日期:2005-07-25 修回日期:2006-05-28 出版日期:2006-08-18 发布日期:2006-08-18

Resistant physiology of three mangrove species in a constructed wetland sewage treatment system

JING Yuanxiao1,2; REN Yanli2; YANG Danjing3; HAN Huili2; XIAO Lin2; CHEN Guizhu1   

  1. 1School of Environmental Science and Engineering, Zhongshan University, Guangzhou, 510275, China; 2College of Life Science, South China Normal University, Guangzhou 510631, China; 3Guangzhou Research Institute of Environmental Protection, Guangzhou 510620, China
  • Received:2005-07-25 Revised:2006-05-28 Online:2006-08-18 Published:2006-08-18

摘要: 研究了淡水条件下潜流型人工湿地污水处理系统中红树植物海桑、桐花树和木榄的抗性生理特性.结果表明,在为期1年的试验中,人工湿地污水处理系统3种红树植物超氧物歧化(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性持续升高并维持在较高水平,脯氨酸含量在7~9月达到最高水平,质膜透性没有明显的变化规律.对人工湿地与深圳福田自然保护区3种红树植物抗性生理指标进行比较,前者SOD、POD和CAT活性明显低于后者,脯氨酸含量前者明显高于后者,而丙二醛(MDA)含量和质膜透性则两者没有差别.3种红树植物能较好地适应淡水条件下潜流型人工湿地污水处理系统.

关键词: 杉木, 生长, 模拟, 起伏型时间序列

Abstract: This paper studied the resistant physiology of three mangrove species, Sonneratia caseolaris, Aegiceras corniculatum and Bruguiera gymnorrhiza in a subsurface flowconstructed wetland sewage treatment system under freshwater condition. The results showed that in a year period, the superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT) activities of three mangrove species increased gradually and maintained at a high level, the proline content reached the maximum from July to September, while the plasma membrane permeability did not show any obvious change. In comparing with those grown in the Futian Nature Reserve of Shenzhen, three mangrove species in the test sewage treatment system had lower SOD, POD and CAT activities and higher proline content, while no significant difference was observed in the malondialdehyde (MDA) content and plasma membrane permeability. It was suggested that three mangrove species could adapt to the subsurface flow-constructed wetland sewage treatment system under freshwater condition.

Key words: Cunninghamia lanceolata, Growth, Simulating, Wave type time series