松花江干流底栖动物与水质相关性分析

赵然, 李中宇, 贾立明, 郭欣, 于宗灵, 陈威. 松花江干流底栖动物与水质相关性分析[J]. 环境化学, 2018, 37(1): 173-180. doi: 10.7524/j.issn.0254-6108.2017032401
引用本文: 赵然, 李中宇, 贾立明, 郭欣, 于宗灵, 陈威. 松花江干流底栖动物与水质相关性分析[J]. 环境化学, 2018, 37(1): 173-180. doi: 10.7524/j.issn.0254-6108.2017032401
ZHAO Ran, LI Zhongyu, JIA Liming, GUO Xin, YU Zongling, CHEN Wei. Correlation analysis between Macroinvertebrates and water quality of Songhua River[J]. Environmental Chemistry, 2018, 37(1): 173-180. doi: 10.7524/j.issn.0254-6108.2017032401
Citation: ZHAO Ran, LI Zhongyu, JIA Liming, GUO Xin, YU Zongling, CHEN Wei. Correlation analysis between Macroinvertebrates and water quality of Songhua River[J]. Environmental Chemistry, 2018, 37(1): 173-180. doi: 10.7524/j.issn.0254-6108.2017032401

松花江干流底栖动物与水质相关性分析

  • 基金项目:

    松花江水生态环境状况调查及国家水生生物监测应用示范(20160059)资助.

Correlation analysis between Macroinvertebrates and water quality of Songhua River

  • Fund Project: Supported by the Investigation on Aquatic Ecological Environment of Songhua River and Demonstration of National Aquatic Biological Monitoring Application (20160059).
  • 摘要: 生物指标监测可以综合反映水体各种污染物质相互作用的结果,具有综合性强、持续性久、敏感性高等特点,能对现行理化监测无法反映污染综合效应的缺陷进行补充.本文通过对松花江干流水体大型底栖无脊椎动物实际状况的调查与分析,结合典范对应分析(CCA)及BIOENV分析对底栖动物群落与环境因子进行相关性分析得出结论,总磷为研究区域内底栖动物群落变化的主要影响因子.为科学评估松花江流域水污染防治规划的实施效果和让松花江休养生息政策措施的绩效,全面评价流域污染物减排效果提供了生物学依据.
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    LIU Y P,WANG L H, LIU W,et al.Reasearch of organic pollution's character in Songhua River[J].Environmental Science and Management,2006,31(3):73-75(in Chinese).

    [2] 赵文.水生生物学[M].北京:中国农业出版社,2005. ZHAO W. Aquatic biology[M]. Beijing:China Agriculture Press,2005(in Chinese).
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    YUAN X Y.Primary appraisal of pollution for lakes of China[J]. Volcanology &Mineral Resources,2000,21(2):128-136(in Chinese).

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    LI J P, LI W. Biological indicator and environmentalprotection[J].Yunnan Environmental Science, 2001, 20(1):51-54(in Chinese).

    [5] 刘梅,申双和,姚克敏.生物监测方法在大气污染监测中的应用[J].气象教育与技术,2000,23(3):23-26.

    LIU M,SHENS H,YAO K M.Application of biological monitoring method in air pollution monitoring[J]. Meteorological Education and Technology,2000,23(3):23-26(in Chinese).

    [6] 陈晓华,高伟,刘文亮.等.平原河网地区大型底栖动物群落结构及其与环境因子的关系[J]. 生态环境学报, 2013, 22(8):1310-1316.

    CHEN X H,GAO W,LIU W L,et al.characteristics of macrobenthos community structure and its relationship to environmental factors within a typical plain river network[J].Journal of Ecological Environment, 2013, 22(8):1310-1316(in Chinese).

    [7] TAKAMURA N, ITO T, UENO R, et al. Environmental gradients determining the distribution of benthic macroinvertebrate in lake Takkobu, Kushiro wetland, northern Japan[J]. Ecological Research, 2009,24(2):371-381.
    [8] FANINI L G, MARCHETTI M. Effects of beach nourishment and groynes building on population and community descriptors of mobile arthropodofauna[J]. Ecological Indicators, 2009,9(1):167-178.
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    [10] 杨莲芳. Aquatic insects of China Useful for Monitoring Water Quality[M].南京:河海大学出版社,1994. YANG L F. Aquatic insects of China Useful for Monitoring Water Quality[M].Nanjing:Hehai University Press,1994(in Chinese).
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出版历程
  • 收稿日期:  2017-03-24
  • 刊出日期:  2018-01-15
赵然, 李中宇, 贾立明, 郭欣, 于宗灵, 陈威. 松花江干流底栖动物与水质相关性分析[J]. 环境化学, 2018, 37(1): 173-180. doi: 10.7524/j.issn.0254-6108.2017032401
引用本文: 赵然, 李中宇, 贾立明, 郭欣, 于宗灵, 陈威. 松花江干流底栖动物与水质相关性分析[J]. 环境化学, 2018, 37(1): 173-180. doi: 10.7524/j.issn.0254-6108.2017032401
ZHAO Ran, LI Zhongyu, JIA Liming, GUO Xin, YU Zongling, CHEN Wei. Correlation analysis between Macroinvertebrates and water quality of Songhua River[J]. Environmental Chemistry, 2018, 37(1): 173-180. doi: 10.7524/j.issn.0254-6108.2017032401
Citation: ZHAO Ran, LI Zhongyu, JIA Liming, GUO Xin, YU Zongling, CHEN Wei. Correlation analysis between Macroinvertebrates and water quality of Songhua River[J]. Environmental Chemistry, 2018, 37(1): 173-180. doi: 10.7524/j.issn.0254-6108.2017032401

松花江干流底栖动物与水质相关性分析

  • 1. 黑龙江省环境监测中心站, 哈尔滨, 150056
基金项目:

松花江水生态环境状况调查及国家水生生物监测应用示范(20160059)资助.

摘要: 生物指标监测可以综合反映水体各种污染物质相互作用的结果,具有综合性强、持续性久、敏感性高等特点,能对现行理化监测无法反映污染综合效应的缺陷进行补充.本文通过对松花江干流水体大型底栖无脊椎动物实际状况的调查与分析,结合典范对应分析(CCA)及BIOENV分析对底栖动物群落与环境因子进行相关性分析得出结论,总磷为研究区域内底栖动物群落变化的主要影响因子.为科学评估松花江流域水污染防治规划的实施效果和让松花江休养生息政策措施的绩效,全面评价流域污染物减排效果提供了生物学依据.

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