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Introducing Biological Indicators into CCME WQI Using Variable Fuzzy Set Method

机译：使用可变模糊集方法将生物指标引入CCME WQI

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摘要

The biological indicators are rarely used in CCME WQI, for the objective thresholds of most biological indicators are ambiguous. To solve this problem, this study establishes an improved CCME WQI model based on variable fuzzy set theory. The water quality of Wuli Lake is assessed as an illustration; and the result shows that its water quality condition is "fair", and more measures should be adopted to control the internal phosphorus releasing and the reproduction of cyanobacteria in summer and autumn. Moreover, compared with the conventional CCME CQI, the improved CCME WQI is more comprehensive, for it not only takes the aquatic physic-chemical condition into consideration, but also introduces the biological indicators into evaluation.
机译：CCME WQI中很少使用生物学指标，因为大多数生物学指标的客观阈值尚不明确。为解决这一问题，本研究建立了基于可变模糊集理论的改进CCME WQI模型。以五里湖水质为例进行说明。结果表明，该地区水质状况良好，夏，秋季应采取更多措施控制磷的内部释放和蓝细菌的繁殖。此外，与常规CCME CQI相比，改进后的CCME WQI不仅考虑了水生理化条件，而且还将生物学指标引入了评估，因此更加全面。

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  • 来源
    《Water Resources Management》 |2018年第8期|2901-2915|共15页
  • 作者

    Feng Yan; Bao Qian; Chenglin Liu; Bowen Wei; Mang You;

  • 作者单位

    Nanchang Univ, Sch Civil Engn & Architecture, Nanchang 330031, Jiangxi, Peoples R China;

    Hydrol Bur Changjiang Water Resources Commiss, Wuhan 430010, Hubei, Peoples R China;

    Nanchang Univ, Sch Civil Engn & Architecture, Nanchang 330031, Jiangxi, Peoples R China;

    Nanchang Univ, Sch Civil Engn & Architecture, Nanchang 330031, Jiangxi, Peoples R China;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CCME WQI; Biological indicators; Variable fuzzy set; Wuli Lake;

    机译：CCME WQI生物指标可变模糊集五里湖;

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