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Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method

机译:基于可变模糊集理论和模糊二元比较法的河流水质评价

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摘要

There has been an increasing need for the proper evaluation of river water quality in order to safeguard public health and to protect the valuable fresh water resources. In order to overcome the own limitations of the traditional evaluations which can only use a point value instead of an interval for grading standards, on the basis of the fuzzy binary comparison method (FBCM) and the theory of variable fuzzy sets (VFS), an integrated variable fuzzy evaluation model (VFEM) is proposed for the assessment of river water quality in this paper. This model possesses the preciseness of the algorithm and operability in practice, can well solve the grading standards which are interval form. In order to explore and compare the present method with other traditional methods, two cases studies in the Three Gorges and Tseng-Wen River are made. The results show that the proposed VFEM method can convey water cleanliness to certain degree by using the eigenvector of level H, which is much stricter in the superior level, and that it can improve the veracity for the assessment of water quality.
机译:为了保护公众健康和保护宝贵的淡水资源,越来越需要对河流水质进行适当的评估。为了克服传统评估自身的局限性,在基于模糊二进制比较法(FBCM)和可变模糊集(VFS)的理论的基础上,只能使用点值而不是区间来进行标准评分。本文提出了一种综合变量模糊评价模型(VFEM)对河流水质进行评价。该模型在实践中具有算法的准确性和可操作性,可以很好地解决区间形式的分级标准。为了探索和比较本方法与其他传统方法,在三峡和曾文河进行了两个案例研究。结果表明,所提出的VFEM方法可以通过使用水平H的特征向量在一定程度上传达水的清洁度,该特征向量在较高水平上更为严格,并且可以提高水质评估的准确性。

著录项

  • 来源
    《Water Resources Management》 |2014年第12期|4183-4200|共18页
  • 作者单位

    School of Water conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450011, People's Republic of China;

    School of Water conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450011, People's Republic of China,Water Resources and Flood Control, Dalian University of Technology, Dalian 116085, People's Republic of China;

    Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hung Hom, Hong Kong, People's Republic of China;

    School of Water conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450011, People's Republic of China;

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

    Water quality; Variable fuzzy sets; Variable fuzzy evaluation model; Fuzzy binary comparison method;

    机译:水质;可变模糊集;可变模糊评价模型模糊二元比较法;

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