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基于模糊水污染指数法的淠河流域水质评价

Water quality assessment in Qu River based on fuzzy water pollution index method.

机构信息

School of Economics and Management, Beihang University, Beijing 100191, China.

School of Economics and Management, Beihang University, Beijing 100191, China.

出版信息

J Environ Sci (China). 2016 Dec;50:87-92. doi: 10.1016/j.jes.2016.03.030. Epub 2016 Jul 1.

Abstract

A fuzzy improved water pollution index was proposed based on fuzzy inference system and water pollution index. This method can not only give a comprehensive water quality rank, but also describe the water quality situation with a quantitative value, which is convenient for the water quality comparison between the same ranks. This proposed method is used to assess water quality of Qu River in Sichuan, China. Data used in the assessment were collected from four monitoring stations from 2006 to 2010. The assessment results show that Qu River water quality presents a downward trend and the overall water quality in 2010 is the worst. The spatial variation indicates that water quality of Nanbashequ section is the pessimal. For the sake of comparison, fuzzy comprehensive evaluation and grey relational method were also employed to assess water quality of Qu River. The comparisons of these three approaches' assessment results show that the proposed method is reliable.

摘要

基于模糊推理系统和水污染指数,提出了一种模糊改进的水污染指数。该方法不仅可以给出综合水质等级,还可以用定量值描述水质状况,便于同级水质比较。该方法用于评估中国四川曲江的水质。评估中使用的数据是 2006 年至 2010 年从四个监测站收集的。评估结果表明,曲江水质呈下降趋势,2010 年整体水质最差。空间变化表明,南坝河口段水质最差。为了进行比较,还采用模糊综合评价法和灰色关联法对曲江水质进行了评价。这三种方法评估结果的比较表明,所提出的方法是可靠的。

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