title: Water quality assessment in Qu River based on fuzzy water pollution index method.
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.
authors.affiliation: School of Economics and Management, Beihang University, Beijing 100191, China. Electronic address: liranran1101@163.com.
authors.forename: Ranran
authors.initials: R
authors.lastname: Li
authors.affiliation: School of Economics and Management, Beihang University, Beijing 100191, China. Electronic address: zouzhihong@buaa.edu.cn.
authors.forename: Zhihong
authors.initials: Z
authors.lastname: Zou
authors.affiliation: School of Economics and Management, Beihang University, Beijing 100191, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: An
mesh_terms: D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D017143:Fuzzy Logic; D015233:Models, Statistical; D045483:Rivers / Q000737:chemistry*; D014876:Water Pollution / Q000706:statistics & numerical data*; D060753:Water Quality / Q000592:standards
keywords: Fuzzy comprehensive evaluation; Fuzzy inference; Water pollution index; Water quality assessment