Journal
JOURNAL OF ENVIRONMENTAL SCIENCES
Volume 50, Issue -, Pages 87-92Publisher
SCIENCE PRESS
DOI: 10.1016/j.jes.2016.03.030
Keywords
Water quality assessment; Fuzzy inference; Water pollution index; Fuzzy comprehensive evaluation
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Funding
- National Natural Science Foundation of China [51478025]
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A fuzzy improved water pollution index was proposed based on fuzzy inference systemand 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. (C) 2016 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
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