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Open AccessArticle

Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model

by Yumin Wang 1,*, Weijian Ran 2, Lei Wu 1 and Yifeng Wu 1
1
School of Energy and Environment, Southeast University, Nanjing 210096, China
2
School of Glasgow, University of Electronic Science and Technology, Chengdu 610054, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(15), 2793; https://doi.org/10.3390/ijerph16152793
Received: 14 June 2019 / Revised: 26 July 2019 / Accepted: 2 August 2019 / Published: 5 August 2019
(This article belongs to the Special Issue Water Resources Systems Quality and Quantity Management)
In this paper, an improved fuzzy matter-element (IFME) method was proposed, which integrates the classical matter-element (ME) method, set pair analysis (SPA), and variable coefficient method (VCM). The method was applied to evaluate water quality of five monitor stations along Caoqiao River in Yixing city, Jiangsu Province, China. The levels of river water quality were determined according to fuzzy closeness degree. Compared with the traditional evaluation methods, the IFME method has several characteristics as follows: (i) weights were determined by the VCM method, which can reduce workload and overcome the adverse effects of abnormal values, (ii) membership degrees were defined by SPA, which can utilize monitored data more scientifically and comprehensively, and (iii) IFME is more suitable for seriously polluted rivers. Overall, these findings reinforce the notion that an integrated approach is essential for attaining scientific and objective assessment of river water quality. View Full-Text
Keywords: improved fuzzy matter-element model (IFME); set pair analysis (SPA); variation coefficient method (VCM); water quality assessment improved fuzzy matter-element model (IFME); set pair analysis (SPA); variation coefficient method (VCM); water quality assessment
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Wang, Y.; Ran, W.; Wu, L.; Wu, Y. Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model. Int. J. Environ. Res. Public Health 2019, 16, 2793.

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