Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method-Reference-Cited by-同舟云学术

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

Published:2014-07-05 Issue:12 Volume:28 Page:4183-4200
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Wang Wen-chuan,Xu Dong-mei,Chau Kwok-wing,Lei Guan-jun

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-014-0738-4.pdf

Reference37 articles.

1. Akbal F, Gurel L, Bahadir T et al (2011) Multivariate Statistical Techniques for the Assessment of Surface Water Quality at the Mid-Black Sea Coast of Turkey. Water Air Soil Pollut 216(1–4):21–37

2. Bordalo AA, Nilsumranchit W, Chalermwat K (2001) Water quality and uses of the Bangpakong River (Eastern Thailand). Water Res 35(15):3635–3642

3. Bu HM, Tan X, Li SY, Zhang QF (2010) Water quality assessment of the Jinshui River (China) using multivariate statistical techniques. Environ Earth Sci 60(8):1631–1639

4. Chang NB, Chen HW, Ning SK (2001) Identification of river water quality using the Fuzzy Synthetic Evaluation approach. J Environ Manag 63(3):293–305

5. Chau KW (2006) A review on integration of artificial intelligence into water quality modelling. Mar Pollut Bull 52(7):726–733

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