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

被引:166
作者
Wang, Wen-chuan [1 ]
Xu, Dong-mei [1 ,2 ]
Chau, Kwok-wing [3 ]
Lei, Guan-jun [1 ]
机构
[1] North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450011, Peoples R China
[2] Dalian Univ Technol, Water Resources & Flood Control, Dalian 116085, Peoples R China
[3] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China
关键词
Water quality; Variable fuzzy sets; Variable fuzzy evaluation model; Fuzzy binary comparison method; MULTIVARIATE STATISTICAL TECHNIQUES; SYNTHETIC EVALUATION; GROUNDWATER QUALITY;
D O I
10.1007/s11269-014-0738-4
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
There has been an increasing need for the proper evaluation of river water quality in order to safeguard public health and to protect the valuable fresh water resources. In order to overcome the own limitations of the traditional evaluations which can only use a point value instead of an interval for grading standards, on the basis of the fuzzy binary comparison method (FBCM) and the theory of variable fuzzy sets (VFS), an integrated variable fuzzy evaluation model (VFEM) is proposed for the assessment of river water quality in this paper. This model possesses the preciseness of the algorithm and operability in practice, can well solve the grading standards which are interval form. In order to explore and compare the present method with other traditional methods, two cases studies in the Three Gorges and Tseng-Wen River are made. The results show that the proposed VFEM method can convey water cleanliness to certain degree by using the eigenvector of level H, which is much stricter in the superior level, and that it can improve the veracity for the assessment of water quality.
引用
收藏
页码:4183 / 4200
页数:18
相关论文
共 37 条
[1]   Multivariate Statistical Techniques for the Assessment of Surface Water Quality at the Mid-Black Sea Coast of Turkey [J].
Akbal, Feryal ;
Gurel, Levent ;
Bahadir, Tolga ;
Guler, Ilknur ;
Bakan, Gulfem ;
Buyukgungor, Hanife .
WATER AIR AND SOIL POLLUTION, 2011, 216 (1-4) :21-37
[2]   Water quality and uses of the Bangpakong River (Eastern Thailand) [J].
Bordalo, AA ;
Nilsumranchit, W ;
Chalermwat, K .
WATER RESEARCH, 2001, 35 (15) :3635-3642
[3]   Water quality assessment of the Jinshui River (China) using multivariate statistical techniques [J].
Bu, Hongmei ;
Tan, Xiang ;
Li, Siyue ;
Zhang, Quanfa .
ENVIRONMENTAL EARTH SCIENCES, 2010, 60 (08) :1631-1639
[4]   Identification of river water quality using the Fuzzy Synthetic Evaluation approach [J].
Chang, NB ;
Chen, HW ;
Ning, SK .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2001, 63 (03) :293-305
[5]   A review on integration of artificial intelligence into water quality modelling [J].
Chau, Kwok-wing .
MARINE POLLUTION BULLETIN, 2006, 52 (07) :726-733
[6]  
Chen S., 2009, THEORY MODEL VARIABL
[7]  
Chen S.Y., 2006, Fuzzy Optimization and Decision Making, V5, P153, DOI [DOI 10.1007/S10700-006-7333-Y, DOI 10.1007/s10700-006-7333-y]
[8]  
Chen Shou-yu, 2005, Journal of Dalian University of Technology, V45, P308
[9]  
Chen Shouyu, 1998, THEORY APPL ENG FUZZ
[10]  
Chen SY, 1999, J DALIAN U TECHNOLOG, V20, P8