Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters
In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy clustering analysis, the classification is achieved through a fuzzy relation. After a fuzzy similiarity matrix has been established and the fuzzy relation stabilized, a dynamic clustering chart can be developed. Given a suitable threshold, the appropriate classification is worked out. A general methodology for fuzzy clustering analysis is developed and illustrated with a case study of water quality evaluation for the Zayandeh-Rood river, the results of which have been represented in a pollution zoning manner.
K. Norouzian, and M.Tajrishy and A. Abrishamchi, . (2001). Water Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis. Journal of Computational Methods in Engineering, 20(1), 55-68.
MLA
K. Norouzian, , and M.Tajrishy and A. Abrishamchi, . "Water Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis", Journal of Computational Methods in Engineering, 20, 1, 2001, 55-68.
HARVARD
K. Norouzian , M.Tajrishy and A. Abrishamchi . (2001). 'Water Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis', Journal of Computational Methods in Engineering, 20(1), pp. 55-68.
CHICAGO
K. Norouzian and M.Tajrishy and A. Abrishamchi, "Water Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis," Journal of Computational Methods in Engineering, 20 1 (2001): 55-68,
VANCOUVER
K. Norouzian , M.Tajrishy and A. Abrishamchi . Water Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis. J Comput Methods Eng. 2001;20(1):55-68 (In Persian).
