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. Journal of Computational Methods in Engineering, 2001; 20(1): 55-68.
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