Volume 20, Issue 1 (7-2001)                   jame 2001, 20(1): 55-68 | Back to browse issues page

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K. Norouzian, M.Tajrishy and A. Abrishamchi. Water Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis. jame. 2001; 20 (1) :55-68
URL: http://jame.iut.ac.ir/article-1-212-en.html
Abstract:   (4335 Views)
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.
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Type of Study: Research | Subject: General
Received: 2014/10/25 | Published: 2001/07/15

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