DocumentCode :
483315
Title :
Evaluation of Water Quality Using Grey Clustering
Author :
Zhu, Changjun ; Liu, Qinghua
Author_Institution :
Coll. of Urban Constr., Hebei Univ. of Eng., Handan
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
803
Lastpage :
805
Abstract :
Evaluation of water environment quality plays an important role in environment science. Because of many factors affecting environment quality, it is a basic task to select rational pattern and make full use of limited information from monitors so as to describe environment quality objectively. In view of the deficiency of the traditional methods, based on the grey theory, a grey clustering model is established to evaluate water quality. The proposed model was applied to assess the water quality of 20 sections in Suzhou River. The evaluation result was compared with that of the traditional method and the reported results in the Suzhou River. It is indicated that the performance of the proposed model is practically feasible in the application of water quality assessment and its application is simple.
Keywords :
grey systems; pattern clustering; rivers; water quality; Suzhou River; environment science; grey clustering; grey theory; water environment quality; water quality assessment; water quality evaluation; Clustering methods; Data engineering; Data mining; Educational institutions; Monitoring; Quality assessment; Rivers; Surface contamination; Water conservation; Water pollution; evaluation; grey clustering; water quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.28
Filename :
4772057
Link To Document :
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