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