{"title":"Evaluation of Water Quality Using Grey Clustering","authors":"Chang-jun Zhu, Qinghua Liu","doi":"10.1109/WKDD.2009.28","DOIUrl":null,"url":null,"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.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Workshop on Knowledge Discovery and Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WKDD.2009.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
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.