首页    期刊浏览 2024年11月15日 星期五
登录注册

文章基本信息

  • 标题:PRINCIPAL COMPONENT ANALYSIS AND CLUSTER ANALYSIS IN MULTIVARIATE ASSESSMENT OF WATER QUALITY
  • 本地全文:下载
  • 作者:Elzbieta Radzka ; Jolanta Jankowska ; Katarzyna Rymuza
  • 期刊名称:Inżynieria Ekologiczna
  • 印刷版ISSN:2081-139X
  • 电子版ISSN:2392-0629
  • 出版年度:2017
  • 卷号:18
  • 期号:2
  • 页码:92-96
  • DOI:10.12911/22998993/68141
  • 出版社:Polish Society of Ecological Engineering (PTIE)
  • 摘要:This paper deals with the use of multivariate methods in drinking water analysis.During a five-year project, from 2008 to 2012, selected chemical parameters in 11 water supply networks of the Siedlce County were studied.Throughout that period drinking water was of satisfactory quality, with only iron and manganese ions exceeding the limits (21 times and 12 times, respectively).In accordance with the results of cluster analysis, all water networks were put into three groups of different water quality.A high concentration of chlorides, sulphates, and manganese and a low concentration of copper and sodium was found in the water of Group 1 supply networks.The water in Group 2 had a high concentration of copper and sodium, and a low concentration of iron and sulphates.The water from Group 3 had a low concentration of chlorides and manganese, but a high concentration of fluorides.Using principal component analysis and cluster analysis, multivariate correlation between the studied parameters was determined, helping to put water supply networks into groups according to similar water quality.
  • 关键词:principal component analysis ; water quality ; cluster analysis
国家哲学社会科学文献中心版权所有