Assessment of surface water quality using hierarchical cluster analysis
作者: Dheeraj Kumar DabgerwalShailendra Kumar Tripathi
作者单位: 1Environmental Science, Department of Botany, Allahabad University, Allahabad
2Department of Science, Sampurnanand Sanskrit University, Varanasi
刊名: International Journal of Environment, 2016, Vol.5 (1), pp.32-44
来源数据库: Progressive Sustainable Developers
DOI: 10.3126/ije.v5i1.14563
关键词: Correlation analysisCluster analysisBODCODRiver VarunaSampling sites
原始语种摘要: This study was carried out to assess the physicochemical quality river Varuna inVaranasi,India. Water samples were collected from 10 sites during January-June 2015. Pearson correlation analysis was used to assess the direction and strength of relationship between physicochemical parameters. Hierarchical Cluster analysis was also performed to determine the sources of pollution in the river Varuna. The result showed quite high value of DO, Nitrate, BOD, COD and Total Alkalinity, above the BIS permissible limit. The results of correlation analysis identified key water parameters as pH, electrical conductivity, total alkalinity and nitrate, which influence the concentration of other water parameters. Cluster analysis identified three major clusters of sampling sites out of total 10 sites,...
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  • quality 品质
  • analysis 分析
  • alkalinity 碱度
  • water 
  • illustrated 以…说明
  • relationship 关系
  • cluster 
  • Varuna 伐楼拿
  • correlation 对比
  • result 成果