基于主成分和聚类分析的地表水水质特征研究

Study of surface water quality characteristics based on principal component analysis and cluster analysis

采用主成分和聚类分析相结合的方式,对2022年梧州市内地表水水质特征进行分析。结果表明:2022年梧州市内地表水水质状况良好,市内地表水水质主要受有机污染、营养化指标和金属指标2个主成分影响,并根据污染特征将梧州市内地表水分为3大类群。与单因子评价法相比,将主成分和聚类分析相结合更能科学合理反映水体污染状况及污染因子,为水环境保护和管理提供更为科学的依据。

The surface water quality characteristics of Wuzhou city in 2022 were analyzed by combining principal component analysis with cluster analysis.The results of analysis show that the surface water quality of Wuzhou was good in 2022,and was mainly affected by two principal components of organic pollution and eutrophication index,metal index.According to the pollution characteristics,the surface water in Wuzhou is divided into three groups.Compared with the single factor evaluation method,the combination of principal component analysis and cluster analysis can reflect the water pollution situation and pollution factors more scientifically and reasonably,and pro⁃vide a more scientific basis for water environment protection and management.