Multivariate analysis of the Hong Kong Victoria Harbour water quality data

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

38 Scopus Citations
View graph of relations


Related Research Unit(s)


Original languageEnglish
Pages (from-to)331-342
Journal / PublicationEnvironmental Monitoring and Assessment
Issue number3
Publication statusPublished - 1999


Two multivariate techniques (principal components analysis and cluster analysis) are used to analyse Hong Kong Victoria Harbour water quality data. Results show that the sampling stations can be divided into four main groups, which is consistent with the tripartite structure obtained from an environmental approach. Moreover, it is found that the groups produced can be interpreted based on two main features of the data: nutrient level and the algae-faecal pollution.

Research Area(s)

  • Hierarchical clustering, Non-hierarchical clustering, Principal component, Two-stage clustering technique, Water quality data