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 journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 331-342 |
| Journal / Publication | Environmental Monitoring and Assessment |
| Volume | 59 |
| Issue number | 3 |
| Publication status | Published - 1999 |
Link(s)
Abstract
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
Citation Format(s)
Multivariate analysis of the Hong Kong Victoria Harbour water quality data. / Yeung, Iris M. H.
In: Environmental Monitoring and Assessment, Vol. 59, No. 3, 1999, p. 331-342.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
