Multivariate analysis of the Hong Kong Victoria Harbour water quality data

被引：39
|
作者：
Yeung, IMH [1 ]
机构：
[1] City Univ Hong Kong, Dept Management Sci, 83 Tat Chee Ave, Kowloon, Peoples R China
来源：
ENVIRONMENTAL MONITORING AND ASSESSMENT | 1999年 / 59卷 / 03期
关键词：
hierarchical clustering; non-hierarchical clustering; principal component; two-stage clustering technique; water quality data;
D O I：
10.1023/A:1006177824327
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
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.
引用
收藏
页码：331 / 342
页数：12
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