A Exploratory Study on Temporal and Spatial Distribution of Water Quality in Min River Water
The principal component analysis ( PCA) and hierarchical cluster analysis (CA) were used to analyze data sets of water quality for 8 parameters monitored at 11 different sites of Min River from 2008 to 2009 to determine temporal and spatial distribution in water quality. Through the statistical analysis of eight water quality were indexed as two principal components, the monitoring sites were partitioned into 2 groups included heavy polluted area and light polluted area; the monitoring periods were classified into 2 clusters included dry season and wet season. The results show that upriver of Minjiang drainage area pollution was serious, the degree of pollution was depressed from midstream to downstream, but it was increased suddenly after Fuzhou city because of a lot of effluent discharge, water quality of Min River were declined sharply. Meanwhile, the water quality of Min River were influenced by precipitation, as well as it was presented seasonal variation following in water temperature, the worst of water quality were winter water.
Min Riverwater qualitytemporal and spatial distrbutionprincipal component analysis (PCA)cluster analysis (CA)
NETL
NSTL
万方数据
维普
