Analysis of Surface Water Quality in a Basin Based on Multivariate Statistics
In this study,a multivariate statistical method was used to evaluate the surface water quality in the upper reaches of a basin.The dataset included six parameters of temperature,pH,biological oxygen demand(BOD5),chemical oxygen demand(CODcr),ammonium nitrogen(NH4+-N),and coliform population at 73 sites.Cluster analysis(CA)and principal component analysis(PCA)were used to analyze the spatial variation of surface water quality,and the important parameters of surface water quality were identified.The results show that the water quality is affected by organic matter(high BOD5 and high CODcr),nutrients and microorganisms.The results of PCA showed that industry,city and tourism could explain 87.03%of the total variance.Coliform is the main potential factor controlling surface water quality in the study area.CA divided the sampling sites into 11 groups,of which the large river group had better water quality.The results show that human activities,especially urban and tourism activities,have an obvious influence on the deterioration of surface water quality.
NETL
NSTL
万方数据
维普
