Application of multivariate statistical methods to water quality   assessment of the watercourses in northwestern new territories, hong   kong

doi:10.1007/s10661-006-9497-x

CORC > 北京大学 > 环境科学与工程学院

	Application of multivariate statistical methods to water quality assessment of the watercourses in northwestern new territories, hong kong
	Zhou, Feng ; Liu, Yong ; Guo, Huaicheng
刊名	environmental monitoring and assessment
	2007
关键词	cluster analysis discriminant analysis Hong Kong Northwestern new Territories temporal and spatial variations water quality RIVER WATER LONG-TERM PROGRAM INDIA
DOI	10.1007/s10661-006-9497-x
英文摘要	Multivariate statistical methods, i.e., cluster analysis (CA) and discriminant analysis (DA), were used to assess temporal and spatial variations in the water quality of the watercourses in the Northwestern New Territories, Hong Kong, over a period of five years (2000-2004) using 23 parameters at 23 different sites (31,740 observations). Hierarchical CA grouped the 12 months into two periods (the first and second periods) and classified the 23 monitoring sites into three groups (group A, group B, and group C) based on similarities of water quality characteristics. DA provided better results with great discriminatory ability for both temporal and spatial analysis. DA also provided an important data reduction because it only used six parameters (pH, temperature, five-day biochemical oxygen demand, fecal coliforms, Fe, and Ni) for temporal analysis, affording about 84% correct assignations, and seven parameters (pH, ammonia-nitrogen, nitrate nitrogen, fecal coliforms, Fe, Ni, and Zn) for spatial analysis, affording more than 90% correct assignations. Therefore, DA allowed a reduction in the dimensionality of the large data set and indicated a few significant parameters that were responsible for most of the variations in water quality. Thus, this study demonstrated that the multivariate statistical methods are useful for interpreting complex data sets in the analysis of temporal and spatial variations in water quality and the optimization of regional water quality monitoring network.; Environmental Sciences; SCI(E); EI; PubMed; 51; ARTICLE; 1-3; 1-13; 132
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/158993]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Zhou, Feng,Liu, Yong,Guo, Huaicheng. Application of multivariate statistical methods to water quality assessment of the watercourses in northwestern new territories, hong kong[J]. environmental monitoring and assessment,2007.
APA	Zhou, Feng,Liu, Yong,&Guo, Huaicheng.(2007).Application of multivariate statistical methods to water quality assessment of the watercourses in northwestern new territories, hong kong.environmental monitoring and assessment.
MLA	Zhou, Feng,et al."Application of multivariate statistical methods to water quality assessment of the watercourses in northwestern new territories, hong kong".environmental monitoring and assessment (2007).