标题：Heavy Metal Contamination of Roadside Dusts: a Case Study for Selected Highways of the Greater Toronto Area, Canada Involving Multivariate Geostatistics
摘要：A good understanding of roadside soil contamination and the location of pollution sources is important for addressing many environmental problems. The results are reported here of an analysis of the content of metals in roadside dust samples of four major highways in the Greater Toronto Area (GTA) in Ontario, Canada. The metals analysed are Pb, Zn, Cd, Ni, Cr, Cu, Mn and Fe. Multivariate geostatistical analysis including Correlation Analysis (Ca), Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) is used to estimate soil chemical composition variability. The correlation coefficient shows that most of the pairs exhibit positive correlations, the exceptions being Zn-Cd, Mn-Cd, Zn-Cr, Pb-Zn and Ni-Zn. PCA shows that the three eigenvalues are less than one and suggests that the contamination sources are processing industries and traffic. HCA classifies heavy metals in two major groups. The geostatistical analysis allows geological and anthropogenic causes of variations in the contents of roadside dust heavy metals to be separated and common pollution sources to be identified.
