标题：Spatial Distribution, Sources Identification and Risk of the Trace Metals in Surface Sediments of Chaohu Lake Using Multivariate Statistics and Geostatistics
摘要：This study evaluated the trace metal sources and their spatial distribution in surface sediments inChaohu Lake, China, using multivariate statistical analysis and geostatistics. The results of the multivariatestatistical analysis, including principal component analysis and cluster analysis, indicated that Cu, Pband Zn were significantly influenced by anthropogenic sources, whereas, the remaining studiedmetals mainly originated from natural sources. Ordinary kriging was used to plot the spatial distributionof the trace metals and principal component scores, while indication kriging was applied to generatethe probability of the trace metals exceeding their pollution threshold values. We found that naturalorigins and the grain size effect influenced the spatial distribution of Al, Cr, Fe, Mg, Ni, and V, whilehuman sources combined with the former two factors affected the spatial distribution of Cu, Pb andZn. The spatial distribution of each principal component scores represented the spatial impact ofcorresponding component on this lake. The possibility maps show that some areas had a high ecologicalrisk caused by Cu, Pb and Zn. Multivariate statistical analysis and geostatistics are concluded to beeffective tools to study trace metals.
