Comparison of Source Identification of Metals in Road-Dust and Soil

中山醫學大學機構典藏 CSMUIR > 健康管理學院 > 公共衛生學系暨碩士班 > 期刊論文 > Item 310902500/4422

Please use this identifier to cite or link to this item: https://ir.csmu.edu.tw:8080/ir/handle/310902500/4422

Title:	Comparison of Source Identification of Metals in Road-Dust and Soil
Authors:	Chang, Shih-Hsien Wang, Kai-Sung Chang, Hsuan-Fang Ni, Wan-Wen Wu, Bi-Ju Wong, Ruey-Hong Lee, Hong-Shen
Contributors:	中山醫學大學公共衛生學系
Keywords:	GIS heavy metal soil road dust multivariate analysis
Date:	2009
Issue Date:	2012-08-07T07:23:00Z (UTC)
Abstract:	Source identification of toxic metals is very critical for pollution prevention and human health protection. Many studies only use either road dust metal data or soil metal data to evaluate metal contamination and identify pollution sources, and this may lead to the exclusion of some important information. In this study, the differences of metal spatial distribution and source identification between road dust and associated soil in an industrial area were investigated. Results indicate the metal concentrations in road dust were generally higher than those in soil. Based on the average concentrations, the order for dust metal concentrations was Fe>>Zn>>Pb>Cu>Cr>Ni. The order for soil metal concentrations was slightly different, namely Fe>>Zn>>CuPb>Ni>Cr. The spatial distributions of metals in the road dust were very different from those in the soil, except for Fe. The GIS results indicate that elevated levels of Fe, Zn, and Pb were present in road dust near a steel plant. High concentrations of Cu, Cr, and Ni appeared at a road intersection. Elevated metal concentrations of Fe, Zn, Pb, Cu, and Cr were present in soil around the steel plant. A coal-fired power plant did not seem to be a significant metal source in this study. Significant correlations for dust metals imply that these were well mixed in the study area. The metal sources identified by PCA with soil metal data were obviously different from those identified with road dust metal data. When road dust metal data were used, the changes of PCA analyzed areas slightly influenced the source identification. The PCA results were obviously influenced by changes of analyzed areas when soil metal data were used.
URI:	https://ir.csmu.edu.tw:8080/ir/handle/310902500/4422
Relation:	Soil and Sediment Contamination: An International Journal Volume 18, Issue 5, 2009 :669-683
Appears in Collections:	[公共衛生學系暨碩士班] 期刊論文

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