Analysis and assessment on heavy metal sources in the coastal soils developed from alluvial deposits using multivariate statistical methods

被引:153
作者
Li, Jinling [1 ]
He, Ming [1 ]
Han, Wei [1 ]
Gu, Yifan [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Agr & Biol, Shanghai 200240, Peoples R China
关键词
Multivariate statistics; Heavy metal sources; Principle component analysis; Clustering analysis; Correlation analysis; AGRICULTURAL SOILS; POLLUTION; ACCUMULATION; SLUDGE; WATER;
D O I
10.1016/j.jhazmat.2008.08.112
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An investigation on heavy metal sources, i.e., Cu, Zn, Ni, Pb, Cr, and Cd in the coastal soils of Shanghai, China, was conducted using multivariate statistical methods (principal component analysis, clustering analysis, and correlation analysis). All the results of the multivariate analysis showed that: (i) Cu, Ni, Pb, and Cd had anthropogenic sources (e.g., overuse of chemical fertilizers and pesticides, industrial and municipal discharges, animal wastes, sewage irrigation, etc.), (ii) Zn and Cr were associated with parent materials and therefore had natural sources (e.g,. the weathering process of parent materials and subsequent pedogenesis due to the alluvial deposits). The effect of heavy metals in the soils was greatly affected by soil formation, atmospheric deposition, and human activities. These findings provided essential information on the possible sources of heavy metals, which would contribute to the monitoring and assessment process of agricultural soils in worldwide regions. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:976 / 981
页数:6
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