| 中国原油污染区重金属空间分布模式及其潜在来源研究 |
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| 作者姓名： | FU Xiao-Wen WANG Deng-Ge REN Xiao-Hu CUI Zhao-Jie |
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| 基金项目： | Supported by the Environmental Protection Public Welfare Industry Research Program of China （No. 201109022） |
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| 摘 要： | Twenty-two soil samples were collected at the subregional scale （50 km2） around Gudao Town, a typical oil-producing region of the Shengli Oilfield in the Yellow River Delta, China to determine the spatial distribution patterns and potential sources of heavy metals in soils of crude oil-polluted regions. The concentrations of total petroleum hydrocaxbons （TPHs） and heavy metals as well as other soil properties were determined and the enrichment factor values were calculated for the heavy metals measured. Principal component analysis （PCA） and cluster analysis （CA） were used to estimate potential sources contributing to the concentrations of heavy metals in the soils. The results revealed that the soils were slightly alkaline （pH = 7.33-8.05） and high in salinity （1.43-41.30 g kg-1）, TPHs （0.51 28.40 g kg-1） and organic matter （1.74-31.50 g kg-1）. The mean concentrations of the measured heavy metals Cu, Zn, Pb, Cd, Cr, Ni and V were 18.4, 78.2, 20.8, 0.19, 56.6, 26.3 and 62.1 mg kg-1, respectively. Although the concentrations of all the metals measured in this study were not high enough to exceed the national control standards, there was a significant enrichment of Cd in the study area and Zn and Ni were in the category of deficiency to minimal enrichment. The spatial distribution patterns of Cu, Cr, Ni and V were similar and partially affected by oil exploitation and petroleum hydrocarbon spills. Potential sources of Cr, Ni, V and Cu in the soils were both natural sources and petroleum hydrocarbon spills, while Zn, Pb and Cd were probably from anthropogenic sources such as farming activities and traffic.
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| 关 键 词： | 空间分布格局 重金属浓度 中国土壤 原油污染 污染地区 黄河三角洲地区 富集因子 主成分分析 |
| 收稿时间： | 23 August 2013 |
Spatial distribution patterns and potential sources of heavy metals in soils of a crude oil-polluted region in China |
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| FU Xiao-Wen,WANG Deng-Ge,REN Xiao-Hu,CUI Zhao-Jie.Spatial distribution patterns and potential sources of heavy metals in soils of a crude oil-polluted region in China[J].Pedosphere,2014,24(4):508-515. |
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| Authors: | FU Xiao-Wen WANG Deng-Ge REN Xiao-Hua and CUI Zhao-Jie |
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| Institution: | School of Environmental Science and Engineering, Shandong University, Jinan 250100 (China) |
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| Abstract: | Twenty-two soil samples were collected at the subregional scale (50 km2) around Gudao Town, a typical oil-producing region of the Shengli Oilfield in the Yellow River Delta, China to determine the spatial distribution patterns and potential sources of heavy metals in soils of crude oil-polluted regions. The concentrations of total petroleum hydrocarbons (TPHs) and heavy metals as well as other soil properties were determined and the enrichment factor values were calculated for the heavy metals measured. Principal component analysis (PCA) and cluster analysis (CA) were used to estimate potential sources contributing to the concentrations of heavy metals in the soils. The results revealed that the soils were slightly alkaline (pH = 7.33--8.05) and high in salinity (1.43--41.30 g kg-1), TPHs (0.51--28.40 g kg-1) and organic matter (1.74--31.50 g kg-1). The mean concentrations of the measured heavy metals Cu, Zn, Pb, Cd, Cr, Ni and V were 18.4, 78.2, 20.8, 0.19, 56.6, 26.3 and 62.1 mg kg-1, respectively. Although the concentrations of all the metals measured in this study were not high enough to exceed the national control standards, there was a significant enrichment of Cd in the study area and Zn and Ni were in the category of deficiency to minimal enrichment. The spatial distribution patterns of Cu, Cr, Ni and V were similar and partially affected by oil exploitation and petroleum hydrocarbon spills. Potential sources of Cr, Ni, V and Cu in the soils were both natural sources and petroleum hydrocarbon spills, while Zn, Pb and Cd were probably from anthropogenic sources such as farming activities and traffic. |
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| Keywords: | cluster analysis enrichment factor farming activities petroleum hydrocarbon spills principal component analysis |
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