Spatial distribution and potential sources of trace metals in insoluble particles of snow from Urumqi, China

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作者
Xiaolan Li
Fengqing Jiang
Shaoping Wang
Muyesser Turdi
Zhaoyong Zhang
机构
[1] Chinese Academy of Science,Xinjiang Institute of Ecology and Geography
[2] University of Chinese Academy of Sciences,undefined
来源
关键词
Insoluble particles of snow; Trace metal; Spatial distribution; Urumqi;
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学科分类号
摘要
The purpose of this work is to characterize trace elements in snow in urban–suburb gradient over Urumqi city, China. The spatial distribution patterns of 11 trace metals in insoluble particulate matters of snow were revealed by using 102 snow samples collected in and around urban areas of Urumqi, a city suffering from severe wintertime air pollution in China. Similar spatial distribution for Mn, Cu, Zn, Ni, and Pb was found and their two significant high-value areas located in the west and east, respectively, and a high-value area in the south, which were correlated with factory emissions, traffic activities, and construction fugitive dust. The high-value areas of Cr, Ni, and V occurred in the northeast corner and along main traffic paths, which were linked to oil refinery and vehicular emissions. High value of Be presented in the west of the city. The high-value area of Co in the northeast could be related to local soil. Cd and U displayed relatively even spatial patterns in the urban area. In view of distance from the urban center, e.g., from the first circular belt to the fourth circular belt, except Be, V, Cd, and U, the contents of other metals generally decreased from the first circular belt to the forth circular belt, implying the effect of human activity clearly. Additionally, prevailing northwesterly winds and occasionally southeasterly winds in winter were associated with decreased, generally, concentrations of trace metal in snow from the urban center to the southern suburb along a northwest and southeast transect. The information on concentrations and spatial distributions of these metals in insoluble particles of snow in winter will be valuable for further environmental protection and planning.
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