Levels and speciation of arsenic in the atmosphere in Beijing, China |
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Authors: | Yang Guosheng Ma Lingling Xu Diandou Li Jie He Tingting Liu Liyan Jia Hongliang Zhang Yongbao Chen Yang Chai Zhifang |
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Affiliation: | a Key Laboratory of Nuclear Analytical Techniques and International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Institute of High Energy Physics, Chinese Academy of Sciences, P.O. Box 918, Beijing 100049, China b IJRC-PTS, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, China c IJRC-PTS, Dalian Maritime University, China d China Institute of Atomic Energy, Department of Reactor Engineering Research and Design, China |
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Abstract: | Arsenic levels and speciation in the total suspended particles (TSPs) were quantitatively determined by high performance liquid chromatography on-line coupled with hydride generation atomic fluorescence spectrometry in Beijing, China from February 2009 to March 2011. The high TSP levels fluctuated between 0.07 and 0.79 mg m−3, with a mean level of 0.32 ± 0.17 mg m−3. The total arsenic concentrations ranged from 0.03 to 0.31 μg m−3 (mean: 0.13 ± 0.06 μg m−3) in Beijing‘s air. The concentrations of As(III) and As(V) ranged from 0.73 to 20 ng m−3 (mean: 4.7 ± 3.6 ng m−3) and from 14 to 2.5 × 102 ng m−3 (mean: 67 ± 35 ng m−3), respectively. As levels and speciation demonstrated relative higher levels in spring and autumn and lower values in summer and winter. As(V) accounted for 81-99% of the extractable species in the TSP samples which showed that As(V) was the major fraction of the extractable As. Organoarsenic species, monomethylarsonate (MMA) and dimethylarsinate (DMA) were not found in all samples. Higher values of enrichment factors demonstrated that arsenic in TSP mainly come from anthropogenic sources. High As and its species levels in air and respiratory exposure (0.30-0.84 μg d−1) attributed to higher excess cancer risk ((4.2 ± 2.0) × 10−4) for people in Beijing. |
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Keywords: | Arsenic Speciation Air Beijing Risk assessment |
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