Characteristics and Sources of Hourly Trace Elements in Airborne Fine Particles in Urban Beijing, China

Journal of Geophysical Research D: Atmospheres - Tập 124 Số 21 - Trang 11595-11613 - 2019
Yang Cui1,2, Dongsheng Ji1,2, Hui Chen3, Meng Gao4, Willy Maenhaut5, Jun He6, Yuesi Wang7,1,2
1College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
2State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
3Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, China
4John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA USA
5Department of Chemistry, Ghent University, Gent, Belgium
6Department of Chemical and Environmental Engineering, International Doctoral Innovation Centre, University of Nottingham Ningbo China, Ningbo, China
7Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment Chinese Academy of Science Xiamen China

Tóm tắt

AbstractTo better investigate the characteristics and sources of trace elements (TEs) in PM2.5 in urban Beijing, a 1‐year hourly observation was continuously made using an online multi‐element analyzer from 1 June 2016 to 31 May 2017. The average concentrations of 14 individual TEs ranged from 1.1 (V) to 900 ng/m3 (K). The occurrence levels of most TEs of interest in Beijing were lower than those in most domestic cities, but higher than those in most foreign countries. The formation of sulfate increased with the concentrations of all studied TEs during autumn and winter. Dust, industry, biomass burning and waste incineration, vehicle emissions, coal combustion, and oil combustion were identified by the positive matrix factorization (PMF) model, which accounted for 36.3%, 10.7%, 27.1%, 13.7%, 7.6%, and 4.6%, respectively, of the total elements. All factors exhibited higher concentrations on weekends than on weekdays. Local vehicular emissions and industry contributed to the loading of TEs, but dust, biomass burning and waste incineration, coal combustion, and oil combustion from neighboring areas appeared to be dominant sources of TEs. Except for dust and industry, the four other sources of TEs were mainly located in the south and southeast areas of the sampling site. The analysis by conditional probability function and potential source contribution function showed that the distribution of the PMF sources of TEs roughly agreed with the location of the main point sources. Overall, this work provides more detailed information on the characteristics of the TEs for the scientific community and modelling work.

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