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Single-particle characterization of ammonium-containing particles during wintertime in suburb of Beijing |
WANG Zhi-chao1,2, CHEN Yang1, YANG Fu-mo1, WANG Huan-bo1, TIAN Mi1, SHI Guang-ming1 |
1. Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract A Single Particle Aerosol Mass Spectrometer (SPAMS) was deployed on a rural site of Beijing during the winter of 2016. Ammonium-containing particles were identified using the ion signal peaking at m/z 18, and their temporal variation, size distribution, mixing state, and possible source of ammonium-containing particles were analyzed. Approximately 31% of particles in the SPAMS dataset were identified as ammonium-containing particles. Using an ART-2a clustering algorithm, the ammonium-containing particle dataset could be clustered to seven major particles types, such as NH4-OC(49.9%), NH4-EC(5.6%), NH4-ECOC(8.9%), NH4-HOC(1.4%), NH4-K(9.3%), NH4-NaK(21.7%), and NH4-FeK(2.5%). Ammonium, which internally mixed with carbonaceous particles, existed in the form of ammonium sulfate, ammonium bisulfate, and ammonium nitrate. Coal and biomass burning were the major sources of ammonium-containing particles. During the clear period, air masses transport from the north and northwest of the sampling site; while during the haze period, air masses were mainly from the northwest. The potential source contribution function (PSCF) analysis showed that the ammonium-containing particles were mainly from local and regional emissions near the sampling site, and from the long-range transport in the northwest.
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Received: 09 November 2017
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Corresponding Authors:
陈阳,副研究员,chenyang@cigit.ac.cn;杨复沫,研究员,fmyang@cigit.ac.cn
E-mail: chenyang@cigit.ac.cn;fmyang@cigit.ac.cn
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