Characteristics of atmospheric single particles during haze periods in a typical urban area of Beijing: A case study in October, 2014
Characteristics of atmospheric single particles during haze periods in a typical urban area of Beijing: A case study in October, 2014
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DOI：
10.1016/j.jes.2015.10.027
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发表时间：
2016-02-01
影响因子：
6.9
通讯作者：
Bai, Zhipeng
中科院分区：
文献类型：
--
作者：
Liu, Lang;Wang, Yanli;Bai, Zhipeng
为了调查颗粒物的组成和可能的来源，特别是在雾霾重污染期间，北京部署了单颗粒气溶胶质谱仪(SPAMS)，测量了2014年10月期间单颗粒种类和尺寸的变化。共收集了2,871,431个正负光谱粒子，并结合自适应共振理论神经网络算法(ART-2a)对其进行了表征。共分为8种颗粒物：粉尘(粉尘，8.1%)、元素碳(EC，29.0%)、有机碳(OC，18.0%)、EC与OC结合颗粒物(ECOC，9.5%)、含钠钾颗粒(NaK，7.9%)、含钾颗粒物(K，21.8%)、有机氮钾颗粒物(KCN，2.3%)、含金属颗粒物(金属，3.6%)。根据PM2.5的质量浓度和数浓度以及混合单粒子拉格朗日积分轨迹模型(HySplit-4模型)的回溯轨迹结果，分析了3次灰霾污染事件(P1、P2、P3)和1个清洁期(清洁)。结果表明，3个灰霾污染期的单颗粒物主要成分为EC、OC和K，与净化期相比有明显的增加。不同类型颗粒物次级物种混合状态的结果表明，在雾霾污染时段，硫酸盐和硝酸盐更容易与含碳颗粒物混合，而在清洁时期则更容易。(C)2015中国科学院生态环境科学研究中心。爱思唯尔出版公司(Elsevier B.V.)
To investigate the composition and possible sources of particles, especially during heavy haze pollution, a single particle aerosol mass spectrometer (SPAMS) was deployed to measure the changes of single particle species and sizes during October of 2014, in Beijing. A total of 2,871,431 particles with both positive and negative spectra were collected and characterized in combination with the adaptive resonance theory neural network algorithm (ART-2a). Eight types of particles were classified: dust particles (dust, 8.1%), elemental carbon (EC, 29.0%), organic carbon (OC, 18.0%), EC and OC combined particles (ECOC, 9.5%), Na-K containing particles (NaK, 7.9%), K-containing particles (K, 21.8%), organic nitrogen and potassium containing particles (KCN, 2.3%), and metal-containing particles (metal, 3.6%). Three haze pollution events (P1, P2, P3) and one clean period (clean) were analyzed, based on the mass and number concentration of PM2.5 and the back trajectory results from the hybrid single particle Lagrangian integrated trajectory model (Hysplit-4 model). Results showed that EC, OC and K were the major components of single particles during the three haze pollution periods, which showed clearly increased ratios compared with those in the clean period. Results from the mixing state of secondary species of different types of particles showed that sulfate and nitrate were more readily mixed with carbon-containing particles during haze pollution episodes than in clean periods. (C) 2015 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.