Zhang Sinan, Shen Xiaojing, Sun Junying, Zhang Yangmei, Zhang Xiaoye, Xia Can, Hu Xinyao, Zhong Junting, Wang Jialing, Liu Shuo
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
J Environ Sci (China). 2023 Feb;124:544-556. doi: 10.1016/j.jes.2021.11.019. Epub 2022 Feb 23.
A hygroscopic tandem differential mobility analyser (H-TDMA) was used to observe the size-resolved hygroscopic characteristics of submicron particles in January and April 2018 in urban Beijing. The probability distribution of the hygroscopic growth factor (HGF-PDF) in winter and spring usually showed a bimodal pattern, with more hygroscopic mode (MH) being more dominant. The seasonal variation in particle hygroscopicity was related to the origin of air mass, which received polluted southerly air masses in spring and clean northwesterly air masses in winter. Particles showed stronger hygroscopic behaviour during heavy pollution episodes (HPEs) with elevated concentrations of secondary aerosols, especially higher mass fraction of nitrate, which were indicated using the PM (particulate matter with diameter below 2.5 µm) mass concentration normalised by CO mass concentration. The hygroscopic parameter (κ) values were calculated using H-TDMA (κ) and chemical composition (κ). The closure study showed that κ was overestimated in winter afternoon when compared with κ, because the organic particle hygroscopic parameter (κ) was overestimated in the calculations. It was influenced by the presence of a high concentration of hydrocarbon-like organic aerosol (HOA) with a weak water uptake ability. A positive relationship was observed between κ and the ratio of oxygenated organic aerosol (OOA) and HOA, thereby indicating that the strong oxidation state enhanced the hygroscopicity of the particles. This study revealed the effect of local emission sources and secondary aerosol formation processes on particle hygroscopicity, which is of great significance for understanding the pollution formation mechanism in the North China Plain.
2018年1月和4月,使用吸湿串联差分迁移率分析仪(H-TDMA)观测了北京城区亚微米颗粒的粒径分辨吸湿特性。冬春季节吸湿增长因子的概率分布(HGF-PDF)通常呈双峰模式,其中更多吸湿模态(MH)更为占优。颗粒物吸湿特性的季节变化与气团来源有关,春季受污染的南风气团影响,冬季受清洁的西北风气团影响。在重污染事件(HPEs)期间,颗粒物表现出更强的吸湿行为,此时二次气溶胶浓度升高,尤其是硝酸盐的质量分数更高,这是通过用CO质量浓度归一化的PM(直径小于2.5μm的颗粒物)质量浓度来表征的。吸湿参数(κ)值通过H-TDMA(κ)和化学成分(κ)计算得出。闭合研究表明,与κ相比,冬季下午κ被高估,因为在计算中有机颗粒吸湿参数(κ)被高估了。这受到高浓度、吸水能力弱的类烃有机气溶胶(HOA)的影响。观察到κ与氧化有机气溶胶(OOA)和HOA的比例之间存在正相关关系,从而表明强氧化状态增强了颗粒物的吸湿性。本研究揭示了本地排放源和二次气溶胶形成过程对颗粒物吸湿性的影响,这对于理解华北平原的污染形成机制具有重要意义。