Li Shuaiyi, Chen Cheng, Yang Guang-Li, Fang Jie, Sun Yele, Tang Lili, Wang Hongli, Xiang Wentao, Zhang Hongliang, Croteau Philip L, Jayne John T, Liao Hong, Ge Xinlei, Favez Olivier, Zhang Yunjiang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environment Sciences, Shanghai, China.
Jiangsu Environmental Monitoring Center, Nanjing, China.
Environ Res. 2022 Sep;212(Pt D):113557. doi: 10.1016/j.envres.2022.113557. Epub 2022 May 28.
Organic aerosol (OA) generally accounts for a large fraction of fine particulate matter (PM) in the urban atmosphere. Despite significant advances in the understanding their emission sources, transformation processes and optical properties in the submicron aerosol fraction (PM), larger size fractions - e.g., PM - still deserve complementary investigations. In this study, we conducted a comprehensive analysis on sources, formation process and optical properties of OA in PM and PM under haze and foggy environments in the Yangtze River Delta (eastern China), using two aerosol chemical speciation monitors, as well as a photoacoustic extinctiometer at 870 nm. Positive matrix factorization analysis - using multilinear engine (ME2) algorithm - was conducted on PM and PM organic mass spectra. Four OA factors were identified, including three primary OA (POA) factors, i.e., hydrocarbon-like OA (HOA), cooking OA (COA), and biomass burning OA (BBOA), and a secondary OA (SOA) factor, i.e., oxidized oxygenated OA (OOA). An enhanced PM COA concentration was clearly observed during cooking peak hours, suggesting important contribution of fresh cooking emissions on large-sized particles (i.e., PM). The oxidation state and concentration of PM HOA were higher than that in PM, suggesting that large-sized HOA particles might be linked to oxidized POA. High contribution (44%) of large-sized OOA to non-refractory PM mass was observed during haze episodes. During foggy episodes, PM and PM OOA concentrations increased as a positive relationship over time, along with an exponential increase in the PM-OOA to PM-OOA ratio. Meanwhile, OOA loadings increased with the aerosol liquid water content (ALWC) during foggy episodes. Random forest cross-validation analysis also supported the important influence of ALWC on OOA variations, supporting substantial impact of aqueous process on SOA formation during haze and/or foggy episodes. Obtained results also indicated high OOA contributions (21%-36%) and low POA contributions (6%-14%) to the PM scattering coefficient during haze and foggy episodes, respectively. Finally, we could illustrate that atmospheric vertical diffusion and horizontal transport have important but different effects on the concentrations of different primary and secondary OA factors in different particle size fractions.
有机气溶胶(OA)通常在城市大气中的细颗粒物(PM)中占很大比例。尽管在理解其排放源、转化过程以及亚微米气溶胶组分(PM)的光学特性方面取得了重大进展,但较大粒径组分——例如PM——仍值得进行补充研究。在本研究中,我们利用两台气溶胶化学形态监测仪以及一台870nm的光声消光仪,对中国东部长江三角洲地区雾霾和大雾环境下PM和PM中OA的来源、形成过程及光学特性进行了综合分析。对PM和PM有机质谱进行了基于多线性引擎(ME2)算法的正定矩阵因子分解分析。识别出四个OA因子,包括三个一次有机气溶胶(POA)因子,即类烃有机气溶胶(HOA)、烹饪有机气溶胶(COA)和生物质燃烧有机气溶胶(BBOA),以及一个二次有机气溶胶(SOA)因子,即氧化含氧有机气溶胶(OOA)。在烹饪高峰时段,明显观察到PM中COA浓度升高,这表明新鲜烹饪排放物对大粒径颗粒(即PM)有重要贡献。PM中HOA的氧化态和浓度高于PM中的,这表明大粒径HOA颗粒可能与氧化的POA有关。在雾霾期间,观察到较大粒径的OOA对非难熔PM质量有较高贡献(44%)。在大雾期间,PM和PM中OOA浓度随时间呈正相关增加,同时PM - OOA与PM - OOA的比值呈指数增加。此外,在大雾期间,OOA含量随气溶胶液态水含量(ALWC)增加。随机森林交叉验证分析也支持ALWC对OOA变化有重要影响,这表明水相过程对雾霾和/或大雾期间SOA形成有重大影响。所得结果还表明,在雾霾和大雾期间,OOA对PM散射系数的贡献分别较高(21% - 36%)和POA贡献较低(6% - 14%)。最后,我们可以说明大气垂直扩散和水平输送对不同粒径组分中不同一次和二次OA因子的浓度有重要但不同的影响。