Gu Yao, Liu Baoshuang, Meng He, Song Shaojie, Dai Qili, Shi Laiyuan, Feng Yinchang, Hopke Philip K
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China.
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China.
J Hazard Mater. 2023 Oct 5;459:132138. doi: 10.1016/j.jhazmat.2023.132138. Epub 2023 Jul 24.
Conventional source apportionments of ambient volatile organic compounds (VOCs) have been based on observed and initial concentrations after photochemical correction. However, these results have not been related to ozone (O) and secondary organic aerosol (SOA) formation. Thus, the apportioned contributions could not effectively support secondary pollution control development. Source apportionment of the VOCs consumed in forming O and SOA is needed. A consumed VOC source apportionment approach was developed and applied to hourly speciated VOCs data from June to August 2022 measured in Laoshan, Qingdao. Biogenic emissions (56.3%), vehicle emissions (17.2%), and gasoline evaporation (9.37%) were the main sources of consumed VOCs. High consumed VOCs from biogenic emissions mainly occurred during transport from parks to the southwest and northwest of study site. During the O pollution period, biogenic emissions (46.3%), vehicle emissions (24.2%), and gasoline evaporation (14.3%) provided the largest contributions to the consumed VOCs. However, biogenic emissions contribution increased to 57.1% during the non-O pollution period, and vehicle emissions and gasoline evaporation decreased to 16.5% and 9.01%, respectively. Biogenic emissions and the mixed source of combustion sources and solvent use contributed the most to O and SOA formation potentials during the O pollution period, respectively.
环境挥发性有机化合物(VOCs)的传统源解析一直基于光化学校正后的观测浓度和初始浓度。然而,这些结果并未与臭氧(O₃)和二次有机气溶胶(SOA)的形成相关联。因此,解析出的贡献无法有效支持二次污染控制的发展。需要对形成O₃和SOA过程中消耗的VOCs进行源解析。开发了一种消耗型VOCs源解析方法,并将其应用于2022年6月至8月在青岛崂山测量的每小时特定VOCs数据。生物源排放(56.3%)、车辆排放(17.2%)和汽油蒸发(9.37%)是消耗型VOCs的主要来源。生物源排放产生的高消耗型VOCs主要发生在从公园向研究地点西南和西北方向传输的过程中。在O₃污染期间,生物源排放(46.3%)、车辆排放(24.2%)和汽油蒸发(14.3%)对消耗型VOCs的贡献最大。然而,在非O₃污染期间,生物源排放的贡献增加到57.1%,而车辆排放和汽油蒸发分别降至16.5%和9.01%。在O₃污染期间,生物源排放以及燃烧源与溶剂使用的混合源分别对O₃和SOA的形成潜力贡献最大。