Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo, Zhejiang 315211, China; Institute of East China Sea, Ningbo University, Ningbo, Zhejiang 315211, China.
Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, Shaanxi 710061, China.
Sci Total Environ. 2020 Nov 25;745:140961. doi: 10.1016/j.scitotenv.2020.140961. Epub 2020 Jul 20.
The observed near-surface ozone (O) concentration has been remarkably increasing during recent years in winter in the Guanzhong basin, central China, showing a continuous enhancement of the atmospheric oxidizing capacity (AOC). The impact of such a change in the AOC on secondary aerosol formation, however, has not yet been assessed. In this study, we simulate the formation of O and airborne particles in the atmosphere using the WRF-Chem model, in which the AOC is calculated quantitatively, to understand the responses of secondary aerosols to the AOC increase. Meteorological observations, air pollutants including O, NO, SO, CO, and PM concentrations at ambient monitoring sites, and the main compositions of submicron particulates measured using ACSM are used to constrain the model simulation. The model result shows that the population hourly and postmeridian O (=O + NO) concentrations are good indicators for the wintertime AOC in the basin, suggested by the significantly positive correlations between them. Sensitivity experiments present that the AOC changes may exert important influences on fine particle (PM) concentration with an average rate of 1.94 (μg m)/(10 cm s) for Δ(PM)/Δ(AOC), which is mostly caused by the mass changes in secondary organic aerosol (43%) and nitrate aerosol (40%) and less attributed to the ammonium (11%) and sulfate (6%) components.
近年来,中国中部关中盆地冬季近地面臭氧(O)浓度显著增加,表明大气氧化能力(AOC)持续增强。然而,这种 AOC 的变化对二次气溶胶形成的影响尚未得到评估。在这项研究中,我们使用 WRF-Chem 模型模拟大气中 O 和空气传播颗粒的形成,其中定量计算了 AOC,以了解二次气溶胶对 AOC 增加的响应。气象观测、大气污染物(包括 O、NO、SO、CO 和 PM 浓度)在环境监测站点的浓度以及使用 ACSM 测量的亚微米颗粒的主要成分被用来约束模型模拟。模型结果表明,小时和午后 O(=O+NO)浓度是该盆地冬季 AOC 的良好指标,这与它们之间的显著正相关关系一致。敏感性实验表明,AOC 变化可能对细颗粒(PM)浓度产生重要影响,Δ(PM)/Δ(AOC)的平均速率为 1.94(μg m)/(10 cm s),这主要是由二次有机气溶胶(43%)和硝酸盐气溶胶(40%)的质量变化引起的,而铵(11%)和硫酸盐(6%)成分的贡献较小。