Ma Xuebin, Liu Nana, Liu Changyu, Zhang Hanjiu, Yang Kaixuan, Qiao Zhi, Zhen Maochan, Zhai Mengying, Luo Tao, Li Xuebin
Appl Opt. 2025 Feb 1;64(4):927-937. doi: 10.1364/AO.544810.
During the field campaign conducted in Qingdao, Shandong Province, from December 2019 to January 2020, six significant haze episodes occurred. To investigate the optical characteristics and formation mechanisms of haze in this region, we utilized an optical particle counter to measure the size distribution of aerosol particles. The results showed that the average Angström exponent value during the campaign was 1.45, indicating that fine particulate matter dominated. Additionally, the aerosol scattering coefficient, absorption coefficient, and single scattering albedo were measured using a cavity-attenuated phase shift instrument. It was observed that both scattering and extinction coefficients significantly increased during the haze episodes, while SSA notably decreased at the onset of haze, which may be related to newly emitted aerosol particles. Air quality monitors detected a marked increase in sulfur compounds and nitrogen oxides during the haze episodes, with nitrogen oxides being higher than sulfur compounds, indicating that local pollution was primarily driven by vehicular emissions. Using the HYSPLIT4 model, we analyzed atmospheric transport trajectories and found that regional transport played a critical role in haze events. Analysis of micropulse lidar data revealed that the boundary layer height during the haze episodes was significantly lower than during non-haze periods. The lower boundary layer height restricted pollutant dispersion, exacerbating pollution levels. High relative humidity also contributed to the hygroscopic growth of aerosols, altering atmospheric thermal balance and playing a crucial role in the formation of haze events.
2019年12月至2020年1月在山东省青岛市开展的实地考察期间,发生了6次显著的雾霾事件。为了研究该地区雾霾的光学特性和形成机制,我们使用光学粒子计数器测量了气溶胶颗粒的粒径分布。结果表明,考察期间的平均埃斯特朗指数值为1.45,表明细颗粒物占主导。此外,使用腔衰荡相移仪测量了气溶胶散射系数、吸收系数和单次散射反照率。观察到在雾霾事件期间散射系数和消光系数均显著增加,而在雾霾开始时单次散射反照率显著下降,这可能与新排放的气溶胶颗粒有关。空气质量监测仪检测到雾霾事件期间硫化合物和氮氧化物显著增加,氮氧化物高于硫化合物,表明本地污染主要由车辆排放驱动。使用HYSPLIT4模型,我们分析了大气传输轨迹,发现区域传输在雾霾事件中起关键作用。微脉冲激光雷达数据分析表明,雾霾事件期间的边界层高度显著低于非雾霾时期。较低的边界层高度限制了污染物扩散,加剧了污染程度。高相对湿度也促进了气溶胶的吸湿增长,改变了大气热平衡,在雾霾事件形成中起关键作用。