Yang Jie, Zheng Jia-Xing, Xu Ting-Ting, Wu Yu-Lian, Kan Shi-Ye, Shen Chun-Qi, Shao Zhi-Juan
School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Huan Jing Ke Xue. 2024 Nov 8;45(11):6238-6247. doi: 10.13227/j.hjkx.202310170.
Based on the air quality and meteorological data in Suzhou from 2015 to 2022, the long-term variations in PM and O, meteorological characteristics, and their correlations were analyzed in this study. The HYSPLIT model was used to explore the main transport pathways and potential source areas of PM and O. The results showed that： ① The annual averaged concentrations of PM in Suzhou decreased steadily during the study period, and the annual average concentration from 2020 to 2022 reached the national second-level standard limit. However, the annual average concentrations of O all exceeded the national second-level standard limit. After 2017, the annual number of days that O exceeded the standard was always higher than that for PM. The number of days of compound pollution continuously decreased from nine days in 2015 to zero days in 2020, and there was no compound pollution since then. ② The most severe pollution seasons for PM and O were winter and summer, respectively. PM pollution was more likely to occur in low-temperature and high-humidity weather, while O pollution was more frequent in high-temperature and low-humidity weather. Wind direction played an important role, with northwest winds amplifying PM pollution and southeast winds boosting O. These two pollutants showed a strong correlation in summer with a coefficient reaching 0.73. ③ Cluster analysis revealed that trajectory two from Hebei Province in spring and trajectory four from Shaanxi Province in winter were prone to an increase in PM concentration. The short to medium distance trajectory 1 from Shandong Province in summer and trajectory two from Hebei Province in spring were prone to an increase in O concentration. ④ The analysis of potential source areas showed that transportation outside the province had a significant impact on PM and O pollution in Suzhou. The potential source areas of PM in spring and winter were mainly distributed in Anhui Province, Henan Province, and Hubei Province； the potential source areas in autumn were mainly distributed in Hubei Province and Jiangxi Province； and the potential source areas of O in spring and summer were mainly located in the Beijing-Tianjin-Hebei Region, Shandong Province, Henan Province, and Shanxi Province. Valuable management insights for the coordinated control of PM and O pollution in Suzhou were put forward based on this study.
基于苏州2015年至2022年的空气质量和气象数据，本研究分析了细颗粒物（PM）和臭氧（O₃）的长期变化、气象特征及其相关性。利用HYSPLIT模型探究了PM和O₃的主要传输路径及潜在源区。结果表明：①研究期间苏州PM的年均浓度呈稳步下降趋势，2020年至2022年的年均浓度达到国家二级标准限值。然而，O₃的年均浓度均超过国家二级标准限值。2017年后，O₃超标天数的年际值始终高于PM。复合污染天数从2015年的9天持续下降至2020年的0天，此后未再出现复合污染。②PM和O₃污染最严重的季节分别是冬季和夏季。PM污染更易在低温高湿天气出现，而O₃污染在高温低湿天气更为频发。风向起到重要作用，西北风会加剧PM污染，东南风则会加重O₃污染。这两种污染物在夏季呈现出较强的相关性，相关系数达0.73。③聚类分析显示，春季来自河北省的轨迹二和冬季来自陕西省的轨迹四易导致PM浓度升高。夏季来自山东省的短至中距离轨迹一和春季来自河北省的轨迹二易造成O₃浓度升高。④潜在源区分析表明，省外传输对苏州的PM和O₃污染有显著影响。春季和冬季PM的潜在源区主要分布在安徽省、河南省和湖北省；秋季的潜在源区主要分布在湖北省和江西省；春季和夏季O₃的潜在源区主要位于京津冀地区、山东省、河南省和山西省。基于本研究，提出了苏州PM和O₃污染协同控制的宝贵管理见解。
