基于数值模拟的青岛市O3快速来源解析

为了建立臭氧污染快速来源解析方法,提高解析结果的时空分辨率,以2017、2018年青岛市环境空气质量精细化管理实践为契机,利用CAMx-OSAT模型的污染源识别与追踪技术,预测解析未来时段特别是污染期间不同区域、行业的排放源对目标站点O3浓度的贡献量和贡献率。结果显示:模拟的春、夏季2个时段青岛市的O3来源主要为工业、电厂、交通、生活源,2个时段的模拟结果本地和外来源中工业源的贡献分别占62. 0%和65. 0%,交通源分别占24. 5%和16. 0%,生活源分别占8. 4%和8. 0%,电厂源分别占5. 0%和11. 0%,O3高浓度污染时,工业源的贡献上升明显,青岛市的O3浓度外来源的贡献约占40%~80%。该数值模型O3来源解析及预测方法已成功用于青岛市的空气质量精细化管理及应急管控。

Fast Ozone Source Apportionment Based on Numerical Simulation in Qingdao

In order to develop fast analytical methods of O3 source apportionment and improve the spatiotemporal resolution of analytical results,taking the elaborating air quality management practices in Qingdao during 2017-2018 as an opportunity,we use ozone source apportionment technology (OSAT) incorporated in CAMx model to predict the contributions of different source regions and categories to future O3,especially during pollution episodes. The results showed that the major source categories contributing to O3 in Qingdao were industrial,power plants,transportation and residential sources during the simulation periods in spring and summer. The industrial sources accounted for 62. 0% and 65. 0%,transportation sources accounted for 24. 5% and16. 0%,residential sources accounted for 8. 4% and 8. 0%,power plants sources accounted for 5. 0% and 11. 0% in two seasons,respectively. During high O3 episodes,the contribution of industrial sources increased significantly,and the contribution of source regions out of Qingdao accounted for approximately 40%-80%. The source apportionment and prediction method of O3 based on a numerical model has been successfully applied to the refined management and emergency control of air quality in Qingdao.