Abstract: The Comprehensive Air Quality Model with extensions (CAMx), a 3-D Eulerian regional air quality model, was used to simulate the tropospheric photochemical pollution in Beijing and Tianjin areas. Ozone Source Apportionment Technology (OSAT) was applied to track the contributions of multiple source areas and source categories to ozone formation in Beijing. The results showed that the source emissions in the urban and suburban areas of Beijing contributed much to ozone formation in local and downwind areas; among all the source categories, mobile source contributed most to ozone formation, followed by the pollutants from oil products and organic solvents and those emitted by industrial source, while biogenic source and other anthropogenic area source contributed less in Beijing. The results also showed that the ozone episode in Beijing area was regional in extent, meteorological fields and pollutant emissions were important impact factors to ozone formation and distribution.

Key words: ozone, ozone source apportionment technology, air quality model

摘要： 利用三维区域空气质量模式CAMx模拟京、津地区对流层大气光化学过程。运用臭氧源识别技术研究不同地区、不同种类污染源排放对北京市城近郊区臭氧浓度的影响，并统计分析这一地区的臭氧来源构成。结果表明，北京市城近郊区排放的污染物对本地及其下风地区的臭氧生成有显著影响；北京市城近郊区的各类源排放中，流动源对臭氧生成贡献最大，油品储运和溶剂使用与工业源的臭氧生成贡献也占有较高份额，天然源排放对臭氧生成的贡献很小。另外，研究表明，北京地区的臭氧生成具有区域特征，气象和源排放条件会对这一地区臭氧来源的构成产生较大影响，周边地区污染物排放的影响应予以关注。

关键词: 臭氧, 臭氧源识别技术, 空气质量模式