基于被动DOAS网的我国东部大气污染物时空演变、输送及区域性特征研究

区域大气污染的形成与对流层大气污染物立体分布、积累和区域输送有密切关系，目前由于立体探测手段的限制，十分缺乏长期系统的大气污染物时空分布数据。本研究利用已建立的地基被动DOAS网，突破并建立大气污染气体和气溶胶垂直总量/分布、区域污染输送的组网观测方法；在长三角、北京、广州等我国东部地区，开展目前尚缺乏的关键气态污染物SO2、NO2、HCHO、HONO等以及气溶胶对流层柱浓度及垂直分布观测，揭示东部地区大气污染物的日/周/季节/年际时间演变规律、空间/区域性特征;分析典型污染过程下污染物的垂直结构特征及影响因素；通过观测、卫星和模型相结合，阐明区域污染形成与污染排放、输送、气象条件间的关系，揭示局地与区域间的相互作用。研究结果不仅为我国对流层化学、污染模型、卫星遥感校验等研究提供坚实的科学数据基础，而且有助于认识我国东部地区污染时空特征和发展趋势，为政府制定大气污染治理政策提供科学支撑。

Regional air pollution formation is closely related to the three-dimensional distribution, accumulation and regional transport of the tropospheric pollutants. By now, due to the limitation of the three-dimensional detection technology, the long-term and systemic data of the temporal and spatial distribution of atmospheric pollutants is insufficient. Based on the ground-based passive DOAS monitoring network, some subjects will be researched as followed. The parameterized inversion method of temporal and spatial distribution of atmospheric pollution gases and aerosol as well as the network-based observation method of regional pollution transport are researched. Tropospheric column density of atmospheric trace pollution gases (such as SO2, NO2, HCHO) and aerosol as well as their vertical distribution will be observing for a long time in eastern China including the pan-yangtze river delta and the cities of Beijing, Guangzhou. By means of this observation, seasonal and annual variation of atmospheric pollutions as well as their spatial distribution, regional characteristics and evolution regularity will be researched. Through the combination of observation, simulation and analysis, some purposes will be accomplished, which include systematically acknowledging the regularity of atmospheric pollution regional transport, analyzing the relationship between regional pollution formation and the aspects like meteorological condition, transport pathway and emission source, recognizing the interaction of local and regional pollutions and its impact to local environment. The Research results will be not only conducive to identify temporal and spatial distribution of atmospheric pollution and its development tendency, further estimate its impact to regional environment, human health and ecological system in eastern China, but also provide basic scientific data for our national researches such as tropospheric chemistry, pollution model, satellite validation and emissions inventory.