我国典型区域PM2.5理化分布特征及其对灰霾的影响研究

In recent years, the number of haze days increased significantly in China. However, the physical and chemical mechanisms for the formations of haze are still unclear. Therefore, it is difficult to put forward the scientific and effective preventions and control measures for regional synergy. This application is intended to use network monitoring means and fine time perspective laboratory analysis to reveal the relationship between the formation of regional haze and mass concentration of fine particles, the number concentration of fine particles and the chemical species of fine particles. The effects of the physical and chemical properties of PM2.5 and its precursors on the haze formation will be concluded, especially in the city-cluster areas. Afterwards, multifactorial statistical prediction model are established including haze pollution formation, physical characteristics and chemical composition spectrum of fine particles, meteorological factors, weather processes and atmospheric boundary layer, Combined with the air quality numerical model, the contributions of different sources in different areas are evaluated. The results provide scientific basis to collaborative governance and regulation for haze pollution.

近年来我国城市群霾污染天气显著增加，但其形成的物理、化学机制仍然不清楚，也就难以提出科学有效的区域协同防控措施。本申请拟采用联网实时立体监测手段和精细的样品实验室分析方法，揭示区域霾污染形成与大气细粒子质量浓度、数浓度和不同粒径段粒子的化学物种及浓度之间的关系，进而研究大气细粒子及其前体物的物理变化和（光）化学反应微观过程对区域性霾形成的直接或是间接作用，特别是区域排放的气态前体物形成的二次气溶胶对城市群区域霾形成的独特影响。建立霾污染形成与细粒子物理特性、化学成分谱、气象要素、天气过程和大气边界层结构等多因子统计预测模型，并结合空气质量数值模式，模拟、评估区域内不同地区污染排放物种和排放量对区域霾污染形成的各自贡献，为京津冀区域协同治理和调控霾污染提供科学依据。

近年来我国城市群霾污染天气显著增加，但其形成的物理、化学机制仍然不清楚，也就难以提出科学有效的区域协同防控措施。本研究采用联网实时立体监测手段和精细的样品实验室分析方法，揭示区域霾污染形成与大气细粒子质量浓度、数浓度和不同粒径段粒子的化学物种及浓度之间的关系，进而研究大气细粒子及其前体物的物理变化和（光）化学反应微观过程对区域性霾形成的直接或是间接作用，特别是区域排放的气态前体物形成的二次气溶胶对城市群区域霾形成的独特影响。建立霾污染形成与细粒子物理特性、化学成分谱、气象要素、天气过程和大气边界层结构等多因子统计预测模型，并结合空气质量数值模式，模拟、评估区域内不同地区污染排放物种和排放量对区域霾污染形成的各自贡献，为京津冀区域协同治理和调控霾污染提供科学依据。