污染天气的形成与边界层内气溶胶微物理参数分布特征密切相关，研究气溶胶微物理特性及其与温湿度相关的吸湿特性的垂直分布变化规律，对研究雾霾等污染天气的形成有重要意义。本课题提出基于多参量激光雷达探测研究高时空分辨率的气溶胶微物理及吸湿特性。重点研究：多波长及拉曼和高光谱激光雷达气溶胶精细探测技术与方法，以获得独立的多波长光学参量精确值；气溶胶粒子谱、复折射率和形状等微物理特征参数的精细反演算法；结合拉曼温湿度探测雷达的实时温湿度廓线数据，分析气溶胶光学特性与大气温湿度的相关性及气溶胶微物理参量的吸湿性增长特性。最终融合多波长偏振激光雷达、近红外高光谱激光雷达、拉曼温湿探测激光雷达的实测数据，分析与研究不同高度上气溶胶吸湿性增长规律及垂直分布特征，以期为气溶胶微物理和吸湿性增长研究提供新的研究思路和解决方法，研究成果将为大气环境监测、污染预报及研究污染天气的形成和消散提供技术支持和数据保障。

The formation of pollution weather is closely related to the distribution of aerosol microphysical parameters within the atmospheric boundary layer. The research, about the vertical distribution of aerosol microphysical properties and the corresponding atmosphere temperature and the relative humidity, is important for us to investigate the formation of pollution weather, such as fog and haze. We propose to study the distribution of aerosol microphysical properties and hygroscopic growth properties using multi-parameter lidar in the subject. The key research includes that, fine detection technology and method of aerosol optical properties for acquiring independent optical parameters of aerosol using multi-wavelength, Raman and hyper-spectral lidar, the inversion algorithm research of aerosol micro-physical characteristic parameters such as aerosol size distribution, shapes and complex refractive index, and aerosol hygroscopic growth research based on the temperature and humidity profiles of Raman lidar. Finally, the experimental data of muti-lidar, that are the multi-wavelength polarization lidar, near-infrared hyper-spectral lidar and Raman lidar for atmosphere temperature and humidity profiles, is integrated. And then we study the vertical distribution of aerosol micro-physical parameter and hygroscopic growth character, and expect to get the new research idea and solution for them. The research project will be significant for atmospheric environmental monitoring and atmosphere pollution forecast, and can also provide scientific data and technical support for the research about the formation and dissipation of pollution weather.