In order to study the optical properties of aerosols in Qingdao, the temperature, humidity, wind speed and direction, and visibility were measured in Shinan District of Qingdao from 2019 to August 2020, and the seasonal variation characteristics of the optical thickness as well as Angstrom exponent in the area were analyzed using MODIS data. The analysis results found that particulate matter (PM) and relative humidity were the main factors affecting visibility. particulate matter concentration and visibility showed a negative exponential relationship. In the initial stage of PM governance, the improvement in visibility is not significant despite the reduction of particulate matter. However, once the PM concentration reaches a certain level, the improvement in visibility becomes remarkably evident. Analyzing the optical characteristics of Qingdao provides valuable insights into the local pollution control.
Mie-scattering lidar is an active remote sensing tool for inverting atmospheric properties by detecting the interaction between lasers and various molecules and aerosol particles in the atmosphere. It has become a powerful detection tool for atmospheric aerosols. However, whether it is a coaxial or parallel-axis laser radar, the accuracy of measurement and inversion in the blind zone and transition zone needs to be improved. This paper studies and establishes a new method of the Mie scattering lidar extinction profile correction based on the UAV-borne aerosol radiosonde. In this method, the UAV (unmanned aerial vehicle) is equipped with an optical aerosol radiosonde (Portable Optical Particle Profiler, POPS), and measures particle spectrum information and related meteorological parameters in the same detection path as lidar. Therefore, by using the Mie scattering theory simulation, the aerosol extinction profile in the lidar short-range blind zone and transition zone can be derived from the UAV-borne aerosol radiosonde data. The horizontal measurement verification test shows that the near-ground extinction coefficient by the new UAV method is in good agreement with that obtained by the lidar Collis slope method.
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