Detection of Atmospheric Particulate Matter Pollution Based on Three-Dimensional Atmospheric Detection LiDAR

LiDAR is an effective remote sensing method for monitoring the distribution of atmospheric particulate matter (PM), which can overcome the shortcoming of scattered distribution and failure to achieve regional monitor of the conventional ground monitoring stations. In order to determine the horizontal distribution and transportation of PMs in urban areas, a vertical observation LiDAR and a horizontal scanning LiDAR are applied to achieve the goal. A more accurate retrieval method is developed by combining the slope algorithm and Fernald algorithm. The transport, distribution and concentration are analyzed using three-dimensional LiDAR data. The results of the horizontal aerosol extinction coefficient of the LiDAR are compared with the PM concentration from the ground state-controlled station to analyze their correlation. The results show that the three-dimensional atmospheric LiDAR can effectively reveal the distribution of PMs in large urban areas, and has the advantages of wide coverage and high detection efficiency.