基于三维大气探测激光雷达的大气颗粒物污染探测

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

激光雷达是一种监测大气颗粒物分布和传输的有效遥感手段,能够克服常规地面监测站零星分布、无法实现区域覆盖监测的问题。通过布设一台垂直探测激光雷达和一台水平扫描激光雷达,实现大气颗粒物的垂直结构探测以及半径6 km内水平分布情况监测,并结合斜率法和Fernald算法实现更加精确的水平方向消光系数反演,进而实现以三维数据分析颗粒物的传输、分布和浓度变化情况;并利用地面国控站点数据同水平消光系数进行相关性对比。结果表明,利用三维大气探测激光雷达能够有效地揭示城市地区较大区域内的颗粒物分布和传输情况,具有覆盖范围大、探测效率高的优点。

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.