Relationship Analysis of PM 2.5 and BLH using Aerosol and Turbulence Detection Lidar

Abstract. The atmospheric boundary layer height (BLH) is a key parameter in weather forecast and air quality prediction. To investigate the relationship between BLH and air pollution under different conditions, a compact micro-pulse lidar integrated both direct detection lidar (DDL) and coherent Doppler wind lidar (CDWL) is built. Then the BLH can be determined from aerosol density or vertical wind independently. During a 45-hour continuous observation in June 2018, stable boundary layer, residual layer and convective boundary layer are identified. Fine structure of aerosol layers, drizzles and vertical wind near cloudbase are also detected. In comparison, the standard deviation between BLH values derived from DDL and CDWL is 60 m, indicating the accuracy of this work. The retrieved convective BLH is a little higher than that from ERA5 reanalysis due to different retrieval methods. Negative correlation between BLH and PM2.5 is analyzed before and after a precipitation. A criterion is proposed to classify the residual layer and convective boundary layer. Different trends show that the relationship between PM2.5 and BLH should be considered in different boundary layer categories.