Mapping for Horizontal Aerosol Density Field by a Portable Dual-FOV Lidar
WANG Jie1, 2, 3, LIU Wen-qing1, 2, ZHANG Tian-shu1*, WAN Xue-ping3, GAO Jie3, LI Ling3, MA Na3
1. Key Laboratory of Environmental Optics and Technology, Anhui Institutes of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
2. Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China
3. Wuxi CAS Photonics Compay Limited, Wuxi 214135, China
Abstract：The three-dimensional (3D) distribution of aerosol was realized based on a home-made dual field of views (DFOV) Mie lidar system. The effective combination method of backscattering signals from the two telescopes was explored to retrieval the aerosol mapping. To implement the lidar mapping of the near-surface aerosol density distribution, a combination of the widely adopted and well-elaborated method of Fernald and the slope method was used. In this combination, the slope method was applied to determine the aerosol extinction and backscattering coefficients in appropriate parts of the lidar beam path. Subsequently, the values of backscattering coefficients of aerosol obtained here were used in retrieving the whole range profiles of extinction coefficients by means of forward- and backward-integrations in the Fernald solutions. As a result, the lidar range profiles of the aerosol extinction coefficients were retrieved with relatively high precision and reliability. In this manner, the advantages of these two approaches are synergistically combined with avoiding priori assumption of atmospheric condition and the reference point, respectively. Then an ideal quantity relationship between the particulate matter mass concentration (ρ(PM10)) and aerosol extinction coefficients was given through a nonlinear fitting with ρ(PM10) monitored by an air quality station (AQS) and the overhead extinction coefficient scanning by DFOV lidar. The fitting Pearson Coefficient was 0.91. The mass concentration density field of aerosol was mapped continuously and online through applying the fitting formula. This quantity study established a foundation for the city-cluster’s air pollution evaluation and the regional 3D air quality model assimilation.
Key words：Dual field-of-view (DFOV); Mie-Lidar; Horizontal distribution; Particulate matter mass concentration; Three dimensinal air quality model assimilation
王 界，刘文清，张天舒，万学平，高 洁，李 岭，马 娜. 基于双视场激光雷达的气溶胶水平分布观测[J]. 光谱学与光谱分析, 2019, 39(09): 2664-2669.
WANG Jie, LIU Wen-qing, ZHANG Tian-shu, WAN Xue-ping, GAO Jie, LI Ling, MA Na. Mapping for Horizontal Aerosol Density Field by a Portable Dual-FOV Lidar. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(09): 2664-2669.
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