基于三维大气探测激光雷达的大气颗粒物污染探测
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摘要
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.
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.
引文
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[15] Zhao G Y,Malmqvist E,T?r?k S,et al.Particle Profiling and Classification by a Dual-band Continuous-Wave LiDAR System[J].Applied Optics,2018,57:10 164-10 171
[16] Fang Xin,Wang Min,Hu Shunxing.Distribution Characteristics of Atmospheric Pollutions in Meiyu Season Observed by LiDAR over Hefei[J].Chinese Journal of Lasers,2019,46(1):302-309(方欣,王敏,胡顺星.合肥梅雨季节大气污染物分布特征的激光雷达探测[J].中国激光,2019,46(1):302-309)
[17] Di Huige,Hou Xiaolong,Zhao Hu,et al.Detections and Analyses of Aerosol Optical Properties Under Different Weather Conditions Using Multi-Wavelength Mie LiDAR[J].Acta Physica Sinica,2014,63(24):248-255(狄慧鸽,侯晓龙,赵虎,等.多波长激光雷达探测多种天气气溶胶光学特性与分析[J].物理学报,2014,63(24):248-255)
[18] Fernald F G.Analysis of Atmospheric LiDAR Observation-Some Comments[J].Applied Optics,1984,23(5):652-653
[19] Gerard J K,Gerritde L.Inversion of LiDAR Signals with the Slope Method[J].Applied Optics,1993,32(18):3 249-3 251
[20] Zeng X J,Guo W P,Yang K C.Noise Reduction and Retrieval by Modified LiDAR Inversion Method Combines Joint Retrieval Method and Machine Learning[J].Applied Physics B:Laser and Optics,2018,124(12):238
[21] Lü Lihui,Liu Wenqing,Zhang Tianshu,et al.Two Data Inversion Algorithms of Aerosol Horizontal Distribution Detected by MPL and Error Analysis[J].Spectroscopy and Spectral Analysis,2015(7):1 774-1 778(吕立慧,刘文清,张天舒,等.微脉冲激光雷达水平探测气溶胶两种反演算法对比与误差分析[J].光谱学与光谱分析,2015(7):1 774-1 778)
[2] Fan W Z,Qin K,Xu J,et al.Aerosol Vertical Distribution and Sources Estimation at a Site of the Yangtze River Delta Region of China[J].Atmospheric Research,2019,217:128-136
[3] Tao Yan,Liu Yameng,Mi Shengquan,et al.Atmospheric Pollution Characteristics of Fine Particles and Their Effects on Human Health[J].Acta Scientiae Circumstantiate,2014,34(3):592-597(陶燕,刘雅梦,米生权,等.大气细颗粒物的污染特征及对人体健康的影响[J].环境科学学报,2014,34(3):592-597)
[4] Du Qicheng,Ji Yufeng,Xu Chidong.Data Processing Method of Aerosol Horizontal Distribution Detected by MPL[J].Journal of Atmospheric and Environmental Optics,2008,3(1):23-27(杜其成,纪玉峰,徐赤东.MPL探测气溶胶水平分布数据处理方法研究[J].大气与环境光学学报,2008,3(1):23-27)
[5] Dong Yunsheng,Liu Wenqing,Liu Jianguo,et al.Application Study of LiDAR in Urban Traffic Pollution[J].Acta Optica Sinica,2010,30(2):315-320(董云升,刘文清,刘建国,等.激光雷达在城市交通污染中应用研究[J].光学学报,2010,30(2):315-320)
[6] Lu Xianyang,Li Xuebin,Qin Wubin,et al.Retrieval of Horizontal Distribution of Aerosol Mass Concentration by Micro Pulse LiDAR[J].Optics and Precision Engineering,2017,25(7):1 697-1 704(鲁先洋,李学彬,秦武斌,等,微脉冲激光雷达反演气溶胶的水平分布[J].光学精密工程,2017,25(7):1 697-1 704)
[7] Bo Guangyu,Xu Chidong,Li Aiyue,et al.Optical and Hygroscopic Properties of Asian Dust Particles Based on a Horizontal Mie LiDAR:Case Study at Hefei,China[J].Chinese Optics Letter,2017,15:020102
[8] Tian Liqiao,Chen Xiaoling,Qiu Feng,et al.Atmospheric Correction over Coastal Turbid Waters Based on Space-borne LiDAR Aerosol Data[J].Geomatics and Information Science of Wuhan University,2011,36(8):960-963(田礼乔,陈晓玲,邱凤,等.星载激光雷达气溶胶数据辅助的近岸浑浊水体大气校正研究[J].武汉大学学报·信息科学版,2011,36(8):960-963)
[9] Liu Jun,Hua Dengxin,Li Yan,et al.Design of a Compact Mie LiDAR System[J].Journal of Xian University of Technology,2007,23(1):1-5(刘君,华灯鑫,李言,等.小型米散射激光雷达系统设计[J].西安理工大学学报,2007,23(1):1-5)
[10] Ancellet,Penner E,Pelon J,et al.Aerosol Monitoring in Siberia Using an 808 nm Automatic Compact LiDAR[J].Atmospheric Measurement Techniques,2019,12:147-168
[11] Sugimoto N,Uno I,Nishikawa M,et al.Record Heavy Asian Dust in Beijing in 2002:Observations and Model Analysis of Recent Events[J].Geophysical Research Letters,2003,30(12):1 640
[12] Yumimoto K,Uno I,Sugimoto N,et al.Numerical Modeling of Asian Dust Emission and Transport with Adjoint Inversion Using LiDAR Network Observations[J].Atmospheric Chemistry and Physics,2007,7:15 955-15 987
[13] Pappalardo G,Amodeo A,Pandolfi M,et al.Aerosol LiDAR Intercomparison in the Framework of the EARLINET Project.3.Raman LiDAR Algorithm for Aerosol Extinction,Backscatter and LiDAR Ratio[J].Applied Optics,2004,43(28):5 370-5 385
[14] John B,Parikh S,Trevor K.Atmospheric Aerosol Profiling with a Bistatic Imaging LiDAR System[J].Applied Optics,2007,46:2 922-2 929
[15] Zhao G Y,Malmqvist E,T?r?k S,et al.Particle Profiling and Classification by a Dual-band Continuous-Wave LiDAR System[J].Applied Optics,2018,57:10 164-10 171
[16] Fang Xin,Wang Min,Hu Shunxing.Distribution Characteristics of Atmospheric Pollutions in Meiyu Season Observed by LiDAR over Hefei[J].Chinese Journal of Lasers,2019,46(1):302-309(方欣,王敏,胡顺星.合肥梅雨季节大气污染物分布特征的激光雷达探测[J].中国激光,2019,46(1):302-309)
[17] Di Huige,Hou Xiaolong,Zhao Hu,et al.Detections and Analyses of Aerosol Optical Properties Under Different Weather Conditions Using Multi-Wavelength Mie LiDAR[J].Acta Physica Sinica,2014,63(24):248-255(狄慧鸽,侯晓龙,赵虎,等.多波长激光雷达探测多种天气气溶胶光学特性与分析[J].物理学报,2014,63(24):248-255)
[18] Fernald F G.Analysis of Atmospheric LiDAR Observation-Some Comments[J].Applied Optics,1984,23(5):652-653
[19] Gerard J K,Gerritde L.Inversion of LiDAR Signals with the Slope Method[J].Applied Optics,1993,32(18):3 249-3 251
[20] Zeng X J,Guo W P,Yang K C.Noise Reduction and Retrieval by Modified LiDAR Inversion Method Combines Joint Retrieval Method and Machine Learning[J].Applied Physics B:Laser and Optics,2018,124(12):238
[21] Lü Lihui,Liu Wenqing,Zhang Tianshu,et al.Two Data Inversion Algorithms of Aerosol Horizontal Distribution Detected by MPL and Error Analysis[J].Spectroscopy and Spectral Analysis,2015(7):1 774-1 778(吕立慧,刘文清,张天舒,等.微脉冲激光雷达水平探测气溶胶两种反演算法对比与误差分析[J].光谱学与光谱分析,2015(7):1 774-1 778)
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