宜宾地区气溶胶垂直结构地基空基联合监测分析
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摘要
利用Cloud-Aerosol LIDAR with Orthogonal Polarization(CALIOP)正交极化云-气溶胶星载激光雷达Level1B资料和LGJ-01型号气溶胶地基激光雷达资料对宜宾地区2016年12月—2017年2月无污染时期、少云轻度污染时期和多云重度污染时期气溶胶的衰减后向散射系数和退偏振比光学参数的垂直分布进行对比分析研究。结果表明:少云轻度污染时期,CALIOP数据监测到海拔高度为0. 2～1. 0 km范围内气溶胶颗粒集中分布,LGJ-01数据监测到厚度约为0. 2 km的近地面气溶胶层,2个激光雷达监测结果基本一致;重度污染时期,LGJ-01地基激光雷达能够较好地探测近地面气溶胶层,CALIOP星载激光雷达能够较好地探测到高空云层,若将两者结合,则能实现不同天气状况下的综合探测,以期较全面客观地为研究气溶胶垂直结构提供观测及科研数据。
Using the Cloud-Aerosol LIDAR with Orthogonal Polarization( CALIOP) orthogonal polarized cloud-aerosol satellite Lidar Level1B data and the LGJ-01 aerosol laser radar data,the vertical distribution of the backscattering coefficient and the depolarization ratio optical parameters of aerosol decay in Yibin the winter of 2016 was comparatively analyzed,in the period of non-pollution,partly cloudy slight pollution and cloudy heavy pollution. The results showed: CALIOP data and LGJ-01 data could detect mid-high altitude clouds without pollution,among which the CALIOP data detected that the altitude of clouds was 3.0-4.0 km and the range of backscatter was more than The data of LGJ-01 monitored that the altitude of the cloud was 3.0-5.0 km,and its extinction coefficient ranged from 1.0 to 2.0/km. The monitoring results of two lidar were basically the same. Near-surface aerosol layer was detected by CALIOP data in the partly cloudy-free environment with little disturbance and LGJ-01 data. The CALIOP data monitored the concentration of aerosol particles in the range of 0. 2-1. 0 km above sea level,the backscattering range was greater than 0.01/( km·sr).The near-surface aerosol layer with a thickness of about 0.2 km was detected by LGJ-01 data and the extinction coefficient was about 2/km. The two laser radar monitoring results were basically the same. In the period of heavy pollution,ground-based laser radar could detect the near-surface aerosol layer well,and astronautic lidar could detect high altitude clouds better. Combined two of them,a comprehensive detection under different weather conditions could be achieved,which might provide more comprehensive and objective observations and research data for the study of the vertical aerosol structure.
Using the Cloud-Aerosol LIDAR with Orthogonal Polarization( CALIOP) orthogonal polarized cloud-aerosol satellite Lidar Level1B data and the LGJ-01 aerosol laser radar data,the vertical distribution of the backscattering coefficient and the depolarization ratio optical parameters of aerosol decay in Yibin the winter of 2016 was comparatively analyzed,in the period of non-pollution,partly cloudy slight pollution and cloudy heavy pollution. The results showed: CALIOP data and LGJ-01 data could detect mid-high altitude clouds without pollution,among which the CALIOP data detected that the altitude of clouds was 3.0-4.0 km and the range of backscatter was more than The data of LGJ-01 monitored that the altitude of the cloud was 3.0-5.0 km,and its extinction coefficient ranged from 1.0 to 2.0/km. The monitoring results of two lidar were basically the same. Near-surface aerosol layer was detected by CALIOP data in the partly cloudy-free environment with little disturbance and LGJ-01 data. The CALIOP data monitored the concentration of aerosol particles in the range of 0. 2-1. 0 km above sea level,the backscattering range was greater than 0.01/( km·sr).The near-surface aerosol layer with a thickness of about 0.2 km was detected by LGJ-01 data and the extinction coefficient was about 2/km. The two laser radar monitoring results were basically the same. In the period of heavy pollution,ground-based laser radar could detect the near-surface aerosol layer well,and astronautic lidar could detect high altitude clouds better. Combined two of them,a comprehensive detection under different weather conditions could be achieved,which might provide more comprehensive and objective observations and research data for the study of the vertical aerosol structure.
引文
[1]卜一川.气溶胶粒子形状识别技术研究[D].北京:中国科学院大学,2015.
[2]何沐全,刘志红,张颖,等.川南城市群大气灰霾时空分布特征及成因分析[J].中国环境科学,2017,37(2):432-442.HE Muquan,LIU Zhihong,ZHANG Ying,et al.Spatial and Spatial Distribution of Atmospheric Haze over Southern Sichuan Urban Agglomeration[J].China Environmental Science,2017,37(2):432-442.
[3]拉奥,霍姆斯,安德森,等.气象卫星系统资料及其在环境中的应用[M].北京:气象出版社,1994.
[4]刘东,戚福弟,金传佳,等.合肥上空卷云和沙尘气溶胶退偏振比的激光雷达探测[J].大气科学,2003,27(6):1 091-1 100.LIU Dong,QI Fudi,JIN Chuanjia,et al.Lidar and Dust Aerosol Depolarization Ratio over Hefei Radar Lidar[J].Atmospheric Sciences,2003,27(6):1 091-1 100.
[5]黄忠伟.气溶胶物理光学特性的激光雷达遥感研究[D].兰州:兰州大学,2012.
[6]王静,江月松,路小梅,等.基于CALIOP星载激光雷达探测数据的北京沙尘天气大气状况分析[J].遥感技术与应用,2011(5):647-654.WANG Jing,JIANG Yuesong,LU Xiaomei,et al.Analysis of Atmospheric Conditions of Beijing Dust Weather Based on CALIOP Lidar Detection Data[J].Remote Sensing Technology and Application,2011(5):647-654.
[7]刘琼.上海不同强度干霾期间气溶胶垂直分布特征[J].中国环境科学,2012,32(2):207-213.LIU Qiong.Vertical Distribution Characteristics of Aerosols During Different Hazard Intensities in Shanghai[J].China Environmental Science,2012,32(2):207-213.
[8]吕阳,李正强,尹鹏飞.结合地基激光雷达和太阳辐射计的气溶胶垂直分布观测[J].遥感学报2013,17(4):1 014.LYU Yang,LI Zhengqiang,YIN Pengfei.Orthogonal Observations of Solvertical Distribution Based on Ground-Based Lidar and Solar Radiometer[J].Journal of Remote Sensing,2013,17(4):1 014.
[9]温春,黄忠伟,周天,等.地基偏振拉曼激光雷达与CALIPSO星载激光雷达的对比观测研究[J].干旱气象,2016,34(5):779-788.WEN Chun,HUANG Zhongwei,ZHOU Tian,et al.Study on Contrast Observation of Ground-Based Raman Lidar and CALIPSO Spaceborne Lidar[J].Amercury Meteorology,2016,34(5):779-788.
[10]CARLSON T N,WENDLING P.Reflected Radiance Measured NOAA 3 VHRR as a Function of Opticaldepth for Saharan Dust[J].Journal of Applied Meteorology,1977,16(12):1 368-1 371.
[11]VAUGHAN M A,YOUNG S A,WINKER D M,et al.Fully Automated Analysis of Space-Based Lidar Data:An overview of the CALIPSO Retrieval Algorithms and Data Products[J].International Society for Optics and Photonics,2004:16-30.
[12]OMAR A H.BLINKER D M,VAUGHAN M A,et al.The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm[J].Journal of Atmospheric and Oceanic Technology,2009,26(10):1 994-2 014.
[13]TOTH T D,CAMPBELL J R,REID J S,et al.Minimum Aerosol Layer Detection Sensitivities and Their Subsequent Impacts on Aerosol Optical Thickness Retrievals in CALIPSO Level 2 Data Products[J].Atmospheric Measurement Techniques,2018,11(1):1-53.
[14]ZHAO Y Z,MAN S W.A Simplified Method for Retrieving Aerosol Optical Thickness Using Visibility Data Between 1980 and 2014,a Case Study in China[J].IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2017(99):1-8.
[15]HUTCHISON K D,FARUQUI S J,SMITH S.Improving Correlations Between MODIS Aerosol Optical Thickness and Ground-Based PM2.5Observations Through 3D Spatial Analyses[J].Atmospheric Environment,2008,42(3):530-543.
[16]THOMASON L W,PITTS M C,WINKER D M.CALIIPSO Observations of Stratospheric Aerosols:APreliminary Assessment[J].Atmospheric Chemistry and Physics,2007,7(20):5 283-5 290.
[17]EGUCHI K,UNO I,YUMIMOTO K,et al.TransPacific Dust Transport:Integrated Analysis of NASAI/CALIPSO and a Global Aerosol Transport Model[J].Atmos Chem Phys,2009,9(9):3 137-3 145.
[18]陈勇航,毛晓琴,黄建平,等.一次强沙尘输送过程中气溶胶垂直分布特征研究[J].中国环境科学,2009(5):449-454.CHEN Yonghang,MAO Xiaoqin,HUANG Jianping,et al.Study on the Vertical Distribution of Aerosols in a Strong Dust Transport[J].China Environmental Science,2009(5):449-454.
[19]COLLIS R T H.Lidar:A New Atmosphere Probe[J].Q J R Meteorol Soc,1966(92):220-230.
[20]COLLIS R T H.Mie Scatter Techniques for Air Pollution Measurement with Lasers[J].Optelectron,1972(4):87-99.
[21]KLETT J D.Stable Analytical Inversion Solution for Processing Lidar Returns[J].Appl Opt,1981(20):211-220.
[22]KLETT J D.Lidar Inversion with Variable Backscatter/Extinction Ratios[J].Appl Opt,1985(24):1 638-1 643.
[23]KIM D.Rotational Raman Lidar for Obtaining Aerosol Scattering Coefficients[J].Optics Letters,2005,30(13):1 728-1 730.
[24]NEE J B,CHIANG C W,HU H L,et al.Lidar Measurements of Asian Dust Storms and Dust Cloud Interactions[J].Journal of Geophysical Research,2007,112:D15 202.
[25]胡欢陵,吴永华,谢晨波.北京地区夏冬季颗粒物污染边界层的激光雷达观测[J].环境科学研究,2004,17(1):59-66.HU Huanling,WU Yonghua,XIE Chenbo.Lidar Radar Observation of the Boundary Layer of Particulate Pollution in Summer and Winter in Beijing[J].Journal of Environmental Science,2004,17(1):59-66.
[26]XIE C B,ZHOU J,YUE G M,et al.Mobile Lidar System for Measuring Troposphere Ice Aerosol and Water Vapor[J].Infrared and Laser Engineering,2006,36(3):365-369.
[27]WU Y H,HU H L,HU S X,et al.Rayleigh-Raman Scattering Lidar fox Atmospheric Temperature Profiles Measurements[J].Chinese Journal of Laser,2004,31(7):851-856.
[28]宋秀瑜,曹念文,杨思鹏.探究影响南京地区大气气溶胶光学特性反演的因素[J].激光与光电子学进展,2017(4):86-93.SONG Xiuyu,CAO Nianwen,YANG Sipeng.Study on Factors Influencing Aerosol Optical Properties in Nanjing Area[J].Advances in Laser and Optoelectronics,2017(4):86-93.
[29]谭建成,林国杨,陈政豪,等.利用激光雷达测量都市上空气溶胶浓度分布[J].光散射学报,2008,20(4):375-378.TAN Jiancheng,LIN Guoyang,CHEN Zhenghao,et al.Measurement of Aerosol Concentration Distribution over Urban Area by Lidar[J].Chinese Journal of Light Scattering,2008,20(4):375-378.
[30]张春光,张玉钧,韩道文,等.用后向散射系数计算颗粒物质量浓度的方法研究[J].大气与环境光学学报,2008,3(3):187-192.ZHANG Chunguang,ZHANG Yujun,HAN Daowen,et al.Study on the Method of Calculating the Mass Concentration of Particulate Matter by Backscattering Coefficient[J].Acta Humol,2008,3(3):187-192.
[31]张春光,张玉钧,韩道文,等.气溶胶质量浓度垂直分布反演模型的研究[J].激光技术,2009,33(3):303-306.ZHANG Chunguang,ZHANG Yujun,HAN Daowen,et al.Study on Inversion Model of Vertical Distribution of Aerosol Mass Concentration[J].Laser Technology,2009,33(3):303-306.
[32]BO G Y,XIE C B,LIU D,et al.Optical Boundary Layer Measurement by Raman Lidar[J].Chinese Journal of Laser,2010,37(10):2 526-2 532.
[33]葛巧丽.基于激光雷达的杭州市区不同强度霾探测研究[D].杭州:浙江大学,2014.
[34]周天,黄忠伟,黄建平,等.黄土高原地区云垂直结构的激光雷达遥感研究[J].干旱气象,2013,31(2):246-253.ZHOU Tian,HUANG Zhongwei,HUANG Jianping,et al.Remote Sensing of Vertical Cloud Structure in the Loess Plateau by Lidar[J].Period of Arid Meteorology,2013,31(2):246-253.
[35]邓涛,吴兑,邓雪娇,等.一次严重灰霾过程的气溶胶光学特性垂直分布[J].中国环境科学,2013,33(11):1 921-1 928.DENG Tao,WU Dui,DENG Xuejiao,et al.A Vertical Distribution of Aerosol Optical Properties over a Severe Haze Course[J].China Environmental Science,2013,33(11):1 921-1 928.
[2]何沐全,刘志红,张颖,等.川南城市群大气灰霾时空分布特征及成因分析[J].中国环境科学,2017,37(2):432-442.HE Muquan,LIU Zhihong,ZHANG Ying,et al.Spatial and Spatial Distribution of Atmospheric Haze over Southern Sichuan Urban Agglomeration[J].China Environmental Science,2017,37(2):432-442.
[3]拉奥,霍姆斯,安德森,等.气象卫星系统资料及其在环境中的应用[M].北京:气象出版社,1994.
[4]刘东,戚福弟,金传佳,等.合肥上空卷云和沙尘气溶胶退偏振比的激光雷达探测[J].大气科学,2003,27(6):1 091-1 100.LIU Dong,QI Fudi,JIN Chuanjia,et al.Lidar and Dust Aerosol Depolarization Ratio over Hefei Radar Lidar[J].Atmospheric Sciences,2003,27(6):1 091-1 100.
[5]黄忠伟.气溶胶物理光学特性的激光雷达遥感研究[D].兰州:兰州大学,2012.
[6]王静,江月松,路小梅,等.基于CALIOP星载激光雷达探测数据的北京沙尘天气大气状况分析[J].遥感技术与应用,2011(5):647-654.WANG Jing,JIANG Yuesong,LU Xiaomei,et al.Analysis of Atmospheric Conditions of Beijing Dust Weather Based on CALIOP Lidar Detection Data[J].Remote Sensing Technology and Application,2011(5):647-654.
[7]刘琼.上海不同强度干霾期间气溶胶垂直分布特征[J].中国环境科学,2012,32(2):207-213.LIU Qiong.Vertical Distribution Characteristics of Aerosols During Different Hazard Intensities in Shanghai[J].China Environmental Science,2012,32(2):207-213.
[8]吕阳,李正强,尹鹏飞.结合地基激光雷达和太阳辐射计的气溶胶垂直分布观测[J].遥感学报2013,17(4):1 014.LYU Yang,LI Zhengqiang,YIN Pengfei.Orthogonal Observations of Solvertical Distribution Based on Ground-Based Lidar and Solar Radiometer[J].Journal of Remote Sensing,2013,17(4):1 014.
[9]温春,黄忠伟,周天,等.地基偏振拉曼激光雷达与CALIPSO星载激光雷达的对比观测研究[J].干旱气象,2016,34(5):779-788.WEN Chun,HUANG Zhongwei,ZHOU Tian,et al.Study on Contrast Observation of Ground-Based Raman Lidar and CALIPSO Spaceborne Lidar[J].Amercury Meteorology,2016,34(5):779-788.
[10]CARLSON T N,WENDLING P.Reflected Radiance Measured NOAA 3 VHRR as a Function of Opticaldepth for Saharan Dust[J].Journal of Applied Meteorology,1977,16(12):1 368-1 371.
[11]VAUGHAN M A,YOUNG S A,WINKER D M,et al.Fully Automated Analysis of Space-Based Lidar Data:An overview of the CALIPSO Retrieval Algorithms and Data Products[J].International Society for Optics and Photonics,2004:16-30.
[12]OMAR A H.BLINKER D M,VAUGHAN M A,et al.The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm[J].Journal of Atmospheric and Oceanic Technology,2009,26(10):1 994-2 014.
[13]TOTH T D,CAMPBELL J R,REID J S,et al.Minimum Aerosol Layer Detection Sensitivities and Their Subsequent Impacts on Aerosol Optical Thickness Retrievals in CALIPSO Level 2 Data Products[J].Atmospheric Measurement Techniques,2018,11(1):1-53.
[14]ZHAO Y Z,MAN S W.A Simplified Method for Retrieving Aerosol Optical Thickness Using Visibility Data Between 1980 and 2014,a Case Study in China[J].IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2017(99):1-8.
[15]HUTCHISON K D,FARUQUI S J,SMITH S.Improving Correlations Between MODIS Aerosol Optical Thickness and Ground-Based PM2.5Observations Through 3D Spatial Analyses[J].Atmospheric Environment,2008,42(3):530-543.
[16]THOMASON L W,PITTS M C,WINKER D M.CALIIPSO Observations of Stratospheric Aerosols:APreliminary Assessment[J].Atmospheric Chemistry and Physics,2007,7(20):5 283-5 290.
[17]EGUCHI K,UNO I,YUMIMOTO K,et al.TransPacific Dust Transport:Integrated Analysis of NASAI/CALIPSO and a Global Aerosol Transport Model[J].Atmos Chem Phys,2009,9(9):3 137-3 145.
[18]陈勇航,毛晓琴,黄建平,等.一次强沙尘输送过程中气溶胶垂直分布特征研究[J].中国环境科学,2009(5):449-454.CHEN Yonghang,MAO Xiaoqin,HUANG Jianping,et al.Study on the Vertical Distribution of Aerosols in a Strong Dust Transport[J].China Environmental Science,2009(5):449-454.
[19]COLLIS R T H.Lidar:A New Atmosphere Probe[J].Q J R Meteorol Soc,1966(92):220-230.
[20]COLLIS R T H.Mie Scatter Techniques for Air Pollution Measurement with Lasers[J].Optelectron,1972(4):87-99.
[21]KLETT J D.Stable Analytical Inversion Solution for Processing Lidar Returns[J].Appl Opt,1981(20):211-220.
[22]KLETT J D.Lidar Inversion with Variable Backscatter/Extinction Ratios[J].Appl Opt,1985(24):1 638-1 643.
[23]KIM D.Rotational Raman Lidar for Obtaining Aerosol Scattering Coefficients[J].Optics Letters,2005,30(13):1 728-1 730.
[24]NEE J B,CHIANG C W,HU H L,et al.Lidar Measurements of Asian Dust Storms and Dust Cloud Interactions[J].Journal of Geophysical Research,2007,112:D15 202.
[25]胡欢陵,吴永华,谢晨波.北京地区夏冬季颗粒物污染边界层的激光雷达观测[J].环境科学研究,2004,17(1):59-66.HU Huanling,WU Yonghua,XIE Chenbo.Lidar Radar Observation of the Boundary Layer of Particulate Pollution in Summer and Winter in Beijing[J].Journal of Environmental Science,2004,17(1):59-66.
[26]XIE C B,ZHOU J,YUE G M,et al.Mobile Lidar System for Measuring Troposphere Ice Aerosol and Water Vapor[J].Infrared and Laser Engineering,2006,36(3):365-369.
[27]WU Y H,HU H L,HU S X,et al.Rayleigh-Raman Scattering Lidar fox Atmospheric Temperature Profiles Measurements[J].Chinese Journal of Laser,2004,31(7):851-856.
[28]宋秀瑜,曹念文,杨思鹏.探究影响南京地区大气气溶胶光学特性反演的因素[J].激光与光电子学进展,2017(4):86-93.SONG Xiuyu,CAO Nianwen,YANG Sipeng.Study on Factors Influencing Aerosol Optical Properties in Nanjing Area[J].Advances in Laser and Optoelectronics,2017(4):86-93.
[29]谭建成,林国杨,陈政豪,等.利用激光雷达测量都市上空气溶胶浓度分布[J].光散射学报,2008,20(4):375-378.TAN Jiancheng,LIN Guoyang,CHEN Zhenghao,et al.Measurement of Aerosol Concentration Distribution over Urban Area by Lidar[J].Chinese Journal of Light Scattering,2008,20(4):375-378.
[30]张春光,张玉钧,韩道文,等.用后向散射系数计算颗粒物质量浓度的方法研究[J].大气与环境光学学报,2008,3(3):187-192.ZHANG Chunguang,ZHANG Yujun,HAN Daowen,et al.Study on the Method of Calculating the Mass Concentration of Particulate Matter by Backscattering Coefficient[J].Acta Humol,2008,3(3):187-192.
[31]张春光,张玉钧,韩道文,等.气溶胶质量浓度垂直分布反演模型的研究[J].激光技术,2009,33(3):303-306.ZHANG Chunguang,ZHANG Yujun,HAN Daowen,et al.Study on Inversion Model of Vertical Distribution of Aerosol Mass Concentration[J].Laser Technology,2009,33(3):303-306.
[32]BO G Y,XIE C B,LIU D,et al.Optical Boundary Layer Measurement by Raman Lidar[J].Chinese Journal of Laser,2010,37(10):2 526-2 532.
[33]葛巧丽.基于激光雷达的杭州市区不同强度霾探测研究[D].杭州:浙江大学,2014.
[34]周天,黄忠伟,黄建平,等.黄土高原地区云垂直结构的激光雷达遥感研究[J].干旱气象,2013,31(2):246-253.ZHOU Tian,HUANG Zhongwei,HUANG Jianping,et al.Remote Sensing of Vertical Cloud Structure in the Loess Plateau by Lidar[J].Period of Arid Meteorology,2013,31(2):246-253.
[35]邓涛,吴兑,邓雪娇,等.一次严重灰霾过程的气溶胶光学特性垂直分布[J].中国环境科学,2013,33(11):1 921-1 928.DENG Tao,WU Dui,DENG Xuejiao,et al.A Vertical Distribution of Aerosol Optical Properties over a Severe Haze Course[J].China Environmental Science,2013,33(11):1 921-1 928.
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