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.
作者
孙伟
刘志红
张洋
张娟
吕朝阳
SUN Wei;LIU Zhihong;ZHANG Yang;ZHANG Juan;LYU Zhaoyang(Chengdu University of Information Technology,Chengdu 610072,China;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101 ,China)
出处
《中国环境监测》
CAS
CSCD
北大核心
2019年第2期150-160,共11页
Environmental Monitoring in China
基金
国家自然科学基金资助项目(41771535)
四川省科技厅重点项目(2017SZ0169)