Laser Remote Sensing of Air Pollution Clouds

被引:0
|
作者
Chen Yong [1 ]
Yang Ze-hou [1 ,2 ]
Fan Dong [1 ]
Chen Chun-li [1 ]
Ren Peng [1 ]
Li Xiao-feng [1 ]
Feng Zhen-zhong [1 ]
Zhao Pi-e [1 ]
Zhang Guo-juan [1 ]
Yu Chen [1 ]
机构
[1] Southwest Inst Tech Phys, Chengdu 610041, Peoples R China
[2] Beijing Inst Technol, Sch Phys, Beijing 100081, Peoples R China
来源
关键词
laser remote sensing; coherent detection; pollution clouds; frontal distance;
D O I
10.1117/12.2542541
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In the past few decades, environmental pollution problems have become more and more serious because of development of modern industry and science technology. The real-time detection and identification of atmospheric pollutants, has aroused widespread concern. Differential Absorption Lidar (DIAL) technology has become a common method for atmospheric remote sensing pollution measurement. 9 similar to 11-mu m-band lasers have small scattering cross sections for the air pollution cloud particles, so the laser output energy is required to reach the Joule level. The system engineering is difficult to realize detection of air pollution clouds with technology. The developed remote sensing pollution detection system is used to detect the types, concentration, orientation and distance information of common industrial chemical pollution. It is mainly divided into two parts: DIAL channel and Front Range Detecting Lidar (FRDL) channel. This paper mainly discusses remote sensing of air pollution clouds using FRDL. The working principle of FRDL is to use the Doppler effect of aerosol on the laser backward Mie scattering to realize the measurement of the aerosol cloud. In July 2017, the verification test was completed at a certain place in the north of China. The simulated pollutant spraying device and sampler were set at 400m in front of the 5km target. The measured results are in agreement with the actual situation.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Editorial: Air pollution remote sensing and the subsequent interactions with ecology on regional scales
    Wang, Honglei
    Shen, Lijuan
    Zhang, Junke
    Xie, Xinyao
    Guan, Xiaobin
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [32] Air pollution and respiratory health risks in Jharkhand: a remote sensing and statistical approach
    Lal Mohammad
    Jatisankar Bandyopadhyay
    Ismail Mondal
    Hamad Ahmed Altuwaijri
    SK Ariful Hossain
    Mukhiddin Juliev
    Abdulrazak H. Almaliki
    Environmental Monitoring and Assessment, 197 (5)
  • [33] APPLICATIONS OF HYPERSPECTRAL REMOTE SENSING AND GIS FOR ASSESSING FOREST HEALTH AND AIR POLLUTION
    Kefauver, Shawn C.
    Penuelas, Josep
    Ustin, Susan L.
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 3379 - 3382
  • [34] Hyperspectral remote sensing of air pollution from geosynchronous orbit with GEMS and TEMPO
    Nicks, Dennis
    Baker, Brian
    Lasnik, James
    Delker, Thomas
    Howell, James
    Chance, Kelly
    Liu, Xiong
    Flittner, David
    Kim, Jhoon
    EARTH OBSERVING MISSIONS AND SENSORS: DEVELOPMENT, IMPLEMENTATION, AND CHARACTERIZATION V, 2018, 10781
  • [35] Femtosecond laser propagation through aerosol clouds for improved communications and remote sensing applications
    Alexander, DR
    Doerr, D
    Li, JC
    Zhang, HF
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 3880 - 3883
  • [36] Laser Remote Sensing
    KTLu Atomic Engineering Corp POBox Gaithersburg MD USA emailaecAtomicEngineeringCorpcom WeB SitehttpwwwAtomicEngineeringCorpcom
    原子与分子物理学报, 2000, (02) : 363 - 364
  • [37] Laser remote sensing
    Panne, U
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 1998, 17 (8-9) : 491 - 500
  • [38] THE EFFECT OF SUBPIXEL CLOUDS ON REMOTE-SENSING
    KAUFMAN, YJ
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1987, 8 (06) : 839 - 857
  • [39] Editorial for the Special Issue "Remote Sensing of Clouds"
    Romano, Filomena
    REMOTE SENSING, 2020, 12 (24) : 1 - 3
  • [40] Research on remote sensing of clouds in field of view
    Zhang, XP
    Zheng, QB
    IMAGING SYSTEMS TECHNOLOGY FOR REMOTE SENSING, 1998, 3505 : 209 - 213