• Acta Photonica Sinica
  • Vol. 49, Issue 4, 0401001 (2020)
Xing-long XIONG1, Yong-dong LI1, Shuai FENG2, Jie WANG1, and Yu-zhao MA1
Author Affiliations
  • 1Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
  • 2Engineering Technical Training Center, Civil Aviation University of China, Tianjin 300300, China
  • show less
    DOI: 10.3788/gzxb20204904.0401001 Cite this Article
    Xing-long XIONG, Yong-dong LI, Shuai FENG, Jie WANG, Yu-zhao MA. Lidar Inversion of PM2.5 Mass Concentration Vertical Distribution[J]. Acta Photonica Sinica, 2020, 49(4): 0401001 Copy Citation Text show less

    Abstract

    PM2.5 concentration distribution measurement in space at different heights is difficult, this paper uses lidar and atmospheric transmission meter and particle spectrometer for joint detection, through three kinds of instrument data with the vertical distribution of PM2.5 concentration inversion. The function relationship between mass concentration of ground PM2.5 and atmospheric transmissivity is established by data of atmospheric transmittance and particle size spectrometer. Based on the ground atmospheric transmittance measured by the atmospheric transmission meter, the boundary value of the lidar atmospheric transmittance at high altitude is determined through an iterative algorithm, and the vertical distribution of the atmospheric transmittance is retrieved in combination with Fernald integral method. The vertical distribution of PM2.5 mass concentration is obtained by the atmospheric transmittance height profile detected by lidar. The results showed that the accuracy of the vertical distribution of atmospheric transmittance has been improved by the revised atmospheric transmittance. The profile of PM2.5 mass concentration well reflects the microphysical variation of the vertical distribution of aerosols.
    Xing-long XIONG, Yong-dong LI, Shuai FENG, Jie WANG, Yu-zhao MA. Lidar Inversion of PM2.5 Mass Concentration Vertical Distribution[J]. Acta Photonica Sinica, 2020, 49(4): 0401001
    Download Citation