• Journal of Atmospheric and Environmental Optics
  • Vol. 18, Issue 5, 458 (2023)
WANG Ying1、2 and LIU Dong1、*
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optic and Fine Mechanics, HFIPS,Chinese Academy of Sciences, Hefei 230031, China
  • 2University of Science and Technology of China, Hefei 230026, China
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    DOI: 10.3969/j.issn.1673-6141.2023.05.006 Cite this Article
    Ying WANG, Dong LIU. Simulation of multi-wavelength depolarization characteristics of dust aerosol particles[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(5): 458 Copy Citation Text show less

    Abstract

    The simulation of light scattering characteristics of dust aerosol particles is mainly affected by shape models. Based on the size distribution information of dust aerosol particles provided by the Optical Properties of Aerosols and Clouds (OPAC) package, the light scattering characteristics of group dust aerosol particles are numerically simulated to study their wavelength dependency. Three incident wavelengths of 1064 nm, 532 nm and 355 nm are used for calculating the depolarization ratios of different super-ellipsoid dust particles, and the simulation results show the depolarization ratios of 0.317, 0.397 and 0.446 for each wavelength respectively. Compared with the lidar measurements, the simulation depolarization ratio at 1064 nm wavelength shows the highest consistence, followed by the simulation results at 532 nm wavelength. However, the simulation depolarization ratio at 355 nm wavelength has large bias with the lidar measurements, which may be caused by the same number of the dipoles used for all wavelengths and needs to be investigated in the future. The methodology and non-spherical models used in this study will greatly contribute to our deeper understandings on the wavelength dependence of the depolarization properties of the dust aerosol and guide the development of multi-wavelength polarization lidar. In addition, multi-wavelength polarization measurements will also provide a unique technique to study the mixing state and the evolution of the pollution aerosols.
    Ying WANG, Dong LIU. Simulation of multi-wavelength depolarization characteristics of dust aerosol particles[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(5): 458
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