大气与环境光学学报 ›› 2023, Vol. 18 ›› Issue (3): 191-200.

• 大气光学 •    下一篇

基于散射矩阵的气溶胶识别与粒径分布反演研究

陈民旺 1,2, 裘桢炜 2*, 洪津 2   

  1. 1 中国科学技术大学环境科学与光电技术学院, 安徽 合肥 230026; 2 中国科学院合肥物质科学研究院安徽光学精密机械研究所, 中国科学院通用光学定标与表征技术重点实验室, 安徽 合肥 230031
  • 收稿日期:2021-03-11 修回日期:2021-03-29 出版日期:2023-05-28 发布日期:2023-05-28
  • 通讯作者: E-mail: zwqiu@aiofm.ac.cn E-mail:zwqiu@aiofm.ac.cn
  • 作者简介:陈民旺 (1997- ), 硕士研究生, 主要从事气溶胶偏振散射测量数据处理与应用的研究。E-mail: cmw1997@mail.ustc.edu.cn
  • 基金资助:
    中国科学院科研装备研制项目 (YZ201664)

Research on aerosol recognition and particle size distribution inversion based on scattering matrix

CHEN Minwang 1,2, QIU Zhenwei 2*, HONG Jin 2   

  1. 1 School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China; 2 Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
  • Received:2021-03-11 Revised:2021-03-29 Published:2023-05-28 Online:2023-05-28
  • Contact: Wei ZhenQiu E-mail:zwqiu@aiofm.ac.cn

摘要: 散射矩阵是描述介质散射特性的重要参数, 该参数对介质的理化特性敏感。为研究利用该参数对气溶胶进 行识别及理化特性获取的可行性, 设计并实验测量了聚α烯烃和氯化钠两种气溶胶样品的散射矩阵, 讨论了二者矩阵 元素的角度分布规律, 并基于Mie散射理论, 采用模板匹配的方法利用测量结果对聚α烯烃气溶胶的粒径分布进行了 反演。结果表明通过矩阵元素的角度分布规律可以对两种气溶胶进行有效识别与区分, 结合相关散射模型与反演方 法还可以获得气溶胶的理化特性。该研究为气溶胶识别及其理化特性的获取提供了方法参考。

关键词: O436.2, X513

Abstract: Scattering matrix is an important parameter to describe the scattering characteristics of medium, which is sensitive to the physical and chemical properties of the medium. In order to investigate the feasibility of using this parameter to identify aerosols and obtain their physicochemical properties, an experimental measurement was designed to obtain the scattering matrices of the two aerosol samples of poly-alpha-olefin and sodium chloride, and the angular distribution of the two matrix elements was discussed. Furthermore, based on Mie scattering theory, the particle size distribution of poly-alpha-olefin aerosols was inversed using template matching method and the measurement results. The results show that based on the angular distribution of matrix elements, the two kinds of aerosols can be effectively identified and distinguished, and the physicochemical properties of aerosols can also be obtained by combining the correlation scattering model and inversion method. This research provides a method reference for aerosol identification and acquisition of physicochemical properties.

Key words: scattering matrix, aerosol recognition, particle size distribution, inversion

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