气溶胶单粒子的偏振散射特性研究

摘要/Abstract

摘要： 建立了气溶胶单粒子的偏振散射实验装置,采用T-matrix方法模拟球形粒子和长形粒子的光散射计算, 讨论了偏振强度因子(Pf)和穆勒矩阵元素(Z11、Z12)随粒径、形状的变化关系,结果表明,球形粒子和杆状粒子的Pf和Z12随着粒径的增大存在明显差异。通过对单分散的气溶胶颗粒物样品的实验测量,得到不同样品的Pf值和Z12。实验结果表明,以油酸粒子的Z12为基准, 差值△Z12=12可以作为球形的油酸粒子和长形的核黄素以及石棉纤维的区分阈值, △Z12 介于12~41主要为核黄素粒子, △Z12达到59时粒子可被认为是长形的石棉纤维粒子, 而立方形的NaCl气溶胶粒子的△Z12与油酸粒子非常接近,难以区分。初步实验表明,穆勒矩阵元素Z12可以用于识别长形粒子,该研究为颗粒物形态的偏振测量提供依据。

关键词: 偏振, 气溶胶, 光散射, 形态, T-matrix算法

Abstract: An experimental device for the polarization scattering of aerosol single particles is developed. The T-matrix method is used to simulate the light scattering calculation of spherical particles and long particles. The relationship between polarization intensity factor (Pf), Muller matrix elements (Z11 and Z12) with particle size and shape is discussed. The results show that, with the increase of particle size, there are significant differences between spherical particles and rod-shaped particles in parameters Pf and Z12. By experimental measurement, Pf values and Z12 of different samples are obtained. The experimental results show that, using the Z12 of oleic particles as the reference, the difference △Z12=12 can be used as the distinguishing threshold for spherical oleic acid particles and ellipsoidal riboflavin particles and long asbestos fibers particles. The △Z12 of riboflavin particles ranges from 12 to 41, and when △Z12 reaches 59, the particles can be considered as asbestos fiber particles. However, it's hard to distinguish cubic NaCl particles and oleic acid particles because the values △Z12 of each are very similar. Preliminary experiments show that Muller matrix element Z12 can be used to identify long particles, which can help to design morphology measurement instrument with polarization method.

Key words: polarization, aerosol, light scattering, morphology, T-matrix method

中图分类号:

O436.3

陈旭1,2, 丁蕾1, 王颖萍1, 郑海洋1,方黎1. 气溶胶单粒子的偏振散射特性研究[J]. 大气与环境光学学报.

CHEN Xu1,2, DING Lei1, WANG Yingping1, ZHENG Haiyang1, FANG Ll1. Investigation of Polarization Scattering Characteristics of Single Particle Aerosols[J]. Journal of Atmospheric and Environmental Optics.

参考文献

1 Kokhanovsky A A. Aerosol Optics: Light Absorption and Scattering by Particles in the Atmosphere [M]. Chichester: Praxis Publishing Ltd., 2008. 2 Signorell R, Reid J P. Fundamentals and Applications in Aerosol Spectroscopy [M]. Boca Raton: CRC Press, 2011. 3 Kaye P H. Spatial light-scattering analysis as a means of characterizing and classifying non-spherical particles [J]. Measurement Science and Technology, 1998, 9(2): 141-149. 4 Kaye P H, Alexander-Buckley K, Hirst E, et al. A real-time monitoring system for airborne particle shape and size analysis [J]. Journal of Geophysical Research: Atmospheres, 1996, 101(D14): 19215-19221. 5 Pan Y L, Berg M J, Zhang S S M, et al. Measurement and autocorrelation analysis of two-dimensional light-scattering patterns from living cells for label-free classification [J]. Cytometry Part A, 2011, 79A(4): 284-292. 6 Shimizu A,Sugimoto N, Matsui I, et al. Continuous observations of Asian dust and other aerosols by polarization lidars in China and Japan during ACE-Asia [J]. Journal of Geophysical Research: Atmospheres, 2004, 109(D19): D19S17. 7 Lee C G, Yuan C S, Chang J C, et al. Effects of aerosol species on atmospheric visibility in Kaohsiung City, Taiwan [J]. Journal of the Air & Waste Management Association, 2005, 55(7): 1031-1041. 8 Carrieri A H, Copper J, Owens D J, et al. Infrared differential-absorption Mueller matrix spectroscopy and neural network-based data fusion for biological aerosol standoff detection [J]. Applied Optics, 2010, 49(3): 382-393. 9 Richardson J M, Aldridge J C, Milstein A B. Polarimetric lidar signatures for remote detection of biological warfare agents [C]. Proceedings of SPIE, 2008, 6972: 69720E. 10 Zubko E, Shkuratov Y, Hart M, et al. Backscattering and negative polarization of agglomerate particles [J]. Optics Letters, 2003, 28(17): 1504-1506. 11 Redding B, Pan Y, Wang C, et al. Polarization resolved angular optical scattering of aerosol particles [C]. Proceedings of SPIE, 2014, 9106: 91060F. 12 Wu L H, Gao J, Fan Z G, et al. Scattering of particles in the atmosphere and their influence on celestial polarization patterns [J]. Acta Optica Sinica, 2011, 31(7): 34-40(in Chinese). 吴良海,高隽,范之国,等. 大气粒子散射特性及其对空间偏振分布的影响[J]. 光学学报, 2011, 31(7): 34-40. 13 Li Hanshuang, Li Bo, Wang Shurong. Polarization performance in space ultraviolet remote sensing spectral instruments [J]. Acta Optica Sinica, 2018, 38(1): 0112006(in Chinese). 李寒霜, 李博, 王淑荣. 空间紫外遥感光谱仪器偏振特性研究 [J]. 光学学报, 2018, 38(1): 0112006. 14 Xu Chidong, Ji Yufeng. A case study of particulate pollution case measured by Polarization Micro-Pulse Lidar [J]. Journal of Atmophereric and Environmental Optics, 2011, 6(1): 27-32(in Chinese). 徐赤冬, 纪玉峰. 偏振微脉冲激光雷达测量颗粒物污染变化的个例研究 [J]. 大气与环境光学学报, 2011, 6(1): 27-32. 15 Yun Longlong, Zhang Tianshu, et al. Analysis of air pollutants during process of a haze in Wuxi City [J]. Journal of Atmophereric and Environmental Optics, 2015, 10(1): 22-30(in Chinese). 云龙龙, 张天舒, 等. 无锡市一次霾形成过程大气污染物特征分析 [J]. 大气与环境光学学报, 2015, 10(1): 22-30. 16 Shao Shiyong, Huang Yinbo, Rao Ruizhong. Aerosol particle shape and scattering analyzer based on imaging [J]. Acta Photonica Sinica, 2009, 38(3): 704-708(in Chinese). 邵士勇, 黄印博, 饶瑞中. 基于成像法的气溶胶粒形和散射分析仪 [J]. 光子学报, 2009, 38(3): 704-708. 17 Wu Jinlei, Zhang Jinbi, Zhang Li, et al. Near forward light scattering characteristics of airborne particles [J]. ActA Optica Ssinica, 2016, 36(5): 0529001(in Chinese). 吴金雷, 张金碧, 张莉, 等. 大气颗粒物近前向光散射特性研究 [J]. 光学学报, 2016, 36(5): 0529001. 18 Zhang J B, Ding L, Wang Y P, et al. Theoretical studies on particle shape classification based on simultaneous small forward angle light scattering and aerodynamic sizing [J]. Chinese Physics B, 2016, 25(3): 034201. 19 Zhang J B, Ding L, Wang Y P, et al. Shape classification of single aerosol particle using near-forward optical scattering patterns calculation [J]. Acta Physica Sinica, 2015, 64(5): 054202. 20 Ding L, Zhang J B, Zheng H Y, et al. A method of simultaneously measuring particle shape parameter and aerodynamic size [J]. Atmospheric Environment, 2016, 139: 87-97. 21 DeCarlo P F, Slowik J G, Worsnop D R, et al. Particle morphology and density characterization by combined mobility and aerodynamic diameter measurements. Part 1: Theory [J]. Aerosol Science and Technology, 2004, 38(12): 1185-1205. 22 Mishchenko M I. Calculation of the amplitude matrix for a nonspherical particle in a fixed orientation [J]. Applied Optics, 2000, 39(6): 1026-1031. 23 Mishchenko M I, Travis L D, Lacis A A. Scattering, Absorption, and Emission of Light by Small Particles [M]. Cambridge: Cambridge University Press, 2002. 24 Bohren C, Huffman D. Absorption and Scattering of Light by Small Particles [M]. New York: Wiley, 1983. 25 Mishchenko M I, Travis L D. T-matrix codes for computing electromagnetic scattering by nonspherical and aggregated particles [OL]. https://www.giss.nasa.gov/staff/mmishchenko/t_matrix.html. 26 Heyder J, Gebhart J. Optimization of response functions of light scattering instruments for size evaluation of aerosol particles [J]. Applied Optics, 1979, 18(5): 705-711.

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