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Proceedings Paper

Study on the extinction coefficient of spherical aerosol particles
Author(s): Jian Yang; He Chen; Yin-chao Zhang; Si-ying Chen; Pan Guo; Li-na Liu
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Paper Abstract

Based on Mie scattering theory, this paper introduces the basic principle of aerosol light scattering and the basic calculation method of the polarization characteristics of scattering light. The spherical aerosol model is widely applied for the convenient and simple theoretic calculation, using the scattering theory by introducing the scattering amplitude matrix to combine incident radiation with scattering light. In scattering theory, aerosol extinction parameter has very important role for improving the precision of the laser radar, remote sensing detection and so on. We have mainly discussed the relationship between the spherical particle radius and extinction coefficient, and relationship between refractive index of the particles and extinction coefficient, respectively. It is concluded that extinction coefficient as a function of particles’ radius gradually oscillate approaching to 2 with the increasing of particle radius, and extinction coefficient curves as a function of refraction index have completely symmetric. The first major maximum of extinction coefficient also has obvious changes with different particles radius or refractive index.

Paper Details

Date Published: 19 September 2013
PDF: 7 pages
Proc. SPIE 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications, 89052E (19 September 2013); doi: 10.1117/12.2034942
Show Author Affiliations
Jian Yang, Beijing Institute of Technology (China)
He Chen, Beijing Institute of Technology (China)
Yin-chao Zhang, Beijing Institute of Technology (China)
Si-ying Chen, Beijing Institute of Technology (China)
Pan Guo, Beijing Institute of Technology (China)
Li-na Liu, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 8905:
International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications
Farzin Amzajerdian; Astrid Aksnes; Weibiao Chen; Chunqing Gao; Yongchao Zheng; Cheng Wang, Editor(s)

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