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Proceedings Paper

A new stochastic algorithm for inversion of dust aerosol size distribution
Author(s): Li Wang; Feng Li; Ma-ying Yang
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Paper Abstract

Dust aerosol size distribution is an important source of information about atmospheric aerosols, and it can be determined from multiwavelength extinction measurements. This paper describes a stochastic inverse technique based on artificial bee colony (ABC) algorithm to invert the dust aerosol size distribution by light extinction method. The direct problems for the size distribution of water drop and dust particle, which are the main elements of atmospheric aerosols, are solved by the Mie theory and the Lambert-Beer Law in multispectral region. And then, the parameters of three widely used functions, i.e. the log normal distribution (L-N), the Junge distribution (J-J), and the normal distribution (N-N), which can provide the most useful representation of aerosol size distributions, are inversed by the ABC algorithm in the dependent model. Numerical results show that the ABC algorithm can be successfully applied to recover the aerosol size distribution with high feasibility and reliability even in the presence of random noise.

Paper Details

Date Published: 7 August 2015
PDF: 6 pages
Proc. SPIE 9623, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 96230T (7 August 2015); doi: 10.1117/12.2191817
Show Author Affiliations
Li Wang, Zhejiang Univ. of Technology (China)
Feng Li, Zhejiang Univ. of Technology (China)
Ma-ying Yang, Zhejiang Univ. of Technology (China)


Published in SPIE Proceedings Vol. 9623:
2015 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems
Jigui Zhu; Hwa-Yaw Tam; Kexin Xu; Hai Xiao; Sen Han, Editor(s)

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