The Tikhonov Regularization Method Improved by Genetic Algorithm is used to Retrieve the Non-Spherical Particle Spectral Distribution

Jiaqi Guo, Hu Zhao, Qingqing Xie, Yapeng Liu, Xirui Ma, Ze Qiao, B. Zhong, F. Ding
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引用次数: 1

Abstract

In this paper, an improved Tikhonov regularization method based on genetic algorithm is proposed to retrieve the non-spherical aerosol particle spectral distribution. Based on the ellipsoid and the cylindrical shape aerosol particles, for example, the T matrix method is used to get the ball, aerosol optical parameters using genetic algorithm combining with Tikhonv regularization method, fitting the same refractive index under the environment of different forms of spherical particle distribution, after analyzed the optical parametric data for the influence of particle distribution in inversion algorithm. The experiments show that the Tikhonov regularization method based on the improved genetic algorithm proposed in this paper is an effective method to retrieve the non-spherical aerosol particle spectral distribution, and the inversion effect is better.
采用遗传算法改进的Tikhonov正则化方法反演非球形粒子谱分布
本文提出了一种改进的基于遗传算法的Tikhonov正则化方法,用于反演非球形气溶胶粒子谱分布。以椭球和圆柱形气溶胶粒子为例,采用T矩阵法得到球状气溶胶的光学参数,采用遗传算法结合Tikhonv正则化方法,拟合相同折射率环境下不同形式的球形粒子分布,之后分析了光学参数数据对粒子分布的影响,进行了反演算法。实验表明,本文提出的基于改进遗传算法的Tikhonov正则化方法是一种有效的反演非球形气溶胶粒子谱分布的方法,且反演效果较好。
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