Retrieval of aerosol optical constants from angular light-scattering measurement signals using principal component analysis approach--颗粒学报PARTICUOLOGY

He, Z., Mao, J., Han, X., & Wang, H. (2019). Retrieval of aerosol optical constants from angular light-scattering measurement signals using principal component analysis approach. Particuology, 43, 210-218. https://doi.org/10.1016/j.partic.2018.03.005

Retrieval of aerosol optical constants from angular light-scattering measurement signals using principal component analysis approach

Zhenzong He, Junkui Mao ^*, Xingsi Han, Hao Wang

Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

10.1016/j.partic.2018.03.005

Volume 43, April 2019, Pages 210-218

Received 14 June 2017, Revised 27 February 2018, Accepted 2 March 2018, Available online 20 July 2018, Version of Record 19 February 2019.

E-mail: mjkpe@nuaa.edu.cn

Highlights

• An optimal measurement angle selection method approach is developed to improve retrieval accuracy.

• Optimized selection angles can obtain better retrieval accuracy than random angles.

• Retrieval accuracy of refractive index is better than that of absorption index.

• Convergence speed and accuracy of ALSM method is better than those of LRTM method.

Abstract

An angular light-scattering measurement (ALSM) method combined with the probability density function-based ant colony optimization algorithm (PDF-ACO) is proposed for retrieval of aerosol optical constants. An optimal measurement angle selection method using a principal component analysis (PCA) approach is developed to improve retrieval accuracy. Results indicate that optimized angle selection can ensure retrieval accuracy. The aerosol optical constants over Beijing, China, which are available from the Aerosol Robotic Network (AERONET), are then reconstructed. The ALSM method’s convergence properties are also studied via comparison with those of the light reflection-transmittance measurement (LRTM) method. Results retrieved using the ALSM method show better convergence speed and accuracy than those retrieved using the LRTM method because the ALSM method does not require solution of the radiative transfer equation and allows more useful signals to be obtained. Additionally, the inverse accuracy of the refractive index results is better than that of the absorption index results; this is attributed to differences between the monodromic characteristics of the refractive index and absorption index retrieval results. All results confirm that the combination of the ALSM method with the PDF-ACO algorithm and the optimal measurement angle selection method provides effective and reliable aerosol optical constant reconstruction.

Graphical abstract

Keywords

Angular light-scattering measurement method; Aerosol optical constant; Ant colony optimization algorithm; Principal component analysis; Inverse radiation problem

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