Multi-Wavelength Fitting Simulation and Inversion of Atmospheric Aerosol Spectrum Distribution

Jiwei Xu; Dong Liu; Chenbo Xie; Zhenzhu Wang; Bangxin Wang; Zhiqing Zhong; Hui Ma; Yingjian Wang

doi:10.3788/AOS201737.1001006

Acta Optica Sinica, Volume. 37, Issue 10, 1001006(2017)

Multi-Wavelength Fitting Simulation and Inversion of Atmospheric Aerosol Spectrum Distribution

Jiwei Xu^1,2, Dong Liu^1、*, Chenbo Xie¹, Zhenzhu Wang¹, Bangxin Wang¹, Zhiqing Zhong¹, Hui Ma^1,2, and Yingjian Wang¹

¹ Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui 230031, China

² University of Science and Technology of China, Hefei, Anhui 230026, China

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Figures & Tables(7)

$Influence of complex refractive index on (a) Q532B and (b) Q532E$

Fig. 1. Influence of complex refractive index on (a) Q532B and (b) Q532E

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Fig. 2. Inversion process of aerosol spectrum distribution

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$Influence of complex refractive index uncertainty on inversion results. (a) mr at 355 nm; (b) mr at 532 nm; (c) mr at 1064 nm; (d) mi at 355 nm; (e) mi at 532 nm; (f) mi at 1064 nm$

Fig. 3. Influence of complex refractive index uncertainty on inversion results. (a) mr at 355 nm; (b) mr at 532 nm; (c) mr at 1064 nm; (d) mi at 355 nm; (e) mi at 532 nm; (f) mi at 1064 nm

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Table 1. Complex refractive index of aerosol components and water at different wavelengths

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Table 1. Complex refractive index of aerosol components and water at different wavelengths

Component	Index at 355 nm		Index at 532 nm		Index at 1064 nm
Component	m_r	m_i	m_r	m_i	m_r	m_i
Water-soluble	1.530	5.00×10^-3	1.530	6.00×10^-3	1.520	1.70×10^-2
Soot	1.750	4.65×10^-1	1.750	4.40×10^-1	1.750	4.40×10^-1
Dust-like	1.530	8.00×10^-3	1.530	8.00×10^-3	1.520	8.00×10^-3
Oceanic	1.390	1.20×10^-7	1.381	4.26×10^-9	1.370	2.43×10^-5
Sulfate	1.452	1.00×10^-8	1.430	1.00×10^-8	1.423	1.50×10^-6
Mineral	1.530	1.70×10^-2	1.530	5.50×10^-3	1.530	1.00×10^-3
Water	1.343	6.50×10^-9	1.333	1.96×10^-9	1.327	2.86×10^-6

Table 2. Types and components of aerosol

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Table 2. Types and components of aerosol

Type	Component
Clean continental	Water-soluble and dust-like
Urban & rural & continental & industrial	Water-soluble, soot and dust-like
Desert dust	Mineral
Maritime-clean maritime-mineral maritime-polluted	Oceanic and sulfateOceanic, sulfate and mineralWater-soluble, soot and oceanic

Table 3. Setting of parameters

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Table 3. Setting of parameters

Parameter	Given value	Input value
Parameter	Dust-like	Dust-like	Water-soluble
m	1.53+0.008i;1.53+0.008i;1.52+0.008i;	1.525+0.008i1.525+0.008i1.525+0.008i	1.525+0.005i1.525+0.006i1.525+0.017i
N, σ, r_m	50.0, 1.5, 1.2	100.0, 1.0, 1.0	150.0, 1.5, 1.5

Table 4. Simulation inversion results

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Table 4. Simulation inversion results

Value	Inversion result
Value	Dust-like		Water-soluble
Initial value (N,σ,r_m)	100.0,1.0,1.0	150.0,1.5,1.5	100.0,1.0,1.0	150.0,1.5,1.5
Cost function	0.028	0.029	0.892	0.658
Inversion value (N,σ,r_m)	50.02,1.50,1.20	50.01,1.50,1.20	-	-

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Jiwei Xu, Dong Liu, Chenbo Xie, Zhenzhu Wang, Bangxin Wang, Zhiqing Zhong, Hui Ma, Yingjian Wang. Multi-Wavelength Fitting Simulation and Inversion of Atmospheric Aerosol Spectrum Distribution[J]. Acta Optica Sinica, 2017, 37(10): 1001006

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Paper Information

Category: Atmospheric Optics and Oceanic Optics

Received: Mar. 29, 2017

Accepted: --

Published Online: Sep. 7, 2018

The Author Email: Dong Liu (dliu@aiofm.ac.cn)

DOI:10.3788/AOS201737.1001006

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