Determination of aerosol particle size distribution by a novel artificial bee colony-differential evolution hybrid algorithm

The aerosol size distribution (ASD), a vitally important environmental quality evaluation criterion, has a significant influence on radiative transfer and meteorological phenomena. To measure the ASD effectively and accurately, the light scattering measurement method combined with a novel ABC-DE hyb...

Full description

Saved in:
Bibliographic Details
Published in:Thermal science 2019, Vol.23 (2 Part B), p.1161-1172
Main Authors: He, Zhen-Zong, Mao, Jun-Kui, Han, Xing-Si, Liu, Zhao-Ying
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Convergence
Environmental quality
Evolutionary algorithms
Evolutionary computation
Light scattering
Parameter estimation
Particle size distribution
Probability distribution functions
Quality assessment
Radiative transfer
Retrieval
Swarm intelligence
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The aerosol size distribution (ASD), a vitally important environmental quality evaluation criterion, has a significant influence on radiative transfer and meteorological phenomena. To measure the ASD effectively and accurately, the light scattering measurement method combined with a novel ABC-DE hybrid algorithm which was based on the Artificial Bee Colony (ABC) algorithm and Differential Evolution (DE) algorithm, was proposed. First, the retrieval accuracy and convergence properties of the ABC-DE algorithm were compared with those of the ABC algorithm. The results revealed that the ABC-DE algorithm could avoid the phenomenon of local optima and low convergence accuracy which exited in ABC algorithm. Then, the parametric estimation of two commonly used monomodal ASDs, i.e. the Gamma distribution and the logarithmic normal (L-N) distribution were studied under different random measurement errors. The investigation indicated that the retrieval results using the ABC-DE showed better accuracy and robustness than those using the ABC. Moreover, the retrieval parameters with better monodromy characteristic would have better inverse accuracy. Finally, the actual measured ASDs over Harbin China were also retrieved. All the results confirm that the ABC-DE algorithm was an effective and reliable technique for estimating the ASD.
ISSN:0354-9836
2334-7163
DOI:10.2298/TSCI170330064H