Application of improved artificial fish school algorithm in retrieving aerosol particle size distribution

作者：He Zhenzong; Qi Hong^*; Jia Teng; Ruan Liming

来源：Journal of Central South University(Science and Technology), 2016, 47(6): 2141-2146.

DOI：10.11817/j.issn.1672-7207.2016.06.043

• Aerosol particle size distribution
• Aerosol size distributions
• Anomalous diffraction approximations
• Artificial fish school algorithm
• Convergence rates
• Independent model
• Lambert-Beer law
• Spectral extinctions

Based on the spectral extinction method, an improved artificial fish school algorithm (IAFSA) was employed to retrieve the monomodal and bimodal aerosol size distributions. The direct problem was solved by the anomalous diffraction approximation (ADA) and Lambert-beer law. The results show that IAFSA can overcome low convergence rate and accuracy, compared with AFSA. Moreover, in retrieving the aerosol size distribution with the dependent model, the IAFSA shows satisfactory convergence accuracy and robustness. IAFSA can be employed to estimate the actual aerosol size distribution over Harbin with the independent model.

• 出版日期2016