Skip to main navigation Skip to search Skip to main content

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

  • Zhenzong He
  • , Hong Qi*
  • , Teng Jia
  • , Liming Ruan
  • *Corresponding author for this work
  • School of Energy Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)2141-2146
Number of pages6
JournalZhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)
Volume47
Issue number6
DOIs
StatePublished - 26 Jun 2016
Externally publishedYes

Keywords

  • Aerosol
  • Improved artificial fish school algorithm
  • Particle size distribution

Fingerprint

Dive into the research topics of 'Application of improved artificial fish school algorithm in retrieving aerosol particle size distribution'. Together they form a unique fingerprint.

Cite this