Quantitative characterization of atmospheric desert particles via multispectral LiDAR method (UV to IR), using genetic algorithms and compared with Chomette\'s mode

Authors

SAMIR ZEGHBIB
SAMIA BOUZID
ABDELHAFID CHAABI

Abstract

Size distribution of desert aerosols was measured via LiDAR multi-spectral method using laser wavelengths from UV to mid-IR \lambda = 0.193, 0.694, 1.064, 3.370 and 10.60 \mu m, and applying statistical Markov chains and genetic algorithms. Our results are compared later with the well-known Chomette's desert model.

DOI

10.3906/fiz-1203-17

Keywords

Desert aerosols, LiDAR, LiDAR via impaction, Klett inversion, Mie theory, Chomette's desert model, genetic algorithms

First Page

151

Last Page

158

Recommended Citation

ZEGHBIB, SAMIR; BOUZID, SAMIA; and CHAABI, ABDELHAFID (2013) "Quantitative characterization of atmospheric desert particles via multispectral LiDAR method (UV to IR), using genetic algorithms and compared with Chomette\'s mode," Turkish Journal of Physics: Vol. 37: No. 1, Article 16. https://doi.org/10.3906/fiz-1203-17
Available at: https://journals.tubitak.gov.tr/physics/vol37/iss1/16