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

DOI

10.3906/fiz-1203-17

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.

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