Title of article :
Quantitative characterization of atmospheric desert particles via multispectral LiDAR method (UV to IR), using genetic algorithms and compared with Chomette s mode
Author/Authors :
ZEGHBIB, Samir University of Constantine - Faculty of Engineering, Institute of Electronics - Semiconductor and Ultra High Frequency Laboratory, Algeria , BOUZID, Samia University of Constantine - Faculty of Medicine - Research Unit, Laboratory of Lasers and Applications, Algeria , CHAABI, Abdelhafd University of Constantine - Faculty of Engineering, Institute of Electronics - Semiconductor and Ultra High Frequency Laboratory, Algeria
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 µm, 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
Journal title :
Turkish Journal of Physics
Journal title :
Turkish Journal of Physics
