1Univ. Ouargla, Fac. des Mathématiques et des Sciences de la Matière, Lab. Rayonnement et Plasmas et Physique de Surface, Ouargla30000, Algeria
2Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Algeria
3Univ. Ouargla, Fac. des Mathématiques et des Sciences de la Matière, Lab. Développement des énergies nouvelles et renouvelables dans les zones arides et sahariennes, Ouargla30000, Algeria
*Corresponding Author E-mail: lazhar.benmebrouk@gmail.com
The aim of this study is to detect the chemical elements of the greenhouse effect from the LIDAR signal. Using a digital program developed by Fortran language, and based on spectral data. In the present work, The LIDAR sample is clearly contains water vapor and carbon dioxide. According to our results, the content of the sample with methane and the non-detection of nitrogen oxide, due to the absence of its absorption signal in the spectral range of the experimental signal. Carbon dioxide is one of the most dangerous greenhouse gases, our results show that 1 mole of this gas requires 1.45 moles of water vapor.
Atmosphere, Greenhouse effect, Light detection, Ranging (LIDAR), Carbon dioxide, Methane
