Possibilities of the multichannel lidar spectrometer technique for investigation of the atmospheric aerosols and pollutions

Boyan Tatarov; Nobuo Sugimoto; Ichiro Matsui; Dong-Ho Shin; Detlef Müller

doi:10.1117/12.869829

16 November 2010 Possibilities of the multichannel lidar spectrometer technique for investigation of the atmospheric aerosols and pollutions

Boyan Tatarov, Nobuo Sugimoto, Ichiro Matsui, Dong-Ho Shin, Detlef Müller

Author Affiliations +

Proceedings Volume 7860, Lidar Remote Sensing for Environmental Monitoring XI; 78600C (2010) https://doi.org/10.1117/12.869829
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of

Abstract

In inelastic Raman scattering the scattered signal consists of radiation that has undergone a frequency shift which is characteristic for the stationary energy states of an irradiated molecule. Nowadays, Raman and fluorescence spectroscopy is commonly used in chemistry. Information on the radiation that results from transition between the vibrational energy states of the excited molecules, respectively, is specific to the chemical bonds and symmetry of molecules. This radiation therefore provides unique information regarding the irradiated molecule according to which the molecular species can be identified. Raman spectroscopy represents a particularly powerful tool for laser remote sensing because it allows us to both identify and quantify the trace constituent relative to the major constituents of a mixture. In this paper we present a multi-channel spectrometric lidar system which allows us to measure Raman and fluorescence spectrums that give us information on chemical signatures characteristic for chemical components of aerosol particles and pollutions. In the following, we describe the methodology, the system and we show experimental results.

Citation Download Citation

Boyan Tatarov, Nobuo Sugimoto, Ichiro Matsui, Dong-Ho Shin, and Detlef Müller "Possibilities of the multichannel lidar spectrometer technique for investigation of the atmospheric aerosols and pollutions", Proc. SPIE 7860, Lidar Remote Sensing for Environmental Monitoring XI, 78600C (16 November 2010); https://doi.org/10.1117/12.869829

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