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Proceedings Paper

Recognition of composition and of microphysical characteristics of aerosol clouds in multifrequency sounding
Author(s): Boris G. Bravy; German K. Vasiliev; Vladimir Ya. Agroskin
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Paper Abstract

The recognition of composition and of microphysical characteristics of aerosol impurities is one of the most urgent tasks in monitoring of atmosphere. Some approaches to its solution are considered in the work. At first stage we were limited to five substances: fine-dispersion water and dust as background aerosol components of atmosphere; coarse- dispersion tributilamin, turbine oil and petroleum as possible impurities. Tributilamin was chosen as spectral analog of V gases. The modeling of input spectra and the recognition were carried out on 12 discrete lines in 2.9 - 4 micrometers spectral rage. As is well known, in this range the considered impurities have the pronounced spectral dependences of aerosol backscattering, the so-called spectral resonances. Spectra of aerosol backscattering for these substances were calculated with Mie theory. We applied evolutionary algorithm (genetic algorithm) and also more traditional optimization methods, namely gradient descent method, for recognition procedure. The comparative analysis of the mentioned methods was done; the concrete results of recognition and the dependence of recognition efficiency on the number of wavelength channels and on the accuracy of spectrum recording are given.

Paper Details

Date Published: 31 January 2002
PDF: 7 pages
Proc. SPIE 4539, Remote Sensing of Clouds and the Atmosphere VI, (31 January 2002); doi: 10.1117/12.454419
Show Author Affiliations
Boris G. Bravy, Institute of Problems of Chemical Physics (Russia)
German K. Vasiliev, Institute of Problems of Chemical Physics (Russia)
Vladimir Ya. Agroskin, Institute of Problems of Chemical Physics (Russia)


Published in SPIE Proceedings Vol. 4539:
Remote Sensing of Clouds and the Atmosphere VI
Klaus Schaefer; Olga Lado-Bordowsky; Adolfo Comeron; Michel R. Carleer; Janet S. Fender, Editor(s)

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