Estimation of Influence of Features of the Gas-Aerosol Cloud Composition on the Background Radiation Spectrum of the Exposed Atmosphere

A two-component cloud is considered, which contains a gas component to be identified using the spectroradiometric method and an aerosol appearing for the disturbing factor. The model of monitoring of the atmosphere pollution is developed, in which elastic scattering of the incident light by aerosol and its resonance absorption by the gas component are examined. An equation for determining a minimal concentration of the identifiable gas component at the specified signal-to-noise ratio of the spectroradiometer is derived in the context of the offered model. The analytical solution is obtained for the particular case, when the absorption crosssections for the maximum and minimum of the radiation absorption intensity within the limits of the resonance line under consideration differ from each other by a factor of 2. It is shown, that reduction in the aerosol particle dispersion sharply decreases the capability of gas component identification. The conducted estimations have shown that if the provided signal-to-noise ratio is equal to 10, the gaseous contaminants identification is practically impossible already at an aerosol concentration of about 20 g/m2 when a particle size is equal to 10 ^m.

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