Institute of Computational Mathematics and Mathematical Geophysics SB RAS

International Conference on Mathematical Methods in Geophysics «MMG-2008»

Akademgorodok, Novosibirsk, Russia, October 13-15, 2008

Abstracts

Mathematical and Statistical Simulation in Problems of the Physics of Atmosphere, Ocean, and Environmental Protection

Snow cover aerosol contamination monitoring methods of highway vicinities

Raputa V., Kokovkin V., Morosov S.

Institute of Computational Mathematics and Mathematical Geophysics of SB RAS,
Nikolaev Institute of Inorganic Chemistry of SB RAS,
Novosibirsk Institute of Organic Chemistry of SB RAS,
(Novosibirsk)

In the presentation the approaches based on complex study of snow cover contamination by autotransport pollution using -analytical chemistry methods and methods of mathematical geophysics, and the theories of the experiment planning are discussed. For series of winter seasons, the results of experimental studies carried out in the vicinities Novosibirsk highways with intensive movement are analyzed. The numerical long-term contamination by autotransport pollution model presented allows as reconstruction aerosol admixture concentration profiles at both sides of highway, and recalculation of concentrations on free orientation of the road in space that greatly increases the possibilities of interpreting the experimental studies. The model approbation showed suitable consistency with experimental data on PAH, different fractions of lead, macro-components. The comparison of reconstructed curves of PAH made on the basis experimental measurements for Sovietskoe and Barnauliskaya highways has shown their practically full identity within scale multiplier related to the value of total pollution. The crucial structural changes in autotransport aerosol pollution happened as a result of unleaded gasoline change are confirmed by analysis of snow cover contamination data. Taking into account the level of autotransport pollution on the environment, it is necessary to develop further theoretical and applied studies of this problem, create optimal and economic monitoring schemes and analysis data, work out efficient measures of reduction of the negative influence of the pollution. This work was partly supported by Presidium of RAN, project 16.6.

Note. Abstracts are published in author's edition

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