2013
DOI: 10.3103/s1068373913030102
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Snow cover as an indicator of cumulative man-made pollution in the area of influence of cities and roads

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Cited by 6 publications
(3 citation statements)
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“…The use of modern observation tools and mathematical modeling makes it possible to obtain a picture of the processes of pollutants transport in the atmosphere, areas of pollution, to assess the total aerosol fallout [1,2,3,4]. Snow cover is the budgetary and informative material for conducting ground and satellite observations in Siberia [3,5,6,7,8]. It accumulates the multicomponent composition of pollutants and reflects the spatial dynamics of the spread of atmospheric emissions from sources.…”
Section: Introductionmentioning
confidence: 99%
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“…The use of modern observation tools and mathematical modeling makes it possible to obtain a picture of the processes of pollutants transport in the atmosphere, areas of pollution, to assess the total aerosol fallout [1,2,3,4]. Snow cover is the budgetary and informative material for conducting ground and satellite observations in Siberia [3,5,6,7,8]. It accumulates the multicomponent composition of pollutants and reflects the spatial dynamics of the spread of atmospheric emissions from sources.…”
Section: Introductionmentioning
confidence: 99%
“…It accumulates the multicomponent composition of pollutants and reflects the spatial dynamics of the spread of atmospheric emissions from sources. Due to the snow cover, winter satellite images provide a picture of aerosol deposition of impurities across the territories [5,6,9,10,11,12]. Lowparameter models of mono-and polydisperse, in the case of low sources -light impurities can be used to reconstruct contamination fields.…”
Section: Introductionmentioning
confidence: 99%
“…A reliable indicator of Siberian territories contamin ation is a snow cover which, as a n atural tablet-accumulator gives the value of dry and wet aerosol preci pitations during the winter period [14,15]. In comparison with air, snow sampling does not require complex equi pment.…”
Section: Introductionmentioning
confidence: 99%