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ABSTRACT
The article contains data on the chemical composition of snow, indicators of man-made load on the sites in the South-Western Administrative District of Moscow. In the samples of snow, such indicators as the content of ions of chlorine, potassium, calcium, magnesium, and sodium were analyzed. These indicators are of interest because they are components of anti-ice reagents (AIR) and are able to have a negative impact on the environment. In the course of the study, at all points, there was a significant excess of the content of the AIR components in the snow water compared to their content in the background.
Keywords: Anti-ice reagents, chlorides, urban environment, snow cover monitoring
1.INTRODUCTION
The city is an ecosystem that is formed under the influence of natural and anthropogenic factors. To maintain the stability of the urban ecosystem, the harmonious existence of the aforementioned factors is important. The favorable state of the urban environment contributes to the preservation of the health of the population of the country. In Russian cities, given the severity of the climate, there is a need for the processing of sites by the Urboecosystem with anti-ice reagents (AIR). AIRs exacerbate the complex ecological situation in the city, with a systematic negative impact on the components of the natural environment (Dryabzhinsky, Zubkova, 2017). Large-scale application of technical salt in the 70s - 90s of the XX century was one of the acute environmental problems of Moscow and other large cities of Russia (Chudakova, 2006). AIR are chemically active substances, adversely affecting the health of citizens, contributing to the corrosion of metal structures, destroying buildings and historical monuments (Nikiforova et al, 2014). It is known that the snow cover accumulates a significant part of atmospheric pollutants; it is a reliable indicator of anthropogenic impact on the environment. The study of the snow cover makes it possible to compile a picture of the spatial distribution of chemical elements and to estimate the intensity of the influence of pollution sources in winter, during the period of one snowfall and during the whole period of snow lying. At the same time, based on the results of constant monitoring of the snow cover, it is possible to detect not only the spatio-temporal patterns of the distribution of elements,...