## 4 Conclusions  
The research was devoted to the approach of the method of geostatistical processing of a large amount of data for the construction of maps of the spatial distribution of atmospheric impurities in the snow cover of the Baikal basin. Based on statistical processing of data and direct sampling of snow cover in large industrial centers and the Baikal basin, an inventory of sources affecting the composition of atmospheric precipitation in the region was performed. For each of the fourteen studied areas, a set of predominant tracer pollutants was obtained, and the levels of snow cover pollution varied greatly across the selected areas. The average level of snow pollution in the industrial centers of the region was two times higher than in the remote areas. Atmospheric impurities were transferred from the large regional cities (Irkutsk, Angarsk, and Shelekhov) tens of kilometers away from them along the prevailing wind directions. Snow pollution in the lake basin and on its coast was noted in settlements and along the valleys of the Angara and Selenga Rivers. The greater the distance from the pollution sources, the lower the concentrations and accumulated amounts of all substances analyzed in snow water. Quantitative estimates of the input of soluble substances in the snow cover allowed for the zoning of the studied area according to the degree of anthropogenic load. Based on the analyzed indicators, the territory of the coast and water area of Southern Baikal was determined to be the most susceptible to anthropogenic pollution due to the transfer of atmospheric emissions from the industrial complexes of the Baikal region. Increased sulfate accumulations in the snow cover were recorded near coal heating sources. The accumulations of mineral forms of nitrogen in the snow cover in the studied area were more even and were associated with both heat and power sources and vehicles. A high level of accumulation of soluble substances in the snow cover was determined not only in areas with high concentrations of pollutants but also in areas with a high snow cover (the area of the Baikal Reserve with a snow cover depth of 80 to 105 cm). The use of the geostatistical analysis method has proven to be an effective tool for conducting environmental impact assessments. In spatial terms, the methods used allowed for visually determining the range and intensity of the impact of a particular group of sources in the Baikal basin. The performed geostatistical analysis allowed visualization of stable pollution fields from enterprises producing cement, aluminum, etc. The localization of tracer substances in the vicinity of the source of pollution and in the direction of the main transfer pathways of atmospheric emissions was determined both for single-industry towns (Selenginsk, Slyudyanka, Kamensk, and Shelekhov) and for the multiprofile industrial zone of the city of Angarsk. The revealed patterns of the spatial distribution of soluble pollutants in the snow cover, both for the background and urbanized areas of the studied region, will later be used while assessing the dispersion and zoning of the territory for other pollutants (heavy metals, persistent organic pollutants, etc.). With data on the volume of emissions and the amount of concentrations in the snow cover in the studied area, it is possible to calculate the deposition rates of various tracers on the underlying surface. Conceptualization, methodology, data analysis, writing, review and editing, Y.V.M. ; data analysis, digital mapping, M.Y.S. ; chemical analyses, O.G.N. ; project administration, review and editing, T.V.K. All authors have read and agreed to the published version of the manuscript. The research was performed on the topic of the state task of LIN SB RAS No. 0279-2021-0014 \"Investigation of the role of atmospheric fallout on water and terrestrial ecosystems of the Baikal Basin, identification of sources of atmospheric pollution\". Not applicable. Data available statement: Data used are available on request from the corresponding author.