Multivariate statistical analysis of the chemical composition of the snow in the industrial cities of the Southern Baikal region

Maxim Yu. Shikhovtsev; Natalia A. Onishchuk; Olga G. Netsvetaeva; Yelena V. Molozhnikova

doi:10.1117/12.2600456

15 December 2021 Multivariate statistical analysis of the chemical composition of the snow in the industrial cities of the Southern Baikal region

Maxim Yu. Shikhovtsev, Natalia A. Onishchuk, Olga G. Netsvetaeva, Yelena V. Molozhnikova

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Proceedings Volume 11916, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 119161Q (2021) https://doi.org/10.1117/12.2600456
Event: 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2021, Moscow, Russian Federation

Abstract

This article investigates the relationship between the level of environmental pollution and morbidity of the population in the industrial centres of the Southern Baikal region. To determine the level of environmental pollution, a chemical analysis of snow sampled in three large industrial centres of the Irkutsk Region was carried out. The methods of statistical data processing (RStudio programme) revealed the groups of anthropogenic sources that had the maximum impact on the ecosystem of the cities in the Irkutsk agglomeration. We studied the relationships between the main pollutants and diseases associated with them. The variability in the morbidity of the population and the chemical composition of the snow was compared for 2013 and 2020.

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Maxim Yu. Shikhovtsev, Natalia A. Onishchuk, Olga G. Netsvetaeva, and Yelena V. Molozhnikova "Multivariate statistical analysis of the chemical composition of the snow in the industrial cities of the Southern Baikal region", Proc. SPIE 11916, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 119161Q (15 December 2021); https://doi.org/10.1117/12.2600456

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