Determination of the Main Factors Influencing the Chemical Composition of Atmospheric Deposition in the Territory of the Southern Baikal Region (Eastern Siberia, Russia)

Yelena Molozhnikova (), Maxim Shikhovtsev (), Viktor Kalinchuk, Olga Netsvetaeva and Tamara Khodzher
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Yelena Molozhnikova: Limnological Institute, Siberian Branch Russian Academy of Sciences, Ulan-Batorskaya Street 3, Irkutsk 664033, Russia
Maxim Shikhovtsev: Limnological Institute, Siberian Branch Russian Academy of Sciences, Ulan-Batorskaya Street 3, Irkutsk 664033, Russia
Viktor Kalinchuk: V.I. Il’ichev Pacific Oceanological Institute, Far Eastern Branch of Russian Academy of Sciences, Baltiyskaya Street 43, Vladivostok 690041, Russia
Olga Netsvetaeva: Limnological Institute, Siberian Branch Russian Academy of Sciences, Ulan-Batorskaya Street 3, Irkutsk 664033, Russia
Tamara Khodzher: Limnological Institute, Siberian Branch Russian Academy of Sciences, Ulan-Batorskaya Street 3, Irkutsk 664033, Russia

Sustainability, 2025, vol. 17, issue 13, 1-22

Abstract: In this study, a large portion of data on the chemical composition of precipitation falling in the South Baikal region shows the main factors determining their formation in 2017–2024. Taking into account the high variability of meteorological conditions in the region, both in time and in space, a method of observing the chemical composition of atmospheric precipitation has been developed, which makes it possible to determine its composition depending on the conditions of air mass formation. Using statistical analysis, marker substances characterizing the main groups of sources influencing the composition of atmospheric precipitation were identified. Joint analysis of air mass trajectories and data on chemical composition of precipitation allowed for establishing the areas of location of potential sources of precipitation pollution. All precipitation events were categorized based on the similarity of air mass formation conditions and chemical composition. Precipitation composition data collected on the shores of Lake Baikal reflect the influence of different types of pollutants such as industrial emissions, motor vehicles, dust storms, and forest fires. The results of the study are relevant for air quality assessment in the region and demonstrate the potential of using precipitation chemistry data to understand the long-range transport of pollutants, which contributes to sustainable development by increasing the availability of air quality data in ecologically significant regions such as Lake Baikal.

Keywords: chemical composition of precipitation; Baikal natural territory; atmospheric transport; HYSPLIT; CWT analysis; sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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