Snow pollution in Lake Baikal water area in nearby land areas

Belozertseva, I. A.; Vorobyeva, I. B.; Vlasova, N. V.; Lopatina, D. N.; Yanchuk, M. S.

doi:10.1134/s0097807817030046

Cited by 21 publications

(11 citation statements)

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“…Using snow cover chemical composition as a pollution indicator reliable as to basing estimation of Krasnoyarsk ecological situation upon is focused on in a monograph by Khlebopros et al [4], as well as in Strimzha et al [5], Polikanova and Talovskaya [6], Badmayeva and Zimmerman [7], Demidenko and Vladimirova [8], and Onuchin et al [9,10]. Similar studies were done in Baikal Region [11,12], for Severonikel Industrial Complex, the Kola Peninsula, NW Russia [13], Tomsk Town [14,15], Tumen Town [16] and for many other industrial towns with stable snow cover. Studying snow cover to estimate pollution, particularly traffic impacts, in urban areas attracts nowadays much interest in Scandinavia [17,18], East European countries [19][20][21][22][23][24][25], the USA [26], and China [27].…”

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confidence: 98%

Using an Urban Snow Cover Composition-Based Cluster Analysis to Zone Krasnoyarsk Town (Russia) by Pollution Level

Онучин¹,

Kofman²,

Zubareva³

et al. 2020

Pol. J. Environ. Stud.

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Pollution is among key factors that determine townsmen's life quality and is seriously considered when it comes to people's residence preferences, housing cost, house building policy, migration, and other aspects of urban area management. Accurate pollution estimation and town zoning by pollution level based on these estimates are, therefore, challenges to be taken up in big cities with highly developed industries. Krasnoyarsk (56°1'8" N, 92°52'4" E), Siberia, the town of interest of this study, is, unfortunately, an infamous industrial pollution champion among Russia's largest towns.

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confidence: 98%

Using an Urban Snow Cover Composition-Based Cluster Analysis to Zone Krasnoyarsk Town (Russia) by Pollution Level

Онучин¹,

Kofman²,

Zubareva³

et al. 2020

Pol. J. Environ. Stud.

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“…Precision ranged from 2% to 7%, although most values were better than 10%, and accuracy ranged from 2.7% to 13.4% and, therefore, was very good. Additional data on snow meltwater chemistry were extracted from the literature [10][11][12][13].…”

Section: Sampling and Chemical Determinationsmentioning

confidence: 99%

“…The calculation of source contribution is easier using RMs. Nevertheless, despite numerous studies concerned with air pollution over Lake Baikal [10][11][12][13][14][15], RMs have never been applied for source apportionment in this area. The applicability of different RMs is conditioned by availability of input data.…”

Section: Introductionmentioning

confidence: 99%

Using Si, Al and Fe as Tracers for Source Apportionment of Air Pollutants in Lake Baikal Snowpack

et al. 2020

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The aim of this study was to select chemical species characterized by distinctly different proportions in natural and anthropogenic particulate matter that could be used as tracers for air pollutant sources. The end-member mixing approach, based on the observation that the chemical species in snow closely correlated with land use are those that exhibit differences in concentrations across the different types of anthropogenic wastes, was used for source apportionment. The concentrations of Si and Fe normalized to Al were used as tracers in the mixing equations. Mixing diagrams showed that the major pollution sources (in descending order) are oil, coal, and wood combustion. The traces of several minor sources, such as aluminum production plants, pulp and paper mills, steel rust, and natural aluminosilicates, were also detected. It was found that the fingerprint of diesel engines on snow is similar to that of oil combustion; thus, future research of the role of diesel engines in air pollution will be needed. The insufficient precision of source apportionment is probably due to different combinations of pollution sources in different areas. Thus, principles for the delineation of areas affected by different source combinations should be the subject of further studies.

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“…Snowpack is a unique natural archive of particles deposited from the atmosphere [6][7][8][9][10][11][12][13][14][15]. The snow washes out insoluble aerosol particles (lithogenic, biogenic, and anthropogenic) from the atmosphere as well as soluble compounds, including various pollutants [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Insoluble Particles in the Snowpack of the Ob River Basin (Western Siberia) a 2800 km Submeridional Profile

et al. 2020

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Snowpack exhibits properties that make it a unique natural archive of airborne pollution. The data on insoluble particles in the Ob River catchment (Western Siberia) snowpack are limited. Insoluble particles in the snowpack of Western Siberia were studied at 36 sites on a 2800 km submeridional profile from the city of Barnaul to Salekhard in February 2020. Snow samples were collected over the full depth of the snow core, from the surface of the snow cover to the boundary with soil, except for the lower 1–2 cm. After the filtration of melted snow through a 0.45-µm membrane, the particle composition was studied using a scanning electron microscope with an energy microprobe. In the background areas, the concentration of insoluble particles in the snow was below 2 mg/L. Significantly higher particle concentrations were encountered near cities and hydrocarbon production areas. Particulate matter in snow mainly consists of biogenic and lithogenic particles mixed with anthropogenic particles (ash and black carbon aggregates). The proportion of anthropogenic particles increases near cities and areas of active hydrocarbon production.

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Snow pollution in Lake Baikal water area in nearby land areas

Cited by 21 publications

References 1 publication

Using an Urban Snow Cover Composition-Based Cluster Analysis to Zone Krasnoyarsk Town (Russia) by Pollution Level

Using an Urban Snow Cover Composition-Based Cluster Analysis to Zone Krasnoyarsk Town (Russia) by Pollution Level

Using Si, Al and Fe as Tracers for Source Apportionment of Air Pollutants in Lake Baikal Snowpack

Insoluble Particles in the Snowpack of the Ob River Basin (Western Siberia) a 2800 km Submeridional Profile

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