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

Sustainability

LarisaA. Begunova¹  MikhailYu. Semenov²  AntonV. Silaev³  YuriM. Semenov³ 

[1] Department of chemistry and food technology, Institute of high technologies,Irkutsk National Research Technical University, Lermontov st. 83, 664074 Irkutsk, Russia;Limnological institute of Siberian Branch of Russian Academy of Sciences, Ulan-Batorskaya st. 3, 664033 Irkutsk, Russia;V.B. Sochava Institute of Geography of Siberian Branch of Russian Academy of Sciences, Ulan-Batorskaya st. 1, 664033 Irkutsk, Russia;

关键词: Baikal;    snowpack;    air pollution;    tracers;    silicon;    aluminum;   

DOI  :  10.3390/su12083392

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown