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The Influence of Cement Plant on the Atmospheric Pollution with Microscale Particulate Matter in Spassk-Dalny Town (Primorsky Region, Russia) – Particle Size Analysis

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International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017 (EMMFT 2017)

Abstract

The paper is focused on the research of the influence of a large cement plant on the atmospheric particulate matter of Spassk-Dalny town by laser granulometry methods. Atmospheric particulates were studied in the snow cover collected during snowfall in January 2015. The sampling points were located near plants, along major streets, as well as in the residential area. It is shown that the atmosphere of this town is notably polluted with particles under 10 µm (PM10). In 8 sample points out of 12 we found hazardous to health microscale particles in significant quantities – from 16.8 to 27.8%. Large particles sized above 400 µm prevail in residential areas of the town amounting to 69.7%. We can conclude that the atmosphere of Spassk-Dalny suffers from the negative influence of a large source of microscale pollution. It is evidenced by the presence in almost all areas of particles under 10 µm in size which may be hazardous for human health and the environment.

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Acknowledgements

The research was conducted using the equipment of the Interdepartmental Center of Analytical Control of the State of Environment FEFU and Nanocenter FEFU.

This work was supported by Grant of the President of the Russian Federation for young doctor of sciences (MD-7737.2016.5).

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Correspondence to Aleksei Kholodov .

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Kholodov, A., Ugay, S., Drozd, V., Gulkova, S., Golokhvast, K. (2018). The Influence of Cement Plant on the Atmospheric Pollution with Microscale Particulate Matter in Spassk-Dalny Town (Primorsky Region, Russia) – Particle Size Analysis. In: Murgul, V., Popovic, Z. (eds) International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017. EMMFT 2017. Advances in Intelligent Systems and Computing, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-319-70987-1_110

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  • DOI: https://doi.org/10.1007/978-3-319-70987-1_110

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  • Online ISBN: 978-3-319-70987-1

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