AccScience Publishing / AJWEP / Volume 17 / Issue 2 / DOI: 10.3233/AJW200014
RESEARCH ARTICLE

Metropolis as a Source of Aerosol Pollution – Assessment  of Hazardous Factors and Ways to Minimize Negative Impact

Eugeny Kolpak1* Sergey Kondrashev2 Taisiia Chernega2 Irina Petunina3
Show Less
1 Faculty of Applied Mathematics and Control Process, Saint Petersburg State University Saint Petersburg-199034, Russian Federation
2 Department of Chemistry, Sechenov First Moscow State Medical University, Moscow-119991, Russian Federation
3 Department of Higher Mathematics, Federal State Budgetary Educational Institution of Higher Education, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar-350020, Russian Federation
AJWEP 2020, 17(2), 7–14; https://doi.org/10.3233/AJW200014
Submitted: 20 December 2019 | Revised: 30 December 2019 | Accepted: 30 December 2019 | Published: 7 May 2020
© 2020 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

The purpose of this article is to study aerosol pollution in a metropolis (Moscow), to evaluate the dangerous factors of aerosol pollution and ways to minimize their impact on the population and ecosystems of the city and surrounding areas. The research has been conducted in January 2015-August 2019 for five locations in the territory of Moscow, and one location 50 km from the metropolis. 10,978 samples have been processed in Moscow and the region, of which 2089 have been samples for station 1, 1597 – for station 2, 1956 – for station 3, 1971 – for station 4, 1704 – for station 5 and 1661 – for station 6. For all six locations in Moscow and the region, the average daily aerosol pollution exceeds 3%, which indicates a fairly safe composition of atmospheric air in the territory of the metropolis. The variability in the PM10 concentration indicators varies significantly between the years, more than three times in comparison with the variability between the seasons (p ≤ 0.05). Aerosol pollution of the Moscow metropolis is characterized by pronounced seasonality – maximum PM10 concentrations in April and minimal in November-December. The difference between warm and cold seasons can reach 15-20 µg/m3. In the annual cycle, a surge in PM10 is observed in April, immediately after snow melts, when there is a sharp change in humidity in the atmosphere of the metropolis.

Keywords
Aerosol pollution
seasonal fluctuation
metropolis
atmosphere
air masses
Conflict of interest
The authors declare they have no competing interests.
References

Air Pollution, Transport, Noise and Industrial Pollution (2019). Retrieved from http://acm.eionet.europa.eu

Alekseev, I., Abakumov, E., Petrova, A. and L. Vorona- Slivinskaya (2018). Evaluation of the ecotoxicological state of selected soils from urban environments of Russian arctic with the aim to substantiate reclamation and restoration strategies. In: Materials Science, Engineering & Chemistry. Web of Conferences conference proceedings.

Baumgardner, D., Grutter, M., Allan, J., Ochoa, C., Rappenglueck, B., Russell, L. and P. Arnott (2009). Physical and chemical properties of the regional mixed layer of Mexico’s megapolis. Atmospheric Chemistry and Physics, 9(15): 5711–5727.

Bezanilla, A., Krueger, A., Stremme, W. and M. Grutter (2014). Solar absorption infrared spectroscopic measurements over Mexico City: Methane enhancements. Atmósfera, 27(2):
173–183.

Bossioli, E., Tombrou, M., Dandou, A., Athanasopoulou, E. and K.V. Varotsos (2009). The role of planetary boundary layer parameterizations in the air quality of an urban area with complex topography. Boundary-layer Meteorology,131(1): 53–72.

Cui, Y., Yan, D., Hong, T. and J. Ma (2017). Temporal and spatial characteristics of the urban heat island in Beijing and the impact on building design and energy performance. Energy, 130: 286–297.

Environmental Situation of Moscow (2019). Retrieved from https://mosecom.ru/

Eresmaa, N., Karppinen, A., Joffre, S.M., Räsänen, J. and H. Talvitie (2006). Mixing height determination by ceilometer. Atmospheric Chemistry and Physics, 6(6):
1485–1493.

Ermakov, V.V., Gulyaeva, U.A., Tyutikov, S.F., Kuz’mina, T.G. and V.A. Safonov (2017). Biogeochemistry of calcium and strontium in the landscapes of eastern Transbaikalia. Geochemistry International, 55(12): 1105–1117.

Golitsyn, G.S., Gorchakov, G.I., Grechko, E.I., Semoutnikova, E.G., Rakitin, V.S., Fokeeva, E.V. and T.P. Safrygina
(2011). Extreme carbon monoxide pollution of the atmospheric boundary layer in Moscow region in the summer of 2010. Doklady Earth Sciences, 441: 1666–1672.

Golitsyn, G.S., Grechko, E.I., Wang, G., Wang, P., Dzhola, A.V., Emilenko, A.S. and E.V. Fokeeva (2015). Studying the pollution of Moscow and Beijing atmospheres with carbon monoxide and aerosol. Izvestiya, Atmospheric and Oceanic Physics, 51: 1–11.

Grabon, J.S., Davis, K.J., Kiemle, C. and G. Ehret (2010). Airborne lidar observations of the transition zone between the convective boundary layer and free atmosphere during the International H2O Project (IHOP) in 2002. Boundary- layer Meteorology, 134(1): 61–83.

He, X., Shen, S., Miao, S., Dou, J. and Y. Zhang (2015). Quantitative detection of urban climate resources and the establishment of an urban climate map (UCMap) system in Beijing. Building and Environment, 92: 668–678.

Helmis, C., Sgouros, G., Tombrou, M., Schäfer, K., Münkel, C., Bossioli, E. and A. Dandou (2012). A comparative study and evaluation of mixing-height estimation based on sodar-rass, ceilometer data and numerical model simulations. Boundary-layer Meteorology, 145(3):507–526.

Hygienic Standards (2014). Maximum allowable concentrations of pollutants in the atmospheric air of populated areas, no. 2.1.6. 1338-03.

Isaev, A.A. (2006). Climate in Moscow at the Turn of the 21th Century. In: Climate, Air Quality and Health of Muscovites, Adamant, pp. 9-42.

Kikegawa, Y., Tanaka, A., Ohashi, Y., Ihara, T. and Y. Shigeta (2014). Observed and simulated sensitivities of summertime urban surface air temperatures to anthropogenic heat in downtown areas of two Japanese major cities, Tokyo and Osaka. Theoretical and Applied Climatology, 117: 175–179.

Li, C., Zhou, J., Cao, Y., Zhong, J., Liu, Y. Kang C. and Y. Tan (2014). Interaction between urban microclimate and electric air-conditioning energy consumption during high temperature season. Applied Energy, 117: 149–156.

Lokoshchenko, M.A. (2015). Wind direction in Moscow. Russian Meteorology and Hydrology, 40(10): 639-646.

Lotteraner, C. and M. Piringer (2016). Mixing-height time series from operational ceilometer aerosol-layer heights. Boundary-layer Meteorology, 161(2): 265–287.

Münkel, C. (2007). Mixing height determination with lidar ceilometers-results from Helsinki testbed. Meteorologische Zeitschrift, 16(4): 451–459.

Piringer, M., Joffre, S., Baklanov, A., Christen, A., Deserti, M., De Ridder, K., Emeis, S., Mestayer, P., Tombrou,
M., Middleton, D., Baumann-Stanzer, K., Dandou, A., Karppinen, A. and J. Burzynski (2007). The surface energy balance and the mixing height in urban areas—activities and recommendations of COST-Action 715. Boundary- layer Meteorology, 124(1): 3–24.

Pomortsev, O.A., Pomortseva, A.A. and Y.I. Trofimtsev (2019). Cyclic Organization of Geological Environment: Permafrost Zone of Yakutia. In: IOP Conference Series: Earth and Environmental Science, 272(2): 022059.

Raputa, V.F., Olkin, S.E. and I.K. Reznikova (2008). Methods of numerical analysis of observational data on regional pollution of territories. Atmospheric and Ocean Optics,21(6): 558–562.

Salamanca, F., Georgescu, M., Mahalov, A., Moustaoui,
M. and M. Wang (2014). Anthropogenic heating of the urban environment due to air conditioning. Journal of Geophysical Research: Atmospheres, 119(10): 5949–5965.

Salamanca, F., Georgescu, M., Mahalov, A., Moustaoui, M., Wang, M. and B.M. Svoma (2013). Assessing summertime urban air conditioning consumption in a semiarid environment. Environmental Research Letters, 8(3):034022.

Schaefer, K., Flores-Jardines, E., Emeis, S., Grutter, M., Kurtenbach, R., Wiesen, P. and C. Müenkel (2009). Determination of mixing layer heights by ceilometer and influences upon air quality at Mexico City airport. Remote Sensing of Clouds and the Atmosphere, 7475(74): 750M.

Schatz, J. and C.J. Kucharik (2016). Urban heat island effects on growing seasons and heating and cooling degree days in Madison, Wisconsin USA. International Journal of Climatology, 36(15): 4873–4884.

Sitnov, S.A. (2009). Analysis of the spatiotemporal variability of the tropospheric NO2 over the Moscow metropolis according to the OMI spectrometer (Aura satellite). DAN,
429(4): 534–540.

Sitnov, S.A. (2011). Weekly variability of temperature and amount of precipitation in Moscow: Connection with weekly cyclicity of pollution and synoptic variability. News of Russian Academy of Sciences. Izvestiya, Atmospheric and Oceanic Physics, 47(4): 445.

Stremme, W., Ortega, I. and M. Grutter (2009). Using ground- based solar and lunar infrared spectroscopy to study the diurnal trend of carbon monoxide in the Mexico City boundary layer. Atmospheric Chemistry and Physics,9(20): 8061–8078.

Stukalyuk, S.V. (2017). The Effect of Climatic Factors on the Activity of Ants (Hymenoptera, Formicidae) in Broadleaf

Forests of Kiev. Communication 2. Entomological Review, 97(9): 1234–1243.

Teschke, G., Reichardt, J. and D. Engelbart (2008). Wavelet algorithm for the estimation of mixing layer height with ceilometers. In: Reviewed and revised papers presented at the 24th international laser radar conference (ILRC), Citeseer, pp. 23–27.

The European Environment Agency (2019). Retrieved from https://www.eea.europa.eu/

U.S. Environmental Protection Agency (2019). Retrieved from https://www.epa.gov/

Vidal, H.P. and G.B. Raga (1998). On the vertical distribution of pollutants in Mexico City. Atmósfera, 11(2): 95–108.

Xu, X., Chen, F., Shen, S., Miao, S., Barlage, M., Guo, W. and A. Mahalov (2018). Using WRF-Urban to assess summertime air conditioning electric loads and their impacts on urban weather in Beijing. Journal of Geophysical Research: Atmospheres, 123: 2475–2490.

Share
Back to top
Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing