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Article information
2022 , Volume 27, ¹ 3, p.84-94
Dergunov A.V., Krasnoshchekov K.V., Yakubailik O.E.
Satellite monitoring and reanalysis data processing technology for assessing the state of the air in the Krasnoyarsk agglomeration
The subject of present research work is methods for assessing the ecological state of the atmosphere of Krasnoyarsk and its surroundings, based on the joint processing of initial information on air pollution of various types. We considered data for three winter seasons — from November to February, in 2019, 2020 and 2021, a total of 12 winter months. All available data from the urban network of ground monitoring stations, satellite data from the MODIS MAIAC instrument, and weather data from the NCEP GFS reanalysis model were processed. Analysis of the data allows revealing the relationship between the increased level of atmospheric pollution and the periods of temperature inversions determined by the temperature difference on isobaric surfaces in the surface layer of the atmosphere. It was found that the proportion of days with temperature inversion among the total number of days exceeding the average daily PM 2,5 maximum permissible concentration for the entire observation period under consideration is 81 %. Comparative analysis of data on the level of air pollution obtained from ground-based monitoring stations and as a result of processing MODIS MANIAC satellite information shows a high degree of their agreement, the coefficient of determination 𝑅2 = 0.84. The work also considered data from the TROPOMI Sentinel-5P instrument, which allow obtaining detailed spatial information on gaseous harmful substances. Based on remote sensing data from MANIAC and Sentinel-5P, pollution maps of the territory of Krasnoyarsk and its environs were built.
[full text] [link to elibrary.ru]
Keywords: temperature inversion, air pollution, GFS, particulate matter, PM2,5, MAIAC, AOD, Krasnoyarsk
doi: 10.25743/ICT.2022.27.3.007
Author(s):
Dergunov Alexander Vladimirovich
Office: Krasnoyarsk Science Center SB RAS
Address: 660036, Russia, Krasnoyarsk
E-mail: alexdergunov@icm.krasn.ru
SPIN-code: 7777-5232Krasnoshchekov Konstantin Vyacheslavovich
Office: Krasnoyarsk Science Center SB RAS
Address: 660036, Russia, Krasnoyarsk
E-mail: krasko@icm.krasn.ru
SPIN-code: 2937-3719Yakubailik Oleg Eduardovich
PhD. , Associate Professor
Position: Senior Research Scientist
Office: Institute of Computational Modelling SB RAS, Federal Research Center Krasnoyarsk Science Center SB RAS
Address: 660036, Russia, Krasnoyarsk, Akademgorodok 50/44
Phone Office: (391)242-6432
E-mail: oleg@icm.krasn.ru
SPIN-code: 7820-4178 References:
1. Zarubin G.P., Novikov Yu.V. Gigiena goroda [City hygiene]. Moscow: Meditsina; 1986: 272. (In Russ.)
2. Kaufman Yo.J., Tanre D., Boucher O. A satellite view of aerosols in the climate system. Nature. 2002; 419(6903):215–223. DOI:10.1038/nature01091.
3. Brunekreef B., Holgate S.T. Air pollution and health. Lancet. 2002; 360(9341):1233–1242. DOI:10.1016/S0140-6736(02)11274-8.
4. Nemmar A., Hoet P.H.M., Vanquickenborne B., Dinsdale D., Thomeer M., Hoylaerts M.F., Vanbilloen H., Mortelmans L., Nemery B. Passage of inhaled particles into the blood circulation in humans. Circulation. 2002; (105):411–414. DOI:10.1161/hc0402.104118.
5. Helfand W.H., Lazarus J., Theerman P. Donora, Pennsylvania: an environmental disaster of the 20th century. American Journal of Public Health. 2001; 91(4):553. DOI:10.2105/ajph.91.4.553.
6. Helfand W.H., Lazarus J., Theerman P. Health impacts of particulate matter in five major Estonian towns: main sources of exposure and local differences. Air Quality, Atmosphere and Health. 2011; 4(3–4):247–258. DOI:10.1007/s11869-010-0075-6.
7. Analitis A., Katsouyanni K., Dimakopoulou K., Samoli E., Nikoloulopoulos A., Petasakis Y., Touloumi G., Schwartz J., Anderson H.R., Cambra K., Forastiere F., Zmirou D., Vonk J.M., Clancy L., Kriz B., Bobvos J., Pekkanen J. Short-term effects of ambient particles on cardiovascular and respiratory mortality. Epidemiology. 2006; 17(2):230–233. DOI:10.1097/01.ede.0000199439.57655.6b.
8. Zanobetti A., Franklin M., Koutrakis P., Schwartz J. Fine particulate air pollution and its components in association with cause-specific emergency admissions. Environmental Health. 2009; 8(1):1–12. DOI:10.1186/1476-069X-8-58.
9. Dominici F., Peng R.D., Bell M.L., Pham L., McDermott A., Zeger S.L., Samet J.M. Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. The Journal of the American Medical Association. 2006; 295(10):1127–1134. DOI:10.1001/jama.295.10.1127.
10. Becker A.A., Agaev T.B. Okhrana i kontrol’ zagryazneniya prirodnoy sredy [Protection and control of pollution of the natural environment]. Leningrad: Gidrometeoizdat; 1989: 287. (In Russ.)
11. Eremkin A.I., Kvashnin I.M., Yunkerov Yu.I. Normirovanie vybrosov zagryaznyayushchikh veshchestv v atmosferu [Regulation of emissions of pollutants into the atmosphere]. Moscow: Izdatel’stvo ASV; 2000: 170. (In Russ.)
12. Matveev L.T. Kurs obshchey meteorologii. Fizika atmosfery [The course of general meteorology. Physics of the atmosphere]. Leningrad: Gidrometeoizdat; 1984: 752. (In Russ.)
13. Bezuglaya E.Yu., Rastorgueva G.P., Smirnova I.V. Chem dyshit promyshlennyy gorod [What an industrial city breathes]. Leningrad: Gidrometeoizdat; 1991: 251. (In Russ.)
14. Zuev V.E., Krasnenko N.P., Fedorov V.A., Fursov M.G. Acoustic sounding for the boundary layer of the atmosphere. Doclady USSR Academy of Sciences. 1981; 257(5):1092–1096. Available at: http://mi.mathnet.ru/dan44384 (accessed 05.05.2022). (In Russ.)
15. The Global Forecast System (GFS) documentation. Available at: https://nomads.ncep.noaa.gov/txt_descriptions/GFS_doc.shtml (accessed 05.05.2022).
16. Lin C., Labzovskii L., Mak H., Fung J., Lau A., Kenea S., Bilal M., Hey J., Lu X., Ma J. Observation of PM2.5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring. Atmospheric Environment. 2020; (227):117410. DOI:10.1016/j.atmosenv.2020.117410.
17. Wgrib2 utility to read and write grib2 files. Available at: https://www.cpc.ncep.noaa.gov/products/ wesley/wgrib2 (accessed 05.05.2022).
18. You W., Zang Z., Zang L., Li Z., Chen D., Zhang G. Estimating ground-level PM10 concentration in Northwestern China using geographically weighted regression based on satellite AOD combined with CALIPSO and MODIS fire count. Remote Sensing of Environment. 2015; (168):276–285. DOI:10.1016/j.rse.2015.07.020.
19. P´er´e J.C., Pont V., Mallet M., Bessagnet B. Mapping of PM10 surface concentrations derived from satellite observations of aerosol optical thickness over south-eastern France. Atmospheric Research. 2009; 91(1):1–8. DOI:10.1016/j.atmosres.2008.05.001.
20. Lin C., Li Y., Yuan Z., Lau A., Li C., Fung J. Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2.5. Remote Sensing of Environment. 2015; (156):117–128. DOI:10.1016/j.rse.2014.09.015.
Bibliography link:
Dergunov A.V., Krasnoshchekov K.V., Yakubailik O.E. Satellite monitoring and reanalysis data processing technology for assessing the state of the air in the Krasnoyarsk agglomeration // Computational technologies. 2022. V. 27. ¹ 3. P. 84-94
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