Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 22, 2025
Number 1 Number 2 Number 3 Number 4
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 4, pp. 333-348

Analysis of long-term data on the content of ecotoxicants in the atmosphere of the Russian Federation based on satellite data

A.A. Tronin 1 , M.P. Vasiliev 1 , A.V. Kiselev 1 , G.M. Nerobelov 1, 2, 3 
1 Saint Petersburg Scientific Research Center for Ecological Safety RAS, Saint Petersburg, Russia
2 Saint Petersburg State University, Saint Petersburg, Russia
3 Russian State Hydrometeorological University, Saint Petersburg, Russia
Accepted: 24.06.2025
DOI: 10.21046/2070-7401-2025-22-4-333-348
Aerotoxicants — air pollutants (aerosols, nitrogen and sulfur dioxides, formaldehyde and carbon monoxide) have a significant impact on the health of people and ecosystems. Analysis of ecotoxicant content is important for understanding processes in the surface layer of the atmosphere and monitoring air quality. In recent decades, a system of remote methods for obtaining information on atmospheric pollution has been developed, based on Earth remote sensing devices. Based on satellite observations, the study analyzed long-term data on the content of aerotoxicants, as well as water vapor and the intensity of solar radiation in the atmosphere of 89 subjects of the Russian Federation. Statistical processing of the data was carried out. Trends in the concentrations of aerotoxicants were calculated and their statistical significance was determined. As a result of image processing, maps of average long-term values and standard deviations of aerotoxicant concentrations, as well as maps of concentration trends for all regions of Russia and adjacent territories, were compiled. Data analysis showed a clear connection between high concentrations of nitrogen and sulfur dioxides and urban and industrial agglomerations. High concentrations of aerosol and carbon monoxide are most likely related to emissions from forest fires. For most regions, an increase in nitrogen dioxide and sulfur dioxide, aerosol and solar radiation was noted, although in regions with high concentrations of nitrogen dioxide such as Moscow, Saint Petersburg, Moscow and Leningrad regions, a decrease in concentrations was observed. Decreases in average annual values of formaldehyde, carbon monoxide, and water vapor were observed for most regions. Satellite imaging capabilities for determining airborne toxicant concentrations are continually improving, and the availability of materials is growing. All this makes satellite observations, in combination with ground measurements, a useful tool for analyzing the environmental situation over large areas.
Keywords: aerotoxicant, subject of the Russian Federation, remote sensing of the Earth
Full text

References:

  1. Doklad ob ehkologicheskoi situatsii v Sankt-Peterburge v 2023 godu (Report on the environmental situation in Saint Petersburg in 2023), A. V. German, I. A. Serebritsky (eds.), Saint Petersburg, 2024, 221 p. (in Russian).
  2. Kotelnikov R. V., Loupian E. A., Balashov I. V., Preliminary analysis of forest fires in the Russian Federation in the 2023 fire season based on remote monitoring data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 5, pp. 327–334 (in Russian), DOI: 10.21046/2070-7401-2023-20-5-327-334.
  3. Morozova A. E., Sizov O. S., Elagin P. O., Agzamov N. A., Integral assessment of atmospheric air quality in the largest cities of Russia based on TROPOMI (Sentinel-5P) data for 2019–2020, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, V. 19, No. 4, pp. 23–29 (in Russian), DOI: 10.21046/2070-7401-2022-19-4-23-39.
  4. O sostoyanii i ob okhrane okruzhayushchei sredy Rossiyskoi Federatsii v 2023 godu (On the state and protection of the environment of the Russian Federation in 2023), Draft State report, Moscow: Minprirody Rossii; OOO “Intellektual’naya analitika”; FGBU “Direktsiya NTP”; Fond ehkologicheskogo monitoringa i mezhdunarodnogo tekhnologicheskogo sotrudnichestva, 2024, 707 p. (in Russian).
  5. Sostoyanie zagryazneniya atmosfery v gorodakh na territorii Rossii za 2023 g. (State of air pollution in cities on the territory of Russia for 2023), Saint Petersburg: Roshydromet, FGBU “GGO im. Voeikova”, 2024, 265 p. (in Russian).
  6. Tronin A. A., Sedeeva M. S., Nerobelov G. M., Vasiliev M. P., Monitoring of nitrogen dioxide content in the atmosphere of cities in Europe and Russia using satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 1, pp. 287–297 (in Russian), DOI: 10.21046/2070-7401-2023-20-1-287-297.
  7. Amritha S., Varikoden H., Patel V. K. et al., Global, regional and city scale changes in atmospheric NO2 with environmental laws and policies, Sustainable Cities and Society, V. 112, 2024, Article 105617, https://doi.org/10.1016/j.scs.2024.105617.
  8. Boesch H., Potts D., Marais E. A., Using Sentinel-5P and models to analyse air quality changes since the Coronavirus Outbreak, American Geophysical Union. Fall Meeting, 2020, Article A095-0020, https://ui.adsabs.harvard.edu/abs/2020AGUFMA095.0020B/abstract.
  9. Borsdorff T., van de Brugh J., Hu H. et al., Mapping carbon monoxide pollution from space down to city scales with daily global coverage, Atmospheric Measurement Techniques, 2018, V. 11, pp. 5507–5518, https://doi.org/10.5194/amt-11-5507-2018.
  10. Clerbaux C., Boynard A., Clarisse L. et al., Monitoring of atmospheric composition using the thermal infrared IASI/MetOp sounder, Atmospheric Chemistry and Physics, 2009, V. 9, pp. 6041–6054, https://doi.org/10.5194/acp-9-6041-2009.
  11. Elansky N. F., Lavrova O. V., Skorokhod A. I. et al., Trace gases in the atmosphere over Russian cities, Atmospheric Environment, 2016, V. 143, pp. 108–119, DOI: 10.1016/j.atmosenv.2016.08.046.
  12. Griffin D., Chen J., Anderson K. et al., Towards an improved understanding of wildfire CO emissions: a satellite remote-sensing perspective, https://egusphere.copernicus.org/, Preprint egusphere-2023-649, 2023, 37 p., https://doi.org/10.5194/egusphere-2023-649.
  13. Gupta G., Venkat Ratnam M., Madhavan B. L., Jayaraman A., Global trends in the aerosol optical, physical, and morphological properties obtained using multi-sensor measurements, Atmospheric Environment, 2023, V. 295, Article 119569, https://doi.org/10.1016/j.atmosenv.2022.119569.
  14. Kahn B. H., Irion F. W., Dang V. T., The Atmospheric Infrared Sounder version 6 cloud products, Atmospheric Chemistry and Physics, 2014, V. 14, No. 1, pp. 399–426, DOI: 10.5194/acp-14-399-2014.
  15. Krotkov N. A., McLinden C. A., Li C. et al., Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015, Atmospheric Chemistry and Physics, 2016, V. 16, pp. 4605–4629, https://doi.org/10.5194/acp-16-4605-2016.
  16. Levelt P. F., van den Oord G. H. J., Dobber M. R. et al., The Ozone Monitoring Instrument, IEEE Trans. Geoscience and Remote Sensing, 2006, V. 44, pp. 1093–1101, DOI: 10.1109/TGRS.2006.872333.
  17. Nurrohman R.K, Kato T., Ninomiya H. et al., Future projections of Siberian wildfire and aerosol emissions, Biogeosciences, 2024, V. 21, Iss. 18, pp. 4195–4227, https://doi.org/10.5194/bg-21-4195-2024.
  18. OMI algorithm theoretical basis document. V. IV. OMI trace gas algorithms, Cambridge, MA, USA: Smithsonian Astrophysical Observatory, 2002, 78 p.
  19. Ozone Monitoring Instrument (OMI) Data User’s Guide, OMI Team, 2009, 64 p., https://web.corral.tacc.utexas.edu/CSR/Public/OMI/Ozone/README.OMI_DUG.pdf.
  20. Pommier M., Law K. S., Clerbaux C. et al., IASI carbon monoxide validation over the Arctic during POLARCAT spring and summer campaigns, Atmospheric Chemistry and Physics, 2010, V. 10, pp. 10655–10678, https://doi.org/10.5194/acp-10-10655-2010.
  21. Vasilakopoulou C. N., Matrali A., Skyllakou K. et al., Rapid transformation of wildfire emissions to harmful background aerosol, npj Climate and Atmospheric Science, 2023, V. 6, Article 218, https://doi.org/10.1038/s41612-023-00544-7.