Visn. Nac. Akad. Nauk Ukr. 2020.(5): 80-89
https://doi.org/10.15407/visn2020.05.080

M.V. Savenets, V.I. Osadchyi, A.V. Oreshchenko
Ukrainian Hydrometeorological Institute of State Emergency Service of Ukraine and National Academy of Sciences of Ukraine, Kyiv

FOREST FIRES IN APRIL 2020 AND THE RESULTING CHANGES OF AIR QUALITY IN UKRAINE

The study discusses atmospheric air quality changes in Ukraine due to forest fires influence in the north of Ukraine in April 2020. Using Sentinel-5P satellite, data of carbon monoxide, nitrogen dioxide and aerosol index, in combination with HYSPLIT model, the study analyzes spatio-temporal variability of burning products and its distribution trajectories. There were two main wildfires episodes for the period of 4–21 April, 2020, which affected air quality in Ukraine. Depending on the wind direction, the most affected territories were located at less than 50 km from active fires. Elevated carbon monoxide content was detected at the distance up to 300 km from the main emission sources. Atmospheric air quality deterioration was observed also during dust storm between two main fires. The study presents an analysis of wind speed and wind direction along the air masses movement, which caused the dust storm, and water content changes along main trajectories.
Keywords: forest fires, carbon monoxide, nitrogen dioxide, aerosol index, atmospheric air quality, trajectory.

Language of article: ukrainian

Full text (PDF)

REFERENCES

  1.  Balabukh V., Malytska L. Impact of climate change on natural fire danger in Ukraine. Idojaras. 2017. 121(4): 453–477.
  2. Fires statistics. State Emergency Service of Ukraine (in Ukrainian). https://undicz.dsns.gov.ua/ua/Statistika.html
  3. Air Quality Management in the United States. (National Research Council: Committee on Air Quality Management in the United States, Board on Environmental Studies and Toxicology, Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies). Washington DC: The National Academies Press, 2004. DOI: https://doi.org/10.17226/10728
  4. Putrenko V., Pashynska N., Nazarenko S. Mapping of air quality based on remote sensing data. The Journal of Cartography. 2016. (15): 89–99 (in Ukrainian).
  5. Savenets M., Dvoretska I., Nadtochii L. Current state of atmospheric air pollution in Ukraine based on Sentinel-5P satellite data. Visnyk of V.N. Karazin Kharkiv National University. Ser. Geology. Geography. Ecology. 2019. (51): 221–223 (in Ukrainian). DOI: https://doi.org/10.26565/2410-7360-2019-51-16
  6. Galytska E., Danylevsky V., Hommel R., Burrows J.P. Increased Aerosol Content in the Atmosphere over Ukraine During Summer 2010. Atmospheric Measurement Techniques. 2018. 11(4): 2101–2118. DOI: https://doi.org/10.5194/amt-11-2101-2018
  7. Galytska E., Danylevsky V., Snizhko S. Aerosols dynamics in the atmosphere over Eastern Europe by means of AERONET according to weather conditions during summer 2010. Ukrainian Hydrometeorological Journal. 2010. (17): 5–16 (in Ukrainian). DOI: https://doi.org/10.31481/uhmj.17.2016.01
  8. Giaiotti D., Oshurok D., Skrynyk O. The Chernobyl nuclear accident 137Cs cumulative depositions simulated by means of the CALMET/CALPUFF modelling system. Atmospheric Pollution Research. 2018. 9(3): 502–512. DOI: https://doi.org/10.1016/j.apr.2017.11.007
  9. Mahura A., Nuterman R., Nerobelov G., Sedeeva M., Smyshlyaev S., Savenets M., Pysarenko L., Krakovska S., Ivanov S., Michaelides S., Ruban I., Sassi A.S., Makkonen R., Baklanov A., Petaja T., Zilitinkevich S., Kulmala M. Integrated Multi-Scale Modelling for Meteorology-Chemistry-Aerosol Interactions. Report Series in Aerosol Science. 2019. 226: 425–430.
  10. Skrynyk O., Voloshchuk V., Budak I., Rubin S. Regional HYSPLIT simulation of atmospheric transport and deposition of the Chernobyl 137Cs releases. Atmospheric Pollution Research. 2019. 10(6): 1953–1963. DOI: https://doi.org/10.1016/j.apr.2019.09.001
  11.  Zheleznyak M., Talerko M., Bogorad V., Bulich Ya., Hirao S., Kireev S., Kovalets I., Kyrylenko Yu., Raskob W., Sinkevich R., Schichtel T., Tabachnyi L., Trybushnyi D. Forest Wildfire at Chernobyl Nuclear Power Plant in June, 2018: Lessons Learned from Coupling of Stationary and Mobile Monitoring with Predictive Modeling of Atmospheric Radioactivity During the Event and Follow-Up Intercomparison of the Modeling Tools. AGU Fall Meeting. 2019. GH11A-1032.
  12. Sentinel-5P Mission. https://sentinel.esa.int/web/sentinel/missions/sentinel-5p
  13. Fire Information for Resource Management System. https://firms.modaps.eosdis.nasa.gov
  14. HYSPLIT model. https://www.ready.noaa.gov/HYSPLIT.php
  15. Rolph G., Stein A., Stunder B. Real-time Environmental Applications and Display sYstem: READY. Environmental Modelling & Software. 2017. (95): 210–228. DOI: https://doi.org/10.1016/j.envsoft.2017.06.025
  16. Stein A.F., Draxler R.R, Rolph G.D., Stunder B.J.B., Cohen M.D., Ngan F. NOAA's HYSPLIT atmospheric transport and dispersion modeling system. Bull. Amer. Meteor. Soc. 2015. 96: 2059–2077. DOI: https://doi.org/10.1175/BAMS-D-14-00110.1
  17.  Atmospheric Radiosoundings Database. http://weather.uwyo.edu/upperair/sounding.html