Estimating the trends of remote pollution of the atmosphere when planning spatial development of Russia

The calculations of the atmospheric pollution index introduced earlier by the authors, which characterizes the features of the dynamics of long-range pollution of the economic regions of the Russian Federation, in 1980-2050 taking into account climate change, have been performed. The calculation results show general trends towards an increase in the meridional (southern) influx of pollutants into the regions of Russia in the considered period. The estimates obtained are important for proposals for ensuring the environmental safety of the regions in the strategic planning of the spatial development of the Russian Federation

Keywords: pollution of the atmosphere, economic region, long-range transport of impurities, pollution indices, climate change

References

  1. The spatial development strategy of the Russian Federation for the period until 2025 2019 (Moscow: Gov. of Russian Federation) (in Russian)
  2. On the state and environmental protection of the Russian Federation in 2017 2018 (Moscow: Ministry of nature of Russia, NPP Kadastr), 888 p (in Russian)
  3. Makosko A A and Matesheva A V 2014 Health of the Russian population: the impact of the environment in a changing climate ed A I Grigoriev (Moscow: Nauka) pp 251-267 (in Russian)
  4. Makosko A A and Matesheva A V 2006 On the long-term prognosis of the risks of diseases of the population due to chemical pollution of the atmosphere Russian Chem. J. L 5 pp 48-54 (in Russian)
  5. Matesheva A 2017 On compensation of damage to public health in the cities of the Arctic zone of the Russian Federation due to air pollution Arctic: Ecology and Economy 3 pp 111-117. DOI 10.25283/2223-4594-2017-3-111-117. (in Russian)
  6. Makosko A A and Matesheva A V 2017 Evaluations of the frequency pollution trends of the atmosphere of the regions of the Russian Arctic in the 21st century Arctic: Ecology and Economy 4 pp 59-71. DOI 10.25283/2223-4594-2017-4-59-71. (in Russian)
  7. Makosko A A and Matesheva A V 2017 The methodology of indexing the dynamics of air pollution to assess environmental safety in strategic planning of regional development Innovation 10, pp 76-80 (in Russian)
  8. Marchuk G I 1982 Mathematical modeling in the environmental problem (Moscow: Nauka) 320 p (in Russian)
  9. Aloyan A E 2002 Dynamics and kinetics of gas impurities and aerosols in the atmosphere (Moscow: IVM RAN) 201 p (in Russian)
  10. Katz A L 1960 Seasonal changes in general atmospheric circulation and long-term forecasts (Leningrad: GIMIZ) 270 p (in Russian)
  11. All-Russian Classifier of Economic Regions ОК 024-95 1995 ed of 2018 (Moscow: State standard of Russia) (in Russian)
  12. IPCC, 2014: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 151 pp.
  13. Saha S et al 2010 NCEP Climate Forecast System Reanalysis (CFSR) Selected Hourly Time-Series Products. January 1979 to December 2010 (Research Data Archive at the National Center for Atmospheric Research: Computational and Information Systems Lab.) Available at: https://doi.org/10.5065/ D6513W89
  14. NCEP FNL Operational Model Global Tropospheric Analyses continuing from July 1999 (Research Data Archive at the National Center for Atmospheric Research: Computational and Information Systems Lab.) Available at: https://doi.org/10.5065/D6M043C6
  15. Volodin E and Diansky N 2013 INMCM4 model output prepared for CMIP5 RCP8.5. served by ESGF (World Data Center for Climate (WDCC) at DKRZ) Available at: https://doi.org/10.1594/WDCC/CMIP5.INC4r8

Authors