A.A. Egorkin1,2,3, A.P. Kulikova1
1Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28
2FGAOU VO “Sevastopol State University”, RF, Sevastopol, Universitetskaya St., 33
3FGKVOU VPO “Black Sea Higher Naval Order of the Red Star School
named after P.S. Nakhimov”, RF, Sevastopol, Dybenko St., 1a
DOI: 10.33075/2220-5861-2024-2-21-28
UDC 504.3
EDN: https://elibrary.ru/ctdvit
The work is devoted to the development of an algorithm for the application of models of various spatial scales to assess the negative impact on atmospheric air. At the beginning of the study, the choice of models for conducting a computational experiment is justified. The following describes the set of data required for modeling. Solid particles with a diameter of 10 microns were selected as the type of pollutants, as the most frequently used in research on this topic. The analysis of stationary pollutant propagation fields generated using the mesoscale model (GRAMM) in combination with the Lagrangian model (GRAL) for four synoptic situations (the average month of each season in 2023) was carried out. The impact of meteorological conditions, terrain, buildings (structures) was assessed. It has been confirmed that wind speed and atmospheric stratification play a leading role in the spread of pollutants. It is determined that the totality of the studied factors has a complex effect on the dispersion of pollutants and this fact must be taken into account when assessing the effects of pollutants.
Keywords: mesoscale models, dispersion models, atmosphere, meteorology, climatology.
REFERENCES
- W.H. Organizations, Global urban ambient air pollution database. Available at: https:www.who.int/phe/health_topics/outdoorair/databases/cities/en/
- Prikaz Ministerstva prirodnyh resursov № 273 ot 6 Iyunya 2017 g. (Order of the Ministry of Natural Resources No. 273 of June 6, 2017). Available at: https://minjust.consultant.ru/files/36322
- Berchet A., Zink K., Oettl D., Brunner J., Emmenegger L., and Brunner D. Evaluation of high-resolution GRAMM–GRAL (v15.12/v14.8) NOx simulations over the city of Zürich, Switzerland. Geoscientific Model Development, 2017, Vol. 10, pp. 3441–3459.
- Oettl D. and Veratti G. A comparative study of mesoscale flow-field modelling in an Eastern Alpine region using WRF and GRAMM-SCI. Atmospheric Research, 2021, Vol. 249, 105288 p.
- Ling H., Lung S.-C.C., and Uhrner U. Micro-scale particle simulation and traffic-related particle exposure assessment in an Asian residential community. Environmental Pollution, 2020, Vol. 266, 115046 p.
- Graz Lagrangian Model. Available at: https://gral.tugraz.at/
- Shuttle Radar Topography Mission. Available at: https://www2.jpl.nasa.gov/srtm/
- ESRI ASCII Raster Format. Available at: http://resources.esri.com/help/9.3/arcgisengine/java/GP_ToolRef/spatial_analyst_tools/esri_ascii_raster_format.htm