Version 1
: Received: 22 November 2023 / Approved: 27 November 2023 / Online: 28 November 2023 (03:23:29 CET)
How to cite:
Egorkin, A.A.; Voskresenskaya, E.N.; Zhuravskiy, V.Y. Simulation of Pollutants Trajectory in the Black Sea Region Atmosphere with Different Spatial Resolution. Preprints2023, 2023111695. https://doi.org/10.20944/preprints202311.1695.v1
Egorkin, A.A.; Voskresenskaya, E.N.; Zhuravskiy, V.Y. Simulation of Pollutants Trajectory in the Black Sea Region Atmosphere with Different Spatial Resolution. Preprints 2023, 2023111695. https://doi.org/10.20944/preprints202311.1695.v1
Egorkin, A.A.; Voskresenskaya, E.N.; Zhuravskiy, V.Y. Simulation of Pollutants Trajectory in the Black Sea Region Atmosphere with Different Spatial Resolution. Preprints2023, 2023111695. https://doi.org/10.20944/preprints202311.1695.v1
APA Style
Egorkin, A.A., Voskresenskaya, E.N., & Zhuravskiy, V.Y. (2023). Simulation of Pollutants Trajectory in the Black Sea Region Atmosphere with Different Spatial Resolution. Preprints. https://doi.org/10.20944/preprints202311.1695.v1
Chicago/Turabian Style
Egorkin, A.A., Elena N. Voskresenskaya and Viktor Y. Zhuravskiy. 2023 "Simulation of Pollutants Trajectory in the Black Sea Region Atmosphere with Different Spatial Resolution" Preprints. https://doi.org/10.20944/preprints202311.1695.v1
Abstract
As the problem of air pollution becomes more urgent, the precise determination of the characteristics of air pollution and the associated mechanisms of transport of pollutants becomes an increasingly urgent task. The simulation results of the Copernicus Atmospheric Monitoring Service (CAMS) [18] were used as initial data sets. The area of the Crimean Peninsula (within coordinates 44.50 latitude, 33.50 longitude) in 23 - 26 January, 2019 was chosen for the study. That time concentrations of pollutants (aerosol particles with a diameter of 2.5 (PM2.5) and 10 micrometers (PM10)) steadily increased and reached the maximum value. Four kinds of meteorological data sets were used in the work. The first and second data sets were the global NCEP/NCAR and (ERA-5) re-analyses. The third and fourth meteorological data sets were obtained using the Weather tracking and Forecasting model (WRF) as domains on high-resolution grids: 9 km and 2 km. The analysis of meteorological data sets was carried out to analyze the nature of the air masses movement in the studied region. Using the HYSPLIT model simulation was carried out to determine area of the sources of negative impact. The emissions transfer from the supposed sources of negative impact on the Crimea region is analyzed. The sensitivity of simulation the inverse and direct trajectories of air masses transfer was studied based a set of simulation results. On the basis of HYSPLIT model the simulation was carried out separately using meteorological data sets having different spatial and temporal resolutions. In general, the simulation results allowed us to conclude that the HYSPLIT model in combination with high-resolution meteorological input data of the WRF model are good to identify the sources of possible negative effects on atmospheric air located at long distances from the study site.
Keywords
trajectories; reanalys data set; HYSPLIT model; WRF model
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
