Abstract
The air quality has a key impact on the quality of life and human health. The atmospheric composition fields are formed as a result of complex interaction of processes with different temporal and spatial scales from global to regional to a chain of local scales. The earth surface heterogeneities, including the complex terrain, have a very significant impact on the atmospheric dynamics, hence on the formation of air pollution pattern. The incredible diversity of dynamic processes, the complex chemical transformations of the compounds and complex emission configuration together lead to the formation of a complex vertical structure of the atmospheric composition. The detailed analysis of this vertical structure with its temporal/spatial variability jointly with the atmospheric dynamics characteristics can enrich significantly the knowledge about the processes and mechanisms, which form air pollution, including near earth surface. The present paper presents some results of a study, which aims at performing reliable, comprehensive and detailed analysis of the atmospheric composition fields 3D structure and its connection with the processes, which lead to their formation.
The numerical simulations of the vertical structure of atmospheric composition fields over Bulgaria have been performed using the US EPA Model–3 system as a modelling tool for 3D simulations and the system nesting capabilities were applied for downscaling the simulations from 81 km to 9 km grid resolution over Bulgaria. The national emission inventory was used as an emission input for Bulgaria, while outside the country the emissions are from the TNO high resolution inventory.
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Acknowledgments
This work has been carried out in the framework of the National Science Program “Environmental Protection and Reduction of Risks of Adverse Events and Natural Disasters”, approved by the Resolution of the Council of Ministers 577/17.08.2018 and supported by the Ministry of Education and Science (MES) of Bulgaria (Agreement DO–230/06–12–2018).
The studies are funded by the Bulgarian National Science Fund (DN–04/2 13.12.2016) Program for career development of young scientists, BAS.
Deep gratitude to the organizations and institutes (TNO, NCEP–NCAR, ECA&D, Unidata, MPI–M and all others), which provide free of charge software and data. Without their innovative data services and tools this study would not be possible.
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Gadzhev, G., Ganev, K., Mukhtarov, P. (2020). Statistical Moments of the Vertical Distribution of Air Pollution over Bulgaria. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2019. Lecture Notes in Computer Science(), vol 11958. Springer, Cham. https://doi.org/10.1007/978-3-030-41032-2_24
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