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ANALYSIS OF DYNAMICAL AND CHEMICAL PROCESSES WHICH FORM ATHMOSPHERIC COMPOSITION OVER BULGARIA
Abstract
The atmospheric composition research was based on extensive computer simulations carried out with good resolution using up-to-date modelling tools and detailed and reliable input data. Extensive numerical simulations of the atmospheric composition fields in Bulgaria have been performed using the US EPA Model-3 system used as a modelling tool for 3D simulations. The extensive data base that was created from the simulations was used for different studies of the atmospheric composition. The air pollution pattern is formed as a result of interaction of different processes, so knowing the contribution of each one of these processes for different meteorological conditions and given emission spatial configuration and temporal profiles could be helpful for understanding the atmospheric composition and air pollutants behaviour. Analysis of the contribution of these different processes (chemical and dynamical) which form the atmospheric composition in chosen region will be demonstrated in the present paper.
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Georgieva, I., Study of the air quality index climate for Bulgaria, Proc. of the international conference on numerical methods for scientific computations and advanced applications, May 19-22, 2014, Bansko, p. 39-42, 2014.
Georgieva I., Gadzhev G., Ganev K., Prodanova M., Syrakov D., Miloshev N., Numerical study of the air quality in the city of Sofia – some preliminary results, International Journal of Environment and pollution, Vol. 57, Nos. 3/4, 162-174, 2015.
Georgieva I and Ivanov V., Air Quality Index Evaluations for Sofia city Proc. of the 17th IEEE International Conference on Smart Technologies IEEE EUROCON 2017, 6 - 8 July 2017, pp. 920-925, 2017.
Syrakov, D., Etropolska, I., Prodanova, M., Slavov, K., Ganev, K., Miloshev, N., Ljubenov T., Downscaling of Bulgarian Chemical Weather Forecast from Bulgaria region to Sofia city, American Institute of Physics, Conf. Proc. 1561, p. 120-132, 2013.
Gadzhev, G. Jordanov, G. Ganev, K. Prodanova, M. Syrakov, D. Miloshev N. Atmospheric Composition Studies for the Balkan Region, Lecture Notes in Computer Sciences, LNCS 6046, Springer-Verlag Berlin Heidelberg, p.150-157, 2011.
Gadzhev, G., Ganev, K., Miloshev, N., Syrakov, D., Prodanova, M., Numerical Study of the Atmospheric Composition in Bulgaria, Computers and Mathematics with Applications 65, pp. 402-422, 2013a.
Gadzhev G., Ganev K., Prodanova M., Syrakov D., Miloshev N., Some statistical evaluations of numerically obtained atmospheric composition fields in Bulgaria, Proceedings of the 15th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, 2013b.
Gadzhev G., Ganev K., Miloshev N., Syrakov D., and Prodanova M., Analysis of the Processes Which Form the Air Pollution Pattern over Bulgaria, in I. Lirkov et al. (Eds.): LSSC 2013, LNCS 8353, pp. 390–396, © Springer-Verlag Berlin Heidelberg 2014.
Gadzhev, G., Ganev, K., Miloshev, N., Numerical study of the atmospheric composition climate of Bulgaria-Validation of the computer simulation results, International Journal of Environment and Pollution, 57 (3-4), pp. 189-201, 2015a.
Gadzhev, G., Ganev, K., Miloshev, N., Syrakov, D., Prodanova, M., HPC simulations of the fine particulate matter climate of Bulgaria, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8962, pp. 178-186, 2015b.
Shamarock, W.C. et al. (2007) A Description of the Advanced Research WRF Version 2, 2007. http://www.dtic.mil/dtic/tr/fulltext/u2/a487419.pdf
CEP, Sparse Matrix Operator Kernel Emission (SMOKE) Modeling System, University of Carolina, Carolina Environmental Programs, Research Triangle Park, North Carolina, 2003.
Byun, D., Young J., Gipson G., Godowitch J., Binkowski F.S., Roselle S., Benjey B., Pleim J., Ching J., Novak J., Coats C., Odman T., Hanna A., Alapaty K., Mathur R., McHenry J., Shankar U., Fine S., Xiu A., and Jang C., Description of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, 10th Joint Conference on the Applications of Air Pollution Meteorology with the A&WMA, 11-16 January 1998, Phoenix,Arizona, 264-268,1998. http://www.epa.gov/asmdnerl/models3/doc/science/science.html.
Byun, D. and Ching, J., Science Algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System. EPA Report 600/R-99/030, Washington, D.C., EPA/600/R-99/030 (NTIS PB2000-100561), 1999. https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NERL&dirEntryId=63 400
Vestreng V., Emission data reported to UNECE/EMEP: Evaluation of the spatial distribution of emissions. Meteorological Synthesizing Centre - West, The Norwegian Meteorological Institute, Oslo, Norway, Research Note 56, EMEP/MSC-W Note 1, 2001.
Vestreng V., Breivik K., Adams M., Wagner A., Goodwin J., Rozovskaya O., Pacyna J.M., Inventory Review 2005 (Emission Data reported to LRTAP Convention and NEC Directive), Technical Report MSC-W 1/2005, EMEP, 2005.
Schwede, D., Pouliot G., and Pierce T., Changes to the Biogenic Emissions Invenory System Version 3 (BEIS3), Proc. of 4th Annual CMAS Models-3 Users's Conference, September 26-28, 2005, Chapel Hill, NC, 2005.
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