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Process Analysis of Atmospheric Composition Fields in Urban Area (Sofia City)

  • Ivelina GeorgievaEmail author
  • Georgi Gadzhev
  • Kostadin Ganev
  • Nikolay Miloshev
Conference paper
  • 9 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11958)

Abstract

The air pollution pattern is formed as a result of interaction of different processes, so knowing the contribution of each one of the processes for different meteorological conditions and given emission spatial configuration and temporal profiles could be helpful for understanding the atmospheric composition and air pollutants behavior. 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. To analyze the contribution of different dynamic and chemical processes for the air pollution formation over Sofia the CMAQ Integrated Process Rate Analysis option was applied. The procedure allows the concentration change for each compound to be presented as a sum of the contribution of each one of the processes, which determine the air pollution concentration. A statistically robust ensemble of the atmospheric composition over Sofia, taking into account the two-way interactions of local to urban scale and tracking the main pathways and processes, which lead to different scale atmospheric composition formation should be constructed in order to understand the atmospheric composition climate and air pollutants behavior.

On the basis of 3D modeling tools an extensive data base was created and this data was used for different studies of the atmospheric composition, carried out with good resolution using up-to-date modeling tools and detailed and reliable input data. All the simulations were based on the US EPA (Environmental Protection Agency) Model–3 system for the 7 years period (2008 to 2014). The modeling system consists of 3 models, meteorological pre–processor, the emission pre–processor SMOKE and Chemical Transport Model (CTM) CMAQ.

Keywords

Air pollution modeling Dynamical and chemical processes Ensemble of numerical simulation Atmospheric composition Process analysis 

Notes

Acknowledgments

This work is supported by projects: 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; Program for career development of young scientists, BAS and Bulgarian National Science Fund (grant DN-04/2/13.12.2016).

Deep gratitude to the next organizations and institutes National Center for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR), The European Monitoring and Evaluation Programme (EMEP) and The Netherlands Organization for Applied Scientific Research (TNO) for providing free-of-charge data and software, the high-resolution European anthropogenic emission inventory and all others.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ivelina Georgieva
    • 1
    Email author
  • Georgi Gadzhev
    • 1
  • Kostadin Ganev
    • 1
  • Nikolay Miloshev
    • 1
  1. 1.National Institute of Geophysics, Geodesy and GeographyBulgarian Academy of SciencesSofiaBulgaria

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