Modeling of Toxic Substances in the Atmosphere – Risk Analysis and Emergency Forecast

  • A. Brandiyska
  • K. Ganev
  • D. Syrakov
  • M. Prodanova
  • N. Miloshev
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7116)


The present paper describes the activities and results achieved in the development of a modelling system for operational response to accidental releases of harmful gases in the atmosphere. The main envisaged functions of the system are:

  1. 1

    Perform highly accurate and reliable risk analysis and assessment for selected “hot spots”;

  2. 2

    Provide the national authorities and the international community with operational short-term local-to regional scale forecast of the propagation of harmful gases;

  3. 3

    Perform, in an off–line mode, a more detailed and comprehensive analysis of the possible longer-term impacts on the environment and human health.


The system is based on the following models: WRF, used as meteorological pre-processor; SMOKE - the emission pre-processor; CMAQ - the Chemical Transport Model (CTM) of the system.

For the needs of the emergency response preparedness mode the risk is defined as probability the national regulatory threshold values for toxic gases to be exceeded. Maps of the risk around potential sources of emergency toxic gas releases are constructed and demonstrated in the current paper.

Some examples of the system “operational mode” results are demonstrated as well.


Chemical Transport Model Breeze Circulation Biogenic Emission Innermost Domain Sparse Matrix Operator Kernel Emission 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Atanassov, E., Gurov, T., Karaivanova, A.: Computational Grid: structure and Applications. Journal Avtomatica i Informatica (in Bulgarian), 40–43 (September 2006) ISSN 0861-7562Google Scholar
  2. 2.
    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., Jang, C.: Description of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System. In: 10th Joint Conference on the Applications of Air Pollution Meteorology with the A&WMA, Phoenix, Arizona, January 11-16, pp. 264–268 (1998)Google Scholar
  3. 3.
    Byun, D., Ching, J.: Science Algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System. EPA Report 600/R-99/030, Washington DC (1999)Google Scholar
  4. 4.
    Sparse Matrix Operator Kernel Emission (SMOKE) Modeling System, University of Carolina, Carolina Environmental Programs, Research Triangle Park, North CarolinaGoogle Scholar
  5. 5.
    Foster, J., Kesselmann, C.: The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann (1998)Google Scholar
  6. 6.
    Ganev, K., Syrakov, D., Prodanova, M., Miloshev, N., Jordanov, G., Gadjev, G., Todorova, A.: Atmospheric composition modeling for the Balkan region. In: SEE-GRID-SCI USER FORUM 2009, Istanbul, 9-10, pp. 77–87 (December 2009) ISBN:978-975-403-510-0Google Scholar
  7. 7.
    Melas, D., Zerefos, C., Rapsomanikis, S., Tsangas, N., Alexandropoulou, A.: The war in Kosovo: Evidence of pollution transport in the Balkans during operation ’Allied Force’. Environmental Science and Pollution Research 7(2), 97–104 (2000)CrossRefGoogle Scholar
  8. 8.
    Rappenglük, B., Melas, D., Fabian, P.: Evidence of the impact of urban plumes on remote sites in the Eastern Mediterranean. Atmospheric Environment 37(13), 1853–1864 (2003)CrossRefGoogle Scholar
  9. 9.
    Symeonidis, P., Poupkou, A., Gkantou, A., Melas, D., Devrim Yay, O., Pouspourika, E., Balis, D.: Development of a computational system for estimating biogenic NMVOCs emissions based on GIS technology. Atmospheric Environment 42(8), 1777–1789 (2008)CrossRefGoogle Scholar
  10. 10.
    Shamarock, et al.: A description of the Advanced Research WRF Version 2 (2007),
  11. 11.
    Schwede, D., Pouliot, G., Pierce, T.: Changes to the Biogenic Emissions Invenory System Version 3 (BEIS3). In: Proc. of 4th Annual CMAS Models-3 Users’s Conference, September 26-28, Chapel Hill, NC (2005)Google Scholar
  12. 12.
    Tanaka, P.L., Allen, D.T., McDonald-Buller, E.C., Chang, S., Kimura, Y., Yarwood, G., Neece, J.D.: Development of a chlorine mechanism for use in the carbon bond IV chemistry model. Journal of Geophysical Research 108, 41–45 (2003)Google Scholar
  13. 13.
    Todorova, A., Ganev, K., Syrakov, D., Prodanova, M., Georgiev, G., Miloshev, N., Gadjhev, G.: Bulgarian emergency response system for release of hazardous pollutants — design and first tests. In: Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Paris, France, June 1-4, pp. 495–499 (2010) ISBN: 2-8681-5062-4Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • A. Brandiyska
    • 1
  • K. Ganev
    • 1
  • D. Syrakov
    • 2
  • M. Prodanova
    • 2
  • N. Miloshev
    • 1
  1. 1.National Institute of Geophysics, Geodesy and GeographyBulgarian Academy of SciencesSofiaBulgaria
  2. 2.National Institute of Meteorology and HydrologyBulgarian Academy of SciencesSofiaBulgaria

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