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Gepsus: simulation-based decision making system for air pollution accidents

Author

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  • Stojanović Radovan

    (University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro)

  • Škraba Andrej

    (University of Maribor, Cybernetics & Decision Support Systems Laboratory, Faculty of Organizational Sciences, Kidričeva 55a, 4000 Kranj, Slovenia)

  • Berkowicz Simon

    (Hebrew University of Jerusalem, Arid Ecosystems Research Center, Edmond J. Safra Campus - Givat Ram, Jerusalem 91904, Israel)

  • Amicis Raffaele De

    (Fondazione GraphiTech, Via alla Cascata 56/C, 38123 Trento, Italy)

  • Elhanani Doron

    (EMESCO, 11, Ha-Avoda St. POB 142, Rosh Ha-Ayin, 48017, Israel)

  • Conti Giuseppe

    (Fondazione GraphiTech, Via alla Cascata 56/C, 38123 Trento, Italy)

  • Kofjač Davorin

    (University of Maribor, Cybernetics & Decision Support Systems Laboratory, Faculty of Organizational Sciences, Kidričeva 55a, 4000 Kranj, Slovenia)

  • Dragović Marko

    (1University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro)

  • Lekić Nedjeljko

    (University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro)

  • Nikolić Gojko

    (University of Montenegro, Faculty of Philosophy, Study Programme for Geography, Danilo Bojovic 3, 81400 Nikšić, Montenegro)

Abstract

We describe a GIS-based real-time system for emergency response and management of air pollution accidents in an urban area. The system architecture emphasises the integration of meteorological, chemical and GIS data, dispersion modeling, decision-making and geo-spatial visualization. The threat zones, unsafe areas and safe traffic routes are obtained using an improved Gaussian plume model with a decision-making module and then exported to the Google Earth browser via “kml” file format. Several simulation scenarios were conducted and verified for notable industrial sites in Montenegro using recorded meteorological data. The results demonstrate that emergency response authorities can use the proposed methodology and system as a cost effective and accurate support tool in case of industrial or deliberate air pollution incidents.

Suggested Citation

  • Stojanović Radovan & Škraba Andrej & Berkowicz Simon & Amicis Raffaele De & Elhanani Doron & Conti Giuseppe & Kofjač Davorin & Dragović Marko & Lekić Nedjeljko & Nikolić Gojko, 2012. "Gepsus: simulation-based decision making system for air pollution accidents," Organizacija, Sciendo, vol. 45(5), pages 200-210, October.
    • Handle: RePEc:vrs:organi:v:45:y:2012:i:5:p:200-210:n:2
    DOI: 10.2478/v10051-012-0021-5
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