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

Stojanović Radovan (), Škraba Andrej (), Berkowicz Simon (), Amicis Raffaele De (), Elhanani Doron (), Conti Giuseppe (), Kofjač Davorin (), Dragović Marko (), Lekić Nedjeljko () and Nikolić Gojko ()
Additional contact information
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

Organizacija, 2012, vol. 45, issue 5, 200-210

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.

Keywords: hazardous gas releases; air pollution simulation; emergency management; GIS (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/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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