GEPSUS: Simulation-Based DecisionMaking System for Air Pollution Accidents

Authors

  • Radovan Stojanović University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro
  • Andrej Škraba University of Maribor, Cybernetics and Decision Support Systems Laboratory, Faculty of Organizational Sciences, Kidričeva 55a, 4000 Kranj
  • Simon Berkowicz Hebrew University of Jerusalem, Arid Ecosystems Research Center, Edmond J. Safra Campus - Givat Ram, Jerusalem 91904
  • Raffaele de Amicis Fondazione GraphiTech, Via alla Cascata 56/C, 38123 Trento, Italy
  • Doron Elhanani EMESCO, 11, Ha-Avoda St. POB 142, Rosh Ha-Ayin, 48017
  • Giuseppe Conti Fondazione GraphiTech, Via alla Cascata 56/C, 38123 Trento
  • Davorin Kofjač University of Maribor, Cybernetics and Decision Support Systems Laboratory, Faculty of Organizational Sciences
  • Marko Dragović University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro
  • Nedjeljko Lekić University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro
  • Gojko Nikolić 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.

Downloads

Published

2012-10-01

Issue

Vol.45, No 5 (2012)

Section

Research Papers