Modeling of the Air-Pollution Emergency Situations Control and Geographical Information Processing for Rescue Decision Making Andrej Škraba 1 , Radovan Stojanović 2 , Simon Berkowicz 3 , Raffaele de Amicis 4 , Doron Elhanani 5 , Giuseppe Conti 4 , Davorin Kofjač 1 1 University of Maribor, Cybernetics & Decision Support Systems Laboratory, Faculty of Organizational Sciences, SI-4000 Kranj, Slovenia 2 University of Montenegro, Faculty of Electrical Engineering, Đorđa Vašingtona bb., 81000 Podgorica, Montenegro 3 Hebrew University of Jerusalem, Arid Ecosystems Research Center, Edmond J. Safra Campus - Givat Ram, Jerusalem 91904, Israel 4 Fondazione GraphiTech, Via alla Cascata 56/C, 38123 Trento, Italy 5 EMESCO, 11 Ha-Avoda St., POB 142, Rosh HaAyin, 48017, Israel 6 University of Montenegro, Faculty of Geography, Nikšić, Montenegro Abstract GEPSUS, decision support system for handling hazardous air pollutant releases was developed based on a Gaussian simulation model of air pollution dispersion using MATLAB. For the Gaussian model the following assumptions apply: a) the smokestack emission is constant and continuous, b) flat homogeneous terrain, and c) the wind speed is constant. It is assumed that in the main wind direction, x, advection dominates over diffusion and dispersion. A detailed outline of the system integration is provided, which includes aspects of hydro-meteorological data, eco-toxicological data, Geographical Information Systems (GIS), user input, and system output including a description of threat zones and evacuation plans using a geo-browser. The Gaussian air-pollution dispersion simulation model is linked to the GIS by generating the output in KML file format. Several simulation scenarios were considered using meteorological data sets of wind speed, wind direction and ambient temperature. The developed simulation model and decision support system is intended to facilitate rapid emergency response for both deliberate and accidental air pollution releases. System dynamics model is developed to address the crisis mitigation issues. Keywords: simulation model, air pollution, decision support system, emergency response 1 Introduction An emergency situation involving air pollution is time-critical because of the rapid changes in meteorological conditions and need to integrate such information in a decision-making response loop. In urban areas the population density compounds the potential magnitude of the consequences and complicates evacuation of both the injured and unaffected residents (Pontigia et al., 2010; Abbaspoura and Mansourib, 2005). In order to develop a decision support system for the management of emergency situations at a national level, several state agencies are usually involved, to provide proper data input to the system and then provide an adequate response. The goal of the described research is part of a project known as GEPSUS (GEPSUS, 2011; Geographical Information Processing for Environmental Pollution-Related Security within Urban Scale Environments) to develop an integrated system for environmental pollution-related disaster management based on a fusion of geographical information processing, computer modelling and simulation, and credible decision-making for