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Journal

2012 | 45 | 5 | 200-210

Article title

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

Title variants

Languages of publication

EN

Abstracts

EN
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.

Publisher

Journal

Year

Volume

45

Issue

5

Pages

200-210

Physical description

Dates

published
2012-10-01
received
accepted
online
2012-10-31

Contributors

  • University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro
  • University of Maribor, Cybernetics & Decision Support Systems Laboratory, Faculty of Organizational Sciences, Kidričeva 55a, 4000 Kranj, Slovenia
  • Hebrew University of Jerusalem, Arid Ecosystems Research Center, Edmond J. Safra Campus - Givat Ram, Jerusalem 91904, Israel
  • Fondazione GraphiTech, Via alla Cascata 56/C, 38123 Trento, Italy
  • EMESCO, 11, Ha-Avoda St. POB 142, Rosh Ha-Ayin, 48017, Israel
  • Fondazione GraphiTech, Via alla Cascata 56/C, 38123 Trento, Italy
  • University of Maribor, Cybernetics & Decision Support Systems Laboratory, Faculty of Organizational Sciences, Kidričeva 55a, 4000 Kranj, Slovenia
  • 1University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro
  • University of Montenegro, Faculty of Electrical Engineering, George Washington st. bb., 81000 Podgorica, Montenegro
  • University of Montenegro, Faculty of Philosophy, Study Programme for Geography, Danilo Bojovic 3, 81400 Nikšić, Montenegro

References

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  • Baumann-Stanzer, K. & Stenzel, S. (2011). Uncertainties in modeling hazardous gas releases for emergency response. Meteorologische Zeitschrift, 20(1), 19-27, http://dx.doi.org/10.1127%2F0941-2948%2F2011%2F0506[WoS]
  • Beychok, M.R. (2005). Fundamentals of Stack Gas Dispersion (4th Edition ed.). ISBN 0-9644588-0-2.
  • Briggs, G.A. (1965). A plume rise model compared with observations. Journal of the Air Pollution Control Association, 15, 433-438, http://dx.doi.org/10.1080%2F00022470.1965.10468404
  • Chitumalla, K.P. & Harris, D., Thuraisingham, B., & Khan, L. (2008). Emergency response applications dynamic plume modeling and real-time routing. IEEE Internet Computing, 12 (1), 38-44, http://dx.doi.org/10.1109%2FMIC.2008.11[WoS]
  • Cormen, T. H., Leiserson, C., E., Rivest, R., L. & Stein, C. (2001). Introduction to Algorithms. Second Edition. MIT Press
  • De Amicis, R., Stojanovic, R. & Conti, G. (2009). GeoSpatial Visual Analytics: Geographical Information Processing and Visual Analytics for Environmental Security. Springer. NATO Science for Peace and Security Series C: Environmental Security
  • Kurashiki T., Zako M. & Fumita M. (2005). A practical estimation method of safety and reliability for chemical plants. Proc. 9th International Conference on Structural Safety and Reliability, Rome, Italy, June 20-23, pp. 703-708.
  • OpenGL (2012). Retrieved January 12, 2012, from http://www.opengeospatial.org/standards/kml
  • Pontiggia, M., Derudi, M., Alba, M., Scaioni, M. & Rota, R. (2010). Hazardous gas releases in urban areas: Assessment of consequences through CFD modeling. Journal of Hazardous Materials, 176(1-3), 589-596, http://dx.doi.org/10.1016%2Fj.jhazmat.2009.11.070[WoS]
  • Škraba, A., Kljajić, M. & Leskovar, R. (2003). Group exploration of SD models - Is there a place for a feedback loop in the decision process? System Dynamics Review, 19(3), 243-263, http://dx.doi.org/10.1002/sdr.274[Crossref]
  • Tiwary, A. & Colls, J. (2009). Air Pollution, Measurement, Modelling and Mitigation. Third Edition. Taylor & Francis.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_v10051-012-0021-5
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