Human and Ecological Risk Assessment: An International Journal
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Forest Fire Risk Analysis
Marc Bonazountasa; Despina Kallidromitoub; P. A. Kassomenosc; N. Passasd a National Technical University of Athens, Faculty of Civil Engineering, Department of Water Resources, Hydraulics and Maritime Engineering, Athens, Greece b EpsilonInternational SA, Marousi, Greece c University of Ioannina, Department of Physics, Laboratory of Meteorology, Ioannina, Greece d Technical University of Crete, Department of Environmental Engineering, Chania, Greece
To cite this Article Bonazountas, Marc , Kallidromitou, Despina , Kassomenos, P. A. and Passas, N.(2005) 'Forest Fire Risk
Analysis', Human and Ecological Risk Assessment: AnInternational Journal, 11: 3, 617 — 626 To link to this Article: DOI: 10.1080/10807030590949717 URL: http://dx.doi.org/10.1080/10807030590949717
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Human and Ecological Risk Assessment, 11: 617–626, 2005 Copyright C Taylor & Francis Inc. ISSN: 1080-7039 print / 1549-7680 online DOI: 10.1080/10807030590949717
Forest Fire RiskAnalysis
Marc Bonazountas,1 Despina Kallidromitou,2 P. A. Kassomenos,3 and N. Passas4 National Technical University of Athens, Faculty of Civil Engineering, Department of Water Resources, Hydraulics and Maritime Engineering, Athens, Greece; 2 Epsilon International SA, Marousi, Greece; 3 University of Ioannina, Department of Physics, Laboratory of Meteorology, Ioannina, Greece; 4 TechnicalUniversity of Crete, Department of Environmental Engineering, Chania, Greece ABSTRACT Southern Europe suffers from forest fires. The management of these disasters is of importance to both government authorities and the public. This article presents the results of a research project aimed at modeling forest fire events and producing fire risk maps. The mathematical model is embedded in an ArcViewGeographic Information System (GIS) platform. The interface is in Visual C++ 6.0. The thematic and individual risk maps generated are merged into an integrated risk map. The assessment platform (model, GIS, data, decision support) was applied to the area of northern Evia Island, central Greece, using five different scenarios. The platform provides a tool for use by authorities to estimate risks for forestfire management. The model was specifically adapted for the Olympic Games of 2004, Athens, Greece. Key Words: risk analysis, forest fire, risk map, Greece, Evia, GIS.
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INTRODUCTION The international community is increasingly aware of risks due to disasters in environmentally sensitive areas. This awareness creates a need...