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Decision support system for forest fire protection in the Euro-Mediterranean region

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Abstract

This paper describes the development of a decision support system (DSS) for prevention planning and emergency management of forest fire events that incorporates weather data management, a geographical data viewer, a priori danger forecasting and fire propagation modeling, automatic fire detection, and optimal resource dispatching. Collection, input, storage, management, and analysis of the information rely on advanced and automated methodologies using remote sensing, GPS, digital mapping, and geographic information systems. The results included short-term dynamic fire danger indices developed for improved and realistic prevention and pre-suppression planning. An automatic fire detection technology based on infrared video was developed and successfully tested on site. Several models for understanding fire propagation on forest fires have been proposed for practical application. Additionally, a DSS was developed with the innovation of covering wildland fire hazard management entirely, providing a complete coverage of technical and administrative activities that support decision makers in real time. The DSS was tested for high fire seasons in two different sites in South Europe.

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References

  • Andrews PL (1986) BEHAVE: Fire behavior prediction and fuel modeling system–BURN Subsystem, Part 1. Gen. Tech. Rep. INT-194. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station

  • Bonazountas M, Kallidromitou D, Kassomenos P, Passas N (2007) A decision support system for managing forest fire casualties. J Environ Manage 84:412–418

    Article  PubMed  Google Scholar 

  • Butler BW, Finney M, Bradshaw L, Forthofer J, McHugh C, Stratton R, Jimenez D (2006) WindWizard: a new tool for fire management decision support In: Proceedings of the conference on fuels management–How to measure success, Portland, Oregon, USA. Andrews PL, Butler BW, (Comps.). RMRS-P-41, Ogden, UT: US Department of Agriculture, Forest Service, Rocky Mountain Research Station, pp 787–796

  • Caballero D (1998) FOMFIS: A computer-based system for forest fire prevention planning. In: Viegas DX (ed) Proceedings of the 3rd international conference on forest fire research, Luso-Coimbra, Portugal. ADAI, Coimbra, Portugal, pp 2643–2652

  • Caballero D (2006) Taxicab geometry: some problems and solutions for square grid-based fire spread simulation. In: Viegas DX (ed) Proceedings CD of the 5th international conference on forest fire research, Figueira da Foz, Portugal. Elsevier Publishers, Amsterdam, p 15

  • Caballero D, Viegas DX, Xanthopoulos G (2002) E-FIS: an electronic on-line decision support system for forest fires. In: Xanthopoulos G (ed) Proceedings of the international workshop on improving dispatching for forest fire control, Chania, Greece. Mediterranean Agronomic Institute of Chania, Greece, pp 121–131

  • Chen K, Blong R, Jacobson C (2003) Towards an integrated approach to natural hazards risk assessment using GIS: with reference to bushfires. J Environ Manage 31(4):546–560

    Article  Google Scholar 

  • Chuvieco E, Salas J, Carvacho L, Rodríguez-Silva F (1999) Integrated fire risk mapping. In: Chuvieco E (ed) Remote sensing of large wildfires in the European Mediterranean Basin. Springer, Berlin, pp 61–100

    Chapter  Google Scholar 

  • Conese C, Eftichidis G, Guarnieri F, Lockwood FC, Moreno JM, Vallejo R, Viegas DX, Lymberopoulos N (1999) The DELFI vocabulary of forest fire terms. CINAR S.A, Athens, Greece

    Google Scholar 

  • de Vries JS, Kemp RAW (1994) Results with a multi-spectral autonomous wildfire detection system. In: Viegas DX (ed) Proceedings of the 2nd international conference on forest fire research, Coimbra, Portugal, pp 779–791

  • Deeming JE, Robert EB, Jack DC (1977) The national fire-danger rating system–1978. Gen. Tech. Rep. INT-167. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station

  • den Breejen E, Breuers M, Cremer F, Kemp R, Roos M, Schutte K, de Vries JS (1998) Autonomous forest fire detection. In: Viegas DX (ed) Proceedings of the 3rd international conference on forest fire research, Luso-Coimbra, Portugal. ADAI, Coimbra, Portugal, pp 2003–2012

  • Environmental Systems Research Institute (ESRI) (2007) Available via ArcGIS home page http://www.esri.com/ Accessed Sept 2007

  • Finney MA (1998) FARSITE: fire area simulator–model development and evaluation. Res. Pap. RMRS-RP-4, Ogden, UT: US Department of Agriculture, Forest Service, Rocky Mountain Research Station

  • Galanis G, Louka P, Katsafados P, Pytharoulis I, Kallos G (2006) Applications of Kalman filters based on non-linear functions to numerical weather predictions. Ann Geophys 24(10):2451–2460

    Article  Google Scholar 

  • González JR, Pukkala T (2007) Characterization of forest fires in Catalonia (north-east Spain). Eur J Forest Res 126:421–429

    Article  Google Scholar 

  • Hoffmann AA, Schindler L, Goldammer JG (1999) Aspects of a fire information system for East Kalimantan, Indonesia. In: Proceedings of the 3rd international symposium on Asian tropical forest management. Samarinda, East-Kalimantan, Indonesia, pp 176–185

  • Kalabokidis KD (2004) Automated forest fire and flood hazard protection system. Disaster management: linking people and the environment. GeoInformatics Mag 7(2):14–17

    Google Scholar 

  • Kalabokidis K, Kallos G, Karavitis C, Caballero D, Tettelaar P, Llorens J, Vasilakos C (2005) Automated fire and flood hazard protection system. In: De la Riva J, Perez-Cabello F, Chuvieco E (eds) Proceedings of the 5th international workshop on remote sensing and GIS applications to forest fire management: fire effects assessment. Universidad de Zaragoza, Spain, pp 167–172

  • Kaloudis S, Tocatlidou A, Lorentzos NA, Sideridis AB, Karteris M (2005) Assessing wildfire destruction danger: a decision support system incorporating uncertainty. Ecol Model 181:25–38

    Article  Google Scholar 

  • Lee BS, Alexander ME, Hawkes BC, Lynham TJ, Stocks BJ, Englefield P (2002) Information systems in support of wildland fire management decision making in Canada. Comput Electron Agr 37:185–198

    Article  Google Scholar 

  • MobileNetControl Platform (MNC) (2007) Available at home page http://www.mnc.ax/ Accessed Sept 2007

  • Morehouse B, Christopherson G, Crimmins M, Orr B, Overpeck J, Swetman T, Yool S (2006) Modeling interactions among wildland fire, climate and society in the context of climatic variability and change in the southwest US. In: Ruth M, Donaghy K, Kirshen P (eds) Regional climate change and variability: impacts and responses. Edward Elgar Publishing, Northampton, pp 58–78

    Google Scholar 

  • Pyne SJ, Andrews PL, Laven RD (1996) Introduction to wildland fire, 2nd edn. Wiley, New York

    Google Scholar 

  • Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65:386–408

    Article  PubMed  CAS  Google Scholar 

  • Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. Res. Pap. INT-115. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station

  • Rumelhart DE, McClelland JL (1986) Parallel distributed processing: explorations in the microstructure of cognition. The MIT Press, USA

    Google Scholar 

  • Saaty T (1980) The analytic hierarchy process. McGraw-Hill, USA

    Google Scholar 

  • Sebastián-López A, Salvador-Civil R, Gonzalo-Jiménez J, San-Miguel-Ayanz J (2008) Integration of socio-economic and environmental variables for modelling long-term fire danger in Southern Europe. Eur J Forest Res 127:149–163

    Article  Google Scholar 

  • Taylor SW, Alexander ME (2006) Science, technology and human factors in fire danger rating: the Canadian experience. Int J Wildland Fire 15:121–135

    Article  Google Scholar 

  • Tettelaar P (2004) Personal communication. TNO Physics and Electronics Laboratory, Hague, Netherlands

    Google Scholar 

  • Unified Modeling Language UML (2007) Available at home page http://www.uml.org/ Accessed Sept 2007

  • Van Wagner CE (1987) Development and structure of the Canadian Forest Fire Weather Index System. Forestry Tech. Rep. 35. Canadian Forest Service, Ottawa

  • Vasconcelos MJP, Silva S, Tome M, Alvim M, Pereira JMC (2001) Spatial prediction of fire ignition probabilities: comparing logistic regression and neural networks. Photogramm Eng Rem S 67(1):73–81

    Google Scholar 

  • Vasilakos C, Kalabokidis K, Hatzopoulos J, Kallos G, Matsinos I (2007) Integrating new methods and tools in fire danger rating. Int J Wildland Fire 16(3):306–316

    Article  Google Scholar 

  • Vasilakos C, Kalabokidis K, Hatzopoulos J, Matsinos I (2009) Identifying wildland fire ignition factors through sensitivity analysis of a neural network. Nat Hazards 50(1):125–143

    Article  Google Scholar 

  • Vega-Garcia C, Lee B, Wooddard T (1996) Applying neural network technology to human-caused wildfire occurrence prediction. AI Applications 10(3):9–18

    Google Scholar 

  • Xanthopoulos G (2002) The DISPATCH program for the dispatching of Canadair CL-215 and fire trucks in Greece. In: Xanthopoulos G (ed) Proceedings of the international workshop on improving dispatching for forest fire control, Chania, Greece. Mediterranean Agronomic Institute of Chania, Greece, pp 133–141

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Acknowledgments

This research was funded by the European Union within the RTD project “Automated Fire and Flood Hazard Protection System/AUTO-HAZARD PRO” (EVG1-CT-2001-00057). The authors would like to thank the colleagues at their respective academic and research institutions for collaboration and the end-users of civil protection authorities in Greece and Spain for their cooperation with test and validation efforts of the system.

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Authors and Affiliations

  1. Department of Geography, University of the Aegean, 81100, Mytilene, Greece

    Kostas Kalabokidis, Olga Roussou & Christos Vasilakos

  2. NAGREF, Institute of Mediterranean Forest Ecosystems and Forest Products Technology, Terma Alkmanos, 11528, Athens, Greece

    Gavriil Xanthopoulos

  3. Climate, Fire and Natural Resources Consulting, 14 Jeanette Street, East Ryde, NSW, 2113, Australia

    Peter Moore

  4. TECNOMA S.A., Area of Forest Ecosystems, Isla del Hierro 7, San Sebastián de los Reyes, 28700, Madrid, Spain

    David Caballero

  5. Department of Physics, National & Kapodistrian University of Athens, 15784, Athens, Greece

    George Kallos

  6. Department of Informatics, University Carlos III of Madrid, Leganes, 28911, Madrid, Spain

    Juan Llorens

Authors
  1. Kostas Kalabokidis
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  2. Gavriil Xanthopoulos
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  3. Peter Moore
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  4. David Caballero
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  5. George Kallos
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  6. Juan Llorens
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  7. Olga Roussou
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  8. Christos Vasilakos
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Corresponding author

Correspondence to Kostas Kalabokidis.

Additional information

Communicated by W. Warkotsch.

In memoriam: Forestry Professor Nikolaos I. Stamou, Greece.

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Kalabokidis, K., Xanthopoulos, G., Moore, P. et al. Decision support system for forest fire protection in the Euro-Mediterranean region. Eur J Forest Res 131, 597–608 (2012). https://doi.org/10.1007/s10342-011-0534-0

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  • DOI: https://doi.org/10.1007/s10342-011-0534-0

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