Wildfire Occurrence: Integrated Model for Risk Analysis and Operative Suppression Aspects Management

Abstract

Generally forest fires are related to human activities and need an effective fire prevention and suppression organization, based on a deep knowledge of the territory, fire behaviour and suppression system resources network. To organise monitoring, prevention and fire fighting operations, the knowledge of the risk level for different areas is important. To evaluate the probability that a forest fire occurs and to organise prevention and management of fire fighting activities, both simple and easy-to-use risk and operational difficulty indices were implemented. CNR-IBIMET and DISTAF Dept., on commitment of Tuscany Region, developed a multistep process for the evaluation of the risk, that can be used to assess land planning and to organise seasonal fire fighting resources. This model is called Final Risk Index (FRI); it is the result of the combination of the following two indices, which are initially developed separately. The concerned indices are the Global Risk Index (GRI), and Operational Difficulty Index in Fire Fighting (ODIF). The fire risk index processes different parameters to generate two hazards: static and dynamic, merged to obtain the Global Risk Index (GRI). It is very helpful to estimate the probability of forest fire occurrence, but it does not provide information on forest fire extinction difficulties. The operational difficulty index in fire fighting (ODIF) resumes all the factors affecting fire fighting activity by air and by ground and suggests the extinction efficiency of forest fires in a given area. Thus FRI improves aspects of the fire prevention planning, focused to the needs of a public operative structure. The objective was modelling the links between the main components in ignition and fire fighting actions to produce an easy to use tool to face the emergences, also foreseeing forest fires regime changes in the coming decades.

Share and Cite:

L. Bonora, C. Claudio Conese, E. Marchi, E. Tesi and N. Montorselli, "Wildfire Occurrence: Integrated Model for Risk Analysis and Operative Suppression Aspects Management," American Journal of Plant Sciences, Vol. 4 No. 3A, 2013, pp. 705-710. doi: 10.4236/ajps.2013.43A089.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] X. Viegas, G. Bovio, A. Ferreira, A. Nosenzo and B. Sol, “Comparative Study of Various Methods of Fire Danger Evaluation in Southern Europe,” International Journal of Wildland Fire, Vol. 9, No. 4, 2000, pp. 235-246. doi:10.1071/WF00015
[2] Tuscany Region, “Piano Operative Antincendi Boschivi,” Produzioni Editoriali Regione Toscana, November 2004.
[3] E. Chuvieco, F. J. Salas, L. Carvacho and F. Rodriguez-Silva, “Integrated Fire Risk Mapping,” In: E. Chuvieco, Ed., Remote Sensing of Large Wildfires, Springer-verlag, New York, 1999, pp. 66-100. doi:10.1007/978-3-642-60164-4_5
[4] C. Conese, L. Bonora, M. Romani and E. Checcacci, “Forest Fire Hazard Model Definition for Local Land User (Tuscany Region),” Atti del IV Congrès International Environnement et Identité en Mediter-ranée, Corte, 19-25 Juillet 2004.
[5] J. San-Miguel-Ayanz, P. M. Barbosa, G. Schmuck and G. Libertà, “The European Forest Fire Information System (EFFIS),” Joint International Work-shop of EARSeL SIG on Forest Fires and the GOFC/GOLD-Fire Program: Innovative Concepts and Methods in Fire Danger Estimation, Ghent, 5-7 June 2003.
[6] G. F. Jenks and F. C. Caspall, “Error on Choropletic Maps: Definition, Measurement, Reduction,” Annals of the Association of American Geographers, Vol. 61, No. 2, 1971, pp. 217-244. doi:10.1111/j.1467-8306.1971.tb00779.x
[7] J., San-Miguel-Ayanz, “Methodologies for the Evaluation of Forest Fire Risk: From Long-Term (Static) to Dynamic Indices,” In: T. Anfodillo and V. Carraro, Eds., Forest Fires: Ecology and Control, Univesity degli Studi di Padova, 2002, pp. 117-132.
[8] S. Trajkovic and S. Kolakovic, “Evaluation of Reference Evapotranspiration Equations under Humid Conditions Water Resources Management” Springer, New York, 24 February 2009.
[9] R. E. Yoder, O. Odhiambo and W. C. Wright, “Evaluation of Methods for Estimating Daily Reference Crop Evapotranspiration at a Site in the Humid Southeast United States,” Applied Engineering in Agriculture, Vol. 21, No. 2, 2005, pp. 197-202.
[10] G. Bovio, “Comportamento Degli Incendi Boschivi Estinguibili con Attacco Diretto,” Monti e Boschi, Vol. 44, No. 4, 1993, pp. 19-24.
[11] G. Hippoliti, “Note Pratiche per la Realizzazione Della Viabilità Forestale,” Compagnia delle Foreste, Arezzo, 2003.
[12] L. W. Carter and L. G. Hill, “Handbook of Variables for Environmental Impact Assessment,” Ann Arbor Science Publisher, 1981.
[13] L. Borselli, “Vantaggi Delle Tecniche Matematiche Fuzzy Nelle Scienze Ambientali Della Terra e del Suolo,” CNRISE, Firenze, 2002.
[14] E. Marchi, E. Tesi, N. B. Montorselli and F. Neri, “Helicopter Activity in Forest Fire-Fighting: A Data Analysis Proposal,” Proceedings of the 5th International Conference on Forest Fire Research, Figuera da Foz Portugal, 27-30 November 2006.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.