Development and application of a system for dynamic wildfire risk assessment in Italy

Environmental Modelling and Software

Volumn 23, Issue 6, 2008, Pages 690-702

  Fiorucci, Paolo ^a   Gaetani, Francesco ^a   Minciardi, Riccardo ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Civil protection; Decision support; Forecasting; Fuel moisture model; Risk assessment; Wildfires

Indexed keywords

CALIBRATION; COMPUTER ARCHITECTURE; DECISION SUPPORT SYSTEMS; FIRES; FORECASTING; MATHEMATICAL MODELS; PARAMETER ESTIMATION; RISK ASSESSMENT;

CIVIL PROTECTION; FUEL MOISTURE MODELS;

DYNAMICAL SYSTEMS;

CALIBRATION; MODELING; RISK ASSESSMENT; SPATIAL DISTRIBUTION; TOPOGRAPHIC EFFECT; VEGETATION COVER; WEATHER FORECASTING; WILDFIRE;

EURASIA; EUROPE; ITALY; SOUTHERN EUROPE;

EID: 39149131721     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2007.05.008     Document Type: Article

References (43)

1. Albini F.A. A model for fire spread in wildland fuels by radiation. Combustion Science and Technology 42 (1985) 229-258
2. Alexander M.E., Stocks B.J., and Lawson B.D. The Canadian Forest Fire Danger Rating System. Initial Attack (1996), Spring pp. 5-8
3. Anderson H.E. Aids to Determining Fuel Models for Estimating Fire Behavior. Forest Service General Technical Report INT-122 (1982), USDA, Intermountain Forest and Range Experiment Station, Ogden, UT 22 pp.
4. Bovio G., Quaglino A., and Nosenzo A. Individuazione di un indice di previsione per il pericolo di incendi boschivi. Monti e Boschi 35 4 (1984) 39-44
5. Byram G.M. Combustion of forest fuels. In: Davis K.P. (Ed). Forest Fire: Control and Use (1959), McGraw-Hill, NY 113-126
6. Byram G.M. An Analysis of the Drying Process in Forest Fuel Material. Unpublished Report (1963), USDA Forest Service, Fire Science Laboratory, Rocky Mountain Research Station, Missoula, USA
7. Carrega, P., 1990. Climatology and index of forest fire risk in Mediterranean France. In: Proceedings from the International Conference on Forest Fire Research, Coimbra, Portugal, B.05, pp. 1-11.
8. Catchpole E.A., Catchpole W.R., Viney N.R., McCaw W.L., and Marsden-Smedley J.B. Estimating fuel response time and predicting fuel moisture contents from field data. International Journal of Wildland Fire 10 (2001) 215-222
9. Cheng C.-T., and Chau K.W. Flood control management system for reservoirs. Environmental Modelling & Software 19 12 (2004) 1141-1150
10. CORINE Land Cover - Technical Guide. Publication EUR 12585 of the European Commission, EG, DG Environment, Nuclear Safety, and Civil Protection (1994), Office for Official Publications of the European Communities, Luxembourg
11. Corpo Forestale dello Stato, 1985. Inventario Forestale Nazionale, Rome, Italy.
12. Corpo Forestale dello Stato, 2003. XII Divisione, Ufficio statistiche. Foglio Notizie Antincendio Boschivo 2003, Rome, Italy.
13. Deeming J.E., Burgan R.E., and Cohen J.D. The National Fire-danger Rating System - 1978. General Technical Report INT-39 (1977), USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT 63 pp.
14. Doms G., and Schättler U. The Non-hydrostatic Limited-area Model LM (Lokal-modell) of DWD (1999), Deutscher Wetterdienst, Offenbach, Germany
15. Drouet, J.C., 1974. Theorie de la propagation des feux de forets. Master thesis, Universitè d'Aix-Marseille, France.
16. Forestry Canada Fire Danger Group. Development and Structure of the Canadian Forest Fire Behavior Prediction System. Information Report ST-X-3 (1992), Forestry CA, Ottawa, ON
17. Frandsen W.H. Fire spread through porous fuels from the conservation of energy. Combustion and Flame 16 (1971) 9-16
18. Gonçalves, Z.J., Lourenço, L., 1990. Meteorological index of forest fire risk in the Portuguese mainland territory. In: Proceedings of the International Conference on Forest Fire Research, Coimbra, Portugal, B.07, pp. 1-14.
19. Green D.G., Tridgell A., and Gill A.M. Interactive simulation of bushfires in heterogeneous fuels. Mathematical and Computer Modelling 13 12 (1990) 57-66
20. Instituto para la COnservacion de la Naturaleza, 1993. Manual de operaciones contra incendios forestales. Madrid, Spain, 5.1, 65 pp.
21. Lee B.S., Alexander M.E., Hawkes B.C., Lynham T.J., Stocks B.J., and Englefield P. Information systems in support of wildland fire management decision making in Canada. Computers and Electronics in Agriculture 37 (2002) 185-198
22. Marsden-Smedley J.B., and Catchpole W.R. Fire modelling in Tasmanian buttongrass moorlands II. Fire behavior. International Journal of Wildland Fire 5 (1995) 215-228
23. Mc Arthur, A.G., 1966. Weather and Grassland Fire Behavior. Australian Forest and Timber Bureau Leaflet n° 100, Canberra, Australia.
24. Minciardi R., Sacile R., Taramasso A.C., Trasforini E., and Traverso S. Modeling the vulnerability of complex territorial systems: an application to hydrological risk. Environmental Modelling & Software 21 7 (2006) 949-960
25. Nelson R.M. A method for describing equilibrium moisture contents of forest fuels. Canadian Journal of Forest Research 14 (1984) 597-600
26. Noble I.R., Bary G.A.V., and Gill A.M. McArthur's fire-danger meters expressed as equations. Australian Journal of Ecology 5 (1980) 201-203
27. Nunez-Regueira L., Rodriguez J., Proupin J., and Mourino B. Design of forest biomass energetic maps as a tool to fight forest wildfires. Thermochimica Acta 328 (1999) 111-120
28. Orieux A. Apport de la météorologie dans la lutte contre le feu. Bulletin Technique D'information 168 (1972) 479-484
29. Palmieri, S., Inghilesi, R., Siani, A.M., 1993. Un indice meteorologico di rischio per incendi boschivi. In: Proceedings from Seminar on Fighting Forest Fires, Thessalonica, Greece.
30. Rothermel R.C. A Mathematical Model for Predicting Fire Spread in Wildland Fuels. Forest Service Research Paper INT-114 (1972), USDA, Intermountain Forest and Range Experiment Station, Ogden, UT 40 pp.
31. Rothermel R.C. How to Predict the Spread and Intensity of Forest and Range Fires. Forest Service General Technical Report INT-143 (1983), USDA, Intermountain Forest and Range Experiment Station, Ogden, UT 161 pp.
32. Servizio Geologico Nazionale, Row, L.W., 1994. 30 Arc-second Digital Elevation Model for Italy. In: Row and Hastings, 1994. (In: GLOBE Task Team and others, 1999).
33. Simard A.J. The Moisture Contents of Forest Fuels I. A Review of the Basic Concepts. Information Report FF-X-14 (1968), Canadian Department of Forest and Rural Development. Forest Fire Research Institute, Ottawa, Ontario
34. Sol, B., 1990. Estimation du risque meteorologique d'incendies de forêts dans le Sud-est de la France. In: Revue Forestière Française, Nancy, n° spécial, pp. 263-271.
35. Stocks B.J., Lawson B.D., Alexander M.E., Van Wagner C.E., McAlpine R.S., Lynham T.J., and Dube D.E. The Canadian forest fire danger rating system: an overview. Forestry Chronicle 65 (1989) 450-457
36. Van Nest, T.A., Alexander, M.E., 1999. Systems for rating fire danger and predicting fire behavior used in Canada. Paper Presented at the National Interagency Fire Behavior Workshop Phoenix, AZ, USA.
37. Van Wagner C.E. Equilibrium Moisture Contents of Some Fine Forest Fuels in Eastern Canada. Canadian Forestry Service Information Report PS-X-36 (1972), Petawawa Forest Experimental Station, Chalk River, Ontario
38. Van Wagner C.E. Conditions for the start and spread of crown fire. Canadian Journal of Forest Research 7 (1977) 23-34
39. Van Wagner C.E., and Pickett T.L. Equations and FORTRAN Program for the Canadian Forest Fire Weather Index System. Canadian Forest Service, Forestry Technical Report (1985), CFS, Ottawa, ON 33 pp.
40. Van Wagner C.E. Development and Structure of the Canadian Forest Fire Weather Index System. Forestry Technical Report (1987), CFS, Ottawa, ON 35 pp.
41. Viegas X.D., Bovio G., Ferreira A., Nosenzo A., and Sol B. Comparative study of various methods of fire danger evaluation in southern Europe. International Journal of Wildland Fire 9 4 (1999) 235-246
42. Viney N.R. A review of fine fuel moisture modelling. International Journal of Wildland Fire 1 (1991) 215-234
43. Zeng, H., Talkkari, A., Peltola, H., Kellomaki, S.A. GIS-based decision support system for risk assessment of wind damage in forest management. Environmental Modelling & Software, corrected proof, available online 6 October 2006, in press.