Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE (Open Access)

CFD modelling of WUI fire behaviour in historical fire cases according to different fuel management scenarios

Anne Ganteaume A * , Bruno Guillaume B , Bertrand Girardin B and Fabien Guerra A
+ Author Affiliations
- Author Affiliations

A Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), UMR RECOVER Aix-Marseille University, Aix-en-Provence, France.

B EFECTIS, Bordeaux, France.

* Correspondence to: anne.ganteaume@inrae.fr

International Journal of Wildland Fire 32(3) 363-379 https://doi.org/10.1071/WF22162
Submitted: 13 July 2022  Accepted: 6 January 2023   Published: 17 February 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Background: In most wildland–urban interface (WUI) fires, damage to buildings results from poor surrounding vegetation management. No simulation had been conducted yet on historical WUI fires with Computational Fluid Dynamics modelling.

Aims: It was interesting to check the feasibility of this modelling in simulating past fire cases for different scenarios of vegetation management and fire propagation.

Methods: We studied three cases of WUI dwellings surrounded by gardens (subject to French regulations on fuel reduction) adjacent to forest affected by a past fire. The 3D fire propagation was assessed using the Fire Dynamic Simulator model (FDS) and taking into account accurate fire environment (fine vegetation distribution, terrain, etc.).

Key results: Results showed that, in the current model state, brush-clearing mitigated fire intensity and propagation and damage to ornamental vegetation. However, it sometimes highlighted that this measure could be strengthened when the effects of topography and wind were combined.

Conclusions: FDS modelling at the WUI scale using accurate vegetation distribution proved to be functionally satisfactory, exhibiting realistic fire behaviour.

Implications: Once validated, this modelling will ultimately help to assess when fuel reduction is efficient in fire mitigation and to pinpoint possible limitations.

Keywords: CFD modelling, Fire Dynamic Simulator model (FDS), fire prevention, fire risk, mandatory brush-clearing, ornamental vegetation, post-fire damage analysis, WUI fire behaviour.


References

Blanchi R, Leonard J (2005) Investigation of bushfire attack mechanisms resulting in house loss in the ACT bushfire 2003. (Bushfire Cooperative Research Centre (CRC) Report: Australia)

Bufacchi P, Krieger GC, Mell W, Alvarado E, Santos JC, Carvalho JA (2016) Numerical simulation of surface forest fire in Brazilian Amazon. Fire Safety Journal 79, 44–56.
Numerical simulation of surface forest fire in Brazilian Amazon.Crossref | GoogleScholarGoogle Scholar |

Caton SE, Hakes RSP, Gorham DJ, Zhou A, Gollner MJ (2017) Review of pathways for building fire spread in the wildland urban interface part i: exposure conditions. Fire Technology 53, 429–473.
Review of pathways for building fire spread in the wildland urban interface part i: exposure conditions.Crossref | GoogleScholarGoogle Scholar |

Code forestier (2022) Section 3: Débroussaillement (Articles L131-10 à L131-16) - Légifrance (legifrance.gouv.fr). [In French] Available at https://legifrance.gouv.fr/codes/id/LEGISCTA000025248647/ [24 August 2022]

Cohen J (2000) Preventing disaster: Home ignitability in the wildland-urban interface. Journal of Forestry 98, 15–21.
Preventing disaster: Home ignitability in the wildland-urban interface.Crossref | GoogleScholarGoogle Scholar |

Cohen J (2008) The wildland-urban interface fire problem: A consequence of the fire exclusion paradigm. Forest History Today Fall, 20–26.

Cohen JD (1995) Structure ignition assessment model (SIAM). In ‘Proceedings Biswell Symposium: Fire Issues and Solutions in Urban Interface and Wildland Ecosystems’, 15–17 February 1994, Walnut Creek, CA. General Technical Report PSW 158, pp. 85–92. (USDA Forest Service)

Cohen JD (2004) Relating flame radiation to home ignition using modeling and experimental crown fires. Canadian Journal of Forest Research 34, 1616–1626.
Relating flame radiation to home ignition using modeling and experimental crown fires.Crossref | GoogleScholarGoogle Scholar |

Cohen JD, Butler BW (1998) Modeling potential structure ignitions from flame radiation exposure with implications for wildland/urban interface fire management. In ‘Proceedings of the 13th Fire and Forest Meteorology Conference’, pp. 81–86. (International Association of Wildland Fire) Available at https://www.fs.usda.gov/research/treesearch/4687

Cohen JD, Wilson P (1995) Current results from structure ignition assessment model (SIAM) research. In ‘Proceedings of the Fire Management in the Wildland/Urban Interface: Sharing solutions Symposium’, 2–5 October 1994, Kananaskis, AB. (Ed. C Tymstra) pp. 120–132. (Partners in Protection: Edmonton, AB)

De Gennaro M, Billaud Y, Pizzo Y, Garivait S, Loraud J-C, El Hajj M, Porterie B (2017) Real-time wildland fire spread modeling using tabulated flame properties. Fire Safety Journal 91, 872–881.
Real-time wildland fire spread modeling using tabulated flame properties.Crossref | GoogleScholarGoogle Scholar |

Dupuy J-L, Morvan D (2005) Numerical study of a crown fire spreading toward a fuel break using a multiphase physical model. International Journal of Wildland Fire 14, 141–151.
Numerical study of a crown fire spreading toward a fuel break using a multiphase physical model.Crossref | GoogleScholarGoogle Scholar |

Dupuy J-L, Linn RR, Konovalov V, Pimont F, Vega JA, Jiménez E (2011) Exploring three-dimensional coupled fire–atmosphere interactions downwind of wind-driven surface fires and their influence on backfires using the HIGRAD-FIRETEC model. International Journal of Wildland Fire 20, 734–750.
Exploring three-dimensional coupled fire–atmosphere interactions downwind of wind-driven surface fires and their influence on backfires using the HIGRAD-FIRETEC model.Crossref | GoogleScholarGoogle Scholar |

El Houssami M, Thomas JC, Lamorlette A, Morvan D, Chaos M, Hadden R, Simeoni A (2016) Experimental and numerical studies characterizing the burning dynamics of wildland fuels. Combustion and Flame 168, 113–126.
Experimental and numerical studies characterizing the burning dynamics of wildland fuels.Crossref | GoogleScholarGoogle Scholar |

Fernandez F, Guillaume B, Porterie B, Ganteaume A, Guerra F (2018) Modelling fire spread and damage in wildland-urban interfaces. In ‘VIII International Conference on Forest Fire Research’, 12–16 November 2018, Coimbra, Portugal. (Ed. DX Viegas) pp. 818–825. (Univ Coimbra)

Finney MA, Seli RC, McHugh CW, Ager AA, Bahro B, Agee JK (2007) Simulation of long-term landscape-level fuel treatment effects on large wildfires. International Journal of Wildland Fire 16, 712–727.
Simulation of long-term landscape-level fuel treatment effects on large wildfires.Crossref | GoogleScholarGoogle Scholar |

Fox DM, Martin N, Carrega P, Andrieu J, Adnès C, Emsellem K, Ganga O, Moebius F, Tortorollo N, Fox EA (2015) Increases in fire risk due to warmer summer temperatures and wildland urban interface changes do not necessarily lead to more fires. Applied Geography 56, 1–12.
Increases in fire risk due to warmer summer temperatures and wildland urban interface changes do not necessarily lead to more fires.Crossref | GoogleScholarGoogle Scholar |

Ganteaume A (2018) Does plant flammability differ between leaf and litter bed scale? Role of fuel characteristics and consequences for flammability assessment. International Journal of Wildland Fire 27, 342–352.
Does plant flammability differ between leaf and litter bed scale? Role of fuel characteristics and consequences for flammability assessment.Crossref | GoogleScholarGoogle Scholar |

Ganteaume A (2019) Ornamental Vegetation. In ‘Encyclopedia of wildfires and wildland–urban interface (WUI) Fires’. (Ed. S Manzello) pp. 816–823 (Springer: Cham)
| Crossref |

Ganteaume A, Guijarro M, Jappiot M, Hernando C, Lampin-Maillet C, Pérez-Gorostiaga P, Vega JA (2011) Laboratory characterization of firebrands involved in spot fires. Annals of Forest Science 68, 531–541.
Laboratory characterization of firebrands involved in spot fires.Crossref | GoogleScholarGoogle Scholar |

Ganteaume A, Jappiot M, Lampin-Maillet C (2013a) Assessing the flammability of surface fuels beneath ornamental vegetation in wildland–urban interfaces in Provence (south-eastern France). International Journal of Wildland Fire 22, 333–342.
Assessing the flammability of surface fuels beneath ornamental vegetation in wildland–urban interfaces in Provence (south-eastern France).Crossref | GoogleScholarGoogle Scholar |

Ganteaume A, Jappiot M, Lampin C, Guijarro M, Hernando C (2013b) Flammability of some ornamental species in wildland–urban interfaces in southeastern France: Laboratory assessment at particle level. Environmental Management 52, 467–480.
Flammability of some ornamental species in wildland–urban interfaces in southeastern France: Laboratory assessment at particle level.Crossref | GoogleScholarGoogle Scholar |

Ganteaume A, Barbero R, Jappiot M, Maillé E (2021) Understanding future changes to fires in southern Europe and their impacts on the wildland–urban interface. Journal of Safety Science and Resilience 2, 20–29.
Understanding future changes to fires in southern Europe and their impacts on the wildland–urban interface.Crossref | GoogleScholarGoogle Scholar |

Ghaderi M, Ghodrat M, Sharples JJ (2021) LES simulation of wind-driven wildfire interaction with idealized structures in the wildland–urban interface. Atmosphere 12, 21
LES simulation of wind-driven wildfire interaction with idealized structures in the wildland–urban interface.Crossref | GoogleScholarGoogle Scholar |

Grishin A (1997) ‘Mathematical modeling of forest fires and new methods of fighting them.’ (Tomsk State University: Tomsk, Russia)

Hakes RSP, Caton SE, Gorham DJ, Gollner MJ (2017) A review of pathways for building fire spread in the wildland–urban interface Part II: response of components and systems and mitigation strategies in the United States. Fire Technology 53, 475–515.
A review of pathways for building fire spread in the wildland–urban interface Part II: response of components and systems and mitigation strategies in the United States.Crossref | GoogleScholarGoogle Scholar |

Instruction techniques sur les obligations légales de débroussaillement (2019) Légifrance - Droit national en vigueur - Circulaires et instructions - Obligations légales de débroussaillement (legifrance.gouv.fr). [In French] Available at https://www.legifrance.gouv.fr/download/pdf/circ?id=44405 [24 August 2022]

Jiang W, Wang F, Fang L, Zheng X, Qiao X, Li Z, Meng Q (2021) Modelling of wildland–urban interface fire spread with the heterogeneous cellular automata model. Environmental Modelling & Software 135, 104895
Modelling of wildland–urban interface fire spread with the heterogeneous cellular automata model.Crossref | GoogleScholarGoogle Scholar |

Jones GM, Gutiérrez RJ, Tempel DJ, Whitmore SA, Berigan WJ, Peery MZ (2016) Megafires: an emerging threat to old-forest species. Frontiers in Ecology and the Environment 14, 300–306.
Megafires: an emerging threat to old-forest species.Crossref | GoogleScholarGoogle Scholar |

Linn R, Winterkamp J, Colman JJ, Edminster C, Bailey JD (2005) Modeling interactions between fire and atmosphere in discrete element fuel beds. International Journal of Wildland Fire 14, 37–48.
Modeling interactions between fire and atmosphere in discrete element fuel beds.Crossref | GoogleScholarGoogle Scholar |

Linn RR, Cunningham P (2005) Numerical simulations of grass fires using a coupled atmosphere–fire model: basic fire behavior and dependence on wind speed. Journal of Geophysical Research: Atmospheres 110, D13107
Numerical simulations of grass fires using a coupled atmosphere–fire model: basic fire behavior and dependence on wind speed.Crossref | GoogleScholarGoogle Scholar |

Maditinos Z, Vassiliadis C (2011) Mega fires: can they be managed effectively? Disaster Prevention and Management 20, 41–52.
Mega fires: can they be managed effectively?Crossref | GoogleScholarGoogle Scholar |

Manzello SL, Suzuki S, Gollner MJ, Fernandez-Pello AC (2020) Role of firebrand combustion in large outdoor fire spread. Progress in Energy and Combustion Science 76, 100801
Role of firebrand combustion in large outdoor fire spread.Crossref | GoogleScholarGoogle Scholar |

Maranghides A, Mell W (2011) A case study of a community affected by the Witch and Guejito wildland fires. Fire Technology 47, 379–420.
A case study of a community affected by the Witch and Guejito wildland fires.Crossref | GoogleScholarGoogle Scholar |

McGrattan K, Hostikka S, McDermott R, Floyd J, Weinschenk C, Overholt K (2013) Fire Dynamics Simulator user’s guide. Technical Report NIST Special Publication 1019–6. (National Institute of Standards and Technology: Gaithersburg, MD, USA)

Mell W, Jenkins MA, Gould J, Cheney P (2007) A physics-based approach to modelling grassland fires. International Journal of Wildland fire 16, 1–22.
A physics-based approach to modelling grassland fires.Crossref | GoogleScholarGoogle Scholar |

Mell W, Maranghides A, McDermott R, Manzello SL (2009) Numerical simulation and experiments of burning Douglas fir trees. Combustion and Flame 156, 2023–2041.
Numerical simulation and experiments of burning Douglas fir trees.Crossref | GoogleScholarGoogle Scholar |

Mell WE, Manzello SL, Maranghides A, Butry D, Rehm RG (2010) The wildland–urban interface fire problem – current approaches and research needs. International Journal of Wildland Fire 19, 238–251.
The wildland–urban interface fire problem – current approaches and research needs.Crossref | GoogleScholarGoogle Scholar |

Morandini F, Silvani X, Rossi L, Santoni P-A, Simeoni A, Balbi JH, Rossi JL, Marcelli T (2006) Fire spread experiment across Mediterranean shrub: influence of wind on flame front properties. Fire Safety Journal 41, 229–235.
Fire spread experiment across Mediterranean shrub: influence of wind on flame front properties.Crossref | GoogleScholarGoogle Scholar |

Morandini F, Santoni PA, Tramoni JB, Mell WE (2019) Experimental investigation of flammability and numerical study of combustion of shrub of rockrose under severe drought conditions. Fire Safety Journal 108, 102836
Experimental investigation of flammability and numerical study of combustion of shrub of rockrose under severe drought conditions.Crossref | GoogleScholarGoogle Scholar |

Morvan D, Dupuy JL (2001) Modeling of fire spread through a forest fuel bed using a multiphase formulation. Combustion and Flame 127, 1981–1994.
Modeling of fire spread through a forest fuel bed using a multiphase formulation.Crossref | GoogleScholarGoogle Scholar |

Morvan D, Dupuy JL (2004) Modeling the propagation of a wildfire through a Mediterranean shrub using a multiphase formulation. Combustion and Flame 138, 199–210.
Modeling the propagation of a wildfire through a Mediterranean shrub using a multiphase formulation.Crossref | GoogleScholarGoogle Scholar |

Morvan D, Méradji S, Accary G (2009) Physical modelling of fire spread in grasslands. Fire Safety Journal 44, 50–61.
Physical modelling of fire spread in grasslands.Crossref | GoogleScholarGoogle Scholar |

Novozhilov V, Moghtaderi B, Fletcher DF, Kent JH (1996) Computational fluid dynamics modelling of wood combustion. Fire Safety Journal 27, 69–84.
Computational fluid dynamics modelling of wood combustion.Crossref | GoogleScholarGoogle Scholar |

Nowicki B (2002) ‘The community protection zone: defending houses and communities from the threat of forest fire’. 8 pp. (Center for Biological Diversity: Tucson, AZ, USA) Available at https://www.biologicaldiversity.org/publications/papers/wui1.pdf

Parsons RA (2007) Spatial variability in forest fuels: simulation modeling and effects on fire behavior. PhD Thesis, University of Montana–Missoula, College of Forestry and Conservation, MT, USA. 255 pp.

Parsons RA, Mell WE, McCauley P (2011) Linking 3D spatial models of fuels and fire: effects of spatial heterogeneity on fire behavior. Ecological Modelling 222, 679–691.
Linking 3D spatial models of fuels and fire: effects of spatial heterogeneity on fire behavior.Crossref | GoogleScholarGoogle Scholar |

Perez-Ramirez Y, Mell WE, Santoni PA, Tramoni J-B, Bosseur F (2017) Examination of WFDS in modeling spreading fires in a furniture calorimeter. Fire Technology 53, 1795–1832.
Examination of WFDS in modeling spreading fires in a furniture calorimeter.Crossref | GoogleScholarGoogle Scholar |

Pimont F, Linn RR, Dupuy J-L, Morvan D (2006) Effects of vegetation description parameters on forest fire behavior with FIRETEC. Forest Ecology and Management 234 S, S120
Effects of vegetation description parameters on forest fire behavior with FIRETEC.Crossref | GoogleScholarGoogle Scholar |

Pimont F, Dupuy J-L, Linn RR, Dupont S (2009) Validation of FIRETEC wind-flows over a canopy and a fuel-break. International Journal of Wildland Fire 18, 775–790.
Validation of FIRETEC wind-flows over a canopy and a fuel-break.Crossref | GoogleScholarGoogle Scholar |

Pimont F, Dupuy JL, Linn RR, Dupont S (2011) Impacts of tree canopy structure on wind flows and fire propagation simulated with FIRETEC. Annals of Forest Science 68, 523–530.
Impacts of tree canopy structure on wind flows and fire propagation simulated with FIRETEC.Crossref | GoogleScholarGoogle Scholar |

Pimont F, Dupuy J-L, Linn RR (2014) Chapter 3: Fire management. In ‘Advances in forest fire research’. (Ed. DX Viegas) pp. 749–758. (Coimbra University Press: Coimbra)

Plourde F, Doan-Kim S, Dumas J-C, Malet J-C (1997) A new model of wildland fire simulation. Fire Safety Journal 29, 283–299.
A new model of wildland fire simulation.Crossref | GoogleScholarGoogle Scholar |

Pugnet L, Chong D, Duff T, Tolhurst (2013) Wildland–urban interface (WUI) fire modelling using PHOENIX Rapidfire: A case study in Cavaillon, France. In ‘MODSIM2013, 20th International Congress on Modelling and Simulation’, December 2013. (Eds J Piantadosi, R Anderssen, J Boland) pp. 228–234. (Modelling and Simulation Society of Australia and New Zealand)

Rehm RG, Evans DD (2013) Physics-based modeling of wildland-urban interface fires. In ‘Remote Sensing and Modeling Applications to Wildland Fires’. (Eds JJ Qu, WT Sommers, R Yang, AR Riebau) pp. 227–236. (Springer: Heidelberg, Berlin)

Santoni P-A, Simeoni A, Rossi J-L, Bosseur F, Morandini F, Silvani X, Balbi J-H, Cancellieri D, Rossi L (2006) Instrumentation of wildland fire: characterisation of a fire spreading through a Mediterranean shrub. Fire Safety Journal 41, 171–184.
Instrumentation of wildland fire: characterisation of a fire spreading through a Mediterranean shrub.Crossref | GoogleScholarGoogle Scholar |

Silvani X, Morandini F (2009) Fire spread experiments in the field: temperature and heat fluxes measurements. Fire Safety Journal 44, 279–285.
Fire spread experiments in the field: temperature and heat fluxes measurements.Crossref | GoogleScholarGoogle Scholar |

Sullivan A (2009) Wildland surface fire spread modelling, 1990–2007. 1: Physical and quasi-physical models. International Journal of Wildland Fire 18, 349–368.
Wildland surface fire spread modelling, 1990–2007. 1: Physical and quasi-physical models.Crossref | GoogleScholarGoogle Scholar |

Syphard AD, Keeley JE, Massada AB, Brennan TJ, Radeloff VC (2012) Housing arrangement and location determine the likelihood of housing loss due to wildfire. PLoS One 7, e33954
Housing arrangement and location determine the likelihood of housing loss due to wildfire.Crossref | GoogleScholarGoogle Scholar |

Syphard AD, Bar Massada A, Butsic V, Keeley JE (2013) Land use planning and wildfire: development policies influence future probability of housing loss. PLoS One 8, e71708
Land use planning and wildfire: development policies influence future probability of housing loss.Crossref | GoogleScholarGoogle Scholar |

Syphard AD, Brennan TJ, Keeley JE (2017) The importance of building construction materials relative to other factors affecting structure survival during wildfire. International Journal of Disaster Risk Reduction 21, 140–147.
The importance of building construction materials relative to other factors affecting structure survival during wildfire.Crossref | GoogleScholarGoogle Scholar |

Syphard AD, Rustigian-Romsos H, Mann M, Conlisk E, Moritz MA, Ackerly D (2019) The relative influence of climate and housing development on current and projected future fire patterns and structure loss across three California landscapes. Global Environmental Change 56, 41–55.
The relative influence of climate and housing development on current and projected future fire patterns and structure loss across three California landscapes.Crossref | GoogleScholarGoogle Scholar |

Terrei L, Lamorlette A, Ganteaume A (2019) Modelling the fire propagation from the fuel bed to the lower canopy of ornamental species used in wildland–urban interfaces. International Journal of Wildland Fire 28, 113–116.
Modelling the fire propagation from the fuel bed to the lower canopy of ornamental species used in wildland–urban interfaces.Crossref | GoogleScholarGoogle Scholar |

Thomas JC, Mueller EV, Gallagher MR, Clark KL, Skowronski N, Simeoni A, Hadden RM (2021) Coupled assessment of fire behavior and firebrand dynamics. Frontiers in Mechanical Engineering 7, 650580
Coupled assessment of fire behavior and firebrand dynamics.Crossref | GoogleScholarGoogle Scholar |

Vanella M, McGrattan K, McDermott R, Forney G, Mell W, Gissi E, Fiorucci P (2021) A multi-fidelity framework for wildland fire behavior simulations over complex terrain. Atmosphere 12, 273
A multi-fidelity framework for wildland fire behavior simulations over complex terrain.Crossref | GoogleScholarGoogle Scholar |

Xanthopoulos G, Caballero D, Galante M, Alexandrian D, Rigolot E, Marzano R (2006) Forest fuel management in Europe. In ‘Fuels Management-How to Measure Success: Conference Proceedings’, 28–30 March 2006, Portland, OR. (Eds PL Andrews, BW Butler comps.) Proceedings RMRS-P-41. (USDA Forest Service, Rocky Mountain Research Station: Fort Collins, CO)