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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Investigation of the effects of interactions of intersecting oblique fire lines with and without wind in a combustion wind tunnel

Andrew L. Sullivan https://orcid.org/0000-0002-8038-8724 A D , William Swedosh B , Richard J. Hurley A , Jason J. Sharples C and James E. Hilton https://orcid.org/0000-0003-3676-0880 B
+ Author Affiliations
- Author Affiliations

A CSIRO, GPO Box 1700, Canberra, ACT 2601, Australia.

B CSIRO Data61, Private Bag 10, Clayton South, Vic. 3169, Australia.

C University of New South Wales Canberra, PO Box 7916, Canberra BC, ACT 2610, Australia.

D Corresponding author. Email: andrew.sullivan@csiro.au

International Journal of Wildland Fire 28(9) 704-719 https://doi.org/10.1071/WF18217
Submitted: 4 December 2018  Accepted: 20 June 2019   Published: 6 August 2019

Abstract

Quantification of the interaction of intersecting and non-intersecting fire perimeters over a range of shapes, sizes and orientations is essential to understanding the behaviour of high-intensity wildfires that have become discontiguous as a result of spot fires or effects of broken topography or fuels. One key configuration is that of the V-shaped fire where two individual lines of fire intersect at oblique angles. Previous work under calm conditions in pine needle litter and straw found the speed of propagation of the vertex of the intersection to increase non-linearly as the angle of intersection decreased. The present paper investigates this relation in dry eucalypt forest litter in both the absence and presence of wind (~1.0 m s−1) and found that the increase in vertex speed under calm conditions was no greater than would be expected due to the geometry of the configuration. Conversely, in the presence of wind, the increase in the vertex propagation speed was substantially greater than explained by the geometry alone. Although these results suggest that fire line interactions can influence the behaviour and spread of coalescing fire fronts, further research is required to both identify the precise mechanisms driving this behaviour and quantify the resultant effects.

Additional keywords: experiment, fire behaviour, fire spread, laboratory, Pyrotron, rate of spread, spot fire, wildfire.


References

Blanchi R, Lucas C, Leonard J, Finkele K (2010) Meteorological conditions and wildfire-related house loss in Australia. International Journal of Wildland Fire 19, 914–926.
Meteorological conditions and wildfire-related house loss in Australia.Crossref | GoogleScholarGoogle Scholar |

Booth TH (2013) Eucalypt plantations and climate change. Forest Ecology and Management 301, 28–34.
Eucalypt plantations and climate change.Crossref | GoogleScholarGoogle Scholar |

Bowman DMJS, Williamson GJ, Abatzoglou JT, Kolden CA, Cochrane MA, Smith AMS (2017) Human exposure and sensitivity to globally extreme wildfire events. Nature Ecology & Evolution 1, 0058
Human exposure and sensitivity to globally extreme wildfire events.Crossref | GoogleScholarGoogle Scholar |

Cleary PW, Thomas D, Bolger M, Hetherton L, Rucinski C, Watkins D (2015) Using Workspace to automate workflow processes for modelling and simulation in engineering. In ‘MODSIM2015, 21st International Congress on Modelling and Simulation’, Broadbeach, Queensland, Australia, December 2015 (Eds T Weber, MJ McPhee, RS Anderssen) pp. 669–675 (Modelling and Simulation Society of Australia and New Zealand).

Cruz MG, Sullivan AL, Gould JS, Sims NC, Bannister AJ, Hollis JJ, Hurley RJ (2012) Anatomy of a catastrophic wildfire: the Black Saturday Kilmore East fire in Victoria, Australia. Forest Ecology and Management 284, 269–285.
Anatomy of a catastrophic wildfire: the Black Saturday Kilmore East fire in Victoria, Australia.Crossref | GoogleScholarGoogle Scholar |

Doerr SH, Santín C (2016) Global trends in wildfire and its impacts: perceptions versus realities in a changing world. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 371, 20150345
Global trends in wildfire and its impacts: perceptions versus realities in a changing world.Crossref | GoogleScholarGoogle Scholar | 28080979PubMed |

Ellis PFM (2010) The effect of the aerodynamic behaviour of flakes of jarrah and karri bark on their potential as firebrands. Journal of the Royal Society of Western Australia 93, 21–27.

Finney MA, McAllister SS (2011) A review of fire interactions and mass fires. Journal of Combustion 2011, 548328
A review of fire interactions and mass fires.Crossref | GoogleScholarGoogle Scholar |

Hilton JE, Miller C, Sharples JJ, Sullivan AL (2016) Curvature effects in the dynamic propagation of wildfires. International Journal of Wildland Fire 25, 1238–1251.
Curvature effects in the dynamic propagation of wildfires.Crossref | GoogleScholarGoogle Scholar |

Hilton JE, Sullivan AL, Swedosh W, Sharples J, Thomas C (2018) Incorporating convective feedback in wildfire simulations using pyrogenic potential. Environmental Modelling & Software 107, 12–24.
Incorporating convective feedback in wildfire simulations using pyrogenic potential.Crossref | GoogleScholarGoogle Scholar |

Matthews S (2010) Effect of drying temperature on fuel moisture content measurements. International Journal of Wildland Fire 19, 800–802.
Effect of drying temperature on fuel moisture content measurements.Crossref | GoogleScholarGoogle Scholar |

McArthur AG (1967) Fire behaviour in eucalypt forests. Forestry and Timber Bureau Leaflet 107, Commonwealth Department of National Development. (Canberra, ACT, Australia).

Mulvaney JJ, Sullivan AL, Cary GJ, Bishop GR (2016) Repeatability of free-burning fire experiments using heterogeneous forest fuel beds in a combustion wind tunnel. International Journal of Wildland Fire 25, 445–455.
Repeatability of free-burning fire experiments using heterogeneous forest fuel beds in a combustion wind tunnel.Crossref | GoogleScholarGoogle Scholar |

Plucinski MP, Anderson WR (2008) Laboratory determination of factors influencing successful point ignition in the litter layer of shrubland vegetation. International Journal of Wildland Fire 17, 628–637.
Laboratory determination of factors influencing successful point ignition in the litter layer of shrubland vegetation.Crossref | GoogleScholarGoogle Scholar |

R Core Team (2016) R: a language and environment for statistical computing. (R Foundation for Statistical Computing: Vienna, Austria) Available at https://www.R-project.org/ [Verified 15 May 2019]

Randerson JT, Chen Y, van der Werf GR, Rogers BM, Morton DC (2012) Global burned area and biomass burning emissions from small fires. Journal of Geophysical Research. Biogeosciences 117, g04012
Global burned area and biomass burning emissions from small fires.Crossref | GoogleScholarGoogle Scholar |

Raposo JR, Cabiddu S, Viegas DX, Salis M, Sharples J (2015) Experimental analysis of fire spread across a two-dimensional ridge under wind conditions. International Journal of Wildland Fire 24, 1008–1022.
Experimental analysis of fire spread across a two-dimensional ridge under wind conditions.Crossref | GoogleScholarGoogle Scholar |

Raposo JR, Viegas DX, Xie X, Almeida M, Figueiredo AR, Porto L, Sharples J (2018) Analysis of the physical processes associated with junction fires at laboratory and field scales. International Journal of Wildland Fire 27, 52–68.
Analysis of the physical processes associated with junction fires at laboratory and field scales.Crossref | GoogleScholarGoogle Scholar |

Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service, Intermountain Forest and Range Experimental Station, Research Paper INT-115. (Odgen, UT, USA).

Sharples JJ, Towers IN, Wheeler G, Wheeler VM, McCoy JA (2013) Modelling fire line merging using plane curvature flow. In ‘MODSIM2013, 20th International Congress on Modelling and Simulation’, Adelaide, South Australia, Australia, December 2013, (Eds J Piantadosi, RS Anderssen, J Boland) pp. 256–262. (Modelling and Simulation Society of Australia and New Zealand).

Sharples JJ, Cary GJ, Fox-Hughes P, Mooney S, Evans JP, Fletcher MS, Fromm M, Grierson PF, McRae R, Baker P (2016) Natural hazards in Australia: extreme bushfire. Climatic Change 139, 85–99.
Natural hazards in Australia: extreme bushfire.Crossref | GoogleScholarGoogle Scholar |

Sullivan AL, Matthews S (2013) Determining landscape fine fuel moisture content of the Kilmore East ‘Black Saturday’ wildfire using spatially extended point-based models. Environmental Modelling & Software 40, 98–108.
Determining landscape fine fuel moisture content of the Kilmore East ‘Black Saturday’ wildfire using spatially extended point-based models.Crossref | GoogleScholarGoogle Scholar |

Sullivan AL, McCaw WL, Cruz MG, Matthews S, Ellis PF (2012) Fuel, fire weather and fire behaviour in Australian ecosystems. In ‘Flammable Australia: fire regimes, biodiversity and ecosystems in a changing world’, 2nd edn. (Eds RA Bradstock, AM Gill, RD Williams) Ch. 3, pp. 51–77. (CSIRO Publishing: Melbourne, Vic., Australia).

Sullivan AL, Knight IK, Hurley R, Webber C (2013) A contractionless, low-turbulence wind tunnel for the study of free-burning fires. Experimental Thermal and Fluid Science 44, 264–274.
A contractionless, low-turbulence wind tunnel for the study of free-burning fires.Crossref | GoogleScholarGoogle Scholar |

Thomas CM, Sharples JJ, Evans JP (2017) Modelling the dynamic behaviour of junction fires with a coupled atmosphere–fire model. International Journal of Wildland Fire 26, 331–344.
Modelling the dynamic behaviour of junction fires with a coupled atmosphere–fire model.Crossref | GoogleScholarGoogle Scholar |

Tolhurst KG, Cheney NP (1999) ‘Synopsis of the knowledge used in prescribed burning in Victoria.’ (Department of Natural Resources and Environment: Melbourne, Vic., Australia).

Viegas D, Raposo J, Figueiredo A (2013) Preliminary analysis of slope and fuel bed effect on jump behavior in forest fires. Procedia Engineering 62, 1032–1039.
Preliminary analysis of slope and fuel bed effect on jump behavior in forest fires.Crossref | GoogleScholarGoogle Scholar |

Viegas DX, Raposo JR, Davim DA, Rossa CG (2012) Study of the jump fire produced by the interaction of two oblique fire fronts. Part 1. Analytical model and validation with no-slope laboratory experiments. International Journal of Wildland Fire 21, 843–856.
Study of the jump fire produced by the interaction of two oblique fire fronts. Part 1. Analytical model and validation with no-slope laboratory experiments.Crossref | GoogleScholarGoogle Scholar |