The effect of ignition protocol on grassfire development
Duncan Sutherland A B D , Jason J. Sharples A B and Khalid A. M. Moinuddin B C
+ Author Affiliations
- Author Affiliations
A School of Science, University of New South Wales, Canberra, PO Box 7916, Canberra BC, ACT 2610, Australia.
B Bushfire and Natural Hazards Cooperative Research Centre, 340 Albert Road, East Melbourne, Vic. 3002, Australia.
C Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Vic. 8001, Australia.
D Corresponding author. Email: duncan.sutherland@adfa.edu.au
International Journal of Wildland Fire 29(1) 70-80 https://doi.org/10.1071/WF19046
Submitted: 28 March 2019 Accepted: 18 September 2019 Published: 13 November 2019
Abstract
The effect of ignition protocol on the development of grassfires is investigated using physics-based simulation. Simulation allows measurement of the forward rate of spread of a fire as a function of time at high temporal resolution. Two ignition protocols are considered: the inward ignition protocol, where the ignition proceeds in a straight line from the edges of the burnable fire plot to the centre of the plot; and the outwards ignition protocol, where the ignition proceeds from the centre of the burnable fire plot to the edges of the plot. In addition to the two ignition protocols, the wind speed, time taken for the ignition to be completed and ignition line length are varied. The rate of spread (R) of the resultant fires is analysed. The outwards ignition protocol leads to an (approximately) monotonic increase in R, whereas the inward ignition protocol can lead to a peak in R before decreasing to the quasi-equilibrium R. The fires simulated here typically take 50 m from the ignition line to develop a quasi-equilibrium R. The results suggest that a faster ignition is preferable to achieve a quasi-equilibrium R in the shortest distance from the ignition line.
References
Apte VB, Bilger RW, Green AR, Quintiere JG (1991) Wind-aided turbulent flame spread and burning over large-scale horizontal PMMA surfaces. Combustion and Flame 85, 169–184.| Wind-aided turbulent flame spread and burning over large-scale horizontal PMMA surfaces.Crossref | GoogleScholarGoogle Scholar |
Belcher SE, Harman IN, Finnigan JJ (2012) The wind in the willows: flows in forest canopies in complex terrain. Annual Review of Fluid Mechanics 44, 479–504.
| The wind in the willows: flows in forest canopies in complex terrain.Crossref | GoogleScholarGoogle Scholar |
Bou-Zeid E, Meneveau C, Parlange MB (2004) Large-eddy simulation of neutral atmospheric boundary layer flow over heterogeneous surfaces: blending height and effective surface roughness. Water Resources Research 40, W02505
| Large-eddy simulation of neutral atmospheric boundary layer flow over heterogeneous surfaces: blending height and effective surface roughness.Crossref | GoogleScholarGoogle Scholar |
Canfield JM, Linn RR, Sauer JA, Finney M, Forthofer J (2014) A numerical investigation of the interplay between fireline length, geometry, and rate of spread. Agricultural and Forest Meteorology 189–190, 48–59.
| A numerical investigation of the interplay between fireline length, geometry, and rate of spread.Crossref | GoogleScholarGoogle Scholar |
Cheney NP, Gould JS (1995) Fire growth in grassland fuels. International Journal of Wildland Fire 5, 237–247.
| Fire growth in grassland fuels.Crossref | GoogleScholarGoogle Scholar |
Cheney NP, Gould JS, Catchpole WR (1993) The influence of fuel, weather and fire shape variables on fire spread in grasslands. International Journal of Wildland Fire 3, 31–44.
| The influence of fuel, weather and fire shape variables on fire spread in grasslands.Crossref | GoogleScholarGoogle Scholar |
Cheney NP, Gould JS, Catchpole WR (1998) Prediction of fire spread in grasslands. International Journal of Wildland Fire 8, 1–13.
| Prediction of fire spread in grasslands.Crossref | GoogleScholarGoogle Scholar |
Cruz MG, Gould JS, Alexander ME, Sullivan AL, McCaw WL, Matthews S (2015a) ‘A guide to rate of fire spread models for Australian vegetation.’ (Australasian Fire and Emergency Service Authorities Council Ltd (AFAC): Melbourne, Vic., Australia, and Commonwealth Scientific and Industrial Research Organisation (CSIRO): Canberra, ACT, Australia)
Cruz MG, Gould JS, Kidnie S, Bessell R, Nichols D, Slijepcevic A (2015b) Effects of curing on grassfires: II. effect of grass senescence on the rate of fire spread. International Journal of Wildland Fire 24, 838–848.
| Effects of curing on grassfires: II. effect of grass senescence on the rate of fire spread.Crossref | GoogleScholarGoogle Scholar |
Dold JW, (2010) Vegetation engagement in unsteady fire spread. In ‘Proceedings of the VI International Conference on Forest Fire Research’, 15–18 November 2010, Coimbra, Portugal. (Ed DX Viegas) (CD-ROM) pp. 15–18. (Elsevier: Amsterdam, Netherlands)
Dold JW, Zinoviev A (2009) Fire eruption through intensity and spread rate interaction mediated by flow attachment. Combustion Theory and Modelling 13, 763–793.
| Fire eruption through intensity and spread rate interaction mediated by flow attachment.Crossref | GoogleScholarGoogle Scholar |
Forney GP (2019) Smokeview, a tool for visualizing fire dynamics simulation data. Vol. I: Users guide. (US Department of Commerce, National Institute of Standards and Technology, US Government Printing Office: Washington, DC, USA)
Frangieh N, Morvan D, Meradji S, Accary G, Bessonov O (2018) Numerical simulation of grassland fires behavior using an implicit physical multiphase model. Fire Safety Journal 102, 37–47.
| Numerical simulation of grassland fires behavior using an implicit physical multiphase model.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 |
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, D, 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 |
McDermott R, McGrattan KB, Floyd J (2011) A simple reaction time scale for under-resolved fire dynamics. Fire Safety Science 10, 809–820.
| A simple reaction time scale for under-resolved fire dynamics.Crossref | GoogleScholarGoogle Scholar |
McGrattan K, Hostikka S, Floyd J, Baum HR, Rehm RG, Mell W, McDermott R (2013) Fire Dynamics Simulator (version 6), technical reference guide. NIST special publication 1018. (US Department of Commerce, National Institute of Standards and Technology, US Government Printing Office: Washington, DC, 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 |
Moinuddin KAM, Sutherland D, Mell W (2018) Simulation study of grass fire using a physics-based model: striving towards numerical rigour and the effect of grass height on the rate of spread. International Journal of Wildland Fire 27, 800–814.
| Simulation study of grass fire using a physics-based model: striving towards numerical rigour and the effect of grass height on the rate of spread.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, Frangieh N (2018) Wildland fires behaviour: wind effect versus Byram's convective number and consequences upon the regime of propagation. International Journal of Wildland Fire 27, 636–641.
| Wildland fires behaviour: wind effect versus Byram's convective number and consequences upon the regime of propagation.Crossref | GoogleScholarGoogle Scholar |
Morvan D, Meradji S, Mell W (2013) Interaction between head fire and backfire in grasslands. Fire Safety Journal 58, 195–203.
| Interaction between head fire and backfire in grasslands.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 |
Sullivan AL, Cruz MG, Hilton JE, Plucinski MP, Hurley R (2018) Study of growth of free-burning grass fires from point ignition. In ‘Proceedings of the VIII International Conference on Forest Fire Research’, 9–16 November 2018, Coimbra, Portugal. (Ed DX Viegas) (CD-ROM) pp. 643–649. (University of Coimbra, Portugal)
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 |
