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)

The role of helicity and fire–atmosphere turbulent energy transport in potential wildfire behaviour

Jiawei Zhang https://orcid.org/0000-0001-7505-8870 A B * , Marwan Katurji B , Peyman Zawar-Reza B and Tara Strand A
+ Author Affiliations
- Author Affiliations

A New Zealand Forest Research Institute, Scion, Rotorua, New Zealand.

B School of Earth and Environment, University of Canterbury, Christchurch, New Zealand.

* Correspondence to: jiawei.zhang@scionresearch.com

International Journal of Wildland Fire 32(1) 29-42 https://doi.org/10.1071/WF22101
Submitted: 21 June 2022  Accepted: 5 December 2022   Published: 4 January 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: Understanding near-surface fire–atmosphere interactions at turbulence scale is fundamental for predicting fire spread behaviour.

Aims: This study aims to investigate the fire–atmosphere interaction and the accompanying energy transport processes within the convective boundary layer.

Methods: Three groups of large eddy simulations representing common ranges of convective boundary layer conditions and fire intensities were used to examine how ambient buoyancy-induced atmospheric turbulence impacts fire region energy transport.

Key results: In a relatively weak convective boundary layer, the fire-induced buoyancy force could impose substantial changes to the near-surface atmospheric turbulence and cause an anticorrelation of the helicity between the ambient atmosphere and the fire-induced flow. Fire-induced impact became much smaller in a stronger convective environment, with ambient atmospheric flow maintaining coherent structures across the fire heating region. A high-efficiency heat transport zone above the fire line was found in all fire cases. The work also found counter-gradient transport zones of both momentum and heat in fire cases in the weak convective boundary layer group.

Conclusions: We conclude that fire region energy transport can be affected by convective boundary layer conditions.

Implications: Ambient atmospheric turbulence can impact fire behaviour through the energy transport process. The counter-gradient transport might also indicate the existence of strong buoyancy-induced mixing processes.

Keywords: convective boundary layer, energy transport, fire behaviour, fire-atmosphere interaction, helicity, large eddy simulation, quadrant analysis, turbulence.


References

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 |

Clements CB, Zhong S, Goodrick S, Li J, Potter BE, Bian X, Heilman WE, Charney JJ, Perna R, Jang M, Lee D, Patel M, Street S, Aumann G (2007) Observing the dynamics of wildland grass fires: FireFlux – a field validation experiment. Bulletin of the American Meteorological Society 88, 1369–1382.
Observing the dynamics of wildland grass fires: FireFlux – a field validation experiment.Crossref | GoogleScholarGoogle Scholar |

Clements CB, Zhong S, Bian X, Heilman WE, Byun DW (2008) First observations of turbulence generated by grass fires. Journal of Geophysical Research: Atmospheres 113, D22102
First observations of turbulence generated by grass fires.Crossref | GoogleScholarGoogle Scholar |

Coen JL, Cameron M, Michalakes J, Patton EG, Riggan PJ, Yedinak KM (2013) WRF-Fire: coupled weather–wildland fire modeling with the weather research and forecasting model. Journal of Applied Meteorology and Climatology 52, 16–38.
WRF-Fire: coupled weather–wildland fire modeling with the weather research and forecasting model.Crossref | GoogleScholarGoogle Scholar |

Cunningham P, Linn RR (2007) Numerical simulations of grass fires using a coupled atmosphere–fire model: dynamics of fire spread. Journal of Geophysical Research: Atmospheres 112, D05108
Numerical simulations of grass fires using a coupled atmosphere–fire model: dynamics of fire spread.Crossref | GoogleScholarGoogle Scholar |

Deardorff JW (1980) Stratocumulus-capped mixed layers derived from a three-dimensional model. Boundary-Layer Meteorology 18, 495–527.
Stratocumulus-capped mixed layers derived from a three-dimensional model.Crossref | GoogleScholarGoogle Scholar |

Dickinson MB, Wold CE, Butler BW, Kremens RL, Jimenez D, Sopko P, O’Brien JJ (2021) The wildland fire heat budget – using bi-directional probes to measure sensible heat flux and energy in surface fires. Sensors 21, 2135
The wildland fire heat budget – using bi-directional probes to measure sensible heat flux and energy in surface fires.Crossref | GoogleScholarGoogle Scholar |

Finney MA, Cohen JD, Forthofer JM, McAllister SS, Gollner MJ, Gorham DJ, Saito K, Akafuah NK, Adam BA, English JD (2015) Role of buoyant flame dynamics in wildfire spread. Proceedings of the National Academy of Sciences 112, 9833–9838.
Role of buoyant flame dynamics in wildfire spread.Crossref | GoogleScholarGoogle Scholar |

Forthofer JM, Goodrick SL (2011) Review of vortices in wildland fire. Journal of Combustion 2011, 1–14.
Review of vortices in wildland fire.Crossref | GoogleScholarGoogle Scholar |

Frangieh N, Accary G, Morvan D, Méradji S, Bessonov O (2020) Wildfires front dynamics: 3D structures and intensity at small and large scales. Combustion and Flame 211, 54–67.
Wildfires front dynamics: 3D structures and intensity at small and large scales.Crossref | GoogleScholarGoogle Scholar |

Frankman DJ (2009) Radiation and convection heat transfer in wildland fire environments. PhD Thesis, Brigham Young University, Provo, UT, USA.

Haines DA (1989) A lower atmosphere severity index for wildlife fires. National Weather Digest 13, 23–27.

Heilman WE, Bian X, Clark KL, Zhong S (2019) Observations of turbulent heat and momentum fluxes during wildland fires in forested environments. Journal of Applied Meteorology and Climatology 58, 813–829.
Observations of turbulent heat and momentum fluxes during wildland fires in forested environments.Crossref | GoogleScholarGoogle Scholar |

Henn DS, Sykes RI (1992) Large-eddy simulation of dispersion in the convective boundary layer. Atmospheric Environment Part A General Topics 26, 3145–3159.
Large-eddy simulation of dispersion in the convective boundary layer.Crossref | GoogleScholarGoogle Scholar |

Hide R (1989) Superhelicity, helicity and potential vorticity. Geophysical & Astrophysical Fluid Dynamics 48, 69–79.
Superhelicity, helicity and potential vorticity.Crossref | GoogleScholarGoogle Scholar |

Holtslag AAM, Moeng C-H (1991) Eddy diffusivity and countergradient transport in the convective atmospheric boundary layer. Journal of the Atmospheric Sciences 48, 1690–1698.
Eddy diffusivity and countergradient transport in the convective atmospheric boundary layer.Crossref | GoogleScholarGoogle Scholar |

Hudak AT, Dickinson MB, Bright BC, Kremens RL, Loudermilk EL, O’Brien JJ, Hornsby BS, Ottmar RD (2016) Measurements relating fire radiative energy density and surface fuel consumption – RxCADRE 2011 and 2012. International Journal of Wildland Fire 25, 25–37.
Measurements relating fire radiative energy density and surface fuel consumption – RxCADRE 2011 and 2012.Crossref | GoogleScholarGoogle Scholar |

Kiefer MT, Heilman WE, Zhong S, Charney JJ, Bian X, Skowronski NS, Hom JL, Clark KL, Patterson M, Gallagher MR (2014) Multiscale simulation of a prescribed fire event in the New Jersey pine barrens using ARPS-CANOPY. Journal of Applied Meteorology and Climatology 53, 793–812.
Multiscale simulation of a prescribed fire event in the New Jersey pine barrens using ARPS-CANOPY.Crossref | GoogleScholarGoogle Scholar |

Kiefer MT, Heilman WE, Zhong S, Charney JJ, Bian X (2015) Mean and turbulent flow downstream of a low-intensity fire: influence of canopy and background atmospheric conditions. Journal of Applied Meteorology and Climatology 54, 42–57.
Mean and turbulent flow downstream of a low-intensity fire: influence of canopy and background atmospheric conditions.Crossref | GoogleScholarGoogle Scholar |

Kiefer MT, Heilman WE, Zhong S, Charney JJ, Bian X (2016) A study of the influence of forest gaps on fire–atmosphere interactions. Atmospheric Chemistry and Physics 16, 8499–8509.
A study of the influence of forest gaps on fire–atmosphere interactions.Crossref | GoogleScholarGoogle Scholar |

Kiefer MT, Zhong S, Heilman WE, Charney JJ, Bian X (2018) A numerical study of atmospheric perturbations induced by heat From a wildland fire: sensitivity to vertical canopy structure and heat source strength. Journal of Geophysical Research: Atmospheres 123, 2555–2572.
A numerical study of atmospheric perturbations induced by heat From a wildland fire: sensitivity to vertical canopy structure and heat source strength.Crossref | GoogleScholarGoogle Scholar |

Kremens RL, Dickinson MB, Bova AS (2012) Radiant flux density, energy density and fuel consumption in mixed-oak forest surface fires. International Journal of Wildland Fire 21, 722–730.
Radiant flux density, energy density and fuel consumption in mixed-oak forest surface fires.Crossref | GoogleScholarGoogle Scholar |

LeMone MA, Grossman RL, Coulter RL, Wesley ML, Klazura GE, PouIos GS, Blumen W, Lundquist JK, Cuenca RH, Kelly SF, Brandes EA, Oncley SP, McMillen RT, Hicks BB (2000) Land–atmosphere interaction research, early results, and opportunities in the Walnut River Watershed in southeast Kansas: CASES and ABLE. Bulletin of the American Meteorological Society 81, 757–780.
Land–atmosphere interaction research, early results, and opportunities in the Walnut River Watershed in southeast Kansas: CASES and ABLE.Crossref | GoogleScholarGoogle Scholar |

Li D, Bou-Zeid E (2011) Coherent structures and the dissimilarity of turbulent transport of momentum and scalars in the unstable atmospheric surface layer. Boundary-Layer Meteorology 140, 243–262.
Coherent structures and the dissimilarity of turbulent transport of momentum and scalars in the unstable atmospheric surface layer.Crossref | GoogleScholarGoogle Scholar |

Linn RR, Sieg CH, Hoffman CM, Winterkamp JL, McMillin JD (2013) Modeling wind fields and fire propagation following bark beetle outbreaks in spatially-heterogeneous pinyon–juniper woodland fuel complexes. Agricultural and Forest Meteorology 173, 139–153.
Modeling wind fields and fire propagation following bark beetle outbreaks in spatially-heterogeneous pinyon–juniper woodland fuel complexes.Crossref | GoogleScholarGoogle Scholar |

Markowski PM, Straka JM, Rasmussen EN, Blanchard DO (1998) Variability of storm-relative helicity during VORTEX. Monthly Weather Review 126, 2959–2971.
Variability of storm-relative helicity during VORTEX.Crossref | GoogleScholarGoogle Scholar |

Maronga B, Gryschka M, Heinze R, Hoffmann F, Kanani-Sühring F, Keck M, Ketelsen K, Letzel MO, Sühring M, Raasch S (2015) The parallelized large-eddy simulation model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives. Geoscientific Model Development Discussions 8, 1539–1637.
The parallelized large-eddy simulation model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives.Crossref | GoogleScholarGoogle Scholar |

McDonough JM, Loh A (2003) Simulation of vorticity–buoyancy interactions in fire-whirl-like phenomena. In ‘Heat Transfer. Vol. 2’. pp. 195–201. (ASME: Las Vegas, Nevada, USA)
| Crossref |

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 firesCrossref | GoogleScholarGoogle Scholar |

Moeng C-H, Wyngaard JC (1988) Spectral analysis of large-eddy simulations of the convective boundary layer. Journal of the Atmospheric Sciences 45, 3573–3587.
Spectral analysis of large-eddy simulations of the convective boundary layer.Crossref | GoogleScholarGoogle Scholar |

Orlanski I (1975) A rational subdivision of scales for atmospheric processes. Bulletin of the American Meteorological Society 56, 527–530.

Pimont F, Dupuy J-L, Linn RR, Sauer JA, Muñoz-Esparza D (2020) Pressure-gradient forcing methods for large-eddy simulations of fows in the lower atmospheric boundary layer. Atmosphere 11, 1343
Pressure-gradient forcing methods for large-eddy simulations of fows in the lower atmospheric boundary layer.Crossref | GoogleScholarGoogle Scholar |

Potter BE (2002) A dynamics based view of atmosphere - fire interactions International Journal of Wildland Fire 11, 247
A dynamics based view of atmosphere - fire interactionsCrossref | GoogleScholarGoogle Scholar |

Potter BE (2012) Atmospheric interactions with wildland fire behaviour – II. Plume and vortex dynamics. International Journal of Wildland Fire 21, 802–817.
Atmospheric interactions with wildland fire behaviour – II. Plume and vortex dynamics.Crossref | GoogleScholarGoogle Scholar |

Potter B (2018) The Haines Index – it’s time to revise it or replace it. International Journal of Wildland Fire 27, 437–440.
The Haines Index – it’s time to revise it or replace it.Crossref | GoogleScholarGoogle Scholar |

Raasch S, Schröter M (2001) PALM – a large-eddy simulation model performing on massively parallel computers. Meteorologische Zeitschrift 10, 363–372.
PALM – a large-eddy simulation model performing on massively parallel computers.Crossref | GoogleScholarGoogle Scholar |

Rizza U, Miglietta MM, Degrazia GA, Acevedo OC, Marques Filho EP (2013) Sunset decay of the convective turbulence with large-eddy simulation under realistic conditions. Physica A: Statistical Mechanics and Its Applications 392, 4481–4490.
Sunset decay of the convective turbulence with large-eddy simulation under realistic conditions.Crossref | GoogleScholarGoogle Scholar |

Seto D, Clements CB (2011) Fire whirl evolution observed during a valley wind–sea breeze reversal. Journal of Combustion 2011, 1–12.
Fire whirl evolution observed during a valley wind–sea breeze reversal.Crossref | GoogleScholarGoogle Scholar |

Seto D, Strand TM, Clements CB, Thistle H, Mickler R (2014) Wind and plume thermodynamic structures during low-intensity subcanopy fires. Agricultural and Forest Meteorology 198–199, 53–61.
Wind and plume thermodynamic structures during low-intensity subcanopy fires.Crossref | GoogleScholarGoogle Scholar |

Shaw RH, Tavangar J, Ward DP (1983) Structure of the Reynolds Stress in a Canopy Layer. Journal of Climate and Applied Meteorology 22, 1922–1931.
Structure of the Reynolds Stress in a Canopy Layer.Crossref | GoogleScholarGoogle Scholar |

Shiqiang F, Zhemin T (2001) On the helicity dynamics of severe convective storms. Advances in Atmospheric Sciences 18, 67–86.
On the helicity dynamics of severe convective storms.Crossref | GoogleScholarGoogle Scholar |

Silvani X, Morandini F, Muzy J-F (2009) Wildfire spread experiments: Fluctuations in thermal measurements. International Communications in Heat and Mass Transfer 36, 887–892.
Wildfire spread experiments: Fluctuations in thermal measurements.Crossref | GoogleScholarGoogle Scholar |

Simpson CC, Sharples JJ, Evans JP (2016) Sensitivity of atypical lateral fire spread to wind and slope. Geophysical Research Letters 43, 1744–1751.
Sensitivity of atypical lateral fire spread to wind and slope.Crossref | GoogleScholarGoogle Scholar |

Stull RB (2012) ‘An Introduction to Boundary Layer Meteorology.’ (Springer Science & Business Media: Berlin, Germany)

Sturman AP, McGowan HA, Spronken-Smith RA (1999) Mesoscale and local climates in New Zealand. Progress in Physical Geography: Earth and Environment 23, 611–635.
Mesoscale and local climates in New Zealand.Crossref | GoogleScholarGoogle Scholar |

Sullivan AL (2007) Convective Froude number and Byram’s energy criterion of Australian experimental grassland fires. Proceedings of the Combustion Institute 31, 2557–2564.
Convective Froude number and Byram’s energy criterion of Australian experimental grassland fires.Crossref | GoogleScholarGoogle Scholar |

Sullivan AL (2017) Inside the inferno: fundamental processes of wildland fire behaviour. Part 2: heat transfer and interactions. Current Forestry Reports 3, 150–171.
Inside the inferno: fundamental processes of wildland fire behaviour. Part 2: heat transfer and interactions.Crossref | GoogleScholarGoogle Scholar |

Sun R, Krueger SK, Jenkins MA, Zulauf MA, Charney JJ (2009) The importance of fire–atmosphere coupling and boundary-layer turbulence to wildfire spread. International Journal of Wildland Fire 18, 50–60.
The importance of fire–atmosphere coupling and boundary-layer turbulence to wildfire spread.Crossref | GoogleScholarGoogle Scholar |

Tang T (2017) A physics-based approach to modeling a physics-based approach to modeling wildland fire spread through porous fuel beds. PhD Thesis, University of Kentucky, Lexington, KY, USA.
| Crossref |

Thomas DS, Butry DT (2014) Areas of the US wildland–urban interface threatened by wildfire during the 2001–2010 decade. Natural Hazards 71, 1561–1585.
Areas of the US wildland–urban interface threatened by wildfire during the 2001–2010 decade.Crossref | GoogleScholarGoogle Scholar |

Van Wagner CE (1974) ‘Structure of the Canadian Forest Fire Weather Index.’ (tCiteSeerX)

Wallace JM (2016) Quadrant analysis in turbulence research: history and evolution. Annual Review of Fluid Mechanics 48, 131–158.
Quadrant analysis in turbulence research: history and evolution.Crossref | GoogleScholarGoogle Scholar |

Wyngaard JC, Moeng C-H (1992) Parameterizing turbulent diffusion through the joint probability density. Boundary-Layer Meteorology 60, 1–13.
Parameterizing turbulent diffusion through the joint probability density.Crossref | GoogleScholarGoogle Scholar |

Xue H, Feingold G (2006) Large-eddy simulations of trade wind cumuli: investigation of aerosol indirect effects. Journal of the Atmospheric Sciences 63, 1605–1622.
Large-eddy simulations of trade wind cumuli: investigation of aerosol indirect effects.Crossref | GoogleScholarGoogle Scholar |

Yates DN, Chen F, LeMone MA, Qualls R, Oncley SP, Grossman RL, Brandes EA (2001) A Cooperative Atmosphere–Surface Exchange Study (CASES) dataset for analyzing and parameterizing the effects of land surface heterogeneity on area-averaged surface heat fluxes. Journal of Applied Meteorology 40, 921–937.
A Cooperative Atmosphere–Surface Exchange Study (CASES) dataset for analyzing and parameterizing the effects of land surface heterogeneity on area-averaged surface heat fluxes.Crossref | GoogleScholarGoogle Scholar |