Physical modelling of fire spread in Grasslands

Morvan, Dominique; Méradji, Sofiane; Accary, Gilbert

doi:10.1016/j.firesaf.2008.03.004

Cited by 97 publications

(132 citation statements)

References 23 publications

Supporting

Mentioning

129

Contrasting

Unclassified

Order By: Relevance

“…For more details concerning the model (physical formulation and numerical methods) and also the confrontation between numerical results obtained using this model and experimental data collected on the field for shrubland and grassland fires, the reader is invited to consult previous published papers [8,11].…”

Section: Mathematical Modelmentioning

confidence: 99%

Impact of solid fuel particle size upon the propagation of a surface fire through a homogeneous vegetation layer

Morvan¹,

Lamorlette²

2014

Fire Saf. Sci.

Self Cite

View full text Add to dashboard Cite

The aim of this paper is to investigate the role played by the size (thickness) of solid fuel particles upon both the heat transfer and the propagation of a surface fire through a homogeneous vegetation layer. Because all the interactions (mass, momentum, and heat transfer) between the solid fuel layer and the gas phase occur at the interface between these two media, the surface area to volume (SA/V) ratio (inversely proportional to the thickness of the solid fuel particles), which appears in the expression of the specific surface separating these two phases, must affect, more or less significantly, the fire dynamics. This problem has been studied numerically, using a multiphase formulation. Various variables, such as the temperature of the solid fuel, the temperature of the gas, the fire residence time and the heat flux by radiation and convection have been analyzed, in order to understand the role played by the SA/V upon the behaviour of the fire.

show abstract

Section: Mathematical Modelmentioning

confidence: 99%

Impact of solid fuel particle size upon the propagation of a surface fire through a homogeneous vegetation layer

Morvan¹,

Lamorlette²

2014

Fire Saf. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…We can notice that the order of magnitude for the ROS produced using these different approaches, are quite similar, as far the wind conditions remained Temperature field and velocity vectors calculated during the propagation of a surface fire through a tall grass [19]. relatively moderate (U 10 < 8 m/s).…”

Section: Numerical Results Obtained Using the Firestar Modelmentioning

confidence: 78%

“…To illustrate what kind of information, we can extract from wildfire physical modelling, we have reproduced in this part, some numerical results obtained from numerical simulations carried in two ecosystems: a grassland [19] and a Mediterranean shrubland [20]. To assure a sufficient level of accuracy during all the calculation, the computational domain was discretized using an adaptive mesh refinement (AMR), on both side of the pyrolysis front, maintaining a mesh size equal to 0.5 x δ R and 1.0 x δ R along the vertical and the horizontal direction, respectively.…”

Section: Numerical Results Obtained Using the Firestar Modelmentioning

confidence: 99%

Physical phenomena in wildfire modelling

Morvan

2008

WIT Transactions on Ecology and the Environment

Self Cite

View full text Add to dashboard Cite

Modeling wildfires is a big challenge in Computational Science. The behavior of fires is governed by very complex physical phenomena including various non linear mechanisms such as: the turbulent transport in the atmosphere, the turbulent mixing between the ambient air and the pyrolysis products resulting from the thermal degradation of the vegetation, the heat transfers by convection and radiation between the flame and the vegetation. During the last decades, progress in the computational resources, allowed the development of a new generation of physical models. This new approach to study the behavior of wildfires is based on the resolution of balance equations (mass, momentum, energy) governing the evolution of the coupled system formed by a vegetation strata with the ambient air located in the vicinity of a fire front. After introducing the main physical phenomena occurring during the propagation of a wildfire, we present some numerical simulations obtained using the FIRESTAR model (EU FP5) for surface fires in grassland and shrubland. Depending on the ratio between the intensity of the wind flow and the buoyant plume above the flame front, the numerical results highlighted two different regimes of propagation: the plume dominated fires and the wind driven fires.

show abstract

“…The available models for wildfire behaviour prediction can be classified in two main classes: empirical/semi-empirical models [22,23] and full physical models [24,25]. Models belonging to the first class are typically 1D models that are then extended to 2D landscape propagation through proper approaches.…”

Section: Introductionmentioning

confidence: 99%

Entropy Generation Analysis of Wildfire Propagation

Guelpa

Verda

2017

Entropy

View full text Add to dashboard Cite

Entropy generation is commonly applied to describe the evolution of irreversible processes, such as heat transfer and turbulence. These are both dominating phenomena in fire propagation. In this paper, entropy generation analysis is applied to a grassland fire event, with the aim of finding possible links between entropy generation and propagation directions. The ultimate goal of such analysis consists in helping one to overcome possible limitations of the models usually applied to the prediction of wildfire propagation. These models are based on the application of the superimposition of the effects due to wind and slope, which has proven to fail in various cases. The analysis presented here shows that entropy generation allows a detailed analysis of the landscape propagation of a fire and can be thus applied to its quantitative description.

show abstract

Physical modelling of fire spread in Grasslands

Cited by 97 publications

References 23 publications

Impact of solid fuel particle size upon the propagation of a surface fire through a homogeneous vegetation layer

Impact of solid fuel particle size upon the propagation of a surface fire through a homogeneous vegetation layer

Physical phenomena in wildfire modelling

Entropy Generation Analysis of Wildfire Propagation

Contact Info

Product

Resources

About