A new model of wildland fire simulation

Plourde, Frédéric; Doan-Kim, S.; Dumas, Jean-Christophe; Malet, J.C.

doi:10.1016/s0379-7112(97)00039-8

Cited by 10 publications

(5 citation statements)

References 5 publications

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“…Speer et al (2001) used a numerical weather prediction model to predict the speed and direction of the wind for input into a simple empirical model of fire spread through heathland fuel to predict the rate of forward spread (not to simulate the spread) of two wildfires in Sydney 1994. Plourde et al (1997) extend the application of Huygens's wavelet propagation principle as utilised by Knight and Coleman (1993). However, rather than relying on the template ellipse as the format for the next interval propagation, the authors utilise an innovative closed contour method based on a complex Fourier series function.…”

Section: Other Propagation Methodsmentioning

confidence: 99%

A review of wildland fire spread modelling, 1990-present 3: Mathematical analogues and simulation models

Sullivan

2007

Preprint

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In recent years, advances in computational power and spatial data analysis (GIS, remote sensing, etc) have led to an increase in attempts to model the spread and behvaiour of wildland fires across the landscape. This series of review papers endeavours to critically and comprehensively review all types of surface fire spread models developed since 1990. This paper reviews models of a simulation or mathematical analogue nature. Most simulation models are implementations of existing empirical or quasi-empirical models and their primary function is to convert these generally one dimensional models to two dimensions and then propagate a fire perimeter across a modelled landscape. Mathematical analogue models are those that are based on some mathematical conceit (rather than a physical representation of fire spread) that coincidentally simulates the spread of fire. Other papers in the series review models of an physical or quasi-physical nature and empirical or quasiempirical nature. Many models are extensions or refinements of models developed before 1990. Where this is the case, these models are also discussed but much less comprehensively.

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Section: Other Propagation Methodsmentioning

confidence: 99%

A review of wildland fire spread modelling, 1990-present 3: Mathematical analogues and simulation models

Sullivan

2007

Preprint

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“…Among the closest systems studied, Mediterranean shrubs and grasslands have been experimentally (Morandini et al 2006;Santoni et al 2006) and numerically studied (Morvan and Dupuy 2004;Mell et al 2007;Morvan et al 2009), however without tackling the issue of the crown fire propagation, except in the work of Pimont et al (2011), for instance. Numerically, the complexity of models varied (Novozhilov et al 1996;Plourde et al 1997;Morvan and Dupuy 2001;Mell et al 2009;Pimont et al 2011Pimont et al , 2014 but using rather simplified vegetation inputs (involving generally one or two species). In contrast, the added value of the current work was the consideration in the modelling of the characteristics of most species (native as well as exotic and orchard species) and the georeferencing of the main components of the WUI vegetation recorded in each study case.…”

Section: Functional Capacity Of Fds To Model Wui Fire Behaviour Using...mentioning

confidence: 99%

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

Ganteaume

Guillaume²,

Girardin³

et al. 2023

Int. J. Wildland Fire

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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.

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“…[9], as the heat of combustion does not vary enough to be significant in the numerical evaluation of the fire [19]. (6) Geometry: The computer model represents the litter as a rectangular volume. The litter depth varies as shown in Table 1.…”

Section: Simulation Inputsmentioning

confidence: 99%

“…The closest fire systems studied were Mediterranean shrubs and grasslands, which have been experimentally studied by Santoni et al [1] and Morandini et al [2] and numerically by Morvan and Dupuy [3], Mell et al [4] and Morvan et al [5]. Numerically, the model ranged from simple geometrical models [6] to very complex ones [7][8][9]. A review of the literature showed an almost total absence of field and laboratory data on surface fire propagation in the Brazilian Amazon.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of surface forest fire in Brazilian Amazon

Bufacchi

Krieger

Mell

et al. 2016

Fire Safety Journal

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a b s t r a c tThis paper investigates fire spread through surface fuels of the Brazilian Amazon by using a three-dimensional, fully transient, physics-based computer simulation approach. Computer simulations are obtained through the solution to governing equations of fluid dynamics, combustion, heat transfer and thermal degradation of the vegetative fuel. Surface fuel fires composed mostly of dead leaves and twigs were numerically simulated and the calculated rate of spread was compared to findings from field observations. The importance of air humidity, vegetation temperature, moisture content, surface to volume ratio and bulk density was evaluated through the variation of each one individually in numerical simulation runs. Conclusions show that in the range of parameter variation considered, the most important parameters are the vegetation moisture, surface area to volume ratio, and bulk density. The vegetation initial temperature and air humidity, in the range of variation studied, did not influence the fire rate of spread. The numerical simulations also showed that the radiation process is very important and directly affects the fire rate of spread. Convection is less important because of the absence of external wind. The model is able to capture the main effects of a surface forest fire typical of the Amazon, and can be used as a numerical tool for studying such fires.

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A new model of wildland fire simulation

Cited by 10 publications

References 5 publications

A review of wildland fire spread modelling, 1990-present 3: Mathematical analogues and simulation models

A review of wildland fire spread modelling, 1990-present 3: Mathematical analogues and simulation models

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

Numerical simulation of surface forest fire in Brazilian Amazon

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