Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread

Environmental conditions, such as fuel load and moisture levels, can influence the behaviour of wildfires. These factors are subject to natural small-scale variation which is usually spatially or temporally averaged for modelling fire propagation. The effect of including this variation in propagatio...

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Veröffentlicht in:Environmental modelling & software : with environment data news 2015-05, Vol.67, p.118-127
Hauptverfasser: Hilton, J.E., Miller, C., Sullivan, A.L., Rucinski, C.
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container_title Environmental modelling & software : with environment data news
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creator Hilton, J.E.
Miller, C.
Sullivan, A.L.
Rucinski, C.
description Environmental conditions, such as fuel load and moisture levels, can influence the behaviour of wildfires. These factors are subject to natural small-scale variation which is usually spatially or temporally averaged for modelling fire propagation. The effect of including this variation in propagation models has not previously been fully examined or quantified. We investigate the effects of incorporating three types of variation on the shape and rate of propagation of a fire perimeter: variation in combustion conditions, wind direction and wind speed. We find that increasing the variation of combustion condition decreases the overall rate of propagation. An analytical model, based on the harmonic mean, is presented to explain this behaviour. Variation in wind direction is found to cause the development of rounded flanks due to cumulative chance of outward fluctuations at the sides of the perimeter. Our findings may be used to develop improved models for fire spread prediction. [Display omitted] •Implementation of a wildfire spread model based on the level set method.•Investigation of wildfire propagation under stochastic wind and fuel conditions.•Local variation in combustion condition slows the rate of propagation.•Local variation in wind direction is found to increase flank spread.•A harmonic mean is preferential for spatially varying parameters in spread models.
doi_str_mv 10.1016/j.envsoft.2015.01.015
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source Elsevier ScienceDirect Journals
subjects Combustion
Computer programs
Fire growth
Fires
Level set
Mathematical models
Modelling
Perimeter propagation
Simulation
Spark
Wildfires
Wind direction
title Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread
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