The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A physics-based approach to modelling grassland fires
Abstract
Physics-based coupled fire–atmosphere models are based on approximations to the governing equations of fluid dynamics, combustion, and the thermal degradation of solid fuel. They require significantly more computational resources than the most commonly used fire spread models, which are semi-empirical or empirical. However, there are a number of fire behaviour problems, of increasing relevance, that are outside the scope of empirical and semi-empirical models. Examples are wildland–urban interface fires, assessing how well fuel treatments work to reduce the intensity of wildland fires, and investigating the mechanisms and conditions underlying blow-up fires and fire spread through heterogeneous fuels. These problems are not amenable to repeatable full-scale field studies. Suitably validated coupled atmosphere–fire models are one way to address these problems. This paper describes the development of a three-dimensional, fully transient, physics-based computer simulation approach for modelling fire spread through surface fuels. Grassland fires were simulated and compared to findings from Australian experiments. Predictions of the head fire spread rate for a range of ambient wind speeds and ignition line-fire lengths compared favourably to experiments. In addition, two specific experimental cases were simulated in order to evaluate how well the model predicts the development of the entire fire perimeter.
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Citations
Cites
Warming and earlier spring increase western U.S. forest wildfire activity.
Westerling, A. L., Hidalgo, H. G., Cayan, D. R., & Swetnam, T. W. (2006) · Science · doi:10.1126/science.1128834 · Cited by 5,176 · cited 3×
“It is maintained that this, along with (and possibly dominated by) climate change in the Western United States (Westerling et al. 2006), has made forests more dangerous from a fire safety perspective and weakened ecologically; fires ignite more quickly, burn with greater intensity, and spread more rapidly than in the…”
BackgroundInfluentialA mathematical model for predicting fire spread in wildland fuels
Rothermel, R. C. (1972) · doi:10.2737/int-rp-115 · Cited by 2,247
Cited by
Wildland surface fire spread modelling, 1990–2007. 1: Physical and quasi-physical models
Sullivan, A. L. (2009) · International Journal of Wildland Fire · doi:10.1071/wf06143 · Cited by 474
The wildland–urban interface fire problem – current approaches and research needs
Mell, W. E., Manzello, S. L., Maranghides, A., Butry, D., & Rehm, R. G. (2010) · International Journal of Wildland Fire · doi:10.1071/wf07131 · Cited by 444
Self-citationNumerical simulation and experiments of burning douglas fir trees
Mell, W., Maranghides, A., McDermott, R., & Manzello, S. L. (2009) · Combustion and Flame · doi:10.1016/j.combustflame.2009.06.015 · Cited by 317
Self-citationA case study of a community affected by the Witch and Guejito wildland fires.
Maranghides, A., & Mell, W. (2011) · Fire Technology · doi:10.1007/s10694-010-0164-y · Cited by 115
Self-citationAlexandre, P. M., Stewart, S. I., Mockrin, M. H., Keuler, N. S., Syphard, A. D., Bar-Massada, A., Clayton, M. K., & Radeloff, V. C. (2016) · Landscape Ecology · doi:10.1007/s10980-015-0257-6 · Cited by 83
Metadata
- Authors
- Mell, W., Jenkins, M. A., Gould, J., & Cheney, P.
- Venue
- International Journal of Wildland Fire
- Publisher
- CSIRO Publishing
- Published
- 2007-02-20
- Volume
- 16
- Issue
- 1
- Pages
- 1-22
- ISSN
- 1049-8001 (ISSN-L)
- 1448-5516
- OpenAlex
- W2027971388
- Cited by
- 587
- References
- 2
- FWCI
- 14.33
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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