The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Wildland surface fire spread modelling, 1990–2007. 2: Empirical and quasi-empirical models
Open accessAbstract
In recent years, advances in computational power have led to an increase in attempts to model the behaviour of wildland fires and to simulate their spread across landscape. The present series of articles endeavours to comprehensively survey and précis all types of surface fire spread models developed during the period 1990–2007. The current paper surveys models of an empirical or quasi-empirical nature. These models are based on the statistical analysis of experimentally obtained data with or without some physical framework for the basis of the relations. Other papers in the series review models of a physical or quasi-physical nature, and mathematical analogues and simulation models. The main relations of empirical models are those of wind speed and fuel moisture content with rate of forward spread. The focus of the discussion is on the treatment of the wind speed and fuel moisture functions by the models.
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Citations
Cites
A mathematical model for predicting fire spread in wildland fuels
Rothermel, R. C. (1972) · doi:10.2737/int-rp-115 · Cited by 2,247
Conditions for the start and spread of crown fire
Wagner, C. E. V. (1977) · Canadian Journal of Forest Research · doi:10.1139/x77-004 · Cited by 1,069
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
Self-citationThe Influence of Fuel, Weather and Fire Shape Variables on Fire-Spread in Grasslands
Cheney, N., Gould, J., & Catchpole, W. (1993) · International Journal of Wildland Fire · doi:10.1071/wf9930031 · Cited by 391
Prediction of Fire Spread in Grasslands
Cheney, N., Gould, J., & Catchpole, W. (1998) · International Journal of Wildland Fire · doi:10.1071/wf9980001 · Cited by 390
Science, technology, and human factors in fire danger rating: the Canadian experience.
Taylor, S. W., & Alexander, M. E. (2006) · International Journal of Wildland Fire · doi:10.1071/wf05021 · Cited by 247
Rate of Spread of Free-Burning Fires in Woody Fuels in a Wind Tunnel
CATCHPOLE, W. R., CATCHPOLE, E. A., BUTLER, B. W., ROTHERMEL, R. C., MORRIS, G. A., & LATHAM, D. J. (1998) · Combustion Science and Technology · doi:10.1080/00102209808935753 · Cited by 230
Baeza, M. J., De Luı́s, M., Raventós, J., & Escarré, A. (2002) · Journal of Environmental Management · doi:10.1006/jema.2002.0545 · Cited by 225
Linn, R. R., & Cunningham, P. (2005) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2004jd005597 · Cited by 219
Modelling fire spread through fuel beds
Weber, R. O. (1991) · Progress in Energy and Combustion Science · doi:10.1016/0360-1285(91)90003-6 · Cited by 205
Cited by
Uncertainty and risk in wildland fire management: A review
Thompson, M. P., & Calkin, D. E. (2011) · Journal of Environmental Management · doi:10.1016/j.jenvman.2011.03.015 · Cited by 343
Biological and geophysical feedbacks with fire in the Earth system
Archibald, S., Lehmann, C. E. R., Belcher, C. M., Bond, W. J., Bradstock, R. A., Daniau, A.-L., Dexter, K. G., Forrestel, E. J., Greve, M., He, T., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aa9ead · Cited by 341
Combustion machine learning: Principles, progress and prospects
Ihme, M., Chung, W. T., & Mishra, A. A. (2022) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2022.101010 · Cited by 265
Caton, S. E., Hakes, R. S. P., Gorham, D. J., Zhou, A., & Gollner, M. J. (2017) · Fire Technology · doi:10.1007/s10694-016-0589-z · Cited by 241
Probabilistic assessment of wildfire hazard and municipal watershed exposure
Scott, J., Helmbrecht, D., Thompson, M. P., Calkin, D. E., & Marcille, K. (2012) · Natural Hazards · doi:10.1007/s11069-012-0265-7 · Cited by 66
Metadata
- Authors
- Sullivan, A. L.
- Venue
- International Journal of Wildland Fire
- Publisher
- CSIRO Publishing
- Published
- 2009-06-29
- Volume
- 18
- Issue
- 4
- Pages
- 369-386
- ISSN
- 1049-8001 (ISSN-L)
- 1448-5516
- OpenAlex
- W2097086408
- Cited by
- 408
- References
- 32
- FWCI
- 7.98
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
