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Cited by 474

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Wildland surface fire spread modelling, 1990–2007. 1: Physical and quasi-physical models

Open access
Sullivan, Andrew L.·2009·International Journal of Wildland Fire

Abstract

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 the 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, providing a useful starting point for those readers interested in recent modelling activities. The current paper surveys models of a physical or quasi-physical nature. These models are based on the fundamental chemistry and physics, or physics alone, of combustion and fire spread. Other papers in the series review models of an empirical or quasi-empirical nature, and mathematical analogues and simulation models. Many models are extensions or refinements of models developed before 1990. Where this is the case, these models are also discussed but in much less detail.

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Crossref · 10.1071/wf06143

Cites

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Metadata

Authors
Sullivan, A. L.
Venue
International Journal of Wildland Fire
Published
2009-06-29
Volume
18
Issue
4
Pages
349-368
ISSN
  • 1049-8001 (ISSN-L)
  • 1448-5516
OpenAlex
W2145445755
Cited by
474
References
44
FWCI
10.83
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Wildland surface fire spread modelling, 1990–2007. 1: Physical and quasi-physical models. https://app.cochat.ai/papers/10.1071/wf06143
The paper
Sullivan, A. L. (2009). Wildland surface fire spread modelling, 1990–2007. 1: Physical and quasi-physical models. International Journal of Wildland Fire. https://doi.org/10.1071/wf06143

Data sources

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.