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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Fire behaviour in wheat crops – effect of fuel structure on rate of fire spread

Miguel G. Cruz A C , Richard J. Hurley A , Rachel Bessell B and Andrew L. Sullivan https://orcid.org/0000-0002-8038-8724 A
+ Author Affiliations
- Author Affiliations

A CSIRO, GPO Box 1700, Canberra, ACT 2601, Australia.

B CFA, Bushfire Management, PO Box 701, Mt Waverley, Vic. 3149, Australia.

C Corresponding author. Email: miguel.cruz@csiro.au

International Journal of Wildland Fire 29(3) 258-271 https://doi.org/10.1071/WF19139
Submitted: 6 September 2019  Accepted: 26 November 2019   Published: 16 January 2020

Abstract

A field-based experimental study was conducted in 50 × 50 m square plots to investigate the behaviour of free-spreading fires in wheat to quantify the effect of crop condition (i.e. harvested, unharvested and harvested and baled) on the propagation rate of fires and their associated flame characteristics, and to evaluate the adequacy of existing operational prediction models used in these fuel types. The dataset of 45 fires ranged from 2.4 to 10.2 km h−1 in their forward rate of fire spread and 3860 and 28 000 kW m−1 in fireline intensity. Rate of fire spread and flame heights differed significantly between crop conditions, with the unharvested condition yielding the fastest spreading fires and tallest flames and the baled condition having the slowest moving fires and lowest flames. Rate of fire spread in the three crop conditions corresponded directly with the outputs from the models of Cheney et al. (1998) for grass fires: unharvested wheat → natural grass; harvested wheat (~0.3 m tall stubble) → grazed or cut grass; and baled wheat (<0.1 m tall stubble) → eaten-out grass. These models produced mean absolute percent errors between 21% and 25% with reduced bias, a result on par with the most accurate published fire spread model evaluations.

Additional keywords: fire behaviour modelling, fire danger, fire experiments, grassfires, headfire.


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