2025
Background. Fire simulation frameworks and decision support systems (DSSs) are critical tools in fire response dispatching that need to consider factors influencing fire spread and suppression difficulty while provide easily interpreted indexes. Aims. We present a new user-friendly Initial Attack Assessment (IAA) index, ranging from 1 to 5, designed to quickly and efficiently evaluate wildfires from their onset. Methods. We used 26,907 California’s wildfire ignitions to run automatic simulations. The Fire Behavior Index (FBI), Terrain Difficulty Index (TDI) and IAA were determined using size-based and fire behavior outputs from each simulation. Initial attack success was evaluated by comparing simulations with real fire sizes. Binary models were calibrated and validated to predict success based on IAA, FBI and TDI, and suppression response time. Key results. The IAA effectively identified fires exceeding suppression capacity. Higher levels of IAA, FBI and TDI were associated with reduced success odds, IAA=5 giving a 90% decrease in the odds of initial attack success. Response time and its interaction with terrain difficulty were also influential. Conclusions. The IAA is a powerful index to feed DSSs, prioritizing fire response and predicting the probability of control at a small size. Implications. This ensures practicality for end-users, allowing agencies and utilities to better respond to wildfires.
This research was funded by the Spanish Ministry of Science, Innovation and Universities and the State Investigation Agency (MCIU- AEI institution code: 10.13039/501100011033) by means of the ‘Torres Quevedo’ grant (PTQ2022-012740). It also received funding from the European Union under the Horizon 2020 research and innovation program via the Marie Skłodowska-Curie grant agreement no. 860787 (PyroLife Innovative Training Network; https://pyrolife.lessonsonfire.eu/), a project in which a new generation of experts is trained in integrated fire management; through the Horizon 2020 Project ‘Innovative technologies and socio-ecological-economic solutions for fire resilient territories in Europe’ – FIRE-RES (Grant agreement ID:101037419, https:// cordis.europa.eu/project/id/101037419/results); and via the FIRE-ADAPT project, supported by the Marie Skłodowska-Curie Actions Staff Exchanges 2021 scheme within the Horizon Europe program (HORIZON-MSCA-2021-SE, Grant Agreement No. 101086416).
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Decision-making; Dynamic wildfire risk modeling; Fire behavior index; FBI
CSIRO PUBLISHING
Reproducció del document publicat a https://doi.org/10.1071/WF24160
International Journal of Wildland Fire, 2025, vol. 34, núm. 24160, p. 1-14
info:eu-repo/grantAgreement/EC/H2020/101037419/EU/FIRE-RES
info:eu-repo/grantAgreement/HE/H2020/101086416/EU/FIRE-ADAPT
cc-by-nc (c) Cardil et al., 2025
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
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