Articles | Volume 26, issue 6
https://doi.org/10.5194/nhess-26-2871-2026
https://doi.org/10.5194/nhess-26-2871-2026
Research article
 | 
17 Jun 2026
Research article |  | 17 Jun 2026

Predicting spatio-temporal wildfire propagation with dynamic firebreaks

Jiahe Zheng, Zhengsen Xu, Rossella Arcucci, Sandy P. Harrison, Lincoln Linlin Xu, and Sibo Cheng

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Latest update: 28 Jul 2026
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Short summary
We introduce the first AI model that predicts wildfire spread with the placement of both permanent and temporary firebreaks. Our spatiotemporal model learns from simulation data to capture how fire interacts with changing suppression efforts over time. Our model runs fast enough for near real-time use and performs well across different wildfire events. This approach could lead to better tools for helping decision-makers understand where and when firebreaks are most effective.
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