Articles | Volume 21, issue 10
Nat. Hazards Earth Syst. Sci., 21, 3141–3160, 2021
https://doi.org/10.5194/nhess-21-3141-2021
Nat. Hazards Earth Syst. Sci., 21, 3141–3160, 2021
https://doi.org/10.5194/nhess-21-3141-2021

Research article 19 Oct 2021

Research article | 19 Oct 2021

ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread

Jeffrey Katan and Liliana Perez

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Revised manuscript accepted for NHESS
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Cited articles

Achtemeier, G. L.: “Rabbit Rules” – An application of Stephen Wolfram's “New Kind of Science” to fire spread modeling, in: The 5th Symposium on Fire and Forest Meteorology and the 2nd International Wildland Fire Ecology and Fire Management Congress, 11–16 November 2003, Orlando, Florida, 2003. a, b, c
Achtemeier, G. L.: Field validation of a free-agent cellular automata model of fire spread with fire – atmosphere coupling, Int. J. Wildland Fire, 22, 148–156, https://doi.org/10.1071/WF11055, 2013. a, b, c
Achtemeier, G. L., Goodrick, S. A., and Liu, Y.: Modeling multiple-core updraft plume rise for an aerial ignition prescribed burn by coupling daysmoke with a cellular automata fire model, Atmosphere, 3, 352–376, https://doi.org/10.3390/atmos3030352, 2012. a
Ager, A. A., Barros, A. M., Day, M. A., Preisler, H. K., Spies, T. A., and Bolte, J.: Analyzing fine-scale spatiotemporal drivers of wildfire in a forest landscape model, Ecol. Model., 384, 87–102, https://doi.org/10.1016/j.ecolmodel.2018.06.018, 2018. a
Andela, N., Morton, D. C., Giglio, L., Paugam, R., Chen, Y., Hantson, S., van der Werf, G. R., and Randerson, J. T.: The Global Fire Atlas of individual fire size, duration, speed and direction, Earth Syst. Sci. Data, 11, 529–552, https://doi.org/10.5194/essd-11-529-2019, 2019. a
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Short summary
Wildfires are an integral part of ecosystems worldwide, but they also pose a serious risk to human life and property. To further our understanding of wildfires and allow experimentation without recourse to live fires, this study presents an agent-based modelling approach to combine the complexity possible with physical models with the ease of computation of empirical models. Model calibration and validation show bottom-up simulation tracks the core elements of complexity of fire across scales.
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