ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread
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Published:2021-10-19
Issue:10
Volume:21
Page:3141-3160
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ISSN:1684-9981
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Container-title:Natural Hazards and Earth System Sciences
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language:en
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Short-container-title:Nat. Hazards Earth Syst. Sci.
Author:
Katan Jeffrey,Perez Liliana
Abstract
Abstract. Wildfires are a complex phenomenon emerging from interactions between air, heat, and vegetation, and while they are an important component of many ecosystems’ dynamics, they pose great danger to those ecosystems, as well as human life and property. Wildfire simulation models are an important research tool that help further our understanding of fire behaviour and can allow experimentation without recourse to live fires. Current fire simulation models fit into two general categories: empirical models and physical models. We present a new modelling approach that uses agent-based modelling to combine the complexity possible with physical models with the ease of computation of empirical models. Our model represents the fire front as a set of moving agents that respond to, and interact with, vegetation, wind, and terrain. We calibrate the model using two simulated fires and one real fire and validate the model against another real fire and the interim behaviour of the real calibration fire. Our model successfully replicates these fires, with a figure of merit on par with simulations by the Prometheus simulation model. Our model is a stepping-stone in using agent-based modelling for fire behaviour simulation, as we demonstrate the ability of agent-based modelling to replicate fire behaviour through emergence alone.
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference96 articles.
1. 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 2. 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 3. 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 4. 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 5. 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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