Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-3141-2021
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

Related authors

Learning from conceptual models – a study of emergence of cooperation towards resource protection in a social-ecological system
Saeed Harati-Asl, Liliana Perez, and Roberto Molowny-Horas
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-57,https://doi.org/10.5194/gmd-2024-57, 2024
Preprint under review for GMD
Short summary
Impacts of grazing on vegetation dynamics in a sediment transport complex model
Phillipe Gauvin-Bourdon, James King, and Liliana Perez
Earth Surf. Dynam., 9, 29–45, https://doi.org/10.5194/esurf-9-29-2021,https://doi.org/10.5194/esurf-9-29-2021, 2021
Short summary

Related subject area

Other Hazards (e.g., Glacial and Snow Hazards, Karst, Wildfires Hazards, and Medical Geo-Hazards)
AutoATES v2.0: Automated Avalanche Terrain Exposure Scale mapping
Håvard B. Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland
Nat. Hazards Earth Syst. Sci., 24, 1779–1793, https://doi.org/10.5194/nhess-24-1779-2024,https://doi.org/10.5194/nhess-24-1779-2024, 2024
Short summary
Modelling the vulnerability of urban settings to wildland–urban interface fires in Chile
Paula Aguirre, Jorge León, Constanza González-Mathiesen, Randy Román, Manuela Penas, and Alonso Ogueda
Nat. Hazards Earth Syst. Sci., 24, 1521–1537, https://doi.org/10.5194/nhess-24-1521-2024,https://doi.org/10.5194/nhess-24-1521-2024, 2024
Short summary
Modeling of indoor 222Rn in data-scarce regions: an interactive dashboard approach for Bogotá, Colombia
Martín Domínguez Durán, María Angélica Sandoval Garzón, and Carme Huguet
Nat. Hazards Earth Syst. Sci., 24, 1319–1339, https://doi.org/10.5194/nhess-24-1319-2024,https://doi.org/10.5194/nhess-24-1319-2024, 2024
Short summary
A regional early warning for slushflow hazard
Monica Sund, Heidi A. Grønsten, and Siv Å. Seljesæter
Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024,https://doi.org/10.5194/nhess-24-1185-2024, 2024
Short summary
A new approach for drought index adjustment to clay-shrinkage-induced subsidence over France: advantages of the interactive leaf area index
Sophie Barthelemy, Bertrand Bonan, Jean-Christophe Calvet, Gilles Grandjean, David Moncoulon, Dorothée Kapsambelis, and Séverine Bernardie
Nat. Hazards Earth Syst. Sci., 24, 999–1016, https://doi.org/10.5194/nhess-24-999-2024,https://doi.org/10.5194/nhess-24-999-2024, 2024
Short summary

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
Download
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.
Altmetrics
Final-revised paper
Preprint