Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA
Extreme spread events (ESEs), often characterized by high intensity and rapid rates of spread, can overwhelm fire suppression and emergency response capacity, threaten responder and public safety, damage landscapes and communities, and result in high socioeconomic costs and losses. Advances in remot...
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| Format: | Article |
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MDPI AG
2024-10-01
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| Series: | Fire |
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| Online Access: | https://www.mdpi.com/2571-6255/7/11/395 |
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| author | Matthew P. Thompson Dung Nguyen Christopher J. Moran Joe Scott Yu Wei Bryce Young |
| author_facet | Matthew P. Thompson Dung Nguyen Christopher J. Moran Joe Scott Yu Wei Bryce Young |
| author_sort | Matthew P. Thompson |
| collection | DOAJ |
| description | Extreme spread events (ESEs), often characterized by high intensity and rapid rates of spread, can overwhelm fire suppression and emergency response capacity, threaten responder and public safety, damage landscapes and communities, and result in high socioeconomic costs and losses. Advances in remote sensing and geospatial analysis provide an improved understanding of observed ESEs and their contributing factors; however, there is a need to improve anticipatory and predictive capabilities to better prepare, mitigate, and respond. Here, leveraging individual-fire day-of-arrival raster outputs from the FSim fire modeling system, we prototype and evaluate methods for the simulation and categorization of ESEs. We describe the analysis of simulation outputs on a case study landscape in Colorado, USA, summarize daily spread event characteristics, threshold and probabilistically benchmark ESEs, spatially depict ESE potential, and describe limitations, extensions, and potential applications of this work. Simulation results generally showed strong alignment with historical patterns of daily growth and the proportion of cumulative area burned in the western US and identified hotspots of high ESE potential. Continued analysis and simulation of ESEs will likely expand the horizon of uses and grow in salience as ESEs become more common. |
| format | Article |
| id | doaj-art-8cc5a7177e4a41738f56ff349263387c |
| institution | Kabale University |
| issn | 2571-6255 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fire |
| spelling | doaj-art-8cc5a7177e4a41738f56ff349263387c2024-11-26T18:03:45ZengMDPI AGFire2571-62552024-10-0171139510.3390/fire7110395Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USAMatthew P. Thompson0Dung Nguyen1Christopher J. Moran2Joe Scott3Yu Wei4Bryce Young5Pyrologix, Vibrant Planet, Missoula, MT 59802, USADepartment of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, CO 80523, USAPyrologix, Vibrant Planet, Missoula, MT 59802, USAPyrologix, Vibrant Planet, Missoula, MT 59802, USADepartment of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, CO 80523, USAPyrologix, Vibrant Planet, Missoula, MT 59802, USAExtreme spread events (ESEs), often characterized by high intensity and rapid rates of spread, can overwhelm fire suppression and emergency response capacity, threaten responder and public safety, damage landscapes and communities, and result in high socioeconomic costs and losses. Advances in remote sensing and geospatial analysis provide an improved understanding of observed ESEs and their contributing factors; however, there is a need to improve anticipatory and predictive capabilities to better prepare, mitigate, and respond. Here, leveraging individual-fire day-of-arrival raster outputs from the FSim fire modeling system, we prototype and evaluate methods for the simulation and categorization of ESEs. We describe the analysis of simulation outputs on a case study landscape in Colorado, USA, summarize daily spread event characteristics, threshold and probabilistically benchmark ESEs, spatially depict ESE potential, and describe limitations, extensions, and potential applications of this work. Simulation results generally showed strong alignment with historical patterns of daily growth and the proportion of cumulative area burned in the western US and identified hotspots of high ESE potential. Continued analysis and simulation of ESEs will likely expand the horizon of uses and grow in salience as ESEs become more common.https://www.mdpi.com/2571-6255/7/11/395wildfirehazardriskmodelingextreme spread events |
| spellingShingle | Matthew P. Thompson Dung Nguyen Christopher J. Moran Joe Scott Yu Wei Bryce Young Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA Fire wildfire hazard risk modeling extreme spread events |
| title | Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA |
| title_full | Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA |
| title_fullStr | Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA |
| title_full_unstemmed | Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA |
| title_short | Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA |
| title_sort | simulating daily large fire spread events in the northern front range colorado usa |
| topic | wildfire hazard risk modeling extreme spread events |
| url | https://www.mdpi.com/2571-6255/7/11/395 |
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