An optimization model to prioritize fuel treatments within a landscape fuel break network.
We present a mixed integer programming model for prioritizing fuel treatments within a landscape fuel break network to maximize protection against wildfires, measured by the total fire size reduction or the sum of Wildland Urban Interface areas avoided from burning. This model uses a large dataset o...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0313591 |
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| _version_ | 1849772949583691776 |
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| author | Dung Nguyen Yu Wei Erin J Belval Matthew P Thompson Benjamin M Gannon Jesse D Young Christopher D O'Connor David E Calkin |
| author_facet | Dung Nguyen Yu Wei Erin J Belval Matthew P Thompson Benjamin M Gannon Jesse D Young Christopher D O'Connor David E Calkin |
| author_sort | Dung Nguyen |
| collection | DOAJ |
| description | We present a mixed integer programming model for prioritizing fuel treatments within a landscape fuel break network to maximize protection against wildfires, measured by the total fire size reduction or the sum of Wildland Urban Interface areas avoided from burning. This model uses a large dataset of simulated wildfires in a large landscape to inform fuel break treatment decisions. Its mathematical formulation is concise and computationally efficient, allowing for customization and expansion to address more complex and challenging fuel break management problems in diverse landscapes. We constructed test cases for Southern California of the United States to understand model outcomes across a wide range of fire and fuel management scenarios. Results suggest optimal fuel treatment layouts within the Southern California's fuel break network responding to various model assumptions, which offer insights for regional fuel break planning. Comparative tests between the proposed optimization model and a rule-based simulation approach indicate that the optimization model can provide significantly better solutions within reasonable solving times, highlighting its potential to support fuel break management and planning decisions. |
| format | Article |
| id | doaj-art-137b8dc419144891a8a6f862027fdcdb |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-137b8dc419144891a8a6f862027fdcdb2025-08-20T03:02:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912e031359110.1371/journal.pone.0313591An optimization model to prioritize fuel treatments within a landscape fuel break network.Dung NguyenYu WeiErin J BelvalMatthew P ThompsonBenjamin M GannonJesse D YoungChristopher D O'ConnorDavid E CalkinWe present a mixed integer programming model for prioritizing fuel treatments within a landscape fuel break network to maximize protection against wildfires, measured by the total fire size reduction or the sum of Wildland Urban Interface areas avoided from burning. This model uses a large dataset of simulated wildfires in a large landscape to inform fuel break treatment decisions. Its mathematical formulation is concise and computationally efficient, allowing for customization and expansion to address more complex and challenging fuel break management problems in diverse landscapes. We constructed test cases for Southern California of the United States to understand model outcomes across a wide range of fire and fuel management scenarios. Results suggest optimal fuel treatment layouts within the Southern California's fuel break network responding to various model assumptions, which offer insights for regional fuel break planning. Comparative tests between the proposed optimization model and a rule-based simulation approach indicate that the optimization model can provide significantly better solutions within reasonable solving times, highlighting its potential to support fuel break management and planning decisions.https://doi.org/10.1371/journal.pone.0313591 |
| spellingShingle | Dung Nguyen Yu Wei Erin J Belval Matthew P Thompson Benjamin M Gannon Jesse D Young Christopher D O'Connor David E Calkin An optimization model to prioritize fuel treatments within a landscape fuel break network. PLoS ONE |
| title | An optimization model to prioritize fuel treatments within a landscape fuel break network. |
| title_full | An optimization model to prioritize fuel treatments within a landscape fuel break network. |
| title_fullStr | An optimization model to prioritize fuel treatments within a landscape fuel break network. |
| title_full_unstemmed | An optimization model to prioritize fuel treatments within a landscape fuel break network. |
| title_short | An optimization model to prioritize fuel treatments within a landscape fuel break network. |
| title_sort | optimization model to prioritize fuel treatments within a landscape fuel break network |
| url | https://doi.org/10.1371/journal.pone.0313591 |
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