Wildfire initial response planning using probabilistically constrained stochastic integer programming

Arrubla, Julian A. Gallego; Ntaimo, Lewis; Stripling, Curt

doi:10.1071/wf13204

Cited by 26 publications

(3 citation statements)

References 26 publications

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“…Recent work has proposed multiple strategies, including: (i) replacement of the species mix to less flammable natives ( 80 ), (ii) ecological vegetation management in high-risk areas such as by utility companies on lands near power lines ( 81 ), and (iii) conversion to low-growing succulents, irrigated agriculture ( 20 ), or other green firebreaks ( 82 ). In addition to preconstructed firebreaks, firefighting techniques incorporate the creation of bulldozer lines during initial attack ( 83 ). However, each of these strategies imposes up-front and ongoing costs.…”

Section: Discussionmentioning

confidence: 99%

Edible fire buffers: Mitigation of wildfire with multifunctional landscapes

Fu,

Lidar,

Kantar

et al. 2023

PNAS Nexus

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Wildfires ravage lands in seasonally dry regions, imposing high costs on infrastructure maintenance and human habitation at the wildland–urban interface. Current fire mitigation approaches present upfront costs with uncertain long-term payoffs. We show that a new landscape intervention on human-managed wildlands—buffers of a low-flammability crop species such as banana irrigated using recycled water—can mitigate wildfires and produce food profitably. This new intervention can complement existing fire mitigation approaches. Recreating a recent, major fire in simulation, we find that a medium-sized (633 m) banana buffer decreases fireline intensity by 96%, similar to the combination of prescribed burns and mechanical thinning, and delays the fire by 316 min, enabling safer and more effective firefighting. We find that under climate change, despite worsened fires, banana buffers will still have a protective effect. We also find that banana buffers with average yield could produce a profit of $56k USD/hectare through fruit sales, in addition to fire mitigation.

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Section: Discussionmentioning

confidence: 99%

Edible fire buffers: Mitigation of wildfire with multifunctional landscapes

Fu,

Lidar,

Kantar

et al. 2023

PNAS Nexus

View full text Add to dashboard Cite

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“…The disposition of human and material resources has been studied from different perspectives and using different calculation techniques [57][58][59][60][61][62]. Most of these studies start from the concrete characteristics of the region studied, the particular circumstances of wildfires, their causes of ignition and propagation, as well as their local consequences.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Wildfire Decomposition as a Tool for Assessment and Planning of an Efficient Forest Policy in Galicia (Spain)

Pernas

Jannes

2020

Forests

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Wildfires in Galicia have various temporal and spatial trends. This temporal and spatial behavior must therefore be studied and taken into account in order to design more efficient forest policies. Since both factors are inhomogeneous, it was proposed to study them using a Gini index decomposition. The number of fires and the affected forest area were studied in terms of the months and the forest districts, which serve as basic temporal and spatial elements. The objective of this methodology is to know the months in which the fires are most concentrated throughout the administrative geographical districts of the various provinces of Galicia, and the elasticity of each month with respect to the global concentration. It is also used to know the temporal inequality in each forest district of Galicia and its contribution to the global index. To apply this methodology, monthly data are taken from 2006 to 2015 for each of the Galician forest districts. It is found that there is a high spatial concentration of fires in the autumn and winter months, and a much lower one in the remaining months. On the other hand, most districts register a great temporal inequality in the occurrence of fires. Tentative suggestions of how the forest policy in Galicia could be improved by taking into account both these spatial and temporal patterns are discussed.

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“…(Hu & Ntaimo, 2009). Based on historical data, Arrubla, Ntaimo, and Stripling set up an integer programming model to plan initial responses (Arrubla, Ntaimo, & Stripling, 2014).…”

Section: Resource Allocation and Cost Minimization In Wildfiresmentioning

confidence: 99%

A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation

Zhou

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Wildland-urban interface wildfires have been a significant threat in many countries. This thesis presents an integer two-stage stochastic goal programming model for comprehensive, efficient response to wildfire including firefighting resource allocation and resident evacuation. In contrast to other natural disasters, the progression of wildfires depends on not only the probabilistic fire spread scenarios but also decisions made during firefighting. The proposed model optimizes the resource preparations before the fire starts and resource allocation decisions during the fire event. This model takes into account different wildfire spread scenarios and their impact on high-risk areas. The two objectives considered are minimizing the total cost of operations and property loss and minimizing the number of people at risk to be evacuated. A case study based on Santa Clara County in California, United States of America, is presented to demonstrate the model performance. Quantitative experiments show that this model can help to find efficient solutions by considering a trade-off between two objectives, and varying cell size based on scenarios reduces problem dimension and improves solution time. v ACKNOWLEDGMENTS The completion of this thesis is a result of the support of many people. First, I would like to express my deep and sincere gratitude to Prof. Ayca Erdogan, my thesis advisor. For many times, I felt lost in choosing a suitable direction to continue with my thesis and I realized that challenges came out one after another. Prof. Erdogan always listened to my ideas patiently and figured out key issues. Even if sometimes we touched to an unfamiliar field to both of us, Prof. Erdogan encouraged me to keep reading advanced papers and try to solve problems independently. All her advising and encouragement made me move ahead and keep growing as a beginner in research. Second, I would like to thank Prof. Jacob Tsao, who gave me a lot of useful suggestions about career development and academic direction. In addition, Prof. Tsao made me more confident in myself through his encouragements. Also, I want to thank Prof. Yasser Dessouky, who is an excellent lecturer and taught me systematic thinking in his class. I was encouraged by his lecture to start with this thesis. I also would like to thank Dee King Raub from Santa Clara County Fire Department for providing valuable information of WUI wildfire containment efforts. Lastly, I would like to thank my husband, Yu Ni. When I felt confused about the uncertain future, he always stands by me and encourages me to make efforts toward my career goal. It's impossible to finish this thesis without his continued support. Also, thanks Hongyao Ma and Fenfei Guo for their encouragement on my research work. vi

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Wildfire initial response planning using probabilistically constrained stochastic integer programming

Cited by 26 publications

References 26 publications

Edible fire buffers: Mitigation of wildfire with multifunctional landscapes

Edible fire buffers: Mitigation of wildfire with multifunctional landscapes

Spatial and Temporal Wildfire Decomposition as a Tool for Assessment and Planning of an Efficient Forest Policy in Galicia (Spain)

A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation

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