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An attacker-defender model for analyzing the vulnerability of initial attack in wildfire suppression

Author(s): Eghbal Rashidi, Hugh R. Medal, Aaron Hoskins
Year Published: 2018
Description:

Wildfire managers use initial attack (IA) to control wildfires before they grow large and become difficult to suppress. Although the majority of wildfire incidents are contained by IA, the small percentage of fires that escape IA causes most of the damage. Therefore, planning a successful IA is very important. In this article, we study the vulnerability of IA in wildfire suppression using an attacker‐defender Stackelberg model. The attacker's objective is to coordinate the simultaneous ignition of fires at various points in a landscape to maximize the number of fires that cannot be contained by IA. The defender's objective is to optimally dispatch suppression resources from multiple fire stations located across the landscape to minimize the number of wildfires not contained by IA. We use a decomposition algorithm to solve the model and apply the model on a test case landscape. We also investigate the impact of delay in the response, the fire growth rate, the amount of suppression resources, and the locations of fire stations on the success of IA.

Citation: Rashidi, Eghbal; Medal, Hugh R.; Hoskins, Aaron. 2018. An attacker-defender model for analyzing the vulnerability of initial attack in wildfire suppression. Naval Research Logistics online early
Topic(s): Fire Behavior, Human Dimensions of Fire Management, Organizational Effectiveness
Ecosystem(s): None
Document Type: Book or Chapter or Journal Article
NRFSN number: 17925
FRAMES RCS number: 56146
Record updated: Nov 8, 2018