Skip to Main Content
A mixed integer program to model spatial wildfire behavior and suppression placement decisionsAuthor(s): Erin J. Belval; Yu Wei; Michael. Bevers
Source: Canadian Journal of Forest Research. 45: 384-393.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
View PDF (224.39 KB)
DescriptionWildfire suppression combines multiple objectives and dynamic fire behavior to form a complex problem for decision makers. This paper presents a mixed integer program designed to explore integrating spatial fire behavior and suppression placement decisions into a mathematical programming framework. Fire behavior and suppression placement decisions are modeled using nodes associated with cell centers from raster landscapes. The nodes at which suppression is located are determined by control variables. Response variables include fire spread paths, arrival times, and fireline intensities for each node. Both fire arrival times and fireline intensities are necessary to address ecological objectives and fire control. Test cases for this model provide examples of fire behavior interacting with suppression placement to achieve multiple objectives.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationBelval, Erin J.; Wei, Yu; Bevers, Michael. 2015. A mixed integer program to model spatial wildfire behavior and suppression placement decisions. Canadian Journal of Forest Research. 45: 384-393.
Keywordswildfire growth, wildfire suppression, optimization, fireline intensity
- Fire behavior, fuel treatments, and fire suppression on the Hayman Fire - Part 4: Relation of roads to burn severity
- Fighting fire with fire: estimating the efficacy of wildfire mitigation programs using propensity scores
- Strategic Placement of Treatments (SPOTS): Maximizing the Effectiveness of Fuel and Vegetation Treatments on Problem Fire Behavior and Effects
XML: View XML