Wildfire Management: An Operational Research Perspective
David L. Martell ()
Additional contact information
David L. Martell: University of Toronto, Institute of Forestry and Conservation, John H. Daniels Faculty of Architecture, Landscape and Design
A chapter in Advances in Optimization and Wildfire, 2026, pp 169-182 from Springer
Abstract:
Abstract This paper is based on a talk delivered at the 2024 Optimization and Wildfire Conference in Luso, Portugal, on October 2, 2024, during which I characterized forest and wildland fire management from an operational research perspective. I present a brief description of fire management as it is practiced in the province of Ontario, Canada, and focus on how aircraft are used to detect and suppress wildfires there. I then describe how my colleagues and I are developing an aerial detection probability model and daily airtanker deployment models. I briefly describe what I consider to be three important current and emerging problems that I believe operational researchers can help resolve, and conclude by stressing the importance of close collaboration between researchers and wildfire managers when they do so.
Keywords: Wildfire management; Operational research; Daily airtanker deployment; Queueing models; Aerial detection planning; Detection probability (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-032-03108-2_11
Ordering information: This item can be ordered from
http://www.springer.com/9783032031082
DOI: 10.1007/978-3-032-03108-2_11
Access Statistics for this chapter
More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().