IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-032-03108-2_10.html

A Robust Approach for the Prepositioning of Resources for Wildfire Suppression

In: Advances in Optimization and Wildfire

Author

Listed:
  • Francisco Marques

    (University of Aveiro)

  • Agostinho Agra

    (Universidade de Lisboa, Departamento de Ciências Matemáticas and Centro de Estudos Matemáticos (CEMS.UL), Faculdade de Ciências)

  • Helena Alvelos

    (University of Aveiro, Department of Economics, Management, Industrial Engineering and Tourism/Center for Research and Development in Mathematics and Applications)

  • Ana Raquel Xambre

    (University of Aveiro, Department of Economics, Management, Industrial Engineering and Tourism/Center for Research and Development in Mathematics and Applications)

  • Filipe Alvelos

    (University of Minho, Department of Production and Systems/ALGORITMI Research Center/LASI, School of Engineering)

Abstract

We consider the problem of prepositioning a set of firefighting resources for wildfire suppression. As wildfires are highly affected by uncertainty we devise a two-stage model where the prepositioning of resources are first-stage decisions and the movement of these resources after the fire ignitions are known are the second-stage decisions. We use the minimum travel time principle and mixed integer programming to model the fire spread in the landscape and decisions related to the prepositioning of resources and their movement to attack positions. To model uncertainty we use robust optimization based on a discrete set of scenarios which represent ignition locations, wind speed and directions. As the size of the model grows considerably with the number of scenarios, a row-and-column decomposition algorithm is proposed. Computational experiments based on an actual landscape are reported showing the efficiency of the decomposition algorithm.

Suggested Citation

  • Francisco Marques & Agostinho Agra & Helena Alvelos & Ana Raquel Xambre & Filipe Alvelos, 2026. "A Robust Approach for the Prepositioning of Resources for Wildfire Suppression," Lecture Notes in Operations Research, in: Filipe Alvelos & Isabel Martins & Ana Maria A. C. Rocha (ed.), Advances in Optimization and Wildfire, pages 155-168, Springer.
    • Handle: RePEc:spr:lnopch:978-3-032-03108-2_10
    DOI: 10.1007/978-3-032-03108-2_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnopch:978-3-032-03108-2_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.