IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v100y2020i3d10.1007_s11069-020-03856-6.html
   My bibliography  Save this article

Optimizing the location of aerial resources to combat wildfires: a case study of Portugal

Author

Listed:
  • João António Zeferino

    (Research Centre for Territory, Transports and Environment)

Abstract

Wildfires are becoming larger and more severe in different regions of the world as a result of climate change. A successful wildfire response requires a strong initial attack to extinguish the occurrence in a short time while it is of small dimensions, followed by an extended attack when it remains active after a certain period of time. In this sense, the aerial firefighting resources play a preponderant role. Aerial resources move quickly to a theater of operations carrying a large amount of water, but their efficacy depends on their good location. In this study, a decision support model was developed to find optimal solutions for the location of aerial resources to combat wildfires. The optimization model aims to maximize the expected coverage both in terms of initial and extended attack. It takes into account the characteristics of the aircraft available, and the levels of fire hazard in the different areas of a given region. The practical applicability of the methodology was validated through a case study of Portugal. The results suggest that there is potential for improving the existing location of aerial resources defined by the administration. The developed methodology showed good prospects for application in any region in the world where wildfire hazards need to be mitigated.

Suggested Citation

  • João António Zeferino, 2020. "Optimizing the location of aerial resources to combat wildfires: a case study of Portugal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(3), pages 1195-1213, February.
  • Handle: RePEc:spr:nathaz:v:100:y:2020:i:3:d:10.1007_s11069-020-03856-6
    DOI: 10.1007/s11069-020-03856-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-020-03856-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-020-03856-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. F. Ferreira-Leite & A. Bento-Gonçalves & A. Vieira & A. Nunes & L. Lourenço, 2016. "Incidence and recurrence of large forest fires in mainland Portugal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1035-1053, November.
    2. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
    3. Shruti Sachdeva & Tarunpreet Bhatia & A. K. Verma, 2018. "GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1399-1418, July.
    4. Krarup, Jakob & Pruzan, Peter Mark, 1983. "The simple plant location problem: Survey and synthesis," European Journal of Operational Research, Elsevier, vol. 12(1), pages 36-57, January.
    5. Laura McLay, 2009. "A maximum expected covering location model with two types of servers," IISE Transactions, Taylor & Francis Journals, vol. 41(8), pages 730-741.
    6. Barbaros C. Tansel & Richard L. Francis & Timothy J. Lowe, 1983. "State of the Art---Location on Networks: A Survey. Part II: Exploiting Tree Network Structure," Management Science, INFORMS, vol. 29(4), pages 498-511, April.
    7. S. L. Hakimi, 1964. "Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph," Operations Research, INFORMS, vol. 12(3), pages 450-459, June.
    8. Barbaros C. Tansel & Richard L. Francis & Timothy J. Lowe, 1983. "State of the Art---Location on Networks: A Survey. Part I: The p-Center and p-Median Problems," Management Science, INFORMS, vol. 29(4), pages 482-497, April.
    9. Marj Tonini & Mário Gonzalez Pereira & Joana Parente & Carmen Vega Orozco, 2017. "Evolution of forest fires in Portugal: from spatio-temporal point events to smoothed density maps," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(3), pages 1489-1510, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peeters, Peter H., 1998. "Some new algorithms for location problems on networks," European Journal of Operational Research, Elsevier, vol. 104(2), pages 299-309, January.
    2. Owen, Susan Hesse & Daskin, Mark S., 1998. "Strategic facility location: A review," European Journal of Operational Research, Elsevier, vol. 111(3), pages 423-447, December.
    3. Mark S. Daskin, 2008. "What you should know about location modeling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(4), pages 283-294, June.
    4. Wang, Wei & Wu, Shining & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2021. "Emergency facility location problems in logistics: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    5. Eliş, Haluk & Tansel, Barbaros & Oğuz, Osman & Güney, Mesut & Kian, Ramez, 2021. "On guarding real terrains: The terrain guarding and the blocking path problems," Omega, Elsevier, vol. 102(C).
    6. Jiwon Baik & Alan T. Murray, 2022. "Locating a facility to simultaneously address access and coverage goals," Papers in Regional Science, Wiley Blackwell, vol. 101(5), pages 1199-1217, October.
    7. Fadda, Edoardo & Manerba, Daniele & Cabodi, Gianpiero & Camurati, Paolo Enrico & Tadei, Roberto, 2021. "Comparative analysis of models and performance indicators for optimal service facility location," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    8. Khachatryan, Hayk & Jessup, Eric & Casavant, Kenneth, 2010. "A GIS-based Estimation of Regional Biomass Supply and Transportation Costs for Biofuel Plant Least-Cost Location Decisions," 51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010 207816, Transportation Research Forum.
    9. Nelas, José & Dias, Joana, 2020. "Optimal Emergency Vehicles Location: An approach considering the hierarchy and substitutability of resources," European Journal of Operational Research, Elsevier, vol. 287(2), pages 583-599.
    10. Berman, Oded & Krass, Dmitry & Menezes, Mozart B.C., 2016. "Directed assignment vs. customer choice in location inventory models," International Journal of Production Economics, Elsevier, vol. 179(C), pages 179-191.
    11. Shulin Wang & Shanhua Wu, 2023. "Optimizing the Location of Virtual-Shopping-Experience Stores Based on the Minimum Impact on Urban Traffic," Sustainability, MDPI, vol. 15(13), pages 1-25, June.
    12. Oded Berman & Dmitry Krass & Mozart B. C. Menezes, 2007. "Facility Reliability Issues in Network p -Median Problems: Strategic Centralization and Co-Location Effects," Operations Research, INFORMS, vol. 55(2), pages 332-350, April.
    13. Widener, Michael J. & Horner, Mark W., 2011. "A hierarchical approach to modeling hurricane disaster relief goods distribution," Journal of Transport Geography, Elsevier, vol. 19(4), pages 821-828.
    14. Soovin Yoon & Laura A. Albert, 2018. "An expected coverage model with a cutoff priority queue," Health Care Management Science, Springer, vol. 21(4), pages 517-533, December.
    15. Mingjian Wu & Tae J. Kwon & Karim El-Basyouny, 2020. "A Citywide Location-Allocation Framework for Driver Feedback Signs: Optimizing Safety and Coverage of Vulnerable Road Users," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    16. Rolland, Erik & Schilling, David A. & Current, John R., 1997. "An efficient tabu search procedure for the p-Median Problem," European Journal of Operational Research, Elsevier, vol. 96(2), pages 329-342, January.
    17. Zhi-Chun Li & Qian Liu, 2020. "Optimal deployment of emergency rescue stations in an urban transportation corridor," Transportation, Springer, vol. 47(1), pages 445-473, February.
    18. Yoon, Soovin & Albert, Laura A., 2021. "Dynamic dispatch policies for emergency response with multiple types of vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    19. Comber, Alexis & Dickie, Jennifer & Jarvis, Claire & Phillips, Martin & Tansey, Kevin, 2015. "Locating bioenergy facilities using a modified GIS-based location–allocation-algorithm: Considering the spatial distribution of resource supply," Applied Energy, Elsevier, vol. 154(C), pages 309-316.
    20. Drexl, Andreas & Klose, Andreas, 2001. "Facility location models for distribution system design," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 546, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

    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:nathaz:v:100:y:2020:i:3:d:10.1007_s11069-020-03856-6. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.