IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v392y2019icp103-107.html
   My bibliography  Save this article

Predicting fire spread and behaviour on the fireline. Wildfire analyst pocket: A mobile app for wildland fire prediction

Author

Listed:
  • Monedero, Santiago
  • Ramirez, Joaquin
  • Cardil, Adrián

Abstract

Accurately predicting fire spread and behaviour on the fireline, in the field, is highly important in order to prevent the loss of human life, improve the success of initial attack and better understand the potential fire behaviour, minimizing many risks for firefighters. We present the Wildfire Analyst™ Pocket Edition application (WFA Pocket), a mobile tool aimed to be used by the fire fighter community. It shows punctual fire characteristics and estimated progression based on user introduced input data in an intuitive 3D map interface in real-time, allowing the user to interactively change parameters and analyze how the fire behaviour changes in relation to the inputs. The mathematical models implemented are all well-known by the scientific community and reported in this article. The application has integrated GIS capabilities, can work online and offline, and can retrieve fuel, weather and canopy data from online servers for the georeferenced ignition point. We describe the background and model foundation of WFA Pocket as well as its system design and main features. We also evaluate its robustness of results and present a case study to show the potential use of this tool in the field. Limitations and assumptions in the use of the application as well as potential improvements for the future are discussed.

Suggested Citation

  • Monedero, Santiago & Ramirez, Joaquin & Cardil, Adrián, 2019. "Predicting fire spread and behaviour on the fireline. Wildfire analyst pocket: A mobile app for wildland fire prediction," Ecological Modelling, Elsevier, vol. 392(C), pages 103-107.
    • Handle: RePEc:eee:ecomod:v:392:y:2019:i:c:p:103-107
    DOI: 10.1016/j.ecolmodel.2018.11.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380018304046
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2018.11.016?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. Parsons, Russell A. & Mell, William E. & McCauley, Peter, 2011. "Linking 3D spatial models of fuels and fire: Effects of spatial heterogeneity on fire behavior," Ecological Modelling, Elsevier, vol. 222(3), pages 679-691.
    2. Muzy, A. & Nutaro, J.J. & Zeigler, B.P. & Coquillard, P., 2008. "Modeling and simulation of fire spreading through the activity tracking paradigm," Ecological Modelling, Elsevier, vol. 219(1), pages 212-225.
    3. Duncan, Brean W. & Schmalzer, Paul A. & Breininger, David R. & Stolen, Eric D., 2015. "Comparing fuels reduction and patch mosaic fire regimes for reducing fire spread potential: A spatial modeling approach," Ecological Modelling, Elsevier, vol. 314(C), pages 90-99.
    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. Hamed Adab & Kasturi Devi Kanniah & Karim Solaimani, 2021. "Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran," 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. 108(1), pages 253-283, August.
    2. Prince, Dallan R. & Fletcher, Marianne E. & Shen, Chen & Fletcher, Thomas H., 2014. "Application of L-systems to geometrical construction of chamise and juniper shrubs," Ecological Modelling, Elsevier, vol. 273(C), pages 86-95.
    3. Carlos Díaz‐Avalos & Pablo Juan, 2022. "Modeling the spatial evolution wildfires using random spread process," Environmetrics, John Wiley & Sons, Ltd., vol. 33(8), December.
    4. Russell A. Parsons & Rodman R. Linn & Francois Pimont & Chad Hoffman & Jeremy Sauer & Judith Winterkamp & Carolyn H. Sieg & W. Matt Jolly, 2017. "Numerical Investigation of Aggregated Fuel Spatial Pattern Impacts on Fire Behavior," Land, MDPI, vol. 6(2), pages 1-22, June.

    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:eee:ecomod:v:392:y:2019:i:c:p:103-107. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.