IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v77y2015i2p1013-1035.html
   My bibliography  Save this article

Coupled fire–atmosphere modeling of wildland fire spread using DEVS-FIRE and ARPS

Author

Listed:
  • Nathan Dahl
  • Haidong Xue
  • Xiaolin Hu
  • Ming Xue

Abstract

This article introduces a new wildland fire spread prediction system consisting of the raster-based Discrete Event System Specification Fire model (DEVS-FIRE) and the Advanced Regional Prediction System atmospheric model (ARPS). Fire–atmosphere feedbacks are represented by transferring heat from DEVS-FIRE to ARPS as an externally forced set of surface fluxes and mapping the resulting changes in near-surface wind from ARPS to DEVS-FIRE. A preliminary evaluation of the performance of this coupled model is performed through idealized tests and an examination of the September 2000 Moore Branch Fire; the results conform well with those of other coupled models and are superior to those produced by the uncoupled DEVS-FIRE model, motivating further investigation. Copyright US Government 2015

Suggested Citation

  • Nathan Dahl & Haidong Xue & Xiaolin Hu & Ming Xue, 2015. "Coupled fire–atmosphere modeling of wildland fire spread using DEVS-FIRE and ARPS," 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. 77(2), pages 1013-1035, June.
    • Handle: RePEc:spr:nathaz:v:77:y:2015:i:2:p:1013-1035
    DOI: 10.1007/s11069-015-1640-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-015-1640-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-015-1640-y?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huan Cao & Tian Li & Shuxia Li & Tijun Fan, 2017. "An integrated emergency response model for toxic gas release accidents based on cellular automata," Annals of Operations Research, Springer, vol. 255(1), pages 617-638, August.

    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:77:y:2015:i:2:p:1013-1035. 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.