NDLI: Experimental Procedures Characterising Firebrand Generation in Wildland Fires

Content Provider	Springer Nature Link
Author	El Houssami, Mohamad Mueller, Eric Filkov, Alexander Thomas, Jan C. Skowronski, Nicholas Gallagher, Michael R. Clark, Kenneth Kremens, Robert Simeoni, Albert
Copyright Year	2015
Abstract	This study aims to develop a series of robust and efficient methodologies, which can be applied to understand and estimate firebrand generation and to evaluate firebrand showers close to a fire front. A field scale high intensity prescribed fire was conducted in the New Jersey Pine Barrens in March 2013. Vegetation was characterised with field and remotely sensed data, fire spread and intensity was characterised and meteorological conditions were monitored before and during the burn. Firebrands were collected from different locations in the forest and analysed for mass and size distribution. The majority were found to be bark slices (more than 70%) with substantial amounts of pine and shrub twigs. Shrub layer consumption was evaluated to supplement the firebrand generation study. Bark consumption was studied by measuring the circumference variation at several heights on each of three different pine trees. The variation was in the same order of magnitude as the bark thickness (1–5 mm). Testing and improving the protocol can facilitate the collection of compatible data in a wide range of ecosystems and fire environments, aiding in the development of solutions to prevent structural ignition at the Wildland Urban Interface.
Starting Page	731
Ending Page	751
Page Count	21
File Format	PDF
ISSN	00152684
Journal	Fire Technology
Volume Number	52
Issue Number	3
e-ISSN	15728099
Language	English
Publisher	Springer US
Publisher Date	2015-05-12
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Firebrands Generation Pine forest Civil Engineering Mechanics Characterization and Evaluation of Materials Physics
Content Type	Text
Resource Type	Article
Subject	Materials Science Safety, Risk, Reliability and Quality

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