Document


Title

Operational wildfire suppression modelling: a review evaluating development, state of the art and future directions
Document Type: Journal Article
Author(s): Thomas J. Duff; Kevin G. Tolhurst
Publication Year: 2015

Cataloging Information

Keyword(s):
  • Australia
  • bushfire
  • decision support system
  • FARSITE
  • fire cost
  • fire management
  • fire suppression
  • firefighting
  • forest
  • forest management
  • landscape management
  • literature review
  • management science
  • operational research
  • optimization
  • preparedness
  • wildfires
Record Maintained By:
Record Last Modified: June 29, 2019
FRAMES Record Number: 54155
Tall Timbers Record Number: 31792
TTRS Location Status: In-file
TTRS Call Number: Journals - I
TTRS Abstract Status: Fair use, Okay, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

Wildfires are an inherent part of the landscape in many parts of the world; however, they often impose substantial economic burdens on human populations where they occur, both in terms of impacts and of management costs. As wildfires burn towards human assets, a universal response has been to deploy fire suppression resources (crews, vehicles and aircraft) to extinguish them, and limit their spread or impacts. The determination of the appropriate levels of investment, resource allocation and suppression tactics is a challenge for managers. As suppression expenses account for a substantial proportion of the cost of fires, and escaped fires account for a large portion of impacts, fire suppression models have been developed to better inform decision-makers. We undertake a review of the literature pertaining to the development of operational models that emulate fire suppression as part of decision support systems. We provide a summary of the development of modelling approaches, discuss strengths and limitations and provide perspectives on the direction of future research.

Online Link(s):
Citation:
Duff, Thomas J.; Tolhurst, Kevin G. 2015. Operational wildfire suppression modelling: a review evaluating development, state of the art and future directions. International Journal of Wildland Fire 24(6):735-748.