Setting Wildfire Evacuation Trigger Points Using Fire Spread Modeling and GIS

Warning communities in the path of an advancing wildfire is a challenging problem. Decision makers need the most current information available to determine who should evacuate, when they should leave and what type of order to issue (e.g. mandatory, recommended, voluntary). This paper presents a new method for delimiting wildfire evacuation trigger points using fire spread modeling and GIS. Using data on wind, topography, and fuel in conjunction with estimated evacuation time, a trigger buffer can be computed for a community whereby an evacuation is recommended if a fire crosses the edge of the buffer. A case study is presented for the Corral Canyon section of the 1996 Calabasas Fire near Malibu, California, USA. The paper concludes with a discussion of the strengths and weaknesses of this approach.

[1]  H. Anderson,et al.  Predicting wind-driven wild land fire size and shape / , 1983 .

[2]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[3]  J. E. Bossert.  Coupled atmosphere-fire behavior model sensitivity to spatial fuels characterization , 2000 .

[4]  M. Finney.  Fire growth using minimum travel time methods , 2002 .

[5]  Brian Wolshon,et al.  "One-way-out": contraflow freeway operation for hurricane evacuation , 2001 .

[6]  F. Southworth,et al.  Regional Evacuation Modeling: A State of the Art Reviewing , 1991 .

[7]  John H. Sorensen,et al.  Hazard Warning Systems: Review of 20 Years of Progress , 2000 .

[8]  Thomas J. Cova,et al.  Exploratory Map Animation for Post-Event Analysis of Wildfire Protective Action Recommendations , 2006 .

[9]  Judith Winterkamp,et al.  Studying wildfire behavior using FIRETEC , 2002 .

[10]  A. Troy,et al.  Application Challenges for Geographic Information Science: Implications for Research, Education, and Policy for Emergency Preparedness and Response , 1999 .

[11]  Thomas J. Cova,et al.  Exurban Change Detection in Fire-Prone Areas with Nighttime Satellite Imagery , 2004 .

[12]  M. Finney.  FARSITE : Fire Area Simulator : model development and evaluation , 1998 .

[13]  D. Roberts,et al.  Use of Normalized Difference Water Index for monitoring live fuel moisture , 2005 .

[14]  Susan L. Cutter,et al.  GI Science, Disasters, and Emergency Management , 2003, Trans. GIS.

[15]  F. A. Williams,et al.  Mechanisms of fire spread , 1977 .

[16]  C. E. Van Wagner,et al.  A Simple Fire-Growth Model , 1969 .

[17]  Richard L. Church,et al.  Modelling Community Evacuation Vulnerability Using GIS , 1997, Int. J. Geogr. Inf. Sci..

[18]  S. Shafer,et al.  The role of climate and vegetation change in shaping past and future fire regimes in the northwestern US and the implications for ecosystem management , 2003 .

[19]  Jon E. Keeley,et al.  Testing a basic assumption of shrubland fire management: how important is fuel age? , 2004 .

[20]  M. Goodchild,et al.  Uncertainty in geographical information , 2002 .

[21]  Thomas J. Cova,et al.  A network flow model for lane-based evacuation routing , 2003 .

[22]  H. Anderson.  Aids to Determining Fuel Models for Estimating Fire Behavior , 1982 .