An improved cellular automaton model for simulating fire in a spatially heterogeneous Savanna system

Developments in and around game reserves and ranches in South Africa have led to controlled burning becoming a necessary and regular activity. The management objectives of these fires are well-defined, and thus predicting the duration and extent of a burn is vitally important. Testing scenarios via computer simulation is desirable since this removes the potential risks associated with fire, whilst at the same time ensuring that management policies are attained. There are various approaches to developing a spatial simulation fire model. In this article we present a cellular automaton (CA) model that is capable of predicting fire spread in spatially heterogeneous Savanna systems. The physical basis of Rothermel’s fire spread model (1972) was modified to a spatial context and used to improve the CA model introduced by Karafyllidis and Thanailakis (1997). The proposed fire model was verified using data for three human-induced fires in the Mkuze Game Reserve, South Africa, and was found to satisfactorily predict spatial fire behaviour. © 2002 Elsevier Science B.V. All rights reserved.

[1]  F. Albini,et al.  A model for the wind-blown flame from a line fire , 1981 .

[2]  Abbott A. Putnam,et al.  A model study of wind-blown free-burning fires , 1965 .

[3]  Carl W. Adkins,et al.  Flame characteristics of wind-driven surface fires , 1986 .

[4]  Ioannis G. Karafyllidis,et al.  A model for predicting forest fire spreading using cellular automata , 1997 .

[5]  W. Trollope,et al.  Fire in Savanna , 1984 .

[6]  W. Hargrove,et al.  Simulating fire patterns in heterogeneous landscapes , 2000 .

[7]  Russell G. Congalton,et al.  Mapping old growth forests on National Forest and Park Lands in the Pacific Northwest from remotely sensed data , 1993 .

[8]  Carl W. Adkins,et al.  A dimensionless correlation for the spread of wind-driven fires , 1988 .

[9]  Kenneth P. Davis.  Forest Fire: Control and Use , 1959 .

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

[11]  R. Burgan,et al.  BEHAVE : Fire Behavior Prediction and Fuel Modeling System -- FUEL Subsystem , 1984 .

[12]  P. H. Kourtz,et al.  A Model a Small Forest Fire ... to Simulate Burned and Burning Areas for Use in a Detection Model , 1971 .

[13]  Commonwealth Scientific,et al.  Bushfires in Australia , 1986 .

[14]  David J. Mladenoff,et al.  Mechanistic modeling of landscape fire patterns. , 1999 .

[15]  R. H. Groves,et al.  Fire and the Australian biota , 1981 .

[16]  D. Weise,et al.  Effects of wind velocity and slope on flame properties , 1996 .

[17]  J. Schwartz,et al.  Theory of Self-Reproducing Automata , 1967 .

[18]  John von Neumann,et al.  Theory Of Self Reproducing Automata , 1967 .

[19]  N. M. Tainton,et al.  Ecological Effects of Fire in South African Ecosystems , 1984, Ecological Studies.

[20]  B. W. Wilgen,et al.  Fire and Plants , 1995, Population and Community Biology Series.

[21]  K. Clarke,et al.  A Cellular Automaton Model of Wildfire Propagation and Extinction , 1994 .

[22]  Gregory S. Biging,et al.  A Qualitative Comparison of Fire Spread Models Incorporating Wind and Slope Effects , 1997, Forest Science.

[23]  Jeff Campbell,et al.  FIRE! Using GIS to Predict Fire Behavior , 1995 .

[24]  W. Fons,et al.  Analysis of Fire Spread in Light Forest Fuels , 1946 .

[25]  William J. Ripple,et al.  The role of terrain in a fire mosaic of a temperate coniferous forest , 1997 .

[26]  W. Trollope,et al.  Fire behaviour – A preliminary study , 1978 .