Difference between revisions of "Forest Fire Model"

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# An empty space fills with a tree with probability ''p''
 
# An empty space fills with a tree with probability ''p''
  
The controlling parameter of the model is ''p''/''f'' which gives the average number of trees planted between two lightning strikes (see Schenk et al. (1996) and [[Peter Grassberger | Grassberger]] (1993)).  In order to exhibit a [[fractal]] frequency-size distribution of clusters a double separation of time scales is necessary
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The controlling parameter of the model is ''p''/''f'' which gives the average number of trees planted between two lightning strikes .  In order to exhibit a fractal frequency-size distribution of clusters a double separation of time scales is necessary
  
 
:<math>f \ll p \ll T_\mathrm{smax}\,</math>
 
:<math>f \ll p \ll T_\mathrm{smax}\,</math>
  
where ''T''<sub>smax</sub> is the burn time of the largest cluster. The scaling behavior is not simple, however ([[Peter Grassberger | Grassberger]] 1993,2002 and Pruessner et al. 2002,2004).
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where ''T''<sub>smax</sub> is the burn time of the largest cluster.

Latest revision as of 22:13, 5 November 2012

A forest-fire model is any of a number of dynamical systems displaying self-organized criticality. The model of Drossel and Schwabl (1992) is defined by four rules which are executed simultaneously:

  1. A burning cell turns into an empty cell
  2. A tree will burn if at least one neighbor is burning
  3. A tree ignites with probability f even if no neighbor is burning
  4. An empty space fills with a tree with probability p

The controlling parameter of the model is p/f which gives the average number of trees planted between two lightning strikes . In order to exhibit a fractal frequency-size distribution of clusters a double separation of time scales is necessary

where Tsmax is the burn time of the largest cluster.