Difference between revisions of "Forest Fire Model"

From Cohen Courses
Jump to navigationJump to search
(Created page with 'A '''forest-fire model''' is any of a number of dynamical systems displaying self-organized criticality. Note, however, that according to Pruessner et al. (2002, 2004) th…')
 
Line 1: Line 1:
A '''forest-fire model''' is any of a number of [[dynamical system]]s displaying [[self-organized criticality]]. Note, however, that according to Pruessner et al. (2002, 2004) the forest-fire model does not behave critically on very large, i.e. physically relevant scales. Early versions go back to Henley (1989) and Drossel and Schwabl (1992). The model is defined as a [[cellular automaton]] on a grid with ''L''<sup>''d''</sup> cells.  ''L'' is the sidelength of the grid and ''d'' is its dimension.  A cell can be empty, occupied by a tree, or burning.  The model of Drossel and Schwabl (1992) is defined by four rules which are executed simultaneously:
+
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:
  
 
# A burning cell turns into an empty cell
 
# A burning cell turns into an empty cell

Revision as of 23:12, 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 (see Schenk et al. (1996) and Grassberger (1993)). 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. The scaling behavior is not simple, however ( Grassberger 1993,2002 and Pruessner et al. 2002,2004).