DocumentCode :
1332875
Title :
Cellular-automata models applied to natural hazards
Author :
Malamud, Bruce D. ; Turcotte, Donald L.
Author_Institution :
Cornell Univ., Ithaca, NY, USA
Volume :
2
Issue :
3
fYear :
2000
Firstpage :
42
Lastpage :
51
Abstract :
The concept of self-organized criticality evolved from studies of three simple cellular automata models: the forest-fire, slider-block, and sandpile models. Each model is associated with natural hazards which have frequency-size statistics that are well approximated by power law distributions. These distributions have important implications for probabilistic hazard assessments
Keywords :
cellular automata; digital simulation; disasters; physics computing; statistical analysis; cellular automata models; forest-fire; frequency-size statistics; natural hazards; power law distributions; probabilistic hazard assessments; sandpile model; self-organized criticality; slider-block; statistical physics; Elasticity; Equations; Fires; Frequency estimation; Geophysics computing; Hazards; Nearest neighbor searches; Physics; Power system modeling; Statistical distributions;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/5992.841795
Filename :
841795
Link To Document :
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