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Time-clustering analysis of forest-fire sequences in southern Italy

Academic Article
Publication Date:
2005
abstract:
The investigation of the dynamics of forest-fires is becoming one of the most important scientific challenges in the field of the environmental studies. Time-fractal approaches have been used to characterize the temporal distribution of forest-fire sequences detected in southern Italy. Our findings reveal that the point process modelling the fire sequence can be considered as a fractal process with a high degree of clusterization of the events.
Iris type:
01.01 Articolo in rivista
Keywords:
SELF-ORGANIZED CRITICALITY; STOCHASTIC POINT-PROCESSES
List of contributors:
Telesca, Luciano; Lasaponara, Rosa
Authors of the University:
LASAPONARA ROSA
TELESCA LUCIANO
Handle:
https://iris.cnr.it/handle/20.500.14243/22878
Published in:
CHAOS, SOLITONS AND FRACTALS
Journal
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