Investigating the time dynamics of forest-fires is a challenge in the environmental sciences. Time-scaling scale-invariant approaches have been used to characterize the temporal distribution of forest-fire sequence detected in Gargano area (southern Italy), which is characterized by high level of wildfire density. Our findings reveal that the point process of the fire sequence can be considered as a fractal process with a high degree of time-clusterization of the events. The time-clustering phenomenon is visible from timescales of order of few days. Furthermore, the fire process tends to be less time-clusterized with the increase of the burned area.

Time-scaling properties in forest-fire sequences observed in Gargano area (southern Italy)

Telesca L;Lasaponara R;
2005

Abstract

Investigating the time dynamics of forest-fires is a challenge in the environmental sciences. Time-scaling scale-invariant approaches have been used to characterize the temporal distribution of forest-fire sequence detected in Gargano area (southern Italy), which is characterized by high level of wildfire density. Our findings reveal that the point process of the fire sequence can be considered as a fractal process with a high degree of time-clusterization of the events. The time-clustering phenomenon is visible from timescales of order of few days. Furthermore, the fire process tends to be less time-clusterized with the increase of the burned area.
2005
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Forest-fire
Clustering
Power spectrum
Allan factor
Fano factor
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/22888
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