The spacetime fractality of the forest-fire sequence (19972003) occurred in the Tuscany Region (central Italy), one of the most vulnerable to wildfires in Italy, has been approached by using spatial and temporal fractal tools. The fractal exponent ±, estimated by the Fano factor method, characterises the time-clustering behaviour of the set of fires, while the correlation dimension Dc, calculated by means of the correlation integral method, gives information on the space-clustering behaviour of the sequence of fires. We found that (i) the investigated fire set is globally characterized by spacetime clustering behaviour; (ii) ± and Dc decreases and increases, respectively with the increase of the threshold size of burned area; (iii) the time variation of ± shows a tendency towards Poissonian processes in correspondence of the largest events.
Space time fractal properties of the forest-fire series in central Italy
Telesca L;Lasaponara R;
2007
Abstract
The spacetime fractality of the forest-fire sequence (19972003) occurred in the Tuscany Region (central Italy), one of the most vulnerable to wildfires in Italy, has been approached by using spatial and temporal fractal tools. The fractal exponent ±, estimated by the Fano factor method, characterises the time-clustering behaviour of the set of fires, while the correlation dimension Dc, calculated by means of the correlation integral method, gives information on the space-clustering behaviour of the sequence of fires. We found that (i) the investigated fire set is globally characterized by spacetime clustering behaviour; (ii) ± and Dc decreases and increases, respectively with the increase of the threshold size of burned area; (iii) the time variation of ± shows a tendency towards Poissonian processes in correspondence of the largest events.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.