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Analyzing seasonal patterns of wildfire exposure factors in Sardinia, Italy.

Academic Article
Publication Date:
2014
abstract:
In this paper, we applied landscape scale wildfire simulation modeling to explore the spatiotemporal patterns of wildfire likelihood and intensity in the island of Sardinia (Italy). We also performed wildfire exposure analysis for selected highly valued resources on the island to identify areas characterized by high risk. We observed substantial variation in burn probability, fire size, and flame length among time periods within the fire season, which starts in early June and ends in late September. Peak burn probability and flame length were observed in late July. We found that patterns of wildfire likelihood and intensity were mainly related to spatiotemporal variation in ignition locations, fuel moisture, and wind vectors. Our modeling approach allowed consideration of historical patterns of winds, ignition locations, and live and dead fuel moisture on fire exposure factors. The methodology proposed can be useful for analyzing potential wildfire risk and effects at landscape scale, evaluating historical changes and future trends in wildfire exposure, as well as for addressing and informing fuel management and risk mitigation issues.
Iris type:
01.01 Articolo in rivista
Keywords:
Burn probability; Fire exposure; Fire risk; Mediterranean areas; MTT algorithm; Seasonal patterns; Fire modeling
List of contributors:
Salis, Michele; Pellizzaro, Grazia; Arca, Bachisio
Authors of the University:
ARCA BACHISIO
PELLIZZARO GRAZIA
SALIS MICHELE
Handle:
https://iris.cnr.it/handle/20.500.14243/255868
Published in:
ENVIRONMENTAL MONITORING AND ASSESSMENT (DORDR., ONLINE)
Journal
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