The growing need to address natural and human-induced disasters while protecting territory remains a key focus for the scientific community. Effective emergency management, especially during wildfires, requires coordinated responses to safeguard lives and assets. This study develops hazard maps to aid emergency planning in Italy and estimate territorial resilience indicators. Focusing on wildfire ignition hazards in Ischia, the study uses a probabilistic model based on fifteen years of wildfire data (2009–2023). By analyzing ignition points and employing a Poisson distribution, it correlates ignition probabilities with vegetation types. The hazard maps reveal that wildfire risk is primarily influenced by the wildland–urban interface and vegetation characteristics, emphasizing the need to integrate territorial and urban factors into wildfire forecasting. The findings also suggest areas for refining the model to enhance risk mitigation strategies.

Forecasting of Wildfire Probability Occurrence: Case Study of a Mediterranean Island of Italy / Berardi, Davide; Galuppi, Marta; Libertà, Angelo; Lombardi, Mara. - In: LAND. - ISSN 2073-445X. - 14:2(2025). [10.3390/land14020277]

Forecasting of Wildfire Probability Occurrence: Case Study of a Mediterranean Island of Italy

Davide Berardi
Primo
;
Marta Galuppi
;
Mara Lombardi
2025

Abstract

The growing need to address natural and human-induced disasters while protecting territory remains a key focus for the scientific community. Effective emergency management, especially during wildfires, requires coordinated responses to safeguard lives and assets. This study develops hazard maps to aid emergency planning in Italy and estimate territorial resilience indicators. Focusing on wildfire ignition hazards in Ischia, the study uses a probabilistic model based on fifteen years of wildfire data (2009–2023). By analyzing ignition points and employing a Poisson distribution, it correlates ignition probabilities with vegetation types. The hazard maps reveal that wildfire risk is primarily influenced by the wildland–urban interface and vegetation characteristics, emphasizing the need to integrate territorial and urban factors into wildfire forecasting. The findings also suggest areas for refining the model to enhance risk mitigation strategies.
2025
ignition points; wildfire forecasting; wildland–urban interface; vulnerability assessment; spatial distribution; fire resilience
01 Pubblicazione su rivista::01a Articolo in rivista
Forecasting of Wildfire Probability Occurrence: Case Study of a Mediterranean Island of Italy / Berardi, Davide; Galuppi, Marta; Libertà, Angelo; Lombardi, Mara. - In: LAND. - ISSN 2073-445X. - 14:2(2025). [10.3390/land14020277]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1732770
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