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Application of simulation modeling for wildfire exposure and transmission assessment in Sardinia, Italy

Bibliographic Data

ID22028168
AuthorsMichele Salis (0000-0002-0499-9726, National Research Council, corresponding author), Bachisio Arca (0000-0002-2834-2753, National Research Council), Liliana Del Giudice (0000-0003-0862-3926, National Research Council), Palaiologos Palaiologou (0000-0001-8507-5201, University of the Aegean), Fermín Alcasena (0000-0002-2007-9487, Oregon State University), Fermin Alcasena-Urdiroz, Alan A Ager (0000-0001-5312-665X, Rocky Mountain Research Station), Alan Ager, Michele Fiori (0000-0002-7352-6818, Agenzia Regionale per la Protezione Ambientale del Piemonte), Grazia Pellizzaro (0000-0003-0860-897X, National Research Council), Carla Scarpa (0000-0002-8362-8703, National Research Council), Matilde Schirru (0000-0002-3969-7592, National Research Council), Andrea Ventura (0000-0003-3120-0390, National Research Council), Marcello Casula (0000-0003-2955-1183, National Research Council), Pierpaolo Duce (0000-0002-5011-2903, National Research Council)
Year2021
Volume58
Pages102189
Publication date2021-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2021.102189
OpenAlexW3136943944
LanguageEN
Citations received9
References cited93

The development of comprehensive fire management and risk assessment strategies is of prominent concern in Southern Europe, due to the expanding scale of wildfire risk. In this work, we applied simulation modeling to analyze fine-scale (100-m resolution) wildfire exposure and risk transmission in the 24,000 km2 island of Sardinia (Italy). Sardinia contains a variety of ecological, cultural, anthropic and touristic resources that each summer are threatened by wildfires, and represents well the Mediterranean Basin environments and conditions. Wildfire simulations based on the minimum travel time algorithm were used to characterize wildfire exposure and risk transmission in terms of annual burn probability, flame length, structures exposed and type and amount of transmission. We focused on the historical conditions associated with large (>50 ha) and very large (>200 ha) wildfires that occurred in Sardinia in the period 1998–2016, and combined outputs from wildfire simulation modeling with land uses, building footprint locations, weather, and historical ignition data. The outputs were summarized for weather zones, main wind scenarios and land uses. Our study characterized spatial variations in wildfire spread, exposure and risk transmission among and within weather zones and the main winds associated with large events. This work provides a novel quantitative approach to inform wildfire risk management and planning in Mediterranean areas. The proposed methodology can serve as reference for wildfire risk assessment and can be replicated elsewhere. Findings can be used to better understand the spatial dynamics and patterns of wildfire risk and evaluate expected wildfire behavior or transmission potential in Sardinia and neighboring regions

Cartography · Ecosystem · Environmental resource management · Fire regime · Geography · Habitat · Mediterranean Basin · Mediterranean climate · Meteorology · Risk assessment · Risk management · Threatened species · Computer Science · Engineering · Environmental Science · Fire effects on ecosystems · Landslides and related hazards · Plant Water Relations and Carbon Dynamics · Ecology

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Unique citing works9
Citations per year2.25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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