Analyzing wildfire exposure on Sardinia, Italy (Abstract/Poster in atti di convegno)

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  • Analyzing wildfire exposure on Sardinia, Italy (Abstract/Poster in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Michele Salis, Alan A. Ager, Bachisio Arca, Mark A. Finney, Fermin Alcasena, Valentina Bacciu, Pierpaolo Duce, Olga Munoz Lozano, Donatella Spano (2014)
    Analyzing wildfire exposure on Sardinia, Italy
    in EGU General Assembly 2014, Vienna, 27 April - 02 May 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Michele Salis, Alan A. Ager, Bachisio Arca, Mark A. Finney, Fermin Alcasena, Valentina Bacciu, Pierpaolo Duce, Olga Munoz Lozano, Donatella Spano (literal)
Pagina inizio
  • EGU2014-11596 (literal)
Pagina fine
  • EGU2014-11596 (literal)
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  • http://meetingorganizer.copernicus.org/EGU2014/EGU2014-11596.pdf (literal)
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  • Book of Abstracts of the EGU General Assembly 2014 (literal)
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  • 16 (literal)
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  • 16 (literal)
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  • 1 (literal)
Note
  • Google Scholar (literal)
  • Abstract (literal)
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  • University of Sassari, Department of Science for Nature and Environmental Resources (DIPNET), Sassari, Italy; Euro-Mediterranean Center on Climate Change (CMCC), IAFENT Division, Sassari (Italy); USDA Forest Service, Pacific Northwest Research Station, Western Wildland Environmental Threat Assessment Center, Prineville, OR (USA); (4) National Research Council, Institute of Biometeorology - CNR-IBIMET, Sassari (Italy); USDA Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory, Missoula, MT (USA) (literal)
Titolo
  • Analyzing wildfire exposure on Sardinia, Italy (literal)
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  • European Geosciences Union (literal)
Abstract
  • We used simulation modeling based on the minimum travel time algorithm (MTT) to analyze wildfire exposure of key ecological, social and economic features on Sardinia, Italy. Sardinia is the second largest island of the Mediterranean Basin, and in the last fifty years experienced large and dramatic wildfires, which caused losses and threatened urban interfaces, forests and natural areas, and agricultural productions. Historical fires and environ- mental data for the period 1995-2009 were used as input to estimate fine scale burn probability, conditional flame length, and potential fire size in the study area. With this purpose, we simulated 100,000 wildfire events within the study area, randomly drawing from the observed frequency distribution of burn periods and wind directions for each fire. Estimates of burn probability, excluding non-burnable fuels, ranged from 0 to 1.92x10-3, with a mean value of 6.48x10-5. Overall, the outputs provided a quantitative assessment of wildfire exposure at the landscape scale and captured landscape properties of wildfire exposure. We then examined how the exposure profiles varied among and within selected features and assets located on the island. Spatial variation in modeled outputs resulted in a strong effect of fuel models, coupled with slope and weather. In particular, the combined effect of Mediterranean maquis, woodland areas and complex topography on flame length was relevant, mainly in north-east Sardinia, whereas areas with herbaceous fuels and flat areas were in general characterized by lower fire intensity but higher burn probability. The simulation modeling proposed in this work provides a quantitative approach to inform wild- fire risk management activities, and represents one of the first applications of burn probability modeling to capture fire risk and exposure profiles in the Mediterranean basin. (literal)
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