http://www.cnr.it/ontology/cnr/individuo/prodotto/ID291954
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)
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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
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- Michele Salis, Alan A. Ager, Bachisio Arca, Mark A. Finney, Fermin Alcasena, Valentina Bacciu, Pierpaolo Duce, Olga Munoz Lozano, Donatella Spano (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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- 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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