http://www.cnr.it/ontology/cnr/individuo/prodotto/ID76992
Fuel consumption and smoke characterization in Mediterranean ecosystem using FOFEM 5. (Contributo in atti di convegno)
- Type
- Label
- Fuel consumption and smoke characterization in Mediterranean ecosystem using FOFEM 5. (Contributo in atti di convegno) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Alternative label
Bacciu V., Salis M., Chergia AP, Spano D, Pellizzaro G., Arca B., Duce P. (2010)
Fuel consumption and smoke characterization in Mediterranean ecosystem using FOFEM 5.
in VI International Conference on Forest Fire Research, Coimbra Portugal, 15-18 November 2010
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bacciu V., Salis M., Chergia AP, Spano D, Pellizzaro G., Arca B., Duce P. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- VI International Conference on Forest Fire research (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Euro-Mediterranean Center for Climate Changes, IAFENT Division, Sassari, Italy; Department of Economics and Woody Plants Systems (DESA), University of Sassari, Italy; Department of Economics and Woody Plants Systems (DESA), University of Sassari, Italy; Department of Economics and Woody Plants Systems (DESA), University of Sassari, Italy; National Council of Research, Institute of Biometeorology (CNR-IBIMET), Sassari, Italy; National Council of Research, Institute of Biometeorology (CNR-IBIMET), Sassari, Italy; National Council of Research, Institute of Biometeorology (CNR-IBIMET), Sassari, Italy (literal)
- Titolo
- Fuel consumption and smoke characterization in Mediterranean ecosystem using FOFEM 5. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-989-20-2157-7 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
- Domingos Xavier Vegas (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Domingos Xavier Vegas (literal)
- Abstract
- Emissions from biomass burning include a wide range of gaseous compounds and particles that
contribute significantly to the atmospheric budgets at local, regional, and even global scale. The
amount of some atmospheric pollutants has proven to be comparable to that from the fossil fuel
combustion. In addition, biomass burning is a considerable source of chemically active gases such
as nitric oxide, carbon monoxide and volatile organic compounds (VOC). Vegetation fire
emissions (VFE) are recognized to be an important public health and environment issue. In the last
decade, several experimental and modeling studies were conducted to improve our knowledge of
the atmospheric impact of vegetation fires. To estimate the potential impacts of VFE, it is
necessary to describe and quantify the emissions. Information is needed on the burned area, the
amount, type, and conditions of fuel material per unit area, the burn period, and the emission
factors for each specific pollutant. The estimates of VFE are affected by several errors and
uncertainties. However, the largest errors depend on the determination of both fuel properties and
fuel amounts consumed during the combustion. Since its variability can influence fire effects
through fuel characteristics, spatial location of fire events seems to have a crucial role. Current
VFE inventory methods use the amount of burned biomass and the emission factors associated
with each specific chemical species, according to the equation first proposed by Seiler and Crutzen
(1980). However, several authors pointed out that improvements of emission estimates are
possible when the amount of fuel consumption in the flaming and smoldering combustion period
is known. To improve the estimates of total emissions produced from wildland fire, the First Order
Fire Effects Model (FOFEM) of Reinhardt et al. (1997) was based on this approach. Woody fuel
consumption is simulated using the BURNUP physical model that provides separate estimates of
flaming and smoldering consumption and their relative particulate and chemical species emissions.
In this study, we explored the usefulness of this model to estimate the type and quantity of
Mediterranean VFE from fires observed in Sardinia (Italy) during the 2007 and 2008 seasons. In
order to reduce bias in predicting and quantifying the source and the composition of fire emissions
and achieve realistic VFE estimates, particular attention was paid to develop and survey
comprehensive and accurate data inputs. FOFEM input fuel load data, for several fuel types, were
surveyed to represent those combusted. Fuel maps relative to preburn vegetation were developed
from the supervised classification of the 1:25,000 land cover map. Data relative to fire perimeters,
fire weather data, and fire behaviour were gathered by the Sardinian Forestry Corps (SFC).
The results showed the crucial importance of appropriate fuel and fire data and maps to attain
reasonable simulations of fuel consumption and smoke emissions. The FOFEM outputs and the
derived smoke emission maps are useful for several applications including emissions inventories,
air quality management plans, and emission source models coupled with dispersion models and
decision support systems. (literal)
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