http://www.cnr.it/ontology/cnr/individuo/prodotto/ID199144

Estimating vegetation fire emissions from Sardinian wildland fires (2005-2009) (Contributo in volume (capitolo o saggio))

Type

Prodotto della ricerca (Classe)
Contributo in volume (capitolo o saggio) (Classe)

Label

Estimating vegetation fire emissions from Sardinian wildland fires (2005-2009) (Contributo in volume (capitolo o saggio)) (literal)

Anno

2012-01-01T00:00:00+01:00 (literal)

Alternative label

Bacciu V., Pellizzaro G., Salis M., Arca B., Duce P., Spano D. (2012)
Estimating vegetation fire emissions from Sardinian wildland fires (2005-2009)
Nuova StampaColor S.r.l., Muros (Italia) in Modelling Fire Behaviour and Risk, 2012
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Bacciu V., Pellizzaro G., Salis M., Arca B., Duce P., Spano D. (literal)

Pagina inizio

34 (literal)

Pagina fine

40 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

http://desa.uniss.it/Modelling%20Fire%20Behaviour%20and%20Risk.pdf (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

Modelling Fire Behaviour and Risk (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

7 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

Department of Science for Nature and Environmetal Resources (DipNeT), University of Sassari, Italy Euro-Mediterranean Center for Climate Changes, IAFENT Division, Sassari, Italy National Council of Research, Institute of Biometeorology (CNR-IBIMET), Sassari, Italy (literal)

Titolo

Estimating vegetation fire emissions from Sardinian wildland fires (2005-2009) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

978-88-904409-7-7 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume

Donatella Spano, Valentina Bacciu, Michele Salis, Costantino Sirca (literal)

Abstract

Vegetation fire emissions (VFE) are recognized to be an important public health and environment issue. The estimates of VFE are affected by several errors and uncertainties, principally related to fuel status and characteristics, but also to fire behaviour. In addition, improvements of emission estimates are possible knowing the amount of fuel consumption both in the flaming and smoldering combustion period. In this context, the aim of this work is to develop a methodology for fire emission estimation in a Mediterranean area, with a focus on the evaluation of VFE in relation to different type of vegetation burned. The First Order Fire Effects Model (FOFEM) (Reinhardt et al. 1997) was selected for estimating combustion and emission processes due to the input needed and its physical model of heat transfer and burning rate. 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. The data on area burned, fuel loadings, and emissions were assembled into a Geographical Information System (GIS) to improve manipulation and visualization of data. Results showed the crucial role of appropriate fuel and fire data and maps to attain reasonable simulations of fuel consumption and smoke emissions. 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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