http://www.cnr.it/ontology/cnr/individuo/prodotto/ID76713
Ichnusa Fire Index: Development and preliminary evaluation at local scale (Abstract in rivista)
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- Ichnusa Fire Index: Development and preliminary evaluation at local scale (Abstract in rivista) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.foreco.2006.08.279 (literal)
- Alternative label
SIRCA C., SPANO D., PISANU P., DUCE P., DELOGU G., CICALÓ G.O., (2006)
Ichnusa Fire Index: Development and preliminary evaluation at local scale
(literal)
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- SIRCA C., SPANO D., PISANU P., DUCE P., DELOGU G., CICALÓ G.O., (literal)
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- Lavoro presentato alla V International Conference on Forest Fire Research, tenuta a Figueira da Foz, Coimbra, il 27-30 Novembre 2006 (literal)
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- Università di Sassari, Dipartimento di Economia e Sistemi Arborei
CNR-IBIMET, Sassari
Corpo Forestale e di Vigilanza Ambientale, Cagliari (literal)
- Titolo
- Ichnusa Fire Index: Development and preliminary evaluation at local scale (literal)
- Abstract
- Fire danger models are commonly used in countries where
wildfire occurrences are an important natural threat to forests
and wooded areas (e.g., Spain, Canada, Portugal, and Italy).
Although fire danger models are calibrated for specific
geographic areas, they are often used outside of the calibration
area. In addition, no comprehensive statistical evaluation
procedures have been applied to fire danger models.
In this paper, an integrated fire rating index (Ichnusa Fire
Index IFI) developed using wildfire data from Sardinia (Italy),
is presented. Depending on the sampling rate, IFI calculation
requires meteorological, micrometeorological, topological and
ecophysiological data. The IFI index includes (1) the Drought
Code (DC), describing water status of plants; (2) the Meteo
Code (MC), related to turbulence or weather conditions; (3) the
Fuel Code (FC) that accounts density and moisture of
vegetation; and (4) the Topological Code (TC), describing
orography, slope and site exposure. To determine FC values, the
first step defines fuel categories. Based on a vegetation cover
map of Sardinia, six fuel types were initially defined as (1)
broad leaf forest, (2) cork oak forest, (3) short shrubland, (4) tall
shrubland, (5) garigue, and (6) grassland.
In this study, the IFI performance was compared with three
fire danger indices [i.e., Canadian Fire Weather Index (FWI),
Portuguese Index (Port), and Italian Meteorological Danger
Index (IMPI)] using data from the period 2002-2004. Index
values were calculated for 57 zones of Sardinia corresponding
to meteorological station of Agrometeorological Service of
Sardinia. All fire events occurring within 20 and 40 km
diameter circles around the meteorological stations were
considered. Fire potential forecasting performances of all the
indices were evaluated determining model capacity to
discriminate days with or without fire events using Mahalanobis
distance (DM) and the Score 1, Score 2 and Score 3
described by Mandallaz and Ye (1996). The Mahalanobis
distance test showed the highest values for IFI for both 20 and
40 km diameters around the stations. Also Scores 1, 2 and 3
calculated for IFI were higher than those computed for the other
models. Similar results were obtained when IFI was calculated
using weather forecast. These results confirm the good
performance of IFI in forecasting fire events in Sardinia.
The good performance can partially be attributed to a
preliminary study that defined an accurate Fuel Code. (literal)
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