http://www.cnr.it/ontology/cnr/individuo/prodotto/ID103631
Sensitivity of fire behavior simulations to spatial accuracy of input data (Abstract in rivista)
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- Sensitivity of fire behavior simulations to spatial accuracy of input data (Abstract in rivista) (literal)
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- 2008-01-01T00:00:00+01:00 (literal)
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Salis M, Arca B, Bacciu V, Pellizzaro G, Ventura A, Spano D, Duce P (2008)
Sensitivity of fire behavior simulations to spatial accuracy of input data
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- Salis M, Arca B, Bacciu V, Pellizzaro G, Ventura A, Spano D, Duce P (literal)
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- A fire simulator (FARSITE) was employed to simulate spread and behaviour of forest fire case studies occurred in North Sardinia during the summer 2007. The effect of fuel models and weather conditions on the accuracy of FARSITE simulations was evaluated to assess the capabilities of the simulator in accurately forecasting fire spread and behaviour in areas covered by Mediterranean maquis. A custom fuel model, developed for Mediterranean maquis, provided realistic values of simulated fire spread and behaviour. Improvements on the accuracy of both fire spread and behaviour
were also obtained using raster maps of wind speed and direction, rather than uniform wind fields. For this purpose, a computational fluid dynamic model was used to obtain numerical simulations of wind fields and to evaluate the effect of topography on wind regime. Results confirmed that the use of both accurate wind field data and appropriate custom fuel models is crucial to obtain accurate simulations of fire behaviour
occurring over Mediterranean vegetation during the drought season. (literal)
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- Diaprtimento di Economia e Sistemi Arborei, Università di Sassari; Istituto di Biometeorologia, Consiglio Nazionale delle Ricerche (literal)
- Titolo
- Sensitivity of fire behavior simulations to spatial accuracy of input data (literal)
- Abstract
- Wildland fire spread and behaviour are complex phenomena due to both the number of
involved physicalchemical factors, and the nonlinear relationship between variables.
Several models attempt to predict the propagation of fires under different fuel, weather
and other environmental conditions. The different fire simulator systems developed
and validated in the last two decades are characterized by semi-physical, statistical or
probabilistic approaches. The semiphysical approach combines the physical theory of
combustion and heat transfer with statistical relationship between the different factors
involved in fire spread, parameterized by large databases of both experimental and
prescribed fires. The most widespread fire prediction model is the semiempirical fire
model developed by Rothermel and incorporated into the BEHAVE Fire Behaviour
Prediction and Fuel Modelling System. Rothermel's model constituted the core of different
spatial and temporal explicit fire spread and behaviour simulators, i.e. FARSITE
(Fire Area Simulator) developed by Finney in 1994. Several works reported limitations
of Rothermel's model due to the inaccuracies of both the model equations and
the accuracy and quality of input data. The use of spatial simulators of fire behaviour
as FARSITE requires the availability of high resolution environmental and fuel data;
in absence of realistic data, errors on the simulated fire spread can be compounded to
produce a decrease of the spatial and temporal accuracy of predicted data.
In this work, FARSITE was employed to simulate spread and behaviour of some real
fires occurred in North Sardinia during the past summer seasons. The effect of fuel
models and weather conditions on the accuracy of FARSITE simulations was evaluated
to assess the capabilities of the simulator in accurately forecasting fire spread and
behaviour in areas covered by Mediterranean maquis. A custom fuel model, designed
and developed for North Sardinian maquis, provided realistic values of simulated fire
spread and behaviour. Improvements on the accuracy of both fire spread and behaviour
were also obtained using raster maps of wind speed and direction, rather than uniform
wind fields. For this purpose, a computational fluid dynamic model was used to obtain
numerical simulations of wind fields and to evaluate the effect of topography on wind
regime. The results confirm that the use of both accurate wind field data and appropriate
custom fuel models is crucial to obtain accurate simulations of fire behaviour
occurring on Mediterranean vegetation during the drought season. (literal)
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