Modeling Fire Hazards Induced by Volcanic Eruptions: The Case of Stromboli (Italy)

We hereby present VolcFire, a new cellular automaton model for fire propagation aimed at the creation of fire hazard maps for fires of volcanic origin. The new model relies on satellite-derived input data for the topography, land-use, fuel, and humidity information, and produces probabilistic maps o...

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Main Authors: Roberto Guardo, Giuseppe Bilotta, Gaetana Ganci, Francesco Zuccarello, Daniele Andronico, Annalisa Cappello
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Fire
Subjects:
Online Access:https://www.mdpi.com/2571-6255/7/3/70
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author Roberto Guardo
Giuseppe Bilotta
Gaetana Ganci
Francesco Zuccarello
Daniele Andronico
Annalisa Cappello
author_facet Roberto Guardo
Giuseppe Bilotta
Gaetana Ganci
Francesco Zuccarello
Daniele Andronico
Annalisa Cappello
author_sort Roberto Guardo
collection DOAJ
description We hereby present VolcFire, a new cellular automaton model for fire propagation aimed at the creation of fire hazard maps for fires of volcanic origin. The new model relies on satellite-derived input data for the topography, land-use, fuel, and humidity information, and produces probabilistic maps of fire propagation simulating fire spread. The model contains several simplifications compared to the current state-of-the-art, limiting its usability to plan fire-fighting interventions during an event in favour of a reduced computational load. The accuracy and reliability of the model are also discussed by presenting its ability to reproduce two recent fires on Stromboli island, with good spatial fit (Brier score of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.146</mn><mo>±</mo><mn>0.002</mn></mrow></semantics></math></inline-formula> for the 3 July 2019 volcanic fire, and of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.073</mn><mo>±</mo><mn>0.001</mn></mrow></semantics></math></inline-formula> for the 25 May 2022 anthropogenic fire) and less than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.5</mn><mo>%</mo></mrow></semantics></math></inline-formula> variation across multiple simulations for the same event.
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spelling doaj.art-b4be9567b7d1423b9d3c0352f4cdddb32024-03-27T13:38:09ZengMDPI AGFire2571-62552024-02-01737010.3390/fire7030070Modeling Fire Hazards Induced by Volcanic Eruptions: The Case of Stromboli (Italy)Roberto Guardo0Giuseppe Bilotta1Gaetana Ganci2Francesco Zuccarello3Daniele Andronico4Annalisa Cappello5Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, 95125 Catania, ItalyWe hereby present VolcFire, a new cellular automaton model for fire propagation aimed at the creation of fire hazard maps for fires of volcanic origin. The new model relies on satellite-derived input data for the topography, land-use, fuel, and humidity information, and produces probabilistic maps of fire propagation simulating fire spread. The model contains several simplifications compared to the current state-of-the-art, limiting its usability to plan fire-fighting interventions during an event in favour of a reduced computational load. The accuracy and reliability of the model are also discussed by presenting its ability to reproduce two recent fires on Stromboli island, with good spatial fit (Brier score of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.146</mn><mo>±</mo><mn>0.002</mn></mrow></semantics></math></inline-formula> for the 3 July 2019 volcanic fire, and of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.073</mn><mo>±</mo><mn>0.001</mn></mrow></semantics></math></inline-formula> for the 25 May 2022 anthropogenic fire) and less than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.5</mn><mo>%</mo></mrow></semantics></math></inline-formula> variation across multiple simulations for the same event.https://www.mdpi.com/2571-6255/7/3/70cellular automata3 July 2019 eruptionNDVINDMIprobabilistic modelling
spellingShingle Roberto Guardo
Giuseppe Bilotta
Gaetana Ganci
Francesco Zuccarello
Daniele Andronico
Annalisa Cappello
Modeling Fire Hazards Induced by Volcanic Eruptions: The Case of Stromboli (Italy)
Fire
cellular automata
3 July 2019 eruption
NDVI
NDMI
probabilistic modelling
title Modeling Fire Hazards Induced by Volcanic Eruptions: The Case of Stromboli (Italy)
title_full Modeling Fire Hazards Induced by Volcanic Eruptions: The Case of Stromboli (Italy)
title_fullStr Modeling Fire Hazards Induced by Volcanic Eruptions: The Case of Stromboli (Italy)
title_full_unstemmed Modeling Fire Hazards Induced by Volcanic Eruptions: The Case of Stromboli (Italy)
title_short Modeling Fire Hazards Induced by Volcanic Eruptions: The Case of Stromboli (Italy)
title_sort modeling fire hazards induced by volcanic eruptions the case of stromboli italy
topic cellular automata
3 July 2019 eruption
NDVI
NDMI
probabilistic modelling
url https://www.mdpi.com/2571-6255/7/3/70
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