Wildland fire risk maps using S<sup>2</sup>F<sup>2</sup>M<sup>*</sup>
Wildland fires are a critical natural hazard in many regions of the World. Every year, millions of hectares are burned in Tropical, Boreal and Mediterranean forest, which causes a wide variety of effects, from atmospheric emissions, to soil erosion, biodiversity loss and drainage alterations. Reduct...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2005-12-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/843 |
| _version_ | 1819297513239216128 |
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| author | Germán BIanchini Ana Cortés Tomás Margalef Emilio Luque Fadón Emilio Chuvieco Andrea Camia |
| author_facet | Germán BIanchini Ana Cortés Tomás Margalef Emilio Luque Fadón Emilio Chuvieco Andrea Camia |
| author_sort | Germán BIanchini |
| collection | DOAJ |
| description | Wildland fires are a critical natural hazard in many regions of the World. Every year, millions of hectares are burned in Tropical, Boreal and Mediterranean forest, which causes a wide variety of effects, from atmospheric emissions, to soil erosion, biodiversity loss and drainage alterations. Reduction of those negative effects of fire requires to improve current fire risk assessment methods. Wildland firerisk assessment is a very significant issue. This risk assessment is usually based on ignition probability due to meteorological or human factors, but it does not usually consider propagation danger when a wildland fire has started. To evaluate propagation danger, it is necessary to apply some propagation model and simulate the behaviour of the fireline. However, this propagation danger must be evaluated considering many different possible scenarios. Therefore, the amount of simulations that must be carried out is enormous and it is necessary to apply high-performance computing techniques to make the methodology feasible. In this paper, a method for creating propagation danger maps based on factorial experimentation is described. The methodology was applied at a southern Europe scale during the 2004 summer season. |
| first_indexed | 2024-12-24T05:15:12Z |
| format | Article |
| id | doaj.art-4634ad6384d4423c86eee57a526300c3 |
| institution | Directory Open Access Journal |
| issn | 1666-6046 1666-6038 |
| language | English |
| last_indexed | 2024-12-24T05:15:12Z |
| publishDate | 2005-12-01 |
| publisher | Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata |
| record_format | Article |
| series | Journal of Computer Science and Technology |
| spelling | doaj.art-4634ad6384d4423c86eee57a526300c32022-12-21T17:13:34ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382005-12-01504244249537Wildland fire risk maps using S<sup>2</sup>F<sup>2</sup>M<sup>*</sup>Germán BIanchini0Ana Cortés1Tomás Margalef2Emilio Luque Fadón3Emilio Chuvieco4Andrea Camia5Computer Architecture and Operating Systems Department, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain.Computer Architecture and Operating Systems Department, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain.Computer Architecture and Operating Systems Department, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain.Computer Architecture and Operating Systems Department, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain.Department of Geography, Universidad de Alcalá, Alcalá de Henares, Spain.European Commission - DG Joint Research Centre, Institute for Environment and SustainabilityWildland fires are a critical natural hazard in many regions of the World. Every year, millions of hectares are burned in Tropical, Boreal and Mediterranean forest, which causes a wide variety of effects, from atmospheric emissions, to soil erosion, biodiversity loss and drainage alterations. Reduction of those negative effects of fire requires to improve current fire risk assessment methods. Wildland firerisk assessment is a very significant issue. This risk assessment is usually based on ignition probability due to meteorological or human factors, but it does not usually consider propagation danger when a wildland fire has started. To evaluate propagation danger, it is necessary to apply some propagation model and simulate the behaviour of the fireline. However, this propagation danger must be evaluated considering many different possible scenarios. Therefore, the amount of simulations that must be carried out is enormous and it is necessary to apply high-performance computing techniques to make the methodology feasible. In this paper, a method for creating propagation danger maps based on factorial experimentation is described. The methodology was applied at a southern Europe scale during the 2004 summer season.https://journal.info.unlp.edu.ar/JCST/article/view/843wildland firepropagation dangerrisk mapshigh-performance computing |
| spellingShingle | Germán BIanchini Ana Cortés Tomás Margalef Emilio Luque Fadón Emilio Chuvieco Andrea Camia Wildland fire risk maps using S<sup>2</sup>F<sup>2</sup>M<sup>*</sup> Journal of Computer Science and Technology wildland fire propagation danger risk maps high-performance computing |
| title | Wildland fire risk maps using S<sup>2</sup>F<sup>2</sup>M<sup>*</sup> |
| title_full | Wildland fire risk maps using S<sup>2</sup>F<sup>2</sup>M<sup>*</sup> |
| title_fullStr | Wildland fire risk maps using S<sup>2</sup>F<sup>2</sup>M<sup>*</sup> |
| title_full_unstemmed | Wildland fire risk maps using S<sup>2</sup>F<sup>2</sup>M<sup>*</sup> |
| title_short | Wildland fire risk maps using S<sup>2</sup>F<sup>2</sup>M<sup>*</sup> |
| title_sort | wildland fire risk maps using s sup 2 sup f sup 2 sup m sup sup |
| topic | wildland fire propagation danger risk maps high-performance computing |
| url | https://journal.info.unlp.edu.ar/JCST/article/view/843 |
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