Índice de riesgo de incendios rurales (IRIR) alternativo al índice meteorológico de peligro de incendios (FWI)

Climate change favors the development of non-urban fires, which are characterized by greater intensity and affected areas. The study of fire behavior in forests is of interest to scientists, suggesting that there is enormous potential for future research. However, few publications have studied in greater depth the conditions of ignition probability in rural and non-forest environments and have proposed new computational methods. Wildfire risk assessment systems are not always effective in rural areas due to the diversity of vegetation types. This paper proposes a new fire risk index to weight fuel ignition potential in rural areas. The model uses innovative techniques to obtain more accurate results than the Fire Weather Index (FWI). It takes into account the specific characteristics of local environmental conditions to provide a more accurate assessment of ignition risk.

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Publication Details

Journal
Revista de Investigación en Tecnologías de la Información
Published
2025-05-05
DOI
https://doi.org/10.36825/riti.13.29.009
Primary Topic
Environmental and Ecological Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Índice de riesgo de incendios rurales (IRIR) alternativo al índice meteorológico de peligro de incendios (FWI)

Marcelo Marinelli, Carlos Roberto Brys, Andrés Leszczuk, David La Red Martínez
Revista de Investigación en Tecnologías de la Información
Environmental and Ecological Studies
article

Índice de riesgo de incendios rurales (IRIR) alternativo al índice meteorológico de peligro de incendios (FWI)

Marcelo Marinelli, Carlos Roberto Brys, Andrés Leszczuk, David La Red Martínez
article en

Abstract

Climate change favors the development of non-urban fires, which are characterized by greater intensity and affected areas. The study of fire behavior in forests is of interest to scientists, suggesting that there is enormous potential for future research. However, few publications have studied in greater depth the conditions of ignition probability in rural and non-forest environments and have proposed new computational methods. Wildfire risk assessment systems are not always effective in rural areas due to the diversity of vegetation types. This paper proposes a new fire risk index to weight fuel ignition potential in rural areas. The model uses innovative techniques to obtain more accurate results than the Fire Weather Index (FWI). It takes into account the specific characteristics of local environmental conditions to provide a more accurate assessment of ignition risk.

Revista de Investigación en Tecnologías de la InformaciónVol. 13(29)
National University of Misiones (AR), National University of the Northeast (AR)
Openalex Percentile: Top 94%
Environmental and Ecological Studies
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