Integration of Lightning- and Human-Caused Wildfire Occurrence Models

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Standard

Integration of Lightning- and Human-Caused Wildfire Occurrence Models. / Vilar, Lara; Nieto Solana, Hector; Martín, M. Pilar.

I: Human and Ecological Risk Assessment, Bind 16, Nr. 2, 2010, s. 340-364.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Vilar, L, Nieto Solana, H & Martín, MP 2010, 'Integration of Lightning- and Human-Caused Wildfire Occurrence Models', Human and Ecological Risk Assessment, bind 16, nr. 2, s. 340-364. https://doi.org/10.1080/10807031003670469

APA

Vilar, L., Nieto Solana, H., & Martín, M. P. (2010). Integration of Lightning- and Human-Caused Wildfire Occurrence Models. Human and Ecological Risk Assessment, 16(2), 340-364. https://doi.org/10.1080/10807031003670469

Vancouver

Vilar L, Nieto Solana H, Martín MP. Integration of Lightning- and Human-Caused Wildfire Occurrence Models. Human and Ecological Risk Assessment. 2010;16(2):340-364. https://doi.org/10.1080/10807031003670469

Author

Vilar, Lara ; Nieto Solana, Hector ; Martín, M. Pilar. / Integration of Lightning- and Human-Caused Wildfire Occurrence Models. I: Human and Ecological Risk Assessment. 2010 ; Bind 16, Nr. 2. s. 340-364.

Bibtex

@article{10c182e3a64e4bad9d14bb3957d54801,
title = "Integration of Lightning- and Human-Caused Wildfire Occurrence Models",
abstract = "Fire risk indices are useful tools for fire prevention actions by fire managers. A fire ignition is either the result of lightning or human activities. In European Mediterranean countries most forest fires are due to human activities. However, lightning is still an important fire ignition source in some regions. Integration of lightning and human fire occurrence probability into fire risk indices would be necessary to have a complete picture of the causal agents and their relative importance in fire occurrence. We present two methods for the integration of lightning and human fire occurrence probability models at 1 × 1 km grid cell resolution in two regions of Spain: Madrid, which presents a high fire incidence due to human activities; and Arag{\'o}n, one of the most affected regions in Spain by lightning-fires. For validation, independent fire ignition points were used to compute the Receiver Operating Characteristic (ROC)-Area Under de Curve (AUC) and the Mahalanobis Distance. Results in Madrid are satisfactory for the human fire occurrence probability model (AUC0.7) but less suitable for the lightning and the integrated models. In Arag{\'o}n the fit for the human model is reasonable (AUC0.7) whereas for the integration methods is practically useless (AUC0.58)",
author = "Lara Vilar and {Nieto Solana}, Hector and Mart{\'i}n, {M. Pilar}",
year = "2010",
doi = "10.1080/10807031003670469",
language = "English",
volume = "16",
pages = "340--364",
journal = "Human and Ecological Risk Assessment (HERA)",
issn = "1080-7039",
publisher = "Taylor & Francis",
number = "2",

}

RIS

TY - JOUR

T1 - Integration of Lightning- and Human-Caused Wildfire Occurrence Models

AU - Vilar, Lara

AU - Nieto Solana, Hector

AU - Martín, M. Pilar

PY - 2010

Y1 - 2010

N2 - Fire risk indices are useful tools for fire prevention actions by fire managers. A fire ignition is either the result of lightning or human activities. In European Mediterranean countries most forest fires are due to human activities. However, lightning is still an important fire ignition source in some regions. Integration of lightning and human fire occurrence probability into fire risk indices would be necessary to have a complete picture of the causal agents and their relative importance in fire occurrence. We present two methods for the integration of lightning and human fire occurrence probability models at 1 × 1 km grid cell resolution in two regions of Spain: Madrid, which presents a high fire incidence due to human activities; and Aragón, one of the most affected regions in Spain by lightning-fires. For validation, independent fire ignition points were used to compute the Receiver Operating Characteristic (ROC)-Area Under de Curve (AUC) and the Mahalanobis Distance. Results in Madrid are satisfactory for the human fire occurrence probability model (AUC0.7) but less suitable for the lightning and the integrated models. In Aragón the fit for the human model is reasonable (AUC0.7) whereas for the integration methods is practically useless (AUC0.58)

AB - Fire risk indices are useful tools for fire prevention actions by fire managers. A fire ignition is either the result of lightning or human activities. In European Mediterranean countries most forest fires are due to human activities. However, lightning is still an important fire ignition source in some regions. Integration of lightning and human fire occurrence probability into fire risk indices would be necessary to have a complete picture of the causal agents and their relative importance in fire occurrence. We present two methods for the integration of lightning and human fire occurrence probability models at 1 × 1 km grid cell resolution in two regions of Spain: Madrid, which presents a high fire incidence due to human activities; and Aragón, one of the most affected regions in Spain by lightning-fires. For validation, independent fire ignition points were used to compute the Receiver Operating Characteristic (ROC)-Area Under de Curve (AUC) and the Mahalanobis Distance. Results in Madrid are satisfactory for the human fire occurrence probability model (AUC0.7) but less suitable for the lightning and the integrated models. In Aragón the fit for the human model is reasonable (AUC0.7) whereas for the integration methods is practically useless (AUC0.58)

U2 - 10.1080/10807031003670469

DO - 10.1080/10807031003670469

M3 - Journal article

VL - 16

SP - 340

EP - 364

JO - Human and Ecological Risk Assessment (HERA)

JF - Human and Ecological Risk Assessment (HERA)

SN - 1080-7039

IS - 2

ER -

ID: 44199257