Impact of Weather Covariates on Wildfire in Tanjung Puting National Park
Joint Authors
Nishimura, Akane
Eslami, Esa
Schoenberg, Frederic Paik
Source
International Journal of Forestry Research
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-06-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper explores wildfire modeling based on meteorological variables for Tanjung Puting National Park, located on the island of Borneo.
A separable model is developed for predicting daily wildfire burn area using variables such as temperature, sea level pressure, humidity, precipitation, visibility, and wind speed.
Each component in the model is estimated using kernel smoothing and maximum likelihood methods.
The data are shown to be largely compatible with the separable model, suggesting that the relationship between wildfire burn area and any of these weather variables in particular does not appear to change significantly depending on the values of the other weather variables.
The analysis appears to confirm the findings of previous studies on wildfire in Southern California which indicate that wildfire hazard may be suitably estimated using a simple multiplicative model where the impact of each weather covariate is estimated separately.
American Psychological Association (APA)
Eslami, Esa& Nishimura, Akane& Schoenberg, Frederic Paik. 2009. Impact of Weather Covariates on Wildfire in Tanjung Puting National Park. International Journal of Forestry Research،Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-459091
Modern Language Association (MLA)
Eslami, Esa…[et al.]. Impact of Weather Covariates on Wildfire in Tanjung Puting National Park. International Journal of Forestry Research No. 2009 (2009), pp.1-8.
https://search.emarefa.net/detail/BIM-459091
American Medical Association (AMA)
Eslami, Esa& Nishimura, Akane& Schoenberg, Frederic Paik. Impact of Weather Covariates on Wildfire in Tanjung Puting National Park. International Journal of Forestry Research. 2009. Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-459091
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459091