| Issue |
MATEC Web Conf.
Volume 258, 2019
International Conference on Sustainable Civil Engineering Structures and Construction Materials (SCESCM 2018)
|
|
|---|---|---|
| Article Number | 05033 | |
| Number of page(s) | 8 | |
| Section | Structural Dynamics and Earthquake Engineering, Structures in Severe Environment, Structural Analysis | |
| DOI | https://doi.org/10.1051/matecconf/201925805033 | |
| Published online | 25 January 2019 | |
Risk assessment for forest fire in Brunei Darussalam
1 Civil Engineering Programme Area, Universiti Teknologi Brunei, Jalan Tungku Link, Gadong, BE 1410, Brunei Darussalam
2 Centre for Transport Research, Universiti Teknologi Brunei, Jalan Tungku Link, Gadong, BE 1410, Brunei Darussalam
* Corresponding author: shams.shahriar@utb.edu.bn
The rise in global warming triggered by climate change and increased slush and burn activities particularly in Indonesia has been a major concern for deteriorating air pollution in Borneo regions in last two decades. Brunei Darussalam is facing increasing fire risk particularly during the dry season (February to April) of the year. The study is an effort to focus on the recent rise of fire events in Brunei Darussalam as fires can tremendously downgrade the quality of the country’s well-known forestry; affect the economy and most importantly, health of the people. Geographical Information System (GIS) have been widely used by researchers to study fire risk assessment. The ArcGIS software is used for Optimized Hot Spot Analysis, Inversed Distance Weighted (IDW), and Kriging to compare and analyse the data and prepare a map for identifications of hotspot areas. High temperatures due to the El Nino phenomenon and low precipitation contribute greatly to the forest fire outbreaks. Results show that the Brunei-Muara district is mostly affected compared to Tutong and Belait districts. From the hotspots identified, the percentages of forest areas affected are 53%, 64%, 25% in Brunei-Muara, Tutong and Belait districts respectively.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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