Risk assessment for forest fire in Brunei Darussalam
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201925805033 |
| _version_ | 1818578853997576192 |
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| author | Shahriar Shams El-Said M. M. Zahran Safwanah N. M. Said Kho J. Hui Lee Naderah N. D. H. M. F. Hasim N. H. H. |
| author_facet | Shahriar Shams El-Said M. M. Zahran Safwanah N. M. Said Kho J. Hui Lee Naderah N. D. H. M. F. Hasim N. H. H. |
| author_sort | Shahriar Shams |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T06:52:25Z |
| format | Article |
| id | doaj.art-279e94bcdd8746e98471ef8ab15550e2 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T06:52:25Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-279e94bcdd8746e98471ef8ab15550e22022-12-21T22:40:21ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012580503310.1051/matecconf/201925805033matecconf_scescm2019_05033Risk assessment for forest fire in Brunei DarussalamShahriar Shams0El-Said M. M. Zahran1Safwanah N. M. Said2Kho J. Hui3Lee Naderah N. D. H. M. F.4Hasim N. H. H.5Civil Engineering Programme Area, Universiti Teknologi BruneiCentre for Transport Research, Universiti Teknologi BruneiCivil Engineering Programme Area, Universiti Teknologi BruneiCivil Engineering Programme Area, Universiti Teknologi BruneiCivil Engineering Programme Area, Universiti Teknologi BruneiCivil Engineering Programme Area, Universiti Teknologi BruneiThe 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.https://doi.org/10.1051/matecconf/201925805033 |
| spellingShingle | Shahriar Shams El-Said M. M. Zahran Safwanah N. M. Said Kho J. Hui Lee Naderah N. D. H. M. F. Hasim N. H. H. Risk assessment for forest fire in Brunei Darussalam MATEC Web of Conferences |
| title | Risk assessment for forest fire in Brunei Darussalam |
| title_full | Risk assessment for forest fire in Brunei Darussalam |
| title_fullStr | Risk assessment for forest fire in Brunei Darussalam |
| title_full_unstemmed | Risk assessment for forest fire in Brunei Darussalam |
| title_short | Risk assessment for forest fire in Brunei Darussalam |
| title_sort | risk assessment for forest fire in brunei darussalam |
| url | https://doi.org/10.1051/matecconf/201925805033 |
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