scholarly journals Forest Fire Risk Assessment Using Hotspot Analysis in GIS

2017 ◽  
Vol 11 (1) ◽  
pp. 786-801 ◽  
Author(s):  
Safwanah Ni’matullah Binti Mohd Said ◽  
El-Said Mamdouh Mahmoud Zahran ◽  
Shahriar Shams
Keyword(s):  
Forest Fire ◽  
Geographical Information Systems ◽  
Fire Risk ◽  
Geographical Information ◽  
Asian Countries ◽  
Hotspot Analysis ◽  
Brunei Darussalam ◽  
Fire Stations ◽  
Forest Fire Risk

Background: Present intensifying forest fire incidents are becoming a major concern as they pose threats to the environment, economy and human’s safety. This paper aims to identify forest fire hotspots using advanced hotspot analysis in the Geographical Information Systems (GIS), and suggest appropriate preventive measures. Objective: Brunei Darussalam is one of the Southeast Asian countries that is significantly affected by the increase in forest fire incidents in this region. Brunei Muara is the worst-hit district by forest fire in Brunei Darussalam, and hence it was selected as a case study for this research. Results and Conclusion: This research identified and prioritized forest fire hotspots, highlighted the shortage of fire stations within the identified hotspots and suggested the suitable locations for new fire stations in Brunei Muara district.

scholarly journals Risk assessment for forest fire in Brunei Darussalam

2019 ◽  
Vol 258 ◽  
pp. 05033
Author(s):  
Shams Shahriar ◽  
Zahran El-Said M. M. ◽  
Said Safwanah N. M. ◽  
Hui Kho J. ◽  
Naderah N. D. H. M. F. Lee ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Forest Fire ◽  
Hot Spot ◽  
Fire Risk ◽  
Geographical Information ◽  
Brunei Darussalam ◽  
The People ◽  
Distance Weighted ◽  
Low Precipitation

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.

Applying GIS to develop a model for forest fire risk: A case study in Espírito Santo, Brazil

2016 ◽  
Vol 173 ◽  
pp. 65-71 ◽  
Author(s):  
Fernando Coelho Eugenio ◽  
Alexandre Rosa dos Santos ◽  
Nilton Cesar Fiedler ◽  
Guido Assunção Ribeiro ◽  
Aderbal Gomes da Silva ◽  
...  
Keyword(s):  
Forest Fire ◽  
Fire Risk ◽  
Espírito Santo ◽  
Espirito Santo ◽  
Forest Fire Risk

scholarly journals Mapping the Forest Fire Risk Zones Using Artificial Intelligence with Risk Factors Data

2022 ◽  
Author(s):  
Volkan Sevinc
Keyword(s):  
Artificial Intelligence ◽  
High Risk ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Risk ◽  
Geographical Information ◽  
Data Set ◽  
Risk Zone ◽  
Risk Zones ◽  
Forest Fire Risk

Abstract Geographical information system data has been used in forest fire risk zone mapping studies commonly. However, forest fires are caused by many factors, which cannot be explained only by geographical and meteorological reasons. Human-induced factors also play an important role in occurrence of forest fires and these factors depend on various social and economic conditions. This article aims to prepare a fire risk zone map by using a data set consisting of nine human-induced factors, three natural factors, and a temperature factor causing forest fires. Moreover, an artificial intelligence method, k-means, clustering algorithm was employed in preparation of the fire risk zone map. Turkey was selected as the study area as there are social and economic varieties among its zones. Therefore, the forestry zones in Turkey were separated into three groups as low, moderate, and high-risk categories and a map was provided for these risk zones. The map reveals that the forestry zones on the west coast of Turkey are under high risk of forest fire while the moderate risk zones mostly exist in the southeastern zones. The zones located in the interior parts, in the east, and on the north coast of Turkey have comparatively lower forest fire risks.

Lightning-caused forest fire risk rating assessment based on case-based reasoning: a case study in DaXingAn Mountains of China

2015 ◽  
Vol 81 (1) ◽  
pp. 347-363 ◽  
Author(s):  
Wenliang Liu ◽  
Shixin Wang ◽  
Yi Zhou ◽  
Litao Wang ◽  
Jinfeng Zhu ◽  
...  
Keyword(s):  
Forest Fire ◽  
Fire Risk ◽  
Case Based Reasoning ◽  
Risk Rating ◽  
Forest Fire Risk ◽  
Case Based

scholarly journals Mapping Forest Fire Risk at a Local Scale—A Case Study in Andalusia (Spain)

Environments ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 30 ◽  
Author(s):  
Ismael Vallejo-Villalta ◽  
Estefanía Rodríguez-Navas ◽  
Joaquín Márquez-Pérez
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Fire Risk ◽  
Moisture Stress ◽  
Forest Environment ◽  
Protection Measures ◽  
Burned Areas ◽  
Fuel Models ◽  
Forest Fire Risk

Forest fires are a critical environmental problem facing current societies, with serious repercussions at ecological, economic and personal safety levels. Detailed maps enabling identification of areas liable to be affected is an indispensable first step allowing different prevention and protection measures vis-à-vis this kind of phenomenon. These maps could be especially valuable for use in land management and emergency planning at a municipality scale. A methodology is shown for producing local maps of mid- and short-term forest fire risk, integrating both natural and human factors. Among natural factors, variables normally used in hazard models are considered as fuel models, slopes or vegetation moisture stress. From the human perspective, more novel aspects have been evaluated, meant either to assess human-induced hazard (closeness to forestland of causative elements or the ability of people to penetrate the forest environment), or to assess vulnerability, considering the population’s location in urban centres and scattered settlements. The methodology is applied in a municipality of Andalusia (Spain) and obtained results were compared to burned areas maps.

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