当前位置: X-MOL 学术Nat. Hazards › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Producing forest fire susceptibility map via multi-criteria decision analysis and frequency ratio methods
Natural Hazards ( IF 3.7 ) Pub Date : 2020-07-10 , DOI: 10.1007/s11069-020-04158-7
Deniz Arca , Mercan Hacısalihoğlu , Ş. Hakan Kutoğlu

Located in the Mediterranean basin, one of the world’s leading places in terms of forest fires, Turkey is one of the countries where forest fires are experienced very often due to both natural and socio-economic conditions. The objective of this study is to conduct a forest fire susceptibility analysis within the boundaries of Karabük Forestry Directorate. This analysis was conducted considering the factors affecting the forest fire risk (elevation, slope, aspect, distance to road lines, distance to settlement, land surface temperature and stand type). The factors used in the study were analyzed using geographic information systems (GIS) techniques and analytic hierarchy process method and frequency ratio method. The forest fire susceptibility map produced was classified in 5 categories including very low, low, moderate, high and very fire susceptibility. In order to see how much the forest fire susceptibility map produced corresponds to reality, the forest fire susceptibility maps and the forest fire inventory map were highly compared, and a 73.92% correspondence was detected according to the multi-criteria decision analysis method, while a 76.42% correspondence was detected in the frequency ratio method. As a result, it was concluded that high- and very high-sensitive areas were dominant in the study area, and the site had a high forest fire potential. Ultimately, this study indicated that GIS could be used as a tool to help make effective decisions during forest fire planning.



中文翻译:

通过多准则决策分析和频率比方法制作森林火灾敏感性图

土耳其位于地中海盆地,这是世界上森林火灾最严重的地方之一,土耳其是自然和社会经济条件下经常发生森林火灾的国家之一。这项研究的目的是在Karabük林业局的范围内进行森林火灾敏感性分析。进行此分析时考虑了影响森林火灾风险的因素(海拔,坡度,坡向,距道路线的距离,距定居点的距离,地表温度和林分类型)。使用地理信息系统(GIS)技术,层次分析法和频率比率法分析了研究中使用的因素。生成的森林火灾敏感性图分为5类,包括极低,极低,中度,高度易燃。为了查看所产生的森林火灾敏感性图与实际情况之间的对应关系,将森林火灾敏感性图和森林火灾清单图进行了高度比较,并根据多标准决策分析方法检测到了73.92%的对应关系,而在频率比方法中检测到76.42%的对应关系。结果,得出结论,高敏感区和非常高敏感区在研究区域中占主导地位,该地点具有很高的森林火灾隐患。最终,这项研究表明,GIS可以用作在森林火灾规划过程中做出有效决策的工具。对森林火灾敏感性图和森林火灾清单图进行了高度比较,根据多准则决策分析方法检测到73.92%的对应关系,而在频率比率法中检测到的76.42%的对应关系。结果,得出结论,高敏感区和非常高敏感区在研究区域中占主导地位,并且该地点具有很高的森林火灾隐患。最终,这项研究表明,GIS可以用作在森林火灾规划过程中做出有效决策的工具。对森林火灾敏感性图和森林火灾清单图进行了高度比较,根据多准则决策分析方法发现了73.92%的对应关系,而在频率比率方法中发现了76.42%的对应关系。结果,得出结论,高敏感区和非常高敏感区在研究区域中占主导地位,该地点具有很高的森林火灾隐患。最终,这项研究表明,GIS可以用作在森林火灾规划过程中做出有效决策的工具。而且该地点的森林火灾可能性很高。最终,这项研究表明,GIS可以用作在森林火灾规划过程中做出有效决策的工具。而且该地点的森林火灾可能性很高。最终,这项研究表明,GIS可以用作在森林火灾规划过程中做出有效决策的工具。

更新日期:2020-07-10
down
wechat
bug