基于GIS技术和AHP方法的森林火灾风险制图——以土耳其博德鲁姆为例

A. Akay, H. Sahin
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引用次数: 24

摘要

在土耳其,位于马尔马拉、爱琴海和地中海沿岸的森林地区对火灾非常敏感。由于森林火灾,每年约有1万公顷的森林面积遭到破坏。早期发现和快速干预是消防工作的关键之一。为了实现这一目标,首先要确定有火灾风险的森林区域,特别是对火灾敏感的森林区域。森林火灾风险的评估可以考虑多种风险因素,如林分结构、地形因素、与某些特征(道路、住区和水资源)的接近程度以及气候因素。本研究采用GIS技术和层次分析法(AHP)对土耳其穆格拉省博德鲁姆省一级火敏感林地进行了森林火灾风险图的绘制。结果表明,林区火险等级为极高和高度的林区面积分别为11.83%和21.98%,中度和低度林区面积分别为22.28%和25.93%。其余研究区域的火灾风险非常低(17.98%)。为了将火险图与研究区实际发生的森林火灾进行比较,将其与显示研究区过去5年发生森林火灾(>1.0 ha)的森林成分的火灾图重叠。结果发现,在火灾风险图中,38.32%的火灾破坏区域被划分为高、超高火灾危险区,28.44%的火灾破坏区域被划分为中度火灾危险区。结果表明,树种是最有效的危险因素,其次是树龄和邻近水源。研究表明,将GIS技术与层次分析法相结合,是在短时间内完成森林火灾危险区地图的有效方法。
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Forest Fire Risk Mapping by using GIS Techniques and AHP Method: A Case Study in Bodrum (Turkey)
In Turkey, forest areas located along the coastline of the Marmara, the Aegean and the Mediterranean regions are very sensitive to fire. As a result of forest fires, about 10000 hectares of forest area is damaged annually. One of the key elements in firefighting is early detection and quick intervention. In order to achieve this goal, first of all, the forest areas with fire risk should be determined especially for fire sensitive forest areas. The forest fire risk can be evaluated considering various risk factors such as stand structures, topographic factors, proximity to some features (roads, settlements, and water resources), and climatic factors. In this study, GIS techniques and Analytic Hierarchy Process (AHP) method was used to produce forest fire risk map for the first degree fire sensitive forest land located in Bodrum province of Mugla in Turkey. The results indicated that 11.83% and 21.98% of the forest area was categorized as very high and high fire risk, respectively, while 22.28% and 25.93% was moderate and low fire risk, respectively. The fire risk was found to be very low at the rest of the study area (17.98%). To compare the fire risk map with actual forest fire occurrences in the study area, it was overlapped with the fire map indicating forest components where previous forest fires (>1.0 ha) occurred in the study area in last five years. It was found that 38.32% of the areas damaged by the previous fires were categorized as high and very high fire risks zones in fire risk map, while 28.44% was moderate fire risk zones. The result showed that tree species was the most effective risk factor, followed by tree stages and proximity to water resources. This study revealed that the combination of GIS techniques and AHP method is very advantageous approach to map forest areas with fire risk in short time.
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来源期刊
European Journal of Forest Engineering
European Journal of Forest Engineering Agricultural and Biological Sciences-Forestry
CiteScore
1.30
自引率
0.00%
发文量
6
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