Procjena mjesečnog potencijala opasnosti od šumskih požara pomoću analitičkog hijerarhijskog procesa zasnovanog na GIS-u u jugozapadnom dijelu Turske

Merih Göltaş, Hamit Ayberk, Omer Küçük
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Abstract

Every year, more than ten thousand hectares of forest in Türkiye are affected by fires. The majority of forest fires occurs in the southern part of Türkiye, where conifer forests and maquis prone to fire are abundant. Forest fires can lead to the loss of human lives, properties and natural resources. Knowledge of Forest Fire Danger Potential (FFDP) is critical to protect lives, properties, and natural resources from fire damage. We modeled and mapped FFDP with a GIS-based Analytic Hierarchy Process. The FFDP model was developed based on nine environmental factors that affect fire behavior, including maximum temperature, precipitation, wind speed, species composition, development stage, canopy cover, slope, aspect, and elevation. FFDP was mapped and thoroughly assessed. The results showed that FFDP was significantly correlated with maximum temperature, precipitation, and species composition. We found that the FFDP differed considerably on a monthly basis. Forest lands in the study area of 2% in May, 50% in June, 65% in July, 61% in August, 25% in September, and 0% in October belonged to the extreme danger class. For model evaluation, we compared fire locations from 2008 to 2018 with those on the FFDP maps and then controlled the actual number of fires in each category and its fire danger class. The dominant danger classes of the study area according to the months were: extreme class in June, July, and August (50%, 65% and 61%, respectively), high class in May and September (74% and 68%, respectively) and moderate class in October (82%). This danger classes were more affected by fires. We observed that FFDP changed significantly by month. The amount of burned area per fire was the highest in the extreme danger class in August and July (3.39 ha and 2.14 ha, respectively). The amount of burned area was higher in areas with extreme or high fire danger class. This study can guide fire organizations in pre-fire management planning, firefighting, and post-fire studies.
Procjena mjesečnog potencijala opasnosti od šumskih požara pomoću analitičkog hijerarhijskog proces zasnovanog na GIS-u u jugozapadnom dijelu Turske
每年,土耳其都有超过一万公顷的森林遭受火灾。大部分森林火灾发生在图尔基耶南部地区,那里盛产针叶林和易起火的灌木林。森林火灾可导致生命、财产和自然资源的损失。了解森林火险潜势 (FFDP) 对于保护生命、财产和自然资源免受火灾损失至关重要。我们利用基于地理信息系统的层次分析法(Analytic Hierarchy Process)对森林火险潜势进行建模和绘图。FFDP 模型是根据影响火灾行为的九个环境因素开发的,包括最高温度、降水、风速、物种组成、发展阶段、树冠覆盖、坡度、地势和海拔。对 FFDP 进行了测绘和全面评估。结果表明,FFDP 与最高气温、降水量和物种组成显著相关。我们发现,FFDP 的月度差异很大。研究区域的林地中,5 月份有 2%、6 月份有 50%、7 月份有 65%、8 月份有 61%、9 月份有 25%、10 月份有 0%属于极度危险等级。为了对模型进行评估,我们将 2008 年至 2018 年的火灾地点与 FFDP 地图上的火灾地点进行了比较,然后控制了每个类别及其火灾危险等级的实际火灾数量。根据月份划分,研究区域的主要危险等级为:6 月、7 月和 8 月为极度危险等级(分别为 50%、65% 和 61%),5 月和 9 月为高度危险等级(分别为 74% 和 68%),10 月为中度危险等级(82%)。这些危险等级受火灾的影响较大。我们观察到,FFDP 在不同月份的变化很大。在 8 月和 7 月,极度危险等级的每次火灾烧毁面积最大(分别为 3.39 公顷和 2.14 公顷)。极度或高度火险等级地区的燃烧面积更大。这项研究可为消防组织的火前管理规划、灭火和火后研究提供指导。
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