Analysis of Wildfire Susceptibility by Weight of Evidence, Using Geomorphological and Environmental Factors in the Marche Region, Central Italy

Matteo Gentilucci, Maurizio Barbieri, Hamed Younes, Hadji Rihab, Gilberto Pambianchi
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Abstract

Fires are a growing problem even in temperate climate areas, such as those in Central Italy, due to climate change leading to longer and longer periods of drought. Thus, knowing the fire susceptibility of an area is crucial for good planning and taking appropriate countermeasures. In this context, it was decided to use only causal factors of a geomorphological and environmental nature in order to obtain a fire susceptibility analysis that can also be applied to climatically under-sampled areas. Vector data of fires in Central Italy from 2005 to 2023 were collected, and the correct areal extent was calculated for each. At the same time, six factors were selected that could have an influence on fire development, such as ecological units, topographic wetness index (TWI), geology, slope, exposure, and altitude. The model was obtained by means of the weight of evidence statistical method, which takes into account past data by reinterpreting them in a future-oriented way on the basis of the identified factors and classes. The model was validated with a test sample and shows an area under the curve (AUC) value of 0.72 with a reliability that can be described as good considering the total absence of climatic factors that are known to play a major role in fire development. Furthermore, the identified causal factors were divided into classes, and these were carefully weighted in order to define their relative influence in the study area. Particularly Ecological Units with characteristic and well-defined contrast (C) values, which could lead to a more complete definition of forests that tend to increase fire susceptibility and those that tend to decrease it, allowing the latter to be exploited as a hazard mitigation agent.
利用意大利中部马尔凯大区的地貌和环境因素,通过证据权重分析野火易发性
由于气候变化导致干旱期越来越长,即使在温带气候地区,如意大利中部地区,火灾问题也日益严重。因此,了解一个地区的火灾易发性对于做好规划和采取适当的应对措施至关重要。在这种情况下,我们决定只使用地貌和环境性质的因果因素,以获得火灾易发性分析,该分析也适用于气候取样不足的地区。我们收集了 2005 年至 2023 年意大利中部地区的火灾矢量数据,并计算出了每场火灾的正确面积范围。同时,还选择了六个可能影响火灾发展的因素,如生态单位、地形湿润指数(TWI)、地质、坡度、暴露程度和海拔高度。该模型是通过证据权重统计方法获得的,该方法考虑到了过去的数据,在确定的因素和类别的基础上,以面向未来的方式重新解释了这些数据。通过测试样本对模型进行了验证,结果显示曲线下面积(AUC)值为 0.72,考虑到完全不存在已知对火灾发展起主要作用的气候因素,该模型的可靠性可谓良好。此外,已确定的成因因素被划分为不同等级,并经过仔细加权,以确定它们在研究区域的相对影响。特别是具有特征性和明确对比度(C)值的生态单位,这可以更全面地界定哪些森林容易引发火灾,哪些森林容易引发火灾,从而将后者作为减轻灾害的手段加以利用。
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