确定地方一级野火减灾行动的优先事项:从葡萄牙采用的新型风险分析方法中获得的启示

IF 2.7 3区 农林科学 Q2 ECOLOGY Frontiers in Forests and Global Change Pub Date : 2023-12-14 DOI:10.3389/ffgc.2023.1270210
A. Benali, B. Aparício, Ana Gonçalves, Sandra Oliveira
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引用次数: 0

摘要

在葡萄牙,2017 年的火灾季节尤为极端,导致前所未有的大量人员死亡、受伤、房屋和基础设施被毁。这些戏剧性的结果有助于提高人们对确保人员和资产安全免受高强度、不可控制的野火影响的重要性的认识。我们开发了一种简单的方法,将风险和脆弱性结合起来,以估算当地的野火风险。我们采用模拟火灾蔓延的方法来估算野火风险,该方法用于确定以下情况发生的概率:(i) 野火产生的火带可能影响居民点;(ii) 居民点附近发生高强度野火。估算风险时使用了两种燃料情景,分别代表当前的 2023 年(短期情景)和 2030 年(中期最坏情况情景),假定在此期间不进行燃料管理,也不发生大型火灾。脆弱性由 (i) 总依赖指数 (IDT) 和 (ii) 疏散难度决定。风险暴露度和脆弱性指标以百分位数进行归一化处理,并按象限进行分布和组合,以提供六个等级的野火风险。对于每种脆弱性/暴露组合,我们都提出了一套优先缓解行动。结果显示,8.7% 的居民点野火风险 "非常高",约 19.5% 的居民点野火风险 "高",分别可能影响 8403 和 34762 名居民。在整个研究地区,风险较高的居民点的空间分布非常不均匀,总比例从科英布拉的 14% 到巴拉文托-阿尔加维奥的 36% 不等。研究地区的总体减灾计划实施率非常低,只有约 1%的 "极高 "风险住区实施了任何减灾计划。应用这种风险分析方法可以评估减灾行动的实施状况,并有助于根据每个目标地区的具体情况,量身定制能最大限度保护人员和财产安全的行动。
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Defining priorities for wildfire mitigation actions at the local scale: insights from a novel risk analysis method applied in Portugal
In Portugal, the 2017 fire season was particularly extreme, leading to an unprecedented large number of fatalities, injured people, destruction of houses and infrastructures. These dramatic outcomes have contributed to raise awareness regarding the importance of ensuring the safety of people and assets from high intensity uncontrollable wildfires. It is crucial to identify the settlements at higher risk and the most suitable mitigation actions that can maximize the protection of people and assets.We developed a simple methodology that combines exposure and vulnerability to estimate wildfire risk at the local level. Exposure was estimated using a fire spread simulation approach that was used to determine the probability of (i) a wildfire generating firebrands that could affect a settlement and (ii) a high intensity wildfire occurring adjacent to a settlement. Exposure was estimated using two fuel scenarios created to represent the current year of 2023 (short-term scenario) and 2030, assuming that no fuel management nor large fires occur in the meantime (medium-term worst-case scenario). Vulnerability was determined by the (i) Index of Total Dependence (IDT), and (ii) evacuation difficulty. Exposure and vulnerability metrics were normalized in percentiles, distributed into quadrants and combined to provide six levels of wildfire risk. For each vulnerability\exposure combination, we proposed a set of priority mitigation actions. The methodology was applied to three areas in Portugal where the risk estimates were analyzed and compared with the implementation rate of two risk mitigation programs already in place.Results showed that 8.7% of the settlements had “very high” wildfire risk and about 19.5% had “high” wildfire risk, potentially affecting 8,403 and 34,762 inhabitants, respectively. The spatial distribution of settlements at higher risk was very heterogeneous across the study areas and the total fraction ranged between 14% in Coimbra to 36% in Barlavento Algarvio. The overall implementation of mitigation programs in the study areas is very low, with only around 1% of the settlements in “very high” risk having any of the mitigation programs implemented. Conversely, our results also suggest that the implementation rate in settlements classified in lower risk classes is disproportionately high.The application of this risk analysis methodology can be used to assess the implementation status of mitigation actions, and contribute to tailor the actions that maximize the protection of people and assets according to the specific conditions found in each targeted area.
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来源期刊
CiteScore
4.50
自引率
6.20%
发文量
256
审稿时长
12 weeks
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