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Weather-related thresholds for wildfire danger in a Mediterranean region: The case of Greece

机译:地中海地区野火危险的与天气有关的门槛:希腊的情况

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摘要

The objective of the following paper is to identify weather-related thresholds for wildfire danger, i.e., the potential extent of fire, based on local weather conditions. The target area is Greece, a wildfire prone Mediterranean country which experienced on average 2000 wildfires annually over the last two decades. Initially, the Fire Weather Index (FWI) component of the Canadian Fire Weather Index (FWI) System (FWI System) adopted by the European Forest Fire Information System (EFFIS), is evaluated with respect to its wildfire danger predictive ability. Hence, weather and wildfire data at municipality level and on a daily basis, for the period 2000-2016 are exploited. The analysis showed that the FWI thresholds proposed by EFFIS for assessing the level of fire danger in Europe are too low for the case of Greece and, therefore, are not representative of the country's fire weather conditions. Two statistical approaches, cluster analysis and non-linear least-squares regression, are subsequently applied to determine the most appropriate FWI thresholds for discrete levels of wildfire danger. The results are presented in 4 sets of FWI thresholds and they are further evaluated on the basis of verification measures. All sets of FWI thresholds were found to significantly improve the predictability of wildfire danger compared to the EFFIS fire danger class thresholds. In particular, two of them were found to meet selected performance requirements for a balanced predictive performance, namely a reduced overestimation of wildfire danger and increased reliability in danger classification. The results are expected to have significant practical implications for wildfire prevention and risk mitigation strategies implemented by the forest fire control agencies of the country.
机译:以下论文的目的是识别野火危险的天气相关的阈值,即基于当地天气条件。目标区域是希腊,一个野火普遍的地中海,在过去的二十年里平均每年有2000个野火。最初,欧洲森林火灾信息系统(Effis)采用的加拿大防火天气指数(FWI)系统(FWI系统)的消防天气指数(FWI)组成部分得到了野火危险预测能力。因此,在2000 - 2016年期间,自治权水平和每天的天气和野火数据被利用。分析表明,对于评估欧洲火灾危险水平的Effis提出的FWI阈值对于希腊的情况来说太低,因此,不代表该国的火灾天气条件。随后应用了两个统计方法,聚类分析和非线性最小二乘性回归,以确定用于离散水平的野火危险的最合适的FWI阈值。结果以4套FWI阈值提出,它们进一步基于验证措施进行评估。与EffiS Fire危险课程阈值相比,发现所有FWI阈值都发现了显着提高野火危险的可预测性。特别是,其中两个人被发现满足所选择的性能要求,以实现平衡的预测性能,即减少野火危险的高度估计,并提高了危险分类的可靠性。预计结果将对该国森林防治机构实施的野火预防和风险缓解策略具有显着的实际影响。

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