Use of the Extreme Value Analysis in Determining Annual Probability of Exceedance for Bushfire Protection Design

Grahame Douglas, Yaping He, Yang Xiang, E. Morris
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引用次数: 4

Abstract

Historically extreme value analysis has been used to guide human activities against many forms of natural hazards such as floods, storms, heat waves and wind. However, it has not been used for extreme fire weather assessment. This may be because forest fire danger index is a composite of differing parameters which may not be regarded as being associated with adverse fire weather individually, however, collectively may result in Extreme fire weather conditions. This paper offers new insights in the use of the extreme value analysis for the McArthur Forest Fire Danger Index (FFDI) so as to provide a scientific basis for planning, development and building construction in bushfire prone areas. The underlying principle is to use the recurrence of fire weather as measured by FFDI as the planning or design fire weather reference. The recurrence is determined by the applying the Generalised Extreme Value Analysis to local historical weather data of limited time period. The resultant distribution is fitted with an appropriate regression curve which allows the extrapolation beyond the available weather data recording period. The method is applied to a number of weather districts in the state of New South Wales of Australia. The derived FFDIs corresponding to the nominated recurrence is compared with the FFDIs based on traditional empirical methods.
极值分析在确定森林防火设计年超越概率中的应用
历史上,极值分析已被用于指导人类活动,以应对多种形式的自然灾害,如洪水、风暴、热浪和大风。然而,它还没有被用于极端火灾天气评估。这可能是因为森林火险指数是不同参数的组合,这些参数可能不被视为单独与不利的火灾天气有关,但集体可能导致极端的火灾天气条件。本文对McArthur森林火险指数(FFDI)极值分析的应用提出了新的见解,为林火易发地区的规划、开发和建筑施工提供科学依据。基本原则是使用FFDI测量的火灾天气的重现性作为规划或设计火灾天气的参考。将广义极值分析应用于有限时间内的本地历史天气资料,确定了这种重现性。所得到的分布与一条适当的回归曲线拟合,使外推可以超越现有的天气数据记录期。该方法应用于澳大利亚新南威尔士州的一些天气区。并与基于传统经验方法的ffdi进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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