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Critical drought intensity-duration-frequency curves based on total probability theorem-coupled frequency analysis

机译:基于总概率定理耦合频率分析的关键干旱强度持续时间曲线

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A methodology using the standardised precipitation index is proposed to develop critical drought intensity-duration-frequency (IDF) curves. We define dry periods within which we recognise droughts of different durations. The most severe drought for each drought duration in each year is called the critical drought. The total probability theorem-coupled frequency analysis is used to determine the best-fit probability distribution function of drought severity, which is then converted to intensity. The generalised extreme value probability distribution function is found to best fit the critical drought severity. The methodology is implemented using monthly precipitation data for a meteorological station in Turkey. The critical drought intensity decreases linearly with increasing drought duration, whereas the return period increases exponentially when the drought becomes more severe. The site-specific IDF curves furnished with an empirical relationship between the intensity and return period allow one to characterise the drought not by an index-based intensity but by its return period. This kind of presentation is physically easier to understand, in particular for stakeholders and decision makers in practice.
机译:建议使用标准化降水指数的方法来开发临界干旱强度持续时间(IDF)曲线。我们在其中定义干燥的时期,我们识别不同持续时间的干旱。每年的每个干旱持续时间最严重的干旱被称为危急干旱。总概率定理耦合频率分析用于确定干旱严重程度的最佳拟合概率分布功能,然后转换为强度。发现广义极值概率分布函数最适合临界性灾害严重程度。使用土耳其气象站的月度降水数据实施方法。随着干旱持续时间的增加,临界干旱强度线性降低,而当干旱变得更严重时,返回期随着呈指数增加。特定于特定的IDF曲线提供的强度和返回时期之间的经验关系允许其中的是不通过基于索引的强度来表征干旱,而是通过其返回期。这种演示文稿在实际上更容易理解,特别是为了利益相关者和决策者在实践中。

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