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Nonstationarities in the occurrence rates of flood events in Portuguese watersheds

机译:葡萄牙流域洪水事件发生率的非平稳性

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摘要

An exploratory analysis on the variability of flood occurrence rates in 10 Portuguese watersheds is made, to ascertain if that variability is concurrent with the principle of stationarity. A peaks-over-threshold (POT) sampling technique is applied to 10 long series of mean daily streamflows and to 4 long series of daily rainfall in order to sample the times of occurrence (POT time data) of the peak values of those series. The kernel occurrence rate estimator, coupled with a bootstrap approach, was applied to the POT time data to obtain the time dependent estimated occurrence rate curves, λspan style="position: relative; margin-left: -0.45em; top: -0.3em;"?/span(it/i), of floods and extreme rainfall events. The results of the analysis show that the occurrence of those events constitutes an inhomogeneous Poisson process, hence the occurrence rates are nonstationary. An attempt was made to assess whether the North Atlantic Oscillation (NAO) casted any influence on the occurrence rate of floods in the study area. Although further research is warranted, it was found that years with a less-than-average occurrence of floods tend to occur when the winter NAO is in the positive phase, and years with a higher occurrence of floods (more than twice the average) tend to occur when the winter NAO is in the negative phase. Although the number of analyzed watersheds and their uneven spatial distribution hinders the generalization of the findings to the country scale, the authors conclude that the mathematical formulation of the flood frequency models relying on stationarity commonly employed in Portugal should be revised in order to account for possible nonstationarities in the occurrence rates of such events.
机译:对葡萄牙10个流域的洪水发生率变化进行了探索性分析,以确定该变化是否与平稳性原理同时发生。为了对这些序列的峰值的出现时间(POT时间数据)进行采样,将峰值阈值(POT)采样技术应用于10个长期序列的平均日流量和4个长期序列的每日降雨。将内核发生率估计器与引导方法结合使用,将其应用于POT时间数据,以获得与时间相关的估计发生率曲线λ style =“ position:relative; margin-left:-0.45em; top: -0.3em;“>?( t ),涉及洪水和极端降雨事件。分析结果表明,这些事件的发生构成了不均匀的泊松过程,因此发生率是不稳定的。试图评估北大西洋涛动(NAO)是否对研究区域的洪水发生率产生了任何影响。尽管有必要进行进一步的研究,但发现当冬季NAO处于积极阶段时,洪水发生的年数往往少于平均水平,而洪水发生的年份则多(平均水平的两倍多)。在冬季NAO处于负相时发生。尽管所分析的流域的数量及其不均匀的空间分布阻碍了调查结果推广到国家规模,但作者得出结论,应修正葡萄牙普遍采用的平稳性的洪水频率模型的数学公式,以考虑可能的情况。此类事件的发生率不稳定。

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