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Regional Frequency Analysis of Droughts in Portugal

机译:葡萄牙的干旱区域频率分析

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This study investigated the frequency of droughts for the period September 1910 to October 2004 in mainland Portugal, based on monthly precipitation data from 144 rain gauges distributed across the country. The drought events were characterized using the standardized precipitation index (SPI) applied to time scales of 1, 3,6 and 12 consecutive months. Based on the SPI time scale series a regional frequency analysis of drought magnitudes was undertaken using two approaches: annual maximum series (AMS) and partial duration series (PDS). Three spatially defined regions (north, central and south) were identified by cluster analysis and analyzed for homogeneity. Maps of drought magnitude were developed using a kriging technique for several return periods. Similar uniform spatial patterns were found throughout the country using the AMS and PDS approaches. For several SPI time scales a comparison of the observed and estimated maximum magnitude (269-year empirical return period) showed that the AMS combined with the selected probability distribution models (Pearson type III, general Pareto and Kappa) provided better results than the PDS approach combined with the same models. A general and simplified characterization of drought duration revealed a relatively uniform pattern of droughts events across the country.
机译:这项研究基于来自全国144个雨量器的每月降水数据,调查了1910年9月至2004年10月葡萄牙大陆的干旱频率。干旱事件使用标准降水指数(SPI)进行表征,该指数适用于连续1、3、6和12个月的时间尺度。基于SPI时间尺度序列,使用两种方法进行了干旱强度的区域频率分析:年度最大序列(AMS)和部分持续时间序列(PDS)。通过聚类分析确定三个空间定义的区域(北部,中部和南部),并分析其同质性。使用克立格技术绘制了干旱强度图,用于几个回归期。使用AMS和PDS方法在全国范围内发现了相似的统一空间格局。对于几个SPI时间尺度,比较观察到的最大幅度和估计的最大幅度(269年的经验回报期)表明,AMS与选定的概率分布模型(Pearson III型,一般Pareto和Kappa)相结合提供了比PDS方法更好的结果与相同的模型结合。干旱持续时间的一般和简化特征表明,全国干旱事件的模式相对统一。

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