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首页> 外文期刊>Hydrology and Earth System Sciences >Relationships between statistics of rainfall extremes and mean annual precipitation: an application for design-storm estimation in northern central Italy
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Relationships between statistics of rainfall extremes and mean annual precipitation: an application for design-storm estimation in northern central Italy

机译:极端降雨统计数据与年平均降水量之间的关系:意大利中北部设计暴风雨估算的应用

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摘要

Several hydrological analyses need to be founded on a reliable estimate of the design storm, which is the expected rainfall depth corresponding to a given duration and probability of occurrence, usually expressed in terms of return period. The annual series of precipitation maxima for storm duration ranging from 15 min to 1 day, observed at a dense network of raingauges sited in northern central Italy, are analyzed using an approach based on L-moments. The analysis investigates the statistical properties of rainfall extremes and detects significant relationships between these properties and the mean annual precipitation (MAP). On the basis of these relationships, we developed a regional model for estimating the rainfall depth for a given storm duration and recurrence interval in any location of the study region. The applicability of the regional model was assessed through Monte Carlo simulations. The uncertainty of the model for ungauged sites was quantified through an extensive crossvalidation.
机译:需要在设计风暴的可靠估计基础上进行一些水文分析,这是与给定的持续时间和发生概率相对应的预期降雨深度,通常以恢复期来表示。使用基于L矩的方法分析了在意大利中部北部密集的雨量计网络上观测到的15分钟至1天风暴持续时间的年度最大降水序列。该分析调查了极端降雨的统计特性,并发现了这些特性与年平均降水量(MAP)之间的显着关系。在这些关系的基础上,我们开发了一个区域模型,用于估计研究区域任何位置在给定风暴持续时间和复发间隔下的降雨深度。通过蒙特卡洛模拟评估了区域模型的适用性。通过广泛的交叉验证,可以对未测量位点的模型的不确定性进行量化。

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