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A look at the links between drainage density and flood statistics

机译:看排水密度与洪水统计之间的联系

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摘要

We investigate the links between the drainage density of a river basin and selected flood statistics, namely, mean, standard deviation, coefficient of variation and coefficient of skewness of annual maximum series of peak flows. The investigation is carried out through a three-stage analysis. First, a numerical simulation is performed by using a spatially distributed hydrological model in order to highlight how flood statistics change with varying drainage density. Second, a conceptual hydrological model is used in order to analytically derive the dependence of flood statistics on drainage density. Third, real world data from 44 watersheds located in northern Italy were analysed. The three-level analysis seems to suggest that a critical value of the drainage density exists for which a minimum is attained in both the coefficient of variation and the absolute value of the skewness coefficient. Such minima in the flood statistics correspond to a minimum of the flood quantile for a given exceedance probability (i.e., recurrence interval). Therefore, the results of this study may provide useful indications for flood risk assessment in ungauged basins.
机译:我们研究了流域的排水密度与选定的洪水统计之间的联系,即均值,标准差,变异系数和年最大洪峰流量偏斜系数。调查是通过三阶段分析进行的。首先,通过使用空间分布的水文模型进行数值模拟,以突出洪水统计如何随着排水密度的变化而变化。其次,使用概念性水文模型来分析得出洪水统计数据对排水密度的依赖性。第三,分析了来自意大利北部44个流域的真实数据。三级分析似乎表明存在排水密度的临界值,对于该临界值,变异系数和偏度系数的绝对值均达到最小值。对于给定的超出概率(即重复间隔),洪水统计中的这种最小值对应于洪水分位数的最小值。因此,这项研究的结果可能为无流域的洪水风险评估提供有用的指示。

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