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Runoff thresholds in derived flood frequency distributions

机译:导出洪水频率分布中的径流阈值

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摘要

In general, different mechanisms may be identified as responsible of runoffgeneration during ordinary events or extraordinary events at the basin scale.In a simplified scheme these mechanisms may be represented by differentrunoff thresholds. In this context, the derived flood frequency model, basedon the effect of partial contributing areas on peak flow, proposed byIacobellis and Fiorentino (2000), was generalized by providing a newformulation of the derived distribution where two runoff components areexplicitly considered. The model was tested on a group of basins in SouthernItaly characterized by annual maximum flood distributions highly skewed. Theapplication of the proposed model provided good results in terms ofdescriptive ability. Model parameters were also found to be well correlatedwith geomorphological basin descriptors. Two different threshold mechanisms,associated respectively to ordinary and extraordinary events, wereidentified. In fact, we found that ordinary floods are mostly due to rainfallevents exceeding a threshold infiltration rate in a small source area, whilethe so-called outlier events, responsible of the high skewness of flooddistributions, are triggered when severe rainfalls exceed a threshold storagein a large portion of the basin.
机译:一般而言,在流域尺度上的普通事件或异常事件期间,可以将不同的机制识别为造成径流的原因。在简化方案中,这些机制可以由不同的径流阈值表示。在这种情况下,由Iacobellis和Fiorentino(2000)提出的基于部分贡献区域对峰值流量的影响的推导洪水频率模型通过提供推导分布的新公式进行了概括,其中明确考虑了两个径流分量。该模型在意大利南部的一组盆地上进行了测试,这些盆地的特征是年度最大洪水分布高度偏斜。该模型的应用在描述能力方面提供了良好的结果。还发现模型参数与地貌盆地描述符具有很好的相关性。确定了分别与普通事件和异常事件相关的两种不同的阈值机制。实际上,我们发现普通洪水主要是由于小源区降雨事件超过了入渗率阈值而引起的,而所谓​​的离群事件是洪水的高偏度所造成的,当大范围降雨超过了阈值存储量时就会触发盆地的一部分。

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