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RIVER INSTANTANEOUS PEAK FLOW ESTIMATION USING MEAN DAILY FLOW DATA

机译：利用平均每日流量数据估算河流瞬时峰值流量

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Estimation of the design flood flow for hydraulic structures is often performed adjusting probabilistic models to daily mean flow series. In most of the cases this may cause an underdesign of the structure capacity with possible risks of failure, because instantaneous peak flows may be considerably larger than daily averages. Therefore estimation of the instantaneous peak flows is often needed for simulation of the reservoir operation based on the hydraulic characteristics of the structures and the operation rules. Because there is often a lack of instantaneous flow data at a given site of interest, the peak flow has to be estimated. This paper develops a new ANN based method to estimate the instantaneous peak flow from mean daily flow data. This methodology was successfully applied to a series of flow information from gauging stations in Iran, with important improvements compared to the traditional methods available in the literature.
机译：通常通过将概率模型调整为每日平均流量序列来估算水工建筑物的设计洪水流量。在大多数情况下，这可能会导致结构能力设计不足，并可能导致故障，因为瞬时峰值流量可能会大大大于每日平均值。因此，基于结构的水力特性和运行规则，通常需要估算瞬时峰值流量来模拟储层的运行。由于在给定的感兴趣位置经常缺少瞬时流量数据，因此必须估算峰值流量。本文开发了一种基于ANN的新方法，可从平均每日流量数据估算瞬时峰值流量。该方法已成功应用于伊朗测量站的一系列流量信息，与文献中的传统方法相比，具有重要的改进。

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