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首页> 外文期刊>Journal of Hydrology >Generalised storage-yield-reliability modelling: Independent validation of the Vogel-Stedinger (V-S) model using a Monte Carlo simulation approach
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Generalised storage-yield-reliability modelling: Independent validation of the Vogel-Stedinger (V-S) model using a Monte Carlo simulation approach

机译:广义的存储-产量-可靠性建模:使用蒙特卡洛模拟方法对Vogel-Stedinger(V-S)模型进行独立验证

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The generalised storage-yield-reliability model by Vogel and Stedinger (V-S) is widely used in the literature but there has never been a complete validation of the model with measured river runoff data. This study investigated the problem using three different river runoff data records within a Monte Carlo simulation framework. The V-S model is predicated on the assumption that the probability distribution of reservoir capacity can be described by the 3-parameter log-normal density function. The results showed that the V-S model over-predicted reservoir capacity quantiles for most yield (or demand) ratios but especially so for very high (>0.8) yield ratios. Further investigations revealed that the poor performance of the V-S model was caused by the huge errors associated with its expression for two of the three parameters of the 3-parameter log-normal distribution, i.e. the variance and the lower limit, although the mean of the distribution was relatively well predicted.
机译:Vogel和Stedinger(V-S)提出的广义存储-产量-可靠性模型已在文献中广泛使用,但从未用测得的河流径流数据对该模型进行完整的验证。这项研究在蒙特卡洛模拟框架内使用三个不同的河流径流数据记录调查了这个问题。 V-S模型的前提是,储层容量的概率分布可以用三参数对数正态密度函数描述。结果表明,对于大多数产量(或需求)比率,V-S模型高估了储层容量的分位数,但对于非常高(> 0.8)的产量比率,尤其如此。进一步的研究表明,VS模型的较差性能是由与3参数对数正态分布的三个参数中的两个参数(即方差和下限)的表达式相关的巨大误差引起的,尽管分布相对较好。

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