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An Inversion Method to Estimate Parameters of Canal Water Transport Model Based on Uniform Experiment

机译:基于均匀实验的运河输水模型参数反演方法

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摘要

Based on the uniform experimental design theory, an inversion method for estimation of infiltration and roughness parameters of the unsteady flow model of a long distance canal is presented. In order to exactly simulate the unsteady flow transport process in a canal, variations of seepage rate with water transport time and roughness coefficient with canal flow depth are taken into account. In the case of many canal subsections, too many parameters need to be estimated. According to the practical considerations of the Emergency Project of diversion Yellow River water to Tianjin and uniform experiment theory, we designed a uniform experiment for estimation of 19 parameters for 6 canal sections. We set 10 levels for each parameter, and an unsteady flow calculation approach and observed data are used for parameter estimation. The results show that the proposed method can reduce calculation complexity and yield acceptable parameter estimates.
机译:基于统一的实验设计理论,提出了一种估算长距离非恒定流模型入渗量和粗糙度参数的反演方法。为了精确模拟运河中的非恒定流传输过程,考虑了渗流率随输水时间的变化以及粗糙度系数随运河水深的变化。对于许多运河分段,需要估计太多参数。根据黄河引水应急工程的实际考虑和统一的实验理论,设计了一个统一的实验,估算了6条渠段的19个参数。我们为每个参数设置10个级别,并使用非恒定流计算方法和观察到的数据进行参数估计。结果表明,该方法可以降低计算复杂度,并得到可接受的参数估计。

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