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Study on Watershed Routing Based on Stochastic Theory

机译:基于随机理论的流域路径研究

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Hydrologic model parameters which are certain randomness were optimized by analyzed measured data. Nash model was based on the application of stochastic theory to study watershed routing for model parameters of stochastic problem. Parameter K as a random variable was introduced to the Nash model, set up a watershed routing model with random coefficient and derived a random expression of S curve in the situation of model parameters separately for the normal distribution and gamma distribution. I t was better result, the model was applied calculation of Yandu river basin, it was better result simulated rainfall runoff process with application of stochastic theory to give a mean and variance of process flow. It reflect the flow of a stochastic process influence of model parameters.
机译:通过分析实测数据优化了一定随机性的水文模型参数。 Nash模型是基于随机理论的应用,研究随机问题模型参数的分水岭路由。将参数K作为随机变量引入Nash模型,建立具有随机系数的分水岭路由模型,并在模型参数分别为正态分布和伽马分布的情况下,得出S曲线的随机表达式。结果较好,该模型应用于盐都河流域计算,采用随机理论模拟降雨径流过程,给出了过程流量的均值和方差,是较好的结果。它反映了模型参数对随机过程的影响。

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