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Preliminary Study of Computational Time Steps in a Physically Based Distributed Rainfall–Runoff Model

机译：基于物理的分布式降雨径流模型中计算时间步长的初步研究

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The choice of the computational time step ( dt ) value and the method for setting dt can have a bearing on the accuracy and performance of a simulation, and this effect has not been comprehensively researched across different simulation conditions. In this study, the effects of the fixed time step (FTS) method and the automatic time step (ATS) method on the simulated runoff of a distributed rainfall–runoff model were compared. The results revealed that the ATS method had less peak flow variability than the FTS method for the virtual catchment. In the FTS method, the difference in time step had more impact on the runoff simulation results than the other factors such as differences in the amount of rainfall, the density of the stream network, or the spatial resolution of the input data. Different optimal parameter values according to the computational time step were found when FTS and ATS were used in a real catchment, and the changes in the optimal parameter values were smaller in ATS than in FTS. The results of our analyses can help to yield reliable runoff simulation results.
机译：计算时间步长（dt）值的选择和dt的设置方法可能会影响仿真的准确性和性能，并且尚未在不同的仿真条件下对这种影响进行全面研究。在这项研究中，比较了固定时间步长（FTS）方法和自动时间步长（ATS）方法对分布式降雨-径流模型的模拟径流的影响。结果表明，对于虚拟流域，ATS方法的峰值流量变异性小于FTS方法。在FTS方法中，时间步长差异对径流模拟结果的影响大于其他因素，例如降雨量，流网密度或输入数据的空间分辨率的差异。在实际流域中使用FTS和ATS时，根据计算时间步长会发现不同的最佳参数值，并且ATS中的最佳参数值的变化比FTS中的小。我们的分析结果可以帮助产生可靠的径流模拟结果。

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