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

• Main Authors: Yun Seok Choi, Mun-Ju Shin, Kyung Tak Kim
• Format: Article
• Language: English
• Published: MDPI AG 2018-09-01
• Series: Water
• Subjects: computational time step; automatic time step; fixed time step; distributed rainfall–runoff model; peak flow percentage error
• Online Access: http://www.mdpi.com/2073-4441/10/9/1269

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.