Assessment of the Impact of Spatial Variability on Streamflow Predictions Using High-Resolution Modeling and Parameter Estimation: Case Study of Geumho River Catchment, South Korea
Bomi Kim,
Garim Lee,
Yaewon Lee,
Sohyun Kim,
Seong Jin Noh
Affiliations
Bomi Kim
Department of Civil Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea
Garim Lee
Department of Civil Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea
Yaewon Lee
Department of Civil Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea
Sohyun Kim
Department of Civil Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea
Seong Jin Noh
Department of Civil Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea
In this study, we analyzed the impact of model spatial resolution on streamflow predictions, focusing on high-resolution scenarios (NSE values of 0.8 or higher were demonstrated at lower gauging locations. Also, at a 250 m resolution, the changes in the calibrated parameter values (REFKDT) were minimized between Rainfall Events 1 and 2, implicating more effective calibration compared to the other resolutions. At resolutions of 100 m and 500 m, the optimal parameter values for the two events were distinctively different while more computational resources were required for calibration in Event 2 with drier antecedent conditions.
