Application of TOPMODEL to Long- and Short-term Runoff of Small Forested Catchment. Comparison with Long- and Short-Term Runoff Model.

Tada, Akio; Namihira, Atsushi; Tanakamaru, Haruya; Hata, Takeshi

doi:10.3178/jjshwr.15.399

Cited by 3 publications

(1 citation statement)

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“…where E( ) denotes the average topographic indexes of the entire watershed [31]. Equation (7) demonstrates that depth z i of the groundwater can be determined by factor f and topographic index (ln( a tanβ )).…”

Section: Topmodelmentioning

confidence: 99%

Evaluation of Reliable Digital Elevation Model Resolution for TOPMODEL in Two Mountainous Watersheds, South Korea

et al. 2019

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This study analyzed the result of parameter optimization using the digital elevation model (DEM) resolution in the TOPography-based hydrological MODEL (TOPMODEL). Also, this study investigated the sensitivity of the TOPMODEL efficiency by applying the varying resolution of the DEM grid cell size. This work applied TOPMODEL to two mountainous watersheds in South Korea: the Dongkok watershed in the Wicheon river basin and the Ieemokjung watershed in the Pyeongchang river basin. The DEM grid cell sizes were 5, 10, 20, 40, 80, 160, and 300 m. The effect of DEM grid cell size on the runoff was investigated by using the DEM grid cell size resolution to optimize the parameter sets. As the DEM grid cell size increased, the estimated peak discharge was found to increase based on different parameter sets. In addition, this study investigated the DEM grid cell size that was most reliable for use in runoff simulations with various parameter sets in the experimental watersheds. The results demonstrated that the TOPMODEL efficiencies in both the Dongkok and Ieemokjung watersheds rarely changed up to a DEM grid-size resolution of about 40 m, but the TOPMODEL efficiencies changed with the coarse resolution as the parameter sets were changed. This study is important for understanding and quantifying the modeling behaviors of TOPMODEL under the influence of DEM resolution based on different parameter sets.

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Section: Topmodelmentioning

confidence: 99%