The Applicability Study of SYMHYD and TANK Model Using Different Type of Objective Functions and Optimization Methods

성윤경,; 김상현,; 김현준,; 김남원,

doi:10.3741/jkwra.2004.37.2.121

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Sugawara [82] discussed the rainfall-runoff and calibration process in detail. The model has been widely applied in many Asian countries and other basins for various applications [83][84][85][86]. The twelve feasible parameter ranges used to calibrate the TANK model were adopted from earlier works [82,87].…”

Section: Tankmentioning

confidence: 99%

Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness?

et al. 2018

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Abstract:In this study, five hydrological models of increasing complexity and 12 Potential Evapotranspiration (PET) estimation methods of different data requirements were applied in order to assess their effect on model performance, optimized parameters, and robustness. The models were applied over a set of 10 catchments that are located in South Korea. The Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm was implemented to calibrate the hydrological models for each PET input while considering similar objective functions. The hydrological models' performance was satisfactory for each PET input in the calibration and validation periods for all of the tested catchments. The five hydrological models' performance were found to be insensitive to the 12 PET inputs because of the SCE-UA algorithm's efficiency in optimizing model parameters. However, the five hydrological models' parameters in charge of transforming the PET to actual evapotranspiration were sensitive and significantly affected by the PET complexity. The values of the three statistical indicators also agreed with the computed model evaluation index values. Similarly, identical behavioral similarities and Dimensionless Bias were observed in all of the tested catchments. For the five hydrological models, lack of robustness and higher Dimensionless Bias were seen for high and low flow as well as for the Hamon PET input. The results indicated that the complexity of the hydrological models' structure and the PET estimation methods did not necessarily enhance model performance and robustness. The model performance and robustness were found to be mainly dependent on extreme hydrological conditions, including high and low flow, rather than complexity; the simplest hydrological model and PET estimation method could perform better if reliable hydro-meteorological datasets are applied.

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Section: Tankmentioning

confidence: 99%

Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness?

et al. 2018

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Automatic Calibration of SWAT Model Using LH-OAT Sensitivity Analysis and SCE-UA Optimization Method

Do-Hun¹

2006

Journal of Korea Water Resources Association

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Comparison of Natural Flow Estimates for the Han River Basin Using TANK and SWAT Models

김철겸¹,

김남원²

2012

Journal of Korea Water Resources Association

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Two models, TANK and SWAT (Soil and Water Assessment Tool) were compared for simulating natural flows in the Paldang Dam upstream areas of the Han River basin in order to understand the limitations of TANK and to review the applicability and capability of SWAT. For comparison, simulation results from the previous research work were used. In the results for the calibrated watersheds (Chungju Dam and Soyanggang Dam), two models provided promising results for forecasting of daily flows with the Nash-Sutcliffe model efficiency of around 0.8. TANK simulated observations during some peak flood seasons better than SWAT, while it showed poor results during dry seasons, especially its simulations did not fall down under a certain value. It can be explained that TANK was calibrated for relatively larger flows than smaller ones. SWAT results showed a relatively good agreement with observed flows except some flood flows, and simulated inflows at the Paldang Dam considering discharges from upper dams coincided with observations with the model efficiency of around 0.9. This accounts for SWAT applicability with higher accuracy in predicting natural flows without dam operation or artificial water uses, and in assessing flow variations before and after dam development. Also, two model results were compared for other watersheds such as Pyeongchang-A, Dalcheon-B, Seomgang-B, Inbuk-A, Hangang-D, and Hongcheon-A to which calibrated TANK parameters were applied. The results were similar to the case of calibrated watersheds, that TANK simulated poor smaller flows except some flood flows and had same problem of keeping on over a certain value in dry seasons. This indicates that TANK application may have fatal uncertainties in estimating low flows used as an important index in water resources planning and management. Therefore, in order to reflect actually complex and complicated physical characteristics of Korean watersheds, and to manage efficiently water resources according to the land use and water use changes with urbanization or climate change in the future, it is necessary to utilize a physically based watershed model like SWAT rather than an existing conceptual lumped model like TANK.

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The Applicability Study of SYMHYD and TANK Model Using Different Type of Objective Functions and Optimization Methods

Cited by 3 publications

References 8 publications

Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness?

Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness?

Automatic Calibration of SWAT Model Using LH-OAT Sensitivity Analysis and SCE-UA Optimization Method

Comparison of Natural Flow Estimates for the Han River Basin Using TANK and SWAT Models

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