Development of Web-Based RECESS Model for Estimating Baseflow Using SWAT

Lee, Gwanjae; Shin, Youngsoo; Jung, Younghun

doi:10.3390/su6042357

Cited by 15 publications

(4 citation statements)

References 48 publications

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“…The calibrated parameters were used for estimating the inflow into the dams for the period from 2004 to 2012. In the calibration process, the model calibration was performed using the SUFI-2 algorithm verified by various researchers among the five algorithms provided by the SWAT-CUP model [27][28][29][30]. Table 2 presents the results of optimized parameters for each WSG.…”

Section: Swat Calibrationmentioning

confidence: 99%

The Effect of Reduced Flow on Downstream Water Systems Due to the Kumgangsan Dam under Dry Conditions

Lee

et al. 2019

Water

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Water resource disputes for Transboundary Rivers are frequent and critical issues among countries. The Kumgangsan Dam was constructed (in North Korea) in the Transboundary River (North Han river) that affects the water resources downstream (in South Korea) of the dam. The amount of water resource (e.g., streamflow, discharge) downstream of the Kumgangsan dam has decreased after the dam construction which might cause decreased hydroelectric power and water pollution in the downstream dams, especially during the dry season. Thus, this study analyzed the changes in the inflow into the Euiam Lake (North Han River) by the construction of the Kumgangsan Dam through hydrological modeling and examined the discharge of Chuncheon Dam (inflow into Euiam Lake) considering the flow control in the Kumgangsan Dam under the dry condition scenario. In addition, the changes of base flow during different seasons were analyzed because the majority of streamflow is contributed by the base flow during dry and drought seasons. As shown in the results, it was found that the discharge from the Kumgangsan Dam has a wide effect on the downstream dams located in South Korea. The inflow of downstream dams was significantly influenced by the discharge of the upstream dam, and the base flow was also affected by the decreased discharge of dams. Based on these findings, upstream dam managements should be carefully considered to maintain the water resource and aquatic ecosystem for the downstream dam watershed. Furthermore, the results of this study can be used as the preliminary information when discussing the problems of water allocation and flood prevention with North Korea.

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Section: Swat Calibrationmentioning

confidence: 99%

The Effect of Reduced Flow on Downstream Water Systems Due to the Kumgangsan Dam under Dry Conditions

Lee

et al. 2019

Water

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“…It is believed that considering the two effective stream drying factors and defining their relative contributions to watershed hydrology will improve previous studies that did not consider them together. The study was performed using the Soil and Water Assessment Tool (SWAT), and the applicability of SWAT in simulating watershed scale hydrology and water quality has been proven around the world (Shi et al, 2011;Zhang, Srinivasan, Arnold, Izaurralde & Bosch, 2011;Luo, Arnold, Allen & Chen, 2012;Lee, Shin & Jung, 2014;Woo, Jung, Lee & Kim, 2019). SWAT was calibrated to verify its applicability in simulating the watershed hydrology of the Geum River basin.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Long-term Groundwater Use Increase and Forest Growth Impact on Watershed Hydrology

Kim

et al. 2022

Water Resour Manage

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This study used Soil and Water Assessment Tool (SWAT) to investigate the impacts of groundwater use increase and forest growth on the watershed hydrology of Geum River basin (9,645.5 km 2 ), South Korea. Groundwater use increase and forest growth data from 1976 to 2015 were prepared in 10-year interval and were reflected to SWAT corresponding to each decade. SWAT was calibrated in the aspect of evapotranspiration, soil moisture, and streamflow using the observation data. The model performance for streamflow was evaluated by coefficient of determination (R 2 ), Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE), and percent bias (PBIAS). The calibration achieved the average R 2 value of 0.73 ~ 0.82, NSE value of 0.75 ~ 0.81, RMSE value of 0.53 ~ 2.35 mm/day, and PBIAS value of -2.51 ~ +11.74%, respectively. The model performance for evapotranspiration and soil moisture was evaluated by R 2 . The calibration result of evapotranspiration and soil moisture achieved average R 2 value of 0.45 and 0.44, respectively. The calibrated model evaluated the impact of two factors on watershed hydrology. Decadal increase of groundwater use has decreased groundwater flow and increased groundwater recharge while decadal forest growth has mainly increased evapotranspiration that led to the decrease of other hydrological components. Resultingly, the change of two factors have imposed temporal decrease of total runoff on the watershed while the influence of two factors on annual streamflow loss was bigger in lower flow rate.

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“…The SWAT model contains many parameters related to rainfall runoff, and parameters that need to be calibrated to improve the accuracy of the prediction. Among the many parameters that are involved in the SWAT model, the alpha factor is the one of the most important parameters regarding the baseflow recession coefficient [35]. Recently, in order to incorporate various calibration modules into SWAT for automating calibration processes or uncertainty analysis, SWAT-calibration and uncertainty programs (SWAT-CUP) were developed ( Figure 3).…”

Section: Description Of Swat and Swat-cupmentioning

confidence: 99%

Assessment of Baseflow Estimates Considering Recession Characteristics in SWAT

Lee

Kim

Jang

et al. 2018

Water

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Abstract:Baseflow is influenced by incoming groundwater to aquifers and is closely related to watershed characteristics. Understanding baseflow characteristics is of great importance to river ecosystems and water management. Baseflow estimation typically depends on the observed streamflow in gauged watersheds, but accurate predictions of streamflow through modeling can also be useful in estimating baseflow. However, uncertainty occurs in the baseflow estimation process when modeling streamflow. Therefore, the purpose of this study is to compare the method that is proposed by Arnold and Allen (Scenario I) to an improved recession prediction method where the alpha factor (baseflow recession coefficient) is recalibrated and is applied to SWAT (Scenario II). Although the differences between the results (NSE, R 2 , RMSE, MAE, d) of Scenarios I and II were small regarding streamflow and recession, the Scenario II method more accurately reflected the recession characteristics than the Scenario I method. Furthermore, the Scenario II method was better in baseflow prediction than for the Scenario I method proposed by Arnold and Allen. Therefore, these outputs pave the way and contribute to an efficient method for water management in watersheds.

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Development of Web-Based RECESS Model for Estimating Baseflow Using SWAT

Cited by 15 publications

References 48 publications

The Effect of Reduced Flow on Downstream Water Systems Due to the Kumgangsan Dam under Dry Conditions

The Effect of Reduced Flow on Downstream Water Systems Due to the Kumgangsan Dam under Dry Conditions

Assessment of Long-term Groundwater Use Increase and Forest Growth Impact on Watershed Hydrology

Assessment of Baseflow Estimates Considering Recession Characteristics in SWAT

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