Method of Estimating Groundwater Recharge with Spatial-Temporal Variability

Kim, Nam-Won; Chung, Il-Moon; Won, Yoo-Seung

doi:10.3741/jkwra.2005.38.7.517

Cited by 7 publications

(1 citation statement)

References 10 publications

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“…Furthermore, the Hydrograph Separation Program (HYSEP) [20], PART [10], RORA [10], BFLOW [11], the Web-GIS-based Hydrograph Analysis Tool [21,22] (WHAT) systems and tracer-based hydrograph separation methods [23,24] have been employed to separate baseflow from streamflow. For example, Kim [25] estimated groundwater recharge using the baseflow-recession curve and a rainfall-runoff model and made a comparison of the results from these two methods. Kim et al [26] and Bae and Kim [27] estimated baseflow quantity and the groundwater recharge rate using the Natural Resources Conservation Service (NRCS)-Curve Number (CN) method and baseflow separation, respectively.…”

Section: Introductionmentioning

confidence: 99%

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

2014

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Abstract:Groundwater has received increasing attention as an important strategic water resource for adaptation to climate change. In this regard, the separation of baseflow from streamflow and the analysis of recession curves make a significant contribution to integrated river basin management. The United States Geological Survey (USGS) RECESS model adopting the master-recession curve (MRC) method can enhance the accuracy with which baseflow may be separated from streamflow, compared to other baseflow-separation schemes that are more limited in their ability to reflect various watershed/aquifer characteristics. The RECESS model has been widely used for the analysis of hydrographs, but the applications using RECESS were only available through Microsoft-Disk Operating System (MS-DOS). Thus, this study aims to develop a web-based RECESS model for easy separation of baseflow from streamflow, with easy applications for ungauged regions. RECESS on the web derived the alpha factor, which is a baseflow recession constant in the Soil Water Assessment Tool (SWAT), and this variable was provided to SWAT as the input. The results showed that the alpha factor estimated from the web-based RECESS model improved the predictions of streamflow and recession. Furthermore, these findings showed that the baseflow characteristics of the ungauged watersheds were influenced by the land use and slope angle of watersheds, as well as by precipitation and streamflow. OPEN ACCESSSustainability 2014, 6 2358

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Section: Introductionmentioning

confidence: 99%

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

2014

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Analysis of Spatiotemporal Changes in Groundwater Recharge and Baseflow using SWAT and BFlow Models

Lee¹,

Park²,

Jung³

et al. 2014

Journal of Korean Society on Water Environment

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Occurrence frequency of flood and drought tends to increase in last a few decades, leading to social and economic damage since the abnormality of climate changes is one of the causes for hydrologic facilities by exceedance its designed tolerance. Soil and Water Assessment Tool (SWAT) model was used in the study to estimate temporal variance of groundwater recharge and baseflow. It was limited to consider recession curve coefficients in SWAT model calibration process, thus the recession curve coefficient was estimated by the Baseflow Filter Program (BFLOW) before SWAT model calibration. Precipitation data were estimated for 2014 to 2100 using three models which are GFDL-ESM2G, IPSL-CM5A-LR, and MIROC-ESM with Representative Concentration Pathways (RCP) scenario. SWAT model was calibrated for the Soyang watershed with NSE of 0.83, and R 2 of 0.89. The percentage to precipitation of groundwater recharge and baseflow were 27.6% and 17.1% respectively in 2009. Streamflow, groundwater recharge, and baseflow were estimated to be increased with the estimated precipitation data. GFDL-ESM2g model provided the most large precipitation data in the 2025s, and IPSL-CM5A-LR provided the most large precipitation data in the 2055s and 2085s. Overall, groundwater recharge and baseflow displayed similar trend to the estimated precipitation data.

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