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http://dx.doi.org/10.15681/KSWE.2014.30.5.549

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

Lee, Ji Min (Department of Regional Infrastructures Engineering, Kangwon National University)
Park, Youn Shik (Department of Regional Infrastructures Engineering, Kangwon National University)
Jung, Younghun (Environmental Research Center, Kangwon National University)
Cho, Jaepil (APEC climate center)
Yang, Jae Eui (Department of Biological Environment, Kangwon National University)
Lee, Gwanjae (Department of Regional Infrastructures Engineering, Kangwon National University)
Kim, Ki-Sung (Department of Regional Infrastructures Engineering, Kangwon National University)
Lim, Kyoung Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
Publication Information
Journal of Korean Society on Water Environment / v.30, no.5, 2014 , pp. 549-558 More about this Journal
Abstract
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.
Keywords
Baseflow; Climate change; Groundwater; RCP Scenario; SWAT;
Citations & Related Records
Times Cited By KSCI : 13  (Citation Analysis)
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