DOI QR코드

DOI QR Code

SWAT 모형과 BFlow를 이용한 지하수 함양, 기저유출의 시공간적 변화 분석

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

  • 이지민 (국립강원대학교 지역건설공학과) ;
  • 박윤식 (국립강원대학교 지역건설공학과) ;
  • 정영훈 (국립강원대학교 환경연구소) ;
  • 조재필 (APEC 기후센터) ;
  • 양재의 (국립강원대학교 바이오자원환경학과) ;
  • 이관재 (국립강원대학교 지역건설공학과) ;
  • 김기성 (국립강원대학교 지역건설공학과) ;
  • 임경재 (국립강원대학교 지역건설공학과)
  • 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)
  • 투고 : 2014.08.19
  • 심사 : 2014.09.25
  • 발행 : 2014.09.30

초록

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.

키워드

참고문헌

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피인용 문헌

  1. Assessment of Baseflow Estimates Considering Recession Characteristics in SWAT vol.10, pp.4, 2018, https://doi.org/10.3390/w10040371