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Baseflow Recession and Groundwater Recharge Estimation in Pyungchang River Basin

원문정보

초록

영어

It is not easy to represent the characteristics of the groundwater recession curve in streamflow, but a linear recession model has generally been used. However, some studies have shown that a nonlinear model is more appropriate, and nonlinear analyses have been conducted to describe the relationship between groundwater discharge and storage. The objective of this study is to identify and quantify the main components of the groundwater water balance—namely, discharge, evapotranspiration, storage, and recharge—by applying a nonlinear model to streamflow data from the Pyungchang River basin. In particular, this study proposes a method for separating baseflow using the streamflow hydrograph and peak groundwater stage, and groundwater recharge was also estimated based on unit effective rainfall. The analysis of baseflow revealed that the recession curve shows seasonal variation. Groundwater storage was estimated using a nonlinear model, and groundwater recharge was analyzed in relation to effective rainfall. We found that groundwater recharge continued for up to two days after effective rainfall in the Pyungchang River basin. Using the methodology developed in this study, it is possible to estimate groundwater recharge solely based on effective rainfall.

목차

Abstract
1. Introduction
2. Methodology
2.1 Storage-discharge relationship and baseflow recession
2.2 Parameters of a and b in recession curve
2.3 Derivation of evapotranspiration equation
2.4 Baseflow separation
2.5 Groundwater recharge response function to rainfall
3. Applications and Results
3.1 Study area
3.2 Estimation of parameter a for recession curve
3.3 Estimation of evapotranspiration
3.4 Baseflow separation by streamflow and groundwater stage
3.5 Estimation of effective rainfall and groundwater recharge hydrograph
4. Conclusion
References

저자정보

  • Duke Yu-Min Kim Department of Civil Engineering, Purdue University, USA
  • Kyunghun Kim Institute of Water Resources System, Inha University, Korea
  • Junhyeong Lee Department of Smart City Engineering, Inha University, Korea
  • Yujin Kang Department of Smart City Engineering, Inha University, Korea
  • Seonuk Baek Department of Smart City Engineering, Inha University, Korea
  • Won-joon Wang Institute of Water Resources System, Inha University, Korea

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