A Study to Suggest Monthly Baseflow Estimation Approach for the Long-Term Hydrologic Impact Analysis Models: A Case Study in South Korea

Changes in both land use and rainfall patterns can lead to changes the hydrologic behavior of watershed. The long-term impact analysis (L-THIA) model has been used predict such analyze mitigation scenarios. is simple as only a small amount input data are required, but it direct runoff cannot determine streamflow. This study, therefore, aimed propose method for predicting monthly baseflow while maintaining simplicity model. baseflows 20 watersheds South Korea were estimated under different conditions. Calibration prediction produced values R2 Nash–Sutcliffe efficiency (NSE) within ranges 0.600–0.817 0.504–0.677, respectively; during validation, these 0.618–0.786 0.567–0.727, respectively. indicates that proposed reliably L-THIA expected be applicable all various forms