A Study to Suggest Monthly Baseflow Estimation Approach for the Long-Term Hydrologic Impact Analysis Models: A Case Study in South Korea
Autor: | Youn-Shik Park, Min-Suh Chae, Hyun-Seok Choi, Hanyong Lee |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Hydrology
Estimation Baseflow Watershed 010504 meteorology & atmospheric sciences Land use Water supply for domestic and industrial purposes Calibration (statistics) Geography Planning and Development L-THIA model Hydraulic engineering 010501 environmental sciences Aquatic Science monthly baseflow 01 natural sciences Biochemistry Term (time) hydrological watershed modeling Streamflow Environmental science Surface runoff TC1-978 TD201-500 0105 earth and related environmental sciences Water Science and Technology |
Zdroj: | Water, Vol 13, Iss 2043, p 2043 (2021) |
ISSN: | 2073-4441 |
Popis: | Changes in both land use and rainfall patterns can lead to changes in the hydrologic behavior of the watershed. The long-term hydrologic impact analysis (L-THIA) model has been used to predict such changes and analyze the changes in mitigation scenarios. The model is simple as only a small amount of input data are required, but it can predict only the direct runoff and cannot determine the streamflow. This study, therefore, aimed to propose a method for predicting the monthly baseflow while maintaining the simplicity of the model. The monthly baseflows for 20 watersheds in South Korea were estimated under different land use conditions. Calibration of the monthly baseflow prediction method produced values for R2 and the Nash–Sutcliffe efficiency (NSE) within the ranges of 0.600–0.817 and 0.504–0.677, respectively; during validation, these values were in the ranges of 0.618–0.786 and 0.567–0.727, respectively. This indicates that the proposed method can reliably predict the monthly baseflow while maintaining the simplicity of the L-THIA model. The proposed model is expected to be applicable to all the various forms of the model. |
Databáze: | OpenAIRE |
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