Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation

作者: Jichul Ryu , Won Jang , Jonggun Kim , Joong Choi , Bernard Engel

DOI: 10.3390/W8040153

关键词:

摘要: In this study, 52 asymptotic Curve Number (CN) regression equations were developed for combinations of representative land covers and hydrologic soil groups. addition, to overcome the limitations original Long-term Hydrologic Impact Assessment (L-THIA) model when it is applied larger watersheds, a watershed-scale L-THIA Asymptotic CN (ACN) equation (watershed-scale ACN model) was by integrating regressions various modules direct runoff/baseflow/channel routing. The four watersheds in South Korea evaluate accuracy its streamflow prediction. coefficient determination (R2) Nash–Sutcliffe Efficiency (NSE) values observed versus simulated streamflows over intervals eight days greater than 0.6 all watersheds. model, including method, can simulate long-term sufficiently well with ten parameters that have been added characterization streamflow.

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