An Extended Model Evaluation Method under Uncertainty in Hydrologic Modeling

• DOI: 10.14481/jkges.2015.16.5.13
• Publication Date: 2015-05-14T01:15:28Z
• Authors: Giha Lee; Sangkuk Youn; Yeonsu Kim
• Keywords: Identifiability; Hydrological modelling

This paper proposes an extended model evaluation method that considers not only the performance but also structure and parameter uncertainties in hydrologic modeling. A simple reservoir (SFM) distributed kinematic wave models (KWMSS1 KWMSS2 using topography from 250-m, 500-m, 1-km digital elevation models) were developed assessed by three evaluative criteria for performance, structural stability, identifiability. All provided acceptable terms of a global response, simpler SFM KWMSS1 could accurately represent local behaviors hydrographs. Moreover, structurally unstable; their was sensitive to applied objective functions. On other hand, most sophisticated model, KWMSS2, performed well, satisfying both behaviors. KMSS2 showed good reproducing hydrographs regardless functions; however, superior identifiability guaranteed. number sets result indistinguishable indicates while making complex increases its accuracy reduces uncertainty, is likely suffer uncertainty.