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논문 기본 정보

자료유형
학술저널
저자정보
Giha Lee (Kyungpook National University) Sangkuk Youn (Kyungpook National University) Yeonsu Kim (Kyungpook National University)
저널정보
한국지반환경공학회 한국지반환경공학회 논문집 한국지반환경공학회 논문집 제16권 제5호
발행연도
2015.5
수록면
13 - 25 (13page)

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초록· 키워드

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

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ABSTRACT
1. Introduction
2. Concept of Extended Model Evaluation under Uncertainty
3. Rainfall-runoff Models used in this Study
4. Model Evaluation with Three Different Types of Criteria
5. Concluding Remarks
References

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UCI(KEPA) : I410-ECN-0101-2016-532-001353057