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NTIS 바로가기Journal of Korea Water Resources Association = 한국수자원학회논문집, v.53 no.1, 2020년, pp.45 - 56
유지수 (K-water연구원 물순환연구소) , 노준우 (K-water연구원 물순환연구소) , 조영현 (K-water연구원 물순환연구소)
This study aims to quantify the uncertainty that can be induced by the objective function when calibrating SWAT parameters using SWAT-CUP. SWAT model was constructed to estimate runoff in Naesenong-cheon, which is the one of mid-watershed in Nakdong River basin, and then automatic calibration was pe...
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핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
MNS와 SSQR의 장단점은 무엇인가? | 이와 같은 관점에서 최적의 목적함수는 MNS와 SSQR로 후보를 좁힐 수 있다. MNS는 평균유량에 대하여 우수한 매개변수 보정 성능을 나타내지만, 다소 과소 산정되는 경향이 있다. 이와 반대로 SSQR은 첨 두유량에 대해 우수한 모의 성능을 나타내지만, 평균유량에 대한 모의 성능이 떨어진다. 따라서 SWAT-CUP을 이용한 매개변수 보정 시, 연구 목적에 따라 MNS 또는 SSQR을 목적함수로 적용하는 것이 적합하다. | |
SWAT-CUP을 이용하여 어떤 점을 보완하는가? | 본 연구는 SWAT-CUP을 이용한 SWAT 모형 매개변수 검·보정을 수행할 때 발생할 수 있는 다양한 쟁점 중, 목적함수로 인해 발생할 수 있는 불확실성을 정량화하는 것을 목표로 수행되었다. 목적함수에 따라 모의 결과가 달라지는 것은 매개변수 보정 결과가 서로 상이하게 나타나기 때문이다. | |
SWAT의 특징은 무엇인가? | SWAT (Soil and Water Assessment Tool) (Arnold et al., 1993)은 준분포형(semi-distributed) 수문 모형으로 기존의 집중형(lumped) 모형보다 수문과정의 모의, 수자원의 계획/관리, 기후및 토지이용의 변화에 따른 수문·수질 변화에 대한 예측에 있어 더 효율적이라는 점에서 널리 적용되고 있다. 하지만 SWAT처럼 다양한 입력 자료와 매개변수가 필요한 모형은 모의 결과에 대한 불확실성이 필연적으로 발생한다 (Yang et al. |
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