[논문]토양수분 저류 기반의 간결한 준분포형 수문분할모형 개발

최정현; 김령은; 김상단

doi:10.15681/kswe.2020.36.3.229

토양수분 저류 기반의 간결한 준분포형 수문분할모형 개발
Development of Parsimonious Semi-Distributed Hydrologic Partitioning Model Based on Soil Moisture Storages 원문보기

한국물환경학회지 = Journal of Korean Society on Water Environment, v.36 no.3, 2020년, pp.229 - 244

최정현 (부경대학교 지구환경시스템과학부 (환경공학전공)) , 김령은 (부경대학교 지구환경시스템과학부 (환경공학전공)) , 김상단 (부경대학교 환경공학과)

Abstract ▼ AI-Helper

Hydrologic models, as a useful tool for understanding the hydrologic phenomena in the watershed, have become more complex with the increase of computer performance. The hydrologic model, with complex configurations and powerful performance, facilitates a broader understanding of the effects of climate and soil in hydrologic partitioning. However, the more complex the model is, the more effort and time is required to drive the model, and the more parameters it uses, the less accessible to the user and less applicable to the ungauged watershed. Rather, a parsimonious hydrologic model may be effective in hydrologic modeling of the ungauged watershed. Thus, a semi-distributed hydrologic partitioning model was developed with minimal composition and number of parameters to improve applicability. In this study, the validity and performance of the proposed model were confirmed by applying it to the Namgang Dam, Andong Dam, Hapcheon Dam, and Milyang Dam watersheds among the Nakdong River watersheds. From the results of the application, it was confirmed that despite the simple model structure, the hydrologic partitioning process of the watershed can be modeled relatively well through three vertical layers comprising the surface layer, the soil layer, and the aquifer. Additionally, discussions were conducted on antecedent soil moisture conditions widely applied to stormwater estimation using the soil moisture data simulated by the proposed model.

주제어

표/그림 (21)

그림 Fig. 1. Flow chart of components in proposed model.
그림 Fig. 2. Schematic diagram of proposed model.
그림 Fig. 3. Evapotranspiration and percolation in soil layer.
표 Table 1. Information of selected study areas
표 Table 2. Percent of impervious area for land use
표 Table 3. Hydraulic conductivity(K_S) for hydrologic soil group by NRCS
그림 Fig. 4. Gridded input data from GIS data at Andong Dam watershed.
표 Table 4. Optimal parameters
그림 Fig. 5. Monthly simulation results using optimal parameters for each watershed.
그림 Fig. 6. Monthly simulation results using default parameters for each watershed.
그림 Fig. 7. Comparison between observed and simulated daily total flow in Namgang Dam watershed in 2016.
그림 Fig. 8. Comparison between observed and simulated daily total outflow.
그림 Fig. 9. Simulated direct runoff and baseflow for range of Curve Number (CN) in Hapcheon Dam watershed.
그림 Fig. 10. Comparison of direct runoff between present model and L-THIA in Namgang Dam watershed.
그림 Fig. 11. Comparison of Q and S between present model and L-THIA in Namgang Dam watershed from 2012.6.26. to 2012.7.25.
그림 Fig. 12. Relation of direct runoff ratio with soil moisture.
그림 Fig. 13. Relation of direct runoff rate with 5-day antecedent rainfall.
그림 Fig. 14. Relation of soil moisture with 5-day antecedent rainfall in Milyang Dam watershed.
표 Table 5. Total 5-day antecedent rainfall for antecedent soil moisture condition (AMC) adjustment
그림 Fig. 15. Spatial distribution of yearly average Hydrologic cycle index and Horton index in Andong Dam watershed.
표 Table 6. Simulated yearly average hydrologic components for each watershed

질의응답

핵심어	질문	논문에서 추출한 답변
	모델링을 통한 유역의 수문모의는 어떤 의의를 가지고 있는가?	모델링을 통한 유역의 수문모의는 수량 및 수질 관리에 대한 합리적이고 경제적이며 유용한 접근법 중 하나이며, 유역 관리를 위한 계획 수립 및 설계에 널리 사용되어왔다(Jeon et al., 2014; Sivapalan, 2003; Zhang et al.
	모형 구동에 필요한 매개변수는 어떻게 획득하는가?	모형 구동에 필요한 매개변수는 관측을 통해 직접적으로 획득 가능한 경우도 있지만, 일반적으로 유역의 물리적인 특성을 직접 관측할 수 없을 경우 보정 과정을 통해 추정해야 한다(Beven, 2006a; Zhang et al., 2008).
	매개변수 최적화 방법을 적용하였을때 한계점은?	단, 매개변수 최적화 방법을 적용하면 실제 지형특성과 다른 과도한 매개변수가 추정되는 경우가 있으므로 토양수분 실측값이 있는 유역에 대해 모형의 정확도를 분석할 필요가 있다. 그러나 현재 토양수분 자료를 직접적으로 이용하여 모형을 보정하거나 검증할 수 있는 시공간적인 관측 자료를 확보하는데 한계가 있다. 이러한 이유로 비교적 자료가 충분한 유역의 유량정보를 사용하여 모형 보정 및 성능 평가가 수행 되었다.

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