• Journal of Korea Water Resources Association
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• v.38 no.6 s.155
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• pp.471-483
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• 2005

A monthly Ensemble Streamflow Prediction (ESP) system was developed by applying a daily rainfall-runoff model known as the Streamflow Synthesis and Reservoir Regulation (SSARR) model to the Han, Nakdong, and Seomjin River basins in Korea. This study first assesses the accuracy of the averaged monthly runoffs simulated by SSARR for the 3 basins and proposes some improvements. The study found that the SSARR modeling of the Han and Nakdong River basins tended to significantly underestimate the actual runoff levels and the modeling of the Seomjin River basinshowed a large error variance. However, by implementing optimal linear correction (OLC), the accuracy of the SSARR model was considerably improved in predicting averaged monthly runoffs of the Han and Nakdong River basins. This improvement was not seen in the modeling of the Seomjin River basin. In addition, the ESP system was applied to forecast probabilistic runoff forecasts one month in advance for the 3 river basins from 1998 to 2003. Considerably improvement was also achieved with OLC in probabilistic forecasting accuracy for the Han and Nakdong River basins, but not in that of the Seomjin River basin.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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• pp.419-422
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• 2003

The Sumjin Reservoir watershed was simulated by the SSARR model. In order to calibrate the parameters of SSARR model, watershed was divided into three sub-basins with the basin characteristics and the observed runoff datum at estuary of dam were used. As the Results of study, there was not much of difference between the observed runoff and the simulated runoff.

• Journal of Wetlands Research
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• v.19 no.4
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• pp.423-432
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• 2017

This study used SSARR model to predict the flood hydrograph for the Miho stream in the Geum river basin. First, we performed the sensitivity analysis on the parameters of SSARR model to know the characteristics of the parameters and set the range. For the parameter calibration, optimization methods such as genetic algorithm, pattern search and SCE-UA were used. WSSR and SSR were applied as objective functions, and the results of optimization method and objective function were compared and analyzed. As a result of this study, flood prediction was most accurate when using pattern search as an optimization method and WSSR as an objective function. If the parameters are optimized based on the results of this study, it can be helpful for decision making such as flood prediction and flood warning.

• Journal of Korea Water Resources Association
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• v.31 no.1
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• pp.71-84
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• 1998

The SSARR model adopting IS(integrated snowband) watershed model is applied to the Nakdong River basin for low flow analysis. The IS watershed model is added to new version of the SSARR which has functions of simulating evapotranspiration. infiltration and lower zone routing. It provides annual water budget information as an output file and can be operated by interactive mode. Sensitivity analysis for both cases of high and low flows was carried out, which becomes the knowledge base for model calibration. Model verification was performed using the relative errors of high flows and absolute errors of low flows at the control points. Monthly water budget analysis was done by IS watershed model. and it reveals that runoff coefficient is 52.6%

• Proceedings of the Korea Water Resources Association Conference
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• 1997.05a
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• pp.262-267
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• 1997

• Water for future
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• v.22 no.1
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• pp.109-116
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• 1989

An attempt is made to describe the theory an computer algorithm of the SSARR model, and to try it's application to the small satershed, by using the estimation of the model parameters with the data of Bochong stream basin. The selected period of the hydrological data is from 1982 to 1988 for the modeling. The selected basin is the Bochong stream basin which is one of the tributaries of Geum river. The estimation of model parameters and sensitivity test are carried out for the analysis of the characteristics of model parameters.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2004.11a
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• pp.68-68
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• 2004

• Journal of Korea Water Resources Association
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• v.41 no.7
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• pp.737-746
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• 2008

The purpose of developing a rainfall-runoff and reservoir model is to provide an analysis tool for hydrological engineers in order to forecast discharge of rivers and to accomplish reservoir operations easily and accurately. In this study, based on the short-term rainfall-runoff storage function model which has gained popularity for real time flood forecast in practical water management affairs, a long-term runoff model was developed for the improvement of the calculation method of effective rainfall and percolation at the infiltration area. Annual discharge was simulated for three dam watersheds(Andong, Hapcheon, Milyang) in Nakdong River basin to analyze the accuracy of the developed model and compare it to SSARR model, which is used as the long-term runoff model in current practical water management affairs. As the result of the comparison of hydrographs, SSARR model showed relatively better results. However, it is possible for the developed model to simulate reliable long-term runoff using relatively little available data and is useful for hydrological engineers in practical affairs.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.797-800
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• 2005

RRFS를 개발하기 위해 NWSRFS 모형, SSARR 모형 및 TANK 모형 등에 대한 유출모형 현황 조사 및 특성 분석을 실시하여 실용성, 합리성, 적절성 중심의 기반모형으로 "수문학적 수문유출성분과 저수지 운영기법이 결합된" SSARR 모형을 선정하였다. 수계내 기상청, 건설교통부, 수자원공사에서 관할하는 강우관측소를 대상으로 관측시점부터 현재까지의 일강우자료 수집하였다. 12개 소유역에 대한 주요지점별 수위자료와 수위-유량 곡선식을 수집, 검토하여 수계 상하류에 위치한 수위관측소의 유출량 비교를 통해 적정 수위-유량곡선식을 선정하였다. 수계내 양수장, 보, 댐, 저수지 등 주요 수리시설물 현황조사를 실시 하였으며, 유역유출분석을 위한 유출모식도는 수자원공사내 DB 구조 및 유역유출 모의 시스템의 입출력 관계 등을 분석하여 구성하였다. 유출모형의 실시간 유역관리의 적용성을 파악하기 위해 과거 생공용수 및 농업용수의 수요량을 조사하였으며, 이들을 고려한 농업용수 수요 예측 시스템을 구축하였다. 유역유출 모의를 위해 SSARR모형의 매개변수 초기치 설정과 모형 보정을 위한 GUI를 개발하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.154-158
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• 2008

현재 홍수예경보에서는 강우-유출 모형, 통계학적 모형 등 다양한 모형을 사용하고 있으며, 우리나라에서는 특히 저류함수모형을 사용하여 홍수예보를 수행하고 있다. 이에 본 연구에서는 저류 함수모형과 Tank 모형, SSARR 모형을 이용해 금강유역의 미호천 유역, 일본의 Kusaki 댐 유역, 베트남의 Ta Trach 유역에 대하여 홍수모의예측을 수행하였다. 강우-유출 모형인 저류함수모형과 Tank 모형, SSARR 모형의 경우 매개변수 보정에 대한 연구를 추가하여 홍수예측 모형의 효율성의 증대를 도모 하였다. 매개변수 보정을 위하여 유전자 알고리즘, Pattern Search multi-start, SCE-UA등의 최적화 기법들을 이용하였고, 목적함수로는 WSSR과 SSR를 적용하여 그 결과를 비교, 분석하였다.