• 한국수자원학회논문집
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• 제31권1호
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• pp.71-84
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• 1998

낙동강 유역의 저수유출 해석을 위해 IS(integrated snowband) 유역모형이 포함된 SSARR 모형을 적용하였다. IS유역모형은 증발산, 침투 및 장기회귀 지하수 추적기능이 추가된 최신 버전으로서 연물수지분석에 관한 정보가 출력되며 대화식 구동방식인 IA(interactive)방식도 내재되어 있다. 고수시와 저수시 민감한 매개변수를 민감도 분석결과 도출할 수 있었고, 이를 토대로 모형의 보정이 이루어졌다. 7개 제어지점에서 유량의 관측치와 계산치를 비교하여 고수시 상대오차와 저수시 절대오차를 통하여 모형의 검증을 수행하였다. IS 유역모형을 사용하여 월별 물수지 분석을 수행하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 1997년도 학술발표회 논문집
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• pp.262-267
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• 1997

• Korean Journal of Hydrosciences
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• 제10권
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• pp.17-34
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• 1999

The SSARR model adopting Is(integrated snowband) watershed model is applied to Nakdong River basin for lowflow 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 provieds annual water budget informations as an output file and can be operated by interactive mode. Sensitivity analysis for both cases of high and lowflows was carried out, which becomes the knowledge base for model calibration. Model verification was performed using the relative errors of highflows and absolute errors of lowflows at the control points. Monthly water budget analysis was done by IS watershed model, and is reveals that runoff coefficient is 52.6%.

• 한국환경과학회지
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• 제26권5호
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• pp.549-561
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• 2017

Recently IPCC (International Panel on Climate Change, 2007) pointed out that global warming is a certain ongoing process on the earth, due to which water resources management is becoming one of the most difficult tasks with the frequent occurrences of extreme floods and droughts. In this study we made runoff predictions for several control points in the Geum River by using the watershed runoff model, SSARR (Streamflow Synthesis and Reservoir Regulation Model), with daily RCP 4.5 and RCP 8.5 scenarios for 100 year from 1st Jan 2006 to 31st Dec 2100 at the resolution of 1 km given by Climate Change Information Center. As a result of, the Geum River Basin is predicted to be a constant flow increases, and it showed a variation in the water circulation system. Thus, it was found that the different seasonality occurred.

• 한국물환경학회지
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• 제27권3호
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• pp.264-272
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• 2011

The objective of this study was to develop a model for predicting long-term runoff in a basin using the ensemble streamflow prediction (ESP) technique and review its reliability. To achieve the objective, this study improved not only the ESP technique based on the ensemble scenario analysis of historical rainfall data but also conventional ESP techniques used in conjunction with qualitative climate forecasting information, and analyzed and assessed their improvement effects. The model was applied to the Geum River basin. To undertake runoff forecasting, this study tried three cases (case 1: Climate Outlook + ESP, case 2: ESP probability through monthly measured discharge, case 3: Season ESP probability of case 2) according to techniques used to calculate ESP probabilities. As a result, the mean absolute error of runoff forecasts for case 1 proposed by this study was calculated as 295.8 MCM. This suggests that case 1 showed higher reliability in runoff forecasting than case 2 (324 MCM) and case 3 (473.1 MCM). In a discrepancy-ratio accuracy analysis, the Climate Outlook + ESP technique displayed 50.0%. This suggests that runoff forecasting using the Climate Outlook +ESP technique with the lowest absolute error was more reliable than other two cases.