• 산업공학
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• 제24권3호
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• pp.220-230
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• 2011

The multi-reservoir operation problem for efficient utilization of water resources involves conflicting objectives, and the problem can be solved by varying weight coefficient on objective functions. Accordingly, decision makers need to choose appropriate weight coefficients balancing the trade-offs among multiple objectives. Although the appropriateness of the weight coefficients may depend on the total amount of water inflow, reservoir operating policy may not be changed to a certain degree for different hydrological conditions on inflow. Therefore, we propose to use fuzzy Data Envelopment Analysis (DEA) to rank the weight coefficients in consideration of the inflow variation. In this approach, we generate a set of Paretooptimal solutions by applying different weight coefficients on Coordinated Multi-reservoir Operating Model. Then, we rank the Pareto-optimal solutions or the corresponding weight coefficients by using Fuzzy DEA model. With the proposed approach, we can suggest the best weight coefficients that can produce the appropriate Pareto-optimal solution considering the uncertainty of inflow, whereas the general DEA model cannot pinpoint the best weight coefficients.

• 태양에너지
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• 제8권2호
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• pp.46-56
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• 1988

This investigation concerns thermal stratification of the water due to the temperature difference (${\Delta}T=T_{\infty}-T_i$) between the mean temperature of the water in the test tank (1m wide, 1m high, 2.1m long) and the temperature of the inflow water into the tank; flow rate of circulating water and height of the sink diffuser in the test tank. The additional objectives was to observe a stratification phenomena near an interface by measuring the velosities and the temperature difference and investigate an availabilities of the better effective hot water through establishing thermocline near an interface around the bottom of the tank. Following results were obtained through the experiments. 1. When the flow rate was constant and the temperature difference (${\Delta}T=T_{\infty}-T_i$) between the mean temperature of the flow in the test tank and the temperature of the inflow water increased by 5.6, 9.5, 13.5($^{\circ}C$), obtained the better effective advantage of hot water and the stress near an interface increased gradually. 2. When the ${\Delta}T=T_{\infty}-T_i$ was constant and flow rate increased by 4.0, 4.8, 6.4, 8.0 (LPM), obtained the better effective advent age of hot water and the mean stress near an interface increased gradually. 3. When the height of the sink diffuser was 25cm from tank bottom in comparison with 50cm, obtained the better effective advantage of hot water and the mean stress near an interface increased.

• 한국수자원학회논문집
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• 제37권1호
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• pp.67-75
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• 2004

본 연구에서는 홍수시 다목적댐의 효율적 운영을 위하여 상류로부터 유입되는 홍수유입량을 실시간으로 예측하기 위해 역전파 신경망 모형을 사용하여 댐유입량 예측모형(Neural Dam Inflow Forecasting Model; NDIFM)을 개발하였다. NDIFM은 다목적댐에 의한 하류의 홍수조절 비중이 큰 낙동강의 남강댐 유역에 적용하였으며, 입력자료로는 댐유역 평균강우량, 실측 댐유입량, 예측 댐유입량 통을 사용하여 실시간 댐유입량 예측의 가능성을 검토하였다. 실측치와 예측치를 비교ㆍ검토한 결과 제시한 세 가지 모형 중 NDIFM-I이 가장 우수한 결과를 나타내었으며, NDIFM-II 및 NDIFM-III 또한 다양한 예측가능성을 보여주었다. 따라서, 강우-유출의 비선형시스템 모의를 위하여 물리적 매개변수가 복잡한 개념적 모형보다는 양질의 수문관측 자료만 축적된다면 블랙박스 모형인 신경망 모형이 실시간 홍수예측에 효율적으로 활용될 수 있을 것이다.

• 한국수자원학회논문집
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• 제43권4호
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• pp.393-398
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• 2010

하천의 유입량 변화와 이로 인한 소수력발전소의 수문학적 성능변화에 대한 연구가 수행되었다. 하천에서의 유입량변화를 분석하기 위하여 유량지속특성을 예측할 수 있는 모델이 개발되었고, 이를 기반으로 하여 소수력발전소의 수문학적 성능특성을 예측할 수 있는 모델이 개발되었다. 개발된 모델의 효용성을 확인하기 위하여 안동댐에서 32년간 측정된 월유입량자료를 분석하였으며, 안동댐 상류에 위치한 소수력발전소를 대상으로 하여 수문학적 성능특성을 분석하였다. 안동댐에서의 장기유입량과 기존의 소수력발전소를 대상으로 분석한 결과, 본 연구에서 개발된 예측모델로부터 획득한 결과가 실측자료와 잘 일치하였다. 최근 유입량증가로 인하여 소수력가용량을 증가하였으나 기존의 소수력발전소의 가동률을 증가시키지는 못한 것으로 나타났다. 본 연구에서 개발된 모델은 소수력발전소의 초기설계제원과 유입량을 예측하는데 유용하게 사용될 수 있다는 것이 밝혀졌다.

• 한국물환경학회지
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• 제28권2호
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• pp.238-246
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• 2012

Organic matters budget in Lake Hoengseong were monthly investigated from April 2009 to November 2009. The intense rainfall occurred at between July and August and the hydrological factors were highly varied during the rainfall season. By the concentrated rainfall, the elevation, influx and efflux were sharply increased and the turbid water was also flowed into the middle water column in Lake. The inflow of turbid water increased the nutrient concentrations in water body and this appears to stimulate of phytoplankton regard as the primary productivity of influx of organic matter. Monthly average concentration of dissolved organic carbon (DOC) was generally higher than the particulate organic carbon (POC) concentration in Lake, but Temporal and spatial variation of POC concentration was higher than DOC and the maximum POC concentration was recorded in surface water in August, had the highest phytoplankton biomass. Organic carbon concentration in inflow site was rarely changed during the dry season, but the concentration was rapidly increased by the initial intense rainfall. In organic matters budget, the most of the organic matters was inflowed from the inflow site at rainfall season. Especially, the influx of allochthonous organic matters during the intense rainfall was 72.4% in the total influx organic matters.

• 한국수자원학회논문집
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• 제50권7호
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• pp.489-502
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• 2017

본 연구에서는 충주댐 유역에 대해 다목적 댐 예측유입량 산정기법 BAYES-ESP를 개발하고 평가하였다. BAYES-ESP 기법은 기존 ESP (Ensemble Streamflow Prediction) 기법에 베이지안 이론을 적용하여 개발하였으며, 수문모델은 ABCD를 활용하였다. 입력자료는 기온, 강수량 자료와 댐 관측유입량 자료를 활용하였으며, 기온 및 강수량은 기상청, 국토교통부, 한국수자원공사의 지점관측자료, 댐 관측유입량은 한국수자원공사의 자료를 이용하였다. 적용성 평가방법은 시계열 분석과 Skill Score를 활용하였으며, 평가기간은 1986~2015년이다. 시계열 분석 결과 ESP 댐 예측유입량(ESP)는 매년 전망값의 큰 차이가 없었으며, 다우년 및 과우년의 예측성이 떨어지는 것으로 나타났다. BAYES-ESP 댐 예측유입량(BAYES-ESP)는 ESP가 관측유입량에 비해 과소모의하는 경향을 보정하였으며, 특히 다우년에 개선효과가 있는 것으로 나타났다. 월별 평균 댐 관측유입량과의 Skill Score 비교분석결과 ESP는 1~3월에 SS가 비교적 높은 값을 보였으며, 나머지 월에는 음의 값을 나타내었다. BAYES-ESP는 ESP와 관측 값 간의 선형적 관계를 갖는 1~3월에 ESP의 정확도를 향상시키는 것으로 나타났다. ESP 기법은 국내 강수특성상 우리나라에 적용하기에는 한계가 있었으며, 이를 개선한 BAYES-ESP 기법은 댐 유입량 예측연구에 가치가 있다고 판단된다.

• 한국농공학회논문집
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• 제53권1호
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• pp.17-28
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• 2011

This study was performed to ascertain the possibility of securing inflows to reservoir with low ratio of watershed to paddy field areas by outside diversion weir. The case of Maengdong reservoir and Samryong diversion weir was selected. Most of inflows to Maengdong reservoir with watershed area of $7.06\;km^2$ and total storage capacity of $1,269{\times}10^4\;m^3$ are filled with intake water from outside Samryong diversion weir. Only using water storage data in Maengdong reservoir from 1991 to 2009, the range of water intake in Samryong diversion weir to Maengdong reservoir was optimized to 0.135~30 mm/d, from which water intake to Maengdong reservoir was $1,672.9{\times}10^4\;m^3$ (70.1 %) and downstream outflow to Weonnam reservoir was $714.4{\times}10^4\;m^3$ (29.9 %). The parameters of DAWAST model for reservoir inflow were determined to UMAX of 313.8 mm, LMAX 20.3 mm, FC 136.8 mm, CP 0.018, and CE 0.007. Inflows to Maengdong reservoir were $427.1{\times}10^4\;m^3$ (20.3 %) from inside watershed, and $1,672.9{\times}10^4\;m^3$ (79.7 %) from outside. Paddy irrigation water requirements were estimated to $1,549{\times}10^4\;m^3$ on annual average. Operation rule curve was drawn by using daily inflow and irrigation requirement data. By securing the amount of inflow to Maengdong reservoir to about 80 % from outside Samryong diversion weir, water supply capacity for irrigation of $1,549{\times}10^4\;m^3/yr$ was analyzed to be enough. Additional water supplies for instream flow were analyzed to $1,412\;m^3/d$ in normal reservoir operation, $36,000\;m^3/d$ in withdrawal limit operation by operation rule curve from October to March of non irrigation period.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2003년도 학술발표논문집
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• pp.499-502
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• 2003

Using the daily water balance model of the Keum River Barrage Dam, water supply capacity was analyzed. The scenario of reservoir inflow was selected to case with Daechung dam, case with no dam, case with Yongdam dams. Runoffs in 12 sub watersheds were simulated by the DAWAST model considered return flows.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2003년도 추계학술발표회
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• pp.254-257
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• 2003

Statistical analysis is performed to estimate the correlations between geological or geographical factor and groundwater inflow rates in the Seoul subway system. Correlation analysis shows that among several geological and geographical factors fractures and streams have most strong effects on inflow rate into tunnels. In particular, subway line 5∼8 are affected more by these factors than subway line 1∼4. Time series analysis is carried out to forecast groundwater inflow rate. Time series analysis is a useful empirical method for simulation and forecasts in case that physical model can not be applied to. The time series of groundwater inflow rates is calculated using the observation data. Transfer function-noise model is applied with the precipitation data as input variables. For time series analysis, statistical methods are performed to identify proper model and autoregressive-moving average models are applied to evaluation of inflow rate. Each model is identified to satisfy the lowest value of information criteria. Results show that the values by result equations are well fitted with the actual inflow rate values. The selected models could give a good explanation of inflow rates variation into subway tunnels.

• 한국물환경학회지
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• 제23권5호
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• pp.748-755
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• 2007

To develop an efficient pump operating rule for a retard basin, it is necessary to estimate inflow to the retard basin accurately which is affected by the backwater effect at the outlet of the conduit. The magnitude of the backwater effect is dependent on the water depth of a retard basin; however, the depth is determined by the amount of inflow and outflow. Thus, a real time simulation system that is able to simulate urban runoff and the pump operation with the consideration of the backwater effect is required to estimate the actual inflow to a retard basin. With this system, the efficient pump operating rule can be developed to diminish the possible flood damage on urban areas. In this study, a realtime simulation system is developed using the SWMM 5.0 DLL and Visual Basic 6.0 equipped with EXCEL to estimate inflow considering the backwater effect. The realtime simulation can be done by updating realtime input data such as minutely observed rainfall and the depth of a retard basin. Using those updated input data, the model estimates actual inflow, the amount of outflow discharged by pumps and gates, the depth of each junction, and flow rate at a sewer pipe on realtime basis. The developed model was applied to the Joonggok retard basin and demonstrated that it can be used to design a sewer system and to estimate actual inflow through the inlet sewer to reduce the inundation risk. As results, we find that the model can contribute to establish better operating practices for the pumps and the flood drainage system.