• 한국농공학회지
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• 제35권4호
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• pp.106-118
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• 1993

The purpose of this study is to develop a multireservoir water balance model which may be used to evaluate rural water demands such as agricultural water, domestic water, industrial water and livestock water and to determine effective storage of reservoir. The model was verified to compare the observed reservoir release data with the simulated reservoir release data of the existing Munsan and Dongbu reservoirs located in the Gisan rural district for 3 years('87~'89). For model application, the effective storages of existing reservoirs(Munsan & Dongbu) were evaluated for 10-year frequency drought and that of newly planned reservoirs(Kumbok & Kudong) were determined for 10-year frequency drought. In addition, the behavior of effective storages for existing reservoirs were analyzed in the case of introducing new reservoirs in the existing system.

• 대한토목학회논문집
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• 제1권1호
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• pp.69-76
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• 1981

현재(現在) 실무(實務)에 사용(使用)되고 있는 저수지내(貯水池內)에 퇴사량(堆砂量)의 추정방법(推定方法)에 대하여 광범위하게 조사(調査) 비교(比較)하였으며 국내(國內) 113개(個) 관개용(灌漑用) 저수지(貯水池)의 퇴사실측자료(堆砂實測資料)를 사용하여 저수지(貯水池) 퇴사량(堆砂量)과 유역면적(流域面積) 및 저수지(貯水池)의 토사포착효율간(土砂捕捉效率間)의 상관관계(相關關係)를 맺는 다회귀모형(多回歸模型)을 제안(提案)하였다. 제안(提案)된 모형(模型)의 적합성(適合性)을 실측자료(實測資料)로부터 증명하였으며 저수지내(貯水池內)로의 연비유사량(年比流砂量)을 유역면적(流域面積) 및 저수지(貯水池)의 토사포착효율(土砂捕捉效率)과 상관(相關)시켰다. 저수지내(貯水池內)로의 연평균퇴사율(年平均堆砂率)과 연평균저수지내용적(年平均貯水池內容積)의 변동(變動)은 저수지(貯水池)의 토사포착효율(土砂捕捉效率)에 의해 크게 좌우(左右)됨이 증명되었으며 저수지상류(貯水池上流)의 하천유로(河川流路)에 미치는 토사유출(土砂流出)의 영향을 양적(量的)으로 평가(評價)하기 위해서도 본(本) 연구(硏究)에서 제안(提案)된 퇴사량(堆砂量) 추정모형(推定模型)을 적용(適用)할 수 있음을 벽곡저수지(貯水池) 유역(流域)에 대하여 증명(證明)하였다.

• 한국농공학회논문집
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• 제60권1호
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• pp.1-10
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• 2018

This study analyzed pore water pressure, seepage and leakage quantity, height of seepage and critical hydraulic gradient in order to suggest the seepage characteristics of agricultural reservoir embankment considering filter interval. The seepage characteristics of a deteriorated reservoir embankments were conducted according to the horizontal filter intervals range using three- dimensional finite element analysis. The wider the horizontal filter interval, the higher the pore water pressure increased, and the pore water pressure ratio in the center of the core has a greater effect than the base part. The seepage and leakage quantity appeared largely in the two-dimensional analysis conditions (case 1), where the filter was constructed totally in the longitudinal direction of the embankment, the wider the horizontal filter interval was gradually reduced. The reasonable filter intervals to yield efficient seepage characteristics were within 30 m for the pore water pressure of the core and the height of the seepage line. The stability of the filter installation was able to evaluate the stability of the piping by the critical hydraulic gradient method. The deteriorated reservoir with no filters or decreased functionality can significantly reduce the possibility of piping by simply installing a filter on the downstream slope. In the future, the deteriorated reservoir embankment should be checked for the reservoir remodeling because the core and filter functions have been lost or decreased significantly. In the case of a new installation, the seepage characteristic behavior due to the core and filter changes should be applied to the field after obtaining a reasonable horizontal filter interval that satisfies the safety factor by a three-dimensional analysis.

• 한국농공학회지
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• 제38권2호
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• pp.97-107
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• 1996

This study was performed to derive the formula of sediment yield and predict the sediment elevation for fresh desalted reservoirs. Data analyzed was from 3 fresh desalted reservoirs of Sapkyo, Asan, and Namyang. Average sediment yield calculated from the sediment survey data was $279m^3/km^2/$ year for Sapkyo lake, $523m^3/km^2/$ year for Namyang lake, and $190m^3/km^2/$ year for Asan lake. The trap efficiency for Sapkyo lake was 63%. The formula of sediment yield was derived as $Q_s=6,461{\times}A{^-0.44}$ for fresh desalted reservoir. Sediment yield in fresh desalted reservoirs was much higher than that in inland reservoirs located in the same watershed, because of long trap time in fresh desalted reservoirs.

• 한국농공학회논문집
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• 제59권3호
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• pp.97-110
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• 2017

This study investigates the efficiencies of machine learning models, including artificial neural network (ANN), generalized regression neural network (GRNN), adaptive neuro-fuzzy inference system (ANFIS) and random forest (RF), for reservoir water level forecasting in the Chungju Dam, South Korea. The models' efficiencies are assessed based on model efficiency indices and graphical comparison. The forecasting results of the models are dependent on lead times and the combination of input variables. For lead time t = 1 day, ANFIS1 and ANN6 models yield superior forecasting results to RF6 and GRNN6 models. For lead time t = 5 days, ANN1 and RF6 models produce better forecasting results than ANFIS1 and GRNN3 models. For lead time t = 10 days, ANN3 and RF1 models perform better than ANFIS3 and GRNN3 models. It is found that ANN model yields the best performance for all lead times, in terms of model efficiency and graphical comparison. These results indicate that the optimal combination of input variables and forecasting models depending on lead times should be applied in reservoir water level forecasting, instead of the single combination of input variables and forecasting models for all lead times.

• 한국물환경학회지
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• 제25권1호
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• pp.7-17
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• 2009

Soil and Water Assessment Tool (SWAT) was used to assess the impact of potential future climate change on the water cycle and soil loss of the Daecheong reservoir watershed. A sensitivity analysis using influence coefficient method was conducted for two selected hydrological input parameters and three selected sediment input parameters to identify the most to the least sensitive parameters. A further detailed sensitivity analysis was performed for the parameters: Manning coefficient for channel (Cn), evaporation (ESCO), and sediment concentration in lateral (LAT_SED), support practice factor (USLA_P). Calibration and verification of SWAT were performed on monthly basis for 1993~2006 and 1977~1991, respectively. The model efficiency index (EI) and coefficient of determination ($R^2$) computed for the monthly comparisons of runoffs were 0.78 and 0.76 for the calibration period, and 0.58 and 0.65 for the verification period. The results showed that the hydrological cycle in the watershed is very sensitive to climate factors. A doubling of atmospheric $CO_2$ concentrations was predicted to result in an average annual flow increase of 27.9% and annual sediment yield increase of 23.3%. Essentially linear impacts were predicted between two precipitation change scenarios of -20, and 20%, which resulted in average annual flow and sediment yield changes at Okcheon of -53.8%, 63.0% and -55.3%, 65.8%, respectively. An average annual flow increase of 46.3% and annual sediment yield increase of 36.4% was estimated for a constant humidity increase 5%. An average annual flow decrease of 9.6% and annual sediment yield increase of 216.4% was estimated for a constant temperature increase $4^{\circ}C$.

• 한국수자원학회논문집
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• 제55권7호
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• pp.515-529
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• 2022

이용 가능한 수자원의 규모를 파악하는 것은 지속가능한 이수계획 수립에 필수적인 과정이다. 특히 댐 시설은 용수를 저류하여 갈수기에 공급하기 위한 주요 수공 시설물로써 댐 유입량 및 댐 운영 방안에 따라 댐의 용수공급능력은 크게 달라질 수 있다. 국내에서는 과거 유입량 관측자료를 바탕으로 저수지 운영모의 방법을 통해 댐 용수공급능력을 산정하고 있으며, 이때 관측기간 내 가뭄발생 여부에 따라 용수공급능력이 과소 혹은 과다 추정되는 불확실성을 내포하며, 이는 수자원 계획 수립의 신뢰도를 저해하는 요인이 될 수 있다. 본 연구에서는 발전용댐의 용수공급능력 적정 범위를 산정하기 위해 확률론적 유입량 자료를 활용하였다. 즉, 다양한 기후 및 사회경제 변화를 반영한 확률론적 댐 유입량 및 이를 활용한 발전용댐 용수공급능력의 범위를 산정하는 방법을 제시하였으며, 국내 한강수계에 위치한 발전용댐을 대상으로 분석을 수행하였다. 향후 기후변화에 대응하기 위한 발전용댐의 용수공급능력 파악은 더욱 중요해질 것으로 예상되며, 본 연구 결과는 다양한 기후 시나리오에서의 댐 용수공급능력 범위를 정량적으로 파악함으로써 국내 수자원 계획 수립에 기여할 것으로 기대된다.

• 한국컴퓨터정보학회논문지
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• 제29권3호
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• pp.67-74
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• 2024

본 논문에서는 기후 변화와 지속 가능한 수자원 관리의 중요성이 증가하는 가운데, 다양한 강우 측정 방법이 저수지 수위 예측 성능에 미치는 영향을 분석하기 위한 연구를 제시한다. 이를 위해 우리는 기상정보개방포털에서 제공하는 종관기상관측장비인 ASOS의 관측 강우, 자동기상관측장비인 AWS의 관측 강우, 그리고 면적강우비에 따라 재산정된 티센망 기반의 강우 데이터를 활용하여 신경망 기반 저수율 예측 모델에 대한 학습을 각각 수행하고, 학습된 모델의 예측 성능을 비교 및 분석하였다. 전라북도 소재 34개의 저수지에 대한 실험을 통해 각 강우량 측정방식이 저수율 예측 정확도 향상에 얼마나 기여하는지 조사하였다. 연구 결과, 티센망 기반의 강우 면적비를 활용한 저수지 강우 데이터가 가장 높은 예측 정확도를 제공한다는 것을 밝혀냈다. 이는 티센망이 주변 관측소들 사이의 정확한 거리를 고려함으로써 각 관측소가 대표하는 지역의 경계를 정의함으로써 각 지역의 실제 강우 상황을 더 정확하게 반영하기 때문이다. 이러한 발견은 정확한 지역 강우 데이터 학습이 저수율 예측에 있어 결정적인 요인 중 하나임을 시사한다. 더불어, 이 연구는 정밀한 강우 측정 및 데이터 분석의 중요성을 강조하며, 농업, 도시 계획, 홍수 관리와 같은 다양한 분야에서 예측 모델의 잠재적 응용 가능성을 제시한다.

• 지질공학
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• 제29권4호
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• pp.367-381
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• 2019

We investigate pore pressure conditions and reservoir compaction associated with oil and gas production using 3 different permeability models, which are all based on one-dimensional radial flow diffusion model, but differ in considering permeability evolution during production. Model 1 assumes the most simplistic constant and invariable permeability regardless of production; Model 2 considers permeability reduction associated with reservoir compaction only due to pore pressure drawdown during production; Model 3 also considers permeability reduction but due to the effects of both pore pressure drawdown and coupled pore pressure-stress process. We first derive a unified stress-permeability relation that can be used for various sandstones. We then apply this equation to calculate pore pressure and permeability changes in the reservoir due to fluid extraction using the three permeability models. All the three models yield pore pressure profiles in the form of pressure funnel with different amounts of drawdown. Model 1, assuming constant permeability, obviously predicts the least amount of drawdown with pore pressure condition highest among the three models investigated. Model 2 estimates the largest amount of drawdown and lowest pore pressure condition. Model 3 shows slightly higher pore pressure condition than Model 2 because stress-pore pressure coupling process reduces the effective stress increase due to pore pressure depletion. We compare field data of production rate with the results of the three models. While models 1 and 2 respectively overestimates and underestimates the production rate, Model 3 estimates the field data fairly well. Our result affirms that coupling process between stress and pore pressure occurs during production, and that it is important to incorporate the coupling process in the permeability modeling, especially for tight reservoir having low permeability.

• Water Engineering Research
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• 제3권1호
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• pp.57-62
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• 2002

This research is intended to integrate long-term operation rules and real time operation policy for conservation & flood control in a reservoir. The familiar Yield model has been modified and used to provide long-term rule curves. The model employs linear programming technique under given physical conditions, i.e., total capacity, dead storage, spillways, outlet capacity and their respective elevations to find required and desired minimum storage fur different demands. To investigate the system behavior resulting from the above-mentioned operating policy, i.e., the rule curves, the simulation model was used. Results of the simulation model show that the results of the optimization model are indeed valid. After confirmation of the above mentioned rule curves by the simulation models, gate operation procedure was merged with the long term operation rules to determine the optimum reservoir operating policy. In the gate operation procedure, operating policy in downstream flood plain, i.e., determination of damaging and non-damaging discharges in flood plain, peak floods, which could be routed by reservoir, are determined. Also outflow hydrograph and variations of water surface levels for two known hydrographs are determined. To examine efficiency of the above-mentioned models and their ability in determining the optimum operation policy, Esteghlal reservoir in Iran was analyzed as a case study. A numerical model fur the solution of two-dimensional dam break problems using fractional step method is developed on unstructured grid. The model is based on second-order Weighted Averaged Flux(WAF) scheme with HLLC approximate Riemann solver. To control the nonphysical oscillations associated with second-order accuracy, TVD scheme with SUPERBEE limiter is used. The developed model is verified by comparing the computational solutions with analytic solutions in idealized test cases. Very good agreements have been achieved in the verifications.