• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1383-1386
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• 2007

하절기 고탁수로 문제가 되고 있는 임하호에 원활한 탁수배제를 위하여 선택취수시설이 설치되어 2006년 운영되었다. 본 연구는 이러한 선택취수시설에 대한 효과를 분석하기 위하여 CE-QUAL-W2 모형을 이용하여 호내의 탁수 분포를 분석하고 보정된 모형을 이용하여 선택취수와 표면취수(표층${\sim}7\;m$)에 따른 탁수의 저감효과에 대한 분석을 수행하였다. 임하댐 유입부의 탁도 자동 측정 시스템에서 측정된 수온 및 탁도자료를 입력자료로 사용하였고, 모형의 호내의 4개지점의 수심별 자료에 대하여 보정을 실시하였다. 보정결과 관측값과 비교에서 절대 평균 오차(RMSE)는 5.2로 산정되었으며 수심별 수온 및 탁도 분포와 최고 탁도층이 발생하는 수심을 적절히 모의하였다. 선택취수시설을 적용한 경우 표면취수의 경우와 비교해서 100 NTU 이상의 고탁수층에 대해서는 (1) 호내의 탁수량이 $35\;Mm^3$이상이 저감되는 것으로 나타났고, (2) 고탁수의 방류량이 3배이상 증대되는 것으로 나타났다. 선택취수는 표면취수에 비해 고탁수층의 배제에 효과적이며 취수구의 위치 변경등 지속적인 관리를 통하여 효율적인 운영이 가능할 것으로 판단된다. 또한, 효과분석 결과를 바탕으로 시설에 대한 운영방안을 수립할 수 있을 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.378-378
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• 2018

우리나라의 다목적댐 저수지 운영기준은 홍수기에 발생한 유입량에 의존하고 있으며 최근들어 빈번하게 발생하고 있는 가뭄으로 현재 기준으로는 안정적 용수공급을 하기 힘든 상황이다. 이러한 가뭄에 의한 용수부족을 사전에 대비하기 위해 국토교통부에서는 댐 용수부족 대비 용수공급 조정기준을 제시하였다. 기준에 의해 가뭄시 다목적댐에서는 4단계의 가뭄단계(관심, 주의, 경계, 심각)로 관리되며 용수제한공급이 시행된다. 하지만 가뭄단계 해제시 다소 보수적인 기준으로 인해 용수제한공급으로 인한 피해를 최소화하기 위해 가뭄단계별 해제기준을 개발하였다. 본 연구에서는 AR5 RCP 4.5/8.5 26개 시나리오를 분석하여 기간신뢰도와 공급신뢰도를 산출하고 하위 시나리오와 median 값을 가지는 시나리오를 선정하여 해제기준을 적용하였다. 기간 공급신뢰도, 회복도 및 취약도와 추가공급가능량 및 용수 추가공급가능일수를 통해 용수공급능력을 평가하였다. 시나리오별로 용수공급 실패기간 유지일수에 따라 기간 공급신뢰도와 회복도 및 취약도가 상이하게 분석되어 향후 미래 기후변화시나리오 적용 분석시 적절한 기후변화 시나리오의 선정이 필요할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.344-344
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• 2021

세계적으로 기후변화 현상으로 인해 극심한 이상 가뭄이 빈번하게 발생하고 있다. 물 공급 소외지역의 경우 가뭄으로 인해 주민들이 불편을 겪고 있으며, 특히 마을상수도 및 소규모수도시설에 의존하는 최상류부 유역의 취수원은 상대적으로 가뭄에 취약하다. 본 연구의 대상 지역은 강원도 춘천시 물로천의 제1지류 유역으로 주민들이 하천 계곡수를 생활용수의 주 공급원으로 사용하고 있다. 해당지역은 갈수기에 생활용수 부족 문제를 겪고 있는 지역으로 가뭄 대응을 위한 구조적 대책으로 다단식 Sand댐을 설치할 예정이다. 현장조사 결과 물로천의 물은 취수조로 일부 유입되며, 자갈 등을 이용하여 부유물 등이 필터링되어 물탱크로 흘러내리며 중력에 의해 각 가정으로 자연 유하하는 것으로 나타났다. 본 연구에서는 대상지역의 하천, 취수조, 물탱크 3개 지점에 압력식 자동 수위 관측기를 설치하였으며, 2시간 간격의 수위를 측정할 수 있도록 설정하여 매달 유속 측정을 통해 수위-유량 관계 곡선식을 바탕으로 유량을 산정하였다. 도출된 일별 유량 자료와 SWAT 모형의 매개변수 검·보정한 후 이를 장기간으로 확장 적용하여 약 10년간의 장기 유출량을 산정하였다. 일별 장기 유출량 자료를 통해 평균 유량 감수곡선과 감수곡선식을 도출하였고, 무강우에 따른 최대 공급가능일수를 산정하였다. 본 연구에서는 하천-취수원 연계 모니터링 및 하천 유량에 따른 공급가능일수 등을 제시하여 가뭄 취약지역의 주민 불편을 최소화하고 가뭄에 대응할 수 있을 것으로 판단된다. 최종적으로 추후 Sand댐 건설 전후 비교 자료로 사용될 수 있으며, 소규모수도시설의 가뭄 관리를 위한 모니터링 체계 및 대응 방안을 구축하였다.

• Journal of Korea Water Resources Association
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• v.46 no.4
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• pp.413-424
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• 2013

The TMDL, the watershed-oriented water quality management policy, was introduced to inhibit the total amount of pollutant loading generation, and to develop the region environmentally friendly. However, despite the implementation of TMDL, the water quality of Nam river downstream has worsened continuously since 2005. Diverse pollution sources such as cities and industrial zone are scattered around the Nam river. Eutrophication are caused due to deterioration of water quality by low velocity. BOD concentrations in the eutrophic waters affected by the incoming BOD and the autochthonous BOD by the production of phytoplankton. In this study, the quantitative relation of incoming BOD and autochthonous BOD was analyzed for water quality management. The influence of autochthonous BOD was analyzed using QUALKO2 and QUAL2E. Considering the effects of Chl.a, BOD concentration from QUALKO2 model simulations is higher than BOD concentration from QUAL2E model. The results of QUALKO2 showed higher correlation with the measured data. Autochthonous BOD needs to be managed to solve the water pollution problem of Nam river downstream, which is looking for ways to reduce Chl.a by using the increase of the dam outflow and the improvement of the water quality from WWTP.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3469-3476
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• 2015

The Korea Academia-Industrial cooperation Society. The Korea Academia-Industrial cooperation Society. In Korea, the territory has east high west low type and the rainfall is concentrated in the summer season. A nation having these topography and precipitation condition like Korea has to basically needs support of hardware alternatives. However, the right places decrease gradually and the resistance of the public opinion for national water resources policy stiffens gradually. The climate change has an effect in water resources fields and has a close relation. In the present study, therefore, future inflow of Miryang multipurpose dam basin is estimated by using SWAT model applied RCP 4.5 and 8.5 scenarios of "Korea Meteorological Administration" and considering the results, the future direction is purposed to operate the dam. As a result, the rainfall pattern is changed from traditional peak form to flat form. The dam operation rule in accordance with changing precipitation pattern has to be modified from the conventional operation rule and a new plan has to be established to meet a situation.

• Journal of Korea Water Resources Association
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• v.45 no.12
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• pp.1321-1330
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• 2012

In this study, the daily inflow at the basin of Chungju dam is predicted using wavelet-artificial neural network for nonlinear model. Time series generally consists of a linear combination of trend, periodicity and stochastic component. However, when framing time series model through these data, trend and periodicity component have to be removed. Wavelet transform which is denoising technique is applied to remove nonlinear dynamic noise such as trend and periodicity included in hydrometeorological data and simple noise that arises in the measurement process. The wavelet-artificial neural network (WANN) using data applied wavelet transform as input variable and the artificial neural network (ANN) using only raw data are compared. As a results, coefficient of determination and the slope through linear regression show that WANN is higher than ANN by 0.031 and 0.0115 respectively. And RMSE and RRMSE of WANN are smaller than those of ANN by 37.388 and 0.099 respectively. Therefore, WANN model applied in this study shows more accurate results than ANN and application of denoising technique through wavelet transforms is expected that more accurate predictions than the use of raw data with noise.

• Journal of Korea Water Resources Association
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• v.51 no.spc
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• pp.1135-1148
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• 2018

Previous studies on reservoir operation have been assumed that the climate in the future would be similar to that in the past. However, in the presence of climate non-stationarity, Robust Optimization (RO) which finds the feasible solutions under broader uncertainty is necessary. RO improves the existing optimization method by adding a robust term to the objective function that controls the uncertainty inherent due to input data instability. This study proposed Robust-SDP that combines Stochastic Dynamic Programming (SDP) and RO to estimate dam operation rules while coping with climate non-stationarity. The future inflow series that reflect climate non-stationarity were synthetically generated. We then evaluated the capacity of the dam operation rules obtained from the past inflow series based on six evaluation indicators and two decision support schemes. Although Robust-SDP was successful in reducing the incidence of extreme water scarcity events under climate non-stationarity, there was a trade-off between the number of extreme water scarcity events and the water scarcity ratio. Thus, it is proposed that decision-makers choose their optimal rules in reference to the evaluation results and decision support illustrations.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4B
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• pp.383-392
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• 2008

It is not always easy to estimate the parameters in hydrologic models due to insufficient hydrologic data when hydraulic structures are designed or water resources plan are established. Therefore, uncertainty analysis are inevitably needed to examine reliability for the estimated results. With regard to this point, this study applies a Bayesian Markov Chain Monte Carlo scheme to the NWS-PC rainfall-runoff model that has been widely used, and a case study is performed in Soyang Dam watershed in Korea. The NWS-PC model is calibrated against observed daily runoff, and thirteen parameters in the model are optimized as well as posterior distributions associated with each parameter are derived. The Bayesian Markov Chain Monte Carlo shows a improved result in terms of statistical performance measures and graphical examination. The patterns of runoff can be influenced by various factors and the Bayesian approaches are capable of translating the uncertainties into parameter uncertainties. One could provide against an unexpected runoff event by utilizing information driven by Bayesian methods. Therefore, the rainfall-runoff analysis coupled with the uncertainty analysis can give us an insight in evaluating flood risk and dam size in a reasonable way.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.3
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• pp.407-416
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• 2016

The purpose of this study is to develop regional regression models to estimate mean low flow for ungauged basins. The unregulated streamflow data observed at 12 multipurpose dams and 4 irrigation dams were analyzed for determining mean low flows. Various types of regression models were developed using the relationship between mean low flows and various sets of watershed characteristics such as drainage area, average slope, drainage density, mean annual precipitation, runoff curve number. The performance of each regression model for estimating mean low flows was assessed by comparison with the results obtained from the observed data. It was found that a regional regression model explained by drainage area, the mean annual precipitation, and runoff curve number showed the best performance. The regression model presented in this study also gives better estimates of mean low flow than the estimates by the drainage-area ratio method and the previous regression model.

• Journal of Life Science
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• v.18 no.12
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• pp.1671-1678
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• 2008

We investigated the effect of the turbid water on the phytoplankton community in the 4 sites of Imha reservoir. The turbidity of water was proportional to the concentrations of $SiO_2$-Si. Therefore, as the turbidity of water grow, the concentration of $SiO_2$-Si increased. And the both the turbidity of water and the concentrations of $SiO_2$-Si were increased as the water run deep. The concentration of chlorophyll-a decreased as the depth of water increased. Seventy phytoplankton taxa were identified and the most abundant group was Chlorophyceae consisting of 32 taxa (46%), and Cyanophyceae and Bacillariophyceae consisted of 12 taxa (17%). And Euglenophyceae, Synulophyceae, Cryptophyceae and Dinophyceae consisted of 6 taxa (9%), 4 taxa (6%), 3 taxa (4%) and 1 taxon (1%), respectively in Imha reservoir. The concentrations of phytoplankton were increased according to the turbidity of water because of the high amount of organic nutrition which is presented with turbid water. And especially, the concentrations of nitrogen increased easily because of the weak binding to the soil particle. In conclusion, total nitrogen and $SiO_2$-Si flowed into the Imha reservoir with soil particle, and these inorganic nutritions affect the growth of algae.