• Journal of Korea Water Resources Association
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• v.39 no.3 s.164
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• pp.187-198
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• 2006

Korea Water Resources Corporation(KOWACO) has developed the Integrated Real-time Water Management System(IRWMS) that calculates monthly optimal ending target storages by using Sampling Stochastic Dynamic Programming(SSDP) with Ensemble Streamflow Prediction(ESP) running on the $1^{st}$ day of each month. This system, however, has a shortcoming: it cannot reflect the hydrolmeteorologic variations in the middle of the month. To overcome this drawback, in this study updated ESP forecasts three times each month by using the observed precipitation series from the $1^{st}$ day of the month to the forecast day and the historical precipitation ensemble for the remaining days. The improved accuracy and its effect on the reservoir operations were quantified as a result. SSDP/ESP21 that reflects within-a-month hydrolmeteorologic states saves $1\;X\;10^6\;m^3$ in water shortage on average than SSDP/ESP01. In addition, the simulation result demonstrated that the effect of ESP accuracy on the reduction of water shortage became more important when the total runoff was low during the drawdown period.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.600-600
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• 2015

최근 정부에서는 농업용 저수지의 노쇠화를 해결하기 위해, 이수공간 및 홍수조절공간 추가 확보를 목표로 농업용 저수지 둑 높이기 사업을 실시하였다. 둑 높이기 사업을 통해 추가로 확보된 저수 공간을 효과적으로 활용하여 홍수에 대비하기 위해서는 저수지의 홍수 취약성에 대한 정량적인 평가가 선행되어야 한다. 또한 기후변화로 인한 강우강도 증가에 대비하기 위해서는 미래 예측 강우량에 대한 농업용 저수지의 홍수 취약성 평가가 필요한 실정이다. 따라서 본 연구에서는 기후변화를 고려하여 둑 높이기 사업에 따른 농업용저수지의 홍수 취약성 변화를 분석하고자 한다. 기초자료 구축을 위해 기상청에서 제공하는 RCP 4.5 기반의 미래강수자료를 편의보정 하였으며, 둑 높이기 사업 보고서를 통해 농업용 저수지의 제원들을 수집하였다. 이를 바탕으로 농업용 저수지 유역의 설계홍수량을 산정하였고, 저수지 모의 운영을 통해 홍수조절효과를 분석하였다. 홍수 취약성은 IPCC (2007)에서 제안한 방법에 따라 평가하였다. 문헌조사를 통해 기존에 사용되어 왔던 지표들을 선정하였고, 본 연구에서 수행한 저수지 모의 운영 결과를 바탕으로 홍수조절율 등 둑 높이기 사업의 효과를 반영할 수 있는 지표들을 추가로 선정하여 홍수 취약성 평가에 적용하였다. 본 연구의 결과는 둑 높이기 사업에 의한 홍수조절효과를 정량화 하고, 둑 높이기 저수지의 최적 운영을 위한 기초자료로 활용될 수 있을 것으로 사료된다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.3
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• pp.163-171
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• 2024

Structural health monitoring for ships and offshore structures is important in various aspects. Ships and offshore structures are continuously exposed to various environmental conditions, such as waves, wind, and currents. In the event of an accident, immense economic losses, environmental pollution, and safety problems can occur, so it is necessary to detect structural damage or defects early. In this study, structural response data of multi-linked floating offshore structures under various wave load conditions was calculated by performing fluid-structure coupled analysis. Furthermore, the order reduction method with distortion base mode was applied to the structures for predicting the structural response by using the results of numerical analysis. The distortion base mode order reduction method can predict the structural response of a desired area with high accuracy, but prediction performance is affected by sensor arrangement. Optimization based on a genetic algorithm was performed to search for optimal sensor arrangement and improve the prediction performance of the distortion base mode-based reduced-order model. Consequently, a sensor arrangement that predicted the structural response with an error of about 84.0% less than the initial sensor arrangement was derived based on the root mean squared error, which is a prediction performance evaluation index. The computational cost was reduced by about 8 times compared to evaluating the prediction performance of reduced-order models for a total of 43,758 sensor arrangement combinations. and the expected performance was overturned to approximately 84.0% based on sensor placement, including the largest square root error.

• Korean Journal of Food Science and Technology
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• v.27 no.3
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• pp.387-393
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• 1995

Diffusion coefficients of moisture and solid, reaction rate constants of carotene destruction, and the fitness of drying models for moisture transfer were determined to study the characteristics of mass transfer during osmotic dehydration. Moisture loss and solid gain were increased with increase of temperature and concentration; temperature had higher osmotic effect than concentration. Diffusion coefficient showed similar trend with osmotic effect. Diffusion coefficients of solids were larger than those of moisture because the movement of solid was faster than that of moisture at the high temperature. Reaction rate constants were affected to the greater extent by concentration changes than by temperature changes. Arrhenius equation was applied to determine the effect of temperature on diffusion coefficients and reaction rate constants. Moisture diffusion required high activation energy in $20^{\circ}Brix$, while relatively low in $60^{\circ}Brix$. To predict the diffusion coefficients and reaction rate constants, a model was established by using the optimum functions of temperature and concentration. The model had high $R^2$ value when applied to diffusion coefficients, but low when applied to reaction rate constants. Quadratic drying model was most fittable to express moisture transfer during drying. In conclusion, moisture content of carrots could be predictable during the osmotic dehydration process, and thereby mass transfer characteristics could be determined by predicted moisture content and diffusion coefficient.

• Proceedings of the KAIS Fall Conference
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• 2007.05a
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• pp.91-94
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• 2007

본 연구는 소유역의 강수계측망별 빈도해석에 의한 확률강우량 예측으로 최적 설계홍수량을 추적하고자 한다 빈도해석은 대전유역내 지방기상청의 낮은 계측망 멸도와 13개 소구역으로 분할된 지자체의 높은 계측망 멸도에서 측정된 강우량 자료를 대상으로 하였다 해석에는 낮은 밀도의 한 지점에서 $1969{\sim}2005$년까지 36년간 자료와 높은 밀도의 13 개 지점에서 $2002{\sim}2006$년까지 6년간 자료를 연초과치 계열로 확장하여 각각 2개군으로 구성하였다 강우자료 분석결과 낮은 밀도의 지속기간 1시간에서 79.1mm, 장시간에서 327.0mm, 높은 밀도의 지속기간 1시간에서 85.0mm, 24시간에서 245.0mm로 나타났다. 본 연구에서는 Gumbel 분포와 2변수 Gamma 분포 및 일반극치분포, $2{\cdot}3$ 변수 대수정규분포, 2변수 Weibull 분포에 ${\chi}^2$검정, K-S 검정으로 적합도를 검정하여 Gumbel 분포가 가장 적합한 것으로 나타났다 유도된 강우강도-지속기간-재현기간 관계식은 소유역내 확률강우강도 예측과 설계홍수량 산정에 유용하게 사용될 수 있을 것이다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.56 no.3
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• pp.233-243
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• 2011

This experiment was conducted to investigate the effect of future climate change on growing period and temperature in different rice maturity types as global warming progressed, where Odaebyeo, Hwaseongbyeo, Ilpumbyeo were used as a representative cultivar of early, medium, and medium-late rice maturity type, respectively, and A1B scenario was applied to weather data for future climate change at 57 sites in Korea. When cropping season was not adjusted to climate change, entire growing period and growing temperature were shorten and risen, respectively, as global warming progressed. On the other side, when cropping season was adjusted to climate change, growing period and temperature after heading date were not changed in contrast to growing period and growing temperature before heading which were more seriously shortened and risen as global warming progressed than in not adjusted cropping season. It is supposed that adjusting cropping season to climate change can alleviate rice yield reduction and quality deterioration to some degree by improving growing temperature condition during grain-filling period, but also still have a limit such as seriously shortened growing period indicating that there need to develope actively new rice cultivation methods and varieties for future climate change.

• Journal of the Korea Concrete Institute
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• v.23 no.4
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• pp.487-494
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• 2011

In this research, the possibility of using bottom ash as a binder for the alkali-activated cement mortar is studied. Several experiments were performed to investigate the variation of the material properties according to the mix proportion. In the experimental program, the flowability and compressive strength were evaluated for various values of water/ash ratio, activator/ash ratio, sodium silicate to sodium hydroxide ratio, curing temperature, and the fineness of bottom ash as the main variables. The experimental results showed that high strength of 40 MPa or greater could be achieved in $60^{\circ}C$ high temperature curing condition with proper flowability. For $20^{\circ}C$ ambient temperature curing, the 28 days compressive strength of approximately 30MPa could be obtained although the early-age strength development was very slow. Based on the results, the range of optimized mix design of bottom-ash based alkali-activated cement mortar was suggested. In addition, using the artificial neural network analysis, the flowability and compressive strength were predicted with the difference in the mix proportion of the bottom-ash based alkali-activated cement mortar.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.761-774
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• 2022

Accurate hydrologic prediction is essential to analyze the effects of drought, flood, and climate change on flow rates, water quality, and ecosystems. Disentangling the uncertainty of the hydrological model is one of the important issues in hydrology and water resources research. Hydrologic data assimilation (DA), a technique that updates the status or parameters of a hydrological model to produce the most likely estimates of the initial conditions of the model, is one of the ways to minimize uncertainty in hydrological simulations and improve predictive accuracy. In this study, the two ensemble-based sequential DA techniques, ensemble Kalman filter, and particle filter are comparatively analyzed for the daily discharge simulation at the Yongdam catchment using airGRdatassim. The results showed that the values of Kling-Gupta efficiency (KGE) were improved from 0.799 in the open loop simulation to 0.826 in the ensemble Kalman filter and to 0.933 in the particle filter. In addition, we analyzed the effects of hyper-parameters related to the data assimilation methods such as precipitation and potential evaporation forcing error parameters and selection of perturbed and updated states. For the case of forcing error conditions, the particle filter was superior to the ensemble in terms of the KGE index. The size of the optimal forcing noise was relatively smaller in the particle filter compared to the ensemble Kalman filter. In addition, with more state variables included in the updating step, performance of data assimilation improved, implicating that adequate selection of updating states can be considered as a hyper-parameter. The simulation experiments in this study implied that DA hyper-parameters needed to be carefully optimized to exploit the potential of DA methods.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.320-320
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• 2012

수문학적 의미의 일반적인 물순환은 증발, 응결, 강수 등 태양에너지와 중력에 의해 전지구적으로 반복되는 물의 재생산과정을 의미한다. 최근 들어 토목분야에서 언급되기 시작한 물순환시스템은 수문학적인 물수지(water balance)에 저류, 공급, 처리, 재이용 등 인공적인 요소를 감안하여 대상지역의 적절한 수요, 공급을 유지하는 시스템을 의미한다. 생활에서 물이 차지하는 중요성을 감안할 때, 지역의 수문학적 특성과 문화, 경제적 여건을 고려한 효율적인 물순환시스템의 구축은 지역발전의 정도를 가늠할 수 있는 지표라 할 수 있다. 본 연구는 물산업 선진국인 영국과 미국의 지역 물순환시스템 설계사례를 조사하고 초기단계인 국내사례와 비교하여 향후 설계지침 개발의 기초자료로 활용하기 위하여 수행되었다. 선진사례 조사는 2009년 이후 미국과 영국에서 수행된 세 건의 물순환 현황조사(water cycle study)와 미국에서 개발된 설계최적화 프로그램을 분석하였고, 국내사례로는 파주운정지구와 광교신도시 개발 시 수행된 물순환시스템 구축사례를 조사하였다. 해외 선진국 사례조사 결과, 물순환시스템 구축은 공통적으로 물순환망 현황조사, 물순환 계획수립, 지역현황 조사, 적용가능 기술조사, 설계 등 5단계를 거쳐 수행되었다. 이 중 가장 중요한 단계는 지역의 물수지와 가용 물 수요 및 공급 시스템을 조사하는 물순환망 현황조사로, 지역의 needs를 정확히 파악하고 양적, 질적 공급목표를 적절하게 선정하여 가장 효율적인 물순환망 계획을 수립하는 바탕이 되었다. 지역현황은 지역 법규 및 투자계획, 사회변화 예측 등 사회적 요소를 고려하는 단계로, 물순환 설계 선진사의 설계 최적화 프로그램의 경우 이러한 지역현황과 사회적 변화 예측의 반영에서 차별성을 갖고 있었다. 적용가능 기술조사의 경우 친환경, 저에너지 기술이 부각되던 추세에서 최근에는 지속가능성이 주요 고려사항 이었다. 국내사업 사례의 경우 규모가 작아 직접적인 비교가 불가하였으나, 5단계의 복잡한 최적화단계가 아닌 물순환망 분석결과와 이해당사자(stakeholders)의 needs를 바탕으로 치수안정성, 친수환경 보장 등의 목표를 수립하였다. 국내에서도 향 후 유역규모(watershed scale)의 대형 물순환기반 복합개발사업이나 대규모 해외사업 참여 시 필요한 기술력 축적의 차원에서 단계별 check list를 포함한 한차원 높은 물순환 설계지침 마련이 필요한 시점이라 하겠다.

• Journal of Korea Water Resources Association
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• v.39 no.3 s.164
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• pp.261-274
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• 2006

This study performs a daily long-term runoff analysis for 30 years to forecast medium- and long-term probabilistic reservoir inflows on the Soyang River basin. Snowmelt is computed by Anderson's temperature index snowmelt model and potenetial evaporation is estimated by Penman-combination method to produce input data for a rainfall-runoff model. A semi-distributed TOPMODEL which is composed of hydrologic rainfall-runoff process on the headwater-catchment scale based on the original TOPMODEL and a hydraulic flow routing model to route the catchment outflows using by kinematic wave scheme is used in this study It can be observed that the time variations of the computed snowmelt and potential evaporation are well agreed with indirect observed data such as maximum snow depth and small pan evaporation. Model parameters are calibrated with low-flow(1979), medium-flow(1999), and high-flow(1990) rainfall-runoff events. In the model evaluation, relative volumetric error and correlation coefficient between observed and computed flows are computed to 5.64% and 0.91, respectively. Also, the relative volumetric errors decrease to 17% and 4% during March and April with or without the snowmelt model. It is concluded that the semi-distributed TOPMODEL has well performance and the snowmelt effects for the long-term runoff computation are important on the study area.