• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.507-519
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• 2013

This study is to evaluate agricultural water supply capacity in Geum river basin (9,865 $km^2$), one of the 5 big river basin of South Korea using MODSIM-DSS (MODified SIMyld-Decision Support System) model. The model is a generalized river basin decision support system and network flow model developed at Colorado State University designed specifically to meet the growing demands and pressures on river basin management. The model was established by dividing the basin into 14 subbasins and the irrigation facilities viz. agricultural reservoirs, pumping stations, diversions, culverts and groundwater wells were grouped and networked within each subbasin and networked between subbasins including municipal and industrial water supplies. To prepare the inflows to agricultural reservoirs and multipurpose dams, the Soil and Water Assessment Tool (SWAT) was calibrated using 6 years (2005-2010) observed dam inflow and storage data. By MODSIM run for 8 years from 2004 to 2011, the agricultural water shortage had occurred during the drought years of 2006, 2008, and 2009. The agricultural water shortage could be calculated as 282 $10^6m^3$, 286 $10^6m^3$, and 329 $10^6m^3$ respectively.

• Journal of the Korean GEO-environmental Society
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• v.14 no.11
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• pp.55-63
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• 2013

Agricultural small dam reservoirs in Korea are vulnerable to flooding because of insufficient flood control capacity and deterioration such that reservoir water level is likely to rise rapidly and a large amount of water release quickly to downstream without flood warning. In this study, we performed hydrologic analysis to estimate design flood(200 years return period ${\times}1.2$) and also evaluated the effect of siphon spillway as a structural countermeasure for flood control and mitigation by applying reservoir routing to the Jipyeong reservoir, located in Sangju, Korea. The results show that the design flood was calculated at $284.3m^3/s$, and water level and water release decreased by 40cm and $91m^3/s$, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.435-435
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• 2017

최근 태국 짜오프라야강 유역의 물 부족 문제 해결을 위해 한국 정부와 태국 정부간 G2G사업으로 "태국 짜오프라야강 유역과 인근 유역 연계 수자원개발 마스터플랜 수립"이 추진되고 있다. 본 연구에서는 장기간 가뭄 등으로 물 부족 문제가 심각한 태국 짜오프라야강 유역에 대하여 다각적인 추가용수 공급방안을 검토하고 이를 토대로 수자원 장기 종합계획을 수립하기 위한 태국 짜오프라야강 유역의 물수급 현황 및 향후 전망을 분석하고자 한다. 본 연구에서는 ModSim 8.5 모형을 통해 물수급 현황 및 전망을 분석하였으며 대상유역은 짜오프라야강 유역과 인접한 유역 7개 유역(Ping, Wang, Yom, Nan, Sakae Krang, Pasak, Chao Phraya)을 대상으로 하였으며 총 유역면적은 $195,718km^2$로 우리나라 면적의 2배에 달한다. 또한 물수지 분석을 위한 입력자료 구축은 총 30년간(1986년 1월 1일 ~ 2013년 12월 31일)의 소유역별 자연유입량, 용수수요량(생활, 공업, 농업) 및 환경유량으로 구축하였으며 대상유역의 대규모 시설물인 19개소의 댐에 대한 제원도 태국 현지 기관을 통해 확보하여 물수지 분석에 적용하였다. 물수지 분석시 적용된 용수수요량에 대한 공급우선순위는 환경유량, 생할용수, 공업용수, 농업용수순이며 동일 용수의 경우 상류에 위치한 수요량에 우선순위를 우선적으로 부여하였다. 각 수요량에 대한 회귀율은 태국 물수급 해석 조건에 맞춰 환경유량 100%, 생공용수 0%, 농업용수 50%로 적용하였다. 연구결과, 2015년을 대상으로 분석한 불수급 현황은 생공용수의 경우, Ping과 Wang 유역에서만 수요량 대비 10~30%정도 부족량이 발생한데 반해 농업용수의 경우, 전 유역에서 약 20~40% 정도의 부족량이 발생하고 있으며 2025년 및 2035년을 대상으로 분석한 물수급 전망은 2015년 현황과 유사하나 부족량의 심도를 더욱 커지고 범위도 넓어지는 경향을 나타내고 있으며 농업용수의 경우 전유역에서 약 20~50%정도의 부족량이 발생하였으며 가장 극한 부족이 발생한 소유역은 80%까지도 발생될 것으로 전망되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.485-485
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• 2017

현재까지 국내에서는 미래에 발생할 수 있는 물 부족을 전망하고 이를 해소할 수 있는 여러가지 방안을 제시하는 수자원계획을 수립하고 있다. 대표적인 예로 국가수자원장기종합계획을 들 수 있으며 목표연도에 대한 사회 경제적 요인의 변화를 전망함으로써 용도별 수요량을 산정하고 공급가능량을 함께 고려하여 물 수급 전망을 수행하고 있다. 이 때 주요공급원으로는 하천유출량과 함께 건설되어 운영 중이거나 계획 중인 댐과 광역 및 공업용수도를 고려하고 있으며 산정된 수요량과 공급량을 통해 물수지 분석을 수행한 후 지역공급원으로 지하수 및 농업용저수지를 추가로 고려하고 있는 실정이다. 다시 말해 지하수에 대한 고려는 최근 이용하였던 암반지하수량을 미래에도 동일하게 이용가능하다는 가정 하에 분석을 수행한다는 것이다. 하지만 기후변화, 물이용패턴, 하천수질변화 등으로 인해 지하수량의 변화가 예상되고 있어 현재와 동일하게 이용할 수 있다는 지하수 관련 가정은 현실성이 떨어진다고 할 수 있다. 따라서 미래에 대한 물 수급 전망에 있어 지하수를 중요한 공급원으로 고려하여 분석할 필요가 있으며 이를 평가하고 분석할 모형의 개발이 절실한 상황이다. 본 연구에서는 기존의 수자원평가계획 모형인 K-WEAP모형과 지하수 모의 모형인 MODFLOW를 연계하여 지표수-지하수를 통합적으로 분석할 수 있는 K-WEAPccia ver 2.0을 개발하였다. 이 모형에서는 지표수-지하수 상호작용을 모의하기 위해 4가지 옵션을 개발하였으며 하천 또는 하도구간에 대한 지하수 유입량과 유출량을 직접 입력하는 방법, 모형 자체적으로 직접분석할 수 방법(토양수분방법 또는 하천과 지하수간의 관계 규명 방법) 및 MODFLOW와의 연결을 통해 지하수를 모의할 수 있도록 하였다. 개발된 모형을 통해 향후 물 수급 전망에 있어 주요한 공급원인 지하수를 함께 모의할 수 있도록 함으로써 보다 현실적이고 합리적인 수자원계획을 지원할 수 있을 것으로 기대된다.

• Journal of Korea Water Resources Association
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• v.54 no.6
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• pp.443-452
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• 2021

The authors obtained the discrete hedging rule for a reservoir's water supply operation by applying mixed-integer programming to save more water by earlier rationing of water supply for a drought period. The 'water supply adjustment guide' is the current operational method applied to the multipurpose reservoirs, and it was derived by a simulation method. Applying the two rules to the Hapcheon multipurpose dam's reservoir simulations with the inflow record from 2003 to 2018, the water supply deficit occurred for the long drought from 2015 to 2018. Especially, the no water supply or intermittent water supply persisted for the second half of 2017. The water supply adjustment guide had the 'normal water supply recovery threshold on storage,' which resulted in the water supply being unavailable in July 2017; then, the water supply suspension occurred until January 2018, when the reservoir storage was greater than the normal water supply recovery threshold. Despite the storage increasing due to the inflow of water into the reservoir, the suspension occurrence needs to be improved in practice. The current water supply adjustment guide and the discrete hedging rule for a reservoir's water supply operation are useful and realistic as the reservoir operation guide, which shows the concept of reducing water supply during the drought phase as scientific figures. However, to improve the reservoir simulation results, which do not provide any or intermittent water for several months, it is necessary to increase the current water supply reduction for drought phases.

• Journal of Wetlands Research
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• v.20 no.4
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• pp.353-362
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• 2018

The purpose of this study is to suggest a structure plan for improving the utilization of inactive storage in the dam for overcoming the drought. Inactive storage in the dam is composed of the emergency storage and dead storage. The emergency storage can be used for the case of emergency such as drought. But, in general, the dead storage for sedimentation is not used even for the emergency. Therefore, this study considers the part of dead storage that the sedimentation is not progressed yet can be used during the severe drought period and is called "drought storage in a dam". The accurate Sediment Level(SL) analysis for the computation of the drought storage should be performed and so the present and future SL in the dam reservoir is estimated using SED-2D linked with RMA-2 model of SMS. After the consideration of additionally available storage capacity based on the estimated SL, the drought storage is finally determined. Present data based on historical data, future predicted future climate factors by Representative Concentrarion Pathways(RCP) 8.5 scenario. Then, using the TANK model, dam inflows were determined, and future period such as SL and drought storage were suggested. As the results, we have found that the available drought storage will be reduced in the future when we compare the present drought storage with the future one. This is due to a increase variability of climate change. Therefore, we should take the necessary study for the increase of available drought storage in the future.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.3
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• pp.160-174
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• 2014

The purpose of this paper is to develop a meso-scale grid-based continuous hydrological model and apply to assess the future watershed hydrology by climate change. The model divides the watershed into rectangular cells, and the cell profile is divided into three layered flow components: a surface layer, a subsurface unsaturated layer, and a saturated layer. Soil water balance is calculated for each grid cell of the watershed, and updated daily time step. Evapotranspiration(ET) is calculated by Penman-Monteith method and the surface and subsurface flow adopts lag coefficients for multiple days contribution and recession curve slope for stream discharge. The model was calibrated and verified using 9 years(2001-2009) dam inflow data of two watersheds(Chungju Dam and Soyanggang Dam) with 1km spatial resolution. The average Nash-Sutcliffe model efficiency was 0.57 and 0.71, and the average determination coefficient was 0.65 and 0.72 respectively. For the whole Han river basin, the model was applied to assess the future climate change impact on the river bsain. Five IPCC SRES A1B scenarios of CSIRO MK3, GFDL CM2_1, CONS ECHO-G, MRI CGCM2_3_2, UKMO HADGEMI) showed the results of 7.0%~27.1 increase of runoff and the increase of evapotranspiration with both integrated and distributed model outputs.

• Journal of Korea Water Resources Association
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• v.44 no.4
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• pp.305-314
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• 2011

Imnam Dam construction and inter-basin water transfer use by North Korea have caused several problems including water resources management aspects in the downstream reach of North Han River. Therefore, cooperative works between North and South Korea are required to make a reasonable management situation of the shared river for water quantity and quality. However, efforts by the North and the South has done not enough to achieve equitable water use in the shared river. This study analyzes main impacts caused by Imnam Dam in key sectors for reviewing water use right regarded as the most important decision-making criterion in international rivers. As the results, water deficit by Imnam Dam is calculated at 379 million $m^3$/year when river drought year for water assessment is set in 1978 in the Han River basin. Additionally hydropower production is decreased by 234 GWh/year in exclusive hydropower generation dams. In respective of water quality, BOD concentration is increased by 0.065 ppm at Sambongli in North Han River. Finally it is identified that unequitable water use based on the absolute territorial sovereignty by North Korea in North Han River has directly and indirectly affected severe impacts to South Korea as the downstream user.

• Journal of Korea Water Resources Association
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• v.47 no.10
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• pp.891-906
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• 2014

This study suggests the hedging rule of MIP (Mixed Integer Programing) in counting the risk evaluation criteria of the objective function and constraints in order to provide the optimum operating rule in reservoir system as constraining water shortage as much as possible which may happen in the downstream control point of water supply in the aspect of water system management. The proposed model is applied to the Han-river reservoir system for two testing periods (Case I: Jan. 1993~Dec. 1997, Case II: Jan. 1999~Dec. 2003). The model based on the hedging rule with trigger volume, estimated in this study shows that in Case I, the monthly minimum discharge was $310.6{\times}10^6m^3$ in the single operation, $56.3{\times}10^6m^3$ in the joint operation, and $317.5{\times}10^6m^3$ in the hedging rule and also, in Case II, the monthly minimum discharge was found to be $204.2{\times}10^6m^3$ in the single operation, $111.2{\times}10^6m^3$ in the joint operation, and $243.7{\times}10^6m^3$ in the hedging rule. In conclusion, the hedging rule, proposed in this study can decrease vulnerability while guarantees reliability and resiliency.

• Journal of Korea Water Resources Association
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• v.31 no.1
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• pp.35-44
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• 1998

An integrated system of GIS and water quality model was suggested including the pollutant loads from the watershed. The developed system consists of two parts. First part is the GIS module. The geographic information system of the study area was built to provide the information on landuse and several surface factors concerning the overland flow processes of water and pollutants. Second part is the modeling modules which include storm event pollutant load model(SEPLM)., non-storm event pollutant load model(NSPLM), and river water quality simulation model(RWQSM). Models can calculate the pollutant load from the study area. The databases and models are linked through the interface modules resided in the overall system, which incorporate the graphical display modules and the operating scheme for the optimal use of the system. The developed system was applied to the Chungju multi-purpose reservoir to estimate the pollutant load during the four selected rainfall events between 1991 and 1993,. based upon monthly basis and seasonal basis in drought flow, low flow, normal flow and wet flow.