• Journal of Korea Water Resources Association
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• v.34 no.5
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• pp.543-549
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• 2001

This research estimated stream discharges indirectly by hydraulic channel routing. Only stage data from three stage stations and river cross section data were used to estimate Manning roughness coefficients and to compute stream discharges. When the discharges were estimated a stage-stage set of conditions was used for upstream-downstream boundary conditions. The research used the data from the upper Mississippi River. The hydraulic channel routings were performed by DWOPER (operational dynamic wave model). The global optimization program of SCE-UA was used to improve the roughness coefficient estimation module of the modified Newton-Raphson method in DWOPER. The results from SCE-US were better. For the case study of a flood, most estimated discharges except a few show errors within 10%.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.586-591
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• 2009

권 등(2008)은 수면보다 높은 정방형 다열기둥의 수리실험을 수행하여 바닥마찰과 구조물에 의한 흐름저항을 포함하고 항력상호작용계수가 적용된 Manning계수 형태의 상당저항계수 이론식을 제안하였으나 저항체의 횡방향 간격에 대해서는 충분한 연구가 수행되지 못하였다. 따라서 본 연구에서는 오리피스의 에너지 손실계수를 적용하여 횡방향 간격에 따른 항력상호작용계수식을 제안하였다. 또한 정방형 다열기둥의 다양한 횡방향 간격에 따른 흐름양상을 FLOW-3D를 이용한 수치실험을 수행하여 상당저항계수 n을 측정하였으며 수치실험 결과를 본 연구에서 제안한 횡방향 항력상호작용계수식이 적용된 이론식과 비교하였다. 이론식과 수치실험 결과는 잘 일치하였으며 이 결과로부터 본 논문에서 제안한 횡방향 항력상호작용계수식이 유효함을 확인하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.914-918
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• 2009

권 등(2008)은 수면보다 높은 정방형 다열기둥을 이용한 수리실험을 수행하여 수심과 이격거리에 따른 상당저항계수를 측정하였으며 이를 바탕으로 Manning 계수형태의 상당저항계수 이론식을 제안하였다. 본 연구는 수면보다 높은 원형 다열기둥을 이용한 수리실험을 수행하여 이격거리와 수심에 따른 상당저항계수를 측정하였다. 실험결과로부터 이격거리만의 함수로 가정한 항력상 호작용계수를 추정하여 이를 권 등(2008)의 이론식에 적용하여 실험결과와 비교하고 분석하였다. 정방형 다열기둥의 실험결과와 원형 다열기둥의 실험결과를 비교하여 흐름방향 이격거리가 큰 범위에서는 원형기둥의 저항계수가 정방형기둥의 저항계수보다 작게 측정되지만 흐름방향 이격거리가 감소할수록 원형기둥의 저항계수가 정방형기둥의 저항계수보다 증가하면서 원형기둥이 정방형 기둥보다 저항정도가 큰 상태가 되는 것을 알 수 있었다.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.84-87
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• 2006

It was investigated what is the reasonable landcover classification system for the nonpoint pollution models. According to the parameters of the nonpoint pollution models, runoff curve number, crop management factor and Manning's roughness coefficient, the landcover classification system was proposed to manage the drainage basin of the Woopo wetland. Also, the rule-based classification method was adopted to extract the landcover information for this study area.

• Journal of Korea Water Resources Association
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• v.31 no.4
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• pp.429-437
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• 1998

The numerical model named "DWOPER-LEV" for the uncertainty analysis of flood inundation is developed. DWOPER model is expanded to compute overtopping risks of levee and to predict the range of the possible flood extent. Monte-Carlo simulation is applied to examine the uncertainties in cross section geometry and Manning's roughness coefficient. The model is applied to an actual levee break of the South Han River. The risks of overtopping are computed and the possible range of inundated area and inundated depth are estimated.

• 한국방재학회:학술대회논문집
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• 2010.02a
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• pp.95.2-95.2
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• 2010

조도계수는 자연하천의 흐름해석에 사용되는 매우 중요한 변수로서, 하천의 단면, 하상입자들의 크기 및 형상, 식생, 수로단면의 변화, 수로의 만곡, 수위와 유량 등 매우 복합적인 요소의 영향을 받는 경험적 매개변수이다. 일반 자연하천에서는 유량이 적어질 경우 하천구간 내 여울이나 보의 영향으로 수면 불연속 흐름이 발생할 가능성이 커지기 때문에 수리학적 모형을 이용하여 조도계수를 산정할 경우 계산 구간 내 수면 불연속 구간에서 부정확한 조도계수가 산정되는 한계가 있다. 따라서 본 연구에서는 여울이나 장애물이 존재하지 않는 대표하천을 선정하여 대표적인 특성을 갖는 하천에 대하여 평 갈수기 조도계수를 산정하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.258-258
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• 2018

In this study, a hydraulic flow model and an error correction model are combined to improve the flood simulation accuracy. First, the hydraulic flow model is calibrated by optimizing the Manning's roughness coefficient that considers spatial and temporal variability. Then, an error correction model were used to correct the systematic errors of the calibrated hydraulic model. The error correction model is developed using Artificial Neural Networks (ANNs) that can estimate the systematic simulation errors of the hydraulic model by considering some state variables as inputs. The input variables are selected using parital mutual information (PMI) technique. It was found that the calibrated hydraulic model can simulate flood water levels with good accuracy. Then, the accuracy of estimated flood levels is improved further by using the error correction model. The method proposed in this study can be used to the flood control and water resources management as it can provide accurate water level eatimation.

• Journal of Korea Water Resources Association
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• v.52 no.1
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• pp.21-33
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• 2019

This study performed to simulate the watershed storm runoff using data of S-band dual-polarization radar rain, GPM (Global Precipitation Mission) satellite rain, and observed rainfall at 21 ground stations operated by KMA (Korea Meteorological Administration) respectively. For the 3 water level gauge stations (Sancheong, Changchon, and Namgang) of NamgangDam watershed ($2,293km^2$), the KIMSTORM2 (KIneMatic wave STOrm Runoff Model2) was applied and calibrated with parameters of initial soil moisture contents, Manning's roughness of overland and stream to the event of typhoon CHABA (82 mm in watershed aveprage) in $5^{th}$ October 2016. The radar and GPM data was corrected with CM (Conditional Merging) method such as CM-corrected Radar and CM-corrected GPM. The CM has been used for accurate rainfall estimation in water resources and meteorological field and the method combined measured ground rainfall and spatial data such as radar and satellite images by the kriging interpolation technique. For the CM-corrected Radar and CM-corrected GPM data application, the determination coefficient ($R^2$) was 0.96 respectively. The Nash-Sutcliffe efficiency (NSE) was 0.96 and the Volume Conservation Index (VCI) was 1.03 respectively. The CM-corrected data of Radar and GPM showed good results for the CHABA peak runoff and runoff volume simulation and improved all of $R^2$, NSE, and VCI comparing with the original data application. Thus, we need to use and apply the radar and satellite data to monitor the flood within the watershed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6B
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• pp.697-707
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• 2008

The grid-based KIneMatic wave STOrm Runoff Model (KIMSTORM) by Kim (1998) predicts the temporal variation and spatial distribution of overland flow, subsurface flow and stream flow in a watershed. The model programmed with C++ language on Unix operating system adopts single flowpath algorithm for water balance simulation of flow at each grid element. In this study, we attempted to improve the model by converting the code into FORTRAN 90 on MS Windows operating system and named as ModKIMSTORM. The improved functions are the addition of GAML (Green-Ampt & Mein-Larson) infiltration model, control of paddy runoff rate by flow depth and Manning's roughness coefficient, addition of baseflow layer, treatment of both spatial and point rainfall data, development of the pre- and post-processor, and development of automatic model evaluation function using five evaluation criteria (Pearson's coefficient of determination, Nash and Sutcliffe model efficiency, the deviation of runoff volume, relative error of the peak runoff rate, and absolute error of the time to peak runoff). The modified model adopts Shell Sort algorithm to enhance the computational performance. Input data formats are accepted as raster and MS Excel, and model outputs viz. soil moisture, discharge, flow depth and velocity are generated as BSQ, ASCII grid, binary grid and raster formats.

• Journal of Korean Society on Water Environment
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• v.25 no.1
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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 $4^{\circ}C$.