• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.1
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• pp.28-38
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• 2004

The purpose of this study is to analyze the urban hydrologic state by the use of GIS, resolution and interpolation. The determination coefficient($R^2$) and Regression Formula were derived from the contour of digital map for the accuracy, and DEM data was made by using TIN interpolation by the size of the grid. By using the observed DEM data, topographical factors were extracted from the small basin, size, the width of a basin and the slope, and were applied in the urban runoff model. Through the model, we tried to find out the most suitable runoff model in a small basin of Yosu-Munsu area. As a result of applying models to the drainage considered, the runoff hydrograph estimated by SWMM model was closer to the observed one than that estimated by ILLUDAS model. The difference between the runoff hydrograph by SWMM and the observed one is maximum error of 19%, minimum error of 5% and average error of 13%. The influence of duration in contrast to pick time is insignificant in a urban small basin. As a conclusion of this study, SWMM model was more suitable and applicable for the urban runoff model than ILLUDAS model due to its accuracy and various abilities.

• Journal of Korea Water Resources Association
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• v.33 no.3
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• pp.279-288
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• 2000

The impact of land slope to the degree of flow divergence was considered employing distributional applications of slope exponents in the now directlOn algoriUnns. Lmear, exponential and ]X)wer law of distributional functIons were employed to address the variation of slope exponents m a terrain analysis. Dongok subwatershed at Wichun test watershed was selected as a study area. Digital Elevation Models of 20m, 30m, 40m and 50m grid size were made to perfonn the analysis. Various calcualtion methodologies of topographic index and the impact of grid sizes were investigated in terms of statistical and spatial aspects. DIstributional applications of slope e.xponents made it possible to represent the flow divergence and convergence about the ten-ain characteristics. The Monte~Carlo method was used to simulate six runoff events to check the impact of topographic factor in the runoff simulation.

• Journal of Wetlands Research
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• v.13 no.3
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• pp.707-720
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• 2011

For the lake case, the detention phenomenon of water body occurs and stays for a long time. Especially, following the layer of water depth direction, the lake body and water quality problems are different from the water quality of river. So according to time, the stream and water quality can be simulated by the 3-Dimensional Model, which can divide water layer for reservoir or lake. The water quality simulation result will become more reliability. For this study, the 3-Dimension Model - EFDC was used to simulate water quality of Unam reservoir in the Sumjin Dam. The HEC-GeoHMS and HEC-HMS Rainfall - Runoff Model based on GIS were used to estimate long-term runoff, and input data was constructed to the observed water level, meteorological data, water temperature, T-N and T-P. In order to apply the EFDC model, water depth was divided into 3 layers and 5,634 grids were extracted. After constructing the grid net, the water quality change of Unam reservoir in time and space was simulated. Overall, long term runoff simulation reflected the actual observed runoff well, through the water quality simulation, according to the pollution factors, the behavior characteristics can be checked, and the simulated water quality can be properly reflected. The function of EFDC has been confirmed, which water quality can be properly simulated. In the near future, to establish countermeasures for Intake Facilities of Watershed and Management, this support which some basic tools can be applied is in expectation.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1783-1787
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• 2007

In this paper we applied radar rainfall for assessment that radar can be used for flood forecasting. The radar data observed at Imjin-River radar site was adjusted using conditional merging method to estimate simulated runoff in Anseon-cheon basin. Also we use two dimensional physical and grid based model call $Vflo^{TM}$. As a result we could find simulated hydrologic curve shows good fitting with observed hydrologic curve even parameters of the model were not calibrated. If we calibrate the parameters, we can expect better hydrologic curve. And radar rainfall can be used for water resources fields and flood forecasting in Korea.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.382-382
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• 2023

기존의 GRM(Grid based rainfall-Runoff Model)에서는 강우-유출 사상에 대한 유출 모의를 주요 대상으로 하였다. 본 연구에서는 GRM 모형에서 연속형 모의가 가능하도록 차단, 증발산, 융설을 모의할 수 있는 모듈을 개발하였다. 차단은 LAI의 연최댓값과 해당월의 값의 비율을 이용해서 계산하며, 증발산은 Blaney-Criddle, Hamon, Hargreaves, Priestly-Taylor 방법을 적용하였다. 융설은 Anderson에 의해서 제안된 방법을 적용하였다. 연속형 모의를 위한 모델 매개변수 설정 인터페이스를 추가하였으며, 기온, 일사량, 일조시간 등의 기상자료를 입력할 수 있게 하고, 계산된 각 수문성분을 출력할 수 있도록 GRM 모형의 입력과 출력 모듈을 개선하였다. 충주댐 유역을 대상으로 개선된 모형을 적용하였다. 공간자료의 해상도는 500m × 500m로 구축하였으며, 수문학적 지형정보와 토양도, 토지피복도를 구축하였다. 기상자료를 강수량, 일최고 기온, 일최저 기온, 일조시간, 일사량을 적용하였다. 증발산은 Hargreaves 방법을 이용하여 모의하였다. 모의 기간은 2001년 ~ 2018년이며, 이 중 2004년까지의 4년은 모델 warming up 기간으로 하고, 적합도 평가는 2005년 ~ 2018년의 모의결과를 이용하였다. 충주댐 유입량 모의결과를 관측값과 비교하였을 때 Nash-Sutcliffe model efficiency coefficient(NSE) 0.84, 상관계수 0.92, 총용적 오차는 0.26%를 나타내어 관측유입량을 잘 재현하였다. 그러므로 본 연구에서 개발된 차단, 증발산, 융설 모의 기법은 적절히 구현된 것으로 판단되며, GRM을 이용한 연속형 모의가 가능한 것으로 나타났다. 향후 연구에서는 좀 더 다양한 유역에 대해 GRM을 이용한 연속형 유출모의 결과를 평가할 필요가 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.300-300
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• 2021

최근 기후변화와 기상이변으로 예측하지 못한 게릴라성의 국지성호우로 인해서 과거 장마와 같은 피해가 아닌 변화된 강우패턴으로 막대한 피해가 나타나고 있다. 또한, 이러한 게릴라성 호우는 예측 또한 어려운 경향을 나타낸다. 이러한 피해를 방지하기 위해 단기유출 예측을 위해 사용되는 다양한 모형들 가운데 GRM(Grid based Rainfall-runoff Model)을 사용하였으며, GRM모델은 단기유출해석에 사용되며 국내에서 개발된 물리적 기반 모형이다. 본 연구에서는 한강의 하류인 청미천 유역을 대상으로 강우-유출 분석을 진행하였으며, 환경부의 11개 기상관측소의 자료를 이용한 티센망도 기반의 면적강우량으로 산정하였고 이를 GRM에 적용하였다. 강우자료의 Event 선정기간은 2011년 6월 29일부터 2011년 7월 1일까지 86.83mm 강수가 내린 Event이다. 공간자료는 국토지리정보원의 90M DEM(Digital Elevation Model), 농촌진흥청의 정밀토양도와 토심, 환경부 환경공간서비스의 대분류 토지이용도를 이용하였다. 또한, 검정을 위해서 정형우도인 NSE, 비정형우도인 Log-normal 우도를 이용하여 분석하였으며, 각각의 결과값은 NSE 0.966, Log-normal은 -1214.97의 값을 나타냈다. 추후, 다양한 적합지표를 이용하여 GRM의 강우패턴별, 유역별대표매개수가 산정된다면 홍수방어를 위한 강우-유출 모형으로 매우 유용하게 활용될 것으로 판단된다.

• Journal of Environmental Science International
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• v.16 no.4
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• pp.523-532
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• 2007

This study utilized the 1/25,000 topographic map of the upper area from the Geum-ho watermark located at the middle of Geum-ho river from the National Geographic Information Institute. For the analysis, first, the influence of the size of critical area to the hydro topographic factors was examined changing grid size to $10m{\times}10m,\;30m{\times}30m\;and\;50m{\times}50m$, and the critical area for the formation of a river to $0.01km^2{\sim}0.50km^2$. It is known from the examination result of watershed morphology according to the grid size that the smaller grid size, the better resolution and accuracy. And it is found, from the analysis result of the degree of the river according to the minimum critical area for each grid size, that the grid size does not affect on the degree of the river, and the number of rivers with 2nd and higher degree does not show remarkable difference while there is big difference in the number of 1st degree rivers. From the results above, it is thought that the critical area of $0.15km^2{\sim}0.20km^2$ is appropriate for formation of a river being irrelevant to the grid size in extraction of hydro topographic parameters that are used in the runoff analysis model using topographic maps. Therefore, the GIUH model applied analysis results by use of the river level difference law proposed in this study for the explanation on the outflow response-changing characters according to the decision of a critical value of a minimum level difference river, showed that, since an ogival occurrence time and an ogival flow volume are very significant in a flood occurrence in case of not undertow facilities, the researcher could obtain a good result for the forecast of river outflow when considering a convenient application of the model and an easy acquisition of data, so it's judged that this model is proper as an algorism for the decision of a critical value of a river basin.

• Journal of Korea Water Resources Association
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• v.43 no.7
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• pp.667-679
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• 2010

The distributed hydrologic model has been considerably improved due to rapid development of computer hardware technology as well as the increased accessibility and the applicability of hydro-geologic information using GIS. It has been acknowledged that physically-based distributed hydrologic model require significant amounts of data for their calibration, so its application at ungauged catchments is very limited. In this regard, this study was intended to develop a distributed hydrologic model (S-RAT) that is mainly based on conceptually grid-based water balance model. The proposed model shows advantages as a new distributed rainfall-runoff model in terms of their simplicity and model performance. Another advantage of the proposed model is to effectively assess spatio-temporal variation for the entire runoff process. In addition, S-RAT does not rely on any commercial GIS pre-processing tools because a built-in GIS pre-processing module was developed and included in the model. Through the application to the two pilot basins, it was found that S-RAT model has temporal and spatial transferability of parameters and also S-RAT model can be effectively used as a radar data-driven rainfall-runoff model.

• Journal of Korea Water Resources Association
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• v.46 no.11
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• pp.1041-1052
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• 2013

In this study, we estimate parameters of a distributed hydrologic model, GRM (grid based rainfall-runoff model), using a model-independent parameter estimation tool, PEST. We implement auto calibration of model parameters such as initial soil moisture, multipliers of overland roughness and soil hydraulic conductivity in the Geumho River Catchment and the Gamcheon Catchment using radar rainfall estimates and ground-observed rainfall represented by Thiessen interpolation. Automatic calibration is performed by GRM-MP (multiple projects), a modified version of GRM without GUI (graphic user interface) implementation, and "Parallel PEST" to improve estimation efficiency. Although ground rainfall shows similar or higher cumulative amount compared to radar rainfall in the areal average, high spatial variation is found only in radar rainfall. In terms of accuracy of hydrologic simulations, radar rainfall is equivalent or superior to ground rainfall. In the case of radar rainfall, the estimated multiplier of soil hydraulic conductivity is lower than 1, which may be affected by high rainfall intensity of radar rainfall. Other parameters such as initial soil moisture and the multiplier of overland roughness do not show consistent trends in the calibration results. Overall, calibrated parameters show different patterns in radar and ground rainfall, which should be carefully considered in the rainfall-runoff modelling applications using radar rainfall.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.1B
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• pp.29-39
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• 2012

Climate change has been obtained researchers' interest, especially in water resources engineering to adjust current conditions to the new circumstance influenced by climate change. In this study, WRF-ARW will be evaluated the capability to estimate distributed precipitation using global weather information instead of the data from rainfall observatory or radar. Cheongmi watershed is selected and adopted to generate a distributed rainfall-runoff model using ModClark. The results from the distributed model with precipitation data from WRF-ARW and the lumped model using observed precipitation data were compared to the observed discharge values. The final results showed that the distributed model, ModClark generated similar pattern of hydrograph to the observations in terms of the time and amount of peak discharge. In addition, the trend of hydrograph from the distributed model presented similar pattern to the observations.