• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.171-182
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• 2006

In this study, rainfall-runoff analysis was performed for Yongdam watershed($930km^2$) using KOWACO flood analysis model based on Storage Function Method as lumped hydrologic model and Vflo which was developed for real-time flood prediction by University of Oklahoma. The results shows that, the hydrographs of lumped and distributed model with uncalibrated parameters which estimated from physical or experimental relationship show significant biases from observed hydrographs. However, the hydrograph at Cheoncheon site from the distributed model follows the actual hydrograph to an extent that no more calibration is necessary. It encourages that distributed model can have advantages for application in real-time flood forecasting as physically based distributed hydrologic model which can construct event-independent basin parameter group.

• Journal of the Korean Society of Hazard Mitigation
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• v.11 no.2
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• pp.103-112
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• 2011

This study aims to demonstrate the relationship between various factors and soil erosion or deposition, simulated from distributed rainfall-sediment-runoff model applications. We selected area, overland flow length, local slope as catchment representative characteristics among many important geographic factors and also used the grid-based accumulated rainfall as a representative hydro-climatic factor to assess the effect of these two different types of factors on erosion and deposition. The study catchment was divided based on the Strahler's stream order method for analysis of the relationship between area and erosion or deposition. Both erosion and deposition increased linearly as the catchment area became larger. Erosion occurred widely throughout the catchment, whereas deposition was observed at the grid-cells near the channel network with short overland flow lengths and mild slopes. In addition, the relationship results between grid-based accumulated rainfall and soil erosion or deposition showed that erosion increased gradually as rainfall amount increased, whereas deposition responded irregularly to variations in rainfall. Within the context of these results, it can be concluded that deposition is closely related with the geographic factors used in this study while erosion is significantly affected by rainfall.

• Journal of Korea Water Resources Association
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• v.37 no.6
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• pp.499-507
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• 2004

In this study, the fully coupled SWAT-MODFLOW model is developed by using the type of embedment MODFLOW in SWAT. Since SWAT model has semi distributed features, its groundwater component can't consider distributed parameters such as hydraulic conductivity, storage coefficient and spatially variable natures such as distribution of groundwater heads and pumping rate and so forth. The main purpose of this study is to overcome these limitations. This linkage is completed considering the interaction between stream network and aquifer to reflect boundary flow. To correspond HRU in SWAT to grid in MODFLOW, HRU-GRID conversion tool using DEM is newly suggested. As groundwater recharge of MODFLOW can be estimated accurately by SWAT model, the reliability of groundwater discharge and total runoff of watershed could be greatly enhanced.

• Journal of Korea Water Resources Association
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• v.41 no.5
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• pp.455-462
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• 2008

In this research, a distributed rainfall-runoff model based on physical kinematic wave was developed to simulate temporal and spatial distribution of flood discharge considering grid rainfall and grid based hydrological information. The developed model can simulate temporal change and spatial distribution of surface flow and sub-surface flow during flood period, and input parameters of ASCII format as pre-process can be extracted using GIS such as ArcGIS and ArcView. Output results of ASCII format as post-process can be created to express distribution of discharge in the watershed using GIS. The Namgang Dam Watershed was divided into square grids of 500m resolution and calculated by kinematic wave into an outlet through channel networks to review capability of the developed model. The model displayed precise results to be compared to the hydrograph.

• Journal of Korea Water Resources Association
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• v.56 no.2
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• pp.75-89
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• 2023

As the Mekong River basin is a nationally shared river, it is difficult to collect precipitation data, and the quantitative and qualitative quality of the data sets differs from country to country, which may increase the uncertainty of hydrological analysis results. Recently, with the development of remote sensing technology, it has become easier to obtain grid-based precipitation products(GPPs), and various hydrological analysis studies have been conducted in unmeasured or large watersheds using GPPs. In this study, rainfall-runoff simulation in the Mekong River basin was conducted using the SWAT model, which is a quasi-distribution model with three satellite GPPs (TRMM, GSMaP, PERSIANN-CDR) and two GPPs (APHRODITE, GPCC). Four water level stations, Luang Prabang, Pakse, Stung Treng, and Kratie, which are major outlets of the main Mekong River, were selected, and the parameters of the SWAT model were calibrated using APHRODITE as an observation value for the period from 2001 to 2011 and runoff simulations were verified for the period form 2012 to 2013. In addition, using the ConvAE, a convolutional neural network model, spatio-temporal correction of original satellite precipitation products was performed, and rainfall-runoff performances were compared before and after correction of satellite precipitation products. The original satellite precipitation products and GPCC showed a quantitatively under- or over-estimated or spatially very different pattern compared to APHPRODITE, whereas, in the case of satellite precipitation prodcuts corrected using ConvAE, spatial correlation was dramatically improved. In the case of runoff simulation, the runoff simulation results using the satellite precipitation products corrected by ConvAE for all the outlets have significantly improved accuracy than the runoff results using original satellite precipitation products. Therefore, the bias correction technique using the ConvAE technique presented in this study can be applied in various hydrological analysis for large watersheds where rain guage network is not dense.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.1169-1173
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• 2005

자연현상의 강우와 유출관계를 규명하는 일은 상당히 복잡하고 어려우며 대부분의 하천이 충분한 수문정보가 부족하기 때문에 수문학적인 문제의 해결을 위한 보다 정확하고 신속한 방법이 필요하다. 지리정보시스템 (Geographical Information Systems; GIS)은 강우-유출 등 수문학적 모델링에 있어서 많은 새로운 방법을 연구할 수 있다. 우리나라 소하천 유역은 아직 수위나 유량 관측이 행해지지 않은 미계측유역이 있어 홍수시 정확한 유출량 추정이 어려운 실정이다. 이에 본 연구에서는 GIS와 WMS를 이용하여 지형특성인자값을 산정하고, 유역특성인자들을 IHP 대표유역인 설마천 유역에 적용하여 DEM 격자크기별 지형특성인자값을 비교하고, HEC-HMS 수문모형을 이용하여 유출수문곡선을 모의하고 이 결과와 실제 수문곡선과의 비교를 통하여 설마천 유역의 적정한 DEM 격자크기를 결정해 보고자 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.953-956
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• 2009

본 연구는 농업용저수지유역을 대상으로 분포형 강우-유출모형을 적용해 봄으로서 차후 본 연구대상유역의 분포형 강우유출모형을 이용한 설계홍수량 산정에 활용해 보기 위한 사전연구이다. 농업용저수지유역을 대상으로 모의하기 위하여 자동수위계를 통하여 저수지 수위자료가 주기적으로 기록되고 있는 계룡저수지 유역($15.4km^2$)을 선정하였으며, 주요 공간매개변수는 30m 격자해상도로 구축하였다. 관측유량자료는 수위-내용적-방류량 관계곡선에 의하여 수위변화에 따른 내용적 변화량을 유입량으로 가정하여 환산토록 하였으며, 곡선의 진동이 다소 작고 상태가 양호한 3개 강우사상을 대상으로 분석하였다. 대상유역의 2개 강우관측소(복룡, 반포)의 강우량을 IDW 방법에 의해 공간분포시켜 적용하였으며, 모형의 분석결과, 결정계수($R^2$)는 평균0.88, 용적보존지수(VCI)는 평균 0.14, 첨두유량의 상대오차 ($EQ_p$)는 평균 $0.11m^3/s$로 분석되었다.

• Water Engineering Research
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• v.5 no.2
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• pp.81-99
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• 2004

Long term streamflow regime under virtual climate change scenario was examined. Rainfall forecast simulation of the Canadian Global Coupled Model (CGCM2) of the Canadian Climate Center for modeling and analysis for the IPCC SRES B2 scenario was used for analysis. The B2 scenario envisions slower population growth (10.4 billion by 2010) with a more rapidly evolving economy and more emphasis on environmental protection. The relatively large scale of GCM hinders the accurate computation of the important streamflow characteristics such as the peak flow rate and lag time, etc. The GCM rainfall with more than 100km scale was downscaled to 2km-scale using the space-time stochastic random cascade model. The HEC-HMS was used for distributed hydrologic model which can take the grid rainfall as input data. The result illustrates that the annual variation of the total runoff and the peak flow can be much greater than rainfall variation, which means actual impact of rainfall variation for the available water resources can be much greater than the extent of the rainfall variation.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2000.10a
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• pp.519-524
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• 2000

The goal of this research is the establishment of a connection of an existing water quality model to GIS. The water quality model investigated was the Water Quality Analysis Simulation Program (WASP5), while the actual linkage was performed using object-oriented programming. The runoff and the non-point source loadings into the Channel were determined using a grid-based model developed in GIS. Afterwards, scripts were written in the ArcView programming language, Avenue, in order for ArcView to perform the following tasks : 1) write the input file informations, 2) format the input information into the proper WASP5 file, 3) execute the WASP5 subprogram for modeling.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.43-46
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• 2010

본 연구는 강우-유출모형을 이용하여 레이더 반사도(CAPPI)의 격자 크기에 따른 유출량 오차를 추정하여 적절한 레이더 격자망 크기를 알아보고자 한다. 현재 레이더 격자 크기의 선정 기준은 명확하게 결정되어 있지 않지만, 통상적으로 바람의 영향을 고려하여 격자크기를 4km ${\times}$ 4km를 선정하고 있다. 이런 격자 크기의 결정방법은 바람의 영향만을 고려하였기 때문에 수문학적 적용에 있어 한계점을 가지고 있다. 따라서 강우-유출모형인 SWAT을 이용하여 레이더 격자의 크기를 변화에 따른 유출량의 영향을 파악하고자 한다.