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배덕효 國立 昌原大學校 産業技術硏究所 1996 産技硏論文集 Vol.10 No.-
The subjective research attempts to develop a state-space form of diffusion-wave channel routing model that can be applicable on a natural channel for the real-time flow forecasting and to test the model performances with various different model options such as deterministic or stochastic, linear or nonlinear routing. The selected area is the main Han River starting from the Paldang Dam site to the Indogyo station passing through the city of Seoul. It is concluded that the developed model is feasible and produces reliable forecast system on the study area.
Rainfall Estimation for Hydrologic Applications
Bae, Deg-Hyo,Georgakakos, K.P.,Rajagopal, R. Korea Water Resources Association 1996 Korean journal of hydrosciences Vol.7 No.-
The subject of the paper is the selection of the number and location of raingauge stations among existing ones for the computation of mean areal precipitation and for use as input of real-time flow prediction models. The weighted average method developed by National Weather Service was used to compute MAP over the Boone River basin in Iowa with a 40 year daily data set. Two different searching methods were used to find local optimal solutions. An operational rainfall-runoff model was used to determine the optimal location and number of stations for flow prediction.
배덕효(Deg-Hyo Bae),정일원(Il -Won Jung),한화진(Hwa-Jin Han) 경기연구원 2007 경기논단 Vol.9 No.4
The impacts of climate change are evaluated and the adaptation strategies are proposed to minimize climate change impacts on water resources in the Han river sub-basins. Mann-Kendall test and linear regression method were used for analysis of trends in precipitation and streamflow time series. Also, the spatial and temporal variations of water resources are estimated in each sub-basin under a climate change simulation with A2 emission scenario. The results indicated that flood and drought occurrence possibility by climate change are increased in Han River basin in the future. Therefore, the enhancement of adaptation capacity against climate change impacts and the establishment of resonable water use plan are recommended for this region.
Long-term trend of precipitation and runoff in Korean river basins
Bae, Deg-Hyo,Jung, Il-Won,Chang, Heejun John Wiley Sons, Ltd. 2008 Hydrological processes Vol.22 No.14
<P>The spatial and temporal variations of precipitation and runoff for 139 basins in South Korea were investigated for 34 years (1968–2001). The Precipitation-Runoff Modelling System (PRMS) was selected for the assessment of basin hydrologic response to varying climates and physiology. A non-parametric Mann–Kendall's test and regression analysis are used to detect trends in annual, seasonal, and monthly precipitation and runoff, while Moran's I is adapted to determine the degree of spatial dependence in runoff trend among the basins. The results indicated that the long-term trends in annual precipitation and runoff were increased in northern regions and decreased in south-western regions of the study area during the study period. The non-parametric Mann–Kendall test showed that spring streamflow was decreasing, while summer streamflow was increasing. April precipitation decreased between 15% and 74% for basins located in south-western part of the Korean peninsula. June precipitation increased between 18% and 180% for the majority of the basins. Trends in seasonal and monthly streamflow show similar patterns compared to trends in precipitation. Decreases in spring runoff are associated with decreases in spring precipitation which, accompanied by rising temperatures, are responsible for reducing soil moisture. The regional patterns of precipitation and runoff changes show a strong to moderate positive spatial autocorrelation, suggesting that there is a high potential for severe spring drought and summer flooding in some parts of Korea if these trends continue in the future. Copyright © 2008 John Wiley & Sons, Ltd.</P>
Bae, Deg-Hyo,Trinh, Ha Linh,Nguyen, Hoang Minh Elsevier 2018 JOURNAL OF HYDRO-ENVIRONMENT RESEARCH Vol.20 No.-
<P>This study investigated the flow simulation uncertainty caused by the model parameters and input data for the Imjin River basin using the generalized likelihood uncertainty estimation (GLUE) method and the Sejong University rainfall-runoff (SURR) model for four events during 2007, 2008, 2009 and 2010. Based on the nonsystematic errors caused by the rainfall interpolation process, the input uncertainty was estimated and compared with the model parameter uncertainty for the regions with different data information situations. The reasons for the high or low uncertainty of the model parameters and input were also analyzed. Two indices were used to examine the uncertainty of the streamflow simulation: the ratio of the number of observations falling inside the uncertainty interval (p - factor) and the width of the uncertainty interval (r - factor). The results indicated that the uncertainty of the streamflow simulation of the northern area (Gunnam station) was significantly higher than that of the southern areas (Jeonkok and Jeogseong stations) for both model parameter and input uncertainty. In the southern areas, the parameter uncertainty was higher than the input uncertainty. However, the northern area exhibited the opposite trend, with the former being lower than the latter. Additionally, the uncertainty was also shown in the time of the hydrograph. The uncertainty at the peak flow was higher than that at the beginning or the end of each event.</P>