In this study, water supply for Geum River Basin was calculated by regulating the future water supply of Dam with the future expected discharges. HadGEM2-AO, which is the climate change prediction model that KMA (Korea Meteorological Administration) recently introduced was used for this study. The data of weather stations within the Geum River basin was extracted with the new Greenhouse Gas RCP scenario. The runoff of Geum river basin was simulated using the ArcSWAT for the 1988～2010 period. After validating the model, the similarity of results between simulation and observation at the Yongdam Dam and Daecheong Dam was 92.25% and 95.40%, respectively, which shows a good agreement with observed data. As the result of analysis for the discharges, the discharges would increase 47.76% under the RCP4.5 scenario and 36.52% under the RCP8.5 scenario. Water balance analysis was conducted by the KModSim for predicting the water supply under the runoff variation. We analyzed the volume of water intake with national standard of water supply 95%

Lately, intensity and frequency of natural disasters such as flood are increasing because of abnormal climate. Casualties and property damages due to large-scale floods such as Typhoon Rusa in 2002 and Typhoon Maemi in 2003 rapidly increased, and these show the limits of the existing disaster prevention measures and flood forecasting systems regarding irregular climate changes. In order to efficiently respond to extraordinary flood, it is important to provide effective countermeasures through an inundation model that can accurately simulate flood inundation patterns. However, the existing flood inundation analysis model has problems such as excessive take of analysis time and accuracy of the analyzed results. Therefore, this study conducted a flood inundation analysis by using the Gerris flow solver that uses quadtree grid, targeting the Baeksan Levee in the Nakdong River Basin that collapsed because of a concentrated torrential rainfall in August, 2002. Through comparisons with the FLUMEN model that uses unstructured grid among the existing flood inundation models and the actual flooded areas, it determined the applicability and efficiency of the quadtree grid-based flood inundation model of the Gerris flow solver.

Damage of construction works due to flooding in 1997 and 2002 in the Czech Republic initiated investigations of structural failures and reassessment of available data for discharge extremes. In this study, hydrological data for 166 annual maximum discharges of the Vltava River in Prague since 1827 are analysed using various statistical methods. Moment characteristics of the measurements -the mean, standard deviation and skewness -are estimated and the enhancing effect of an exceptional observation in 2002 is detected. The annual maxima are described by two-or three-parameter lognormal distributions and the extreme value distributions of the type I and II. Standard statistical Kolmogorov and chi-square tests are applied to assess goodness of fit of the theoretical models. It appears that a two-parameter lognormal distribution may be the most suitable theoretical model. Assuming this distribution, extreme discharges corresponding to characteristic and design values are estimated. It is shown that the partial safety factor estimated from the measurements significantly differs from the recommended value of 1.5. The discharge in 2002 corresponds to an exceptionally long return period. It is concluded that statistical methods provide a valuable background for evaluation and prediction of discharges. However, the presented analysis should be further improved to include non-statistical aspects that influence discharges such as the effects of water management and deforestation.

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In this paper, the technique that determines efficient process combinations for the ultrapure water production was studied. The ultrapure water is one of the industrial water used in industrial activity and required in the advanced technology integrated industry. It is produced by combined process including filtration, ion exchange processes, the reverse osmosis (RO) process, degassing (DG) process and UV-oxidation (UVox) process. An ultrapure water production process consists of 15-20 different water treatment unit process. In this study, a pilot plant was built and operated to research the design parameters for the individual process. Through the pilot plant operation, 19 effective combinations were optimized among various processes. And then, 11 of them satisfied the final quality of the ultrapure water. The stability and economic feasibility were evaluated about the final 11 process combinations.