• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.3
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• pp.579-588
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• 2015

Recent climage changes have resulted in increases in rainfall intensity and flood frequency as well as the risk of flood damage due to typhoons during the summer season. Water-friendly facilities such as ecological parks and sports facilities have been established on floodplains of rivers since the river improvement project was implemented and increases in the flood levels of rivers due to typhoons can lead to direct flood damage to such facilities. To analyze the hydraulic influence of these water-friendly facilities on floodplains or to evaluate their stability, numerical analysis should be performed in advance. In addition, it is crucial to address the drying and wetting processes generated by water level fluctuations. This study uses a Nays2D model, which analyzes drying and wetting, to examine its applicability to simple terrain in which such fluctuations occur and to natural rivers in which drying occurs. The results of applying this model to sites of actual typhoon events are compared with values measured at water level observatories. Through this comparison, it is determined that values of coefficient of determination ($R^2$), mean absolute error (MAE), and root-mean-square error (RMSE) are 0.988, 0.208, and 0.239, respectively, thus showing a statistically high correlation. In addition, the results are used to calculate flood risk indices for evaluation of such risk for water-friendly facilities constructed on floodplains.

• Korean Journal of Community Nutrition
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• v.7 no.2
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• pp.219-231
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• 2002

The purpose of this study was to collect basic data on the prevention of and education about diabetes mellitus for the nutritional management of a diabetes mellitus risk group. The study which took place in Kangbukgu, Seoul, involved a diabetes mellitus risk group (DMR $\geq$ 110 mg/dL, 61), of males and females, aged 36 to 68 years, and a group of healthy people as a control group ( < 110 mg/dL, 183), using luting blood sugar (FBS) levels. The proportion of people in the abnormal range was higher in the DMR than that of control group for total cholesterol, high-density lipoproteins-cholesterol (HDL-C), total protein, glutamic oxaloacetic transaminase (GOT), glutamic pyruvic transaminase (GPT) and creatinine. Particularly with respect to serum protein the proportion in the DMR in abnormal range (p < 0.05) was significantly higher than that of the control group. The proportion in the DMR with a family history of disease was significantly higher than that of the control group (p < 0.01). Using body mass index (BMI), waist-hip ratio (WHR) and relative body weight (RBW), the obesity indices in the DMR was higher than that of the control group. Comparing the DMR and the control group with respect to dietary habits, it seems that the DMR had more undesirable dietary habits than the control group. When the intake of each nutrient for the DMR and the control group was compared to the Korean recommended dietary allowances (RDA), the proportion of excess intake and deficient intake in the DMR was higher than that of the control group. The DMR showed a greater undesirable dietary intake pattern as compared to that of the control group, based on the RDA. With respect to the dietary diversity score (DDS) and the mean adequacy ratio (MAR) for quality estimation of the overall flood intake, the DMR showed a feater undesirable pattern than the control group. According to the above results, the DMR tended to have more undesirable eating habits when compared to the control group. Therefore, to provide a more efficient nutritional education program for the DMR we must conduct lurker studies on eating habits, so as to provide systematic nutritional management based on theme differences between the DMR and the control group.

• Journal of Korea Water Resources Association
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• v.45 no.4
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• pp.393-407
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• 2012

This study suggests the results of temporal and spatial variations for rainfall data in the Korean Peninsula. We got the index of the rainfall amount, frequency and extreme indices from 65 weather stations. The results could be easily understood by drawing the graph, and the Mann-Kendall trend analysis was also used to determine the tendency (up & downward/no trend) of rainfall and temperature where the trend could not be clear. Moreover, by using the FARD, frequency probability rainfalls could be calculated for 100 and 200 years and then compared each other value through the moment method, maximum likelihood method and probability weighted moments. The Average Rainfall Index (ARI) which is meant comprehensive rainfalls risk for the flood could be obtained from calculating an arithmetic mean of the RI for Amount (RIA), RI for Extreme (RIE), and RI for Frequency (RIF) and as well as the characteristics of rainfalls have been mainly classified into Amount, Extremes, and Frequency. As a result, these each Average Rainfall Indices could be increased respectively into 22.3%, 26.2%, and 5.1% for a recent decade. Since this study showed the recent climate change trend in detail, it will be useful data for the research of climate change adaptation.