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김금지(Kim Keum-Ji),카마타요코(Kamata Yoko),이정재(Yee Jung-Jae),윤성환(Yoon Seong-Hwan) 한국태양에너지학회 2009 한국태양에너지학회 학술대회논문집 Vol.2009 No.11월
In this study, we performed urrban climate simulation how both the factor of environmental land and artificial factors influence on the formation of urban temperature. With deducing quantitative data, this study could get more accurate results of the urban temperature using urban climate simulation system. In the case of natural land cover, it appeared that there are effects on the lowering temperature and the lower temperature rate appeared in the water land cover on the whole. This is considered as temperature in water land was low because of the characteristics of water land having evaporation latent heat was high and convective sensible heat was low. In case of building which has building coverage ratio, 5% with 10 floors and building coverage ratio, 15 % with 6 floors, it appears that the temperature in the water land is 33.6 ℃. In case of building coverage ratio 5%, temperature dropped when buildings has more than 4 stories. This is regarded as the size of building is bigger, the temperature dropped in relatively because of the fluctuation of the rate of solar heat from the land. At the present time, the urban temperature are higher because of various artificial factors in the city. With these results, this study supoosed to be a basies of the future studies for considering both the composition of building coverate ratio and floor plan.
김금지(Kim Keum-Ji),여인애(Yeo In-Ae),윤성환(Yoon Seong-Hwan) 대한건축학회 2011 대한건축학회논문집 Vol.27 No.6
The purpose of this study was to draw optimal cases of the Urban Greening Type helping to mitigate the Urban Thermal Environment in Summer. 960 cases were simulated from combinations with various building sizes (Building Coverage Ratio: 10, 20, 30%, Building Stories: 1~20F) and the type of Planting (Roof, Wall, Land: 0, 20, 40, 60, 80, 100%) with the Urban Climate Simulation System. The results of this studying are as follows. 1) It showed that the case of Land Planting carried has the lower temperature than Roof and Wall Planting about -3℃ in daily minimum temperature and -2℃ in daily maximum temperature 2) Tree Evaporation from Land Planting has a great influence on temperature decrease in Urban Thermal Environment 3) As a result of the Average Temperature in day and night time, Land Planting has the lower temperature than Roof and Wall Planting, which implies that it can be a effective method to mitigate the Urban Tropical Night Phenomenon in Summer. In this study, it appears that the Land Planting can be the most effective method to help the mitigation of the Urban Thermal Environment in Summer and it is identified that the combination of Building Size and Planting can change climate and Heat Load from Building in the Urban Area.
김금지(Kim, Keum-Ji),김지윤(Kim, Ji-Yoon),윤성환(Yoon, Seong-Hwan) 대한건축학회 2016 대한건축학회논문집 Vol.32 No.5
The purpose of this study was to prepare baseline data when the government and local government establish building plans for preventing damage with Natural Disaster. so this study draw vulnerability of building in representative area. The characteristics of building damage caused Natural disaster when occurred between 2005 and 2014 at 232 regions in South Korea are analysed by through cities and countries. And with Cluster analysis thorough factor and reliability analysis, it is selected representative regions based on the characteristics of building damage caused Natural disaster. It is analysed with 34 regions which ClusterⅠis represented from damage with Rainfall, ClusterⅡ is Rainfall-Gale, ClusterⅢ is Snowfall, ClusterⅣ is Gale, ClusterⅤ is represented by high amount of building damage. As a result of analysis of Cluster Characteristics, it will established the method of building preventing disaster with regional characteristics.
김금지(Kim Keum ji),윤성환(Yoon Seong hwan) 한국방재학회 2017 한국방재학회논문집 Vol.17 No.5
본 연구는 지역별 기상현황이 재해 발생에 미치는 영향을 평가하기 위하여 인공신경망을 활용한 자연재난 피해액 예측모델을 구축하였다. 입력변수로 사용된 기상현황은 전국 230개 시군구 단위로 산출된 강수, 풍속, 적설 자료로서 2005~2014년 기간에 발생한 자연재난 피해액 현황과의 유효 변수를 선정하고 이를 활용하여 인공신경망 모형을 구축하였다. 또한 자연재난 피해액 예측모델로서의 인공신경망 모형의 예측 정확도를 검증하기 위하여 풍수해 위험도 평가에 활용되는 다중회귀 모형과의 MSE 비교를 실시하여 두 모형의 정확도를 비교·검토하고 인공신경망의 예측력을 검증하였다. In order to evaluate the effect of meteorological factors on the occurrence of disaster, we constructed a prediction model of natural disaster damage using Artificial Neural Network. The meteorological factors used as the input variables are constructed in 230 cities. In order to verify the prediction accuracy of the ANN Model, we compared the accuracy of the Multiple regression model and ANN Model by comparing MSE. As a result, the accuracy of ANN model of natural disaster damage is verified.
김금지(Kim Keum-Ji),여인애(Yeo In-Ae),윤성환(Yoon Seong Hwan) 한국건축친환경설비학회 2011 한국건축친환경설비학회 학술발표대회 논문집 Vol.2011 No.3
This study analysis the possilities of Extreme Heat and Tropical Night in Seoul, Daegu and Susan in August with Automatic Weather System from 2000 to 2008year, then evaluate thermal comfort. It shows that the range of thermal comfort is different according to district or the occurrence of the Extreme Heat and Tropical Night. In case of Daegu, It shows a more higher level of HI than Seoul and Busan. and In case of Busan, the range of DI also has a [high] level of Discomfort Index under no-extreme heat condition due to a high Relative Humidity in Busan.
북한 자연재난 위험도 평가를 위한 건축물 재해 인자 검토
김금지(Kim, Keum-Ji) 대한건축학회 2019 대한건축학회 학술발표대회 논문집 Vol.39 No.2
The purpose of this study was to establish a list of disaster factors used for risk assessment through the review and collection of disaster impact factors as the first step for natural disaster risk assessment in North Korea. The selection of the impact factors for disasters is carried out by reviewing the factors used in previous studies, the possibility of data generation by 188 regions in North Korea, and finally the possibility of continuous data collection in the future. As the result of reviews, 17 disaster impact factors were selected. Based on the data on the 17 disaster impact factors established through this study, we will assess natural disaster risk in North Korea in the future and derive disaster risk index by 188 regions and buildings in North Korea.
건물녹화도입부위에 따른 도시 열수지 변화에 관한 정량적 검토
김금지(Kim Keum-Ji),여인애(Yeo In-Ae),윤성환(Yoon Seong-Hwan) 대한건축학회 2011 대한건축학회논문집 Vol.27 No.9
The purpose of this study was to analyze the housing mobility behavior according to the income change and to predict the probability of upward and downward movements. A binary logit model was used with the data which were obtained by the Korea Research Institute for Human Settlements in 1989. The sample size was 1620 households in Seoul. The results of this study were as follows; the upward movement probability in rental housing or in single housing was higher than that in owned housing or in apartment housing as household income increased. The purpose of this study was to analyze the housing mobility behavior according to the income change and to predict the probability of upward and downward movements. A binary logit model was used with the data which were obtained by the Korea Research Institute for Human Settlements in 1989. The sample size was 1620 households in Seoul. The results of this study were as follows; the upward movement probability in rental housing or in single housing was higher than that in owned housing or in apartment housing as household income increased. The sample size was 1620 households in Seoul. The results of this study were as follows; the upward movement probability in rental housing or in single housing was higher than that in owned housing or in apartment housing as household income increased.