• Proceedings of the Korea Water Resources Association Conference
• /
• 2010.05a
• /
• pp.739-743
• /
• 2010

본 연구에서는 확산파 기반의 2차원 침수해석 모형을 이용하여 울산광역시 태화강 유역에 대하여 침수시 건물 안으로의 흐름은 없다는 가정 하에서 건물로 인한 흐름의 양상, 침수심, 침수위등을 분석하였다. 지형자료는 최근 대도시를 중심으로 구축되고 있는 1m 간격으로 수집된 LiDAR 자료를 바탕으로 10m간격의 정형격자를 통하여 지형자료를 생성하였으며, 수치지도로부터 추출된 건물을 ArcView 등의 GIS Tool을 활용하여 LiDAR 자료와 합성하여 2차원 침수해석에 적용되는 지형자료를 구성하였다. 200년 빈도의 확률강우에 대한 유출해석 결과를 이용하여 FLDWAV 모형을 적용한 태화강에 대한 1차원 하천해석을 실시하였고, 제방파제에 대한 가상의 시나리오를 생성하여 파제에 따른 외수범람에 대한 2차원 침수해석을 실시하였으며, 침수해석 결과를 각 시간별로 가시화함으로써 효율적이며 정확한 침수해석 방법을 제안하고자 하였다. 침수해석 결과에 대한 분석을 통하여 침수면적에 따른 적합도가 건물의 영향을 고려한 경우와 그렇지 않은 경우를 비교한 결과 90%이하로 떨어지는 것을 확인하였고, 침수심과 침수위에 대한 분석을 통하여 침수심은 건물 영향 고려시 낮게 산정되나 침수위로 고려시 높은 수위 값을 나타내는 것을 확인하였다.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.8 no.5
• /
• pp.155-161
• /
• 2008

The flood damage shows different types in natural river watershed and in urban drainage watershed. In recent, increasing of the impervious area gives rise to short concentration time and high peak discharge comparing with natural watershed and it is a cause of urban flood damage. In this paper, we use a XP-SWMM model developed based on EPA-SWMM version for analyzing the inundation area, inundation depth and inundation area considering building effect. The two events(2005.06, 2005.07) has been used for the validation of model. HEC-RAS model has been applied for simulation of changing water level, and the results has been used for calculating area of the inundation. The observed inundation area(21.41 ha) in August, 1998 was in good agreement with the simulated value(23.45 ha) of XPSWMM model. An influence of inundation area considering building effects has been analized by the DTM of XP-SWMM model.

• Proceedings of the Korean Society for Bio-Environment Control Conference
• /
• 1998.10a
• /
• pp.142-145
• /
• 1998

근권용량을 2, 4, 6, 8 및 10$\ell$로 제한하여 펄라이트를 채워 오이를 재배한 결과 근권용적이 증가할수록 초장, 경경, 엽수 및 엽면적이 증가하였고, 과실수와 과실중량에서는 근권용적이 큰 8$\ell$와 10$\ell$의 처리구에서 가장 양호하였으며 기형과 발생률도 낮은 경향이었다. 근권용적 6$\ell$를 기준으로 미만의 처리구에 비해 이상의 처리구에서 경으로의 건물분배가 줄어들고 엽으로의 건물분배가 많은 것을 볼 수 있었다.

• Journal of The Korean Society of Grassland and Forage Science
• /
• v.29 no.4
• /
• pp.383-388
• /
• 2009

This study was conducted to investigate the dry matter intake, weight gain and the required area of grazing pasture for dairy goats. The experimental trials were conducted from April, 2007 to June, 2008 at the animal experimental station in Chungnam National University. The seed mixtures of grazing pasture were composed of orchardgrass (40%) + tall fescue (20%) + perennial ryegrass (10%) + alfalfa (15%) + red clover (15%). The grazing area was $5,000\;m^2$ which was composed of 4 paddocks (average $1,250\;m^2$/plot) and the goats were grazed twelve times by a rotational grazing system. The dairy goats (Saanen) were selected which had nearly the same body weight (average 31.1kg). The average chemical composition of herbage of mixture in grazing periods was crude protein (20.4%), NDF (65.3%) and ADF (31.1%) respectively and the in vitro dry matter digestibility was 68.9%. The average dry matter intake amount per head was 1.253 kg, and the intake amount per body weight was 3.01%. The average body weight gain during the grazing periods (184 days) was 17.4 kg, and the daily gain was 98 g. The required area of grazing pasture was calculated at $467.7\;m^2$ a dairy goat (weight 50 kg basis). This figure, being converted into animal unit (AU), corresponded to approximately 2.14 AU/ha.

• Journal of Bio-Environment Control
• /
• v.25 no.3
• /
• pp.146-152
• /
• 2016

Due to complicate canopy structures of Irwin mangoes grown in greenhouses, it is difficult to determine their growth parameters accurately. Leaf area, leaf fresh weight, and leaf dry weight are widely used as indicators to diagnose the tree growth. Therefore, it is necessary to establish models that can non-destructively estimate these growth indicators. The objective of this study was to establish regression models to estimate leaf area, leaf fresh weight, and leaf dry weight of Irwin mangoes (Mangifera indica L. cv. Irwin) by using leaf length, leaf width, petiole length, and SPAD value. The input values of leaf length, leaf width, petiole length, and SPAD value of 6-year old Irwin mangoes were measured, and the corresponding output values of leaf area, leaf fresh weight, and leaf dry weight were also measured. After 14 models were selected among the existing models, coefficients of the models were estimated by regression analysis. Three models with higher $R^2$ and lower RMSE values selected. In validation the $R^2$ values for the selected models were 0.967, 0.743, and 0.567 in the leaf area, leaf fresh weight, and leaf dry weight models, respectively. It is concluded that this models will be helpful to conveniently diagnose the growth of the Irwin mango.

• Journal of Bio-Environment Control
• /
• v.32 no.1
• /
• pp.34-39
• /
• 2023

Growth modeling in plant factories can not only control stable production and yield, but also control environmental conditions by considering the relationship between environmental factors and plant growth rate. In this study, using the expolinear function, we modeled perilla [Perilla frutescens (L.) Britt.] cultivated in a plant factory. Perilla growth was investigated 12 times until flower bud differentiation occurred after planting under light intensity, photoperiod, and the ratio of mixed light conditions of 130 μmol·m^-2·s^-1, 12/12 h, red:green:blue (7:1:2), respectively. Additionally, modeling was performed to predict dry and fresh weights using the expolinear function. Fresh and dry weights were strongly positively correlated (r = 0.996). Except for dry weight, fresh weight showed a high positive correlation with leaf area, followed by plant height, number of leaves, number of nodes, leaf length, and leaf width. When the number of days after transplanting, leaf area, and plant height were used as independent variables for growth prediction, leaf area was found to be an appropriate independent variable for growth prediction. However, additional destructive or non-destructive methods for predicting growth should be considered. In this study, we created a growth model formula to predict perilla growth in plant factories.

• 방재와보험
• /
• s.131
• /
• pp.52-53
• /
• 2009

이번 탐방은 천년고도(古都) 경북 경주시에 위치한 자동차부품 생산공장일 발레오전장시스템스코리(주)를 방문하였다. 승용차와 상용차로 구분된 공장을 대지면적 $101,606m^2$, 건물 연면적 $65,038m^2$규모에 자동차용 발전기, 시동모터, 디스트리뷰터 등을 생산하고 있다. 지난 1999년 프랑스의 세계적인 자동차 전장시스템회사인 발레오에 합병된 이후 현대, 기아, GM대우, 르노 삼성, 쌍용 등에 각종 자동차 전장시스템을 납품하고 있다.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.37 no.3
• /
• pp.54-60
• /
• 2009

The purpose of this study is to analyze the impacts of three-dimensional land cover on changing urban air temperatures and to explore some strategies of urban landscaping towards mitigation of heat build-up. This study located study spaces within a diameter of 300m around 24 Automatic Weather Stations(AWS) in Seoul, and collected data of diverse variables which could affect summer energy budgets and air temperatures. The study also selected reflecting study objectives 6 smaller-scale spaces with a diameter of 30m in Chuncheon, and measured summer air temperatures and three-dimensional land cover to compare their relationships with results from Seoul's AWS. Linear regression models derived from data of Seoul's AWS revealed that vegetation volume, greenspace area, building volume, building area, population density, and pavement area contributed to a statistically significant change in summer air temperatures. Of these variables, vegetation and building volume indicated the highest accountability for total variability of changes in the air temperatures. Multiple regression models derived from combinations of the significant variables also showed that both vegetation and building volume generated a model with the best fitness. Based on this multiple regression model, a 10% increase of vegetation volume decreased the air temperatures by approximately 0.14%, while a 10% increase of building volume raised them by 0.26%. Relationships between Chuncheon's summer air temperatures and land cover distribution for the smaller-scale spaces also disclosed that the air temperatures were negatively correlated to vegetation volume and greenspace area, while they were positively correlated to hardscape area. Similarly to the case of Seoul's AWS, the air temperatures for the smaller-scale spaces decreased by 0.32% ($0.08^{\circ}C$) as vegetation volume increased by 10%, based on the most appropriate linear model. Thus, urban landscaping for the reduction of summer air temperatures requires strategies to improve vegetation volume and simultaneously to decrease building volume. For Seoul's AWS, the impact of building volume on changing the air temperatures was about 2 times greater than that of vegetation volume. Wall and rooftop greening for shading and evapotranspiration is suggested to control atmospheric heating by three-dimensional building surfaces, enlarging vegetation volume through multilayered plantings on soil surfaces.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.396-396
• /
• 2023

기후 위기에 대한 대응으로 현재 많은 국가에서 2050년 탄소중립을 목표로 하고 있으며, 우리나라도 2050년까지 탄소중립을 선언하고 다양한 부문의 배출 절감 계획을 내세웠다. 현재 건물 부문에서는 2050년의 목표배출량을 6.2 백만톤 CO2eq으로 설정하고 관련 정책적 수단을 검토 중이지만 달성 방안 등에 대해서는 구체적으로 제시하지 못하고 있다. 본 연구에서는 국내 건물 부문의 이산화탄소의 배출량 산정 모델을 개발하여, 2050년까지 이산화탄소 배출 저감 시나리오를 시뮬레이션하였다. 이를 토대로 국내의 건물 부문 탄소중립 가능성을 검토한 통합 시나리오를 제시하고, 향후 정책 및 기술 개발의 방향성을 제시한다. 탄소배출량 산정모델은 연면적 예측 및 사용 에너지의 원단위 환산, 탄소배출계수 등을 고려해 개발하였고, 이를 활용하여 4가지 탄소배출 시나리오를 분석하였다. 먼저 현재 정책 기반 탄소 배출 시나리오는 탄소중립에 이르지 못하여 더 강화된 시나리오의 필요성을 보여준다. 신규 건물을 대상으로 한 제로 에너지화 제도 기반 시나리오는 전체 탄소배출량에 큰 기여를 하지 못하며, 기존 건물 대상의 그린 리모델링 제도 기반 시나리오에서는 10년 이상 건물에 50% 이상의 높은 에너지 효율 개선을 시행해야 한다는 결과를 도출하였다. 또한 전기화 시나리오에서는 화석연료와 전력의 탄소배출계수를 비교하여 적절한 에너지 전환 시점을 계산하였다. 그 결과, 건물 부문에서 2050년까지 탄소배출량 감축 목표 달성을 위해 신축 건물의 에너지 자립율 100%, 에너지 전환 계획과 연동한 건물의 전기화, 그리고 그린리모델링을 통한 효율 개선 기준을 47% 이상 달성하는 조건을 만족해야 한다는 결과를 얻었다. 이 연구는 도전적인 온실가스 감축 마련의 필요성을 제시하였으며, 탄소중립 가능성을 제시하여 실질적인 감축정책에 기여할 것으로 기대한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.27 no.1
• /
• pp.735-742
• /
• 2009

National Geographic Institute recently has produced a national paper map by means of a computer aided editing system using a national digital map 2.0. However, the map generalization should be made due to the portrayal difference between the digital map and the paper one and the criterion of the map generalization should be determined by the visual image. The tolerance limit of the map generalization has to be decided based on human vision. For this purpose, this study attempts to measure the size of the building on various scale map and then analyze its result. As a consequence, this study shows us that the building size eligible for human vision should be over 0.4mm in the short side of building on the map. The tolerance limit of an isolated building, a reduced building and a densely built-up area for the map generalization is based on the criterion mentioned above.