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이대송,박재승 대한건축학회 2003 대한건축학회논문집 Vol.19 No.4
The purpose of this study is to present the basis of digital architecture that is appearing newly. Lately, digital design that shows receiving rem is hard to explain on the theoretical basis by existent design methodology. The type of digital design does not explain specific form as well. Therefore, the comprehension of digital architecture needs to observe in other way. To explain the basis of digital design, this study analyzed the relation with theoretical background that explains modern art. Based on the analysis, creation of architectural form through digital design has the same methodology with that of modern art that foresee post modern philosophy.
건축에서의 컴퓨터 그래픽의 기초개념 : 컴퓨터 그래픽 - 건축에서의 새로운 재현의 문제, 재현 한계의 극복
이대송,박재승 대한건축학회 2001 대한건축학회 학술발표대회 논문집 - 계획계/구조계 Vol.21 No.2
Computer graphic is a digital representation and this is understood in series of Platonism that accomplish the Western basis. Finally, work by digital could reappear minutely and exactly because express the result by universal and objective number. There are 21th century philosophy and art within effort to reappear various essence. There is no right thing from the beginning. Plural and relative view of the world is catching seat. Representation of various essence is not accepted and did not appear in architecture because of in limit that is physical construction in architecture. However, architecture overcame this limit area by digital reappearance. And effected progressive reappearance as in another thing sacred ground. Computer overcame limit of representation in architecture. At tine same time, architecture in cyber space can be understood by construction that construct pure relation being released from rule that is been subordinate at real.
기류패턴에 따른 광주지역 PM<sub>10</sub> 농도 특성 및 영향 배출원 추정 연구
송형명 ( Hyeong-myeong Song ),이대행 ( Dae-haeng Lee ),이경석 ( Kyoung-seok Lee ),안상수 ( Sang-su An ),이세행 ( Sae-haeng Lee ),양윤철 ( Yoon-cheol Yang ),김선정 ( Sun-jung Kim ),전홍대 ( Hong-daen Juen ),서광엽 ( Gwang-yeob S 한국환경분석학회 2017 환경분석과 독성보건 Vol.20 No.4
The average concentrations of PM<sub>10</sub> in Gwangju decreased from 50 μg/㎥ in 2008 to 45 μg/㎥ in 2010, 41 μg/ ㎥ in 2012 and 2014, and 40 μg/㎥ in 2016. PM<sub>10</sub> concentrations at Oseon-dong and Geonkun-dong were higher than those at other measurement sites. The backward trajectories for the sampling periods (2008-2016) were classified into three groups: (1) air masses related to long-range transport from China to Gwangju via the Yellow Sea (off the west coast of Korea) (clusters 1 and 2), (2) air masses related to local emissions From the Korean peninsula (clusters 3 and 4), and (3) air masses from the south (Cluster 5), The average concentrations of PM<sub>10</sub> were 41.0, 48.1, 37.6, 43.3, and 33.3 for cluster 1,2,3,4, and 5, respectively. Cluster 2 had the highest PM<sub>10</sub> concentration while cluster 5 had the lowest. Air masses fiom Cluster 1 and 2 were 29% and 13%, more frequent, respectively, during the entire period; the higher PM<sub>10</sub> concentrations in these cases were influenced mainly by Beijing, Hebei, Shandong, Jiangsu, and Shanghai in China. This means that long-range transport aerosols contribute significantly to the PM<sub>10</sub> concentration in Gwangju. Cluster 4, which was affected by many sources on the west coast area of Korea, also showed a high PM<sub>10</sub> concentration; the slow floe of the air mass contributed to this. Therefore, the high concentration of PM<sub>10</sub> in Gwangju area is influenced comprehensively by long-range transport, local emissions and the condition of the flow of the air mass.
광주광역시 대기오염측정소 주변 교통량이 대기질에 미치는 영향
이대행,안상수,송형명,박옥현,박강수,서광엽,조영관,김은선,Lee, Dae-Haeng,An, Sang-Su,Song, Hyeong-Myeong,Park, Ok-Hyun,Park, Kang-Soo,Seo, Gwang-Yeob,Cho, Young-Gwan,Kim, Eun-Sun 한국환경보건학회 2014 한국환경보건학회지 Vol.40 No.3
Objectives: Vehicular emissions are one of the main sources of air pollution in urban areas. Correlation analysis was conducted between air pollutants and traffic volume in order to identify causes of air pollution in Gwangju. Methods: Using traffic volumes and air quality monitoring data from 2002 to 2012 from nine stations (seven urban areas, two roadside areas), especially at three sites where traffic volumes were high, the correlation coefficients were obtained between air pollutants as PM-10 (particulate matter), $NO_2$, $SO_2$, CO and $O_3$ at the stations and traffic volumes near the air monitoring stations. Results: Due to traffic volume and distance between the station and the traffic road, concentrations of pollutants at roadside areas were higher than at urban areas, with the exception of $O_3$. The concentration of $O_3$ showed statistically significance with those of other gas materials as $NO_2$, $SO_2$, and CO in winter (p<0.001) and spring (p<0.05). During the period of October 7 to 20, 2012, excluding periods of yellow dust, smog and rainy season, the ratio of $NO/(NO+NO_2)$ showed the highest value 0.57 and 0.40 at Unam and Chipyeong of two roadside stations, followed by 0.35 at Nongseong with vehicular effects. The correlation coefficient between traffic volume and $O_3$, CO, $NO_2$ became higher when the data on mist and haze days were excluded, than when all hourly data were used in that period, at the three sites of Unam, Chipyeong, and Nongseong. Conclusions: Air quality showed a considerable effect from vehicles at roadside areas compared to in urban areas. Air pollutant diminishment strategies need to be aggressively adopted in order to protect atmospheric environment.
기류패턴에 따른 광주지역 PM 10 농도 특성 및 영향 배출원 추정 연구
송형명,이대행,이경석,안상수,이세행,양윤철,김선정,전홍대,서광엽,도우곤,조영관 한국환경분석학회 2017 환경분석과 독성보건 Vol.20 No.4
The average concentrations of PM10 in Gwangju decreased from 50 μg/m3 in 2008 to 45 μg/m3 in 2010, 41 μg/m3 in 2012 and 2014, and 40 μg/m3 in 2016. PM10 concentrations at Oseon-dong and Geonkun-dong were higher than those at other measurement sites. The backward trajectories for the sampling periods (2008-2016) were classified into three groups: (1) air masses related to long-range transport from China to Gwangju via the Yellow Sea (off the west coast of Korea) (clusters 1 and 2), (2) air masses related to local emissions From the Korean peninsula (clusters 3 and 4), and (3) air masses from the south (Cluster 5), The average concentrations of PM10 were 41.0, 48.1, 37.6, 43.3, and 33.3 for cluster 1,2,3,4, and 5, respectively. Cluster 2 had the highest PM10 concentration while cluster 5 had the lowest. Air masses fiom Cluster 1 and 2 were 29% and 13%, more frequent, respectively, during the entire period; the higher PM10 concentrations in these cases were influenced mainly by Beijing, Hebei, Shandong, Jiangsu, and Shanghai in China. This means that long-range transport aerosols contribute significantly to the PM10 concentration in Gwangju. Cluster 4, which was affected by many sources on the west coast area of Korea, also showed a high PM10 concentration; the slow floe of the air mass contributed to this. Therefore, the high concentration of PM10 in Gwangju area is influenced comprehensively by long-range transport, local emissions and the condition of the flow of the air mass.