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UAV와 ENVI-met을 활용한 공간 유형별 열환경 특성 분석
김성현,박경훈,이수아,송봉근,KIM, Seoung-Hyeon,PARK, Kyung-Hun,LEE, Su-Ah,SONG, Bong-Geun 한국지리정보학회 2022 한국지리정보학회지 Vol.25 No.1
This study classified UAV image-based physical spatial types for parks in urban areas of Changwon City and analyzed thermal comfort characteristics according to physical spatial types by comparing them with ENVI-met thermal comfort results. Physical spatial types were classified into four types according to UAV-based NDVI and SVF characteristics. As a result of ENVI-met thermal comfort, the T<sub>MRT</sub> difference between the tree-dense area and other areas was up to 30℃ or more, and it was 19. 6℃ at 16:00, which was the largest during the afternoon. As a result of analyzing UAV-based physical spatial types and thermal comfort characteristics by time period, it was confirmed that the physical spatial types with high NDVI and high SVF showed a similar to thermal comfort change patterns by time when using UAV, and the physical spatial types with dense trees and artificial structures showed a low correlation to thermal comfort change patterns by time when using UAV. In conclusion, the possibility of identifying the distribution of thermal comfort based on UAV images was confirmed for the spatial type consisting of open and vegetation, and the area adjacent to the trees was found to be more thermally pleasant than the open area. Therefore, in the urban planning stage, it is necessary to create an open space in consideration of natural covering materials such as grass and trees, and when using artificial covering materials, it is judged that spatial planning should be done considering the proximity to trees and buildings. In the future, it is judged that it will be possible to quickly and accurately identify urban climate phenomena and establish urban planning considering thermal comfort through ground LIDAR and In-situ measurement-based UAV image correction.
김경아(Gyeong Ah Kim),송봉근(Bong Geun Song),김성현(Seoung Hyeon Kim),박건웅(Geon Ung Park),문한솔(Han Sol Mun),박경훈(Kyung Hun Park) 대한설비공학회 2019 대한설비공학회 학술발표대회논문집 Vol.2019 No.11
본 연구는 폭염 발생에 따라 증가하는 노후 건물의 냉방에너지를 감소하기 위하여 실제 건물에 쿨루프를 적용하여 레이어별 온도 감소를 계절별로 비교·분석하였다. 건물 실험은 2016년 8월부터 2018년 11월까지 실시되었으며, 조건이 거의 유사한 2개의 건물을 쿨루프 적용 건물과 미적용 건물로 구분하여 옥상표면온도, 천장표면온도, 천장 기온, 방 기온 데이터를 수집하였다. 쿨루프 효과를 계절별로 분석한 결과, 쿨루프 적용 시 모든 레이어의 온도가 감소하는 것을 확인하였다. 그러나 여름보다 겨울에 쿨루프 효과가 크게 나타나 쿨루프 적용을 위하여 사전에 해당지역의 기후, 건물의 물리적 특징(단열, 재질 등)을 고려해야 함을 확인할 수 있었다. 이후 실측 결과를 활용하여 모델링 결과를 보정한 뒤, 실험 건물의 냉방 및 난방 에너지 소비량을 비교·분석 하고자 한다.
김경아(Gyeong Ah Kim),송봉근(Bong Geun Song),김성현(Seoung Hyeon Kim),박건웅(Geon Ung Park),문한솔(Han Sol Mun),박경훈(Kyung Hun Park) 대한설비공학회 2019 대한설비공학회 학술발표대회논문집 Vol.2019 No.11
This study aims to identify the effects of cool roofs by investigating building models located in Changwon that have roofs constructed of various types of materials and colors. The building model roofs were comprised of white, green, and black waterproof paints; white, green, and black asphalt shingles; and rooftop vegetation. The surface temperatures of the building model roofs were measured from May 29-August 14. To identify roof characteristics, the flow of energy from roof surfaces to the ambient air, and the amount of energy accumulated on the roofs, were investigated. Reflectivity, emissivity, weather conditions and net radiant energy were measured during 9:00–15:00 on July 31, 2014. The reflectivity and emissivity of the white waterproof painted roof and the white asphalt shingle roof, the “cool roofs,” were higher than the other roofs, and their surface temperatures and net radiant energy were lower than the other roofs. The surface temperature of the white waterproof painted roof was lower than the green and the black waterproof painted roofs by a maximum of 25℃; the surface temperature of the white asphalt shingle roof was lower than the green and the black asphalt shingle roofs by a maximum of 19℃.
GIS 기반 노인인구 분포지역의 공간적 특성과 폭염의 관계 분석 - 창원시를 대상으로 -
송봉근 ( Bong-geun Song ),박경훈 ( Kyung-hun Park ),김경아 ( Gyeong-ah Kim ),김성현 ( Seoung-hyeon Kim ),박건웅 ( Geon-ung Park ),문한솔 ( Han-sol Mun ) 한국지리정보학회 2020 한국지리정보학회지 Vol.23 No.3
본 연구에서는 경상남도 창원시를 대상으로 노인인구 분포지역의 공간적 특성과 폭염과의 관계를 분석하였다. 이를 위해 통계청의 인구센서스 자료와 환경부 토지피복도, Landsat 8 지표면온도, 기상청의 폭염일수 자료를 활용하였다. 노인인구 분포의 공간적 특성은 토지이용특성을 고려하여 K-mean 군집화 분석을 통해 총 5개 유형으로 분류하였다. 공간유형별 노인인구 특성은 도시화된 유형(cluster-3)에서 노인인구의 수가 많았으나, 농촌지역과 산림지역에 분포하는 유형(cluster-1, cluster-2)에서는 노인인구의 구성 비율이 높은 것으로 나타났다. 지표면온도와 폭염일수 특성에서는 도시지역에서 지표면온도가 가장 높았으나 폭염일수는 농촌지역이 가장 많았다. 노인인구 분포지역의 공간유형에 따른 폭염 특성을 분석한 결과, 농촌지역 면적이 많은 cluster-2가 15.95일로 가장 높았고, 도시화된 유형인 cluster-3은 9.41일로 가장 낮았다. 즉, 도시지역에 거주하는 노인인구보다 농촌지역에 거주하는 노인인구가 폭염에 더욱 노출되어 있으며, 피해가 가중될 것으로 예상된다. 본 연구의 결과는 여름철 폭염 취약지역의 효과적인 관리와 사전 예방을 위한 다양한 정책방안을 마련하는데 기초적인 자료로 활용될 수 있을 것이다. This study analyzed the relationship between spatial characteristics and heat waves in the distribution area of the elderly population in Changwon, Gyeongsangnam-do. For analysis, the Statistics Census data, the Ministry of Environment land cover, Landsat 8 surface temperature, and the Meteorological Agency's heat wave days data were used. The spatial characteristics of the distribution of the elderly population was classified into 5 types through K-mean cluster analysis considering the land use types. The characteristics of the elderly population by spatial type were higher in the urbanized type(cluster-3), but the proportion of the elderly population was higher in the agricultural and forest area types(cluster-1, cluster-2). In the characteristics of the surface temperature and the heat wave days, the surface temperature was the highest in the urban area, but heat wave days were the highest in the rural area. As a result of analyzing the heat wave characteristics according to the spatial type of the distribution area of elderly population, cluster-2 with the largest area in agricultural areas was highest at 15.95 days, and cluster-3 with a large area in urbanized types was the lowest at 9.41 days and 9.18 days. In other words, the elderly population living in rural areas is more exposed to heat waves than the elderly population living in urban areas, and the damage is expected to increase. The results of this study could be used as basic data to prepare various policy measures for effective management and prevention of vulnerable areas in summer.