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허인혜,권원태 건국대학교 기후연구소 2007 기후연구 Vol.2 No.2
최근 10년(1996~2005년)은 관측 이래 기온이 가장 높은 시기이며 전 세계적으로 다양한 이상 기상이 빈번하게 출현한 시기이다. 지구 온난화와 더불어 우리나라의 기온 변화는 1980년대 이후 최근까지 지속적으로 증가 경향이다. 이로 인하여 명년에 비하여 최근 10년의 열대야를 포함한 극한 고온과 관련된 지수의 증가와 한파, 서리일수 등을 포함한 극한 저온 현상의 감소가 특징적이다. 그러나 10년간 기온 변동 중 겨울철 극한 저온을 포함하는 한파 등은 지역별로 1990년대 말보다 2000년대 초 다소 증가하는 경향으로 겨울철 극한 저온의 불안정한 출현 가능성 고려가 요구된다.
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대구시 열대야 대응 구역 설정을 위한 야간 찬공기 유동성 분석
서보용 ( Bo-yong Seo ),이상범 ( Sang-beom Lee ),권순범 ( Soon-beom Gwon ),차재규 ( Jae-gyu Cha ),정응호 ( Eung-ho Jung ) 한국지리정보학회 2020 한국지리정보학회지 Vol.23 No.3
Heat wave generation in cities is basically affected by global warming, but it is further exacerbated by the impact of artificial heat emission and heat accumulation in the city. In particular, the effects of urban heat waves directly affect the occurrence of tropical nights. Basically, however, the choice of countermeasures against tropical nights is very limited compared to the daytime heat wave response. The purpose of this study was to analyze the characteristics of cold air flow at night as a countermeasure against tropical nights in Daegu Metropolitan City and to suggest its spatial applicability. As a research method, the spatial characteristics (flow velocity, flow rate, flow direction and range) of cold air flow in Daegu were quantitatively analyzed using KLAM_21, a cold air flow analysis program. As a result of the analysis, it was found that cold air generation and flow in the surrounding mountains of Daegu Metropolitan City was very active, but the inflow was limited to the urban area, which has tropical nights. However, it has been shown that the flow of cold air flowing from the surrounding mountains is very active in some urban areas, so it has spatial conditions that are very effective in countering tropical nights. If these spatial conditions are used for the urban planning, it will be very useful to develop countermeasures for tropical nights.
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GIS 및 MODIS 영상을 활용한 행정구역별 도시열섬강도 분석
서경호 ( Kyeong-ho Seo ),박경훈 ( Kyung-hun Park ) 한국지리정보학회 2017 한국지리정보학회지 Vol.20 No.2
This study was conducted to analyze the urban heat island(UHI) intensity of South Korea by using Moderate Resolution Imaging Spectroradiometer(MODIS) satellite imagery. For this purpose, the metropolitan area was spatially divided according to land cover classification into urban and non-urban land. From the analysis of land surface temperature(LST) in South Korea in the summer of 2009 which was calculated from MODIS satellite imagery it was determined that the highest temperature recorded nationwide was 36.0℃, lowest 16.2℃, and that the mean was 24.3℃, with a standard deviation of 2.4℃. In order to analyze UHI by cities and counties, UHI intensity was defined as the difference in average temperature between urban and non-urban land, and was calculated through RST1 and RST2. The RST1 calculation showed scattered distribution in areas of high UHI intensity, whereas the RST2 calculation showed that areas of high UHI intensity were concentrated around major cities. In order to find an effective method for analyzing UHI by cities and counties, analysis was conducted of the correlation between the urbanization ratio, number of tropical heat nights, and number of heat-wave days. Although UHI intensity derived through RST1 showed barely any correlation, that derived through RST2 showed significant correlation. The RST2 method is deemed as a more suitable analytical method for measuring the UHI of urban land in cities and counties across the country. In cities and counties with an urbanization ratio of < 20%, the rate of increase for UHI intensity in proportion to increases in urbanization ratio, was very high; whereas this rate gradually declined when the urbanization ratio was > 20%. With an increase of 1℃ in RST2 UHI intensity, the number of tropical heat nights and heat wave days was predicted to increase by approximately five and 0.5, respectively. These results can be used for reference when predicting the effects of increased urbanization on UHI intensity.
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