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Analysis of Areas Vulnerable to Urban Heat Island Using Hotspot Analysis - A Case Study in Jeonju City, Jeollabuk-do -

핫스팟 분석을 이용한 도시열섬 취약지 특성 분석 - 전주시를 대상으로 -

  • Ko, Young-Joo (Dept. of Landscape Architecture Doctor's Course, Chonbuk National University) ;
  • Cho, Ki-Hwan (Institute of Natural Sciences, Yeungnam University)
  • 고영주 (전북대학교 조경학과) ;
  • 조기환 (영남대학교 환경문제연구소)
  • Received : 2020.07.15
  • Accepted : 2020.10.08
  • Published : 2020.10.31

Abstract

Plans to mitigate overheating in urban areas requires the identification of the characteristics of the thermal environment of the city. The key information is the distribution of higher and lower temperatures (referred to as "hotspot" or "coldspot", respectively) in the city. This study aims to identify the areas within Jeonju City that are suffering from increasing land surface temperatures (LST) and the factors linked to such this phenomenon. To identify the hot and cold spots, Local Moran's I and Getis-Ord Gi* were calculated for the LST based on 2017 images taken using the thermal band of the Landsat 8 satellite. Hotspot analysis revealed that hotspot regions, (the areas with a high concentration of Land Surface Temperature) are located in the old town area and in industrial districts. To figure out the factors linked to the hotspots, a correlation analysis, and a regression analysis taking into account environmental covariates including Normalized Difference Vegetation Index (NDVI) and land cover. The values of NDVI showed that it had the strongest effect on the lowering LSTs. The results of this study are expected to provide directions for urban thermal environment designing and policy development to mitigate the urban heat island effect in the future.

도시열섬 완화를 위한 계획을 세울 때 가장 먼저 해결해야 할 문제는 도시 내 어느 곳이 열 환경에 가장 취약한 곳인지를 파악하는 것이다. 즉, 도시 내 온도가 상대적으로 더 높은 지역과 낮은 지역(핫스팟과 콜드스팟)이 존재하는지 여부를 파악해야 한다. 본 연구는 전주시를 공간적 범위로 도시열섬의 공간적 밀집지역을 도출하고, 밀집요인을 알아보는데 목적이 있다. 먼저 도시열섬이 밀집해서 발생하는 지역을 알아보기 위해 2017년 Landsat 8 위성영상을 활용해 지표면온도(Land Surface Temperature : LST)를 추출한 뒤 국지적 Moran's I 분석과 Getis-Ord Gi* 분석을 통해 핫스팟 분석을 실시하였다. 그 결과, 통계적으로 유의한 밀집지역은 전주시 원도심이라 불리는 중심부와 공업지역으로 나타났다. 또한 높은 LST를 유발하는 요인을 알아보고자 토지피복도 중 시가화·건조지역의 상세분류로 상관분석과 회귀분석을 진행한 결과, 주거지역의 단독주거시설, 공업지역의 공업시설, 상업지역의 상업·업무시설이 LST를 높이는 요인으로, 별도의 항목이 존재하지 않는 녹지율을 대신해 변수로 선정한 NDVI가 LST를 낮추는 요인으로 작용하고 있었다. 본 연구의 결과는 도시열섬 저감 정책이 어느 곳을 중심으로 이루어져야 하는지, 가장 먼저 고려해야 할 요인은 무엇인지를 판단하고자 할 때 근거가 된다는 점에서 의의를 찾을 수 있다.

Keywords

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