| 2018년 여름 집계구 단위의 상세 폭염취약성 원인 분석 - 구례군과 순창군을 대상으로 - | |
| Analysis of the Causes of Heatwave Vulnerability on a Detailed Scale in the Summer of 2018 - Focus on Gurye-gun, Sunchang-gun - | |
| 권혁기* , 최민영** , 이채연***† , 박종철**** | |
| Kwon, Hyuk-Gi* , Choi, Min-Young** , Yi, Chaeyeon***† , Park, Jongchul**** | |
| This study attempted to analyze the characteristics of heatwave damage in Gurye-gun and Sunchang-gun in 2018, at the height of a severe heatwave, and to identify detailed heatwave-vulnerable areas through spatial analysis. Data were assembled in units of aggregation zones for detailed spatial analysis. Shadow patterns, Sky view factor (SVF), and average radiation temperature distributions of 5m resolution were calculated using a solar radiation model for high-resolution thermal environment analysis. Individuals, environments, diseases, and weather factors that can affect heat wave damage were analyzed in units of census, and variables with spatial autocorrelation for Gurye-gun and Sunchang-gun were extracted through the model of Global Moran's I. In the analysis, Gurye-gun and Sunchang-gun showed the greatest difference in correlation between SVF and heatwave duration days calculated based on the characteristics of the high-resolution indicators in this study. Using the extracted variables and the average radiation temperature calculated from the solar radiation model, a map of high risk of heatwaves and high vulnerability was produced. The proportional area with high risk of heatwaves (level 4-5) was 7.2% for Gurye workers and 21.4% for Sunchang-gun, an about three-fold difference. The results of this study can contribute to establishment of local government heatwave response plans and can be reflected in customized response policies tailored to detailed areas, especially depending on vulnerable factors. | |
| Heatwave, Mean Radiant Temperature, Spatial Autocorrelation, Vulnerability Analysis | |
 1206-02.pdf | |
| 2093-5919 | |
| 2586-2782 | |
| 2021-12 |
