In this study, the characteristics of heat wave damage in urban and rural areas in 2018 were analyzed and a heat wave risk map was prepared through spatial analysis. The study areas were Gurye-gun and Sunchang-gun in rural areas, and Dobong-gu and Seo...
In this study, the characteristics of heat wave damage in urban and rural areas in 2018 were analyzed and a heat wave risk map was prepared through spatial analysis. The study areas were Gurye-gun and Sunchang-gun in rural areas, and Dobong-gu and Seodawmun-gu in Seoul urban areas. Heat wave vulnerability factors were constructed at the census output area level. Shadow pattern, sky view factor (SVF), and mean radiant temperature distribution were calculated using high-resolution geographic information data. On the heat wave risk map, the difference in the control group area was clearly shown, and heat wave vulnerability factors with high spatial correlation were also different. The occurrence pattern of patients with heat-related illness was analyzed by region. The number of patients with thermal diseases in Data from the Korea Disease Control and Prevention Agency (KDCA) and Prevention and the National Health Insurance Service (NHIS) showed a big difference in the same study area. Detailed analysis of heat wave vulnerability in urban and rural study areas revealed varied spatial correlation of vulnerability factors, and accordingly, differences in heat wave risk. Detailed heat wave vulnerability analysis using census output units calculated through this study can inform local government policies for detailed heat wave management suitable for local conditions in rural and urban areas.