Research on determination of heat wave damage in Korea and direction for management

This study used a causal model to determine the factors that could affect the incidence of heat-related illnesses in heat waves. Through this, the causes of damage caused by heat waves are not simply limited to weather phenomena, but a data-based perspective is provided to understand the overall impact of heat waves on the human body, ecosystem, socio-economic system, etc. and the mechanism for the damage. We would like to provide it. For this purpose, this study selected detailed indicators of the number of heat wave diseases, heat wave meteorological factors, personal factors, environmental factors, disease factors, and social factors targeting 229 local governments, and constructed a database. In addition, factor analysis was performed to reduce the large number of detailed indicators, and a regression model was applied to analyze causal relationships with patients with heat-related illnesses. As a result of applying the regression model, the significance of personal factors, environmental factors, and social factors was shown, and the explanatory power of the model was only 40.1%. It is necessary to discover variables that can increase the explanatory power of the model in the future, but management by local governments is necessary for variables that represent the current explanatory power. The results of this study can be used as a basis for the national and local governments to establish reasonable heat wave damage reduction measures and can also contribute to the development of future institutionalization plans and heat wave damage prediction models.