Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data

摘要: This study aimed to assess the heat-related risk (excess mortality rate) at six cities, namely, Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan, in South Korea using daily maximum perceived temperature (PTmax), which is a physiology-based thermal comfort index, wet-bulb globe temperature, meteorology-based air temperature. Particularly, applicability of PTmax was evaluated excess rate modeling. An event-based assessment model employed for modeling rate. The performances models those variables were two data sets that used (training data, 2000-2016) not (test 2017-2018) construction models. Additionally, separately modeled depending on regions ages. good indicator can be Korea. application total yields best test set, particularly young people. From forecasting perspective, most appropriate assessing