@article{ART003055205},
author={Sanghyuck Kim and Minju Song and Seokhwan Yun and Lee, Dong Kun},
title={Analysis of Optimal Index for Heat Morbidity},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2024},
volume={33},
number={1},
pages={9-17}
TY - JOUR
AU - Sanghyuck Kim
AU - Minju Song
AU - Seokhwan Yun
AU - Lee, Dong Kun
TI - Analysis of Optimal Index for Heat Morbidity
JO - Journal of Environmental Impact Assessment
PY - 2024
VL - 33
IS - 1
PB - Korean Society Of Environmental Impact Assessment
SP - 9
EP - 17
SN - 1225-7184
AB - The purpose of this study is to select and predict optimal heatwave indices for describing and predicting heat-related illnesses. Regression analysis was conducted using Heat-related illness surveillance system data for a number of heat-related illnesses and meteorological data from the Korea Meteorological Administration’s Automatic Weather Station (AWS) for the period from 2021 to 2023. Daily average temperature, daily maximum temperature, daily average Wet Bulb Globe Temperature(WBGT), and daily maximum WBGT values were calculated and analyzed. The results indicated that among the four indicators, the daily maximum WBGT showed the highest suitability with an R2 value of 0.81 and RMSE of 0.98, with a threshold of 29.94 Celsius. During the entire analysis period, there were a total of 91 days exceeding this threshold, resulting in 339 cases of heat-related illnesses.
Predictions of heat-related illness cases from 2021 to 2023 using the regression equation for daily maximum WBGT showed an accuracy with less than 10 cases of error annually, demonstrating a high level of precision. Through continuous research and refinement of data and analysis methods, it is anticipated that this approach could contribute to predicting and mitigating the impact of heatwaves.
KW - Extreme heat;climate change;heat morbidity;threshold
DO -
UR -
ER -
Sanghyuck Kim, Minju Song, Seokhwan Yun and Lee, Dong Kun. (2024). Analysis of Optimal Index for Heat Morbidity. Journal of Environmental Impact Assessment, 33(1), 9-17.
Sanghyuck Kim, Minju Song, Seokhwan Yun and Lee, Dong Kun. 2024, "Analysis of Optimal Index for Heat Morbidity", Journal of Environmental Impact Assessment, vol.33, no.1 pp.9-17.
Sanghyuck Kim, Minju Song, Seokhwan Yun, Lee, Dong Kun "Analysis of Optimal Index for Heat Morbidity" Journal of Environmental Impact Assessment 33.1 pp.9-17 (2024) : 9.
Sanghyuck Kim, Minju Song, Seokhwan Yun, Lee, Dong Kun. Analysis of Optimal Index for Heat Morbidity. 2024; 33(1), 9-17.
Sanghyuck Kim, Minju Song, Seokhwan Yun and Lee, Dong Kun. "Analysis of Optimal Index for Heat Morbidity" Journal of Environmental Impact Assessment 33, no.1 (2024) : 9-17.
Sanghyuck Kim; Minju Song; Seokhwan Yun; Lee, Dong Kun. Analysis of Optimal Index for Heat Morbidity. Journal of Environmental Impact Assessment, 33(1), 9-17.
Sanghyuck Kim; Minju Song; Seokhwan Yun; Lee, Dong Kun. Analysis of Optimal Index for Heat Morbidity. Journal of Environmental Impact Assessment. 2024; 33(1) 9-17.
Sanghyuck Kim, Minju Song, Seokhwan Yun, Lee, Dong Kun. Analysis of Optimal Index for Heat Morbidity. 2024; 33(1), 9-17.
Sanghyuck Kim, Minju Song, Seokhwan Yun and Lee, Dong Kun. "Analysis of Optimal Index for Heat Morbidity" Journal of Environmental Impact Assessment 33, no.1 (2024) : 9-17.
