Comparative analysis of sensation variables and thermal indices in an urban microclimate
정주희* ･ 오병철**†
Jeong, JuHee* and Oh, ByoungChull**†
As climate change intensifies, the intensity of heatwaves and their threats to human health are correspondingly increasing. Issuing heatwave warnings is considered a basic measure in mitigating harm. This study focused on the fact that, to enhance the effectiveness of these warnings, the cognitive perspective of heatwaves and the standards for special warnings must be similar. A total of 180 samples were analyzed, taking into account variables such as Thermal Sensational Vote (TSV), Thermal Comfort Vote (TCV), Apparent Temperature (AT), and Heat Intensity (HIn), which are items based on an individual's cognitive perspective. The survey was analyzed in two phases. Simple regression analysis revealed significant associations among three variables (TSV, AT, and HIn) when temperature (T) and relative humidity (RH) were employed as sole independent variables. However, multiple regression analysis identified only T as a significant variable. In the case of TCV, T was significant in simple regression analysis, but RH was not. In multiple regression analysis, however, both T and RH were found to be significant. These findings underscore the importance of aligning public perception, as captured by sensation variables, with the scientific metrics describing thermal indices. This alignment is pivotal to ensuring that heatwave warnings effectively safeguard communities by being both scientifically accurate and intuitively comprehensible. This research is expected to serve as a foundation for future studies aimed at refining heatwave warning systems.
1405_05.pdf
