RCP시나리오를 활용한 도시온열환경 분석 및 예측

The purpose of this study is to examine the relationship between urban, buildings, weather conditions and the thermal environment. We evaluated the thermal environment risk of urban due to future climate change and build quantitative data considering the thermal environment during the construction and urban planning. A total of 14 data sets were constructed to evaluate the thermal environment. Multiple regression analysis with heat index and discomfort index indicating the warm environment of city and decision tree method were used. Also, the main influencing factors were selected and the importance of the influencing factors wes derived. As a result, the influencing factors affecting the HI were variables bd, riv, forest, parking, ht, wsmx and tmax33. Influencing factors of the DI were variables bd, riv, forest, wsmx and tmax33. In addition, the variable having the greatest influence on the classification of the heat index was wsmx in the case of the HI and ht in the case of the DI. Finally, the decrease of the hazard index of the HI was confirmed by the change of the ratio of the variables bd, riv, forest and wsmx in the future period.