メソ気象モデルWRFを用いた堺市の人口減少に対応した緑地配置シナリオの気候分析

抄録

This study aimed to understand how different green spaces allocation would moderate higher urban temperatures. Specifically, numerical simulation was performed for understanding air temperature and wind distribution in August 2020, and the Weather Research and Forecasting meso-scale meteorological model was used in Sakai City. Furthermore, we performed climate simulation under three future green spaces allocation scenarios corresponding to population decline. In addition, climate analysis maps were created for each of these scenarios, and a comparison and discussion were conducted on how Sakai City’s green spaces should be arranged to accommodate future population decline. The results showed that conservation of green spaces reduced high temperatures in the city as a whole, but the distribution trends of temperature reduction area differed among the scenarios. These results suggested that while a large area of green spaces was effective in reducing temperatures locally, the green space network can also extend the temperature reduction over a wider area.