Abstract
We developed a prediction system of heat disorder using a numerical model to quantitatively predict a risk of heat disorder in urban areas. This model consists of a mesoscale meteorological model, an urban canopy model, and a prediction model of air-conditioning waste heat. We verified a calculation accuracy of the prediction system using a thermal index: WBGT(wet-bulb globe temperature), in the Osaka City. As a result, the system provided the quantitative performance of the WBGT throughout the evaluated entire period both day- and nighttime. Especially, the system with the three models reproduces remarkably better than the only mesoscale meteorological model.