ENVI-met Simulation of Green Plant Layouts for Urban Thermal Comfort Optimization

Abstract

Different green plant layouts exert crucial impacts on human thermal comfort. The existing green plant layouts in urban streets have not achieved more ideal results in regulating temperature, humidity, and solar radiation. Therefore, in order to design a more livable urban environment, this study analyzes the green plant layout pattern of Street A in a certain city and explores its impact on regional thermal comfort. The study first designs different green plant layouts. Then, the meteorological factors that contribute to the thermal comfort of the region based on an urban microclimate treatment model are analyzed. The ENVI-met is used to simulate the changes of three meteorological factors, temperature, humidity, and wind speed, under four different green plant layout schemes. The average temperatures of the four simulation schemes were 26.58 ℃, 26.94 ℃, 25.03 ℃, and 27.31 ℃, respectively, verifying the regulating effect of green plants on air temperature. The average daily predicted voting values for the four different simulation schemes were 0.55, 0.71, 0.46, and 0.21, respectively, indicating that shrubs and trees had a significant regulatory effect on human thermal comfort. The RMSE and WMAPE error values of different schemes were all below 4%, which was within a reasonable range, indicating that this modular scheme had high accuracy performance. This indicates that the design scheme can effectively simulate local microclimate changes, providing effective data support for regional climate regulation, improving local thermal comfort, and providing a more comfortable and livable working and living environment.