Influence of green biomass composition on the urban thermal environment in hot summer and warm winter regions: The example of Fuzhou residential area.

Abstract

The aim of this study was to investigate the relationship between green biomass composition and thermal environment, as well as their optimal composition pattern. We decomposed total green biomass in a certain spatial range into two categories: trees and shrubs-grasses, with urban residential areas as sampling sites and based on aerial photography and field research data of green biomass and optimized green biomass measurement method. We analyzed the correlation between the green biomass composition indicators (shrub and grass biomass, tree canopy biomass, green biomass, mean tree canopy biomass, number of trees) and ambient temperature and humidity in different spatial ranges. The results showed that the most significant cooling and humidifying effect of different green biomass composition indicators was at 50 m below the building scale. The mean tree canopy biomass and tree canopy biomass were the key factors affecting ambient temperature and humidity, respectively, in different time periods during the day. With an average canopy biomass of about 211 m3 and 62 trees in a 50 m space, the regulation effects of trees on ambient temperature and humidity were closer to the thermal comfort requirements of human body.