Monday, 13 January 2020: 11:00 AM
104B (Boston Convention and Exhibition Center)
With the rapid development of social economy, the urban heat island effect is gradually intensifying, and the urban environment in which people are living is deteriorating, affecting thermal comfort and urban livability. Quantitative assessment of urban thermal comfort is of great significance in improving urban heat environment and building a livable city. Urban geometry influences radiation balance in urban space, affecting outdoor thermal environment and thermal comfort. Sky view factor (SVF) is an important factor to represent the urban form, which can well express the mutual shielding between features. The scientific quantification of SVF will facilitate the exploration of the corresponding strategy for outdoor thermal environment and thermal comfort. The quantification of spatially distributed SVF is an important basis for effective assessment of urban thermal radiation and the simulation of outdoor thermal comfort. In this paper, based on the high spatial resolution LiDAR data and the urban multi-scale environmental predictor model (UMEP), the continuous SVF of different methods is simulated and validated on Xianlin campus of Nanjing University. The effect of vegetation on SVF is simulated based on the presence or absence of vegetation. Using high-precision SVF simulation results as input data, the Tmrt in the study area is simulated in combination with other required spatial data and meteorological data, and then the thermal comfort is evaluated. Based on the evaluation results, travel routes and planning suggestions are given.
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