Journal of Guangdong University of Technology ›› 2021, Vol. 38 ›› Issue (05): 82-89.doi: 10.12052/gdutxb.200171

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A LCZ-based Research on the Correlations Between Block-Scale Surface Morphological Characteristics and Thermal-Humid Environment Based on Local Climate Zone

Liu Lin, Huang Jia-hao, Liu Li-ru, Gao Yun-fei, Jin Lei   

  1. School of Civil Engineering & Transportation, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2020-12-23 Online:2021-09-10 Published:2021-07-13

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Abstract: In order to study the influence of block-scale surface morphological characteristics on the urban thermal and humid environment, seven study typical neighborhoods in Guangzhou are selected based on the classification method of local climate zone and the surface morphological characteristics of them parametrically expressed. And field measurement and ENVI-met simulation are used to analyze the spatial and temporal distribution characteristics of thermal and humid parameters under different block-scale surface morphological characteristics. The results show that the neighborhoods with compact high-rise buildings present lower air temperature, while compact low-rise district presents a high temperature and low humidity thermal and humid environment. Besides, the neighborhoods with open space have more balanced air temperature and relative humidity distribution with less spatial variability. In addition, the accuracy of the results of ENVI-met software simulating the thermal and humid environment in the neighborhoods of hot-humid regions is verified based on the field measured data, and the results show that ENVI-met can predict the characteristics of thermal and humid environment in different neighborhoods of hot-humid regions better overall, but the simulation accuracy for compact low-rise districts is low.

Key words: thermal and humid environment, urban neighborhood, local climate zone, surface morphological characteristics, field measurement

CLC Number: 

  • TU986
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[1] Pan Xin-pei, Liu Li-ru, Liu Lin. An LCZ-based Spatial Pattern Characteristic Analysis of Typical Urban Local Areas in Hot-humid Regions [J]. Journal of Guangdong University of Technology, 2021, 38(02): 107-114.
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