广东工业大学 土木与交通工程学院,广东,广州,510006
刘琳(1991–),女,讲师,博士,主要研究方向为城市街区热环境与热舒适时空特性分析及优化,E-mail:liulinhit@163.com
刘丽孺(1971–),女,教授,博士,主要研究方向为建筑节能、室内空气质量及其保障技术、集中空调系统运行能耗检测及分析等,E-mail:liruhongfu2006@126.com
网络首发:2021-09-10,
纸质出版:2021
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刘琳, 黄家豪, 刘丽孺, 高云飞, 金雷. 基于局地气候分区的街区地表形态特征与热湿环境的关联性研究[J]. 广东工业大学学报, 2021, 38(5): 82-89.
Liu Lin, Huang Jia-hao, Liu Li-ru, et al. A LCZ-based Research on the Correlations Between Block-Scale Surface Morphological Characteristics and Thermal-Humid Environment Based on Local Climate Zone[J]. 2021, 38(5): 82-89.
刘琳, 黄家豪, 刘丽孺, 高云飞, 金雷. 基于局地气候分区的街区地表形态特征与热湿环境的关联性研究[J]. 广东工业大学学报, 2021, 38(5): 82-89. DOI: 10.12052/gdutxb.200171.
Liu Lin, Huang Jia-hao, Liu Li-ru, et al. A LCZ-based Research on the Correlations Between Block-Scale Surface Morphological Characteristics and Thermal-Humid Environment Based on Local Climate Zone[J]. 2021, 38(5): 82-89. DOI: 10.12052/gdutxb.200171.
为研究湿热地区街区尺度地表形态特征对城市热湿环境的影响
基于局地气候分区的分类方法
在湿热地区广州市选取了7个典型街区并对其进行地表形态特征的参数化表达; 采用实测与ENVI-met模拟相结合的方法
分析了不同街区地表形态特征条件下的热湿环境参数时空分布特征。结果表明
具有高层密集建筑群的街区内呈现出较低的空气温度
而紧凑低层建筑区呈现出高温低湿的热湿环境
开敞空间的街区内空气温度与相对湿度分布更均衡
空间差异性较小。此外
基于实测数据对ENVI-met软件模拟湿热地区街区热湿环境的结果精度进行了验证
结果表明ENVI-met整体上可以较好地预测湿热地区不同街区内的热湿环境特征
但对于紧凑低层建筑区的模拟精度偏低。
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.
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