行人微气候舒适度:街道风和行人热感觉的快速预测模型

IF 0.8 Q4 MATERIALS SCIENCE, BIOMATERIALS
Jing Li, MengNan Qi, Qiuhua Duan, Lei Huo, Julian Wang
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引用次数: 0

摘要

由于城市化的快速发展和城市人口的增加,城市建筑环境发生了重大变化。这种改变可能产生与环境有关的问题,如城市热应激、空气污染和交通噪音。本研究通过实地调研,收集了城市设计参数、微环境因子、城市气候信息等数据。这项工作在北京高密度城区的三条步行街进行了为期两年的研究。选择这些区域是为了研究特定几何布局下的城市街道峡谷纹理、风流道和气温变化对行人微气候舒适度的影响。研究结果将为城市规划者的工作提供便利,为他们通过设计改善室外热舒适提供信息。共60个[公式:见文]485个样本被组织成训练集、验证集和测试集。我们证实了我们的假设,即内部风速([公式:见文])主要归因于城市肌理系数([公式:见文])、气温([公式:见文])和引入风速([公式:见文])。利用现场采集的测试数据对模型进行了测试,得到了非常准确的拟合优度;模型的r平方值为0.82,这意味着[公式:见文本]作为因变量与三个预测因子作为自变量的相关性为82%。有了这个计算机模拟,城市规划者现在可以预测和可视化变化对建筑环境的影响,无论是接收太阳辐射的方向还是风速的增加,以换取社区居民所需的热舒适水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Pedestrian Microclimatic Comfort: A Rapid Predication Model for Street Winds and Pedestrian Thermal Sensation
Significant changes in the urban built environment have occurred due to rapid urbanization and increases in the urban population. Such alterations may produce environmental health-related issues such as urban heat stress, air pollution and traffic noise. This research undertook a field study to collect data including urban design parameters, micro-environmental factors and city climatic information. This work was conducted over a two-year period on three pedestrian streets located in high-density urban areas in Beijing. These areas were selected in order to study the influences of urban street canyon texture within a particular geometric layout, wind flow corridors and variations in air temperature on pedestrian microclimatic comfort. The results will facilitate the work of urban planners by providing them with information for use in improving outdoor thermal comfort through their designs. A total of 60[Formula: see text]485 samples were organized into training, validation and test sets. We confirmed our hypothesis that internal wind speed ([Formula: see text] is attributable mainly to the urban texture coefficient ([Formula: see text], air temperature ([Formula: see text] and leading-in wind speed ([Formula: see text]. The model was tested using the test data collected onsite, which demonstrated a very accurate goodness-of-fit; the model achieved an R-squared value of 0.82, which meant that [Formula: see text] as a dependent variable was 82% correlated to the three predictors as independent variables. With this computer simulation, urban planners can now predict and visualize the impact of changes on the built environment in terms of either the direction of solar radiation received or increases in wind speed, in return for the desired thermal comfort level for residents of the neighborhood.
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来源期刊
Nano Life
Nano Life MATERIALS SCIENCE, BIOMATERIALS-
CiteScore
0.70
自引率
12.50%
发文量
14
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