School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China.
Ying Yong Sheng Tai Xue Bao. 2023 Sep;34(9):2462-2470. doi: 10.13287/j.1001-9332.202309.022.
Due to woodlands and farmlands being replaced by residential areas in cities, continuous urbanization resulting in frequent urban heat island effects, especially in summer when high temperature seriously threaten health and lives of citizens. Although scientists realized that reasonable residential area morphology could effectively regulate air temperature and improve microclimate, it is lack of air temperature regulation-oriented specifications and requirements on morphology of residential areas. In this study, we used three types of morphological parameters of 15 residential areas in Xuzhou City and air temperature data via field investigation to analyze air temperature regulation caused by residential area morphology. The results showed that key morphological parameters of residential areas were different in morning and afternoon. In morning, independent effects of mean building height, street aspect ratio, and complete aspect ratio contributed 15.4%, 7.3%, and 6.8%, while those of building density, sky view factor, and the ratio of building surface area to floor area were 21.1%, 23.1%, and 6.9% in afternoon, respectively. Threshold values of efficiency of morphological parameters of residential areas were different between morning and afternoon. There were significant correlations between some morphological parameters of residential area. The results could provide data support and methodological reference for residential areas design in Xuzhou and surrounding cities.
由于城市中的林地和农田被住宅区所取代,持续的城市化导致频繁出现城市热岛效应,特别是在夏季高温严重威胁市民健康和生命的情况下。尽管科学家们意识到合理的住宅区形态可以有效调节气温并改善微气候,但缺乏针对住宅区形态的面向气温调节的规范和要求。在本研究中,我们使用了徐州市 15 个住宅区的三种形态参数和通过实地调查获得的气温数据,分析了住宅区形态对气温调节的影响。结果表明,住宅区的关键形态参数在早晚有差异。在早上,平均建筑高度、街道宽高比和完整宽高比的独立影响分别为 15.4%、7.3%和 6.8%,而建筑密度、天空视角因子和建筑面积与建筑面积比的独立影响分别为 21.1%、23.1%和 6.9%。在下午。住宅区形态参数效率的阈值在早晚之间存在差异。住宅区的一些形态参数之间存在显著相关性。研究结果可为徐州市及周边城市的住宅区设计提供数据支持和方法学参考。