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高密度中心区域形态空间集聚及其与热环境的耦合关系——以长沙五一路后备箱为例。

Morphological spatial clustering of high-density central areas and their coupling relationship with thermal environment--a case study of the wuyi road hatchback in changsha.

机构信息

School of Landscape Architecture, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.

School of Architecture, Tianjin Chengjian University, Tianjin, 300384, Tianjin, China.

出版信息

Int J Biometeorol. 2024 Aug;68(8):1483-1496. doi: 10.1007/s00484-024-02687-5. Epub 2024 May 2.

Abstract

Intense urban development and high urban density cause the thermal environment in urban centers to deteriorate continuously, affecting the quality of the living environment. In this study, 707.49 hectares of land in the central area of Changsha were divided into 121 plots. 11 microclimate-related morphological indicators were comprehensively selected, and the K-means method was used for cluster analysis. Then, the relationship between morphological clusters and the thermal environment was explored by simulating the thermal environment of the study area with ENVI-met. First, five spatial types were found to characterize the area: high-level with high floor area ratio, low density, and low greenery; middle-level with high floor area ratio high density; medium-capacity with high density and small volume; low-level with low density and high greenery; and low floor area ratio, low density, and high greenery. Second, the building windward surface density, sky openness, building density, floor area ratio and green space rate affect the thermal environment. Third, Cluster3 had the highest average air temperature (Ta), followed by Cluster5, furthermore Clusters4, 1, and2 had relatively low Ta. The spatial vitality index and green space rate in Cluster1; the area-weighted building shape index, average building volume and sky openness in Cluster2; green space rate in Cluster3; indicators such as the floor area ratio and green space rate in Cluster4; indicators such as the impervious surface rate and green space rate in Cluster5 had greater influences on Ta. Fourthly, simply increasing the area of green space cannot maximize the cooling effect of green spaces. Instead, constructing an equalized greening network can better regulate the thermal environment. Fifthly, the results provide a scientific basis for the design and the regulation of urban centers.

摘要

高强度的城市发展和高密度的城市建设导致城市中心区的热环境不断恶化,影响了城市的生活环境质量。本研究以长沙市中心区 707.49 公顷的土地为研究对象,将其划分为 121 个地块。综合选取 11 个与微气候相关的形态指标,采用 K-均值聚类分析法对其进行聚类分析,然后运用 ENVI-met 模拟研究区的热环境,探讨形态聚类与热环境之间的关系。首先,发现该区域有 5 种空间类型:高水平具有高容积率、低密度和低绿地率;中高水平具有高容积率和高密度;中容量具有高密度和小容积;低水平具有低密度和高绿地率;低容积率、低密度和高绿地率。其次,建筑迎风面密度、天空开阔度、建筑密度、容积率和绿地率会影响热环境。第三,Cluster3 的平均气温(Ta)最高,其次是 Cluster5,而 Cluster4、1 和 2 的 Ta 相对较低。Cluster1 的空间活力指数和绿地率;Cluster2 的加权平均建筑形状指数、平均建筑体积和天空开阔度;Cluster3 的绿地率;Cluster4 的容积率和绿地率;Cluster5 的不透水表面率和绿地率等指标对 Ta 的影响较大。第四,单纯增加绿地面积并不能最大化绿地的降温效果,而构建均衡的绿化网络可以更好地调节热环境。第五,研究结果为城市中心区的设计和调控提供了科学依据。

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