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Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai

机译:绿地图案在滨水建设块中的冷却效应的比较研究:上海的体验

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摘要

Different structural patterns of waterfront green space networks in built-up areas have different synergistic cooling characteristics in cities. This study’s aim is to determine what kinds of spatial structures and morphologies of waterfront green spaces offer a good cooling effect, combined with three different typical patterns in Shanghai. A multidimensional spatial influence variable system based on the cooling effect was constructed to describe the spatial structural and morphological factors of the green space network. The ENVI-met 4.3 software, developed by Michael Bruse at Bochum, German, was used to simulate the microclimate distribution data, combined with the boosted regression tree (BRT) model and the correlation analysis method. The results showed that at the network level, the distance from the water body and the connectivity of green space had a stronger cooling correlation. The orientation of green corridors consistent with a summer monsoon had larger cooling effect ranges. In terms of spatial morphology, the vegetation sky view factor (SVF) and Vegetation Surface Albedo (VSAlbedo) had an important correlation with air temperature (T), and the green corridor with a 20–25 m width had the largest marginal effect on cooling. These results will provide useful guidance for urban climate adaptive planning and design.
机译:建筑区域中的滨水绿地空间网络的不同结构模式在城市具有不同的协同冷却特性。本研究的目的是确定滨水绿地的空间结构和形态,提供了良好的冷却效果,结合上海三种不同的典型模式。构建基于冷却效果的多维空间影响变量系统以描述绿地空间网络的空间结构和形态因素。由Bochum,德国Bochum的Michael Bruse开发的Envi-Met 4.3软件用于模拟微气候分布数据,结合升压回归树(BRT)模型和相关分析方法。结果表明,在网络水平,距离水体的距离和绿地空间的连接具有更强的冷却相关性。与夏季季风一致的绿色走廊的定向具有更大的冷却效果范围。在空间形态方面,植被天空视图因子(SVF)和植被表面Albedo(Vsalbedo)与空气温度(T)具有重要的相关性,而20-25米宽的绿色走廊对冷却具有最大的边际效果。这些结果将为城市气候适应性规划和设计提供有用的指导。

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