Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG

Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG
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3D 城市景观格局对室外热环境的影响:SOLWEIG 建模研究

DOI:
10.1016/j.compenvurbsys.2022.101773
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发表时间:
2022-06
期刊:
Computers, Environment and Urban Systems
影响因子:
--
通讯作者:
Jinsong Ma
Jinsong Ma
中科院分区:
其他
文献类型:
--
作者:
Fanhua Kong;Jiayu Chen;Ariane Middel;Haiwei Yin;Manchun Li;Ting Sun;Ning Zhang;Jing Huang;Hongqing Liu;Kejing Zhou;Jinsong Ma

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随着全球变暖和城市的快速发展,城市变得更加温暖,这对人类的热舒适和健康造成了额外的压力。复杂的三维(3D)城市形态会改变城市的辐射通量和阴影模式,但大多数将城市形态与热暴露联系起来的研究传统上都是研究城市景观的水平、二维组成和配置。基于高精度机载LiDAR数据和IKONOS卫星数据,计算了南京市中心城区的植被地上生物量(AGB)、建筑物体积(VB)、建筑物和植被高度的标准差(HSDB、HSDV)、建筑物归一化紧凑度比(nCR)、天空景观因子(SVF)、地表粗糙度(SR)和阴影模式(SP)等三维城市景观指标。利用UMEP(Urban Multi-scale Environmental Predictor)工具,对典型炎热夏季的逐日逐时平均辐射温度(Tmrt)进行了模拟。通过相关分析和多元回归分析,研究了三维形态指标与Tmrt的关系,并找出了影响热环境的关键因素. Tmrt在空间上和日内变化,与白天的SP密切相关,揭示了太阳能进入对调节热环境的重要性. AGB与白天的Tmrt呈负相关,而SVF、SP和建筑物nCR与白天的Tmrt呈正相关.在夜间,Tmrtis在空间上更加均匀,主要受到城市结构散热能力的影响。研究结果对于从以人为中心的热暴露角度优化城市景观格局具有重要的科学意义和现实意义,并将指导规划和设计策略,以促进热舒适的城市环境。
With global warming and rapid urban growth, cities get warmer, which poses additional stress on human thermal comfort and health. Complex three-dimensional (3D) urban forms change radiation fluxes and shade patterns in cities, but most studies that link urban form to thermal exposure have traditionally investigated the horizontal, two-dimensional composition and configuration of urban landscapes. Supported by high-precision airborne LiDAR data and IKONOS satellite data, this study calculates 3D urban landscape metrics for central Nanjing, China, including vegetation above ground biomass (AGB), building volume (VB), standard deviation of building and vegetation heights (HSDB,HSDV), the building normalized compactness radio (nCR), sky view factor (SVF), surface roughness (SR), and shadow patterns (SP). Diurnal hourly mean radiant temperature (Tmrt) is simulated using the UMEP (Urban Multi-scale Environmental Predictor) tool forced with fixed-point observation data for a typical hot summer day. Correlation and multiple regression analyses are conducted to investigate the relationship between the 3D form metrics andTmrtand to identify key factors that influence the thermal environment.Tmrtvaries spatially and diurnally and is strongly related toSPduring the day, revealing the importance of solar access for modulating the thermal environment.AGBis negatively, but SVF,SP, and buildingnCRare positively correlated with daytimeTmrt. At night,Tmrtis more homogeneous across space and mainly impacted by the urban fabric's ability to lose heat. Open areas cool faster than areas with low SVF and complex urban forms with high buildingnCR.Findings from this study have great scientific and practical significance for optimizing urban landscape patterns from a human-centered heat exposure perspective and will guide planning and design strategies to promote thermally comfortable urban environments.
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