Identifying the effect of architecture morphology on wind fields and PM2.5 dispersion at the urban block scale via a combined scheme

IF 6 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES
Bin Guo , Lu Li , Xiaowei Zhu , Zheng Wang , Miaoyi Chen , Lin Pei , Tengyue Guo
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引用次数: 0

Abstract

This study explores the potential of architecture morphology to mitigate PM2.5 pollution through enhanced urban ventilation. Despite the recognized influence of building designs on wind and air pollution distribution at the urban block scale, specific mechanisms remain poorly understood. To address this gap, we have developed an integrative approach combining in-situ observations, Geographic Information System (GIS), Remote Sensing (RS), Computational Fluid Dynamics (CFD), and statistical modeling. Here, CFD simulates the flow field and PM2.5 dispersion, using in-situ observations for turbulence model selection. GIS quantify architecture morphology parameters to establish accurate CFD boundary conditions, ensuring simulations reflect real-world conditions and precise architectural impacts on air quality. In addition, statistical models and controlled experiments are adopted to detect the influence of architecture morphology on wind fields and PM2.5 dispersion. Our findings reveal that increased Floor Area Ratio (FAR) tends to create stagnant wind areas behind structures, reducing air circulation and trapping pollutants. Higher Building Density (BD) correlates with expanded zones of low wind speed, which further contributes to PM2.5 accumulation. In contrast, promoting open spaces and reducing architectural density can significantly enhance ventilation at the block level, facilitating pollutant dispersal. This research not only underscores the importance of architectural planning in pollution control but also offers practical guidelines for urban design aimed at fostering sustainable cities and communities.

Abstract Image

通过组合方案确定建筑形态对城市街区尺度风场和PM2.5扩散的影响
本研究探讨了建筑形态通过增强城市通风来缓解PM2.5污染的潜力。尽管人们已经认识到建筑设计对城市街区尺度上风和空气污染分布的影响,但具体的机制仍然知之甚少。为了解决这一差距,我们开发了一种结合原位观测、地理信息系统(GIS)、遥感(RS)、计算流体动力学(CFD)和统计建模的综合方法。在这里,CFD模拟了流场和PM2.5弥散,使用现场观测进行湍流模型选择。GIS量化建筑形态参数,以建立准确的CFD边界条件,确保模拟反映真实世界的条件和精确的建筑对空气质量的影响。此外,采用统计模型和对照实验检测建筑形态对风场和PM2.5弥散的影响。我们的研究结果表明,增加的容积率(FAR)往往会在建筑物后面产生停滞的风区,减少空气循环并捕获污染物。建筑密度越高,低风速区域越广,进一步加剧了PM2.5的积累。相反,促进开放空间和降低建筑密度可以显著增强街区层面的通风,促进污染物的扩散。这项研究不仅强调了建筑规划在污染控制中的重要性,而且为旨在促进可持续城市和社区的城市设计提供了实用指南。
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来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
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