| 摘要: |
| 构成城市肌理的普遍街区的空间形态与颗粒物浓度
存在显著差异。基于武汉市18个空气质量监测点的PM10、
PM2.5数据与二维、三维街区形态指标，揭示不同街区形态
与PM10、PM2.5之间的深层关系规律，以期为城市规划管控
提供参考。双变量相关分析与一元回归分析揭示了街区形态
与PM10、PM2.5的相关性及其影响规律，多元线性回归分
析揭示不同街区形态对PM10、PM2.5变化的贡献度。结果表
明，街区之间的平均PM10、PM2.5浓度分别在城市平均水平
55%~106%、59%~117%之间浮动，绿化覆盖率、道路面
积率和相对高程对PM10、PM2.5具有显著影响，相对高程与
绿化覆盖率对PM10变化的贡献度达83.0%，绿化覆盖率对
PM2.5变化的贡献度达72.5%，道路面积率对PM10、PM2.5
变化的贡献度分别为17.0%、27.5%。 |
| 关键词: 风景园林 街区形态 规划设计指标 PM10 PM2.5 |
| DOI： |
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| 基金项目: |
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| Effect of Urban Block Form on Reducing ParticulateMatter: A Case Study of Wuhan |
| DAI Fei,CHEN Ming,WANG Min,ZHU Shengwei,FU Fan |
| Abstract: |
| There is significant difference in spatial forms and
particulate matter concentrations among different urban blocks.
Based on PM10 and PM2.5 data derived from eighteen air quality
monitoring station in Wuhan and two-and-three-dimensional block
spatial form indicators, the paper reveals the relationship between
different block spatial forms and PM10 and PM2.5 concentrations, so
as to provide reference for urban planning and control. Bivariate
correlation analysis and univariate regression analysis were used
to reveal the correlation between block spatial form and PM10 and
PM2.5, and their influence rules. Multiple linear regression analysis
was used to reveal the contribution of different block spatial form
to PM10 and PM2.5 changes. The results showed that PM10, PM2.5
concentrations in different blocks varied from 55%~106%, and
59%~117% respectively based on the city average level. Green
coverage rate, road area ratio and relative elevation had a significant
impact on PM10 and PM2.5. The contribution of relative elevation
and green coverage rate to PM10 changes was 83.0%, and the
contribution of green coverage to PM2.5 changes was 72.5%. The
contribution of road area ratio to PM10 and PM2.5 changes was
17.0% and 27.5% respectively. |
| Key words: landscape architecture block form planning and design
indicator PM10 PM2.5 |
