城市街区形态对PM10、PM2.5的影响研究——以武汉为例

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%。

Effect of Urban Block Form on Reducing ParticulateMatter: A Case Study of Wuhan

There is significant difference in spatial forms andparticulate matter concentrations among different urban blocks.Based on PM10 and PM2.5 data derived from eighteen air qualitymonitoring station in Wuhan and two-and-three-dimensional blockspatial form indicators, the paper reveals the relationship betweendifferent block spatial forms and PM10 and PM2.5 concentrations, soas to provide reference for urban planning and control. Bivariatecorrelation analysis and univariate regression analysis were usedto reveal the correlation between block spatial form and PM10 andPM2.5, and their influence rules. Multiple linear regression analysiswas used to reveal the contribution of different block spatial formto PM10 and PM2.5 changes. The results showed that PM10, PM2.5concentrations in different blocks varied from 55%~106%, and59%~117% respectively based on the city average level. Greencoverage rate, road area ratio and relative elevation had a significantimpact on PM10 and PM2.5. The contribution of relative elevationand green coverage rate to PM10 changes was 83.0%, and thecontribution of green coverage to PM2.5 changes was 72.5%. Thecontribution of road area ratio to PM10 and PM2.5 changes was17.0% and 27.5% respectively.