| 摘要: |
| 在城市用地紧张的背景下，优化绿色基础设施(UGI)
空间形态，对缓解大气颗粒物具有重要意义。目前关于UGI空
间形态与大气颗粒物的研究主要基于景观格局指数分析，极少
从形态学空间格局分析(MSPA)角度展开。基于武汉建成区内
16个空气质量监测点为中心形成的1 000m×1 000m研究单
元，通过MSPA和UGI连通性分析，研究MSPA要素、UGI
连通性对PM 2.5 浓度的影响。结果表明：16个研究单元的
MSPA要素存在较大差异，可分为以核心与边缘为主导要素
的2种形态，其相应的UGI整体连通性前者高于后者；PM 2.5
污染越重时，研究单元的UGI比例、MSPA要素与PM 2.5 浓度
相关性越显著，整体而言，PM 2.5 浓度与核心、孔隙的面积以
及孔隙、环的数量呈显著负相关，与孤岛、分支的面积呈显著
正相关，与边缘面积在轻度污染时呈显著正相关；整体连接度
连接指数EC(IIC)与可能连接度连接指数EC(PC)均与PM 2.5
浓度呈显著负相关。最后，从改善PM 2.5 污染的角度，提出增
加UGI的核心并减少孤岛面积、以环线加强UGI内部连通性与
提高UGI的整体连接度等策略。 |
| 关键词: 风景园林 绿色基础设施 形态学空间格局分
析 连通性 PM 2.5 |
| DOI： |
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| 基金项目: |
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| Effects of Urban Green Infrastructure SpatialPattern on PM 2.5 Based on MSPA |
| CHEN Ming,DAI Fe |
| Abstract: |
| In consideration of the shortage of urban land, it
is of great significance to optimize the spatial form of urban
green infrastructure (UGI) to alleviate atmospheric particulate
matter. However, the research on UGI spatial morphology and
atmospheric particulate matter is mainly based on landscape
pattern index analysis, rarely involving morphological spatial
pattern analysis (MSPA). Based on MSPA and UGI connectivity
analysis, the influence of MSPA elements and UGI connectivity
on PM 2.5 concentration was studied in the 1000m×1000m areas
surrounding 16 air quality monitoring points in Wuhan built-up
area. The results showed that there are significant differences in
MSPA elements among the 16 research units, which can be divided
into two types: core and edge as the dominant elements, and the
overall connectivity of UGI is higher in the former than in the
latter. The higher the PM 2.5 concentration is, the more significant
the correlation between UGI ratio, MSPA elements and PM 2.5
concentration is. As a whole, PM 2.5 concentration is negatively
correlated with the area of core, perforation and the number of
perforation and loop, and positively correlated with the area of islet
and branches; and positive correlated with edge area in the case of
slight pollution; the overall connectivity index EC (IIC) and the
possible connectivity index EC (PC) were significantly negatively
correlated with PM 2.5 concentration. Finally, the study proposed that
increasing the core of UGI and reducing island area, strengthening
the internal connectivity of UGI by loop and improving the
connectivity of UGI are beneficial for improving PM 2.5 pollution. |
| Key words: landscape architecture green infrastructure morphological spatial pattern analysis connectivity PM 2.5 |
