Mitigation effect of morphological pattern of green space on PM2.5 based on MSPA:A case study of Guangzhou and Shenzhen
In the context of urban land shortage,optimizing the spatial pattern of green space is of great significance to improve air quality.Most previous studies only used landscape pattern indices to measure the spatial characteristics of green space,and analyzed the mitigation effect of different green space patterns on PM2.5.However,landscape pattern index is only a quantitative index reflecting the number and structure of green space,which cannot be implemented in spatial dimension.In order to solve this problem,this study takes Guangzhou and Shenzhen as examples to explore the mitigation effect of different green space patterns on PM2.5 based on MSPA.The results show that:PM2.5 values of 21 research units are basically the same in time,and the spatial level is closely related to whether there is green space nearby.In the correlation analysis,PM2.5 is significantly positively correlated with the construction land area and the proportion of islet,and negatively correlated with the proportion of core.In the random forest model,the proportion of branches,the proportion of islands,and the road density have a strong effect on PM2.5.PM2.5 in urban areas is greatly affected by the proportion of core and islet,while PM2.5 in suburban areas is not affected by different green space patterns.According to the analysis results,it is proposed to strengthen the protection of large-scale green open spaces,integrate fragmented green space to core the form of islet,and construct linear urban green corridors and greenways to improve PM2.5 pollution.In summary,this paper has revealed the mechanism of PM2.5 mitigation effect of different green space patterns based on MSPA,and has provided new ideas for air pollution control and urban green space pattern planning and management.
MSPAmorphological pattern of green spacePM2.5GuangzhouShenzhen
万方数据
维普
