Multi-scale effects of high-density urban green space landscape pattern on PM2.5 and O3
In order to investigate the scale effect of green space landscape pattern on PM2.5 and O3 concentrations in high-density urban areas,four landscape pattern indices,namely edge density(ED),landscape shape index(LSI),area-weighted shape index(SHAPE_AM)and mean shape index(SHAPE_MN),were selected to measure the landscape pattern of green space in Xi'an city.Based on the atmospheric monitoring data of national air quality monitoring stations from 2020 to 2021,Pearson correlation analysis and linear regression analysis were used to investigate the spatial and temporal distribution characteristics of green space landscape pattern on PM2.5 and O3,the characteristics of green space landscape pattern and the relationship between PM2.5 concentration,O3 concentration and landscape pattern index at multiple scales in high-density urban areas.The results show that the landscape pattern has a more significant effect on PM2.5 concentrations in summer and O3 concentrations in spring,and optimizing the landscape pattern on smaller scale green spaces in high-density urban areas is more effective in influencing PM2.5 and O3 concentrations.The proposed green space optimization strategy can provide a reference for the planning and design of multi-scale green space in high-density urban areas.
urban high-density areasmulti-scale effectsgreen space landscape patternsPM2.5O3
NETL
NSTL
万方数据
