Effects of Green Space Landscape Pattern on Concentration of PM_2.5 and PM₁₀ in Xuzhou City

Based on the PM_2.5 and PM₁₀ data of seven national monitoring stations in the study area, the remote sensing images of the main urban area of Xuzhou City were interpreted and the landscape pattern index of green space was calculated by using ArcGIS and FragStats software.The correlation between the landscape pattern of urban green space and PM_2.5 and PM₁₀ concentration at different scales was analyzed by using Excel and SPSS software, and their relationship was explored, in order to provide a certain reference for further research on the influencing factors of PM_2.5 and PM₁₀.The results showed that green land, agricultural land, and water areas were negatively related to PM_2.5;construction land, transportation land, and unused land were PM_2.5‘source landscapes’,which were positively related to them; there was a seasonal difference between farmland and PM₁₀ concentrations.In winter and spring, agricultural would reduce PM₁₀ concentration, and summer and autumn would increase PM₁₀ concentration.The landscape area ratio of green patches, the largest patch index, and the area-weighted average patch shape index have significant negative correlations with PM_2.5 and PM₁₀,and the landscape segmentation index has a significant positive correlation with them.