徐州市主城区绿地景观格局对PM2.5及PM10的影响

基于研究区7个国家监测站点的PM2.5、PM10数据,运用ArcGIS、Fragstats软件对徐州市主城区的遥感影像进行解译和绿地景观格局指数的计算,结合Excel、SPSS软件分析城市绿地景观格局在不同尺度上与PM2.5、PM10浓度之间的相关性,探寻绿地景观格局与PM2.5、PM10的关系,以期为进一步研究PM2.5、PM10的影响因素提供参考依据。结果表明:绿地、农业用地和水域与PM2.5呈负相关关系;建设用地、交通用地和未利用土地与PM2.5呈正相关关系;农业用地与PM10浓度具有季节性差异,冬季和春季农地会使PM10浓度降低,夏季和秋季会使PM10浓度增大。绿地斑块所占景观面积比、绿地最大斑块指数、面积加权平均斑块形状指数与PM2.5和PM10具有明显的负相关性,景观分离度指数与其呈正相关关系。

Effects of Green Space Landscape Pattern on Concentration of PM2.5 and PM10 in Xuzhou City

Based on the PM2.5 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 PM2.5 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 PM2.5 and PM10.The results showed that green land,agricultural land,and water areas were negatively related to PM2.5;construction land,transportation land,and unused land were PM2.5‘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 PM2.5 and PM10,and the landscape segmentation index has a significant positive correlation with them.