| Particle matter?PM?pollution and its health effects are receiving more attention.Green land can provide critical ecosystem services,and increasing the supply of green land can cut particulate matter pollution,but the effects of green lands on PM at different scales are not clear.To identify monitoring stations for different traffic and meteorological factors,principal composition cluster analysis?PCA?and hierarchical cluster analysis?HCA?were implemented.Daily PMs(PM100 and PM2.5)concentrations were manually collected at 50 monitoring stations in Zhejiang?1Feb 2015 to 28 Feb 2017?from official sites to quantify the spatiotemporal change of PM concentration and its empirical relationship with green lands and landscape structure.The result shows that:?1?At 5-km,or smaller,scale,the correlation between green land and PM2.5is more obvious than PM10;?2?at 2-km scale or less,the total edge length has more impact on PMs than green cover area,while at 3–5-km scale,the green cover has more impact;and?3?to implement the landscape pattern to forecast the PM's concentration variation,the leading factors in the research area need to be considered to determine the analyzing scale.In the mountain and hilly area in Zhejiang that are dominated by the meteorological factors,we can establish the PM2.5.5 forecast model by the 3–4-km scale green lands,while in those basins or low lands,we can build the PM2.5.5 forecast model by using1–2-km scale green lands.The results are meaningful for urban green space planning,especially when it comes to the size and shape of the green space.In addition,it can provide the reference to the application of LUR?land use regression?model in Zhejiang area to forecast its PM concentration. |
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