Subduction effect of urban arteries green space on atmospheric concentration of PM2.5 in Beijing
Through selecting road green spaces, which communities in the typical configuration, as experimental monitoring points, PM2.5concentration distribution, subduction and its relationship with changes of traffic flow and configuration mode of plant community were studied under different greenbelt widths of 0 m, 6 m, 16 m, 26 m and 36 m. Meanwhile, respectively under three categories of air quality conditions, the effect of road green spaces on PM2.5 abatement were evaluated. The results showed that: 1) Daily changes of PM2.5 concentration were consistent with that of traffic flow, furthermore, diurnal variation characteristics of PM2.5 concentration in road green spaces was described by the double peak and single valley curve, which were high in morning and night and low in daylight, and the highest values at 19:00 and the lowest values at 12:00. 2) The subduction rates were different in green spaces. And the subduction effect of green spaces on PM2.5 concentration, which were more-layer structure types with high canopy density, was better than whose structure types were one-layer with low canopy density. 3) Under the air quality conditions of non-pollution or slight pollution (PM2.5<100μg·m-3), the subduction effect of green spaces on PM2.5 concentration was very obvious and greenbelt width of 26 m and 36 m had the best subduction effect by 12.22%. Under the air quality conditions of moderate pollution (101μg·m-3<PM2.5<200μg·m-3), only green spaces of south Landianchang bridge, which communities in the configuration tree forest - oriented, high canopy density, had the subduction effect on PM2.5 concentration. However, under the air quality conditions of intense pollution (PM2.5>200μg·m-3), the subduction effect was limited.
concentration variation of PM2.5subduction rateroad green spacegreen belt widthconfiguration mode
国家科技期刊平台
NSTL
万方数据
维普
