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    公园绿地植物配置对大气PM2.5浓度的消减作用及影响因子

    关键词:风景园林;公园;绿地;植物配置;PM2.5;消减率

    Key words:landscape architecture; park; green space; plant community; fine particles; removal percentage

    摘要:城市公园绿地具有消减大气细颗粒物浓度的功能,通过对北京4家公园内典型植物配置群落全年大气中细颗粒物(PM2.5)的测定, 定量研究了不同植物配置模式对大气PM2.5浓度的消减作用,分析了植物配置模式的各表征因子对大气PM2.5消减率的影响。并分析了气象因子对大气PM2.5浓度变化的影响。研究结果表明:1)不同配置模式绿地对细颗粒物的消减效果略有差异,但差异不显著。纯林绿地或乔草配置型绿地消减PM2.5能力最佳,纯草坪绿地对PM2.5消减率最低;2)植物配置模式的表征因子中,斑块面积会显著影响绿地对大气PM2.5浓度的消减能力(P<0.01),斑块面积越大,绿地对消减PM2.5浓度的效果越明显。而与乔木层郁闭度、乔木层高度、草坪盖度等结构指标相关性不显著;3)各观测点PM2.5浓度显示与群落内的相对湿度呈显著正相关,与大气压无关。

    Abstract:Green spaces contribute to the removal of air particle pollutants. This quantitative study, using continued monitoring data of fine particles (PM2.5) from different plant communities in four urban parks, demonstrates that vegetation can remove the amount of PM2.5. Furthermore, the correlation analysis has been performed between vegetal status measured by patch size, canopy density, trees canopy height and lawn coverage with PM2.5 removal percentage. The partial correlation between the concentration of PM2.5 and environmental factors is also analyzed. Results show that: 1) The PM2.5 removal percentage of different plant communities in 4 parks is slightly different. For the plant community with trees or trees + herbs configuration, the PM2.5 removal percentage is better. For the plant community with lawn configuration, the PM2.5 removal percentage is the lowest. 2) The patch size can significantly affect on the abatement of atmospheric PM2.5 concentration (P<0.01). Plant communities with larger patch size can remove more PM2.5 concentration. No significant relationship was identified between canopy density, trees canopy height and lawns coverage with PM2.5 removal percentage. 3) There was significant positive correlation between PM2.5 concentration with relative humidity in the communities.

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