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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(PM_(2.5))的测定,定量研究了不同植物配置模式对大气PM_(2.5)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PM_(2.5)消减率的影响。并分析了气象因子对大气PM_(2.5)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PM_(2.5)能力最佳,纯草坪绿地对PM_(2.5)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PM_(2.5)浓度的消减能力(P<0.01),斑块面积越大,绿地对消减pM_(2.5)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PM_(2.5)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。
Urban park green space has the function of reducing the concentration of fine particulates in the atmosphere. Through the determination of the fine particulate matter (PM_ (2.5)) in the typical plant community in four parks in Beijing, the effect of different plant allocation modes on the PM_ (2.5 ) Concentration, the effect of each characterization factor of plant allocation model on the reduction rate of atmospheric PM_ (2.5) was analyzed. And analyzed the influence of meteorological factors on the change of atmospheric PM_ (2.5) concentration. The results show that: 1) There is a slight difference in the reduction effect of fine particulate matter in different configuration modes of greenbelt, but the difference is not significant. The best PM 2.5 was the best in pure green or Arbor-green grassland, and the lowest PM 2.5 in the pure grass green land. 2) In the characterization of plant allocation pattern, the plaque area significantly affected the PM_ (2.5) (2.5) concentration (P <0.01). The larger the plaque area, the more obvious the effect of reducing the concentration of pM_ (2.5) was. However, the correlation between the PM_ (2.5) concentration and the relative humidity in the community is significant and not related to the atmospheric pressure.