道路两侧不同树种对大气中可吸入污染颗粒物的吸附效应分析研究
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摘要
不同树种对大气中可吸入污染颗粒物的吸附效应存在显著差异,其中,白杄、油松对PM_(10)的吸附效应较强,白杄对PM_(1.0)的吸附效应较强,油松对TSP的吸附效应较强,白杄、油松对PM_(2.5)的吸附效应较强;而国槐对上述可吸入污染颗粒物的吸附效应较弱;白毛杨的吸附效应最弱。因此可以得出结论,气孔密集、绒毛多的叶片有利于树种对污染颗粒物的吸附,其中,白杄、油松的综合吸附效应最好,能够有效降低大气中可吸入污染颗粒物的含量,是优良的道路两侧绿化树种。
The results showed that there were significant differences in the adsorption effects of different tree species on PM_(10), PM_(1.0), TSP, and PM_(2.5). The adsorption effects of betula platyphylla and pinus tabulaeformis on PM_(10), PM_(1.0), TSP, and PM_(2.5) were stronger, while the adsorption effects of Sophora japonica and Pinus tabulaeformis on PM_(2.5) were weaker. Poplar has the weakest adsorption effect. Therefore, it can be concluded that the leaves with dense stomata and more villus are beneficial to the adsorption of polluted particulate matter by tree species. Among them, the comprehensive adsorption effect of betula platyphylla and pinus tabulaeformis is the best, which can effectively reduce the content of inhalable polluted particulate matter in the atmosphere, and it is an excellent greening tree species on both sides of the road.
The results showed that there were significant differences in the adsorption effects of different tree species on PM_(10), PM_(1.0), TSP, and PM_(2.5). The adsorption effects of betula platyphylla and pinus tabulaeformis on PM_(10), PM_(1.0), TSP, and PM_(2.5) were stronger, while the adsorption effects of Sophora japonica and Pinus tabulaeformis on PM_(2.5) were weaker. Poplar has the weakest adsorption effect. Therefore, it can be concluded that the leaves with dense stomata and more villus are beneficial to the adsorption of polluted particulate matter by tree species. Among them, the comprehensive adsorption effect of betula platyphylla and pinus tabulaeformis is the best, which can effectively reduce the content of inhalable polluted particulate matter in the atmosphere, and it is an excellent greening tree species on both sides of the road.
引文
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[10]陈博,于海群.居住小区植物配置方式对大气颗粒物浓度的影响[J].林业与环境科学,2018,15(2):101-103.
[2]王萌,刘一超,梁琼,等.北京城市森林公园不同树种吸附大气颗粒物能力[J].北京农学院学报,2018(1):79-83.
[3]邹惠芬,张晶晶,李绥,等.绿化树木作为多孔介质吸附颗粒物的原理分析[J].节能,2016,35(4):9-12.
[4]林鑫涛.亚热带常绿树种对不同粒径颗粒物的滞留能力[J].广西植物,2016,36(2):170-176.
[5]赵云阁,鲁绍伟,李利学,等.北京秋季不同树种吸附PM_(2.5)研究[J].中南林业科技大学学报,2016,36(10):27-33.
[6]吕铃钥,李洪远,杨佳楠.植物吸附大气颗粒物的时空变化规律及其影响因素的研究进展[J].生态学杂志,2016,35(2):524-533.
[7]安朴艳,庄晨,胡德安.竖直通风管道内颗粒物沉积数值仿真研究[J].计算机仿真,2016,33(11):194-198.
[8]史军娜,张罡,安海龙,等.北京市16种树木吸附大气颗粒物的差异及颗粒物研究[J].北京林业大学学报,2016,38(12):84-91.
[9]张维康,王兵,牛香.不同树种叶片微观结构对其滞纳空气颗粒物功能的影响[J].生态学杂志,2017,36(9):2507-2513.
[10]陈博,于海群.居住小区植物配置方式对大气颗粒物浓度的影响[J].林业与环境科学,2018,15(2):101-103.