摘要
以南京市6种常见绿化植物为对象,通过测定叶片对PM_(2.5)吸附量和观测叶表面超微结构,探讨了叶片表面特征对吸附PM_(2.5)功能的影响。结果表明:6种植物中,雪松叶片单位面积吸附PM_(2.5)的量最大,为10.21μg/cm^2,其次为龙柏、悬铃木、广玉兰和桂花,海桐吸附值最小,为1.79μg/cm^2。超微电镜观测结果显示,雪松的气孔最大,海桐的气孔最小,法桐表面粗糙有绒毛,广玉兰的表面光滑。由此可见,叶表面气孔大小、是否有蜡质层是影响叶片吸附PM_(2.5)的重要因素。
In this study,six common green plants in Nanjing were selected as the objects,and the functional mechanism of PM 2.5 adsorption by common green plants in Nanjing was discussed by measuring the amount of PM 2.5 adsorption on the leaves and observing the ultrastructure of the leaf surface.The results showed that among the six plants,leaves of the Cedrus deodara(Roxb.)G.Don had the strongest PM 2.5 adsorption capacity per unit area,which reached 10.21μg/cm^2,followed by Sabina chinensis cv.Kaizuka,Platanus acerifolia,Magnolia grandiflora Linn and Osmanthus fragrans,and Pittosporum tobira trees had the lowest adsorption value,which was 1.79μg/cm^2.The results of ultrafine electron microscopy showed that the porosity of Cedrus deodara(Roxb.)G.Don was the largest;On the contrary,the stomata of Pittosporum tobira was the smallest.The adsorption amount of PM 2.5 of the rough Platanus acerifolia leaves was larger than that of the smooth Magnolia grandiflora Linn leaves.It could be seen that the size of pores on the leaf surface,as well as the presence of waxy layer was important for affecting the absorption of PM 2.5.
作者
王磊
万欣
江浩
何冬梅
王火
祝亚云
Wang Lei;Wan Xin;Jiang Hao;He Dongmei;Wang Huo;Zhu Yayun(Forestry of Academy of Jiangsu, Nanjing 211153 China)
出处
《江苏林业科技》
2018年第6期39-43,共5页
Journal of Jiangsu Forestry Science & Technology
基金
江苏省农业科技自主创新资金项目"消减PM2.5的农田林网树种筛选与配置模式研究"[CX(17)3055]
"十二五"国家科技支撑计划项目子课题"浙江及江苏区域城镇景观林综合保健功能评价利用技术示范"(2015BAD07B06)
关键词
植物叶片
PM2.5
表面超微结构
悬铃木
广玉兰
雪松
Plant leaf
PM2.5
Adsorption capacity
Surface ultrastructure
Platanus acerifolia
Magnolia grandiflora
Cedrus deodera
