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评估树叶去除颗粒物的能力。

Assessing the Particulate Matter Removal Abilities of Tree Leaves.

作者信息

Liu Jinqiang, Zhang Ruina, Liu Huanhuan, Duan Jie, Kang Jia, Guo Zemin, Xi Benye, Cao Zhiguo

机构信息

Key Laboratory of Silviculture and Conservation of Ministry of Education, Beijing Forestry University.

Key Laboratory of Silviculture and Conservation of Ministry of Education, Beijing Forestry University;

出版信息

J Vis Exp. 2018 Oct 7(140):58026. doi: 10.3791/58026.

Abstract

Based on the conventional cleaning methods (water cleaning (WC) + brush cleaning (BC)), this study evaluated the influence of ultrasonic cleaning (UC) on collecting various sized particulate matter (PM) retained on leaf surfaces. We further characterized the retention efficiency of leaves to various sized PM, which will help to assess the abilities of urban trees to remove PM from ambient air quantitatively. Taking three broadleaf tree species (Ginkgo biloba, Sophora japonica, and Salix babylonica) and two needleleaf tree species (Pinus tabuliformis and Sabina chinensis) as the research objects, leaf samples were collected 4 days (short PM retention period) and 14 days (long PM retention period) after the latest rainfall. PM retained on the leaf surfaces was collected by means of WC, BC, and UC in sequence. Then, retention efficiencies of leaves (AEleaf) to three types of the various sized PM, including easily removable PM (ERP), difficult-to-remove PM (DRP), and totally removable PM (TRP), were calculated. Only around 23%-45% of the total PM retained on leaves could be cleaned off and collected by WC. When the leaves were cleaned through WC+BC, the underestimation of the PM retention capacity of different tree species was in the range of 29%-46% for various sized PM. Almost all PM retained on leaves could be removed if UC was supplemented to WC+BC. In conclusion, if the UC was complemented after the conventional cleaning methods, more PM on leaf surfaces could be eluted and collected. The procedure developed in this study can be used for assessing the PM removal abilities of different tree species.

摘要

基于传统清洁方法(水洗(WC)+刷洗(BC)),本研究评估了超声清洗(UC)对收集叶片表面留存的各种粒径颗粒物(PM)的影响。我们进一步表征了叶片对各种粒径PM的留存效率,这将有助于定量评估城市树木从环境空气中去除PM的能力。以三种阔叶树种(银杏、国槐和垂柳)和两种针叶树种(油松和圆柏)为研究对象,在最近一次降雨后4天(短PM留存期)和14天(长PM留存期)采集叶片样本。依次通过WC、BC和UC收集叶片表面留存的PM。然后,计算叶片对三种不同粒径PM(包括易去除PM(ERP)、难去除PM(DRP)和完全可去除PM(TRP))的留存效率(AEleaf)。通过WC只能清除并收集叶片上留存的总PM的约23%-45%。当通过WC+BC清洗叶片时,对于各种粒径的PM,不同树种PM留存能力的低估范围为29%-46%。如果在WC+BC基础上补充UC,几乎所有留存于叶片上的PM都可以被去除。总之,如果在传统清洁方法之后补充UC,可以洗脱并收集叶片表面更多的PM。本研究中开发的程序可用于评估不同树种的PM去除能力。

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