PM2.5 deposition velocity and impact factors on leaves of typical tree species in Shanghai

doi:10.3969/j.issn.1000-5641.2016.06.002

Abstract

Abstract:

The use of urban vegetation has become one of the most important measures to reduce fine particles pollution (PM_2.5) in the atmosphere. In this study, PM_2.5 dry deposition velocities of 15 common-planted greening trees in Shanghai were firstly measured through strongly blowing method. Wax content, surface roughness and surface free energy of each plant leaves were determined, and the regression model was built to explore the relationship between leaves’ characters and their abilities to detain particles. The results has shown that leaves of Magnolia grandiflora, Podocarpus macrophyllus, Sabina chinensis and some other tree species have a higher PM_2.5 dry deposition velocity, which has strong capability of detaining dust; wax content, polar component, dispersion component and arithmetical mean deviation of the profile (Ra) are significant to evergreen trees while insignificant to conifers, and polar component is significant to deciduous trees. Therefore, to improve the particles purification of plants, it is highly recommended that coniferous tree species, broad-leaved trees, such as Prunus cerasifera, Magnolia grandiflora and Sophora japonica and some other trees of high dust retention abilities, should be better options in practice.

Key words: fine particles pollution (PM_2.5), greening tree species, dry deposition velocity, leaves characters

References

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PM_2.5 deposition velocity and impact factors on leaves of typical tree species in Shanghai

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