Literature DB >> 31095364

Efficient Removal of Ultrafine Particles from Diesel Exhaust by Selected Tree Species: Implications for Roadside Planting for Improving the Quality of Urban Air.

Huixia Wang1,2, Barbara A Maher2, Imad Am Ahmed3, Brian Davison2.   

Abstract

Human exposure to airborne ultrafine (≪1 μm) particulate pollution may pose substantial hazards to human health, particularly in urban roadside environments where very large numbers of people are frequently exposed to vehicle-derived ultrafine particles (UFPs). For mitigation purposes, it is timely and important to quantify the deposition of traffic-derived UFPs onto leaves of selected plant species, with particularly efficient particle capture (high deposition velocity), which can be installed curbside, proximal to the emitting vehicular sources. Here, we quantify the size-resolved capture efficiency of UFPs from diesel vehicle exhaust by nine temperate-zone plant species, in wind tunnel experiments. The results show that silver birch (79% UFP removal), yew (71%), and elder (70.5%) have very high capabilities for capture of airborne UFPs. Metal concentrations and metal enrichment ratios in leaf leachates were also highest for the postexposure silver birch leaves; scanning electron microscopy showed that UFPs were concentrated along the hairs of these leaves. For all but two species, magnetic measurements demonstrated substantial increases in the concentration of magnetic particles deposited on the leaves after exposure to the exhaust particulates. Together, these new data show that leaf-deposition of UFPs is chiefly responsible for the substantial reductions in particle numbers measured downwind of the vegetation. It is critical to recognize that the deposition velocity of airborne particulate matter (PM) to leaves is species-specific and often substantially higher (∼10 to 50 times higher) than the "standard" Vd values (e.g., 0.1-0.64 cm s-1 for PM2.5) used in most modeling studies. The use of such low Vd values in models results in a major under-estimation of PM removal by roadside vegetation and thus misrepresents the efficacy of selected vegetation species in the substantial (≫20%) removal of PM. Given the potential hazard to health posed by UFPs and the removal efficiencies shown here (and by previous roadside measurements), roadside planting (maintained at or below head height) of selected species at PM "hotspots" can contribute substantially and quickly to improve in urban air quality and reductions in human exposure. These findings can contribute to the development and implementation of mitigation policies of traffic-derived PM on an international scale.

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Year:  2019        PMID: 31095364     DOI: 10.1021/acs.est.8b06629

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  4 in total

1.  Occupational Exposure to Particulate Matter and Volatile Organic Compounds in Two Indoor Cannabis Production Facilities.

Authors:  Brynne Silvey; Edmund Seto; Alexander Gipe; Niloufar Ghodsian; Christopher D Simpson
Journal:  Ann Work Expo Health       Date:  2020-08-06       Impact factor: 2.179

2.  Foliar surfaces as dust and aerosol pollution monitors: An assessment by a mining site.

Authors:  Kira Zeider; Nicole Van Overmeiren; Kyle P Rine; Shana Sandhaus; A Eduardo Sáez; Armin Sorooshian; Henry C Muñoz; Mónica D Ramírez-Andreotta
Journal:  Sci Total Environ       Date:  2021-06-01       Impact factor: 10.753

3.  Magnetism and Grain-Size Distribution of Particles Deposited on the Surface of Urban Trees in Lanzhou City, Northwestern China.

Authors:  Bo Wang; Xiaochen Zhang; Chenming Gu; Mei Zhang; Yuanhao Zhao; Jia Jia
Journal:  Int J Environ Res Public Health       Date:  2021-11-14       Impact factor: 3.390

4.  Protecting playgrounds: local-scale reduction of airborne particulate matter concentrations through particulate deposition on roadside 'tredges' (green infrastructure).

Authors:  Barbara A Maher; Tomasz Gonet; Vassil V Karloukovski; Huixia Wang; Thomas J Bannan
Journal:  Sci Rep       Date:  2022-08-20       Impact factor: 4.996

  4 in total

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