期刊论文详细信息
Urban Science
Particulate Matter Accumulation and Elemental Composition of Eight Roadside Plant Species
article
Huong-Thi Bui1  Jihye Park1  Eunyoung Lee1  Moonsun Jeong2  Bong-Ju Park1 
[1]Department of Horticultural Science, Chungbuk National Unversity
[2]Department of Landscape Architecture and Urban Planning, Cheongju University
关键词: air quality;    leaf traits;    urban area;    elemental composition;    particulate matter;   
DOI  :  10.3390/urbansci7020051
学科分类:社会科学、人文和艺术(综合)
来源: mdpi
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【 摘 要 】
Particulate matter (PM) is the most dangerous air pollutant that adversely affects health. Increasing PM in urban areas is a big problem that must be solved. This study analyzed the amount of PM that accumulated on plant leaves, as well as the leaf traits that contribute to PM accumulation, to determine the plant’s ability to accumulate PM and the impact of PM on the plants. Scanning electron microscopy (SEM) and energy dispersive X-ray (EDX) analysis were used to quantitatively assess metal concentrations in the particles that had accumulated on the leaf samples. Eight common plant species that grow on the roadside were used to analyze leaf traits using leaf samples. Specific leaf areas (SLA), leaf extract pH (pH), relative leaf water content (RWC), chlorophyll (Chl), and carotenoids were analyzed. PM accumulation and leaf traits varied among plant species, and Parthenocissus tricuspidata showed the highest PM accumulation on its leaf surface. The leaf’s elemental composition included C, O, Ca, K, Mg, S, P, Al, Si, Na, Cl, and Fe. Among these elements, Ca, K, and Cl made up a relatively large percentage. Fe was only detected in the leaves of Pachysandra terminalis and P. tricuspidata, while C and O were excluded as they are not relevant in determining PM metal content. Plants not only accumulate PM but also heavy metals from the atmosphere. This study found that plants with highly effective PM accumulation, such as P. tricuspidate, should be considered for optimizing the benefits of plants in improving air quality.
【 授权许可】

CC BY   

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