Particulate matter deposited on leaf of five evergreen species in Beijing, China:source identification and size distribution

Song, Yingshi and Maher, Barbara Ann and Li, Feng and Wang, Xiaoke and Sun, Xiao and Zhang, Hongxing (2015) Particulate matter deposited on leaf of five evergreen species in Beijing, China:source identification and size distribution. Atmospheric Environment, 105. pp. 53-60. ISSN 1352-2310

Full text not available from this repository.

Abstract

Airborne particulate matter (PM) has become a serious problem, and urban plants can play important roles in reducing PM concentrations in the air. The morphology, size, and elemental composition of PM on tree leaves (five evergreen species) from Beijing, China, were obtained, together with number density of PM size fraction, by using scanning electron microscopy (SEM) and energy dispersive X-rays (EDX). The rinse and weigh method was used to characterize PM in three size categories (0.2–2.5 μm, 2.5–10 μm, and 10–100 μm). The results showed that PM up to 2 μm can get into the stomatal cavity, and the most furrowed areas of the leaf surfaces were sites of maximum PM deposition. The leaf-deposited PM mainly comprised C, O, Si, and Fe. The number of particles per leaf per cm2 was 1.95 × 107, and 96% of the particles were less than 2.5 μm. The mass concentration was 148.44 μg/cm2, and PM2.5 comprised only 2.09% by weight while PM larger than 10 μm comprised 79%. Juniperus formosana was most effective at mitigating airborne PM on the leaf scale. Pinus bungeana accumulated the most PM on the tree scale. The results showed that urban plants can play important roles in mitigating urban airborne PM.

Item Type:
Journal Article
Journal or Publication Title:
Atmospheric Environment
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1900/1902
Subjects:
?? PARTICULATE MATTEREVERGREEN SPECIESPARTICLE NUMBERPARTICLE COMPOSITIONPARTICLE MASS CONCENTRATIONSENVIRONMENTAL SCIENCE(ALL)ATMOSPHERIC SCIENCE ??
ID Code:
81131
Deposited By:
Deposited On:
31 Aug 2016 13:52
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Sep 2023 01:55