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北京市16种树木吸附大气颗粒物的差异及颗粒物研究

史军娜 张罡 安海龙 曹学慧 刘超 尹伟伦 夏新莉

北京林业大学学报2016,Vol.38Issue(12):84-91,8.
北京林业大学学报2016,Vol.38Issue(12):84-91,8.DOI:10.13332/j.1000-1522.20160053

北京市16种树木吸附大气颗粒物的差异及颗粒物研究

Differences in atmospheric particle accumulation on leaf surface in sixteen tree species in Beijing and characteristics of particles

史军娜 1张罡 1安海龙 1曹学慧 1刘超 1尹伟伦 1夏新莉1

作者信息

  • 1. 北京林业大学生物科学与技术学院,林木育种国家工程实验室
  • 折叠

摘要

Abstract

In order to select plant species that can efficiently adsorb atmospheric particles in air pollution, microstructures of leaf surface and morphology of particles on leaf surface of 16 urban tree species were observed by using scanning electron microscopy ( SEM) and size fractions of particles were analyzed with Image J software in Xizhimen transportation hub of Beijing. The results showed that: 1 ) there were marked differences in leaf surface morphology. The morphology of the upper side of leaves of broad-leaved tree species was rather complex, containing grooves, folds, fluffs, waxes, etc. In contrast, the morphology of the lower side of the leaves was relatively simple, mainly including stomas, glandular hairs and fluffs. The leaf surface of conifers had a few folds and a lot of secretion. 2) Most of particles were rough and irregular. 3 ) Particles ( <2. 5 μm ) accounted for the largest proportion. The result of elementary components analysis indicated that leaf-accumulated particles were mainly comprised of C, N, O, Si, Ca, Fe and few Na, mg, Pb, Ni, Cd and Pb. The particles including mainly C, N,O, Na, Mg, Si and Ca might come from natural source, whereas particles containing Pb, Fe, Ni, Cd and Pd might be the result of human activity from diesel, coal and other anthropogenic sources. Comparing particle adhesion density on leaf surface of the 16 tree species, Sabina chinensis, Pinus tabuliformis, Koelreuteria paniculata, Sophora japonica and Amygdalus triloba were efficient in capturing particles on leaf surface.&nbsp;The study can provide scientific theories to reveal how trees absorb particles and thereby choose efficient greening tree species.

关键词

绿化树种/大气颗粒物/颗粒物附着密度/粒径分布/元素组成

Key words

greening tree species/atmospheric particles/adhesion density of particles/particle size distribution/elementary composition

分类

农业科技

引用本文复制引用

史军娜,张罡,安海龙,曹学慧,刘超,尹伟伦,夏新莉..北京市16种树木吸附大气颗粒物的差异及颗粒物研究[J].北京林业大学学报,2016,38(12):84-91,8.

基金项目

林业公益性行业科研专项(201304301)。 (201304301)

北京林业大学学报

OA北大核心CSCDCSTPCD

1000-1522

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