Literature DB >> 29134522

Capacity of six shrub species to retain atmospheric particulates with different diameters.

Xiaodan Sun1, Haimei Li2, Xiao Guo1, Yingkun Sun1, Shimei Li1.   

Abstract

Garden plants can absorb and retain atmospheric particles and are important for remediating environmental pollution. In this study, the dust retention characteristics of six typical shrub species were measured in the greenbelt of a road in the Chengyang District of Qingdao, China, and the maximum capacity for dust retention of each species was determined. The different diameters and areas occupied by particulate matter (PM) were analyzed on the leaf surfaces of the plants. Based on the results for the six shrub species, the rank order of average content of dust retention per unit leaf area was Euonymus japonicus > Pyracantha fortuneana > Ligustrum vicaryi > Amygdalus triloba > Ligustrum sinense > Forsythia suspensa, whereas the rank order of average content per unit volume was E. japonicus > A. triloba > P. fortuneana > L. vicaryi > L. sinense > F. suspensa. The maximum content of dust retention per unit leaf area was reached in approximately 24 days. Plants retained atmospheric PM primarily on the upper leaf surfaces. The primary portion of particles on the leaves was PM10 (over 80%), and PM2.5 was the principal component of PM10. Leaf surface structure significantly affected the abilities of plants to retain PM, and the plants with a thick wax layer or large and dense stomata adsorbed more PM, such as E. japonicus. This study provides a scientific basis for the capacity of landscape plants to retain different diameter particulates.

Entities:  

Keywords:  Atmospheric particulates; Dust retention; PM2.5; Shrub species

Mesh:

Substances:

Year:  2017        PMID: 29134522     DOI: 10.1007/s11356-017-0549-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  10 in total

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Journal:  Sci Total Environ       Date:  2012-05-02       Impact factor: 7.963

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Authors:  Yashoda Saini; Nagendra Bhardwaj; Radha Gautam
Journal:  J Environ Biol       Date:  2011-03

6.  Particulate matter on foliage of 13 woody species: deposition on surfaces and phytostabilisation in waxes--a 3-year study.

Authors:  Robert Popek; Helena Gawrońska; Mariola Wrochna; Stanisław W Gawroński; Arne Saebø
Journal:  Int J Phytoremediation       Date:  2013       Impact factor: 3.212

7.  The dust retention capacities of urban vegetation-a case study of Guangzhou, South China.

Authors:  Lu Liu; Dongsheng Guan; M R Peart; Gang Wang; Hui Zhang; Zhiwei Li
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-23       Impact factor: 4.223

8.  The morphological structure of leaves and the dust-retaining capability of afforested plants in urban Guangzhou, South China.

Authors:  Lu Liu; Dongsheng Guan; M R Peart
Journal:  Environ Sci Pollut Res Int       Date:  2012-05-22       Impact factor: 4.223

9.  [Exploration of a quantitative methodology to characterize the retention of PM2.5 and other atmospheric particulate matter by plant leaves: taking Populus tomentosa as an example].

Authors:  Zhi-Dan Zhang; Ben-Ye Xi; Zhi-Guo Cao; Li-Ming Jia
Journal:  Ying Yong Sheng Tai Xue Bao       Date:  2014-08

10.  Assessing the Capacity of Plant Species to Accumulate Particulate Matter in Beijing, China.

Authors:  Li Mo; Zeyu Ma; Yansen Xu; Fengbin Sun; Xiaoxiu Lun; Xuhui Liu; Jungang Chen; Xinxiao Yu
Journal:  PLoS One       Date:  2015-10-27       Impact factor: 3.240

  10 in total
  2 in total

1.  Resuspension of settled atmospheric particulate matter on plant leaves determined by wind and leaf surface characteristics.

Authors:  Guiling Zheng; Peng Li
Journal:  Environ Sci Pollut Res Int       Date:  2019-05-11       Impact factor: 4.223

2.  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

  2 in total

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