Literature DB >> 26385643

Experimental examination of effectiveness of vegetation as bio-filter of particulate matters in the urban environment.

Lixin Chen1, Chenming Liu1, Rui Zou1, Mao Yang1, Zhiqiang Zhang2.   

Abstract

Studies focused on pollutants deposition on vegetation surfaces or aerodynamics of vegetation space conflict in whether vegetation planting can effectively reduce airborne particulate matter (PM) pollution. To achieve a more comprehensive understanding of the conflict, we conducted experiments during 2013 and 2014 in Beijing, China to evaluate the importance of vegetation species, planting configurations and wind in influencing PM concentration at urban and street scales. Results showed that wind field prevailed over the purification function by vegetation at urban scale. All six examined planting configurations reduced total suspended particle along horizontal but not vertical direction. Shrubs and trees-grass configurations performed most effectively for horizontal PM2.5 reduction, but adversely for vertical attenuation. Trapping capacity of PMs was species-specific, but species selection criteria could hardly be generalized for practical use. Therefore, design of planting configuration is practically more effective than tree species selection in attenuating the ambient PM concentrations in urban settings.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biofiltering; Particulate matter (PM2.5 & total suspended particle(TSP)); Spatial planting configuration; Species differences; Wind effect

Mesh:

Substances:

Year:  2015        PMID: 26385643     DOI: 10.1016/j.envpol.2015.09.006

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  8 in total

Review 1.  Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models.

Authors:  Arvind Tiwari; Prashant Kumar; Richard Baldauf; K Max Zhang; Francesco Pilla; Silvana Di Sabatino; Erika Brattich; Beatrice Pulvirenti
Journal:  Sci Total Environ       Date:  2019-03-26       Impact factor: 7.963

2.  Assessing the Particulate Matter Removal Abilities of Tree Leaves.

Authors:  Jinqiang Liu; Ruina Zhang; Huanhuan Liu; Jie Duan; Jia Kang; Zemin Guo; Benye Xi; Zhiguo Cao
Journal:  J Vis Exp       Date:  2018-10-07       Impact factor: 1.355

3.  Quantifying particulate matter accumulated on leaves by 17 species of urban trees in Beijing, China.

Authors:  Yansen Xu; Wen Xu; Li Mo; Mathew R Heal; Xiaowu Xu; Xinxiao Yu
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-20       Impact factor: 4.223

4.  Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression.

Authors:  Jieqiong Luo; Peijun Du; Alim Samat; Junshi Xia; Meiqin Che; Zhaohui Xue
Journal:  Sci Rep       Date:  2017-01-12       Impact factor: 4.379

5.  Variation in Tree Species Ability to Capture and Retain Airborne Fine Particulate Matter (PM2.5).

Authors:  Lixin Chen; Chenming Liu; Lu Zhang; Rui Zou; Zhiqiang Zhang
Journal:  Sci Rep       Date:  2017-06-09       Impact factor: 4.379

6.  Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning.

Authors:  Qijiao Xie; Qi Sun
Journal:  Int J Environ Res Public Health       Date:  2021-01-28       Impact factor: 3.390

7.  Interaction between residential greenness and air pollution mortality: analysis of the Chinese Longitudinal Healthy Longevity Survey.

Authors:  John S Ji; Anna Zhu; Yuebin Lv; Xiaoming Shi
Journal:  Lancet Planet Health       Date:  2020-03

8.  Community Health Risk Assessment of Total Suspended Particulates near a Cement Plant in Maros Regency, Indonesia.

Authors:  Annisa Utami Rauf; Anwar Mallongi; Anwar Daud; Muhammad Hatta; Wesam Al-Madhoun; Ridwan Amiruddin; Stang Abdul Rahman; Atjo Wahyu; Ratna Dwi Puji Astuti
Journal:  J Health Pollut       Date:  2021-06-17
  8 in total

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