Literature DB >> 23735814

Effects of species-specific leaf characteristics and reduced water availability on fine particle capture efficiency of trees.

Janne V Räsänen1, Toini Holopainen, Jorma Joutsensaari, Collins Ndam, Pertti Pasanen, Åsmund Rinnan, Minna Kivimäenpää.   

Abstract

Trees can improve air quality by capturing particles in their foliage. We determined the particle capture efficiencies of coniferous Pinus sylvestris and three broadleaved species: Betula pendula, Betula pubescens and Tilia vulgaris in a wind tunnel using NaCl particles. The importance of leaf surface structure, physiology and moderate soil drought on the particle capture efficiencies of the trees were determined. The results confirm earlier findings of more efficient particle capture by conifers compared to broadleaved plants. The particle capture efficiency of P. sylvestris (0.21%) was significantly higher than those of B. pubescens, T. vulgaris and B. pendula (0.083%, 0.047%, 0.043%, respectively). The small leaf size of P. sylvestris was the major characteristic that increased particle capture. Among the broadleaved species, low leaf wettability, low stomatal density and leaf hairiness increased particle capture. Moderate soil drought tended to increase particle capture efficiency of P. sylvestris.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Capture efficiency; Fine particles; Moderate drought; Trees; Wind tunnel

Mesh:

Substances:

Year:  2013        PMID: 23735814     DOI: 10.1016/j.envpol.2013.05.015

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


  12 in total

1.  Effect of epicuticular wax crystals on the localization of artificially deposited sub-micron carbon-based aerosols on needles of Cryptomeria japonica.

Authors:  Satoshi Nakaba; Kenichi Yamane; Mie Fukahori; Widyanto Dwi Nugroho; Masahiro Yamaguchi; Katsushi Kuroda; Yuzou Sano; I Wuled Lenggoro; Takeshi Izuta; Ryo Funada
Journal:  J Plant Res       Date:  2016-06-13       Impact factor: 2.629

Review 2.  Eco-Health linkages: assessing the role of ecosystem goods and services on human health using causal criteria analysis.

Authors:  Rebeca de Jesus Crespo; Richard Fulford
Journal:  Int J Public Health       Date:  2017-08-01       Impact factor: 3.380

3.  Comparing i-Tree Eco Estimates of Particulate Matter Deposition with Leaf and Canopy Measurements in an Urban Mediterranean Holm Oak Forest.

Authors:  Rocco Pace; Gabriele Guidolotti; Chiara Baldacchini; Emanuele Pallozzi; Rüdiger Grote; David J Nowak; Carlo Calfapietra
Journal:  Environ Sci Technol       Date:  2021-04-28       Impact factor: 11.357

4.  Effects of weather, time, and pollution level on the amount of particulate matter deposited on leaves of Ligustrum lucidum.

Authors:  Huixia Wang; Hui Shi; Yanhui Wang
Journal:  ScientificWorldJournal       Date:  2015-01-01

5.  Quantifying PM2.5 capture capability of greening trees based on leaf factors analyzing.

Authors:  Dan Liang; Chao Ma; Yun-Qi Wang; Yu-Jie Wang; Zhao Chen-Xi
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-19       Impact factor: 4.223

6.  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

7.  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

8.  Indoor simulations reveal differences among plant species in capturing particulate matter.

Authors:  Jungang Chen; Xinxiao Yu; Huaxing Bi; Yanlin Fu
Journal:  PLoS One       Date:  2017-05-16       Impact factor: 3.240

9.  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.  Potential of Thirteen Urban Greening Plants to Capture Particulate Matter on Leaf Surfaces across Three Levels of Ambient Atmospheric Pollution.

Authors:  Yanmei Li; Shaojun Wang; Qibo Chen
Journal:  Int J Environ Res Public Health       Date:  2019-01-31       Impact factor: 3.390

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