Airborne particulate matter accumulation on common green wall plants

Paull, NJ; Krix, D; Irga, PJ; Torpy, FR

Airborne particulate matter accumulation on common green wall plants

Paull, NJ Krix, D

Irga, PJ

Torpy, FR

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Publication Type:: Journal Article
Citation:: International Journal of Phytoremediation, 2019
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Paull, NJ	en_US
dc.contributor.author	Krix, D https://orcid.org/0000-0002-0733-1254	en_US
dc.contributor.author	Irga, PJ https://orcid.org/0000-0001-5952-0658	en_US
dc.contributor.author	Torpy, FR https://orcid.org/0000-0002-9137-6948	en_US
dc.date.available	2020-12-09T18:05:59Z
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	International Journal of Phytoremediation, 2019	en_US
dc.identifier.issn	1522-6514	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137208
dc.description.abstract	© 2019, © 2019 Taylor & Francis Group, LLC. In order to better design greening systems for effective particulate matter (PM) removal, it is important to understand the impact leaf traits have on PM deposition. There are however, inconsistences amongst the leaf traits that have previously been correlated with PM accumulation. The aim of this paper was to identify vegetation characteristics of green wall plants that were associated with the accumulation of particulate matter. To determine patterns associated with different leaf morphologies, eleven common ornamental plant species were sampled across 15 sites, over a 6 month duration. PM deposition was determined gravimetrically and its associated size fractions determined microscopically. Linear mixed models were used to identify statistical patterns relating to differences in PM deposition across plant species. PM deposition and the relative frequencies of particle size fractions were found to be statistically different among species, sites and months. Green wall plants were shown to be effective at PM accumulation as all of the assessed plant species had equivalent PM removal efficiency, with minimal evidence of influential leaf characteristics that could enhance PM removal.	en_US
dc.relation.ispartof	International Journal of Phytoremediation	en_US
dc.relation.isbasedon	10.1080/15226514.2019.1696744	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Environmental Sciences	en_US
dc.title	Airborne particulate matter accumulation on common green wall plants	en_US
dc.type	Journal Article
utslib.for	03 Chemical Sciences	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	06 Biological Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2019, © 2019 Taylor & Francis Group, LLC. In order to better design greening systems for effective particulate matter (PM) removal, it is important to understand the impact leaf traits have on PM deposition. There are however, inconsistences amongst the leaf traits that have previously been correlated with PM accumulation. The aim of this paper was to identify vegetation characteristics of green wall plants that were associated with the accumulation of particulate matter. To determine patterns associated with different leaf morphologies, eleven common ornamental plant species were sampled across 15 sites, over a 6 month duration. PM deposition was determined gravimetrically and its associated size fractions determined microscopically. Linear mixed models were used to identify statistical patterns relating to differences in PM deposition across plant species. PM deposition and the relative frequencies of particle size fractions were found to be statistically different among species, sites and months. Green wall plants were shown to be effective at PM accumulation as all of the assessed plant species had equivalent PM removal efficiency, with minimal evidence of influential leaf characteristics that could enhance PM removal.

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http://hdl.handle.net/10453/137208