2019
DOI: 10.1016/j.atmosenv.2018.12.036
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Field investigations for evaluating green infrastructure effects on air quality in open-road conditions

Abstract: Many people live, work and spend time during their commute in near-road environments (<50 m) where pollutant concentrations usually remain high. We investigated the influence of roadside green infrastructure (GI) on concentrations of particulate matter ≤10 µm (PM10), ≤2.5 µm (PM2.5), ≤1 µm (PM1), black carbon (BC) and particle number concentrations (PNC) under three GI configurations-(i) hedges only, (ii) trees only, and (iii) a mix of trees and *

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Cited by 134 publications
(73 citation statements)
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“…Tong et al 55 found that wide vegetation barriers with a high LAD, as well as vegetation-solid barrier combinations, significantly reduced downwind particle concentrations. However, results from these studies 32,55 suggest variation in concentration reduction efficiencies between particle sizes, which substantiates the conclusion by Steffens et al 97 that although reductions generally increase with the LAD of a barrier, the responses are non-linear. Similarly, based upon results from various studies, Abhijith et al 20 found that an optimal shelterbelt porosity may lie within the range of 20-40% for TSP and 10-20% for PM 10 , implying that optimal porosity is partly determined by target pollutant.…”
Section: Density and Porositysupporting
confidence: 83%
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“…Tong et al 55 found that wide vegetation barriers with a high LAD, as well as vegetation-solid barrier combinations, significantly reduced downwind particle concentrations. However, results from these studies 32,55 suggest variation in concentration reduction efficiencies between particle sizes, which substantiates the conclusion by Steffens et al 97 that although reductions generally increase with the LAD of a barrier, the responses are non-linear. Similarly, based upon results from various studies, Abhijith et al 20 found that an optimal shelterbelt porosity may lie within the range of 20-40% for TSP and 10-20% for PM 10 , implying that optimal porosity is partly determined by target pollutant.…”
Section: Density and Porositysupporting
confidence: 83%
“…Further research into the influences of individual plant traits on sub-micrometre PM and individual gaseous pollutant concentrations is highly recommended. However, empirical evidence from field experiments to date supports the generalisation drawn above that dry deposition to GI is influenced by specific traits, or inherited biophysical characteristics, the most significant of which concern leaf surface area and leaf properties or functions 32,36,[88][89][90] . As mentioned, generic recommendations regarding plant selection for pollution (particularly PM) abatement are provided by previous works (e.g.…”
Section: Vegetation Traits For Enhanced Pollutant Depositionmentioning
confidence: 79%
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