2018
DOI: 10.1016/j.atmosenv.2017.11.060
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Field evaluation of vegetation and noise barriers for mitigation of near-freeway air pollution under variable wind conditions

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Cited by 43 publications
(26 citation statements)
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“…Also, the concentration can be larger than that without the barrier if α is large enough. If we assume that vegetation can reduce turbulence levels, vegetation on top of a solid barrier can enhance the effect of the solid barrier by reducing entrainment of the pollutant into the wake of the solid barrier, as has been shown by Baldauf et al (2008) and Lee et al (2018). Figure 4 also highlights the potential for downwind pollutant reductions with thick, less porous vegetation, as pollutant concentrations behind the bushes and bush/tree combinations (Stops 2, 4, and 6) were lower for the normal wind conditions as compared to all wind conditions.…”
Section: Resultsmentioning
confidence: 94%
“…Also, the concentration can be larger than that without the barrier if α is large enough. If we assume that vegetation can reduce turbulence levels, vegetation on top of a solid barrier can enhance the effect of the solid barrier by reducing entrainment of the pollutant into the wake of the solid barrier, as has been shown by Baldauf et al (2008) and Lee et al (2018). Figure 4 also highlights the potential for downwind pollutant reductions with thick, less porous vegetation, as pollutant concentrations behind the bushes and bush/tree combinations (Stops 2, 4, and 6) were lower for the normal wind conditions as compared to all wind conditions.…”
Section: Resultsmentioning
confidence: 94%
“…A higher vegetation barrier density generally results in lower downwind concentrations of both PM 86,98,99 and gaseous pollutants 54,100 . However, CFD modelling undertaken by Ghasemian et al 54 found that a LAD of 3.33 m 2 /m 3 reduced downwind concentrations of roadway emissions (represented by a tracer gas) by 10%, whereas a LAD of 1 m 2 /m 3 increased downwind concentrations by 15%.…”
Section: Density and Porositymentioning
confidence: 99%
“…On-site air quality measurements, also if coupled with field vegetation inventories, and data analysis [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] On-site air quality measurements or soil sampling, measurements of pollution removal by means of laboratory techniques, including instrumental analysis on plant samples (e.g., microscopic analysis, spectroscopy, gravimetry, gas exchange measurements, wind tunnel experiments on leaves or branches etc.) and data analysis [31][32][33][34][35] Measurements of pollution removal by means of laboratory techniques, including instrumental analysis on plant samples and data analysis [11][12][13] Estimates of pollution removal by vegetation or statistical analysis based on field plant inventories or remote sensing data and existing literature/databases or air quality data [60][61][62][63][64][65][66] Modelling Approaches…”
Section: Field Measurements And/or Laboratory Analysismentioning
confidence: 99%