2019
DOI: 10.1016/j.envpol.2019.01.016
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Urban vegetation and particle air pollution: Experimental campaigns in a traffic hotspot

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Cited by 48 publications
(27 citation statements)
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“…In Spain, a recent study was aiming at understanding the micro scale spatio-temporal variation of ambient concentration levels in areas with high pollution values to study the effect of urban trees on particulate matter concentrations. Results of this study showed a reduction in the concentrations of PM 10 and PM 2.5 and black carbon with considerable percents (50%, 50% and 20%, respectively) [31]. The study that had been conducted in five Dutch cities to investigate air pollution at street level before and after implementation of local traffic policies including low emission zones (LEZ), revealed that all pollutant concentrations were lower in 2010 than in 2008 [16].…”
Section: Discussionmentioning
confidence: 80%
“…In Spain, a recent study was aiming at understanding the micro scale spatio-temporal variation of ambient concentration levels in areas with high pollution values to study the effect of urban trees on particulate matter concentrations. Results of this study showed a reduction in the concentrations of PM 10 and PM 2.5 and black carbon with considerable percents (50%, 50% and 20%, respectively) [31]. The study that had been conducted in five Dutch cities to investigate air pollution at street level before and after implementation of local traffic policies including low emission zones (LEZ), revealed that all pollutant concentrations were lower in 2010 than in 2008 [16].…”
Section: Discussionmentioning
confidence: 80%
“…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%
“…At the micro-scale level, single elements of the geometry of the urban canopy layer were investigated, such as buildings or building complexes, street canyons, roads, or urban parks. In particular, vegetation around building complexes [15], near-road locations [14,19,21,23,24,[26][27][28]34,75,76], urban green spaces [16,22,44,63], or green roofs [17,29] were considered. The studies at the neighbourhood scale, in which several urban blocks or large open urban areas were considered, or at the city scale, which included the area of the entire municipality, were less common.…”
Section: Semi-empirical (Operational) Air Quality Modelsmentioning
confidence: 99%
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“…At the same time, during the two experimental campaigns, the traffic volumes and composition were recorded using the DJI M200 UAV with high definition camera and infrared camera and then manually counted (Figure 2d The same pollutants were measured at two experimental sites, including PNs of the six size segments (0-0.3 µm, 0.3-0.5 µm, 0.5-1 µm, 1-3 µm, 3-5 µm, and 5-10 µm), PMs of the three size segments (1 µm, 2.5 µm, and 10 µm), and BC (880 nm). To achieve the above monitoring objectives, the DustTrak DRX Aerosol Monitor 8534 [30] was used to measure the PMs, the TSI AeroTrak Handheld Particle Counter 9306 was used to measure the PNs [31,32], and the Magee Scientific microAeth Model AE51 was used to measure the BC [30]. The technical parameters of each instrument are shown in Table 1.…”
Section: Data Collectionmentioning
confidence: 99%