The influence of roadside trees on the diffusion of road traffic pollutants and their magnetic characteristics in a typical semi-arid urban area of Northwest China

Chen, Hong; Bo, Wang; Xia, Dunsheng; Fan, Yijiao; Liu, Hui; Tang, Zhi-rong; Ma, Shan

doi:10.1016/j.envpol.2019.06.023

Cited by 17 publications

(13 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, (Hofman et al, 2013) found the SIRM of the leaves of Platanus×acerifolia decreased with increasing sampling height in a street canyon in Ghent (Belgium). (Chen et al, 2019) found that more particles were retained by the leaves of Juniperus formosana below the height of 3.4 m than above that height in an open road environment in Lanzhou, and the SIRM of leafdeposited particles was lower at the heights of 3.6-5.4 m than below 3.4 m, possibly because the leaves at lower position are more in uenced by dust suspension caused by vehicle tra c or other human activities. In addition, large particles are less likely to be transported su ciently high above the ground surface to be deposited on leaves.…”

Section: Differences In Leaf-deposited Particles Between Plant Speciesmentioning

confidence: 92%

“…Environmental magnetism, especially measurements of saturation isothermal remanent magnetization (SIRM), is widely used for monitoring of PM pollution (Baldacchini et al, 2017;Castanheiro et al, 2016;Chen et al, 2019;Hofman et al, 2016), which is present as leaf-deposited and leaf-encapsulated particles in vegetation (Jouraeva et al, 2002;Popek et al, 2013). However, previous studies have shown that there are signi cant inter-species differences in the e ciency of PM removal by plant leaves because of differences in vegetation type (Islam et al, 2012) and leaf morphology (Shao et al, 2019;Wang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pollution monitoring using the leaf-deposited particulates and magnetism of the leaves of 23 plant species in a semi-arid city, Northwest China

Chen

Xia

Wang

et al. 2022

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

We conducted a study of the leaf-deposited particles and magnetism of plant leaves in different functional areas (tra c areas, parks and residential areas) in Lanzhou, China. The saturation isothermal remanence (SIRM) of the washed and unwashed leaves of 23 plant species (including evergreen shrubs, deciduous shrubs, deciduous liana species and deciduous trees) at three sampling heights (0.5 m, 1.5 m and 2.5 m) was measured. In addition, the mass of the leaf-deposited particles was measured using the elution-ltration method and the leaf morphological characteristics were determined by scanning electronic microscope (SEM) analysis. The results revealed signi cant differences in particles retention capacity among the 23 plant species, with evergreen shrub species at the heights of 0.5 m and 1.5 m having higher particles concentrations. Buxus sinica, Buxus megistophylla, Prunus cerasifera and Ligustrum×vicaryi were the most effective plant species for accumulating particles. The SEM results showed that leaves with a relatively complex adaxial surface (such as deep grooves and protrusions)were more effective at accumulating particles. The SIRM of washed leaves, unwashed leaves and leafdeposited particles were signi cantly higher in tra c areas than in parks and residential areas. In addition, signi cant correlations were found between SIRM of unwashed leaves and leaf-deposited particles and the mass of leaf-deposited particles, and therefore the leaf magnetic properties effectively re ect levels of PM pollution under different environmental conditions. Overall, our results provide a valuable reference for the selection of plant species with high particle retention capacity that suitable for urban greening and pollution mitigation.

show abstract

Section: Differences In Leaf-deposited Particles Between Plant Speciesmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Pollution monitoring using the leaf-deposited particulates and magnetism of the leaves of 23 plant species in a semi-arid city, Northwest China

Chen

Xia

Wang

et al. 2022

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…Urban forest has been highlighted to offer a mitigation potential to improve air quality (Pataki et al, 2021;Ren et al, 2021) and is the focus of current attention with regard to scaling down pollution. It regulates air pollutant concentrations through various processes such as dispersion, absorption, and deposition (Chen et al, 2019;Santiago and Rivas, 2021). It also removes air pollutants from the atmosphere through stomatal absorption, and the interception at tree canopies and surfaces (Abhijith et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Vertical evaluation of air quality improvement by urban forest using unmanned aerial vehicles

et al. 2022

View full text Add to dashboard Cite

Urban forest is considered an effective strategy for mitigating urban air pollution via deposition, absorption and dispersion processes. However, previous studies had focused mainly on the deposition effect or removal capacity near the ground, while the net effect of the urban forest on air quality is rarely evaluated in the vertical dimension. In this study, PM2.5 (particulate matter with diameter less than 2.5), PM10 (particulate matter with diameter less than 10 μm), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) concentrations, air temperature, relative humidity, and atmospheric pressure at 0, 2.5, 5, 10, 15, 20, 30, 40, 60, 80, and 100 m in urban forest, street, and community areas were collected by unmanned aerial vehicles (UAVs) equipped with Sniffer4D V2 on overcast and sunny days. The PM, CO, NO2, and O3 concentrations increased with height below 20 m and then slightly decreased with height on an overcast day, whereas SO2 concentrations decreased with height within 20 m. The urban forest increased PM concentrations in the morning of an overcast day, whereas it decreased PM concentrations in the afternoon of the overcast day. The forest obstructed PM dispersion from the canopy when PM concentrations grew lower in the morning, but it hindered PM from deposition when PM concentrations grew higher in the afternoon.

show abstract

“…As one of the most important aspects of such efforts, urban vegetation plays a crucial role in optimizing the urban environment by regulating the microclimate, reducing noise and mitigating particulate matter (PM) pollution (Baldauf, 2017). The bene ts of vegetation have been demonstrated studies using model simulations (Gromke and Ruck, 2009 Environmental magnetism, especially measurements of saturation isothermal remanent magnetization (SIRM), is widely used for monitoring of PM pollution (Baldacchini et al, 2017;Castanheiro et al, 2016;Chen et al, 2019;Hofman et al, 2016), which is present as leaf-deposited and leaf-encapsulated particles in vegetation (Jouraeva et al, 2002;Popek et al, 2013). However, previous studies have shown that there are signi cant inter-species differences in the e ciency of PM removal by plant leaves because of differences in vegetation type (Islam et al, 2012) and leaf morphology (Shao et al, 2019;Wang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Pollution Monitoring using the Leaf-deposited Particulates and Magnetism of the Leaves of 23 Plant Species in a Semi-arid City, Northwest China

Chen

Xia

Wang

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

We conducted a study of the leaf-deposited particles and magnetism of plant leaves in different functional areas (traffic areas, parks and residential areas) in Lanzhou, China. The saturation isothermal remanence (SIRM) of the washed and unwashed leaves of 23 plant species (including evergreen shrubs, deciduous shrubs, deciduous liana species and deciduous trees) at three sampling heights (0.5 m, 1.5 m and 2.5 m) was measured. In addition, the mass of the leaf-deposited particles was measured using the elution-filtration method and the leaf morphological characteristics were determined by scanning electronic microscope (SEM) analysis. The results revealed significant differences in particles retention capacity among the 23 plant species, with evergreen shrub species at the heights of 0.5 m and 1.5 m having higher particles concentrations. Buxus sinica, Buxus megistophylla, Prunus cerasifera and Ligustrum×vicaryi were the most effective plant species for accumulating particles. The SEM results showed that leaves with a relatively complex adaxial surface (such as deep grooves and protrusions) were more effective at accumulating particles. The SIRM of washed leaves, unwashed leaves and leaf-deposited particles were significantly higher in traffic areas than in parks and residential areas. In addition, significant correlations were found between SIRM of unwashed leaves and leaf-deposited particles and the mass of leaf-deposited particles, and therefore the leaf magnetic properties effectively reflect levels of PM pollution under different environmental conditions. Overall, our results provide a valuable reference for the selection of plant species with high particle retention capacity that suitable for urban greening and pollution mitigation.

show abstract

The influence of roadside trees on the diffusion of road traffic pollutants and their magnetic characteristics in a typical semi-arid urban area of Northwest China

Cited by 17 publications

References 50 publications

Pollution monitoring using the leaf-deposited particulates and magnetism of the leaves of 23 plant species in a semi-arid city, Northwest China

Pollution monitoring using the leaf-deposited particulates and magnetism of the leaves of 23 plant species in a semi-arid city, Northwest China

Vertical evaluation of air quality improvement by urban forest using unmanned aerial vehicles

Pollution Monitoring using the Leaf-deposited Particulates and Magnetism of the Leaves of 23 Plant Species in a Semi-arid City, Northwest China

Contact Info

Product

Resources

About