The effects of trees on micrometeorology in a real street canyon: consequences for local air quality

Sabatino, Silvana Di; Buccolieri, Riccardo; Pappaccogli, Gianluca; Leo, Laura S.

doi:10.1504/ijep.2015.076587

Cited by 36 publications

(20 citation statements)

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“…Moreover, many other local effects, such as pollution deposition, emission of VOCs by trees, or vehicle wakes, were not considered in the presented studies [85,95]. Similarly, the heat trapping mechanism of trees is not accounted for in the majority of the studies, which can lead to underestimation of the near-ground air pollution concentration levels [93]. However, investigating the impact of the infrastructural and vegetation design on local air flow is very important and may provide valuable suggestions for a particular case study, for example, regarding the most advantageous vegetation scenario for prevalent local winds [85,92].…”

Section: Local-scale Studiesmentioning

confidence: 98%

“…Computational fluid dynamics (CFD) simulations with established, previously validated models or models validated against data from previous studies or existing databases [9,77,79,[85][86][87][88][89][90][91] CFD simulations and on-site air quality measurements, or measurements of pollution deposition on plant samples using laboratory techniques or wind tunnel experiments [78,92,93] CFD simulations coupled with photochemical equations for NO X , and O 3 transport [94] Coupled CFD-Lagrangian stochastic model (CFD-LSM) simulations [95] Parallelized Large-Eddy Simulation Model (PALM) with embedded Lagrangian stochastic particle model (LPM) simulations [96] In the studies accounting for the aerodynamic effects, the local or neighbourhood scale was applied (see Table 4). At the local scale, street canyons were mainly investigated, using either idealised 2D [78,92] or 3D street canyon geometries [83,85,89,90,95] or more realistic street canyon models based on existing geometries [93]. Idealised urban blocks, consisting of an array of buildings with several street canyons [87,88,94], were also used as a computational domain.…”

Section: Semi-empirical (Operational) Air Quality Modelsmentioning

confidence: 99%

“…The above-described effects depended on many factors, one of which was the applied wind direction, with different results observed for winds parallel or perpendicular to the street canyon geometry [83,92,93,95]. Another factor was the structure of vegetation, including its geometry, height, and porosity [91,95].…”

Section: Local-scale Studiesmentioning

confidence: 99%

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Urban Vegetation in Air Quality Management: A Review and Policy Framework

2020

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Recent episodes of high air pollution concentration levels in many Polish cities indicate the urgent need for policy change and for the integration of various aspects of urban development into a common platform for local air quality management. In this article, the focus was placed on the prospects of improving urban air quality through proper design and protection of vegetation systems within local spatial planning strategies. Recent studies regarding the mitigation of air pollution by urban greenery due to deposition and aerodynamic effects were reviewed, with special attention given to the design guidelines resulting from these studies and their applicability in the process of urban planning. The conclusions drawn from the review were used to conduct three case studies: in Gdańsk, Warsaw, and Poznań, Poland. The existing local urban planning regulations for the management of urban greenery were critically evaluated in relation to the findings of the review. The results indicate that the current knowledge regarding the improvement of urban air quality by vegetation is not applied in the process of urban planning to a sufficient degree. Some recommendations for alternative provisions were discussed.

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Section: Local-scale Studiesmentioning

confidence: 98%

Section: Semi-empirical (Operational) Air Quality Modelsmentioning

confidence: 99%

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Urban Vegetation in Air Quality Management: A Review and Policy Framework

2020

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“…In what relates to the influence of plant canopies on atmospheric wind environment, the analysis has been carried out. Trees are known to reduce temperature, increase humidity, prevent wind and dust, cause particle deposition (Vos et al, 2013;Jeanjean et al, 2017;Buccolieri et al, 2018), as well as resuspension (Nowak et al, 2013;Hong et al, 2018), canopy transpiration (Hagishima et al, 2007), and create shadow effects (Sabatino et al, 2015). They also reduce energy consumption and alleviate air pollution notably (Gallagher et al, 2015;Gromke et al, 2016;Li et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Study on Dispersion of Carbon Dioxide over the Shrubbery Region

2021

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In the carbon capture and storage (CCS) infrastructure, the risk of a high-pressure buried pipeline rupture possibly leads to catastrophic accidents due to the release of tremendous amounts of carbon dioxide (CO2). Therefore, a comprehensive understanding of the effects of CO2 dispersion pattern after release from CCS facilities is essential to allow the appropriate safety precautions to be taken. Due to variations in topography above the pipeline, the pattern of CO2 dispersion tends to be affected by the real terrain features, such as trees and hills. However, in most previous studies, the dynamic impact of trees on the wind field was often approximated to linear treatment or even ignored. In this article, a computational fluid dynamics (CFD) model was proposed to predict CO2 dispersion over shrubbery areas. The shrubs were regarded as a kind of porous media, and the model was validated against the results from experiment. It was found that shrubbery affected the flow field near the ground, enhancing the lateral dispersion of CO2. Compared with that of the shrub-free terrain, the coverage area of the three shrub terrains at 60 s increased by 8.1 times, 6.7 times, and 9.1 times, respectively. The influence of shrub height and porosity on CO2 dispersion is nonlinear. This research provides reliable data for the risk assessment of CCS.

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“…For the motion of fine pollutant particles, experiments (including field measurements and wind tunnel tests), and mathematical methods, have been widely used to evaluate the pollutant dispersion [6][7][8]. Cui et al [9] conducted the on-site investigation of the effect of U-type street canyon on air pollutants dilution.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Haze-Fog Particle Dispersion in the Typical Urban Community by Using Discrete Phase Model

Zhu

Wei

et al. 2020

Atmosphere

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The haze-fog particle dispersion in urban communities will cause serious health and environmental problems, which has aroused society attention. The aim of the present investigation is to reveal the underlying mechanisms of haze-fog particle dispersion via Computational Fluid Dynamics (CFD) method, and then to provide a groundwork for the optimal spatial arrangement of urban architecture. The Delayed Detached-eddy Simulation turbulence model (DDES) and Discrete Phase Model (DPM) are utilized to investigate the wind flow distribution and the particle dispersion around the building group. The numerical results show that the particle dispersion is dominated by the incoming wind flow, the layout of architectural space and the type and distribution of vortex. The ‘single body’ wake pattern and the vortex impingement wake pattern are identified in the wind flow field, which have different effects on the distribution of haze-fog particle. The cavity formed by the layout of the building group induces primary vortex and secondary vortex, which will make it more difficult for the particles entering the square cavity to flow out. Moreover, the concentration of the particle in the rear of the buildings is relatively low due the effect of attached vortices.

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The effects of trees on micrometeorology in a real street canyon: consequences for local air quality

Cited by 36 publications

References 0 publications

Urban Vegetation in Air Quality Management: A Review and Policy Framework

Urban Vegetation in Air Quality Management: A Review and Policy Framework

Study on Dispersion of Carbon Dioxide over the Shrubbery Region

Numerical Simulation of Haze-Fog Particle Dispersion in the Typical Urban Community by Using Discrete Phase Model

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