Abstract
Numerical experiments involving street canyons of varying aspect ratio with traffic-induced pollutants (PM2.5) and implanted trees of varying aspect ratio, leaf area index, leaf area density distribution, trunk height, tree-covered area, and tree planting pattern under different wind conditions were conducted using a computational fluid dynamics (CFD) model, ENVI-met. Various aspects of dispersion and deposition were investigated, which include the influence of various tree configurations and wind condition on dispersion within the street canyon, pollutant mass at the free stream layer and street canyon, and comparison between mass removal by surface (leaf) deposition and mass enhancement due to the presence of trees. Results revealed that concentration level was enhanced especially within pedestrian level in street canyons with trees relative to their tree-free counterparts. Additionally, we found a dependence of the magnitude of concentration increase (within pedestrian level) and decrease (above pedestrian level) due to tree configuration and wind condition. Furthermore, we realized that only ∼0.1–3 % of PM2.5 was dispersed to the free stream layer while a larger percentage (∼97 %) remained in the canyon, regardless of its aspect ratio, prevailing wind condition, and either tree-free or with tree (of various configuration). Lastly, results indicate that pollutant removal due to deposition on leaf surfaces is potentially sufficient to counterbalance the enhancement of PM2.5 by such trees under some tree planting scenarios and wind conditions
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Notes
LAI is the ratio of total leaf surface area to total ground area for an area with vegetation cover. It is a function of plant configuration such as shape, height, leaf density, and height of the crown
LAD defined as the “total one-sided leaf area (m2) per unit layer volume (m3) in each horizontal layer of the tree crown” in parameterization of vegetation
References
Abhijith KV, Gokhale S (2015) Passive control potentials of trees and on-street parked cars in reduction of air pollution exposure in urban street canyons. Environ Pollut 204:99–108. doi:10.1016/j.envpol.2015.04.013
Beckett KP, Freer-Smith PH, Taylor G (1998) Urban woodlands: their role in reducing the effects of particulate pollution. Environ Pollut 99:347–360
Brantley HL, Hagler GSW, Deshmukh PJ, Baldauf RW (2014) Field assessment of the effects of roadside vegetation on near-road black carbon and particulate matter. Sci Total Environ 468–469:120–129. doi:10.1016/j.scitotenv.2013.08.001
Bruse M (2007) ENVI-met implementation of the gas / particle dispersion and deposition model PDDM. 1–7
Bruse M, Fleer H (1998) Simulating surface-plant-air interactions inside urban environments with a three dimensional numerical model. Environ Model Softw 13:373–384. doi:10.1016/S1364-8152(98)00042-5
Chang JC, Hanna SR (2004) Air quality model performance evaluation. Meteorog Atmos Phys 87:167–196. doi:10.1007/s00703-003-0070-7
Gromke C, Ruck B (2009) On the impact of trees on dispersion processes of traffic emissions in street canyons. Bound-Layer Meteorol 131:19–34. doi:10.1007/s10546-008-9301-2
Gromke C, Ruck B (2012) Pollutant concentrations in street canyons of different aspect ratio with avenues of trees for various wind directions. Bound-Layer Meteorol 144:41–64. doi:10.1007/s10546-012-9703-z
Gromke C, Buccolieri R, Di Sabatino S, Ruck B (2008) Dispersion study in a street canyon with tree planting by means of wind tunnel and numerical investigations - evaluation of CFD data with experimental data. Atmos Environ 42:8640–8650. doi:10.1016/j.atmosenv.2008.08.019
Gu ZL, Zhang YW, Cheng Y, Lee SC (2011) Effect of uneven building layout on air flow and pollutant dispersion in non-uniform street canyons. Build Environ 46:2657–2665. doi:10.1016/j.buildenv.2011.06.028
HEI (2010) Traffic-related air pollution: a critical review of the literature on emissions, exposure, and health effects
Hofman J, Samson R (2014) Biomagnetic monitoring as a validation tool for local air quality models: a case study for an urban street canyon. Environ Int 70:50–61. doi:10.1016/j.envint.2014.05.007
Hong Kong Transport Department (2013) The annual traffic census 2013. Retrieved from http://www.td.gov.hk/en/publications_and_press_releases/publications/free_publications/the_annual_traffic_census_2013/index.html
Jin S, Guo J, Wheeler S et al (2014) Evaluation of impacts of trees on PM2.5 dispersion in urban streets. Atmos Environ 99:277–287. doi:10.1016/j.atmosenv.2014.10.002
Kelly FJ, Fussell JC (2012) Size, source and chemical composition as determinants of toxicity attributable to ambient particulate matter. Atmos Environ 60:504–526. doi:10.1016/j.atmosenv.2012.06.039
Kim JJ, Baik JJ (2004) A numerical study of the effects of ambient wind direction on flow and dispersion in urban street canyons using the RNG k-ϵ turbulence model. Atmos Environ 38:3039–3048. doi:10.1016/j.atmosenv.2004.02.047
Kleeman MJ, Schauer JJ, Cass GR (2000) Size and composition distribution of fine particulate matter emitted from motor vehicles. Environ Sci Technol 34:1132–1142. doi:10.1021/es981276y
Litschke T, Kuttler W (2008) On the reduction of urban particle concentration by vegetation – a review. Meteorol Z 17:229–240. doi:10.1127/0941-2948/2008/0284
Liu C-H, Barth MC (2002) Large-eddy simulation of flow and scalar transport in a modeled street canyon. J Appl Meteorol 41:660–673
Morakinyo TE, Lam YF (2015) Simulation study of dispersion and removal of particulate matter from traffic by road-side vegetation barrier. Environ Sci Pollut Res 23:6709–6722. doi:10.1007/s11356-015-5839-y, 1-14
Morakinyo TE, Lam YF (2016) Simulation study on the impact of tree-configuration, planting pattern and wind condition on street-canyon’s micro-climate and thermal comfort. Build Environ 103:262–275. doi:10.1016/j.buildenv.2016.04.025
Ng E (2009) Policies and technical guidelines for urban planning of high-density cities - air ventilation assessment (AVA) of Hong Kong. Build Environ 44:1478–1488. doi:10.1016/j.buildenv.2008.06.013
Nikolova I, Janssen S, Vos P et al (2011) Dispersion modelling of traffic induced ultrafine particles in a street canyon in Antwerp, Belgium and comparison with observations. Sci Total Environ 412–413:336–343. doi:10.1016/j.scitotenv.2011.09.081
Nowak DJ, Crane DE, Stevens JC, Ibarra M (2002) Brooklyn’ s urban forest. 107
Ould-Dada Z, Baghini NM (2001) Resuspension of small particles from tree surfaces. Atmos Environ 35:3799–3809. doi:10.1016/S1352-2310(01)00161-3
Petroff A, Zhang L (2010) Development and validation of a size-resolved particle dry deposition scheme for application in aerosol transport models. Geosci Model Dev 3:753–769. doi:10.5194/gmd-3-753-2010
Pugh TAM, Mackenzie AR, Whyatt JD, Hewitt CN (2012) Effectiveness of green infrastructure for improvement of air quality in urban street canyons. Environ Sci Technol 46:7692–7699. doi:10.1021/es300826w
Ries K, Eichhorn J (2001) Simulation of effects of vegetation on the dispersion of pollutants in street canyons. Meteorol Z 10:229–233
Salmond JA, Williams DE, Laing G et al (2013) The influence of vegetation on the horizontal and vertical distribution of pollutants in a street canyon. Sci Total Environ 443:287–298. doi:10.1016/j.scitotenv.2012.10.101
Song Y, Maher BA, Li F et al (2015) Particulate matter deposited on leaf of five evergreen species in Beijing, China: source identification and size distribution. Atmos Environ 105:53–60. doi:10.1016/j.atmosenv.2015.01.032
Tominaga Y, Stathopoulos T (2011) CFD modeling of pollution dispersion in a street canyon: Comparison between LES and RANS. J Wind Eng Ind Aerodyn 99:340–348. doi:10.1016/j.jweia.2010.12.005
Vos PEJ, Maiheu B, Vankerkom J, Janssen S (2013) Improving local air quality in cities: to tree or not to tree? Environ Pollut 183:113–122. doi:10.1016/j.envpol.2012.10.021
Wang Y, Zacharias J (2015) Landscape modification for ambient environmental improvement in central business districts – a case from Beijing. Urban For Urban Green 14:8–18. doi:10.1016/j.ufug.2014.11.005
Wania A, Bruse M, Blond N, Weber C (2012) Analysing the influence of different street vegetation on traffic-induced particle dispersion using microscale simulations. J Environ Manage 94:91–101. doi:10.1016/j.jenvman.2011.06.036
Yassin MF, Kassem MA (2014) Effect of building orientations on gaseous dispersion in street canyon: a numerical study. Environ Model Assess 19:335–344. doi:10.1007/s10666-013-9389-8
Acknowledgments
The work described in this paper was jointly supported by the Guy Carpenter Asia-Pacific Climate Impact Centre, City University of Hong Kong (Project No. 9360126) and the Research Studentship of City University of Hong Kong. The authors also gratefully acknowledge the Laboratory of Building and Environmental Aerodynamics at the University of Karlsruhe/Germany for the provision of CODASC data used in this publication.
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Morakinyo, T.E., Lam, Y.F. Study of traffic-related pollutant removal from street canyon with trees: dispersion and deposition perspective. Environ Sci Pollut Res 23, 21652–21668 (2016). https://doi.org/10.1007/s11356-016-7322-9
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DOI: https://doi.org/10.1007/s11356-016-7322-9