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Estimating the removal of atmospheric particulate pollution by the urban tree canopy of London, under current and future environments
Open accessAbstract
Abstract Urban green space and particularly the tree canopy have been highlighted as offering a mitigation potential against atmospheric particulate pollution. In this paper current and future particulate (PM 10 ) deposition to the urban tree canopy of the Greater London Authority (GLA) was estimated. A modelling approach was used based on the Urban Forest Effects Model (UFORE) and a modified version. Here we give evidence showing that these deposition models can be adapted to run from annual mean meteorological and PM 10 concentration data, thus providing a methodology to examine future scenarios. Depending on the modelling approach, the urban canopy of the GLA is currently estimated to remove between 852 and 2121 tonnes of PM 10 annually; representing between 0.7% and 1.4% of PM 10 from the urban boundary layer. Estimates of PM 10 removal which take into account a planned increased in tree cover, from the current 20% to 30% of the GLA land area, suggest deposition of 1109–2379 tonnes (1.1–2.6% removal) by the year 2050. The evidence provided here suggests that the targeting of tree planting in the most polluted areas of the GLA and particularly the use of street trees which have the greatest exposure to PM 10 , would have the greatest benefit to future air quality. The increased deposition would be greatest if a larger proportion of coniferous to broadleaved trees were used at such sites.
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Citations
Cited by
Hartig, T., Mitchell, R., de Vries, S., & Frumkin, H. (2014) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032013-182443 · Cited by 3,638
Haaland, C., & van den Bosch, C. K. (2015) · Urban Forestry & Urban Greening · doi:10.1016/j.ufug.2015.07.009 · Cited by 1,585
Roy, S., Byrne, J., & Pickering, C. (2012) · Urban Forestry & Urban Greening · doi:10.1016/j.ufug.2012.06.006 · Cited by 1,049
Effectiveness of Green Infrastructure for Improvement of Air Quality in Urban Street Canyons
Pugh, T. A. M., MacKenzie, A. R., Whyatt, J. D., & Hewitt, C. N. (2012) · Environmental Science & Technology · doi:10.1021/es300826w · Cited by 666
Nesbitt, L., Meitner, M. J., Girling, C., Sheppard, S. R. J., & Lu, Y. (2019) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2018.08.007 · Cited by 612
Metadata
- Authors
- Tallis, M., Taylor, G., Sinnett, D., & Freer-Smith, P.
- Venue
- Landscape and Urban Planning
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 103
- Issue
- 2
- Pages
- 129-138
- ISSN
- 0169-2046 (ISSN-L)
- OpenAlex
- W2065536826
- Cited by
- 480
- References
- 0
- FWCI
- 42.33
- Type
- journal article
- Language
- en
- Open access
- green
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- Tallis, M., Taylor, G., Sinnett, D., & Freer-Smith, P. (2011). Estimating the removal of atmospheric particulate pollution by the urban tree canopy of London, under current and future environments. Landscape and Urban Planning. https://doi.org/10.1016/j.landurbplan.2011.07.003
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.