A CFD study on the effectiveness of trees to disperse road traffic emissions at a city scale
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1482
- Type
- D - Journal article
- DOI
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10.1016/j.atmosenv.2015.08.003
- Title of journal
- Atmospheric Environment
- Article number
- -
- First page
- 1
- Volume
- 120
- Issue
- -
- ISSN
- 1352-2310
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
https://doi.org/10.1016/j.atmosenv.2015.08.003
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This numerical study demonstrates that trees can reduce traffic pollutant emission concentrations by 7% at pedestrian level in the urban environment, pointing to the viability of regional-level planning for emissions reductions. This paper has informed UK policy on air pollution (https://www.nice.org.uk/guidance/ng70/evidence/economic-report-pdf-4595574493). The modelling methodology developed in this study has been commercially exploited through EarthSense, a University of Leicester spinout company. The output is included in highly-cited reviews of the subject (e.g. Abhijith et al 2017, Atmospheric Environment FWCI 9.1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -