Farren, Naomi J. orcid.org/0000-0002-5668-1648, Davison, Jack, Rose, Rebecca A. et al. (2 more authors) (2020) Underestimated Ammonia Emissions from Road Vehicles. Environmental Science and Technology. 15689–15697. ISSN: 1520-5851
Abstract
In this study, we use comprehensive vehicle emission remote sensing measurements of over 230,000 passenger cars to estimate total UK ammonia (NH3) emissions. Estimates are made using "top-down"and "bottom-up"methods that demonstrate good agreement to within 1.1% for total fuel consumed or CO2 emitted. A central component of this study is the comprehensive nature of the bottom-up emission estimates that combine highly detailed remote sensing emission data with over 4000 km of 1 Hz real driving data. Total annual UK NH3 emissions from gasoline passenger cars are estimated to be 7.8 ± 0.3 kt from the bottom-up estimate compared with 3.0 ± 1.7 kt reported by the UK national inventory. An important conclusion from the analysis is that both methodologies confirm that gasoline passenger car NH3 emissions are underestimated by a factor of about 2.6 compared with the 2018 UK National Atmospheric Emissions Inventory. Furthermore, we find that inventory estimates of urban emissions of NH3 for passenger cars are underestimated by a factor of 17.
Metadata
| Item Type: | Article | 
|---|---|
| Authors/Creators: | 
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| Copyright, Publisher and Additional Information: | © 2020 American Chemical Society. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. | 
| Dates: | 
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| Institution: | The University of York | 
| Academic Units: | The University of York > Faculty of Sciences (York) > Chemistry (York) | 
| Depositing User: | Pure (York) | 
| Date Deposited: | 06 Jan 2021 10:50 | 
| Last Modified: | 17 Sep 2025 02:19 | 
| Published Version: | https://doi.org/10.1021/acs.est.0c05839 | 
| Status: | Published | 
| Refereed: | Yes | 
| Identification Number: | 10.1021/acs.est.0c05839 | 
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169685 | 

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