Hassler, Birgit, McDonald, Brian C., Frost, Gregory J. et al. (12 more authors) (2016) Analysis of long-term observations of NOx and CO in megacities and application to constraining emissions inventories. Geophysical Research Letters. pp. 9920-9930. ISSN 0094-8276
Abstract
Long-term atmospheric NOx/CO enhancement ratios in megacities provide evaluations of emission inventories. A fuel-based emission inventory approach that diverges from conventional bottom-up inventory methods explains 1970–2015 trends in NOx/CO enhancement ratios in Los Angeles. Combining this comparison with similar measurements in other U.S. cities demonstrates that motor vehicle emissions controls were largely responsible for U.S. urban NOx/CO trends in the past half century. Differing NOx/CO enhancement ratio trends in U.S. and European cities over the past 25 years highlights alternative strategies for mitigating transportation emissions, reflecting Europe's increased use of light-duty diesel vehicles and correspondingly slower decreases in NOx emissions compared to the U.S. A global inventory widely used by global chemistry models fails to capture these long-term trends and regional differences in U.S. and Europe megacity NOx/CO enhancement ratios, possibly contributing to these models' inability to accurately reproduce observed long-term changes in tropospheric ozone.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2016. American Geophysical Union. All Rights Reserved. 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. |
Keywords: | chemistry-climate models,emissions,inventories,long-term trends,megacities |
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: | 28 Nov 2018 15:00 |
Last Modified: | 10 Jan 2025 00:04 |
Published Version: | https://doi.org/10.1002/2016GL069894 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1002/2016GL069894 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139319 |
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