Quantifying the contribution of periodicity and national holidays to air pollution levels in the United Kingdom using a decomposable time series model

Rushton, C.E. orcid.org/0000-0002-0159-5187 and Tate, J.E. orcid.org/0000-0003-1646-6852 (2025) Quantifying the contribution of periodicity and national holidays to air pollution levels in the United Kingdom using a decomposable time series model. Atmospheric Pollution Research, 16 (8). 102533. ISSN 1309-1042

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2025 Turkish National Committee for Air Pollution Research and Control. Production and hosting by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Air pollution, National holidays, NO₂, Forecasting, Big data
Dates:
  • Accepted: 7 April 2025
  • Published (online): 19 April 2025
  • Published: August 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 25 Apr 2025 14:14
Last Modified: 25 Apr 2025 14:16
Published Version: https://www.sciencedirect.com/science/article/pii/...
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.apr.2025.102533
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 11: Sustainable Cities and Communities
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