Using meteorological normalisation to detect interventions in air quality time series

Grange, Stuart K. and Carslaw, David C. orcid.org/0000-0003-0991-950X (2019) Using meteorological normalisation to detect interventions in air quality time series. Science of the Total Environment. pp. 578-588. ISSN 0048-9697

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2018 The Authors.

Keywords: Air pollution,Data analysis,Machine learning,Management,Random forest
Dates:
  • Published: 25 February 2019
  • Published (online): 28 October 2018
  • Accepted: 25 October 2018
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Chemistry (York)
Depositing User: Pure (York)
Date Deposited: 19 Nov 2018 13:50
Last Modified: 23 Jan 2025 00:16
Published Version: https://doi.org/10.1016/j.scitotenv.2018.10.344
Status: Published
Refereed: Yes
Identification Number: 10.1016/j.scitotenv.2018.10.344
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Description: Using meteorological normalisation to detect interventions in air quality time series

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