The contribution of emission sources to the future air pollution disease burden in China

Conibear, LA orcid.org/0000-0003-2801-8862, Reddington, CL, Silver, BJ orcid.org/0000-0003-0395-0637 et al. (4 more authors) (2022) The contribution of emission sources to the future air pollution disease burden in China. Environmental Research Letters, 17 (6). 064027. ISSN 1748-9326

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Copyright, Publisher and Additional Information: © 2022 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Keywords: air quality, emulator, machine learning, China, particulate matter, health impact assessment, climate co-benefits
Dates:
  • Accepted: 13 May 2022
  • Published (online): 26 May 2022
  • Published: June 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 27 May 2022 10:58
Last Modified: 27 May 2022 10:58
Status: Published online
Publisher: IOP Publishing
Identification Number: https://doi.org/10.1088/1748-9326/ac6f6f

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