Spatial analysis connects excess water pollution discharge, industrial production, and consumption at the sectoral level

Hou, S, Zhao, X, Liu, Y et al. (7 more authors) (2022) Spatial analysis connects excess water pollution discharge, industrial production, and consumption at the sectoral level. npj Clean Water, 5. 4. ISSN 2059-7037

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Copyright, Publisher and Additional Information: © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Dates:
  • Accepted: 28 January 2022
  • Published (online): 25 February 2022
  • Published: 25 February 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 31 Jan 2022 13:00
Last Modified: 30 Aug 2023 08:27
Published Version: https://www.nature.com/articles/s41545-022-00152-7
Status: Published
Publisher: Nature Research
Identification Number: https://doi.org/10.1038/s41545-022-00152-7

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