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Published (Version of record)CC BY V4.0, Open Access
Published (Version of record)CC BY V4.0, Open
Journal article
Changes in global groundwater organic carbon driven by climate change and urbanization
Nature Communications, Vol.11(1), pp.1-10
09/03/2020
PMCID: PMC7062877
PMID: 32152271
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Abstract
Climate change and urbanization can increase pressures on groundwater resources, but little is known about how groundwater quality will change. Here, we use a global synthesis (n = 9,404) to reveal the drivers of dissolved organic carbon (DOC), which is an important component of water chemistry and substrate for microorganisms that control biogeochemical reactions. Dissolved inorganic chemistry, local climate and land use explained ~ 31% of observed variability in groundwater DOC, whilst aquifer age explained an additional 16%. We identify a 19% increase in DOC associated with urban land cover. We predict major groundwater DOC increases following changes in precipitation and temperature in key areas relying on groundwater. Climate change and conversion of natural or agricultural areas to urban areas will decrease groundwater quality and increase water treatment costs, compounding existing constraints on groundwater resources.
Details
- Title
- Changes in global groundwater organic carbon driven by climate change and urbanization
- Creators
- Liza K McDonough - School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia. lizam@ansto.gov.auIsaac R Santos - Southern Cross UniversityMartin S Andersen - School of Civil and Environmental Engineering, UNSW Sydney, Sydney, NSW, 2052, AustraliaDenis M O'Carroll - School of Civil and Environmental Engineering, UNSW Sydney, Sydney, NSW, 2052, AustraliaHelen Rutlidge - School of Civil and Environmental Engineering, UNSW Sydney, Sydney, NSW, 2052, AustraliaKarina Meredith - Australian Nuclear Science and Technology Organisation (ANSTO), New Illawarra Rd, Lucas Heights, NSW, 2234, AustraliaPhetdala Oudone - School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, 2052, AustraliaJohn Bridgeman - University of Bradford, Bradford, West Yorkshire, BD7 1DP, UKDaren C Gooddy - British Geological Survey, Maclean Building, Wallingford, OX10 8BB, UKJames P R Sorensen - British Geological Survey, Maclean Building, Wallingford, OX10 8BB, UKDan J Lapworth - British Geological Survey, Maclean Building, Wallingford, OX10 8BB, UKAlan M MacDonald - British Geological Survey, Lyell Centre, Research Avenue South, Edinburgh, EH14 6AJ, UKJade Ward - British Geological Survey, Maclean Building, Wallingford, OX10 8BB, UKAndy Baker - UNSW Australia
- Publication Details
- Nature Communications, Vol.11(1), pp.1-10
- Publisher
- Nature Publishing Group; England
- Grant note
- This work was supported by the Australian Research Council [DP160101379], the Australian Government Research Training Program Scholarship and a scholarship provided by ANSTO. A large portion of the Australian DOC data was also made possible by grants from the Federal Government initiative National Collaborative Research Infrastructure Strategy (NCRIS), the Cotton Catchment Community (CRC-CCC), the NSW Department of Primary Industries Office of Water and support for students via the National Centre for Groundwater Research and Training (NCGRT). D.J.L. and D.C.G. were funded through the LOCATE NERC grant NE/N018087/1. Ethiopia data used in the global dataset comparison was funded by Hidden Crisis 2 NE/M008606/1. Iceland data was funded through BGS-NERC Earth Hazards and Systems Directorate. Kenya data collection was funded through funded through HyCRISTAL NE/M020452/1. Mali and Nigeria data collection were funded through UK Department for International Development, GA/09 F/094, Groundwater resilience to climate change in Africa. Malawi data collection was funded through TRIGR, REACH programme and Hidden Crisis 2 NE/M008606/1. Nepal data collection was funded through UK Department for International Development, Groundwater Resources in the Indo-Gangetic Basin, Grant 202125-108. Senegal data collection was funded through AfriWatSan, Royal Society DFID Africa Capacity Building Initiative, ref: AQ140023. Uganda data collection was funded through HyCRISTAL NE/M020452/1 and Hidden Crisis 2 NE/M008606/1. Brazil, Argentina and a number of Australian data used in the global analysis were collected with funding from the Australian Research Council (FT170100327).
- Identifiers
- 991012925565702368
- Copyright
- © The Author(s) 2020 Open Access 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/.
- Academic Unit
- Faculty of Science and Engineering; School of Environment, Science and Engineering; National Marine Science Centre; Science
- Language
- English
- Resource Type
- Journal article