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      3D characterisation and quantification of an offshore freshened groundwater system in the Canterbury Bight

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          Abstract

          Although offshore freshened groundwater (OFG) systems have been documented in numerous continental margins worldwide, their geometry, controls and emplacement dynamics remain poorly constrained. Here we integrate controlled-source electromagnetic, seismic reflection and borehole data with hydrological modelling to quantitatively characterise a previously unknown OFG system near Canterbury, New Zealand. The OFG system consists of one main, and two smaller, low salinity groundwater bodies. The main body extends up to 60 km from the coast and a seawater depth of 110 m. We attribute along-shelf variability in salinity to permeability heterogeneity due to permeable conduits and normal faults, and to recharge from rivers during sea level lowstands. A meteoric origin of the OFG and active groundwater migration from onshore are inferred. However, modelling results suggest that the majority of the OFG was emplaced via topographically-driven flow during sea level lowstands in the last 300 ka. Global volumetric estimates of OFG will be significantly revised if active margins, with steep coastal topographies like the Canterbury margin, are considered.

          Abstract

          The authors here combine a range of geophysical data, numerical modelling and borehole data to present a high resolution map of an offshore freshened groundwater system in the Canterbury Bight, New Zealand. The study shows the extensions of the offshore freshened groundwater system to be controlled by high permeability shelf sediments, buried paleochannels and onshore rivers.

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          Most cited references60

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          A theoretical analysis of groundwater flow in small drainage basins

          J. Toth (1963)
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            Quantifying renewable groundwater stress with GRACE

            Abstract Groundwater is an increasingly important water supply source globally. Understanding the amount of groundwater used versus the volume available is crucial to evaluate future water availability. We present a groundwater stress assessment to quantify the relationship between groundwater use and availability in the world's 37 largest aquifer systems. We quantify stress according to a ratio of groundwater use to availability, which we call the Renewable Groundwater Stress ratio. The impact of quantifying groundwater use based on nationally reported groundwater withdrawal statistics is compared to a novel approach to quantify use based on remote sensing observations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission. Four characteristic stress regimes are defined: Overstressed, Variable Stress, Human‐dominated Stress, and Unstressed. The regimes are a function of the sign of use (positive or negative) and the sign of groundwater availability, defined as mean annual recharge. The ability to mitigate and adapt to stressed conditions, where use exceeds sustainable water availability, is a function of economic capacity and land use patterns. Therefore, we qualitatively explore the relationship between stress and anthropogenic biomes. We find that estimates of groundwater stress based on withdrawal statistics are unable to capture the range of characteristic stress regimes, especially in regions dominated by sparsely populated biome types with limited cropland. GRACE‐based estimates of use and stress can holistically quantify the impact of groundwater use on stress, resulting in both greater magnitudes of stress and more variability of stress between regions.
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              Seawater intrusion processes, investigation and management: Recent advances and future challenges

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                Author and article information

                Contributors
                aaron.micallef@um.edu.mt
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                13 March 2020
                13 March 2020
                2020
                : 11
                : 1372
                Affiliations
                [1 ]ISNI 0000 0001 2176 9482, GRID grid.4462.4, Marine Geology & Seafloor Surveying, Department of Geosciences, , University of Malta, ; Msida, Malta
                [2 ]ISNI 0000 0000 9056 9663, GRID grid.15649.3f, Helmholtz Centre for Ocean Research, , GEOMAR, ; Kiel, Germany
                [3 ]ISNI 0000 0001 0724 9501, GRID grid.39679.32, Hydrology Program, , New Mexico Tech, ; Socorro, NM USA
                [4 ]ISNI 0000 0001 2155 4756, GRID grid.15606.34, Federal Institute for Geosciences and Natural Resources (BGR), ; Hanover, Germany
                [5 ]ISNI 0000 0000 9252 5808, GRID grid.419676.b, National Institute for Water and Atmospheric Research (NIWA), ; Wellington, New Zealand
                [6 ]ISNI 0000 0004 0428 3079, GRID grid.148313.c, Computational Earth Science, Earth and Environmental Sciences Division, , Los Alamos National Laboratory, ; Los Alamos, NM USA
                [7 ]ISNI 0000 0001 2153 9986, GRID grid.9764.c, Institute of Geosciences, , Christian-Albrechts-Universität zu Kiel, ; Kiel, Germany
                [8 ]ISNI 0000 0004 1937 0343, GRID grid.4800.c, Department of Environment, Land and Infrastructure Engineering, , Politecnico di Torino, ; Turin, Italy
                Author information
                http://orcid.org/0000-0002-9330-0648
                http://orcid.org/0000-0003-3762-8056
                http://orcid.org/0000-0002-6751-8934
                http://orcid.org/0000-0002-3769-5278
                http://orcid.org/0000-0003-3646-8169
                http://orcid.org/0000-0001-7063-0815
                http://orcid.org/0000-0001-5497-1265
                Article
                14770
                10.1038/s41467-020-14770-7
                7069953
                32170097
                3317de82-1c29-4e7c-857a-ce02209e407f
                © 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/.

                History
                : 17 April 2019
                : 28 January 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 677898
                Award ID: 677898
                Award ID: 677898
                Award ID: 677898
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: NSF FRES 1925974
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: HA 8392/1-1
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                hydrology,ocean sciences,solid earth sciences
                Uncategorized
                hydrology, ocean sciences, solid earth sciences

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