Data

Managed aquifer recharge potential in areas of long-term groundwater level decline within the main alluvial aquifers of the Murray-Darling Basin

Commonwealth Scientific and Industrial Research Organisation
Gonzalez, Dennis
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/3s8z-y150&rft.title=Managed aquifer recharge potential in areas of long-term groundwater level decline within the main alluvial aquifers of the Murray-Darling Basin&rft.identifier=https://doi.org/10.25919/3s8z-y150&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Grids representing the technical feasibility of managed aquifer recharge and volumetric estimates of potential for the main alluvial aquifer systems of the Murray-Darling Basin focussing on areas of long-term groundwater level decline produced for the MD-WERP RQ8b project.Lineage: The study assesses eight alluvial aquifer systems in the Murray-Darling Basin, which comprise 22 resource units responsible for over 75% of annual groundwater extraction. The assessment focuses on unconfined and confined storage potential, using spatial screening methods based on stochastic iterations of spatial criteria. These criteria included factors like aquifer material extent, hydraulic conductivity, groundwater salinity, and available storage space. For unconfined aquifers, suitable areas for infiltration-based managed aquifer recharge (MAR) were identified, while confined aquifers were assessed for well injection-based MAR. The analysis utilized bore standing water level (SWL) data, groundwater salinity measurements, and potential storage volume calculations. SWL trends were analyzed from 1971 to 2021 using Sen’s Slope estimator, and salinity data were interpolated using Empirical Bayesian Kriging. For unconfined aquifers, potential infiltration volumes were estimated using groundwater level declines and specific yield (Sy), while for confined aquifers, recharge potential was calculated using the Theis solution. The modeling incorporated factors like aquifer thickness, hydraulic conductivity, and injection pressure limits to assess feasible storage and recharge potential across the resource units. Details are available in the attached metadata report.&rft.creator=Gonzalez, Dennis &rft.date=2024&rft.edition=v1&rft.coverage=westlimit=138.55380000000002; southlimit=-36.6218; eastlimit=153.6811; northlimit=-29.6975; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2024.&rft_subject=Spatial analysis&rft_subject=GIS&rft_subject=Groundwater level trend&rft_subject=Stochastic assessment&rft_subject=Managed aquifer recharge&rft_subject=Groundwater banking&rft_subject=Storage potential&rft_subject=MD-WERP&rft_subject=MDB&rft_subject=Groundwater hydrology&rft_subject=Hydrology&rft_subject=EARTH SCIENCES&rft_subject=Geospatial information systems and geospatial data modelling&rft_subject=Geomatic engineering&rft_subject=ENGINEERING&rft_subject=Information systems for sustainable development and the public good&rft_subject=Information systems&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2024.

Access:

Open view details

Accessible for free

Contact Information



Full description

Grids representing the technical feasibility of managed aquifer recharge and volumetric estimates of potential for the main alluvial aquifer systems of the Murray-Darling Basin focussing on areas of long-term groundwater level decline produced for the MD-WERP RQ8b project.
Lineage: The study assesses eight alluvial aquifer systems in the Murray-Darling Basin, which comprise 22 resource units responsible for over 75% of annual groundwater extraction. The assessment focuses on unconfined and confined storage potential, using spatial screening methods based on stochastic iterations of spatial criteria. These criteria included factors like aquifer material extent, hydraulic conductivity, groundwater salinity, and available storage space. For unconfined aquifers, suitable areas for infiltration-based managed aquifer recharge (MAR) were identified, while confined aquifers were assessed for well injection-based MAR. The analysis utilized bore standing water level (SWL) data, groundwater salinity measurements, and potential storage volume calculations. SWL trends were analyzed from 1971 to 2021 using Sen’s Slope estimator, and salinity data were interpolated using Empirical Bayesian Kriging. For unconfined aquifers, potential infiltration volumes were estimated using groundwater level declines and specific yield (Sy), while for confined aquifers, recharge potential was calculated using the Theis solution. The modeling incorporated factors like aquifer thickness, hydraulic conductivity, and injection pressure limits to assess feasible storage and recharge potential across the resource units. Details are available in the attached metadata report.

Available: 2024-12-10

Data time period: 2024-11-26 to 2024-11-26

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Related Grants and Projects

153.6811,-29.6975 153.6811,-36.6218 138.5538,-36.6218 138.5538,-29.6975 153.6811,-29.6975

146.11745,-33.15965

Subjects
Earth Sciences | Engineering | GIS | Geomatic Engineering | Geospatial Information Systems and Geospatial Data Modelling | Groundwater banking | Groundwater Hydrology | Groundwater level trend | Hydrology | Information and Computing Sciences | Information Systems | Information Systems for Sustainable Development and the Public Good | MD-WERP | MDB | Managed aquifer recharge | Spatial analysis | Stochastic assessment | Storage potential |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857