Preliminary assessment of an alluvial aquifer system using airborne and ground-based geophysics: Upper Darling River Floodplain, New South Wales

Defining and characterising groundwater aquifers usually depends on the availability of data necessary to represent its spatial extent and hydrogeological properties, such as lithological information and aquifer pump test data. In regions where such data is of limited availability and/or variable quality, the characterisation of aquifers for the purposes of water resource assessment and management can be problematic. The Upper Darling River Floodplain region of western New South Wales, Australia, is an area where communities, natural ecosystems and cultural values are dependent on both surface and groundwater resources. Owing to a relative paucity of detailed geological and hydrogeological data across the region we apply two non-invasive geophysical techniques-- airborne electromagnetics and surface magnetic resonance--to assist in mapping and characterising the regional alluvial aquifer system. The combination of these techniques in conjunction with limited groundwater quality data helps define an approximate extent for the low salinity alluvial aquifer in a key part of the Darling River valley system and provides insights into the relative water content and its variation within the aquifer materials. This work demonstrates the utility of these key geophysical data in developing a preliminary understanding of aquifer geometry and heterogeneity, thereby helping to prioritise targets for follow-up hydrogeological investigation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-11
DOI
https://doi.org/10.5281/zenodo.13917863
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
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article

Preliminary assessment of an alluvial aquifer system using airborne and ground-based geophysics: Upper Darling River Floodplain, New South Wales

Zenodo (CERN European Organization for Nuclear Research)
Geophysical and Geoelectrical Methods
article

Preliminary assessment of an alluvial aquifer system using airborne and ground-based geophysics: Upper Darling River Floodplain, New South Wales

article en

Abstract

Defining and characterising groundwater aquifers usually depends on the availability of data necessary to represent its spatial extent and hydrogeological properties, such as lithological information and aquifer pump test data. In regions where such data is of limited availability and/or variable quality, the characterisation of aquifers for the purposes of water resource assessment and management can be problematic. The Upper Darling River Floodplain region of western New South Wales, Australia, is an area where communities, natural ecosystems and cultural values are dependent on both surface and groundwater resources. Owing to a relative paucity of detailed geological and hydrogeological data across the region we apply two non-invasive geophysical techniques-- airborne electromagnetics and surface magnetic resonance--to assist in mapping and characterising the regional alluvial aquifer system. The combination of these techniques in conjunction with limited groundwater quality data helps define an approximate extent for the low salinity alluvial aquifer in a key part of the Darling River valley system and provides insights into the relative water content and its variation within the aquifer materials. This work demonstrates the utility of these key geophysical data in developing a preliminary understanding of aquifer geometry and heterogeneity, thereby helping to prioritise targets for follow-up hydrogeological investigation.

Zenodo (CERN European Organization for Nuclear Research)
Geoscience Australia (AU)
Clean water and sanitation
Openalex Percentile: Top 69%
Geophysical and Geoelectrical Methods
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Preliminary assessment of an alluvial aquifer system using airborne and ground-based geophysics: Upper Darling River Floodplain, New South Wales · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS