Southern Australian Fractured Rock Hydrogeological Inventory
Updated 2mo ago
1filesPDF
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Description
Geoscience Australia Data provides a hydrogeological inventory for the Southern Australian Fractured Rock Province, last updated on 2026-04-30. The dataset contains descriptive attributes grouped into themes including location, geology, hydrogeology, groundwater management, and land use. It covers ancient geological regions like the Gawler Craton, with rocks dating back to approximately 3,150 Ma, and the Curnamona Province.
Use Cases
Model groundwater flow and storage based on hydrogeological and geological attribute themes.
Analyze the relationship between surface water features and groundwater systems using grouped descriptive topics.
Study long-term geological evolution and tectonic history based on descriptions of craton formation and supercontinent cycles.
Assess land use and environmental impacts on groundwater resources within the defined spatial groundwater features.
Strengths
Thematic grouping of descriptive attributes into 11 distinct topics, including hydrogeology and groundwater management.
Covers ancient geological regions with rock formations dating back billions of years, such as the ~3,150 Ma Gawler Craton.
Spatially bounded by defined groundwater features, linking attributes to specific geographic areas.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for large-scale analysis.
Data is provided in PDF format, which may complicate automated extraction and analysis.
Provenance
Source
Geoscience Australia Data
Collection Method
Descriptive attribute compilation for areas bounded by spatial groundwater features from a Hydrogeology Index map.
Freshness
Last updated 2026-04-30 13:45:47.950907; freshness should be verified.
Geography
Southern Australian Fractured Rock Province, including the Gawler Craton and Curnamona Province.
Primary data format is PDF, which may require conversion or manual extraction for computational use.