Sydney Basin Hydrogeological Inventory with Groundwater and Coal Deposit Attributes
Updated 2mo ago
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Description
Geoscience Australia Data provides a descriptive inventory for the Sydney Basin, a geological structure formed from the Late Carboniferous to Middle Triassic periods. The dataset groups attributes into themes including hydrogeology, groundwater management, land use, and geology, with a focus on the basin's widespread coal deposits. It was last updated on 2026-04-20.
Use Cases
Model groundwater flow and management based on described hydrogeological features.
Analyze the distribution and characteristics of coal deposits within the Southern, Central, Western, Newcastle, and Hunter coalfields.
Study geological history and tectonic events, such as the Tasman Rift extension, that shaped the basin's structure.
Assess land use and environmental factors in relation to described physical geography and surface water features.
Strengths
Thematic grouping covers 11 distinct topics from location to scientific stimulus, suggesting structured descriptive data.
Describes a specific, well-defined geological region with a detailed formation history spanning from the Late Carboniferous to Middle Triassic.
Includes information on major geological features like the Lapstone Monocline, Kurrajong Fault, and specific coal measures (Illawarra, Tomago, Newcastle, Wittingham).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data is provided in PDF format, which may hinder direct computational analysis.
Provenance
Source
Geoscience Australia Data
Collection Method
Likely compiled from geological surveys and spatial mapping projects.
Time Range
Geological data covers the Late Carboniferous to Middle Triassic periods; dataset metadata current as of 2026.
Freshness
Last updated 2026-04-20 03:19:57.944593; freshness should be verified.
Geography
Sydney Basin, New South Wales, Australia, including the Cumberland Plain and Blue Mountains.
Data is in PDF format, which may require extraction and parsing for analytical use.