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  • Drainage network containing perennial/non-perennial waterbodies and linear features such as streams, coastlines and inland shores (dataset derived from the Digital Chart of the World (DCW)). Generic information on DCW data sets The primary source for DCW is the US Defense Mapping Agency (DMA) Operational Navigation Chart (ONC) series produced by the United States, Australia, Canada, and the United Kingdom. The ONCs have a scale of 1:1,000,000, where 1 inch equals approximately 16 miles.The charts were designed to meet the needs of pilots and air crews in medium and low altitude en route navigation and to support military operational planning, intelligence briefings, and other needs. Therefore, the selection of ground features is based on the requirement for rapid visual recognition of significant details seen from a low perspective angle. The DCW database was originally published in 1992. Data currency varies from place to place depending on the currency of the ONC charts. Chart currency ranges from the mid 1960s to the early 1990s. Compilation dates for every ONC chart are included in the database. For more information on the Digital Chart of the world please browse the DCW website where you can download these data in VPF format. GA has converted these VPF format files to common GIS formats Arcview and Mapinfo. Available datasets include drainage, roads and railway networks, political areas and boundaries and population centres. Available for free download.

  • This service has been created specifically for display in the National Map and the symbology displayed may not suit other mapping applications. Information included within the service includes the point locations for surface hydrology, including natural and man-made features such as water courses (including directional flow paths), lakes, dams and other water bodies and marine themes. The data is sourced from Geoscience Australia 250K Topographic data and Surface Hydrology data. The service contains layer scale dependencies.

  • This service has been created specifically for display in the National Map and the symbology displayed may not suit other mapping applications. Information included within the service includes the linear locations for surface hydrology, including natural and man-made features such as water courses (including directional flow paths), lakes, dams and other water bodies and marine themes. The data is sourced from Geoscience Australia 250K Topographic data and Surface Hydrology data. The service contains layer scale dependencies.

  • This service has been created specifically for display in the National Map and the symbology displayed may not suit other mapping applications. The service includes natural and man-made surface hydrology features, such as water courses (including directional flow paths), lakes, dams and other water bodies and marine themes. The data is sourced from Geoscience Australia 250K Topographic data and Surface Hydrology data. The service contains layer scale dependencies.

  • This project involved two phases, the first of which compiled reviews of recharge and discharge studies that have been undertaken in Australia. It also involved preliminary identification of the parameters (climate, soils, regolith, near-surface geology, landforms, vegetation etc.) that determine recharge and discharge rates along with a review of the appropriate scale mapping approaches available for these parameters. The second phase of the project utilised empirical relationships derived from data collected in Phase 1 of the project in a decision tree methodology that guides the user to the most appropriate estimate for recharge/discharge given the data availability. This report documents the various methods of estimating recharge and/or discharge using specifically developed Excel spreadsheets and associated input GIS data.

  • This service has been created specifically for display in the National Map and the symbology displayed may not suit other mapping applications. Information included within the service includes the point locations for surface hydrology, including natural and man-made features such as water courses (including directional flow paths), lakes, dams and other water bodies and marine themes. The data is sourced from Geoscience Australia 250K Topographic data and Surface Hydrology data. The service contains layer scale dependencies.

  • This service has been created specifically for display in the National Map and the symbology displayed may not suit other mapping applications. The service includes natural and man-made surface hydrology features, such as water courses (including directional flow paths), lakes, dams and other water bodies and marine themes. The data is sourced from Geoscience Australia 250K Topographic data and Surface Hydrology data. The service contains layer scale dependencies.

  • These pages comprise the National Geoscience Datasets Internet Facility which delivers AGSO clients online access to AGSO's National scale spatial geoscience information. AGSO has responsibility for the production and online access to primary geoscience information of relevance to resource issues for industry, government and the general public, provided in the form of digital datasets that cover the Australian continent and/or Australian marine jurisdictional areas. This facility will provide efficient, modern digital-era access to all the geoscience information available in current maps and associated digital databases at the best possible resolution. To add to this as new geoscience datasets are released they will become available on the National Geoscience Datasets download page and be viewable within the National datasets online GIS web mapping tool.

  • The Surface Hydrology Lines (Regional) dataset provides a set of related features classes to be used as the basis of the production of consistent hydrological information. This dataset contains a geometric representation of major hydrographic line elements - both natural and artificial. This dataset is the best available data supplied by Jurisdictions and aggregated by Geoscience Australia. It is intended for defining hydrological features with attributes.

  • A structural transect along a ridge entering Wheeny Gap from the west provides important insight into the nature of faults comprising the Lapstone Structural Complex (LSC). Sheared sandstone outcropping along the ridge east of the Kurrajong fault scarp suggests that the Kurrajong Fault is a steeply east-dipping reverse-fault, in accordance with the interpretation of seismic profiles further to the south. A previously unrecognised west-dipping reverse fault (Wheeny Gap Fault) with at least several tens of metres of displacement was observed in a cliff face on the northern side of Wheeny Gap, several hundred metres east of the Kurrajong Fault. Relatively recent activity is suggested on the Wheeny Gap Fault as it laterally displaces the cliff face formed during the passage of a knickpoint relating to initial relief generation across the Lapstone Monocline up Wheeny Creek. Earthquake hypocentres recorded over the last several decades occur predominantly at depth to the west, and have been used to suggest the presence of a blind west-dipping reverse fault, into which the Kurrajong and Wheeny Gap faults must link at depth. We present an evolutionary model for the LSC based upon this architecture which reconciles evidence for late Cenozoic uplift across the LSC and the observation that the Rickabys Creek Gravels overlie shale on the Cumberland Plain and sandstone on the Lapstone Monocline. This model suggests that the findings of a major seismic hazard assessment of the Sydney Basin, which concludes that magnitude MW7.0 and greater earthquake events might be expected on the LSC on average every 15-30 ka, should be treated with caution. This expectation of regular recurrence must be tempered by the possibility that a large part of the relief relating to the complex might have formed in the late Miocene or earlier, and the evidence from other Australian intraplate faults suggesting that large earthquake occurrence is markedly temporally clustered.