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  • This dataset contains interpreted geological data, both units underlying the basins and magnetic (mostly volcanic) units enclosed by the basin sediments. The linear features in the data set are geological boundaries, major faults, lesser faults and dykes. The onshore magnetic, radiometric, topographic and gravity data have been collected by the Geological Survey of Victoria. This has been supplemented by offshore magnetic and bathymetric data collected by the Australian Geological Survey Organisation and deep seismic data collected by the Australian Geological Survey Organisation and company sources. The map attempts to reconcile the onshore geology interpreted in Simons & Moore (1999) with the geophysical responses in a way that is geologically reasonable, and to carry this interpretation offshore at least as far as the Tasmanian sea boundary (generally 39 degrees 12 minutes South). The legend broadly uses the same time breaks as that of the Pre-Permian geological map, but includes younger packages that lie beneath the basin. No attempt has been made to subdivide granitic rocks of a particular age. The dataset is accompanied by other datasets representing lava flows and the basin edges. Lava flows have been interpreted either from intersections in drill holes or from magnetic responses. References: MOORE, D.H., 2002. Eastern and central Gippsland Basin, southeast Australia: basement interpretation and basin links. Victorian Initiative for Minerals and Petroleum Report 69, Department of Natural Resources and Environment. MOORE, D.H., 2002. Basement-basin relationships in the Otway Basin, Victoria, Australia. Victorian Initiative for Minerals and Petroleum Report 78, Department of Natural Resources and Environment. SIMONS B.A., & MOORE, D.H., 1999. Victoria 1:1 000 000 Pre-Permian Geology. Geological Survey of Victoria.

  • Potential Groundwater Dependent Ecosystems (GDE) are ecosystems identified within the landscape as likely to be at least partly dependent on groundwater. State-wide screening analysis was performed to identify locations of potential terrestrial GDEs, including wetland areas. The GDE mapping was developed utilising satellite remote sensing data, geological data and groundwater monitoring data in a GIS overlay model. Validation of the model through field assessment has not been performed. The method has been applied for all of Victoria and is the first step in identifying potential groundwater dependent ecosystems that may be threatened by activities such as drainage and groundwater pumping. The dataset specifically covers the North East Catchment Management Authority (CMA) area. The method used in this research is based upon the characteristics of a potential GDE containing area as one that: 1. Has access to groundwater. By definition a GDE must have access to groundwater. For GDE occurrences associated with wetlands and river systems the water table will be at surface with a zone of capillary extension. In the case of terrestrial GDE's (outside of wetlands and river systems), these are dependent on the interaction between depth to water table and the rooting depth of the vegetation community. 2. Has summer (dry period) use of water. Due to the physics of root water uptake, GDEs will use groundwater when other sources are no longer available; this is generally in summer for the Victorian climate. The ability to use groundwater during dry periods creates a contrasting growth pattern with surrounding landscapes where growth has ceased. 3. Has consistent growth patterns, vegetation that uses water all year round will have perennial growth patterns. 4. Has growth patterns similar to verified GDEs. The current mapping does not indicate the degree of groundwater dependence, only locations in the landscape of potential groundwater dependent ecosystems. This dataset does not directly support interpretation of the amount of dependence or the amount of groundwater used by the regions highlighted within the maps. Further analysis and more detailed field based data collection are required to support this. The core data used in the modelling is largely circa 1995 to 2005. It is expected that the methodology used will over estimate the extent of terrestrial GDEs. There will be locations that appear from EvapoTranspiration (ET) data to fulfil the definition of a GDE (as defined by the mapping model) that may not be using groundwater. Two prominent examples are: 1. Riparian zones along sections of rivers and creeks that have deep water tables where the stream feeds the groundwater system and the riparian vegetation is able to access this water flow, as well as any bank storage contained in the valley alluvials. 2. Forested regions that are accessing large unsaturated regolith water stores. The terrestrial GDE layer polygons are classified based on the expected depth to groundwater (ie shallow <5 m or deep >5 m). Additional landscape attributes are also assigned to each mappnig polygon. In 2011-2012 a species tolerance model was developed by Arthur Rylah Institute, collaborating with DPI, to model landscapes with ability to support GDEs and to provide a relative measure of sensitivity of those ecosystems to changes in groundwater availability and quality. Rev 1 of the GDE mapping incorporates species tolerance model attributes for each potential GDE polygon and attributes for interpreted depth to groundwater. Separate datasets and associated metadata records have been created for GDE species tolerance.

  • This dataset is a subset of the Victorian Groundwater Data Inventory, developed by DELWP. The Data Inventory collated available data relating to four themes: groundwater recharge, aquifer/aquitard properties, groundwater use and aquifer/aquitard thickness. Information has been sourced from 65 hydrogeological studies and contains a spatially enabled representation of data coverage. This dataset represent the Aquifer Properties component of the Data Inventory.

  • Shear displacement structures. Other geological features (e.g. fault or dyke) are included where the feature forms a boundary to rock units. The lines are constructed from the corresponding geological contacts and faults layer

  • Deep Leads Areas for Alluvial Gold. Compiled from maps associated with GSV Bulletin 62 (1988) by Frank Canavan. Bendigo 1:250,000 DEEPLD250 has also been added to the dataset.

  • The data displays areas of geological deep leads The data have been collected by the Geological Survey of Victoria. The dataset is accompanied by other datasets representing geology outcrop and boundaries, structural lines, miscellaneous lines and points, miscellaneous polygons, and placer deposits.

  • The data contains strandlines (lines) and WIM style areas (polygons) of Heavy Mineral Sand mineralisation. Data is derived from various exploration company sources, and has related data in the Minerals and Petroleum sites database (VicMine).

  • Contains polygon features delineating boundaries and describing forest management areas. All arc features are identified and coded according to the AS2482 standard.

  • The data displays miscellaneous geological line and point data not covered by other geological datasets. The data have been collected by the Geological Survey of Victoria. The dataset is accompanied by other datasets representing geology outcrop and boundaries, structural lines, miscellaneous polygons, metamorphism, and placer deposits.

  • Potential Groundwater Dependent Ecosystems (GDE) are ecosystems identified within the landscape as likely to be at least partly dependent on groundwater. State-wide screening analysis was performed to identify locations of potential terrestrial GDEs, including wetland areas. The GDE mapping was developed utilising satellite remote sensing data, geological data and groundwater monitoring data in a GIS overlay model. Validation of the model through field assessment has not been performed. The method has been applied for all of Victoria and is the first step in identifying potential groundwater dependent ecosystems that may be threatened by activities such as drainage and groundwater pumping. The dataset specifically covers the Port Phillip and Westernport Catchment Management Authority (CMA) area. The method used in this research is based upon the characteristics of a potential GDE containing area as one that: 1. Has access to groundwater. By definition a GDE must have access to groundwater. For GDE occurrences associated with wetlands and river systems the water table will be at surface with a zone of capillary extension. In the case of terrestrial GDE's (outside of wetlands and river systems), these are dependent on the interaction between depth to water table and the rooting depth of the vegetation community. 2. Has summer (dry period) use of water. Due to the physics of root water uptake, GDEs will use groundwater when other sources are no longer available; this is generally in summer for the Victorian climate. The ability to use groundwater during dry periods creates a contrasting growth pattern with surrounding landscapes where growth has ceased. 3. Has consistent growth patterns, vegetation that uses water all year round will have perennial growth patterns. 4. Has growth patterns similar to verified GDEs. The current mapping does not indicate the degree of groundwater dependence, only locations in the landscape of potential groundwater dependent ecosystems. This dataset does not directly support interpretation of the amount of dependence or the amount of groundwater used by the regions highlighted within the maps. Further analysis and more detailed field based data collection are required to support this. The core data used in the modelling is largely circa 1995 to 2005. It is expected that the methodology used will over estimate the extent of terrestrial GDEs. There will be locations that appear from EvapoTranspiration (ET) data to fulfil the definition of a GDE (as defined by the mapping model) that may not be using groundwater. Two prominent examples are: 1. Riparian zones along sections of rivers and creeks that have deep water tables where the stream feeds the groundwater system and the riparian vegetation is able to access this water flow, as well as any bank storage contained in the valley alluvials. 2. Forested regions that are accessing large unsaturated regolith water stores. The terrestrial GDE layer polygons are classified based on the expected depth to groundwater (ie shallow <5 m or deep >5 m). Additional landscape attributes are also assigned to each mappnig polygon. In 2011-2012 a species tolerance model was developed by Arthur Rylah Institute, collaborating with DPI, to model landscapes with ability to support GDEs and to provide a relative measure of sensitivity of those ecosystems to changes in groundwater availability and quality. Rev 1 of the GDE mapping incorporates species tolerance model attributes for each potential GDE polygon and attributes for interpreted depth to groundwater. Separate datasets and associated metadata records have been created for GDE species tolerance.