The solar resource has been mapped on a 5 km x 5 km grid across Victoria, with the lowest achievable uncertainty (or error), for the following five components (or measures) of solar irradiance: - global horizontal irradiance (GHI) - global irradiance on a north facing plane inclined at latitude angle (GTI) - global irradiance on a 2 axis tracking normal plane (GNI) - direct beam irradiance (DNI) - diffuse horizontal irradiance (Diff). The data has been reformatted to include values for annual average as well as seasonal variations from data supplied by Hydro Electric Corporation trading as Entura The methodology is contained within the report prepared by Entura which is downloadable here: <a href=&#09;http://er-info.dpi.vic.gov.au/publications/documentation/geovic_3/energy_division/E300128-TR01%20Solar%20Atlas%20Victoria%20(public%20release)%20with%20calibration%20certificates.pdf&#09;>Solar Atlas Report</a> <a href=&#09;http://er-info.dpi.vic.gov.au/publications/gis/energy_division/solar_irradiance.zip&#09;>Solar Atlas - Solar Irradiance Data - esri shapefile download</a> Departmental contact: Dr. Adrian Panow Director, Energy Investment Department of Primary Industries - Victoria Ph: 9658 4140 Email: Adrian.Panow@dpi.vic.gov.au

Petroleum Well Cross Section Lines. The lines are an index of traces between petroleum wells where special cross sectional diagrams have been produced.

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 Mallee 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.

Otway Basin Top Basement Two Way Time Structure Map using sun shading. Sun angle 80, azimuth 35 and vertical exaggeration 10. Pixel colours indicate red shallow (0ms), purple deep (4813ms) This structure map highlights the Late Jurassic - Early Cretaceous structure of the Otway Basin. The grid is based on mapping done by Minerals and Petroleum Victoria, Primary Industries and Resources South Australia, Origin Energy and Cooper (1995b). The main feature to note in this image is the variation in the orientation of the Late Jurassic - Early Cretaceous troughs and highs along the length of the basin. At the western and eastern ends of the basin, the troughs and highs are oriented both NE-SW and E-W (Robe Trough, St. Clair Trough, Rivoli Trough, Lake Eliza High, Beachport High, Elingamite Trough, Gellibrand Trough, Ombersely Trough, Nerita Deep, Snail Terrace). Those in the centre are oriented NW-SE (Penola Trough, Tantanoola Trough, Kalangadoo High, Hatherleigh High, Tahara Trough, Branxholme High, Ardonachie Trough, Lake Condah High). This variation in the orientation of the Late Jurassic - Early Cretaceous troughs and highs has resulted in considerable debate over the extension direction during this period. Some worker believe it was oriented NW-SE (Willcox & Stagg, 1990; Willcox et al., 1992; O'Brien et al., 1994), whereas others believe it was NNW-SSE (Cooper, 1995a,b; Cooper & Hill, 1997), N-S (Boeuf & Doust,1975; Ellenor, 1976; Hill et al., 1994a) or NNESSW (Etheridge et al., 1985, 1987; Smith, 1988). This image was extracted from Petroleum Atlas of Victoria Figure C21 (November 2001) The entire report may be downloaded ( at no cost ) from https://gsv.vic.gov.au/searchAssistant/document.php?q=parent_id:43977

This layer is part of Vicmap Hydro and contains point features delineating hydrological features. Includes; Rapids, Springs, Waterfalls & Water body points (dams). Attributed for name but necessarliy populated.

Geological Gold Fields

In 2011-2012 a species tolerance model was developed by Arthur Rylah Institute, collaborating with DPI, to provide a relative measure of sensitivity of groundwater dependent species to changes in groundwater availability and quality. This grid is the mean output of the model for each Grid cell. Grid cell values have been used to attribute the Potential Groundwater Dependent Ecosystems mapping. Potential Groundwater Dependent Ecosystems (GDE) are ecosystems identified within the landscape as likely to be at least partly dependent on groundwater. Refer to the Potential Groundwater Dependent Ecosystems metadata record for a full acount of the data product.

Changes in the chemical or mineralogical composition of a rock

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 Glenelg Hopkins 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.

An image representing the temperature in degrees celcius of the Lower Tertiary Aquifer in the Gippsland area. For detailed description see https://gsv.vic.gov.au/searchAssistant/document.php?q=parent_id:169360