{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"author_email": null, "contact_point": "bioregionalassessments@environment.gov.au", "creator_user_id": "2846d45e-3969-4419-a085-84f5716ede91", "duplicate_score": 1, "geospatial_topic": [], "id": "22c1f7a4-175e-4c2c-b600-de0a4f9c19d3", "isopen": false, "language": "eng", "license_id": "Creative Commons Attribution 3.0 Australia, http://creativecommons.org/licenses/by/3.0/au/, (c) Commonwealth of Australia (Geoscience Australia) 2014", "license_title": "Creative Commons Attribution 3.0 Australia, http://creativecommons.org/licenses/by/3.0/au/, (c) Commonwealth of Australia (Geoscience Australia) 2014", "maintainer": null, "maintainer_email": null, "metadata_created": "2016-03-29T04:13:57.288683", "metadata_modified": "2022-04-13T08:44:32.572025", "name": "bbf78bf8-9ef6-42c1-861d-b2f57afd9805", "notes": "## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\n\n\nComposite temperature and density corrected potentiometric surface contours for the Cadna-Owie-Hooray and equivalents Aquifer and inferred regional groundwater flow directions comprises of two separate data layers; A: Potentiometric surface contours B: Regional groundwater flow direction arrows - Inferred The composite potentiometric surface contours are modified from (Ransley & Smerdon 2013) (figure 7.4 - Modern (Circa 2010) potentiometric surface) and Love et.al. (eds) 2013 (Figure 5.14 Present-day corrected potentiometric surface of the J aquifer for the variable temperature assumption) which was generated from a surface grid that is calculated from temperature and density corrected waterbore head measurements obtained between 2000 and 2010. The regional flow is inferred to occur down hydrualic gradient perpendicular to groundwater head isopotential contours. This dataset and associated metadata can be obtained from www.ga.gov.au, using catalogue number 81688. REFERENCES: Love et al. (eds) 2013, Allocating Water and Maintaining Springs in the Great Artesian Basin. Volume II: Groundwater Recharge , Hydrodynamics and Hydrochemistry of the Western Great Artesian Basin, National Water Commission, Canberra Ransley TR and Smerdon BD (eds) (2012) Hydrostratigraphy, hydrogeology and system conceptualisation of the Great Artesian Basin. A technical report to the Australian Government from the CSIRO Great Artesian Basin Water Resource Assessment. CSIRO Water for a Healthy Country Flagship, Australia. Ransley, T., Radke, B., Feitz, A., Kellett, J., Owens, R., Bell, J. and Stewart, G., 2014. Hydrogeological Atlas of the Great Artesian Basin. Geoscience Australia. Canberra. \\[available from www.ga.gov.au using catalogue number 79790\\]\n\n## **Purpose** \n\nVisualize the spatial variation in groundwater pressure within the Cadna-owie-Hooray and equivalents Aquifer.\n\n## **Dataset History** \n\nSOURCE DATA: Data was obtained from a variety of sources, as listed below: 1. Ransley & Smerdon 2013) (figure 7.4 - Modern (Circa 2010) potentiometric surface) 2. Love et.al. (eds) 2013 (Figure 5.14 Present-day corrected potentiometric surface of the J aquifer for the variable temperature assumption) METHOD: Potentiometric surface contours Contours from data sources 1 & 2 were imported into ArcGIS. Within the SA/NT portion of GAB, contours from data source 1 were deleted and replaced by data source 2. Manual\n\nHydrogeological Atlas of the GAB Dataset - Metadata 4\n\nmodification of potentiometric contours was carried out along the boundary of the two data sources to edge match the two datasets. Inferred Regional groundwater flow directions Inferred flow direction arrows were produced by manual interpretation in ArcGIS by drawing arrows perpendicular to the potentiometric surface contours. QAQC: Data has undergone a QAQC verification process in order to capture and repair attribute and geometric errors. SOFTWARE: All modifications/edits and geoprocessing were performed using ESRI ArcGIS 10 software.\n\n## **Dataset Citation** \n\nGeoscience Australia (2015) Potentiometric surface for the Cadna-owie-Hooray and equivalents Aquifer. Bioregional Assessment Source Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/bbf78bf8-9ef6-42c1-861d-b2f57afd9805.", "num_resources": 1, "num_tags": 2, "organization": {"id": "69f37b4c-bdf0-4c85-bd56-82fa6d6b087a", "name": "bioregional-assessment-program", "title": "Bioregional Assessment Program", "type": "organization", "description": "The Australian Government's bioregional assessments programs are a collaboration between the Department of Agriculture, Water and the Environment, the Bureau of Meteorology, CSIRO and Geoscience Australia. There are two separate programs of bioregional assessments.\r\n\r\nThe Bioregional Assessment Program (2012 - 2017) seeks to better understand the potential impacts of coal seam gas and large coal mining developments on water resources and water-related assets. It is one of a number of actions undertaken by the Australian Government to strengthen the science underpinning decision making on coal seam gas and large coal mining developments.\r\n\r\nThe Geological and Bioregional Assessment Program (2017 - 2021) assessed the potential impacts of shale and tight gas development on water and the environment. 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