To improve EGLE's data visualizations of the Gelman Site project data and to develop an interactive 3D virtual conceptual site model (VCSM), EGLE utilizes RockWorks, an integrated geological database, analysis, and visualization software developed by RockWare, Inc. The locations included in this feature layer include all bore and sample locations that are in the current RockWorks project database (Gelman6.sqlite dated 05/01/2025). Data tied to each location includes lithological information, 1,4-dioxane sample results, and groundwater level measurements. The custom pop-up displays the standardized bore location name and the following information: Well Type: includes one of the following: Monitoring Well, Residential Well, Extraction Well, Injection Well, Horizontal Well, Test Boring, Seismic Interpolation Point, Surface Water, or other. Ground Elevation: elevation in feet at the point extracted from the March 2019 LiDAR digital elevation model from Southeast Michigan Council of Governments (SEMCOG). Units are in feet referenced to the North American Vertical Datum 1988 (Geoid12B).Collar Elevation: the top of well casing elevation used for reference when collecting groundwater level measurements. Source of information includes the EGLE Access database and supplemented with boring log or well construction records if available. Total Depth: feet below ground surface to the well or boring terminus. Source of information includes the EGLE Access database and supplemented with boring log or well construction records if available. Screen Interval: depth below ground surface to the top and bottom of the well screen. Source of information includes the EGLE Access database and supplemented with boring log or well construction records if available. Used for Lithology Model: yes/no field indicating if the location has associated lithological information that was used for input into the RockWorks lithology 3d solid voxel model.Used for Max Groundwater Elevation Model: yes/no field indicating if the location has associated groundwater level measurements that were was used as input for the Maximum Groundwater Elevation Model.Used for Geochem Models: yes/no field indicating the location has associated 1,4-dioxane results used as input to create the annual (1986 - 2024) 3d solid voxel models and 2d grid surface files. Additional fields specifying source of information, such as source of northing and eastings, can be viewed within the attribute table. Boring logs and well construction documents, if available, are stored as attachments and can be viewed by clicking on the hyperlink.At the bottom of the pop-up, the "Show Related Records" link will open up separate windows showing the lithology, water level measurements, or 1,4-dioxane results that are associated with the selected location. This is the latest version of the bore locations data. Earlier vintages are available at: Gelman Site of 1,4-Dioxane Contamination - All Bore Locations Layer Group (2020 Data) and Gelman Site of 1,4-Dioxane Contamination - All Bore Locations Layer Group (2023 Data).Field NameField DescriptionNameThe name associated with the boringWell TypeThe type of well that this represents. Values include the following: Monitoring Wells, Residential Wells, Extraction Wells, Injection Wells, Horizontal Wells, Test Boring, Seismic Interpolation Point, Surface Water, and 'other'.Northing (ft)Northing in Michigan State Plane Coordinate System (South Zone - FIPS 2113), NAD83 international feetEasting (ft)Easting in Michigan State Plane Coordinate System (South Zone - FIPS 2113), NAD83 international feetGround Elevation (ft)Ground surface elevation of the well in feet; taken from SEMCOG 2019 Digital Elevation Model referenced to NAVD88 (Geoid12B)Screen Interval (ft below ground surface)The minimum and maximum depth, in feet below ground surface, of the well screenTotal Depth (ft below ground service)The maximum depth, in feet below ground surface, that this boring was drilled toUsed for Lithology Model?Whether this boring is used in creating the RockWorks lithologic modelUsed for Max Groundwater Elevation Model?Whether this boring is used in creating the RockWorks Max Groundwater Elevation modelUsed for Geochem Models?Whether this boring is used in creating the Rock Works geochemical (1,4-dioxane concentration) modelThis data is used in the Gelman Site of 1,4-Dioxane Contamination web map (item details). If you have questions regarding the Gelman Sciences, Inc site of contamination contact Chris Svoboda at 517-256-2849 or svobodac@michigan.gov. Report problems or data functionality suggestions to EGLE-Maps@Michigan.gov.

Bores - This data represents the location and key attributes of all drill holes within Northern Territory. Drill holes contained within the dataset may be currently active or historic and may have been drilled for a wide variety of purposes such as water extraction, investigation and monitoring. Bore water quality - This data represents the discrete water quality data generated when water samples are analysed for chemicals, physical and biological properties. Majority of bores have water quality sampled at the end of bore drilling. Bore groundwater level - This data represents water level in the bores, a time series data where the data is measured at frequent continuous intervals.

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Database storing registered water bore data from private water bores and Queensland Government groundwater investigation and monitoring bores. Data includes bore location, water levels, construction details, strata log, and water quality.

The National Groundwater Information System(NGIS) contains more than 800 000 bore locations with associated lithology logs, bore construction logs and hydrostratigraphy logs. 2D and 3D aquifer geometries are also available for some areas.

The NGIS is a geodatabase for storing nationally consistent groundwater data based on the ArcHydro for Groundwater data model. Contents include: -bores -bore (hydrostratigraphy) logs -construction logs -lithology logs -hydrogeologic units -3D bore (hydrostratigraphy) lines -3D construction lines -3D georasters -3D geovolumes

NGIS Version 1.2 uses the NGIS Version 2.3.1 data model, a minor revision of which was released in April 2015.

The Bureau of Meteorology maintains the NGIS data model that standardises and spatially-enables the groundwater data.

The lead water agencies in each State/Territory (plus Water Corporation in Western Australia) export data from their corporate groundwater databases into State/Territory NGIS geodatabases including:

STATE/TERRITORY, AGENCY NAME, CURRENCY

ACT, Environment and Sustainable Development Directive, May 2014

NSW, Office of Water, July 2014

VIC, Department of Environment, Land, Water and& Planning, March 2014

SA, Department of Environment, Water and Natural Resources, November 2013

QLD, Department of Natural Resources and Mines, May 2014

WA, Department of Water, May 2014

WA, Water Corporation, February 2014

TAS, Department of Primary Industries, Parks, Water and Environment, November 2013

NT, Department of Lands Resource Management, August 2012.

The Bureau undertakes Quality Assurance/Quality Control (QA/QC) of the State/Territory geodatabases and integrates them into the national geodatabase.

~~~~~~~~~~~~~~ DATA ACCESS ~~~~~~~~~~~~~~~~ The entire NGIS geodatabase can be requested by email. Parts of the database can be downloaded from the Australian Groundwater Explorer.

Bores and bore log information from the System can be accessed and visualised using the Australian Groundwater Explorer, without using desktop GIS software. The Explorer also includes data not contained in the National Groundwater Information System, such as groundwater level time-series data. Landscape characteristic spatial layers, such as groundwater management areas and river regions can also be displayed to provide context to the groundwater data.

"Australian Groundwater Explorer" webmap url: http://www.bom.gov.au/water/groundwater/explorer/map.shtml
allows all data, per state, to be downloaded [use top icon near righthandside], or data by selected area (see the Groundwater Explorer's HELP link]. Data search can be filtered by status, purpose, agency, river region, sedimentary basin, or a drawn area. A plaintext version of the "Groundwater Explorer" [ http://www.bom.gov.au/water/groundwater/explorer/simple-location.php ] allows the search to be filtered by placename or lat/long, and a radius.

Bore locations in the Bay of Plenty Region.

Hydro Bores is a point feature of the location of publicly available bore monitoring sites maintained by the Department of Primary Industries and Regional Development. They are part of a network of bores designed to monitor regional scale salinity risk and salinity management trial sites. For further information refer to Department of Agriculture Resource Management Technical Report No.388. See also the 2014 report card - Groundwater trends in agricultural areas of Western Australia.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset contains the aquifer assignment results for the Queensland part of the Clarence-Moreton Basin. The data were organized by hydrostratigraphic units. Assigning a bore to a specific aquifer is underpinned by the screened interval data and the aquifer boundaries. In many cases, it is impossible to assign the screened interval of a bore to a single aquifer as bores are either screened across different aquifers or there is insufficient information on stratigraphy and screened intervals. Bores were assigned to aquifers by comparing their screen intervals and depth with aquifer boundary data. The required information was extracted from the "Casing", "Aquifer", and "Stratigraphy" tables of the DNRM database.

Dataset History

The following steps were followed during the aquifer assignment:

1. Determine the boundary of the aquifer of interest. The 'Aquifer' table in the DNRM database registers aquifers that a bore intersects when it is drilled and records the upper and lower extents of aquifers. This information was used to identify the aquifer boundary at any specific location. When boundary information was missing the 'Stratigraphy' table was used to identify aquifer boundaries instead.

   Determine the screen interval of bores. Refer to theThe 'Casing' table contains the screen information for most bores in the database. The codes 'PERF', 'SCRN' and 'ENDD' in the column 'MATERIAL' indicate water entry locations. The code 'OPEN' indicates that a bore is uncased at some depths; if bores intersect an aquifer, then they are considered as water supply points. These codes were used to find the screen interval of a bore. When multiple screens exist, the bore is assumed to be screened across the entire length of the individual screens.

2. Determine the screen code. A bore may tap into an aquifer in four ways depending on its screen location in aquifers. Four codes (I, T, B and E) were used to indicate the different spatial relationship of a bore with its targeted aquifer. When screen information is lacking, bores with their lower ends located in an aquifer are assumed to be tapped to that aquifer and were assigned a screen code 'BOI'.

3. Filter bores for a specific area using a shape file or coordinates. If only a part of the aquifer is of interest, then the output bores can be filtered based on their locations.

4. Cross-check the final datasets against expert knowledge and spatial context of aquifers. As errors are common in such databases, some errors will still persist despite extensive data quality checks. However, such errors are often highlighted during data interpretation and visual representation and can subsequently be corrected through an iterative process.

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Bore assignments QLD. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/f8937dd8-b3a0-490e-a452-9dc56fe03914.

Dataset Ancestors

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

• Derived From National Groundwater Information System (NGIS) v1.1

Abstract This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition. The layer provides source data for groundwater to the Victorian Water Resources Data Warehouse which was closed down November 2013. It contains selected extraction wells attributed to the specific model layers used in the Gippsland regional Groundwater Model. This was recently replaced by WMIS: http://data.water.vic.gov.au/monitoring.htm The latest update (Oct 2013) for this dataset is from the GMS (as all previous datasets have been). Next update will be from WMIS. ## Dataset History This dataset was not accompanied by any description of how it was developed. It is assumed that it is a selection of bore locations extracted from the WMIS which have been attributed with other data relating to model layers, extraction rates and aquifer details. Please refer to the Principal investigator Craig Beverly for details (Gippsland Groundwater model, Beverly et al 2015) The following description is provided by www.vvg.org.au. The WMIS is the statewide repository of groundwater bore information managed by the Department of Environment, Land, Water and Planning (DELWP) for the State Government Victoria. The data in the WMIS was migrated from the former Groundwater Management System (GMS) in 2013 and the current database holds groundwater information on approximately 220,000 boreholes throughout Victoria. The WMIS is also accessible directly through the DELWP groundwater portal. ## Dataset Citation Victorian Department of Economic Development, Jobs, Transport and Resources (2016) Extraction bores v1 Geodatabase. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/cca7757e-f108-4d09-ac5f-6ac6d30955b9.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The National Groundwater Information System (NGIS) geodatabase for was developed by lead water agencies from all States and Territories based on the NGIS data model, which was developed and maintained by the Bureau. Refer to the NGIS Data Dictionary and Schema Diagram (included) for further information on the NGIS data model.

The format for NGIS is an ESRI file geodatabase. ESRI ArcGIS Version 10 (or beyond) is needed to use NGIS.

The National Groundwater Information System (NGIS) is a geodatabase for storing nationally consistent groundwater data based on ESRI's ArcHydro for Groundwater data model. It focuses on bore and bore log (lithology, bore construction and hydrostratigraphy) data. It also includes georasters and geovolumes for selected areas.

The Bureau of Meteorology maintains the NGIS data model that standardises and spatially-enables groundwater data. The lead water agencies in each State/Territory (plus Water Corporation in Western Australia) export data from their corporate groundwater databases into State/Territory NGIS geodatabases. The Bureau of Meteorology maintains the NGIS data model and collates State/Territory geodatabases into the national geodatabase.

The data product extent is Geographic Australia (as defined by Acts Interpretation Act 1901). The product will be updated in December of each year following the receipt of updated State/Territory geodatabases at the end of September through the Water Regulations (Commonwealth legislation that requires agencies to deliver water data to the Bureau under the Water Act).

The NGIS contains the following datasets:

Bore - \tPoint feature class that represents the location of a bore and associated attributes. Multiple independently screened bore pipes are regarded as a separate bore features.

Bore log - Hydrostratigraphy log. Table with strata classified into hydrogeological units along a borehole

Lithology log\t- Table with driller's or geologist's description of rock or sediment types along a borehole

Construction log -\tTable with bore construction information along a borehole (e.g. casing and screen)

Bore line -\t3D line feature class that represents the hydrogeologic units along a borehole

Construction line\t- 3D line feature class that represents the construction information (e.g. casing and screen) along a borehole

Hydrogeologic unit -\tTable summarising hydrogeologic units and hydrogeologic complexes and their attributes. Includes both state/territory and National Aquifer Framework (NAF) terminology.

Dataset History

The National Groundwater Information System is a spatial database that contains a range of groundwater information submitted by States and Territories. The system contains more than 800,000 bore locations with associated lithology logs, bore construction logs and hydrostratigraphy logs. 2D and 3D aquifer geometries are also available for some areas.

Hydrogeologic units within the system have been standardised for national consistency using the National Aquifer Framework.

For documentation on the data model, data dictionary and data product specification:

http://www.bom.gov.au/water/groundwater/ngis/documentation.shtml

Dataset Citation

Bureau of Meteorology (2013) National Groundwater Information System (NGIS) v1.1. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/e157b1cd-3cb7-4cf9-a13c-a6bed576b8c7.

Abstract

This dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset was created to extract drawdown values for economic bores in the MBC subregion for corresponding aquifer model layers. Bores included those held in the MBC Asset Database (element bore point) and additional bores used in the OGIA groundwater model (UWIR bores). Drawdown statistics were therefore related to the specific aquifer in which bores were located as this did not necessarily coincide with the uppermost formation of the regional water table aquifer.

Dataset History

Element points AUID for FAE, join AssetList, join tbl_EconomicQLD, fliter by economic, water dependent, subsurface, total bores = 3537

To assign bores to aquifer/model layer:

Join UWIR (OGIA model) bores by HydroID/RN to give model layer (3333 of 3537 match, 204 do not).

For 204 with no UWIR bore records, layer 1 was assigned using AssetDB groundwater management zone query: Management IN ( 'Central Condamine Alluvium Groundwater Management Area', 'Oakey Creek Groundwater Management Area', 'Toowoomba City Basalts Groundwater Management Area', 'Toowoomba Groundwater Unsupplemented', 'Upper Hodgson Creek Groundwater Management Area', 'Warwick (War) Groundwater Unsupplemented') resulting in 135 of 204 bores assigned to layer 1.

Further 24 bores assigned aquifer/layer based on QDRM data. Remaining 45 bores assigned to regional watertable (i.e. uppermost aquifer at bore location).

Economic asset bore drawdown:

Element bore points with layer numbers used to extract values from corresponding drawdown rasters (layers 1,3,5,7/8,10,12).

Element bores in regional watertable:

Manual process of selecting bores in each layer and filtering out those where the bore layer does not match the regional watertable aquifer layer, generated 8 feature classes Element_Bores_rwt_L1 (L2, L3, L4, L5, L78, L10, L12) (2440+44+27+1+33+8+9+5=2567 bores in RWT) that were merged into one layer of economic asset bores in RWT.

UWIR (OGIA model) bores assessment unit table:

UWIR bores were imprinted with corresponding assessment unit identifier.

Dataset Citation

Bioregional Assessment Programme (2016) MBC economic bores drawdown by aquifer layer. Bioregional Assessment Derived Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/6cba9c1f-e8f4-4a74-ad50-1e8513a88d15.

Dataset Ancestors

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204

• Derived From Private bores used in the groundwater model for the Surat Underground Water Impact Report 2012

• Derived From Surface Geology of Australia, 1:1 000 000 scale, 2012 edition

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 16 June 2015

• Derived From South East Queensland GDE (draft)

• Derived From Geofabric Surface Cartography - V2.1

• Derived From Environmental Asset Database - Commonwealth Environmental Water Office

• Derived From QLD Dept of Natural Resources and Mines, Surface Water Entitlements 131204

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From Catchment Scale Land Use of Australia - 2014

• Derived From MBC Groundwater model domain boundary

• Derived From Key Environmental Assets - KEA - of the Murray Darling Basin

• Derived From Bioregional Assessment areas v03

• Derived From MBC Groundwater model ACRD 5th to 95th percentile drawdown

• Derived From Queensland wetland data version 3 - wetland points

• Derived From Receptors for the Maranoa-Balonne-Condamine subregion

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From Victoria - Seamless Geology 2014

• Derived From Baseline drawdown Layer 1 - Condamine Alluvium

• Derived From Matters of State environmental significance (version 4.1), Queensland

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 9 June 2015

• Derived From Queensland wetland data version 3 - wetland areas.

• Derived From Groundwater Preliminary Assessment Extent (PAE) for the Maranoa Balonne Condamine (MBC) subregion - v02

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 05 February 2016

• Derived From MBC Groundwater model layer boundaries

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From QLD Department of Natural Resources and Mining Groundwater Database Extract 20131111

• Derived From MBC Assessment unit codified by regional watertable

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014

• Derived From MBC Assessment Units 20160714 v02

• Derived From Surat CMA private bores uses

• Derived From MBC Groundwater model water balance areas

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 25 February 2015

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal

• Derived From QLD DNRM Surface Water Licences linked to Spatial Locations - v1 20140313

• Derived From Spring vents assessed for the Surat Underground Water Impact Report 2012

• Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

• Derived From NSW Office of Water GW licence extract linked to spatial locations NIC v2 (28 February 2014)

• Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 26 June 2015

• Derived From Geofabric Surface Catchments - V2.1

• Derived From [National Groundwater

Abstract This dataset includes information on groundwater bores and was used to produce summary statistics on bore depth and flow rates, as well as the location of petroleum data used to assess the shale, tight and deep coal gas prospectivity in the Cooper Basin. Datasets with location point/line data are: pressure, reservoir properties, interpreted seismic lines. ## Attribution Geological and Bioregional Assessment Program ## History Datasets were derived using various ESRI tools for the purposes of geological interpretation analysis. These were based on summary statistical analyses of bores within both the SA and Qld portion of the Cooper GBA region. Seismic coverage was generated by Cooper GBA program staff after assessment of the available survey data.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset contains two EXCEL spreadsheets:

1) a spreadsheet showing the location (easting and northing) of groundwater bores in the Logan-Albert river basin, the elevation of the bore location and the depth of the bore

2) a shreadsheet that contains the cleaned stratigraphic data of groundwater bores (in many cases converted from lithological logs in the QLD DNRM groundwater database).

Dataset History

This dataset contains two EXCEL spreadsheets:

1) a spreadsheet showing the location (easting and northing) of groundwater bores in the Logan-Albert river basins, the elevation of the bore location and the depth of the bore

2) a shreadsheet that contains the cleaned stratigraphic data of groundwater bores (in many cases converted from lithological logs in the QLD DNRM groundwater database).

The following steps were involved in deriving the stratigraphic logs of the groundwater bores:

1) Ensure consistent use of terminology and spelling.

2) Identification of geological inconsistencies or geological errors

3) Verification of bore elevation data.

4) Simplification of lithological logs.

5) Conversion of lithological logs into stratigraphic logs.

The procedure is described in detail in Clarence-Moreton bioregional assessment product 2.1 (Raiber et al., 2016).

Dataset Citation

Bioregional Assessment Programme (XXXX) Logan-Albert GW bores stratigraphy. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/5ba6ab69-8442-4697-863e-e02ac4b049d0.

Dataset Ancestors

• Derived From QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808

Water resources data for Christmas Island were assembled as part of ongoing groundwater investigations and monitoring undertaken on Christmas Island during the period from October 1996 to June 1999. The 1996 bores and wells data shows point location of the monitoring bores that were installed in 1996. Accuracy: These sites have been located by DGPS survey information collected as part of the reports. The accuracy of these points should fall within ± 20m. Layers were supplied as ESRI shapefiles …Show full descriptionWater resources data for Christmas Island were assembled as part of ongoing groundwater investigations and monitoring undertaken on Christmas Island during the period from October 1996 to June 1999. The 1996 bores and wells data shows point location of the monitoring bores that were installed in 1996. Accuracy: These sites have been located by DGPS survey information collected as part of the reports. The accuracy of these points should fall within ± 20m. Layers were supplied as ESRI shapefiles in CIG85 projection. In September 2003, Geoscience Australia projected these shapefiles into the MGA (GDA94) projection using an XY (X=550015, Y=8780001) shift. Disclaimer

Abstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. The aim of deriving this dataset was to be able to estimate groundwater quality and location of each groundwater bore with respect to the water source area in the Gloucester subregion. An estimation of groundwater salinity is made based on the total dissolved solids (TDS) values reported in the original data sets provided by the NSW Office of Water. This has been clipped to the Gloucester subregion. A spatial dataset (point shapefile GLO_Bore_extractions.shp) has been derived from this data for report map purposes. Also the point TDS values have been interpolated into surfaces (separate Aquifer and Fractured Rock). These spatial data derivations are also included in the dataset. Dataset History Bore locations in the Gloucester NGIS Bores database that were spatially located withing the Gloucester subregion boundary were extracted and filed. Bores with groundwater quality in the NSW Office of Water Groundwater Quality extract 28_nov_2013 database that were spatially located withing the Gloucester subregion boundary were extracted and filed. Based on the salinity/electrical conductivity values reported in the NSW Office of Water Groundwater Quality extract 28_nov_2013 database, total dissolved solids values were estimated and filed. Bore were classified as "alluvium" and "fractured rock" based on depth of the bore from the surface as reported in the Gloucester NGIS Bores database. Bore with a depth less than 15 m and between 15m to 150 m were classified as alluvium and fractured rock bores respectively. Bore points were separated into "alluvium" and "fractured rock" and their TDS values interpolated (ArcGIS TOPOGRID Spline) into two respective TDS surfaces. Surface extent was constrained to an arbitrary envelope around the data points. The interpolation bounding polygons are also included in this dataset as shapefiles. Dataset Citation Bioregional Assessment Programme (2015) Gloucester Groundwater Quality 20150106. Bioregional Assessment Derived Dataset. Viewed 14 June 2016, http://data.bioregionalassessments.gov.au/dataset/32cea193-791e-48aa-9341-4c9ec311a678. Dataset Ancestors Derived From NSW Office of Water Groundwater Quality extract 28_nov_2013 Derived From Gloucester NGIS bores Derived From National Groundwater Information System (NGIS) v1.1

Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition.

The data comprises a selection of groundwater bores with salinity measurements in a n ESRI shapefile format. The data includes BoreID, location coordinates as Latitude/Longitude and East/North in GDA94 Zone 55 projection.

Each bore has 3 rounds of salinity measurement recorded in Total Dissolved Salts (TDS), mg/L.

Each Bore is also attributed with the VAF letter code (eg UTQA) for the sampled aquifer and a vaf number code (eg 102) for the assigned Aquifer (Upper, Middle1, Middle2, Lower)

A Median value for TDS mg/L is given for each bore

Purpose

Three rounds of groundwater sampling were conducted in the Gippsland region on a total of 30 bores. Groundwater salinity has been measured according to Total Dissolved Solids (TDS) concentration

Dataset History

This data set supersedes Salinity Bores

Three rounds of groundwater sampling were conducted in the Gippsland region on a total of 30 bores. Groundwater salinity has been measured according to Total Dissolved Solids (TDS) concentration.

The results from this sampling program are presented with these salinity maps to show the distribution of salinity in each aquifer.

The data were provided as a MS Excel spreadsheet and then developed into a spatial data set for display.

The method of determining TDS was not provided.

Dataset Citation

Bioregional Assessment Programme (2016) Salinity bores V1. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/e5b675dc-eadc-4179-9f74-614b92dd0afa.

Dataset Ancestors

• Derived From Extraction bores v1 Geodatabase

This dataset contains information for boreholes that record groundwater chloride concentration levels sourced from the Victorian Groundwater Management System (GMS). It could be used in conjuction with the chloride deposition in rainfall dataset (developed by the CSIRO) to undertake a mass balance analysis to derive groundwater recharge.

Legacy product - no abstract available

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This resource is shapefile containing bore water levels for the Namoi subregion for June 2012. The data is used to plot 'depth to water' with colour ramp on points as used in the figure for the Namoi 2.5 product.

Dataset History

The dataset was created as a shapefile from the Namoi NGIS Bore Analysis table for the year 2012.

Dataset Citation

Bioregional Assessment Programme (2017) Namoi bore locations, depth to water for June 2012. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/1deed9de-9299-4092-a68d-57852acf1a0c.

Dataset Ancestors

• Derived From Bioregional Assessment areas v02

• Derived From Gippsland Project boundary

• Derived From Geological Provinces - Full Extent

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Bioregional Assessment areas v03

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Namoi NGIS Bore analysis for 2012

• Derived From GIS analysis of HYDMEAS - Hydstra Groundwater Measurement Update: NSW Office of Water - Nov2013

• Derived From Bioregional Assessment areas v01

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From GEODATA TOPO 250K Series 3

• Derived From Victoria - Seamless Geology 2014

• Derived From Bioregional Assessment areas v04

• Derived From Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013

Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition.

It represents selected stock and domestic bores used as pump sites during the Gippsland Regional groundwater model project. The original bore location and identification may have been derived from available bore hole databases (DSE data), however the data have been attributed with further fields.

Purpose

Stock and domestic - Victorian state-wide stock and domestic data was provided by DSE and included location, completion date, top of screen and annual extraction volume.

Dataset History

Description provided by www.vvg.org.au. The WMIS is the statewide repository of groundwater bore information managed by the Department of Environment, Land, Water and Planning (DELWP) for the State Government Victoria. The data in the WMIS was migrated from the former Groundwater Management System (GMS) in 2013 and the current database holds groundwater information on approximately 220,000 boreholes throughout Victoria. The WMIS is also accessible directly through the DELWP groundwater portal.

Dataset Citation

Victorian Department of Environment, Land, Water and Planning (2015) Stock and domestic bores used as pump sites in Gippsland. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/ce4f65bd-1d8b-4684-b69b-5212a3194dc8.