River, stream, dam and bore data displayed on a map.

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.

Data from over 5000 monitoring stations measuring water quality and quantity across NSW. Real-time data for river levels and flows; storage elevations, temperature and turbidity; and bore water levels. You can see data for rivers and streams, dams, and groundwater in spatial form on a map.

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.

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 derived from groundwater data provided by the NSW Office of Water. You can find a link to the source dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This dataset represents the best available Groundwater entitlement data available for the Gloucester PAE at the time of Writing. 26/03/2015

This data has been created where possible to assign Groundwater volume entitlement information from the NSW office of Water licencing systems where possible to a location in the Gloucester PAE.

Please note licencing information in NSW can be difficult to assign to a location. If a licence is in the process of being traded it may not be tied to a location at the time of data extraction hence it is also difficult to reproduce exact figures to match previous or published sources.

The data included here is primarily from a prepackaged extract from the NSW Office of Water of their definition of the Glouster region. An overlay of their bore data shows that this area would represent most of the allocation activity in the BA Glouster PAE. This data has also been cross checked with NSW Office of Water fact sheets.

Purpose

Processing Groundwater Economic Assets for Gloucester.

Dataset History

This data was primarily created from a prepackaged extract from the NSW Office of Water for their definition of the Glouster region. (date)

The primary file "Gloucester_Basin_Licensed_Bores.csv" included a works number which could be joined to an extract of the National Groundwater Information system (NSW update, Nov 2014 - include GUID).

Tables with volume were then joined by licence number and volume allocated per works (bore in this case).

As significant volumes did not join to a bore other information was sourced to join these to a location.

The following two data sources provided information to join volumes to a location in the area.

1) Geoscience Mining locations - The centroid of the min property was used to assign volume to

2) Publication listing the other Industry agriculture bores (Water Management Plan for the Tiedman

Irrigation Program - Gloucester, May 2012) - A property number for the licences without locations were found here and these were identified from the NSW Cadastre website:http://maps.six.nsw.gov.au/

3) Water Sharing Plans, GMU Feb, 2015

Dataset Citation

Bioregional Assessment Programme (2015) Groundwater Economic Assets GLO 20150326. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/2e314212-0677-40b8-86ff-c5166c6906bd.

Dataset Ancestors

• Derived From Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320

• Derived From Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

Please note this dataset has now been superceeded by the following dataset which has been incorporated into the latest Asset database:

7174b44f-7146-4b70-a77f-b55c989a3278 Groundwater Economic Elements Hunter NSW 20150520 PersRem v02

This dataset has been created to represent Groundwater Economic Elements in the Hunter region.

Please note this dataset has not grouped Elements into Assets but this could easily be done using Water Sharing Plans of NSW.

The dataset was created from a new data extract (8 individual files) supplied by the NSW Office Of Water on 24/03/2015, (19697f0a-4513-42a4-a7ce-4e00f48a715a)

Every effort has been made to link volumes to the correct spatial feature using National Groundwater Information System, Extract from NSW (6c364d09-fc3b-47c3-aa98-6c702d3d8137) bores and mines from Geoscience Mining dataset (65c0c042-1ba8-47a8-9793-4363672500b9)

NGIS mines that did not link to volumes were also included.

The primary field for correct volume per element is called "VolPerElement"

Purpose

This dataset has been created to represent Groundwater Economic Elements in the Hunter region.

Dataset History

This file has been created from the following data extracts provided by NSW Office of Water.

NorthCoastHunterMZ_Current_Approvals.csv

NorthCoastHunterMZ_GW_lics_by_WS (2).csv

NorthCoastHunterMZ_PT.csv

NorthCoastHunterMZ_WALs.csv

NorthCoastMurrurundiSingletonMZ_Current_Approvals.csv

NorthCoastMurrurundiSingletonMZ_GW_lics_by_WS (2).csv

NorthCoastMurrurundiSingletonMZ_PT.csv

NorthCoastMurrurundiSingletonMZ_WALs.csv

This was provided as a pre-packaged extract of what NSW office of Water classify as their HUNTER region and therefore does not match the exact Hunter PAE however from a visual inspection of a pdf map provided by NSW office of Water it was seen as fit for purpose

Processing steps

Join licences to a bore location

1) Select NGIS bores within Hunter PAE: NGIS_HUNTER25032015

2) Join NGIS_HUNTER25032015.[StateBoreId] to NorthCoastMurrurundiSingletonMZ_GW_lics_by_WS (2).csv.[WORK_NO]

3) Join Volume to bore location (WORKS)

4) Join [NorthCoastMurrurundiSingletonMZ_GW_lics_by_WS (2).csv.LICENSE] to NorthCoastMurrurundiSingletonMZ_WALs.csv.[LINKED_TO_WA_CA]

Please note that where large volumes could not be assigned to a bore they were assigned to a mining location from Geoscience Australia mining dataset (see lineage and records in data file).

Dataset Citation

Bioregional Assessment Programme (2015) Groundwater Economic Assets Hunter NSW 20150331 PersRem. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/ca620380-3d67-43bb-811a-3cafdf41056a.

Dataset Ancestors

• Derived From Operating Mines OZMIN Geoscience Australia 20150201

• Derived From Groundwater Entitlement Hunter NSW Office of Water 20150324

• Derived From NSW Office of Water - National Groundwater Information System 20141101v02

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 allocation data for the NSW part of the Clarence-Moreton Basin. The data were organized by geological formations. The data were sourced from the NSW state allocation database (GUID = 0f4da0d0-9e82-42f3-84da-1148e0b730c1). The data indicate that the Woogaroo Subgroup is being pumped most intensively. However, most bores in other major aquifers, such as the alluvium and Grafton Formation, have an allocation entry of zero in the state database. For example, 653 of 702 alluvial bores are assigned an allocation of zero in the database. One main reason for this is that no allocation is planned for most domestic and stock bores because they belong to the basic water right licence. Thus, this summary may not reflect the reality. The rows with a zero entry have been removed in this version in order to create an allocation distribution map.

Dataset History

This dataset was compiled through the following process:

1. Spatially filter the NSW bore allocations dataset using the preliminary assessment extent (see Lineage) of the Clarence-Moreton Basin.

2. Organize records by aquifers.

3. Remove the records with zero and empty entries.

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Bore allocations NSW v02. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/2a7f1f7a-586a-4e1d-8f04-25818ca0d194.

Dataset Ancestors

• Derived From CLM Preliminary Assessment Extent Definition & Report( CLM PAE)

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Bioregional Assessment areas v03

• Derived From CLM16gwl NSW Office of Water Groundwater Licence Extract Clarence Moreton- Oct 2013

• Derived From CLM16gwl NSW Office of Water_GW licence extract linked to spatial locations_CLM_v3_13032014

• Derived From QLD Petroleum Leases, 28/11/2013

• Derived From CLM - Bore allocations NSW

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From QLD Current Exploration Permits for Minerals (EPM) in Queensland 6/3/2013

• Derived From GEODATA TOPO 250K Series 3

• Derived From NSW Office of Water Groundwater Entitlements Spatial Locations

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

• Derived From CLM16gwl NSW Office of Water, GW licence extract linked to spatial locations in CLM v2 28022014

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

Abstract The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. The aim of this dataset was to be able to map each groundwater works with the volumetric entitlement without double counting the volume and to aggregate/ disaggregate the data depending on the final use. This has not been clipped to the NIC PAE, therefore the number of economic assets/ relevant licences will drastically reduce once this occurs. The Northern_Inland_Catchment groundwater licences includes an extract of all licences that fell within the data management acquisition area as provided by BA to NSW Office of Water. ## Dataset History Aim: To get a one to one ratio of licences numbers to bore IDs. Important notes about data: Data has not been clipped to the PAE. No decision have been made in regards to what purpose of groundwater should be protected. Therefore the purpose currently includes groundwater bores that have been drilled for non-extractive purposes including experimental research, test, monitoring bore, teaching, mineral explore and groundwater explore No volume has been included for domestic & stock as it is a basic right. Therefore an arbitrary volume could be applied to account for D&S use. Instructions 1) Original spread sheets (GUID= 808fd05a-f451-4170-a1d3-8439105c0273) have mulitple licence instances if there are more than one WA/CA number. This means that there are mpre than one works or permit to the licence. The aim is to only have one licence instance. 2) The individual licence numbers were combined into one column 3) Using the new column of licence numbers, several vlookups were created to bring in other data. Where the columns are identical in the original spreadsheets, they are combined. The only ones that dont are the Share/Entitlement/allocation, these mean different things. 4) A hydro ID column was created, this is a code that links this NSW to the NGIS, which is basically a ".1.1" at the end of the bore code. 5) All 'cancelled' licences were removed 6) A count of the number of works per licence and number of bores were included in the spreadsheet. 7) Where the ShareComponent = NA, the Entitlement = 0, Allocation = 0 and there was more than one instance of the same bore, this means that the original licence assigned to the bore has been replaced by a new licence with a share component. Where these criteria were met, the instances were removed 8) a volume per works ensures that the volume of the licence is not repeated for each works, but is divided by the number of works Refer to the Bioregional assessment data conversion script for further detail ## Dataset Citation Bioregional Assessment Programme (2014) NSW Office of Water GW licence extract linked to spatial locations NIC v2 (28 February 2014). Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/505e8a67-90b4-408a-aa0d-038a9fb14f42. ## Dataset Ancestors * Derived From NSW Office of Water Groundwater Entitlements Spatial Locations * Derived From NSW Office of Water Groundwater Licence Extract NIC- Oct 2013

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 the known details at the time of acquisition.

This extract was obtained to replace a previous licence entitlement extract provided by the NSW Office of water as part of the feedback to the programme. The dataset includes groundwater entitlements for the area of interest and drilling depths of the groundwater bores.

Note this dataset is restricted as it contains fields which may be used to identify individuals. The data is being stored at a secure location by the Bureau of Meteorology.

This dataset has been provided to the BA Programme for use within the programme only. Third parties may request a copy of the data from DPI Water (previously known as the NSW Office of Water) at http://www.water.nsw.gov.au/.

Dataset History

In the attached ZIP file are 6 files, of which 3 files cover an area of interest (Murrundi to Singleton management zone) where most of the Hunter mining takes place, the other 3 files relate to the rest of the area.

NorthCoastMurrurundiSingletonMZ_WALs. As this file has 20AL numbers, these are WMA bores, hence these licences are for alluvial systems and not Sydney Basin as Sydney Basin is still under the WA (1912) and don't have AL number yet. Hence this extract relates to all commercial/access type licences within the Hunter alluvial systems that lie within the MurrurundiSingleton MZ

NorthCoastMurrurundiSingletonMZ_Current_Approvals. As per above but relates too Basic Rights only licences within the MurrurundiSingleton MZ

NorthCoastMurrurundiSingletonMZ_PT. This extract contains all the WA commercial/access licences within Sydney Basin within the MurrurundiSingleton MZ The total allocations here likely represents the Sydney Basin Porous Rocks (It may also include Liverpool Basalts/Oxley Basin).

NorthCoastHunterMZ_Current_Approvals. This extract contains all WMA Basic Rights Licences issued under the Water the Hunter Management zone. This covers both Kulnura Mangrove Mt WSP, all the alluvial systems and Tomago Sands

NorthCoastHunterMZ_WALs. This extract contains all WMA Access licences in Hunter Mgm't Zone covering all alluvial systems plus Kulnura-Mangrove Mt WSP, and Tomago Sand Dunes.

NorthCoastHunterMZ_PT. This appears to contains all Pty accounts for Hunter MZ, i.e it covers both coastal sands, Central Coast alluvium and SydBasin Porous Rock, Liverpool Basalts Oxley Basin from what I can see.

Also attached are two csv files, this is the same info in the six zip files but divided into the two management zones. It contains all the drill depths etc. You can simply just add all both of these files together to get a list of licences across the area shown in the map.

Dataset Citation

NSW Office of Water (2015) Groundwater Entitlement Hunter NSW Office of Water 20150324. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/19697f0a-4513-42a4-a7ce-4e00f48a715a.

Abstract

This dataset was derived from groundwater data provided by the NSW Office of Water. You can find a link to the source dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

The aim of this dataset was to be able to estimate the volumetric entitlement for each groundwater works/bores and its location relative to the water source area in the Gloucester subregion. An estimation of volumetric extraction is made based on the yield 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 National_Groundwater_Information_System_v1.1_Sept2013 database that were spatially located withing the Gloucester subregion boundary were extracted and filed.

Groundwater works with the volumetric entitlement in the NSW Office of Water_GW licence extract linked to spatial locations_GLO_v5_UID_elements_27032014 database that were spatially located withing the Gloucester subregion boundary were extracted and filed.

Based on the Yield values reported in the NSW Office of Water_GW licence extract linked to spatial locations_GLO_v5_UID_elements_27032014 databse, groundwater extraction volumes were estimated and filed.

Dataset Citation

Bioregional Assessment Programme (2015) Gloucester groundwater usage estimates. Bioregional Assessment Derived Dataset. Viewed 14 June 2016, http://data.bioregionalassessments.gov.au/dataset/95722814-6f7c-42e9-b9a2-0698348661ad.

Dataset Ancestors

• Derived From NSW Office of Water GW licence extract linked to spatial locations -GLO v5 UID elements 27032014

• Derived From NSW Office of Water Groundwater Licence Extract Gloucester- Oct 2013

• Derived From NSW Office of Water Groundwater licence extract linked to spatial locations GLOv2 19022014

• Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014

• Derived From Gloucester NGIS bores

• Derived From NSW Office of Water Groundwater Entitlements Spatial Locations

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

• Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014

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.

The aim of this data set was to be able to map the salinity (EC) of groundwater bores in the Namoi sub-region.

This has been clipped to the Namoi sub-region but not the Namoi PAE. The data set was clipped to post-1970 to avoid potentially imprecise values.

The data set is an extract of all groundwater quality measurements from groundwater bores that fell within the data management acquisition area as provided by BA to NSW Office of Water. The salinity (EC) was categorised according to the groundwater use categories and aggregated into the following categories: 'Drinking' (up to 1500 uS/cm), 'irrigation' (1500 uS/cm - 7999 uS/cm), 'livestock' (8000 uS/cm - 19999 uS/cm) and '>20,000 uS/cm'.

Purpose

This data set was derived to complete the water quality section of Product 1.5 for the Namoi Bioregional Assessment

Dataset History

The data set is an extract of all groundwater quality measurements from groundwater bores that fell within the data management acquisition area as provided by BA to NSW Office of Water.

This has been clipped to the Namoi sub-region but not the Namoi PAE. Data (EC) pre-1970 was deleted from the original data set to avoid potentially imprecise values.

The salinity (EC) was categorised according to the groundwater use categories and aggregated into the following categories: 'Drinking' (up to 1500 uS/cm), 'irrigation' (1500 uS/cm - 7999 uS/cm), 'livestock' (8000 uS/cm - 19999 uS/cm) and '>20,000 uS/cm'.

Dataset Citation

Bioregional Assessment Programme (2015) Namoi NSW Office of Water groundwater EC (sampled post 1970). Bioregional Assessment Derived Dataset. Viewed 02 May 2016, http://data.bioregionalassessments.gov.au/dataset/b5dd0f26-1afa-4a86-8c41-0ed56f86843e.

Dataset Ancestors

• Derived From NoW Namoi Water Quality - groundwater

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.

Contains the files and R scripts used for creating interpolated surfaces of depth to groundwater and contour maps of piezometric surfaces for dry (200 - 2007) and wet (2008 - 2012) periods in the the Gatton Sandstone. Piezometric surfaces and depth to groundwater surfaces are created using ordinary kriging in R. The data used come from the bores in the QLD and NSW groundwater databases (see data lineage).

Dataset History

Groundwater hydraulic head data from the NSW and QLD databases (see data lineage) was extracted by selecting only those data collected between 2000 and 2012 and that fell within the boundary shapefiles for the alluvial bodies. Elevation data from the DEM was appended to the spatial locations for each groundwater bore in the dataset. Ordinary kriging was then performed in R to create interpolated surfaces for depth to groundwater and piezometric surfaces. The kriging makes use of the digital elevation model as a covariate for aiding prediction. The R scripts output pdf maps of the surfaces for the Gatton Sandstone. Maps are produced for for the dry period (2000 - 2007) and wet period (2008 - 2012) and show the predicted surface in addition to the prediction standard deviation.

The R script also outputs the rasters used to create these maps to .asc files (ascii grids). There are four such ascii grids:

1. PiezometricSurface_Dry.asc (the estimated piezometric surface in the dry years which has been clipped to shapefiles to produce the .pdf maps)

2. PiezometricSurface_SD_Dry.asc (the estimated standard deviation of the piezometric surface in the dry years which has been clipped to shapefiles to produce the .pdf maps)

3. PiezometricSurface_Wet.asc (the estimated piezometric surface in the wet years which has been clipped to shapefiles to produce the .pdf maps)

4. PiezometricSurface_SD_Wet.asc (the estimated standard deviation of the piezometric surface in the wet years which has been clipped to shapefiles to produce the .pdf maps)

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Interpolated piezometric surfaces for Gatton sandstone. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/d5843d63-e5c0-4644-9de6-783db2eb36b0.

Dataset Ancestors

• Derived From CLM - Bore water level QLD

• Derived From Qld 100K mapsheets - Mount Lindsay

• Derived From Qld 100K mapsheets - Helidon

• Derived From Qld 100K mapsheets - Ipswich

• Derived From Qld 100K mapsheets - Toowoomba

• Derived From Qld 100k mapsheets - Warwick

• Derived From CLM - DEM in ascii format

• Derived From CLM - Geology NSW & Qld combined v02

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Qld 100k mapsheets - Kingaroy

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

• Derived From GEODATA TOPO 250K Series 3

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From CLM - Gatton Sandstone extent

• Derived From Qld 100K mapsheets - Allora

• Derived From Qld 100K mapsheets - Jandowae

• Derived From Bioregional Assessment areas v03

• Derived From Qld 100K mapsheets - Esk

• Derived From CLM - Qld Surface Geology Mapsheets

• Derived From Clarence-Moreton SEEBASE & Structural GIS Project data.

• Derived From CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion

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

• Derived From Qld 100k mapsheets - Beenleigh

• Derived From Qld 100K mapsheets - Caboolture

• Derived From Qld 100k mapsheets - Murwillumbah

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

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From Qld 100K mapsheets - Inglewood

• Derived From Qld 100K mapsheets - Oakey

• Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

• Derived From CLM - Bore water level NSW

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.

Contains the files and R scripts used for creating interpolated surfaces of depth to groundwater and contour maps of piezometric surfaces for dry (2000 - 2007) and wet (2008 - 2012) periods in the the Walloon Coal Measures. Piezometric surfaces and depth to groundwater surfaces are created using ordinary kriging in R. The data used come from the bores in the QLD and NSW groundwater databases (see data lineage).

Dataset History

Groundwater hydraulic head data from the NSW and QLD databases (see data lineage) was extracted by selecting only those data collected between 2000 and 2012 and that fell within the boundary shapefiles for the alluvial bodies. Elevation data from the DEM was appended to the spatial locations for each groundwater bore in the dataset. Ordinary kriging was then performed in R to create interpolated surfaces for depth to groundwater and piezometric surfaces. The kriging makes use of the digital elevation model as a covariate for aiding prediction. The R scripts output pdf maps of the surfaces for the Walloon Coal Measures. Maps are produced for for the dry period (2000 - 2007) and wet period (2008 - 2012) and show the predicted surface in addition to the prediction standard deviation.

The R script also outputs the rasters used to create these maps to .asc files (ascii grids). There are four such ascii grids:

1. PiezometricSurface_Dry.asc (the estimated piezometric surface in the dry years which has been clipped to shapefiles to produce the .pdf maps)

2. PiezometricSurface_SD_Dry.asc (the estimated standard deviation of the piezometric surface in the dry years which has been clipped to shapefiles to produce the .pdf maps)

3. PiezometricSurface_Wet.asc (the estimated piezometric surface in the wet years which has been clipped to shapefiles to produce the .pdf maps)

4. PiezometricSurface_SD_Wet.asc (the estimated standard deviation of the piezometric surface in the wet years which has been clipped to shapefiles to produce the .pdf maps)

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Interpolated piezometric surfaces for Walloon Coal measures. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/0e40417a-9ac1-4b04-afb4-e38276f08f61.

Dataset Ancestors

• Derived From CLM - Bore water level QLD

• Derived From Qld 100k mapsheets - Warwick

• Derived From Qld 100K mapsheets - Helidon

• Derived From Qld 100K mapsheets - Ipswich

• Derived From Qld 100K mapsheets - Toowoomba

• Derived From CLM - Walloon Coal Measures spatial extent

• Derived From CLM - DEM in ascii format

• Derived From CLM - Geology NSW & Qld combined v02

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Qld 100k mapsheets - Kingaroy

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

• Derived From GEODATA TOPO 250K Series 3

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From Qld 100K mapsheets - Allora

• Derived From Qld 100K mapsheets - Jandowae

• Derived From Bioregional Assessment areas v03

• Derived From Qld 100K mapsheets - Esk

• Derived From Qld 100K mapsheets - Mount Lindsay

• Derived From CLM - Qld Surface Geology Mapsheets

• Derived From Clarence-Moreton SEEBASE & Structural GIS Project data.

• Derived From CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion

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

• Derived From Qld 100k mapsheets - Beenleigh

• Derived From Qld 100K mapsheets - Caboolture

• Derived From Qld 100k mapsheets - Murwillumbah

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

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From Qld 100K mapsheets - Inglewood

• Derived From Qld 100K mapsheets - Oakey

• Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

• Derived From CLM - Bore water level NSW

The NSW Hydrography web service provides access to a topographic map of New South Wales showing hydrography-related features and drainage.\r \r The hydrography features provided through this web service include:\r \r * Waterfalls_springs\r * Bores\r * Hydroline\r * Named Watercourse\r * Damwall\r * StockDams\r * Reefs_Mangroves\r * HydroArea\r * Swamps_LSI\r * HydroArea_Main\r * Dams_Large\r * HydroArea_Large\r * Lakes_Major\r * Oceans_Bays\r \r - - - \r NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.\r - - -\r

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.

Contains the files and R scripts used for creating interpolated surfaces of depth to groundwater and contour maps of piezometric surfaces for dry (200 - 2007) and wet (2008 - 2012) periods in the the Woogaroo Subgroup. Piezometric surfaces and depth to groundwater surfaces are created using ordinary kriging in R. The data used come from the bores in the QLD and NSW groundwater databases (see data lineage).

This update correctly orientates the grids.

Dataset History

Groundwater hydraulic head data from the NSW and QLD databases (see data lineage) was extracted by selecting only those data collected between 2000 and 2012 and that fell within the boundary shapefiles for the alluvial bodies. Elevation data from the DEM was appended to the spatial locations for each groundwater bore in the dataset. Ordinary kriging was then performed in R to create interpolated surfaces for depth to groundwater and piezometric surfaces. The kriging makes use of the digital elevation model as a covariate for aiding prediction. The R scripts output pdf maps of the surfaces for the Woogaroo Subgroup. Maps are produced for for the dry period (2000 - 2007) and wet period (2008 - 2012) and show the predicted surface in addition to the prediction standard deviation.

The R script also outputs the rasters used to create these maps to .asc files (ascii grids). There are four such ascii grids:

1. PiezometricSurface_Dry.asc (the estimated piezometric surface in the dry years which has been clipped to shapefiles to produce the .pdf maps)

2. PiezometricSurface_SD_Dry.asc (the estimated standard deviation of the piezometric surface in the dry years which has been clipped to shapefiles to produce the .pdf maps)

3. PiezometricSurface_Wet.asc (the estimated piezometric surface in the wet years which has been clipped to shapefiles to produce the .pdf maps)

4. PiezometricSurface_SD_Wet.asc (the estimated standard deviation of the piezometric surface in the wet years which has been clipped to shapefiles to produce the .pdf maps)

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Interpolated piezometric surfaces for Woogaroo subgroup version 2. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/534dc61a-1b77-49cd-b0ee-bab6044d8a02.

Dataset Ancestors

• Derived From CLM - Bore water level QLD

• Derived From Qld 100k mapsheets - Warwick

• Derived From Qld 100K mapsheets - Helidon

• Derived From Qld 100K mapsheets - Ipswich

• Derived From CLM - Woogaroo Subgroup extent

• Derived From Qld 100K mapsheets - Toowoomba

• Derived From CLM - DEM in ascii format

• Derived From CLM - Geology NSW & Qld combined v02

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Qld 100k mapsheets - Kingaroy

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

• Derived From GEODATA TOPO 250K Series 3

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From Qld 100K mapsheets - Allora

• Derived From Qld 100K mapsheets - Jandowae

• Derived From Bioregional Assessment areas v03

• Derived From Qld 100K mapsheets - Esk

• Derived From Qld 100K mapsheets - Mount Lindsay

• Derived From CLM - Qld Surface Geology Mapsheets

• Derived From Clarence-Moreton SEEBASE & Structural GIS Project data.

• Derived From CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion

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

• Derived From Qld 100k mapsheets - Beenleigh

• Derived From Qld 100K mapsheets - Caboolture

• Derived From Qld 100k mapsheets - Murwillumbah

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

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From Qld 100K mapsheets - Inglewood

• Derived From Qld 100K mapsheets - Oakey

• Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

• Derived From CLM - Bore water level NSW

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.

Data used to produce the predicted Total Dissolved Solids map for the Cadna-owie - Hooray Aquifer in the Hydrogeological Atlas of the Great Artesian Basin (Ransley et.al., 2014).

There are four layers in the Cadna-owie - Hooray Aquifer Total Dissolved Solids map data

A. Location of hydrochemistry samples (Point data, Shapefile)

B. Predicted Concentration (Filled contours , Shapefile)

C. Predicted Concentration Contours (Contours, Shapefile)

D. Prediction Standard Error (Filled contours , Shapefile)

The predicted values provide a regional based estimate and may be associated with considerable error. It is recommended that the predicted values are read together with the predicted error map, which provides an estimate of the absolute standard error associated with the predicted values at any point within the map.

The predicted standard error map provides an absolute standard error associated with the predicted values at any point within the map. Please note this is not a relative error map and the concentration of a parameter needs to be considered when interpreting the map. Predicted standard error values are low where the concentration is low and there is a high density of samples. Predicted standard errors values can be high where the concentration is high and there is moderate variability between nearby samples or where there is a paucity of data.

Concentrations are Total Dissolved Solids mg/L.

Coordinate system is Lambert conformal conic GDA 1994, with central meridian 134 degrees longitude, standard parallels at -18 and -36 degrees latitude.

The Cadna-owie - Hooray Aquifer Total Dissolved Solids map is one of 14 hydrochemistry maps for the Cadna-owie - Hooray Aquifer and 24 hydrochemistry maps in the Hydrogeological Atlas of the Great Artesian Basin (Ransley et. al., 2014).

This dataset and associated metadata can be obtained from www.ga.gov.au, using catalogue number 81693.

References:

Hitchon, B. and Brulotte, M. (1994): Culling criteria for â standardâ formation water analyses; Applied Geochemistry, v. 9, p. 637â 645

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]

Dataset History

SOURCE DATA:

Data was obtained from a variety of sources, as listed below:

1. Water quality data from the Queensland groundwater database, Department of Environment and Resource Management

2. Geological Society of Queensland water chemistry database (1970s to 1980s). Muller, PJ, Dale, NM (1985) Storage System for Groundwater Data Held by the Geological Survey of Queensland. GSQ Record 1985/47. Queensland.

3. Geoscience Australia GAB hydrochemistry dataset 1973-1997. Published in Radke BM, Ferguson J, Cresswell RG, Ransley TR and Habermehl MA (2000) Hydrochemistry and implied hydrodynamics of the Cadna-owie - Hooray Aquifer, Great Artesian Basin, Australia. Canberra, Bureau of Rural Sciences: xiv, 229p.

4. Feitz, A.J., Ransley, T.R., Dunsmore, R., Kuske, T.J., Hodgkinson, J., Preda, M., Spulak, R., Dixon, O. & Draper, J., 2014. Geoscience Australia and Geological Survey of Queensland Surat and Bowen Basins Groundwater Surveys Hydrochemistry Dataset (2009-2011). Geoscience Australia, Canberra Australia

5. Water quality data from the Office of Groundwater Impact Assessment, Department of Natural Resources and Mines, Queensland Government

6. Geoscience Australia (2010) Hydrogeochemical collection. A compilation of quality controlled groundwater data taken from well completion reports from QLD and NSW.

7. Water quality data from the Office of Groundwater Impact Assessment, Department of Natural Resources and Mines, Queensland Government

BOUNDARIES:

Data covers the extent of the Cadna-owie-Hooray Aquifer and Equivalents as defined in Great Artesian Basin - Cadna-owie-Hooray Aquifer and Equivalents - Thickness and Extent dataset (Available from www.ga.gov.au using catalogue number 81678)

METHOD:

Groundwater chemistry data was compiled from the data sources listed above. Data was imported into ESRI ArcGIS (ArcMap 10) as data point sets and used to create a predicted values surface using an ordinary kriging method within the Geostatistical Analyst extension. A log transform was applied to the Alkalinity, TDS, Na, SO4, Mg, Ca, K, F, Cl, Cl36 data prior to kriging. No transform was applied to the 13C, 18O, 2H, pH data prior to kriging. The geostatistical model was optimized using cross validation. The search neighbourhood was extended to a 1 degree radius, comprising of 4 sectors (N, S, E and W) with a minimum and maximum of 3 and 8 neighbours, respectively, per sector. The predicted values surface was exported to a vector format (Shapefile) and clipped to the aquifer boundaries.

QAQC:

Prior to data analysis all hydrochemistry data was assessed for reliability by Quality Assurance/Quality Control (QA/QC) procedures. A data audit and verification were performed using various quality checking procedures including identification and verification of outliers.

The ionic balance of each analysis was checked, and where the ionic charge balance differed by greater than 10%, these analyses were deemed unacceptable and were not considered for future analysis.

Data that passed the initial QA/QC procedures were checked against borehole construction and stratigraphic records to determine aquifer intercepts. Data were discarded in cases where there was no recorded location information or screen interval/depth information (to cross reference with borehole stratigraphy). One exception was chemistry data obtained from the NSW Governments Triton database. Groundwater chemistry data obtained from bore records in the Triton database that was also identified as GAB bores in the NSW Governments Pinneena database were assumed to be in the Pilliga Sandstone and were allocated to the Cadna-owie Hooray equivalent aquifer, despite many not recording depth information.

Groundwater chemistry data was sourced from multiple studies, government databases, and companies. Many of the studies used sub-sets of the same data. All duplicates were removed before mapping and analysis. The differences between data sources had to be reconciled to ensure that maximum value of the data was retained and for errors in the transcription to be avoided. This precluded any automated processing system. Random checks were routinely made against the source data to ensure quality of the process. Some source data was in the form of thousands of consecutive rows and required python scripts or detailed table manipulations to correctly re-format the information and re-produce records with all the well data, its location and hydrochemical data for a particular sample date on one row in the collated Excel spreadsheet. Alkalinity measurements, in particular, were often reported differently between studies and even within the same database and required conversion to a common unit. All data before 1960 was discarded.

The study uses a data collection compiled from petroleum well completion reports from QLD and NSW. This data underwent a thorough QC process to ensure that drilling mud contaminated samples were excluded, based on the procedure described by Hitchon, B. & Brulotte, M. (1994). Less than 5% of the samples compiled passed the QC procedure, but these provide invaluable insight into the chemistry of very deep parts of the aquifers (typically 1 - 2km deep).

Where multiple samples have been taken at the same well, an average of the analyses was used in the kriging but outliers were removed. Outliers were identified by looking for large differences between predicted and measured samples. Excessively high values compared to predicted values and typical measurements at the same bore were discarded.

Dataset Citation

Geoscience Australia (2015) GABATLAS - Cadna-owie - Hooray Aquifer Total Dissolved Solids map: Data. Bioregional Assessment Source Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/5044a067-35d1-4d6d-98a6-17974aa9226a.

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 data set supercedes the previous Gloucester groundwater usage estimates data sets created in January 2015.

The aim of this dataset was to be able to estimate each groundwater works/bores with the volumetric entitlement and location of each groundwater bore with respective to the water source area in the Gloucester subregion. An estimation of volumetric extraction is made (in ML) based on the yield values reported in the updated data sets provided by the NSW Office of Water in March 2015. 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.

Dataset History

Bore locations in the National Groundwater Information System v1.1 Sept2013 database that were spatially located within the Gloucester subregion boundary were extracted and filed in the BA_SYD/GLO project area.

Groundwater works with the volumetric entitlement in the Glouster Economic Assets 26032015 database that were spatially located withing the Gloucester subregion boundary were extracted and filed in the BA_SYD/GLO project area.

Based on the Yield values reported in the Glouster_Economic Assets 26032015 database, groundwater extraction volumes were estimated and filed in the BA_SYD/GLO project area.

Dataset Citation

Bioregional Assessment Programme (2015) Gloucester Groundwater Usage Estimates v20150501. Bioregional Assessment Derived Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/fe43baa5-0fca-4e6a-8d56-0f5749c2da58.

Dataset Ancestors

• Derived From Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320

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

• Derived From Gloucester NGIS bores

• Derived From Groundwater Economic Assets GLO 20150326

• Derived From Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved

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. Dataset contains assessment units with attributes denoting their inclusion within surface water and groundwater zones potential hydrological change, groundwater mine footprints, reporting …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. Dataset contains assessment units with attributes denoting their inclusion within surface water and groundwater zones potential hydrological change, groundwater mine footprints, reporting regions, and surface water model interpolation allocations. Dataset also contains the river lines containing surface water modelling reaches and a relational table of surface water modelling node to reach ID interpolations. These data represent boundaries based on assessment units that are identical to their parent dataset (Namoi ZoPHC and component layers 20170629) but were reformatted for input to the IMIA anlaysis database for the Namoi subregion. Dataset History Modified allocation of river reaches to assessment units with the Zone of Potential Hydrological Change (ZOPHC) master file to align with input datasets. Dataset Citation Bioregional Assessment Programme (2017) NAM ZOPHC Master for impact and risk analysis 20170629. Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/00d84f32-82ef-46ae-908b-880a727fafaf. Dataset Ancestors Derived From Groundwater Zone of Impact for the Namoi subregion Derived From Namoi AWRA-R model implementation (post groundwater input) Derived From NSW Office of Water GW licence extract linked to spatial locations NIC v2 (28 February 2014) Derived From Namoi hydraulic conductivity measurements Derived From River Styles Spatial Layer for New South Wales Derived From Namoi AWRA-R (restricted input data implementation) Derived From Groundwater Preliminary Assessment Extent for the Namoi subregion Derived From Namoi groundwater uncertainty analysis Derived From Namoi NGIS Bore analysis for 2012 Derived From Australian 0.05º gridded chloride deposition v2 Derived From Geofabric Surface Network - V2.1 Derived From Border Rivers Gwydir / Namoi Regional Native Vegetation Map Version 2.0. VIS_ID 4204 Derived From Bioregional Assessment areas v06 Derived From GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008 Derived From Namoi GW mine footprints for IMIA 20170516 Derived From Bioregional Assessment areas v04 Derived From Namoi Leapfrog geological model Derived From NAM Analysis Boundaries 20160908 v01 Derived From Historical Mining Footprints DTIRIS NAM 20150914 Derived From Gippsland Project boundary Derived From NAM Assessment Units 20160908 v01 Derived From Natural Resource Management (NRM) Regions 2010 Derived From Namoi Environmental Impact Statements - Mine footprints Derived From Namoi CMA Groundwater Dependent Ecosystems Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From Soil and Landscape Grid National Soil Attribute Maps - Clay 3 resolution - Release 1 Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From NAM Riverstyles Stream Reaches for Impact and Risk Analysis 20170601 Derived From Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014 Derived From GEODATA TOPO 250K Series 3 Derived From NSW Office of Water Groundwater Licence Extract NIC- Oct 2013 Derived From Geological Provinces - Full Extent Derived From Namoi groundwater model alluvium extent Derived From Interim Biogeographic Regionalisation for Australia (IBRA), Version 7 (Regions) Derived From Surface Geology of Australia, 1:1 000 000 scale, 2012 edition Derived From Landscape classification of the Namoi preliminary assessment extent Derived From Namoi GW exceedance probability and drawdown quantile aspatial summary tables Derived From Bioregional Assessment areas v03 Derived From Bioregional Assessment areas v05 Derived From BOM, Australian Average Rainfall Data from 1961 to 1990 Derived From National Surface Water sites Hydstra Derived From Preliminary Assessment Extent (PAE) for the Namoi subregion - v04 Derived From Namoi Hydstra surface water time series v1 extracted 140814 Derived From BA ALL Assessment Units 1000m 'super set' 20160516_v01 Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From BA ALL Assessment Units 1000m Reference 20160516_v01 Derived From GIS analysis of HYDMEAS - Hydstra Groundwater Measurement Update: NSW Office of Water - Nov2013 Derived From Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013 Derived From Namoi groundwater drawdown grids Derived From Namoi ZoPHC and component layers 20170629 Derived From Namoi AWRA-L model Derived From Namoi dryland diffuse groundwater recharge Derived From Namoi Surface Water Mine Footprints - digitised Derived From Namoi PAE - Pilliga IBRA subregion Derived From Surface water Preliminary Assessment Extent (PAE) for the Namoi (NAM) subregion - v03 Derived From Bioregional Assessment areas v01 Derived From Bioregional Assessment areas v02 Derived From Namoi groundwater model Derived From Namoi bore locations, depth to water for June 2012 Derived From NSW Office of Water Groundwater Entitlements Spatial Locations Derived From Victoria - Seamless Geology 2014 Derived From Namoi Existing Mine Development Surface Water Footprints Derived From Murray-Darling Basin Aquatic Ecosystem Classification Derived From Namoi NSW Office of Water groundwater licence BA purpose Derived From Namoi Surface Water standard HRV quantiles for Impact and Risk Analysis 20170718

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.

Contains the files and R scripts used for creating interpolated surfaces of depth to groundwater and contour maps of piezometric surfaces for dry (200 - 2007) and wet (2008 - 2012) periods in the Bremer, Clarence Lockyer, Logan-Albert and Richmond alluvial systems. Piezometric surfaces and depth to groundwater surfaces are created using ordinary kriging in R. The data used come from the bores in the QLD and NSW groundwater databases (see data lineage).

Dataset History

Groundwater hydraulic head data from the NSW and QLD databases (see data lineage) was extracted by selecting only those data collected between 2000 and 2012 and that fell within the boundary shapefiles for the alluvial bodies. Elevation data from the DEM was appended to the spatial locations for each groundwater bore in the dataset. Ordinary kriging was then performed in R to create interpolated surfaces for depth to groundwater and piezometric surfaces. The kriging makes use of the digital elevation model as a covariate for aiding prediction. The R scripts output pdf maps of the surfaces for each of the following alluvial systems: Bremer, Clarence, Lockyer, Logan-Albert and Richmond. Maps are produced for for the dry period (2000 - 2007) and wet period (2008 - 2012) and show the predicted surface in addition to the prediction standard deviation.

The R script also outputs the rasters used to create these maps to .asc files (ascii grids). There are four such ascii grids for the entire alluvium:

1. PiezometricSurface_Dry.asc (the estimated piezometric surface for all of the alluvium in the dry years which has been clipped to shapefiles to produce each of the .pdf maps)

2. PiezometricSurface_SD_Dry.asc (the estimated standard deviation of the piezometric surface for all of the alluvium in the dry years which has been clipped to shapefiles to produce each of the .pdf maps)

3. PiezometricSurface_Wet.asc (the estimated piezometric surface for all of the alluvium in the wet years which has been clipped to shapefiles to produce each of the .pdf maps)

4. PiezometricSurface_SD_Wet.asc (the estimated standard deviation of the piezometric surface for all of the alluvium in the wet years which has been clipped to shapefiles to produce each of the .pdf maps)

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Interpolated piezometric surfaces for Alluvium. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/da04bc6a-b2ad-427f-a434-643ad6006ea0.

Dataset Ancestors

• Derived From CLM - Bore water level QLD

• Derived From Qld 100k mapsheets - Warwick

• Derived From Qld 100K mapsheets - Helidon

• Derived From Qld 100K mapsheets - Ipswich

• Derived From Qld 100K mapsheets - Toowoomba

• Derived From CLM - DEM in ascii format

• Derived From CLM - Geology NSW & Qld combined v02

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Qld 100k mapsheets - Kingaroy

• Derived From CLM - Extent of Bremer river and Warrill creek alluvial systems

• Derived From CLM - Extent of Richmond river alluvial system May 6th 2014

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

• Derived From GEODATA TOPO 250K Series 3

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From CLM - Extent of Richmond river alluvial system February 3rd 2015

• Derived From Qld 100K mapsheets - Allora

• Derived From Qld 100K mapsheets - Jandowae

• Derived From Bioregional Assessment areas v03

• Derived From Qld 100K mapsheets - Esk

• Derived From CLM - Extent of Logan and Albert river alluvial systems

• Derived From Qld 100K mapsheets - Mount Lindsay

• Derived From CLM - Qld Surface Geology Mapsheets

• Derived From Clarence-Moreton SEEBASE & Structural GIS Project data.

• Derived From CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion

• Derived From CLM - Extent of Clarence River alluvial systems

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

• Derived From Qld 100k mapsheets - Beenleigh

• Derived From Qld 100K mapsheets - Caboolture

• Derived From CLM - Extent of Lockyer Creek alluvial system

• Derived From Qld 100k mapsheets - Murwillumbah

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

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From Qld 100K mapsheets - Inglewood

• Derived From Qld 100K mapsheets - Oakey

• Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

• Derived From CLM - Bore water level NSW