This data set consists of polygons representing groundwater level declines between 1968 and 1982, Paradise Valley, Humboldt County, Nevada as published on figure 26 in the U.S. Geological Survey Professional Paper 1409-F titled "Ground-water flow and simulated effects of development in Paradise Valley, a basin tributary to the Humboldt River in Humboldt County, Nevada," 1996.

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 dataset includes a script and data for generating flow rate time-series figures for HUN GW modelling. The flow rate data points represent historical pumping rates and estimates of future …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 dataset includes a script and data for generating flow rate time-series figures for HUN GW modelling. The flow rate data points represent historical pumping rates and estimates of future pumping rates used to represent the impacts of coal mining on groundwater levels and surface water - groundwater fluxes in the Hunter subregion. The script was written to generate time-series graphs of flow rates used in the HUN GW modelling for each mine in the Hunter subregion. Dataset History Historical mine water pumping rates and estimates of future flow rates were extracted from mining reports (groundwater modelling within mine Environmental Assessments) for each baseline and additional coal resource development modelled in the Hunter subregion. These flow rates are inputs to the groundwater model to represent the impacts of coal mining over time on groundwater (drawdowns and changes in surface water - groundwater fluxes). A script was written to generate time-series graphs for each mine represented in the groundwater model. The full set of mining reports from which data were extracted and the time-series graphs generated from these data are included in Herron et al. (2016). Herron NF, Frery E, Wilkins A, Crosbie RS, Peña-Arancibia JL, Zhang YQ, Viney NR, Rachakonda PK, Ramage A, Marvanek SP, Gresham MP and McVicar TR (2016) Observations analysis, statistical analysis and interpolation for the Hunter subregion. Product 2.1-2.2 for the Hunter subregion from the Northern Sydney Basin Bioregional Assessment. Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/product/NSB/HUN/2.1-2.2. Dataset Citation Bioregional Assessment Programme (XXXX) HUN groundwater flow rate time series v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/57b928ac-9d9d-407a-87d8-8405f4a4b11a. Dataset Ancestors Derived From HUN GW Model Mines raw data v01

Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.

Microsoft Excel workbooks containing bore groundwater levels and stream flow from selected Gippsland streams to illustrate GW-SW interactions. Hydrographs showing the GW levels and stream flow have been generated from these data. These charts illustrate the connectivity between GW and SW situations.

Time range - 01/01/1970 to 30/06/2014

Figure 37 - Groundwater hydrographs of three nested bores located in Macalister Irrigation District west of Sale plotted against daily stream water level of Latrobe River at Rosedale (gauge station no. 226228)

Figure 38 - Groundwater hydrographs of a transect of bores located near Mitchell River west of Bairnsdale plotted against daily stream water level of Mitchell River at Rose (gauge station no. 224203)

Figure 39 - Groundwater hydrographs of two nested bores located near Snowy River west of Orbost plotted against daily stream water level of Snowy River at Jarrahmond (gauge station no. 222200)

Figure 40 - Groundwater hydrographs of three nested bores located in the Macalister Irrigation District north of Sale plotted against daily stream water level of Avon River at Stratford (gauge station no. 225201)

Purpose

Produced from time-series stream flow and groundwater water level data downloaded from the Water Measurement Information System (http://data.water.vic.gov.au/monitoring.htm)

Monitoring stream flow and stream level in Latrobe River at Rosedale (gauge station no. 226228) and groundwater level in the alluviual aquifers near the river.

Monitoring stream flow and stream level in Mitchell River at Rose (gauge station no. 224203) and groundwater level in the alluviual aquifers near the river.

Monitoring stream flow and stream level in Snowy River at Jarrahmond (gauge station no. 222200) and groundwater level in the alluviual aquifers near the river.

Monitoring stream flow and stream level in Avon River at Stratford (gauge station no. 225201) and groundwater level in the alluviual aquifers near the river.

Dataset History

This narrative is taken from the associated draft report.

Groundwater generally interacts with surface water through various processes and pathways. The development of groundwater often has impacts on major streams (and vice versa). As such it is necessary to manage groundwater and surface water resources in combination. This requires an understanding of the interconnectivity and processes underpinning surface water and groundwater interactions. To better inform the numerical groundwater model developed for the Gippsland region, a brief assessment of surface-groundwater water interaction across the study area was undertaken, based on available literature (e.g. DSE 2012, SKM 2012a, 2012b; Hofmann, 2011) and analysis of groundwater and surface water information. DSE (2012) collated a state wide dataset of groundwater and surface water interaction from numerous investigations across Victoria. The dataset described groundwater and surface water interaction in four broad classes: neutral/losing, gaining, variable and unclassified. SKM (2012a) undertook baseflow separation analysis for 180 stream gauges on unregulated rivers in Victoria. This included 51 gauges in the Gippsland region. The baseflow separation analysis was undertaken on historical river flow records up to 2012 and utilised a filter parameter of 0.98. The results of the analysis for the 51 stream gauges in the Gippsland region is summarised elsewhere.

Dataset Citation

Victorian Department of Economic Development, Jobs, Transport and Resources (2015) Groundwater hydrograph and stream flow data - Gippsland. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/150c5a33-9dd2-46f7-9efd-08bd15f52ba1.

The Kingshill aquifer resides under St. Croix, an Island in the U.S. Virgin Islands. The Island of St. Croix is mountainous in the northwestern and eastern regions of the island and the central and southwest regions contain rolling hills and plains. The Kingshill aquifer underlies the plains of St. Croix. The aquifer is composed primarily of limestone and marl and has a maximum saturated thickness of 200 feet. The aquifer doesn't produce large quantities of water and much of the groundwater is suboptimal for human consumption, but it is the primary source of water in the Virgin Islands (HA 730-N). This product provides source data for the U.S. Virgin Islands, Island of St. Croix, Kingshill aquifer framework including: Georeferenced image: 1. i_56KNGSHL_bot.tif: Digitized figure of altitude contour lines representing the bottom of the Kingshill aquifer. This figure also includes the Kingshill aquifer extent. The original figure was from the Groundwater Atlas (HA 730-N) figure 114. Extent shapefiles: 1. p_56KNGSHL.shp: Polygon shapefile containing the areal extent of the Kingshill aquifer (HA 730-N). The original figure was from the Groundwater Atlas (HA 730-N) figure 114. Contour line shapefile: 1. c_56KNGSHL_bot.shp: Contour line dataset containing altitude values, in feet reference to National Geodetic Vertical Datum of 1929 (NGVD29), across the bottom of the Kingshill aquifer. These data were sourced from HA 730-N and were used to create the ra_56KNGSHL_bot.tif raster dataset. Altitude raster files: 1. ra_56KNGSHL_top.tif: Altitude raster dataset of the top of the Kingshill aquifer. Top of aquifer was assumed to be equal with land surface, but it should be noted that HA 730-N indicates about 25 percent of aquifer is overlain with a blanket of alluvium, alluvial fan, debris flow, and slope wash deposits as much as 80 feet thick. This raster was created using the Digital Elevation model (DEM) dataset (NED, 100-meter) and the altitude values are in meters reference to North American Vertical Datum of 1988 (NAVD88). 2. ra_56KNGSHL_bot.tif: Altitude raster dataset of the bottom of the Kingshill aquifer. This raster was interpolated from the c_56KNGSHL_bot.shp file and the altitude values are in meters reference to NAVD88. Depth raster files: 1. rd_56KNGSHL_top.tif: Depth raster dataset of the top of the Kingshill aquifer. The depth values are in meters below land surface (NED, 100-meter). All values in this raster are “0” because it was assumed the top of the aquifer was equal with land surface, but it should be noted that HA 730-N indicates about 25 percent of aquifer is overlain with a blanket of alluvium, alluvial fan, debris flow, and slope wash deposits as much as 80 feet thick. 2. rd_56KNGSHL_bot.tif: Depth raster dataset of the bottom of the Kingshill aquifer. The depth values are in meters below land surface (NED, 100-meter).

Abstract Spatial datasets containing groundwater hydrochemistry points with attribution for the generation of maps and piper plots for the Cooper GBA Region reports. This dataset contains …Show full descriptionAbstract Spatial datasets containing groundwater hydrochemistry points with attribution for the generation of maps and piper plots for the Cooper GBA Region reports. This dataset contains hydrochemistry data for the artesian GAB aquifers, the Rolling Downs aquitard, the Winton-Mackunda partial aquifer and the Cenozoic aquifers in the Cooper GBA region. Attribution Geological and Bioregional Assessment Program History Generated by Geoscience Australia in ESRI ArcGIS for mapping and plotting uses in the Cooper GBA Reports. This dataset contains hydrochemisrty data for the artesian GAB aquifers, the Rolling Downs aquitard, the Winton-Mackunda partial aquifer and the Cenozoic aquifers in the Cooper GBA region.

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.

Geological cross-sections, based on SECV, GEDIS and GMS datasets as well as mapped topography (DEM) and mapped basement are included for the Gippsland Basin (Figure 9, Figure 10).

Dataset History

Full report citation: Nicol, C. (2010). Report on transient groundwater flow modelling: West Gippsland CMA. Report for 'ecoMarkets' groundwater models. June 2010, Department of Sustainability and Environment,.

Dataset Citation

Victorian Department of Sustainability and Environment (2015) West Gippsland CMA Groundwater Model Report - Figure 9 & 10. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/b140974b-8bf9-40dd-a405-21637948c25b.

Groundwater level search results include data from 14 groundwater level observation wells across PEI; mapped locations of observation wells; graphs; and downloadable raw data. The groundwater level data provides long-term trend information, both historical and real-time, on groundwater levels.

The Utah Groundwater Conditions Web Product is a comprehensive digital tool designed to monitor and report on the groundwater conditions across Utah. Developed by the U.S. Geological Survey (USGS) for the Utah Department of Natural Resources, this web product integrates data from multiple public and private sources to provide an annual update on groundwater levels and usage. The web product gives easy visual access to groundwater pumpage estimates along with other data such as water levels, stream discharge, and precipitation records. The charts allow users to see trends as well as correlations between multiple data sets. This web product will be updated yearly and is available at https://warcapps.usgs.gov/gs-water/uwsc/ugcwa.

The Roswell Basin aquifer system is located in southeastern New Mexico. It is composed of an alluvial aquifer and an underlying carbonate-rock aquifer. The aquifer covers an area of about 2,200 square miles and the alluvial aquifer covers about 1,200 square miles of the eastern half of this area. The alluvial aquifer primarily consists of Quaternary sediments and the carbonate-rock aquifer consists of the San Andres Limestone. Both aquifers offer highly productive groundwater wells that are extensively used for agricultural, industrial, and municipal use (HA 730-C). This product provides source data for the Roswell Basin aquifer system framework, including: Georeferenced images: 1. i_43RSWLBS_top.tif: Digitized figure of altitude contour lines representing the top of the Roswell Basin aquifer system. The original figure was from the Geohydrologic Framework of the Roswell Ground-water Basin report (Welder, 1983). Extent shapefiles: 1. p_43RSWLBS.shp: Polygon shapefile containing the areal extent of the Roswell Basin aquifer system. This shapefile was sourced from Roswell_AqExtent and was modified based off of (Welder, 1983). The extent file contains no aquifer subunits. Contour line shapefiles: 1. c_43RSWLBS_top.shp: Contour line dataset containing altitude values, in feet reference to National Geodetic Vertical Datum of 1929 (NGVD29), across the top of the Roswell Basin aquifer system. These data were used to create the ra_43RSWLBS_top.tif raster dataset. Altitude raster files: 1. ra_43RSWLBS_top.tif: Altitude raster dataset of the top of the Roswell Basin aquifer system. The altitude values are in meters reference to North American Vertical Datum of 1988 (NAVD88). This file was interpolated from the contour line dataset (Welder, 1983). 2. ra_43RSWLBS_bot.tif: Altitude raster dataset of the bottom of the Roswell Basin aquifer system. The altitude values are in meters reference to NAVD88. Depth raster files: 1. rd_43RSWLBS_top.tif: Depth raster dataset of the top of the Roswell Basin aquifer system. The depth values are in meters below land surface (NED, 100-meter). 2. rd_43RSWLBS_bot.tif: Depth raster dataset of the bottom of the Roswell Basin aquifer system. The depth values are in meters below land surface (NED, 100-meter).

Abstract The dataset was derived by the Bioregional Assessment Programme from the MBC Groundwater Model dataset. The source dataset is 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 a number of files that were used to create Figure MBC-2627-002 for report number MBC-2.6.2. This figure depicts changes in groundwater drawdown over time at …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme from the MBC Groundwater Model dataset. The source dataset is 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 a number of files that were used to create Figure MBC-2627-002 for report number MBC-2.6.2. This figure depicts changes in groundwater drawdown over time at three separate groundwater wells, as predicted by the MBC groundwater flow model under both Baseline and CRDP scenarios. Differences between the two scenarios are also depicted for each of the three groundwater wells. Purpose To produce non-text element in the MBC 2.6.2 product. Dataset History This dataset contains the following files that were used to create Figure MBC-2627-002 for report number MBC-2.6.2. * RN30203.csv, RN66872.csv, RN87532.csv : These three comma delimited files contain drawdown time series data that were exported from the source data listed under metadata lineage. * MBC-2627-002.py : This Python script was created by Chris Turnadge from an existing script created by Luk Peeters and was used to plot three drawdown time series and the relative differences between them, using the data contained in the three csv files "RN30203.csv", "RN66872.csv" and "RN87532.csv". * BA_visualisation.py and BA_visualisation.pyc : These Python subroutines were created by Luk Peeters and were used by the Python script "MBC-2627-002.py" * MBC-2627-002.png : This PNG image was created by the Python script "MBC-2627-002.py" and was used as Figure MBC-2627-002 in report number MBC-2.6.2. Dataset Citation Bioregional Assessment Programme (2016) MBC Groundwater drawdown plots. Bioregional Assessment Derived Dataset. Viewed 07 July 2017, http://data.bioregionalassessments.gov.au/dataset/352a2f65-ddbf-4251-a401-c7070d2c9208. Dataset Ancestors Derived From MBC Groundwater model Derived From MBC Groundwater model mine footprints Derived From MBC Groundwater model layer boundaries

From the USGS: "As part of the U.S. Geological Survey's (USGS) program for disseminating water data within USGS, to USGS cooperators, and to the general public, the USGS maintains a distributed network of computers and fileservers for the acquisition, processing, review, and long-term storage of water data. This water data is collected at over 1.5 million sites around the country and at some border and territorial sites. This distributed network of computers is called the National Water Information System (NWIS). Many types of data are stored in NWIS, including comprehensive information for site characteristics, well-construction details, time-series data for gage height, streamflow, ground-water level, precipitation, and physical and chemical properties of water. Additionally, peak flows, chemical analyses for discrete samples of water, sediment, and biological media are accessible within NWIS."NWISWeb is the USGS public web interface to much of the data stored and managed within NWIS. Data provided by NWISWeb are updated from NWIS on a regularly scheduled basis, and real-time data are generally updated upon receipt at local Water Science Centers. NWISWeb provides several output options including: graphs of real-time streamflow, water levels, and water quality; tabular output in HTML and ASCII tab-delimited files; and summary lists for selected sites that can be used as a basis for reselection to acquire refined details."NWISWeb provides a framework to obtain data on the basis of category, such as surface water, ground water, or water quality, and by geographic area. Further refinement is possible by choosing specific site-selection criteria and by defining the output desired. In addition, there are nearly 70 million water-quality results from nearly 4.5 million water samples collected at hundreds of thousands of sites."

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 simulated 1970 unconfined depth to watertable across the entire model domain. This represents a pre-development water table surface.

Choosing a year that best represents the climatic circumstances for the simulation objectives is an essential part of the steady-state assessment. This decision was influenced by the availability of appropriate calibration data. This approach generally allows for the selection of a year that was outside the bounds of a longer term shift in annual rainfall distribution. The selected steady-state condition was based on 1970 rainfall and assumed no groundwater extractions. This initial state was selected to represent predevelopment conditions as post-1970 historic groundwater pumping in the region (on and offshore) have not achieved a quasi-equilibrium response as based on available groundwater hydrograph trends.

The transient simulation period was 1970 to 2012. This period captures both pre-mine development and a range of varying climatic conditions, including above average wet and dry sequences. The 1970 starting date enables the incorporation of historic groundwater extraction data into the model and provides sufficient lead time for the groundwater model to minimise the impact of initial conditions on model predictions associated with the period of interest, namely the calibration/validation period of 2000 to 2012.

Copied from the Gippsland Groundwater Model report, 2015.

Purpose

The steady-state calibration model represents the 1970 Latrobe Valley pre-development conditions. On the basis that steady-state predictions reflect long-term equilibrium conditions assuming constant groundwater inputs and stresses throughout time, no groundwater extractions were assigned during the steady-state simulation.

Dataset History

"The simulated 1970 unconfined potentiometric surface (watertable) and depth-to-watertable across the entire model domain is shown in Figure 114 and Figure 115 respectively. (ED. see figures in the Gippsland Groundwater model report)

Visual comparison of the Victorian SAFE depth to watertable map (Figure 116) with the steady-state simulated depth to watertable shows the watertable surface is reasonable within the alluvial systems, however in some upland locations the watertable appears in greater connection with surface features than presented in the Victorian Aquifer Framework (VAF) data. This is not considered a significant issue as these areas are well beyond the zone of interest.

It must be noted that the VAF depth to watertable map was derived using a combination of terrain analysis and interpolated bore data, and in part on proximity to streams within the exposed basement areas. Additionally, the VAF reflects the 1990 conditions whereas the simulated steady-state depth to watertable represents pre-development conditions. As such, it is expected that that the simulated steady-state depth to watertable map would have a greater area of shallow watertable than reported in the VAF spatial layer."

This text copied from the Gippsland Groundwater Model report 2015.

Dataset Citation

Victorian Department of Economic Development, Jobs, Transport and Resources (2015) Depth to water - simulated 1970 steady state raster. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/4f343452-3dae-4184-b5f5-5690a17a82f6.

The Western Interior Plains aquifer system is located in parts of Arkansas, Colorado, Kansas, Missouri, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming and covers an area of more than 220,800 square miles. The thickness of the aquifer system ranges from 500 feet in eastern Colorado (HA 730-D) to as much as 10,000 feet in western Oklahoma (PP_1414B). This aquifer system consists of water-bearing dolostone, limestone, and shale and overlies the basement confining unit in the western part of the Interior Plains physiographic division. This aquifer system consists of the upper aquifer unit (A1), a middle confining unit, and the lower aquifer unit (A2). The aquifer system is overlain by the Western Interior Plains confining system and is underlain by the Basement confining unit (PP_1414B). This product provides source data for the Western Interior Plains aquifer system framework, including: Georeferenced images: 1. i_63WIP_A1_top.tif: Digitized figure of extent and altitude contour lines representing the top of the Western Interior Plains aquifer system upper unit. The original figure was from PP_1414B plate 6. 2. i_63WIP_A1_bot.tif: Digitized figure of altitude contour lines of the top of the confining unit between the upper and lower units of the Western Interior Plains aquifer system. This figure was used to construct the bottom contour lines of the upper aquifer unit. The original figure was from PP_1414B plate 5. 3. i_63WIP_A2_top.tif: Digitized figure of extent and altitude contour lines representing the top of the Western Interior Plains aquifer system lower unit. The original figure was from PP_1414B plate 4. 4. i_63WIP_A2_bot.tif: Digitized figure of altitude contour lines of the top of the basement confining unit of the Western Interior Plains aquifer system. This figure was used to construct the bottom contour lines of the lower aquifer unit. The original figure was from PP_1414B plate 3. Extent shapefiles: 1. p_63WIP.shp: Polygon shapefile containing the areal extent of the Western Interior Plains aquifer system sourced from PP_1414B plates 4 and 6. The extent file contains the upper and lower subunits A1 and A2. Contour line shapefiles: 1. c_63WIP_A1_top.shp: Contour line dataset containing altitude values, in feet reference to National Geodetic Vertical Datum of 1929 (NGVD29), of the top of the Western Interior Plains aquifer system upper unit. These data were used to create the ra_63WIP_A1_top.tif dataset. 2. c_63WIP_A1_bot.shp: Contour line dataset containing altitude values, in feet reference to NGVD29, of the bottom of the Western Interior Plains aquifer system upper unit. These data were used to create the ra_63WIP_A1_bot.tif dataset. 3. c_63WIP_A2_top.shp: Contour line dataset containing altitude values, in feet reference to NGVD29, of the top of the Western Interior Plains aquifer system lower unit. These data were used to create the ra_63WIP_A2_top.tif dataset. 4. c_63WIP_A2_bot.shp: Contour line dataset containing altitude values, in feet reference to NGVD29, of the bottom of the Western Interior Plains aquifer system lower unit. These data were used to create the ra_63WIP_A2_bot.tif dataset. Altitude raster files: 1. ra_63WIP_A1_top.tif: Altitude raster dataset of the top of the Western Interior Plains aquifer system upper unit. The altitude values are in meters reference to North American Vertical Datum of 1988 (NAVD88). This raster was interpolated from contour line shapefile c_63WIP_A1_top.shp. 2. ra_63WIP_A1_bot.tif: Altitude raster dataset of the bottom of the Western Interior Plains aquifer system upper unit. The altitude values are in meters reference to NAVD88. This raster was interpolated from contour line shapefile c_63WIP_A1_bot.shp. 3. ra_63WIP_A2_top.tif: Altitude raster dataset of the top of the Western Interior Plains aquifer system lower unit. The altitude values are in meters reference to NAVD88. This raster was interpolated from contour line shapefile c_63WIP_A2_top.shp. 4. ra_63WIP_A2_bot.tif: Altitude raster dataset of the bottom of the Western Interior Plains aquifer system lower unit. The altitude values are in meters reference to NAVD88. This raster was interpolated from contour line shapefile c_63WIP_A2_bot.shp. Depth raster files: 1. rd_63WIP_A1_top.tif: Depth raster dataset of the top of the Western Interior Plains aquifer system upper unit. The depth values are in meters below land surface (NED, 100-meter). 2. rd_63WIP_A1_bot.tif: Depth raster dataset of the bottom of the Western Interior Plains aquifer system upper unit. The depth values are in meters below land surface (NED, 100-meter). 3. rd_63WIP_A2_top.tif: Depth raster dataset of the top of the Western Interior Plains aquifer system lower unit. The depth values are in meters below land surface (NED, 100-meter). 4. rd_63WIP_A2_bot.tif: Depth raster dataset of the bottom of the Western Interior Plains aquifer system lower unit. The depth values are in meters below land surface (NED, 100-meter).

The amount of groundwater exploited is estimated in m³/year. Groundwater usages are classified in four categories: agricultural, industrial, domestic and energy. Typically, groundwater usage should be represented as a series of sub-polygons or points fitting inside the boundary of the hydrogeological unit. The scope and method used to estimate the amount of water are described in the metadata associated with the dataset. The dataset identifies the main usages for the hydrogeological unit. It features numbers and percentages describing groundwater usages for a predetermined scope. The groundwater usage is frequently compiled by municipalities or counties. It could then be possible to display the usage by superimposing a series of pie charts depicting the groundwater usages over multiples administrative areas.

This dataset represents the samples collected for the Richelieu project. The study area includes contiguous watersheds of Yamaska and Richelieu rivers, and the Missisquoi Bay. The sampling fieldworks were carried out during summer and fall 2010 within the entire study area. The conventional water wells installed in 2011 were sampled during fall 2011. Eight groundwater groups were defined by multivariate statistical analysis and graph analysis. The groundwater relative quality is variable, passing from not drinkable to acceptable.

This Excel spreadsheet contains Utah FORGE groundwater data for wells WOW2 and WOW3. The data was updated on March 16th, 2022 and contains legacy data. Groundwater data includes the level, offset, date, and time for each measurement. Temperature, drift, water elevation and other parameters are recorded. Figures in the data include a water elevation over time plot. Legacy data ranges from year 1976 to 2019 and updated data ranges from year 2019 to 2021.

In 2025, salinity was the main contaminant of groundwater in India, with almost two million people affected by it. Other notable contaminants were iron and nitrate. By contrast, heavy metals contributed the least to contamination of Indian groundwater that year.

This geodatabase includes spatial datasets that represent the Basin and Range basin-fill aquifers in the States of Arizona, California, Idaho, Nevada, New Mexico, Oregon, and Utah. Included are: (1) polygon extents; datasets that represent the aquifer system extent, the entire extent subdivided into subareas or subunits, and any polygon extents of special interest (outcrop areas, no data available, areas underlying other aquifers, anomalies, for example), (2) contours: thickness contours used to generate the surface rasters in subarea 4 (Arizona), (3) modified source raster datasets for subareas 1 and 3, (4) corrected altitudes of top and bottom surface rasters of the entire aquifer. The thickness contours and modified surface rasters are supplied for reference. The extent of the Basin and Range basin-fill aquifer is from the linework of the Basin and Range aquifer extent maps in U.S. Geological Survey Hydrologic Atlas 730 Chapters B and C, and a digital version of the aquifer extent presented in the Groundwater Atlas of the United States (the U.S. Geological Survey Hydrologic Atlas. The Basin and Range basin-fill aquifer has no aquifer subunits, but is defined by five subareas: 1. Subarea 1 is the area that overlies the Basin and Range Carbonate aquifer, which was the subject of U.S. Geological Survey Scientific Investigations Report 2010-5193 (USGS SIR 2010-5193). 2. Subarea 2 is the area of a different aquifer system, which is set to null for use within the Basin and Range basin-fill aquifer from U.S. Geological Survey Principal Aquifers, 2003 (USGS Circular 1323, Figure 2) 3. Subarea 3 is the area of the Basin and Range basin-fill aquifer that was the subject of U.S. Geological Survey Geophysical Map 1012 (USGS GP-1012) and not covered by USGS SIR 2010-5193 or the Basin and Range basin-fill aquifer in Arizona, Arizona Geological Survey, Digital Geological Map 52 (AZGS DGM-52). Top of aquifer is land surface. USGS GP-1012 dataset is depth from land surface to basin bottom. 4. Subarea 4 is the area of the 01BSNRGB aquifer in Arizona, (AZGS DGM-52) 5. Subarea 5 areas are in the Basin and Range basin-fill extent areas that do not have top/bot defined. The resultant top and bottom surface rasters for each subarea were merged into surface rasters of the top and bottom of the entire Basin and Range basin-fill aquifer within a GIS using tools that create hydrologically correct surfaces from contour data, deriving the altitude from the thickness (depth from the land surface), and merging the subareas into a single surface. The primary tools were a version of "Topo to Raster", and "Mosaic to New Raster" used in ArcGIS, ArcMap, Esri 2014.

Summary of basic hydrologic data including current programs, surface water resources, ground water conditions, uses of and changes to ground water. Maps, graphs.

As of March 2024, salinization was the most common groundwater contamination type in India, affecting 8,732 households. Iron was also a recurrent aquifer contaminant, affecting 4,871 households.