This part of the data release contains the water-level measurement data compiled and synthesized from various sources. This compilation includes two tables that contain all the water-level measurements that were considered in the development of the groundwater-level altitude maps (Input_VisGWDB), and a table of median-water-level data that were used to develop the groundwater-level altitude maps (MedianWaterLevelData). Also included in this part of the data release is a geologic unit code look-up table which defines the geologic units that wells are reported to be screened in for wells with water-level measurements. These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins in the upper Rio Grande focus area study, Colorado, New Mexico, and Texas, U.S. and Chihuahua, Mexico, 1980 to 2015

SCDNR groundwater monitoring map with wells, well clusters, and well level data. Used in the online data viewer on the hydrology website.Well locations and cluster site polygons are generalized and approximate and are shown in a grid pattern for visualization. These are not precise well locations.

Groundwater is an important source of drinking water. It also supports river flows, lake levels and ecosystems. It contains natural substances dissolved from the soils and rocks that it flows through. It can be polluted by human activities on the land.Hydrogeology is the study of groundwater. It deals with how water gets into the ground (recharge), how it flows beneath the ground (through aquifers), where water is stored (in aquifers) and how groundwater interacts with the surrounding soil and rock (the geology). The vulnerability classifies how vulnerable groundwater is to pollution across Ireland, based on its level of protection. Knowing this helps people to plan and carry out activities on the land in a way that keeps our groundwater safe to drink.This map displays all the important groundwater datasets in Ireland created by the GSI and external organisations.They are vector datasets. Vector data portray the world using points, lines, and polygons (areas).

Groundwater Elevation Change Maps summarize the change in groundwater level measurements over time, collected from wells in the northern Sacramento Valley by the Department of Water Resources (DWR) Northern Region Office (NRO) and monitoring cooperators. Northern Sacramento Valley groundwater levels are measured seasonally, during the annual water year, as part of our ongoing data collection program. Many of the wells have over 30 years of monitoring history, with the longest active monitoring well dating back to 1921. Groundwater level data provides valuable information regarding seasonal fluctuations and long-term changes in groundwater level trends over time. The groundwater level data presented in these figures includes the Sacramento Valley and Redding groundwater basin portions of Shasta, Tehama, Butte, Colusa, Glenn, and Sutter counties and are organized by year, season, well depth, and period of change.

This data release contains data used to develop models and maps that estimate the occurrence of lithium in groundwater used as drinking water throughout the conterminous United States. An extreme gradient boosting model was developed to estimate the most probable lithium concentration category (≤4, >4 to ≤10, >10 to ≤30 or >30 µg/L). The model uses lithium concentration data from wells located throughout the conterminous United States and predictor variables that are available as geospatial data. The model is included in this data release in the zipped folder named Model_Archive and was used to produce maps that are also included in this data release. The model input data (predictor variables) that were used to make the maps are within a zipped folder (Map_Input_Data.zip) that contains 20 tif-raster files, one for each model predictor variable. The map probability estimates that are outputs from the model are in a zipped folder (Map_Output_Data.zip) that contains 10 tif-raster files, two model estimate maps for each of the lithium concentration categories and the category with the highest probability for public supply well depths and domestic supply well depths.

This dataset is available for use for non-commercial purposes only on request as AfA248 dataset Groundwater Vulnerability Maps (2017). For commercial use please contact the British Geological Survey.

The Groundwater Vulnerability Maps show the vulnerability of groundwater to a pollutant discharged at ground level based on the hydrological, geological, hydrogeological and soil properties within a single square kilometre. The 2017 publication has updated the groundwater vulnerability maps to reflect improvements in data mapping, modelling capability and understanding of the factors affecting vulnerability Two map products are available: • The combined groundwater vulnerability map. This product is designed for technical specialists due to the complex nature of the legend which displays groundwater vulnerability (High, Medium, Low), the type of aquifer (bedrock and/or superficial) and aquifer designation status (Principal, Secondary, Unproductive). These maps require that the user is able to understand the vulnerability assessment and interpret the individual components of the legend.

• The simplified groundwater vulnerability map. This was developed for non-specialists who need to know the overall risk to groundwater but do not have extensive hydrogeological knowledge or the time to interpret the underlying data. The map has five risk categories (High, Medium-High, Medium, Medium-Low and Low) based on the likelihood of a pollutant reaching the groundwater (i.e. the vulnerability), the types of aquifer present and the potential impact (i.e. the aquifer designation status). The two maps also identify areas where solution features that enable rapid movement of a pollutant may be present (identified as stippled areas) and areas where additional local information affecting vulnerability is held by the Environment Agency (identified as dashed areas). Attribution statement: © Environment Agency copyright and/or database right 2017. All rights reserved.Derived from 1:50k scale BGS Digital Data under Licence 2011/057 British Geological Survey. © NERC.

This digital dataset is comprised of three separate data files that contain total dissolved solids, well construction, and well identifying information for 3,546 water wells used to map salinity in and around 31 southern and central California oil fields. Salinity mapping was done for 27 fields located in the southern San Joaquin Valley of Kern County (North Belridge, South Belridge, Canfield Ranch, North Coles Levee, South Coles Levee, Cymric, Edison, Elk Hills, Fruitvale, Greely, Jasmin, Kern Bluff, Kern Front, Kern River, Lost Hills, Mount Poso, Mountain View, Poso Creek, Rio Bravo, Rosedale, Rosedale Ranch, Round Mountain, San Emidio Nose, Tejon, Ten Section, Wheeler Ridge, and Yowlumne), 3 fields in the LA Basin of Los Angeles County (Montebello, Santa Fe Springs, and Wilmington), and 1 field in the central coast area of Santa Barbara and San Luis Obispo Counties (Santa Maria Valley). Unlike petroleum wells, water wells both within and adjacent to oil fields of interest were ...

This part of the data release contains the raster representation of the groundwater-level altitude and groundwater-level change maps developed every 5 years from 1980 to 2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the groundwater-level altitude maps can be found in the "Groundwater level measurement data used to develop groundwater-level altitude maps in the upper Rio Grande alluvial basins" child item of this data release.

Here we present a geospatial dataset representing local- and regional-scale aquifer system boundaries, defined on the basis of an extensive literature review and published in GebreEgziabher et al. (2022). Nature Communications, 13, 2129, https://www.nature.com/articles/s41467-022-29678-7

The database contains 440 polygons, each representing one study area analyzed in GebreEgziabher et al. (2022). The attribute table associated with the shapefile has two fields (column headings): (1) aquifer system title (Ocala Uplift sub-area of the broader Floridan Aquifer System), and (2) broader aquifer system title (e.g., the Floridan Aquifer System).

• to explore the available data via an interactive app please visit the following URL: https://ucsb.maps.arcgis.com/apps/instant/nearby/index.html?appid=2a238e4ed2434d21b3b53c861a064d8f
• to explore the 3D nature of a dozen aquifer systems please see the following storymap: https://storymaps.arcgis.com/stories/a91f061759e64e44af38daf6cefa4259

Groundwater potentiometric-surface contours for spring 2022 (April 4 to 8, 2022) and autumn 2022 (October 30 to November 4, 2022) were created for the alluvial aquifer in Big Lost River Valley. The well numbers and station names used to create the potentiometric-surface contours and groundwater-level change maps are provided in this data release. The location, depth to water, and potentiometric-surface altitude for these wells can be accessed on USGS National Water Information System (NWIS) or Idaho Department of Water Resources (IDWR) groundwater portal. The interpreted 20-foot contours of the potentiometric-surface are also provided in this data release. The contours are referenced to the North American Vertical Datum of 1988 (NAVD 88). The potentiometric-surface contours are divided into three water-bearing units - shallow, intermediate, and deep - based on well depth, potentiometric-surface altitude, and hydrogeologic unit. The intermediate and deep units were only identified in the southern portion of the valley near Arco, Idaho. The potentiometric-surface contours ranged from 4,900 to 6,660 feet above NAVD 88. The groundwater-level change at well sites from spring to autumn 2022, spring to autumn 1968, spring 1968 to spring 2022, spring 1991 to spring 2022, and spring 1968 to spring 1991 were calculated and are provided in a shapefile.

This is the 2022 version of the Aquifer Risk Map. The 2021 version of the Aquifer Risk Map is available here.This aquifer risk map is developed to fulfill requirements of SB-200 and is intended to help prioritize areas where domestic wells and state small water systems may be accessing raw source groundwater that does not meet primary drinking water standards (maximum contaminant level or MCL). In accordance with SB-200, the risk map is to be made available to the public and is to be updated annually starting January 1, 2021. The Fund Expenditure Plan states the risk map will be used by Water Boards staff to help prioritize areas for available SAFER funding. This is the final 2022 map based upon feedback received from the 2021 map. A summary of methodology updates to the 2022 map can be found here.This map displays raw source groundwater quality risk per square mile section. The water quality data is based on depth-filtered, declustered water quality results from public and domestic supply wells. The process used to create this map is described in the 2022 Aquifer Risk Map Methodology document. Data processing scripts are available on GitHub. Download/export links are provided in this app under the Data Download widget.This draft version was last updated December 1, 2021. Water quality risk: This layer contains summarized water quality risk per square mile section and well point. The section water quality risk is determined by analyzing the long-tern (20-year) section average and the maximum recent (within 5 years) result for all sampled contaminants. These values are compared to the MCL and sections with values above the MCL are “high risk”, sections with values within 80%-100% of the MCL are “medium risk” and sections with values below 80% of the MCL are “low risk”. The specific contaminants above or close to the MCL are listed as well. The water quality data is based on depth-filtered, de-clustered water quality results from public and domestic supply wells.Individual contaminants: This layer shows de-clustered water quality data for arsenic, nitrate, 1,2,3-trichloropropane, uranium, and hexavalent chromium per square mile section. Domestic Well Density: This layer shows the count of domestic well records per square mile. The domestic well density per square mile is based on well completion report data from the Department of Water Resources Online System for Well Completion Reports, with records drilled prior to 1970 removed and records of “destruction” removed.State Small Water Systems: This layer displays point locations for state small water systems based on location data from the Division of Drinking Water.Public Water System Boundaries: This layer displays the approximate service boundaries for public water systems based on location data from the Division of Drinking Water.Reference layers: This layer contains several reference boundaries, including boundaries of CV-SALTS basins with their priority status, Groundwater Sustainability Agency boundaries, census block group boundaries, county boundaries, and groundwater unit boundaries. ArcGIS Web Application

NMED is mapping areas where waters of the state may be vulnerable to contamination from septic tank discharges, and where stricter standards may be imposed. Aquifer sensitivity maps prepared for NMED by Lee Wilson and Associates in 1989 have been digitized and are a data layer in the online Liquid Waste Geographic Information System (GIS). The tab for GIS data layers is near the upper right corner, the buttons for zoom in/out and other functions are on the left, aquifer sensitivity maps are under Geology/Landcover. The Lee Wilson maps are being updated and modified to include current depth-to-ground-water information, as well as areas of karst and fractured bedrock, known contamination sites, and gaining streams. These maps also can be downloaded as bitmap and gif files (Table 1). The maps contain color-coded groundwater areas based on depth to water and naturally occurring, background, total dissolved solids (TDS) as explained in Table 2. Areas with ground water less than 100 feet deep, and with 2000 mg/L or less TDS, are mapped in red. Other areas of concern based on karst or fractured bedrock, known ground-water contamination, and gaining streams impacted by septic tank effluent, are also being mapped.

This map provides data and information about the major groundwater resources of the world. About 35% of the area of the continents (excluding the Antarctic) is underlain by relatively homogeneous aquifers, 18% is endowed with groundwater, some of which are extensive, in geologically complex regions. Nearly half of the continental areas contain generally minor occurrences of groundwater that are restricted to the near-surface unconsolidated rocks, where groundwater resources are usually sufficient for small to medium-sized population centres.For more information, visit: www.whymap.org

The Environment Agency has updated its groundwater vulnerability map to reflect improvements in data mapping, modelling capability and understanding of the factors affecting vulnerability. Two new maps are available which show the vulnerability of groundwater to a pollutant discharged at ground level. The potential impact of groundwater pollution is considered using the aquifer designation status which provides an indication of the scale and importance of groundwater for potable water supply and/or in supporting baseflow to rivers, lakes and wetlands. This dataset has shared IP (Intellectual Property) between Environment Agency and British Geological Survey. It supersedes the previous Groundwater Vulnerability 100k data released by EA.

This digital data set consists of aquifer boundaries for the High Plains aquifer in the central United States. The High Plains aquifer extends from south of 32 degrees to almost 44 degrees north latitude and from 96 degrees 30 minutes to 106 degrees west longitude. The outcrop area covers 174,000 square miles and is present in Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming.

This digital data set was compiled from a digital coverage that was created for publication of paper maps in McGrath and Dugan (1993, Water-level changes in the High Plains aquifer -- predevelopment to 1991: U.S. Geological Survey Water-Resources Investigations Report 93-4088, 53 p.) The data are not intended for use at scales larger than 1:1,000,000.

This dataset contains groundwater-altitude (GWA) data from wells that were used or considered (indicated by the field USE_2020) to create a potentiometric-surface map for the Mississippi River Valley alluvial aquifer (MRVA) for spring 2020. The GWA data was referenced to the North American Vertical Datum of 1988 (NAVD 88). Most of the wells were measured annually, but some wells were measured more than one time in a year and a small number of wells were measured continuously. GWA data were from wells measured in spring 2020. To best reflect hydrologic conditions in the MRVA, the GWA data used to create the 2020 potentiometric surface would be measured in a short-time frame of days or a week and there would be available data (for example from sets of wells with short-screen (about 5 to 10 feet or 1.5 to 3 meters) installed near the top, in the middle, and near the bottom of the aquifer) to indicate vertical flow components. However, most wells screened in the MRVA were measured bef ...

Groundwater is a critical resource for many people, and the USGS generates groundwater level data for thousands of sites across the United States and outlying territories. The ability to put current groundwater data into a long-term historical context is valuable in understanding trends in groundwater use at a particular monitoring location, region, or at the national scale. In 2022, the web application Groundwater Watch was shut down and a long-term replacement is in development. Here, we introduce National Groundwater Conditions, a national-scale web application that maps active groundwater levels and enables users to explore site-level groundwater data with a historical context. The application provides information for understanding long-term trends in groundwater availability at a particular site and for managing critical groundwater resources. It delivers the core functionality that was previously available in Groundwater Watch.

This tool is being released as an experimental product. In the future, the functionality available in the application will be integrated into our existing USGS water applications such as the National Water Dashboard and Monitoring Location Pages; these applications have a wealth of additional mapping features and functionality.

The aquifer risk map is being developed to fulfill requirements of SB-200 and is intended to help prioritize areas where domestic wells and state small water systems may be accessing groundwater that does not meet primary drinking water standards (maximum contaminant level or MCL). In accordance with SB-200, the risk map is to be made available to the public and is to be updated annually starting January 1, 2021. The Fund Expenditure Plan states the risk map will be used by Water Boards staff to help prioritize areas for available SAFER funding. This layer contains summarized water quality risk per census block group, square mile section, and well point. The overall census block group water quality risk is based on five risk factors (1. the count of chemicals with a long-term average (20 year) or recent result (within 2 years) above the MCL, 2. the count of chemicals with a long-term average (20 year) or recent result (within 2 years) within 80% of the MCL, 3. the average magnitude or results above the MCL, 4. the percent area with chemicals above the MCL, and 5. the percent area with chemicals within 80% of the MCL). The specific chemicals that contribute to these risk factors are listed as well. Higher values for each individual risk factor contribute to a higher overall score. The scores are converted to percentiles to normalize the results. Higher percentiles indicate higher water quality risk. The water quality data is based on depth-filtered, de-clustered water quality results from public and domestic supply wells, collected following a similar methodology as the Domestic Well Needs Assessment White Paper. The methodology used to calculate the risk percentiles is outlined in the Aquifer Risk Map Methodology. To provide comments or feedback on this map, please email SAFER@waterboards.ca.gov or Emily.Houlihan@Waterboards.ca.gov.Methodology for the draft aquifer risk map available for download.

The Groundwater Vulnerability map shows land areas across Ireland where groundwater can be easily polluted. It also shows areas where it is well protected by the subsoil layers. The vulnerability category given to a site or an area is based on how easy it is for water which may contain pollutants to reach the groundwater. Geologists map and record information on the subsoils above the bedrock. They find out how deep the subsoil is and how permeable it is (how easy water can pass through it). They use information from quarries, deep pits and from boreholes (a deep narrow round hole drilled in the ground). Subsoil depth, type and permeability maps are combined to work out the groundwater vulnerability at that location. Landforms found in the Irish landscape like sinkholes and sinking streams (‘karst’ landforms) are categorised as extremely vulnerable as water can pass straight through. Where the water table is close to the surface in sand and gravel aquifers, groundwater vulnerability is also extremely vulnerable. This Groundwater Vulnerability map is to the scale 1:40,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 400m. It is a vector dataset. Vector data portray the world using points, lines, and polygons (areas). The groundwater vulnerability data are shown as polygons. Each polygon holds information on the vulnerability category (X, E, H, M or L), a description explaining this (‘Extreme – rock at or near surface/karst’, ‘Extreme’, ‘High’, ‘Moderate’ or ‘Low’) and a unique id.

This dataset includes a Microsoft Excel file, and a *.csv and a *.txt version of the Excel file, that contain location and groundwater-level data for wells open to the Valley and Ridge carbonate aquifer of Cambrian-Ordovician age in the area of Savannah and Gunstocker Creeks in northeastern Hamilton, southern Meigs, and northwestern Bradley Counties, Tennessee, for fall 1992, spring and fall 1993, summer 2008, and spring 2009 conditions. Potentiometric-surface contour data for the five measurement periods also are included as separate Earth Sciences Research Institute (ESRI) ArcGIS shapefiles. The data were collected as parts of studies conducted by the U.S. Geological Survey (USGS) in cooperation with the Chattanooga/Hamilton County Regional Planning Commission, the City of Chattanooga, Hamilton County, the Hamilton County Association of Utility Districts, and the Savannah Valley Utility District (SVUD). The well and water-level data also are available from the USGS National W ...