Map Direct focus to show Groundwater Contamination. Please refer to https://floridadep.gov/water for more information. Originally created 03/01/2007, and moved to Map Direct Lite on 06/24/2015. Please contact GIS.Librarian@floridadep.gov for more information.

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 data set consists of digital base of aquifer elevation contours 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 almost 104 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 created by digitizing the base of aquifer elevation contours from a 1:1,000,000 base map created by the U.S. Geological Survey High Plains RASA project (Gutentag, E.D., Heimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984, Geohydrology of the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Professional Paper 1400-B, 63 p.) The data should not be used at scales larger than 1:1,000,000.

This polyline shapefile consists of digital contours that represent the water table altitude in the upper glacial and Magothy aquifer beneath Long Island, New York. The U.S. Geological Survey constructed a water table altitude map using ground-water levels measured in the upper glacial and Magothy aquifers during the spring of 2016. Contours were constructed at a scale of 1:125,000 from water-level data collected at 276 groundwater monitoring wells. The water table altitude contours were digitized and compared to 1997, 2006, 2010 and 2013 water table altitude maps . The variable contour interval ranges from 5 to 120 feet above the National Geodetic Vertical Datum of 1929 (NGVD29). This polyline shapefile is a digital representation of the potentiometric-surface contours presented in sheet 1 of Scientific Investigations Map 3398.

This feature class is updated every business day using Python scripts and the WellNet database. Please disregard the "Date Updated" field as it does not keep in sync with DWR's internal enterprise geodatabase updates.The NDWR's water monitoring database contains information related to sites for groundwater measurements. These data are used by NDWR to assess the condition of the groundwater and surface water systems over time and are available to the public on NDWR’s website. Groundwater measurement sites are chosen based on physical location and access considerations, permit terms, and to maximize the distribution of measurement points in a given basin.Groundwater monitoring sites are typically chosen based on spatial location, access, and period of record considerations. When possible NDWR tries to have a distribution of monitoring locations within a given hydrographic area. The entity who does the monitoring depends on the site – for example, some mines have well fields where they collect data and submit those data to NDWR as a condition of their monitoring plan – and some sites are monitored by NDWR staff annually or more frequently. While people can volunteer to have their well monitored, more often the NDWR staff who measure water levels recommend an additional site or staff in the office recommend alternate sites. The Chief of the Hydrology Section will review the recommendations and make a final decision on adding/changing a site. This dataset is updated every business day from a non-spatial SQL Server database using lat/long coordinates to display location. This feature class participates in a relationship class with a groundwater measure table joined using the sitename field. This dataset contains both active and inactive sites. Measurement data is provided by reporting agencies and by regular site visits from NDWR staff. For website access, please see the Water Levels site at water.nv.gov/WaterLevelData.aspx

The aquifer maps show the potential of areas in Ireland to provide water supplies. There are three main groups based on their resource potential: Regionally important – the aquifers are capable of supporting large public water supplies sufficient to support a large town; Locally important – the aquifers are capable of supporting smaller public water supplies or group schemes; Poor – the aquifers are only capable of supporting small supplies, such as houses or farms, or small group schemes. The three main groups are broken down into nine aquifer categories in total. Please read the lineage for further details. Information used to assign bedrock aquifer categories include: rock type (Hydrostratigraphic Rock Unit Groups - simplified bedrock geology with similar hydrogeological properties), yield (existing wells and springs), permeability and structural characteristics. All of the information is interpreted by a hydrogeologist and areas are drawn on a map to show the aquifers. The Sand and Gravel Aquifer map is to the scale 1:40,000 (1 cm on the map relates to a distance of 400 m). It is a vector dataset. The sand and gravel aquifer data is shown as polygons. Each polygon holds information on the aquifer code, description, name, comments and confidence level associated with the delineation of the area as an aquifer. The Aquifer Geological Lines shows the details of the structural geology; faults and thrusts. Faults are the result of great pressure being applied to rock across a whole continent or more. These rocks break under the pressure, forming faults. Faults are recorded as lines where the break in the rock meets the surface. A thrust fault is a break in the Earth's crust, across which older rocks are pushed above younger rocks. Geologists map and record information on the composition and structure of rock outcrops (rock which can be seen on the land surface) and boreholes (a deep narrow round hole drilled in the ground). Lines are drawn on a map to show the structure. To produce this dataset, the twenty one 1:100,000 paper maps covering Ireland were digitised and any inconsistencies between map sheets were fixed. We collect new data to update our map and also use data made available from other sources. This map is to the scale 1:100,000 (1cm on the map relates to a distance of 1km). It is a vector dataset. The Geological Lines data is shown as lines. Each line holds information on: description of the line, bedrock 100k map sheet number, line code and name (if it has one).

The dataset consists of aquifer polygons or regions depicting unconsolidated aquifers in New York State, excluding Long Island. Aquifers are separated by and include attributes for potential yield ranges and confinement indicator. Edition 2.0 of this data includes 38 aquifer polygons missing from edition 1.0. The data are those in upstate NY that consist of sand and gravel and yield large supplies of water to wells. Bedrock aquifers, although significant in some areas, are not addressed here. Source data is 1:250,000, same scale as the NYS Geological Survey surficial and bedrock geology maps on which they were based. Together these maps form a consistent set of geologic and groundwater maps for use in regional management of the groundwater resources of the State. Aquifers are separated by and include attributes for potential yield ranges and confinement indicator. Edition 2.0 of this data includes 38 aquifer polygons missing from edition 1.0 The data is from 2008, which is the latest available update from the New York State GIS Clearinghouse

The map graphic image at https://www.sciencebase.gov/catalog/file/get/63140561d34e36012efa2b7f?name=arsenic_map.png illustrates arsenic values, in micrograms per liter, for groundwater samples from about 31,000 wells and springs in 49 states compiled by the United States Geological Survey (USGS). The map graphic illustrates an updated version of figure 1 from Ryker (2001). Cited Reference: Ryker, S.J., Nov. 2001, Mapping arsenic in groundwater-- A real need, but a hard problem: Geotimes Newsmagazine of the Earth Sciences, v. 46 no. 11, p. 34-36 at http://www.agiweb.org/geotimes/nov01/feature_Asmap.html. An excel tabular data file, a txt file, along with a GIS shape file of arsenic concentrations (20,043 samples collected by the USGS) for a subset of the sites shown on the map. Samples were collected between 1973 and 2001 and are provided for download.

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

The map of the vulnerability of the groundwater of the Flemish Region can be defined as a map of the degree of risk of contamination of the groundwater in the upper water layer by substances that penetrate into the ground from the bottom, taking only static parameters into account. This map can later serve as a basis for a more detailed map, which can also include dynamic and hydrochemical factors. However, where the upper recoverable aquifer is naturally salinized (< 1500 ppm), this is indicated. An aquifer is considered to be the saturated zone of a formation which has a thickness and extension sufficient to extract water from it in an economically viable manner. A flow rate of at least 4 m³ per hour has been assumed for the card. In practice, this sometimes leads to misunderstandings: the map gives an idea of ​​the first economically interesting water layer, which in many cases does not correspond to the layer that is first approached during excavation work, for example. The second important point is that the maps are made for contaminants that penetrate into the soil from the bottom, taking into account only static factors. i.e. they mainly reflect the danger of the flow-through, especially in a vertical direction, of pollutants carried by seeping water, or of polluting liquids from the surface into the saturated zone through the soil and the unsaturated zone. Factors such as the nature and extent of the contamination, its spread by the flow of the contaminated water under the prevailing hydrogeological conditions, as well as the interaction between the pollutant and the formation are thus not taken into account. In practical terms, the extent and nature of the aquifers and overburdens, together with their hydraulic parameters, in particular the nature and value of the permeability, are taken as starting points. The map is based on three factors. the aquifer, the overburden and the unsaturated zone. These are divided into a number of classes, each with a specific index, after which the final vulnerability scale is drawn up on the basis of combinations of the various indices. A map of the three factors is also available separately: >>>The naturally salinized zones This layer shows the zones where the groundwater in the first aquifer is naturally salinized.

It is a vector dataset. Vector data portray the world using points, lines, and polygons (areas). The recharge data is shown as polygons. Each polygon holds information on: Average Recharge (mm/yr) - average annual recharge to the groundwater aquifer across that polygon Recharge Coefficient (%) – the proportion of effective rainfall that becomes groundwater Effective Rainfall (mm/yr) – the rainwater remaining after plants have taken up some of the rainfall Recharge Pre Cap (mm/yr) - effective rainfall x recharge coefficient, not limited by maximum recharge capacities Recharge Cap Apply – is there a maximum amount of recharge that the aquifer can accept? (Yes/ No) Recharge Maximum Capacity (mm/yr) – the maximum amount of recharge the aquifer can accept. Only applies to bedrock aquifers of category Ll, Pl, or Pu. Average Recharge Range (mm/yr) - Annual Recharge (mm) categorised into a range of values used to style the map. Hydrogeological Setting Code - determined by the combinations of different geological layers Hydrogeological Setting Description – the description of the main geological layers that combine to let different amounts of rainfall through to become groundwater Vulnerability Category – the code for the groundwater vulnerability Vulnerability Description – the groundwater vulnerability description Soil Drainage – whether the soil is well drained or poorly drained Subsoil Type (Quaternary Sediment Code) – the code for the subsoil type Subsoil Description (Quaternary Sediment Description) – description of the subsoil type Sand/Gravel Subsoil – whether the subsoil is sand/gravel or not Subsoil Permeability Code - the code for the permeability of the subsoil Subsoil Permeability Description – description of the subsoil permeability Sinking Stream – indicates the presence of a stream that sinks fully or partially into the ground. Derived from the Groundwater Vulnerability 40K mapping. Sand and Gravel Aquifer Category –Sand and Gravel Aquifer Category from Groundwater Resources (Aquifers) 40K mapping Sand and Gravel Aquifer Description –Sand and Gravel Aquifer Description from Groundwater Resources (Aquifers) 40K mapping Bedrock Aquifer Category –Bedrock Aquifer Category from Groundwater Resources (Aquifers) 100K mapping Bedrock Aquifer Description –Bedrock Aquifer Description from Groundwater Resources (Aquifers) 100K mapping Hydrostratigraphic Rock Unit Group Name– Rock Unit Groups that have hydrogeological significance County – Irish County

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.

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 project consists of 11 files: 1) a zipped folder with a geodatabase containing seven raster files and two shapefiles, 2) a zipped folder containing the same layers found in the geodatabase, but as standalone files, 3) 9 .xml files containing the metadata for the spatial datasets in the zipped folders. These datasets were generated in ArcPro 3.0.3. (ESRI). Six raster files (drainaged, geology, nlcd, precipitation, slope, solitexture) present spatially distributed information, ranked according to the relative importance of each class for groundwater recharge. The scale used for these datasets is 1-9, where low scale values are assigned to datasets with low relative importance for groundwater recharge, while high scale values are assigned to datasets with high relative importance for groundwater recharge. The seventh raster file contains the groundwater recharge potential map for the Anchor River Watershed. This map was calculated using the six raster datasets mentioned previously. Here, the values assigned represent Very Low to Very High groundwater recharge potential (scale 1 - 5, 1 being Very Low and 5 being Very High). Finally, the two shapefiles represent the groundwater wells and the polygons used for model validation. This data is part of the manuscript titled: Mapping Groundwater Recharge Potential in High Latitude Landscapes using Public Data, Remote Sensing, and Analytic Hierarchy Process, published in the journal remote sensing.

Union County, the northeasternmost county in New Mexico, is rural with an economy based on ranching and agriculture. Surface water resources are limited, thus development of groundwater for stock watering and irrigation is important and extensive. Groundwater studies by the New Mexico Bureau of Geology and Mineral Resources (NMBGMR) in Union County have been conducted in concert with the Northeast Soil and Water Conservation District (NESWCD) and were driven by concerns over recent large groundwater appropriations, the reliability of the groundwater supply for the town of Clayton, and declining water levels that have been observed in many wells over the past few years.

The New Mexico Office of the State Engineer (NMOSE) declared the Clayton Underground Water Basin in 2005, ending unrestricted appropriation and development of groundwater in northeast New Mexico. Recently, the NMOSE has started development of a groundwater flow model of the Clayton Basin for administration of water rights. Important input data for a groundwater flow model include accurate delineation of the groundwater surface and an understanding of water level changes over time.

These features delineate the extents of the aquifers in Kansas as identified by the Kansas Geological Survey. The data used to construct this coverage are from the state geologic map of Kansas. These features were developed as part of a larger project to define the extent, chemical quality, and flow systems within the major aquifers in Kansas. The data presented can be used to delineate the extent of the aquifers. Such information is valuable in studies focusing on the management of water resources in these aquifers and other hydraulically connected sources of water.

The Provincial Groundwater Monitoring Network (PGMN) datasets report on ambient (baseline) groundwater level and chemistry conditions.

Groundwater monitoring map

The Global Groundwater Information System (GGIS) is an interactive, web-based portal to groundwater-related information and knowledge. The GGIS consists of several modules structured around various themes. Each module has its own map-based viewer with underlying database to allow storing and visualizing geospatial data in a systematic way. Data sets include global data on transboundary aquifers, global groundwater data by aquifer, and country disaggregation, global groundwater stress (based on GRACE data), global groundwater quality data. There is also specific regional/national data focusing on the following aquifers: Dinaric Karst (Balkans), Ramotswa and Stampriet aquifers (Southern Africa), Esquipulas-Ocotepeque-Citala (Central Amerca), Pretashkent Aquifer (Central Asia). It also provides access to SADC Groundwater Information Portal, and groundwater on Small Island States

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