USA Detailed Water Bodies represents the major lakes, reservoirs, large rivers, lagoons, and estuaries in the United States. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA Detailed Water Bodies.

This data set provides the water quality classifications of New York State's lakes, rivers, streams and ponds, collectively referred to as water bodies. All water bodies in the state are provided a water quality classification based on existing, or expected best usage, of each water body or water body segment. Under New York State's Environmental Conservation Law (ECL), Title 5 of Article 15, certain waters of the state are protected on the basis of their classification. Streams and small water bodies located in the course of a stream that are designated as C (T) or higher (i.e., C (TS), B, or A) are collectively referred to as "protected streams.For more information see https://dec.ny.gov/environmental-protection/water/water-quality/standards-classifications1. The public should not make any business decisions and/or financial commitments based on the water quality classification data until they have secured the necessary permissions from the Department of Environmental Conservation. 2. The NYSDEC asks to be credited in derived products. 3. Secondary distribution of the data is not allowed. 4. Any documentation provided is an integral part of the data set. Failure to use the documentation in conjunction with the digital data constitutes a misuse of the data. 5. Although every effort has been made to ensure the accuracy of information, errors may be reflected in data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other condition.

Hydrographic line features in and around Fairfax County. The original data in this layer was captured during the 1997 data conversion effort for Fairfax County. After that an update capture was completed in 2014 using stereo models from the 2009 Virginia State imagery. Subsequent to that an update capture was completed in 2022 using stereo models from the 2017 Virginia State imagery. The most recent planimetric update was completed in 2024 using orthoimagery from the 2023 and 2022 Eagleview Orthophotos. This contains outlines and centerlines for streams, rivers, lakes, ponds, swamps, paved ditches, and dams.Contact: Fairfax County Department of Information Technology GIS DivisionData Accessibility: Publicly AvailableUpdate Frequency: As NeededLast Revision Date: 3/1/2024Creation Date: 1/1/1997Feature Dataset Name: GISMGR.PLANIMETRICLayer Name: GISMGR.HYDRO_EDGES

In order to provide an accurate data set of service area boundaries for California drinking water systems, the Division of Drinking Water of the California Water Resources Control Board (SWRCB DDW) has undertaken a project to vet and verify the data collected by the Tracking California's Water Boundary Tool (WBT).Note: This feature layer is updated on a regular basis. However, in some locations where it is shared, it shows the “Data Updated” date as the last time the item has changed, not the data. To accurately determine when the data was last updated, open the data table and sort by Last Edited Date field.SWRCB DDW downloaded a copy of the current water system service areas loaded in the WBT as of June 27, 2019. Additional attribute fields indicating verification status, verification staff and system type were appended to the data set. SWRCB DDW staff are reviewing and validating the displayed boundaries of each service area as well as contacting the service providers regarding necessary corrections. The verification status of any particular service area may be found in the Verification Status field.For any questions regarding this dataset, please contact the Data Support Unit at DDW-DSU@waterboards.ca.gov.

Both this geodatabase and its associated web map display the shoreline miles and water acres within the 88 ocean, coastal, and Great Lakes National Park units. The following feature classes are included: "WRD Shoreline Miles Update 2024": Existing shoreline products from federal, state, and NPS sources were visually assessed for each park unit and compared to reference imagery within ESRI ArcGIS Pro to determine the best available data. The resulting shoreline delineation for each park unit was reviewed by NPS park, regional, national, and/or Inventory and Monitoring Network staff, and manual adjustments were made as needed to accurately reflect the shoreline. "WRD Water Acres Update 2024": For park units located in marine settings, “water acres” refers to ocean, estuarine, and tidally influenced waters. For park units in the Great Lakes region, “water acres” refers to freshwater. For all park units, freshwater bodies such as lakes, ponds, and rivers that exist inland of the marine or Great Lake shoreline are excluded. "WRD Park Boundaries 2022": Data current as of December 2022, provided by NPS Land Resources Division (LRD) and accessible via NPS DataStore (with a few exceptions as noted within the attribute table).

This GIS layer consists of the geographic location of active and inactive public (Community, non-transient non-community and transient non-community) water sources labeled by the Water System Identification Number (WSID) and source number (i.e. WL001 or IN002). The water source data and locations are drawn from the State Drinking Water database (SDWIS). The water sources are wells, springs and surface water intakes that predate regulations developed in the 1970s to the present. SDWIS is the repository for state and federal information collected from and about each public water system in Vermont, including bulk and bottled water facilities along with water production and water quality data. "For information regarding attributes of Public Water Source feature layers, please download the:Public Water Sources Data Dictionary

This layer provides the linear water features for geographic display and analysis at regional and national levels. It represents the linear water features (for example, aqueducts, canals, intracoastal waterways, and streams) of the United States. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA National Atlas Water Feature Lines Rivers and Streams.

Mapping of Visible Surface Water (VSW), or water features not concealed by other objects (i.e., tree canopy, bridges, etc.), is an important component of landcover models. VSW is not intended to represent a full hydrography or show connectivity, like other available water datasets – like NHD – whose boundaries may include other landcover types (i.e., shrubs, trees, etc.). Each feature has been visually verified and given attributes by an analyst. This dataset is also unique in that it reflects surface water for a single year - 2017. A variety of funding sources acquired between 2019 and 2023 aided the completion of the dataset for the entire state of Washington. More information on the dataset, current data coverage, and applications can be found on our website: https://hrcd-wdfw.hub.arcgis.com/.

Tip: Try using the filter options on the data tab to limit your download to a single County or WRIA. The filtered download can take a substantial amount of time to initiate, so it may be necessary to download the full dataset if the filter option does not work.

The DNR Hydrography Dataset is the centralized SDE data storage for master versions of DNR hydrographic spatial features (effective 2012). It includes the authoritative versions of the following statewide feature classes:

• DNR Hydrography - DNR Watersheds - Level 08 - All Catchments (polygons) https://gisdata.mn.gov/dataset/geos-dnr-watersheds


• DNR Hydrography - All Water Features (polygons)


• DNR Hydrography - Public Waters Basins (polygons) https://gisdata.mn.gov/dataset/water-mn-public-waters


• DNR Hydrography - Stream Routes with Kittle Numbers and Mile Measures (measured polyline routes) https://gisdata.mn.gov/dataset/water-measured-kittle-routes


• DNR Hydrography - Hydrologic Points of Interest (HPOI) (points) - in development

The DNR Hydrography Dataset is a collection of the "best available" DNR spatial features representing MN surficial hydrology. These features originate from multiple sources representing a range of scales and accuracies. All feature classes are (will eventually be) topologically related and will function as an integrated set of statewide features. Most DNR hydro-related layers are (will eventually be) derived from this central data storage so that master features may be edited once and then remain synchronized among all derived layers.

NOTE: The DNR Hydrography dataset replaces the older DNR 24K and DNR 100K data layers, including those derived layers listed below. Users should discontinue use of these older layers.

100K: dnr_100k_hydro_area_features, dnr_100k_hydro_stream_centerlines, lake_dnrpy2, wetl_dnrpy2, strm_usgsln2
24K: dnr_24k_lakes_and_open_water, dnr_24k_rivers_and_streams, dnr_24k_perennial_stream, lake_openwpy3, strm_baseln3, strm_pwiln3

NOTE: Due to the size of this file, it can only be downloaded as a File Geodatabase.This statewide shapefile contains the freshwater surface water classifications for all named streams in North Carolina. This data was first uploaded on March 6, 2015 and originally pulled from BIMS in November 2014. To learn more about what classifications are, see the Classifications and Standards/Rule Review Branch website. Download this dataset from the DEQ Open Data PageThe Tile Layer for this Feature Layer is DWR Surface Water Classifications.Attributes:BIMS_INDEX: Index number BIMS_Names: Stream Name BIMS_Descr: Description of stream segment (from - to) BIMS_Class: Surface Water Classification BIMS_Date: Date the classification was given to that segment ClassURL: Link to the Classifications website that defines each classification Name: River Basin Contacts:Data Contact: Chris VentaloroLayer/Service Contact: Melanie Williams Updates: 05/24/2016: Changed the URL for the classifications page; fixed the Clear Creek (FBR) line segment; re-uploaded this as a new feature service with the ability to overwrite. 6/1/2017: Geometry for Index Numbers 18-(71) of the Cape Fear River and 18-88-1 of Walden Creek were missing from the feature service. The geometry was corrected with the existing file on local servers and the online feature service was overwritten. This feature layer can be found in the NC Surface Water Classification map application.

This layer (hosted feature layer) depicts the water mains in the City of Canton, GA. This data set is maintained by the City of Canton's GIS division.For specific questions about this data or to provide feedback, please contact the City's GIS division: Alaina Ellis GIS Analyst alaina.ellis@cantonga.gov (770) 546-6780 Canton City Hall 110 Academy Street, Canton, GA 30114

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

Water utility areas in Johnson County

Data OriginThe dataset provided by Ofwat is rooted in legal records. The dataset is digitised from the official appointments of companies as water and sewage undertakers, which include legally binding documents and maps. These documents establish the specific geographic areas each water company is responsible for. The dataset was sourced from Constituency information: Water companiesData TriageAnonymisation is not required for this dataset, since the data is publicly available and focuses on geographical boundaries of water companies rather than individual or sensitive information. The shapefile serves a specific purpose related to geospatial analysis and regulatory compliance, offering transparent information about the service areas of different water companies as designated by Ofwat.Further ReadingBelow is a curated selection of links for additional reading, which provide a deeper understanding of the water company boundaries datasetOfwat (The Water Services Regulation Authority): As the regulatory body for water and wastewater services in England and Wales, Ofwat's website is a primary source for detailed information about the water industry, including company boundaries.Data.gov.uk: This site provides access to national datasets, including the Water Resource Zone GIS Data (WRMP19), which covers all water resource zones in England. This dataset is crucial for understanding geographical boundaries related to water management.Water UK: As a trade body representing UK water and wastewater service providers, Water UK's website offers insights into the industry's workings, including aspects related to geographical boundaries.Specifications and CaveatsWhen compiling the dataset, the following specifications and caveats were made:This shapefile is intended solely for geospatial analysis. The authoritative legal delineation of areas is maintained in the maps and additional details specified in the official appointments of companies as water and/or sewerage undertakers, along with any alterations to their areas.The shapefile does not encompass data on any structures or properties that, despite being outside the designated boundary, are included in the area, or those within the boundary yet excluded from the area.In terms of geospatial analysis and visual representation, the Mean High Water Line has been utilized to define any boundary extending into the sea, though it's more probable that the actual boundary aligns with the low water mark. Furthermore, islands that are incorporated into the area might not be included in this representation.Ofwat’s data was last updated on 25th May 2022Contact Details If you have a query about this dataset, please email foi@ofwat.gov.uk

Data for maps and figures in "Global Potential for Harvesting Drinking Water from Air using Solar Energy" in Nature.

Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually hig ...

September 2025

This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

Bear Lake provides a unique location to use bathymetric data to analyze the relationship between changing water surface elevations and the accessible spawning habitat for fish species. The spawning habitat for the prey species of Bear Lake consists of cobble which is present in the littoral zone of the lake. The littoral zone is classified as the area of the water column that has light penetration, sufficient for macrophytes to photosynthesis, to reach the sediment floor of the lake. The analysis was performed using ESRI’s ArcMap and Python coding to calculate, automate, and illustrate this relationship; and to provide a possible methodology for water and wildlife management to apply to their unique situations to make informed decisions in the future. This method is advantageous when analyzing present or future conditions because of its versatility to create hypothetical scenarios.

The planimetric data was compiled by The Sanborn Map Company, Inc for the Metropolitan District and is based on an aerial flight performed in April 2015. In addition, the City's GIS staff has been updating limited planimetric features based on information on file in various City departments. The planimetric data has also been updated in 2016 and yearly to current based on spring aerial flights by EagleView.