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.

This document outlines some of the methods used by Geoscience Australia (GA) to symbolise the Geology and Hydrogeology map of Timor-Leste. It is designed to be used as a knowledge-sharing and educational tool by water resource management and geology technicians from Timor-Leste government agencies.

This resource is a proposal for a project for the USU CEE 6440, GIS in Water Resources class. The project deals with the use of GIS mapping and hydrologic data for use in outdoor recreation.

This download was updated on Aug. 4, 2025. The Groundwater Quality Protection Act of 1989 provided for development of the EDMS to manage groundwater quality data. In 1992, the Groundwater Quality Council completed Idaho's Groundwater Quality Plan. Policy V-E of the plan addresses the creation of the Environmental Data Management system and states: "All data that reside in the publicly funded Environmental [Data] Management System will be accessible to the general public consistent with the requirements of the Idaho Public Records Act.The Idaho Groundwater Protection Interagency Cooperative Agreement of 2008 establishes EDMS as the repository for groundwater quality data to facilitate cooperative groundwater protection programs among multiple state agencies to be managed by IDWR. EDMS data can be viewed in a web mapping application available from the Idaho Department of Water Resources (IDWR) website.The following Idaho agencies are contributors to EDMS:Agency AbbreviationAgency NameAgency LinkISDAIdaho Dept of Agriculturehttp://www.agri.idaho.gov/IDEQIdaho Dept of Environmental Qualityhttp://www.deq.idaho.gov/IDWRIdaho Dept of Water Resourceshttps://idwr.idaho.gov/INLIDEQ Idaho National Laboratory Oversighthttp://www.deq.idaho.gov/inl-oversight.aspx Some data stored in the EDMS system may not be sufficient for research depending on lab methodologies and/or field sampling techniques. To obtain additional sample details, please contact the contributing agency directly.

Indicator 6.5.1 tracks the degree of integrated water resources management (IWRM) implementation, by assessing the four key components of IWRM:

All well locations from all datasets standardized on the GAMA Program's Groundwater Information System (GAMA GIS). This is a replacement of previous versions, updated quarterly. Authoritative version. WGS 84.All groundwater wells on GAMA Groundwater Information System, accessed April 24, 2023. Sources of data include (as indicated in GM_DATA_SOURCE field):Geotracker: Wells sampled under regulated activities like cleanup and remediation. These are accessible through the California State Water Resources Control Board Geotracker web site.USGS: Wells sampled and analyzed by the U.S. Geological Survey (USGS) through the Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project.GAMA: Wells sampled by California State Water Resources Control Board staff for the GAMA Program Domestic Well Project.DDW: Division of Drinking Water (DDW) wells sampled and regulated for delivered water quality under DDW oversight.DPR: Wells sampled by the Department of Pesticide Regulation (DPR) groundwater program.WDL: Wells in the Department of Water Resources (DWR) water quality sampling network in their water data library.LLNL: Wells sampled for groundwater age, isotopes, or noble gas for the GAMA Program by Lawrence Livermore National Laboratory (LLNL).NWIS: Wells sampled by the USGS and accessible via the National Water Information System (NWIS).UC Davis: Location of wells gathered from multiple local entities for use in the UC Davis Nitrate Report, under agreement with the GAMA Program.LOCALGW: Wells sampled under various local groundwater projects. As of July 30, 2019, this only includes the domestic sampling completed by the Central Coast Regional Water Quality Control Board. ‘GAMA_LOCALGW: Wells sampled under local groundwater projects, generally sampled from private wells from various private and governmental organizations. Data was submitted through the GAMA Data Connection Portal.The field, GM_DATASET_NAME can also help explain the source of the dataset.The corresponding map image layer for these well locations can be found at the following link: All Wells on the GAMA Groundwater Information System - Overview (ca.gov)Direct any questions to: GAMA@waterboards.ca.gov.

This term project will use data collected by the EPA to show a list of water treatment facilities across the United States, what they use to treat their water and a risk assessment of how much chromium contamination could be possible from their water resources used in drinking water treatment.

A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for the fourteen counties that are fully or partially within the Suwannee River Water Management District, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field trips that started in January 2020 and concluded in December 2020, and the crop type, irrigation system type, and primary water source used. A map image of the shapefile is provided. Previously published estimates of irrigation acreage for years since 1982 are included in summary tables.

Water Resources is one of five science mission areas of the U.S. Geological Survey (USGS). Water Resource's mission is to collect and disseminate reliable, impartial, and timely information that is needed to understand the Nation's water resources. This database contains downloadable water-related spatial data files for exploration and analysis. Resources in this dataset:Resource Title: Maps and GIS Data. File Name: Web Page, url: https://water.usgs.gov/maps.html Downloadable spatial data files for exploration and analysis.

NOTICE TO PROVISIONAL 2023 LAND USE DATA USERS: Please note that on December 6, 2024 the Department of Water Resources (DWR) published the Provisional 2023 Statewide Crop Mapping dataset. The link for the shapefile format of the data mistakenly linked to the wrong dataset. The link was updated with the appropriate data on January 27, 2025. If you downloaded the Provisional 2023 Statewide Crop Mapping dataset in shapefile format between December 6, 2024 and January 27, we encourage you to redownload the data. The Map Service and Geodatabase formats were correct as posted on December 06, 2024.

Thank you for your interest in DWR land use datasets.

The California Department of Water Resources (DWR) has been collecting land use data throughout the state and using it to develop agricultural water use estimates for statewide and regional planning purposes, including water use projections, water use efficiency evaluations, groundwater model developments, climate change mitigation and adaptations, and water transfers. These data are essential for regional analysis and decision making, which has become increasingly important as DWR and other state agencies seek to address resource management issues, regulatory compliances, environmental impacts, ecosystem services, urban and economic development, and other issues. Increased availability of digital satellite imagery, aerial photography, and new analytical tools make remote sensing-based land use surveys possible at a field scale that is comparable to that of DWR’s historical on the ground field surveys. Current technologies allow accurate large-scale crop and land use identifications to be performed at desired time increments and make possible more frequent and comprehensive statewide land use information. Responding to this need, DWR sought expertise and support for identifying crop types and other land uses and quantifying crop acreages statewide using remotely sensed imagery and associated analytical techniques. Currently, Statewide Crop Maps are available for the Water Years 2014, 2016, 2018- 2022 and PROVISIONALLY for 2023.

Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer: https://gis.water.ca.gov/app/CADWRLandUseViewer.

For Regional Land Use Surveys follow: https://data.cnra.ca.gov/dataset/region-land-use-surveys.

For County Land Use Surveys follow: https://data.cnra.ca.gov/dataset/county-land-use-surveys.

For a collection of ArcGIS Web Applications that provide information on the DWR Land Use Program and our data products in various formats, visit the DWR Land Use Gallery: https://storymaps.arcgis.com/collections/dd14ceff7d754e85ab9c7ec84fb8790a.

Recommended citation for DWR land use data: California Department of Water Resources. (Water Year for the data). Statewide Crop Mapping—California Natural Resources Agency Open Data. Retrieved “Month Day, YEAR,” from https://data.cnra.ca.gov/dataset/statewide-crop-mapping.

The Department of Water Resources has developed a web-based application to assist in water management planning efforts. The Water Management Planning Tool is an interactive map application that allows users to overlay numerous Geographic Information Systems (GIS) layers onto a map of California, and allows for those GIS layers to be toggled on and off and compared. These boundaries are not definitive and do not establish legal rights or define legal boundaries. Each planning layer includes a brief description and a location or source where the user can find additional information regarding that layer. To access these descriptions, please click on the options button next to each of the layers and select “description”. The Water Management Planning Tool is intended to assist local agencies with their responsibilities related to the California Water Plan, Integrated Regional Water Management, and the Sustainable Groundwater Management Act and as an informational tool for all interested parties.

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

A Geographic Information System (GIS) shapefile and summary tables of the extent of irrigated agricultural land-use are provided for eleven counties fully or partially within the St. Johns River Water Management District (full-county extents of: Brevard, Clay, Duval, Flagler, Indian River, Nassau, Osceola, Putnam, Seminole, St. Johns, and Volusia counties). These files were compiled through a cooperative project between the U.S. Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field surveying that started in November 2022 and concluded in August 2023. Field data collected were crop type, irrigation system type, and primary water source used. A map image of the shapefile is also provided. Previously published estimates of irrigation acreage for years since 1987 are included in summary tables.

The hydrological software market, currently valued at $733 million in 2025, is projected to experience robust growth, driven by increasing demand for accurate and efficient water resource management solutions. The rising frequency and intensity of extreme weather events, coupled with growing concerns over water scarcity and pollution, are compelling governments and organizations to adopt sophisticated hydrological modeling tools. This market expansion is further fueled by advancements in technology, such as cloud computing and AI, which are enhancing the capabilities and accessibility of hydrological software. The integration of these technologies allows for more detailed simulations, better predictions of hydrological events, and improved decision-making processes. Key players like Gardenia, GeoHECHMS, and MIKE SHE are actively shaping this landscape through continuous innovation and strategic partnerships. The market is segmented based on software type (e.g., 2D/3D modeling, GIS integration), application (e.g., flood forecasting, water quality management), and user type (e.g., government agencies, consulting firms). The global nature of water resource challenges ensures that the market will witness significant growth across various regions, with North America and Europe anticipated to hold substantial market shares due to existing infrastructure and regulatory frameworks. Continued technological advancements, coupled with rising awareness of water resource management, will likely propel the CAGR of 8.1% throughout the forecast period (2025-2033). The competitive landscape is marked by a mix of established players and emerging technology providers. Established players leverage their extensive experience and comprehensive product portfolios to maintain market share. However, emerging companies are introducing innovative solutions and disrupting the market with advanced functionalities and cost-effective solutions. Future growth will hinge on the continued development of user-friendly interfaces, integration with other data sources, and the ability to effectively address the specific hydrological challenges of diverse geographic locations. The ongoing development of more sophisticated algorithms and the increasing availability of high-resolution data will further enhance the accuracy and reliability of hydrological models, solidifying the market's long-term growth trajectory. A focus on data security and user training will be crucial for wider adoption and market penetration.

This Web Map Service (WMS) provides a series of geospatial layers focusing on water resource management, groundwater dependency, environmental vulnerabilities, and human interaction with hydrological systems. The data is designed for visualization in GIS applications, supporting analysis of water sustainability, pollution, and resource stress.Key Themes and Layer Descriptions:Fresh Water Abstraction (GP):Fresh water abstraction for industrial use (m³/yr): Annual volumes of water extracted for industrial purposes.Fresh water abstraction for domestic/public water use (m³/yr): Water withdrawal volumes for household and public utilities.Groundwater Dependency (GC and GA):Human dependency on groundwater (GC2.x, GA2.x): Represents the percentage of groundwater reliance for industrial, domestic, and agricultural purposes.Agricultural use (GC2.3, GA2.3): Percentage of agricultural dependency.Industrial use (GC2.4, GA2.4): Percentage of industrial dependency.Domestic use (GC2.2, GA2.2): Percentage of domestic dependency.Environmental Vulnerabilities and Ecosystem Dependency:Vulnerability to pollution (GC1.6): Groundwater susceptibility to contamination, expressed as a percentage.Vulnerability to climate change (GC1.5): Index of potential climate impacts on water systems.Ecosystem dependency on groundwater (GC2.5): Percentage of ecosystems relying on groundwater resources.Groundwater Pollution and Depletion:Groundwater pollution (GC3.2, GA3.2): Indicators of groundwater contamination levels (%).Groundwater depletion (GA3.1): Annual depletion rates (mm/yr).Population Density (GC4.x, GA4.x):Population density (capita/km²): Layers providing demographic insights linked to water resource stress.Groundwater Development Stress (GA4.2):Measures the level of stress on groundwater resources due to development activities (%).Springs and Ecosystem Health (GC2.6):Prevalence of springs (%): Indicates the availability of natural water sources across the area.PurposeThese layers serve as a tool for:Water Resource Management: Analyzing industrial, agricultural, and domestic water use.Sustainability Planning: Identifying regions with high groundwater stress and depletion risks.Environmental Assessment: Evaluating vulnerability to pollution and climate change.Policy Making: Supporting data-driven decisions for sustainable development.

The African Water Resource Database (AWRD) is a set of data and custom-designed tools, combined in a GIS analytical framework aimed at facilitating responsible inland aquatic resource management with a specific focus on inland fisheries and aquaculture. It provides a valuable instrument to promote food security. The AWRD data archive includes an extensive collection of datasets covering the African continent, including: surface waterbodies, watersheds, aquatic species, rivers, political boundaries, population density, soils, satellite imagery and many other physiographic and climatological data. To display and analyse the archival data, it also contains a large assortment of new custom applications and tools programmed to run under version 3 of the ArcView GIS software environment (ArcView 3.x).

This is a point feature class of environmental monitoring stations maintained in the California Department of Water Resources’ (hereafter the Department) Water Data Library Database (WDL) for discrete “grab” water quality sampling stations. The WDL database contains DWR-collected, current and historical, chemical and physical parameters found in drinking water, groundwater, and surface waters throughout the state. This dataset is comprised of a Stations point feature class and a related “Period of Record by Station and Parameter” table. The Stations point feature class contains basic information about each station including station name, station type, latitude, longitude, and the dates of the first and last sample collection events on record. The related Period of Record Table contains the list of parameters (i.e. chemical analyte or physical parameter) collected at each station along with the start date and end date (period of record) for each parameter and the number of data points collected. The Lab and Field results data associated with this discrete grab water quality stations dataset can be accessed from the California Natural Resources Agencies Open Data Platform at https://data.cnra.ca.gov/dataset/water-quality-data or from DWR’s Water Data Library web application at https://wdl.water.ca.gov/waterdatalibrary/index.cfm.

Due to the on-going decline of the alluvial aquifer and the lack of available excess surface water for irrigation diversions in the Cache River critical groundwater area (CRCGA), future resource allocation decisions made in the region will benefit from specific, detailed assessments conducted at the sub-watershed level. Assessments of available water and land resources can be used to identify and prioritize potential sites for conjunctive use projects such as on-farm irrigation reservoirs and in-stream weirs. These can then be integrated with agronomic-irrigation practices to devise different management practice scenarios with the ultimate goal of reducing groundwater withdrawals. To this end, multiple publicly-available geo-referenced spatial data sets for the region were analyzed, including aerial and satellite imagery in visible and near-infrared bands, annual crop type and yields, soils, elevation, along with stream reaches from the National Hydrography Dataset. With this data, possible locations for weirs, reservoirs, and conservation practices were identified. The targeted locations for weirs were related to straight length and slope of a stream reach, and those for reservoirs and conservation set-asides could be related to areas of low productivity and/ or low elevation, poorly draining soils, etc. An interesting result of the assessment that highlights the need for such work was that the subwatersheds over the center of the aquifer cone of depression were also in the headwaters of the L’Anguille River. Streams in these subwatersheds may be too small to support weirs, and thus farmers in the area would have to rely solely on irrigation conservation measures and on-farm storage reservoirs to capture rainfall and field runoff to reduce groundwater withdrawals.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/

The West Virginia Department of Environmental Protection (WVDEP) Water Resources Management Plan Mapping tool was developed in cooperation with the Center for Environmental, Geotechnical and Applied Sciences (CEGAS) at Marshall University. It serves as a public information portal for data related to water resources in the state of West Virginia. The Water Use Section of the WVDEP created this tool to meet the general requirements of the Water Resources Protection and Management Act of 2008. This site provides access to Large Quantity water user reports as well as other GIS data layers pertinent to water resource management in the state of West Virginia.