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.

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 project involved a detailed topographic and land use survey in Center for Water Resources and Environmental Studies, countryside of São Carlos-SP, Brazil, employing advanced technologies like Metashape and Geographic Information Systems (GIS). The survey aimed to accurately map the terrain and assess land use patterns within the specified area. Utilizing Metashape for precise photogrammetry and GIS for spatial analysis, the project provided critical insights into the topographical features and land use. This data is essential for urban planning, environmental management, and future development initiatives in the region.

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.

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

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 15 counties fully within the Northwest Florida Water Management District (Bay, Calhoun, Escambia, Franklin, Gadsden, Gulf, Holmes, Jackson, Leon, Liberty, Okaloosa, Santa Rosa, Wakulla, Walton, and Washington 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 May 2021 and concluded in August 2021. 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 1982 are included in summary tables.

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

Places of Use (POU) represent where water is used from live flow, either surface water or groundwater (e.g., springs, stream or a well), and put to beneficial use under a water right. A water right (WR) must have at least one use, and may have many uses. Uses may be consumptive, such as irrigation or domestic, or non-consumptive, such as power or instream flow. The WRURL attribute links to the water right report. For each WR, any or all points of diversion (POD) can serve any or all uses. Shapes for POUs were initially developed from GCDB as QQ or QQQ polygons based on the POU legal description. Over time, better locational information updates the POU shapes.A water right (WR) can be in one or more of six processes orstages:Application for a new WR or transfer.Permit for applicant to develop the water use.License through which IDWR has approved final configuration and amounts.Claim is a WR or Beneficial Use which has been claimed in an adjudication. Recommendation is what IDWR recommends to the court during an adjudication. A recommendation, when approved by the court, is decreed and supersedes its License, if one previously existed.Transfer of a portion of the WR or claim. Generally through a change of ownership, or change in one or more elements of the WR or claim.

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

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).

Term project for Utah State University CEE 6440 GIS for Water Resources

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.

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 FREEWAT platform is an open-source GIS-integrated plugin developed for comprehensive water resource management and planning. Built on the QGIS platform, it includes multiple modules for addressing water management issues, particularly focusing on groundwater-related processes. Key features include tools for groundwater flow modeling (MODFLOW-2005), solute transport analysis, and density-dependent groundwater flow simulations. With specialized modules like SEAWAT for salinity and FARM for agricultural water management, the platform bridges advanced scientific modeling with practical resource management.FREEWAT leverages Python programming (via FloPy libraries) and a SpatiaLite database to seamlessly connect its components. Its pre-processing tools, such as akvaGIS and OAT, facilitate field data analysis and visualization, while post-processing tools enable users to interpret simulation results effectively. The integration of models for groundwater quality, crop yield predictions, and sensitivity analysis (via UCODE_2014) makes FREEWAT a versatile solution for managing interconnected hydrological and agricultural challenges. This modular design supports comprehensive simulations tailored to stakeholder priorities.With its user-friendly design and free availability, FREEWAT democratizes access to advanced hydrological tools for professionals and researchers. Its broad range of applications includes water quality monitoring, agricultural water management, and long-term resource planning. By integrating open-source simulation codes, the platform enables users to build robust, interconnected models to inform sustainable water management practices. FREEWAT's alignment with the MODFLOW USGS family ensures high compatibility and reliability for scientific and practical applications.

These data represent digital GIS sinkhole coverage for all of Kentucky. The highest elevation, closed, topographic contour of each mapped sinkhole was digitized as a GIS polygon. The second highest elevation contour was also digitized where very large, shallow, karst valleys were so expansive that the area covered by the polygon obscured patterns in sinkhole distribution. These karst valleys are mostly confined to the Western Pennyroyal. The spacing of contour intervals on the topographic maps of the state vary in from 40 foot to 10 foot. No attempt was made to use a constant elevation, standardize the outline to a uniform contour interval, or record the elevation of the digitized contour. Digitization was done onscreen using digital raster graphic files of the 7 ½ minute topographic contours, registered and projected to the Kentucky State Plane coordinate system.

Water Related Land Use (2002 to 2007) consists entirely of data generated from the "New Digital Method" and contains irrigation type and labels recorded in the attributes. This layer was combined from multiple basin layers to create the earliest state wide layer comprised entirely of the "New Digital Method" in which all basins have label and irrigation type information. When using multiple layers from these combined year state wide layers, please take care to verify that you do not duplicate data in certain basins due to how these layers have been generated.The water-related land use program is an effort by the Utah Division of Water Resources to quantify the acreages in the state of various land use types, especially those which are irrigated. Prior to 2017, land use was completed for a single basin each year. The present method is able to utilize historical line-work, attributes, and remotely sensed data to estimate acreage changes for the entire state in a single year.

The Air, Water, and Aquatic Environments (AWAE) research program is one of eight Science Program areas within the Rocky Mountain Research Station (RMRS). Our science develops core knowledge, methods, and technologies that enable effective watershed management in forests and grasslands, sustain biodiversity, and maintain healthy watershed conditions. We conduct basic and applied research on the effects of natural processes and human activities on watershed resources, including interactions between aquatic and terrestrial ecosystems. The knowledge we develop supports management, conservation, and restoration of terrestrial, riparian and aquatic ecosystems and provides for sustainable clean air and water quality in the Interior West. With capabilities in atmospheric sciences, soils, forest engineering, biogeochemistry, hydrology, plant physiology, aquatic ecology and limnology, conservation biology and fisheries, our scientists focus on two key research problems: Core watershed research quantifies the dynamics of hydrologic, geomorphic and biogeochemical processes in forests and rangelands at multiple scales and defines the biological processes and patterns that affect the distribution, resilience, and persistence of native aquatic, riparian and terrestrial species. Integrated, interdisciplinary research explores the effects of climate variability and climate change on forest, grassland and aquatic ecosystems. Resources in this dataset:Resource Title: Projects, Tools, and Data. File Name: Web Page, url: https://www.fs.fed.us/rm/boise/AWAE/projects.html Projects include Air Temperature Monitoring and Modeling, Biogeochemistry Lab in Colorado, Rangewide Bull Trout eDNA Project, Climate Shield Cold-Water Refuge Streams for Native Trout, Cutthroat trout-rainbow trout hybridization - data downloads and maps, Fire and Aquatic Ecosystems science, Fish and Cattle Grazing reports, Geomophic Road Analysis and Inventory Package (GRAIP) tool for erosion and sediment delivery to streams, GRAIP_Lite - Geomophic Road Analysis and Inventory Package (GRAIP) tool for erosion and sediment delivery to streams, IF3: Integrating Forests, Fish, and Fire, National forest climate change maps: Your guide to the future, National forest contributions to streamflow, The National Stream Internet network, people, data, GIS, analysis, techniques, NorWeST Stream Temperature Regional Database and Model, River Bathymetry Toolkit (RBT), Sediment Transport Data for Idaho, Nevada, Wyoming, Colorado, SnowEx, Stream Temperature Modeling and Monitoring, Spatial Statistical Modeling on Stream netowrks - tools and GIS downloads, Understanding Sculpin DNA - environmental DNA and morphological species differences, Understanding the diversity of Cottusin western North America, Valley Bottom Confinement GIS tools, Water Erosion Prediction Project (WEPP), Great Lakes WEPP Watershed Online GIS Interface, Western Division AFS - 2008 Bull Trout Symposium - Bull Trout and Climate Change, Western US Stream Flow Metric Dataset

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.