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.

For many years, the California Department of Water Resources (DWR) has collected land use data throughout the state and used this information to develop water use estimates for statewide and regional planning efforts, including water use projections, water use efficiency evaluation, groundwater model development, 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 compliance issues, 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 identification 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, 2019, 2020, 2021 and PROVISIONALLY for 2022. 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.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP449), Irrigation Water Management Recovery (IWM) on agricultural land by county. Irrigation Water Management Recovery is described as "the process of determining and controlling the volume, frequency, and application rate of irrigation water in a planned, efficient manner.to promote [a] desired crop response." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which IWM's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

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.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Dataset WM1127 contains all the water resource plan (WRP) areas in Queensland that are in force in legislation currently, except for the Great Artesian Basin (GAB) WRP area (dataset WM0702). (For more information see http://www.dnrm.qld.gov.au/water/catchments-planning ). WM1127

replaced WM0924v2 due to the "Water Resource (Burnett Basin) Plan 2014" (Burnett 2014 WRP) coming into force (mapping accuracy improvements were applied for part of the Burnett WRP area).

(Reference: CAS1881, 2026.)

Purpose

Legislation: 2000 Act Number 34, "Water Act 2000", Part 3 "Water planning", Division 2 "Water resource plans", Subdivision 1 "Power to prepare water resource plans", section 38 "Minister may prepare water resource plans" and section 55 "When water resource plans may be amended or replaced" (http://www.legislation.qld.gov.au/OQPChome.htm http://www.legislation.qld.gov.au/LEGISLTN/CURRENT/W/WaterA00.pdf ).

Subordinate legislation: "Water Resource (title) Plan year" (http://www.legislation.qld.gov.au/Acts_SLs/Acts_SL_W.htm ).

Dataset History

Metadata format: Esri ArcGIS v10+ Style: ISO 19139. (Open Data metadata is supplied in three formats: HyperText Markup Language (.htm file), Esri ArcGIS v10+ ArcGIS metadata (.shp.xml file), and International Standards Organisation (ISO) 19139 "Geographic Information - Metadata

• XML schema implementation" of ISO 19115 "Geographic Information - Metadata" (_ISO19139.xml file). View the .htm file in a web browser,

the .shp.xml file in Esri ArcGIS v10+, and the ISO19139 file in other GIS applications. The ArcGIS metadata format is editable in ArcGIS and has

live hyperlinks.) Mapping scale is generally 1:100,000 and enhanced in places with larger scale mapping (for example 1:25,000) and in places by

ground truthing by visiting the location. If required, more information should be obtained from the department where an area of interest is near

to or crossing a boundary. Information asset theme "water management", subtheme "management area", "water resource plan". Attributes: SDI

Spatial Data Index, departmental internal unique identifier for a Feature Object and Feature Class. TITLE Title (name). COMMENCE Commencement date "in force". COMMENCESL Subordinate legislation number. INTERNET Uniform Resource Locator (URL, web address) of

department webpage for the object.

Dataset Citation

Queensland Government (2015) Water resource plan areas - Queensland. Bioregional Assessment Source Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/d2fe0619-4545-4bd0-b983-5cbb4e9399be.

Water Related Land Use (1989 to 1999) consists entirely of data generated from the "Slide Transfer Method" and there is no irrigation type recorded in the attributes. This layer was combined from multiple basin layers to create the most recent state wide layer which is still completely comprised of the "Slide Transfer Method". 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.

Access web apps by the California Department of Water Resources.

The limited availability of renewable fresh water is a major constraint on future agriculture and urban development in Egypt. The main water resource that Egypt has been depending on is the River Nile. Nowadays, the role of groundwater is steadily increasing and will cover 20% of the total water supply in the coming decades especially in the reclaimed areas along the desert fringes of the Nile Delta and Valley. Abstraction from groundwater in Egypt is dynamic in nature as it grows rapidly with the expansion of irrigation activities, industrialization, and urbanization. One of these areas is the Western Nile Delta in which the groundwater is exploited in many localities. To avoid the deterioration of the aquifer system in this area, an efficient integrated and sustainable management plan for groundwater resources is needed. Efficient integrated and sustainable management of water resources relies on a comprehensive database that represents the characteristics of the aquifer system and modeling tools to achieve the impacts of decision alternatives. In this paper, a GIS-based model has been developed for the aquifer system of the Western Nile Delta. The GIS provides the utilization of analytical tools and visualization capabilities for pre-and post-processing information involved in groundwater modeling for the study area. The developed model was calibrated for steady state and transient conditions against the historical groundwater heads observed during the last 20 yr. The calibrated model was used to evaluate groundwater potentiality and to test two alternative management scenarios for conserving the aquifer system in Western Nile Delta. In the first scenario, reducing the surface water inflow while increasing the annual abstraction from groundwater by about 450 million m(3) and improving the irrigation system could increase the net aquifer recharge by about 5.7% and reduce the aquifer potentiality by about 91%. Constructing a new canal as a second management scenario could increase the annual aquifer potentiality by about 23%. The GIS-based model has been proven to be an efficient tool for formulating integrated and sustainable management plan.

NOTE: The IRWM polygons overlap each other. This polygon Feature Class includes IRWM planning regions participating in the State of California Department of Water Resources IRWM grant program. The data will be included as a component of the DWR Atlas of GIS data and be utilized as the feature data set for GIS projects requiring location of IRWM planning regions. This dataset is not to be utilized for survey purpose and is not designed to that accuracy level. Size of initial data set is 622 KB. Including additional attributes, the dataset is not expected to exceed 700 KB in size. Updates to this data will be once a year or as needed in conjunction with the IRWM Regional Boundaries dataset updates. Some IRWM Regions may decide not to participate in the grant program and will be in the attribute table with no spatial reference. An attribute called “Status” may be added to the feature class table. The data steward will be in charge of updating the dataset and responsible for any versioning. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR GIS Spatial Data Standards. DWR makes no warranties or guarantees, either expressed or implied, as to the completeness, accuracy or correctness of the data, nor accepts or assumes any liability arising from or for any incorrect, incomplete or misleading subject data. Comments, problems improvements, updates or suggestions should be forwarded to the official GIS Data Steward as available and appropriate. The Region Acceptance Process (RAP) is a component of the Integrated Regional Water Management (IRWM) Program Guidelines and is used to evaluate and accept an IRWM region into the IRWM grant program. The RAP is not a grant funding application; however, acceptance of the composition of an IRWM region (including the IRWM region’s boundary) is required for DWR IRWM grant funding eligibility. This dataset includes:-the boundaries of the most current IRWM Regions (as submitted to DWR by the respective IRWM planning region)-their RAP status (Accepted or Conditional) as conferred by DWR the year each entity participated in the RAP-a descriptive field noting the date of any subsequent IRWM boundary changes submitted and accepted by DWR.

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).

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.

A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between January and December 2021 was compiled for Bay, Calhoun, Escambia, Franklin, Gadsden, Gulf, Holmes, Jackson, Leon, Liberty, Okaloosa, Santa Rosa, Wakulla, Walton, and Washington Counties, Florida. These counties are fully within the Northwest Florida Water Management District boundaries. Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.

The Digital Geologic-GIS Map of Sagamore Hill National Historic Site and Vicinity, New York is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sahi_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sahi_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sahi_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (sahi_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sahi_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sahi_geology_metadata_faq.pdf). Please read the sahi_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sahi_geology_metadata.txt or sahi_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Automated Geospatial Watershed Assessment (AGWA) tool is a GIS-based hydrologic modeling tool that uses commonly available GIS data layers to fully parameterize, execute, and spatially visualize results for the RHEM, KINEROS2, KINEROS-OPUS, SWAT2000, and SWAT2005 watershed runoff and erosion models. Accommodating novice to expert GIS users, it is designed to be used by watershed, water resource, land use, and resource managers and scientists investigating the hydrologic impacts of land-cover/land-use change in small watershed to basin-scale studies. AGWA is currently available as AGWA 1.5 for ArcView 3.x, AGWA 2.x for ArcGIS 9.x, and AGWA 3.X for ArcGIS 10.x. Planning and assessment in land and water resource management are evolving from simple, local-scale problems toward complex, spatially explicit regional ones. Such problems have to be addressed with distributed models that can compute runoff and erosion at different spatial and temporal scales. The extensive data requirements and the difficult task of building input parameter files, however, have long represented an obstacle to the timely and cost-effective use of such complex models by resource managers. The USDA- ARS Southwest Watershed Research Center, in cooperation with the U.S. EPA Office of Research and Development Landscape Ecology Branch, the University of Arizona, and the University of Wyoming, has developed a GIS tool to facilitate this process. A geographic information system (GIS) provides the framework within which spatially-distributed data are collected and used to prepare model input files and evaluate model results. AGWA uses widely available standardized spatial datasets that can be obtained via the internet. The data are used to develop input parameter files for two watershed runoff and erosion models: KINEROS2 and SWAT.

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.

Download .zipThis ground-water resources theme shows an estimate of sustainable yield available from the aquifers in the area. It was digitized from a paper county map with a scale of 1:62500.

Digitizing used run length encoing techniques sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The horizontal measurement increment was one decafoot (10 feet). Additional details of the digitizing process are available on request. The coverage was susequently converted to Arc/Info vector format.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

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.