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TwitterArc Hydro (AH) is a geospatial and temporal data model for water resources, which operates within ArcGIS and was developed by the GIS in Water Resources (GISWR) Consortium in the United States. The Consortium is comprised of several members including:
AH consists of a set of tools used to create and support a comprehensive water resources framework for hydrologic and related geospatial data analysis. The original focus of Arc Hydro was to support surface water modeling, but work has progressed into the groundwater realm. ESRI plans to link the two systems into one complete data modeling framework in the near future.
The Ministry of Natural Resources - Water Resources Information Program (WRIP) was involved in a multi-year project to develop standardized Arc Hydro surface water data sessions based on the Quaternary Watershed fabric for the Province of Ontario. Each session contains foundation layers required for fundamental hydrologic watershed analysis.
To meet the requirements of Arc Hydro, the project team followed rigorous quality checking and assurance procedures which resulted in extensive and significant base data improvements across the Province. These enhancements are regarded collectively as a 'snapshot' version of our hydrology base and derivative products. Base data updates are happening on a continual basis, which will have implications on any derivative or related product that has been produced to date by the Province. Any further work in Arc Hydro will depend on available resources and support from the various business areas interested in utilizing these data and tools.
Some key elements of the project include:
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This is a file geodatabase download of SFWMD Arc Hydro Enhanced Database (AHED). This database includes hydrography feature classes such as canals, structures, and drainage areas.The Arc Hydro Enhanced Database (AHED) provides a geographically comprehensive database of hydrographic data features for the South Florida Water Management District (SFWMD).This file geodatabase includes relationship classes and domains. It contains the following feature classes:BasinSubbasinWatershedSubwatershedHydroedge (Canals)HydrojunctionStructureRainmeshRainAreaWaterbodyThese feature classes are also provided on this site as individual downloads. The AHED data is updated quarterly.
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TwitterThe South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. The SFWMD manages the water resources of various interconnected areas in south Florida, which are defined in the SFWMD ArcHydro Enhanced Database (AHED) as “AHED Rain Areas”. The SFWMD is interested in summarizing change factors for each individual AHED Rain Area to use in future planning efforts. Geospatial data provided in an ArcGIS shapefile named “AHED_basins.shp” are described herein. The shapefile contains polygons for the AHED Rain Areas defined in the South Florida Water Management District (SFWMD)'s ArcHydro Enhanced Database (AHED) including their acreages.
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TwitterThis dataset consists of a personal geodatabase containing several vector datasets. These datasets may be used with the ArcHydro Tools, developed by ESRI in partnership with the U.S. Geological Survey, StreamStats Development Team. The datasets, together with the ArcHydro Tools and the ArcHydro 8-digit HUC datasets for an area of interest, allow users to delineate watersheds and compute several watershed characteristics.
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TwitterThis dataset consists of a personal geodatabase containing several vector datasets. This database contains the information needed to link the HUCs together so a watershed may be delineated that spans more than one 8-digit HUC. These datasets may be used with the ArcHydro Tools, developed by ESRI in partnership with the U.S. Geological Survey, StreamStats Development Team. The datasets, together with the ArcHydro Tools and the ArcHydro 8-digit HUC datasets for an area of interest, allow users to delineate watersheds and compute several watershed characteristics.
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TwitterThese datasets each consist of a workspace (folder) containing a collection of gridded datasets plus a personal geodatabase containing several vector datasets. These datasets are designed to be used with the ArcHydro Tools, developed by ESRI in partnership with the U.S. Geological Survey, StreamStats Development Team. The datasets, together with the ArcHydro Tools, allow users to delineate watersheds and compute several watershed characteristics. The datasets are distributed in folders named for the 8-digit Hydrologic Unit Code (HUC) each covers. The data structure is the same for each HUC. For Hawaii, the HUCs included correspond to the five largest islands.
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TwitterThese datasets consist of a workspace (folder) containing a collection of gridded datasets plus a personal geodatabase containing several vector datasets. These datasets are designed to be used with the ArcHydro Tools, developed by ESRI in partnership with the U.S. Geological Survey, StreamStats Development Team. The datasets, together with the ArcHydro Tools, allow users to delineate watersheds and compute several watershed characteristics. The datasets are distributed in folders named for the 8-digit Hydrologic Unit Code (HUC) each covers. The data structure is the same for each HUC.
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TwitterArc Hydro Machinery Industry And Trade Limited Company Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterHydroJunctions are points that are created from the endpoints of HydroEdge features plus additional strategic locations on the flow network. These include the location of Structures, Streams, QuadBasins, and MonitoringPoints projected to the flow network, as well as the centroids of waterbody polygons projected on the flow network. HydroJunctions are an important part of the Arc Hydro model in terms of creating the relationships among feature classes. It is through HydroJunctions that features in other feature classes are related to the network. HydroJunctions are created in the process of building the geodatabase, using a combination of manual and automated methods, as described in the methodology document. When new Structures, MonitoringPoints, QuadBasins, HydroEdges and Waterbodies are added to the database, new HydroJunctions need to be created. Date of last update: December 2013.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The Alberta ArcHydro Phase 2 Data was developed to support the delineation of catchment areas in the province of Alberta. It was generated using a DEM which had the Base Stream and Flow Representation (Single Line Hydrography Network) burned (excavated) into it. The data is divided into eighteen major basins across Alberta using an ArcHydro ID to relate the datasets.
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TwitterRiver and Stream lines that represent flowlines and cartographic features such as stream centerlines and river banks.Original data was extracted using Linear hydrographic features, including rivers, streams, and artificial flow paths through waterbodies. Data were captured from USGS 7.5 minute mylar separates containing the "blue-layer" from the U.S. Geological Survey's 1:24000-scale quadrangle maps.Waterlines features updated in 2019 using Arc Hydro extension for ArcGIS Pro and 2018 Digital Elevation Model
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TwitterThis datasets contain GIS files related to the hydrology and watersheds of Accomack and Northampton Counties on the Eastern Shore of Virginia. Data include named and unnamed water bodies, rivers and streams (both center flowlines and area polygons showing bank-full width for larger features), wetlands and marshes, and shorelines. A static (2013-09-06) copy of the full USGS "National Hydrography Dataset (NHD) - High Resolution - Virginia" state-extracted dataset in original ESRI file-geodatabase format, downloaded on 2014-02-21 from nhd.usgs.gov, is included. For users who may not be able to read or make use of data in ESRI proprietary geodatabase formats, shapefiles of geographic feature classes contained within the HUC8 subbasins spanning Accomack and Northampton Counties (partly or wholly) are also provided. Note that the stream network nodal topology, which can be used to evaluate and analyze flow paths as part of a fully-functional hydrological network with GIS tools such as Arc Hydro and Network Analyst, are only available within the ESRI file-geodatabase file. The primary purpose of this dataset is to provide VCRLTER researchers and students with a convenient up-to-date set of GIS data layers in one location that can be used as base layers for various map products and for conducting research activities. A secondary purpose of this dataset is to extend hydrologic data coverage in the VCRLTER data catalog to include Accomack County and to supersede older USGS DLG data contained in the Northampton County GIS data package (VCRLTER dataset VCR14219).
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TwitterLayout of the network that details the natural watercourses of Navarre, themed according to their category. It is consistent with the ArcHydro data model, developed by the Environmental Systems Research Institute (ESRI) and the University of Texas.
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TwitterModeled treatment areas within the Barrow Biocomplexity study area. Data were derived using the Digital Elevation Model derived for the study area from airborne Light Detection and Ranging (LiDAR) data in the Arc Hydro extension to ArgGIS 9.2. Treatment areas were defined from the catchment area of the thaw lake basin and the location of the dikes that were installed to separate the basin in to the different treatment areas. The northern treatment area became the flooded treatment, the central area the drained treatment area and the southern treatment the control area.
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TwitterThis dataset contains Barrow Area Remote Sensing - Brw Be Catchment data. Modeled catchment area and sub-catchments within the Barrow Biocomplexity study area. Data were derived using the Digital Elevation Model derived for the study area from airborne Light Detection and Ranging (LiDAR) data in the Arc Hydro extension to ArgGIS 9.2. Catchments areas are the modeled partition between drainage lines outlined for the biocomplexity area. GIS shape files are contained in a single ZIP file.
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TwitterModeled drainage points within the Barrow Biocomplexity study area. Data were derived using the Digital Elevation Model (DEM) derived for the study area from airborne Light Detection and Ranging (LiDAR) data in the Arc Hydro extension to ArgGIS 9.2. Points indicate probable interception between two or more drainage lines within the study area prior to the initiation of the flooding and draining experiment.
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TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
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This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.
The National Groundwater Information System (NGIS) geodatabase for was developed by lead water agencies from all States and Territories based on the NGIS data model, which was developed and maintained by the Bureau. Refer to the NGIS Data Dictionary and Schema Diagram (included) for further information on the NGIS data model.
The format for NGIS is an ESRI file geodatabase. ESRI ArcGIS Version 10 (or beyond) is needed to use NGIS.
The National Groundwater Information System (NGIS) is a geodatabase for storing nationally consistent groundwater data based on ESRI's ArcHydro for Groundwater data model. It focuses on bore and bore log (lithology, bore construction and hydrostratigraphy) data. It also includes georasters and geovolumes for selected areas.
The Bureau of Meteorology maintains the NGIS data model that standardises and spatially-enables groundwater data. The lead water agencies in each State/Territory (plus Water Corporation in Western Australia) export data from their corporate groundwater databases into State/Territory NGIS geodatabases. The Bureau of Meteorology maintains the NGIS data model and collates State/Territory geodatabases into the national geodatabase.
The data product extent is Geographic Australia (as defined by Acts Interpretation Act 1901). The product will be updated in December of each year following the receipt of updated State/Territory geodatabases at the end of September through the Water Regulations (Commonwealth legislation that requires agencies to deliver water data to the Bureau under the Water Act).
The NGIS contains the following datasets:
Bore - \tPoint feature class that represents the location of a bore and associated attributes. Multiple independently screened bore pipes are regarded as a separate bore features.
Bore log - Hydrostratigraphy log. Table with strata classified into hydrogeological units along a borehole
Lithology log\t- Table with driller's or geologist's description of rock or sediment types along a borehole
Construction log -\tTable with bore construction information along a borehole (e.g. casing and screen)
Bore line -\t3D line feature class that represents the hydrogeologic units along a borehole
Construction line\t- 3D line feature class that represents the construction information (e.g. casing and screen) along a borehole
Hydrogeologic unit -\tTable summarising hydrogeologic units and hydrogeologic complexes and their attributes. Includes both state/territory and National Aquifer Framework (NAF) terminology.
The National Groundwater Information System is a spatial database that contains a range of groundwater information submitted by States and Territories. The system contains more than 800,000 bore locations with associated lithology logs, bore construction logs and hydrostratigraphy logs. 2D and 3D aquifer geometries are also available for some areas.
Hydrogeologic units within the system have been standardised for national consistency using the National Aquifer Framework.
For documentation on the data model, data dictionary and data product specification:
http://www.bom.gov.au/water/groundwater/ngis/documentation.shtml
Bureau of Meteorology (2013) National Groundwater Information System (NGIS) v1.1. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/e157b1cd-3cb7-4cf9-a13c-a6bed576b8c7.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Heihe River Basin (HRB) is an inland watershed in northwest China with a total area of approximately 130,000 km(2), stretching from the Qilian Mountains in the south to the oases and agricultural fields in the middle and further to the Gobi desert in the north bordering Mongolia. As part of a major ecohydrological research initiative to provide a stronger scientific underpinning for sustainable water management in arid ecosystems, a regional-scale integrated ecological and hydrological model is being developed, incorporating the knowledge based on the results of environmental isotope tracer analysis and the multiscale observation datasets. The first step in the model development effort is to construct and calibrate a groundwater flow model for the middle and lower HRB where the oases and vegetation along the Heihe river corridor are highly dependent on groundwater. In this study, the software tool Arc Hydro Groundwater' is used to build and visualize a hydrogeological data model for the HRB that links all relevant spatiotemporal hydrogeological data in a unified geodatabase within the ArcGIS environment. From the conceptual model, a regional-scale groundwater flow model has been developed using MODFLOW-2005. Critical considerations in developing the flow model include the representation of mountainous terrains and fluvial valleys by individual model layers, treatment of aquifer heterogeneities across multiple scales and selection of proper observation data and boundary conditions for model calibration. This paper discusses these issues in the context of the Heihe River Basin, but the results and insights from this study will have important implications for other large, regional groundwater modelling studies, especially in arid and semiarid inland river basins. Copyright (c) 2014 John Wiley & Sons, Ltd.
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.
An R script (basin_boxplot.R) is provided provided as an example on how to create a wrapper function that will automate the generation of boxplots of change factors for all AHED basins. The wrapper script sources the file create_boxplot.R and calls the function create_boxplot() one AHED basin at a time to create a figure wi ...
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TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied
Note: This data has not been incorporated into the National Groundwater Information dataset as yet and is the latest extract provided by NSW Office of Water to the Bureau of Meteorology for incorporation in the National Groundwater Information System.
The NGIS geodatabase for was developed by lead water agencies from all States and Territories based on the NGIS data model, which was developed and maintained by the Bureau. Refer to the NGIS Data Dictionary and Schema Diagram (included) for further information on the NGIS data model.
The format for NGIS is an ESRI file geodatabase. ESRI ArcGIS Version 10 (or beyond) is needed to use NGIS.
The National Groundwater Information System (NGIS) is a geodatabase for storing nationally consistent groundwater data based on ESRI's ArcHydro for Groundwater data model. It focuses on bore and bore log (lithology, bore construction and hydrostratigraphy) data. It also includes georasters and geovolumes for selected areas.
The Bureau of Meteorology maintains the NGIS data model that standardises and spatially-enables groundwater data. The lead water agencies in each State/Territory (plus Water Corporation in Western Australia) export data from their corporate groundwater databases into State/Territory NGIS geodatabases. The Bureau of Meteorology maintains the NGIS data model and collates State/Territory geodatabases into the national geodatabase.
The data product extent is Geographic Australia (as defined by Acts Interpretation Act 1901). The product will be updated in December of each year following the receipt of updated State/Territory geodatabases at the end of September through the Water Regulations (Commonwealth legislation that requires agencies to deliver water data to the Bureau under the Water Act).
The NGIS contains the following datasets:
Bore - Point feature class that represents the location of a bore and associated attributes. Multiple independently screened bore pipes are regarded as a separate bore features.
Bore log - Hydrostratigraphy log. Table with strata classified into hydrogeological units along a borehole
Lithology log - Table with driller's or geologist's description of rock or sediment types along a borehole
Construction log - Table with bore construction information along a borehole (e.g. casing and screen)
Bore line - 3D line feature class that represents the hydrogeologic units along a borehole
Construction line - 3D line feature class that represents the construction information (e.g. casing and screen) along a borehole
Hydrogeologic unit - Table summarising hydrogeologic units and hydrogeologic complexes and their attributes. Includes both state/territory and National Aquifer Framework
This version of NSW Office of Water NGIS extract has been used in the reprocessing of GW Economic Assets for Hunter and Glouster PAEs.
This update for NSW was compiled by NSW Office of Water and delivered to the Bureau to be ingested into the National Database.
The National Groundwater Information System is a spatial database that contains a range of groundwater information submitted by States and Territories. The system contains more than 800,000 bore locations with associated lithology logs, bore construction logs and hydrostratigraphy logs. 2D and 3D aquifer geometries are also available for some areas.
Hydrogeologic units within the system have been standardised for national consistency using the National Aquifer Framework.
For documentation on the data model, data dictionary and data product specification:
http://www.bom.gov.au/water/groundwater/ngis/documentation.shtml
NSW Office of Water (2014) NSW Office of Water - National Groundwater Information System 20141101v02. Bioregional Assessment Source Dataset. Viewed 09 October 2018, http://data.bioregionalassessments.gov.au/dataset/6c364d09-fc3b-47c3-aa98-6c702d3d8137.
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TwitterArc Hydro (AH) is a geospatial and temporal data model for water resources, which operates within ArcGIS and was developed by the GIS in Water Resources (GISWR) Consortium in the United States. The Consortium is comprised of several members including:
AH consists of a set of tools used to create and support a comprehensive water resources framework for hydrologic and related geospatial data analysis. The original focus of Arc Hydro was to support surface water modeling, but work has progressed into the groundwater realm. ESRI plans to link the two systems into one complete data modeling framework in the near future.
The Ministry of Natural Resources - Water Resources Information Program (WRIP) was involved in a multi-year project to develop standardized Arc Hydro surface water data sessions based on the Quaternary Watershed fabric for the Province of Ontario. Each session contains foundation layers required for fundamental hydrologic watershed analysis.
To meet the requirements of Arc Hydro, the project team followed rigorous quality checking and assurance procedures which resulted in extensive and significant base data improvements across the Province. These enhancements are regarded collectively as a 'snapshot' version of our hydrology base and derivative products. Base data updates are happening on a continual basis, which will have implications on any derivative or related product that has been produced to date by the Province. Any further work in Arc Hydro will depend on available resources and support from the various business areas interested in utilizing these data and tools.
Some key elements of the project include: