This map layer portrays major dams of the United States, including Puerto Rico and the U.S. Virgin Islands. The map layer was created by extracting dams 50 feet or more in height, or with a normal storage capacity of 5,000 acre-feet or more, or with a maximum storage capacity of 25,000 acre-feet or more, from the 79,777 dams in the U.S. Army Corps of Engineers National Inventory of Dams. This is a replacement for the April 1994 map layer.

This layer is sourced from maps.bts.dot.gov.

One of the missions of the Water Resources Center is to ensure that dams in the state are constructed, maintained and operated in a safe manner. This is accomplished by regulation of all non-agricultural, non-federal dams 35 feet or more in height and by providing technical assistance and informational resources to all dam owners.

This dataset provides information on the locations of existing dams, weirs and barrages in Queensland. The data identifies dams and weirs owned and controlled by the Queensland Government. Therefore, information on dams, weirs or barrages owned by local governments, mining companies or the general public is not necessarily included.

This dataset shows the point locations of dams in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Energy Organization: Allegheny County Department: Geographic Information Systems Group; Department of Administrative Services Temporal Coverage: 2003 Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: none Other: none Related Document(s): Data Dictionary (none) Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us

National Inventory of DamsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays dams within the United States, Puerto Rico and Guam. Per the USACE, "The National Inventory of Dams (NID) consists of dams meeting at least one of the following criteria:Dams where downstream flooding would likely result in loss of human life (high hazard potential).Dams where downstream flooding would likely result in disruption of access to critical facilities, damage to public and private facilities, and require difficult mitigation efforts (significant hazard potential).Dams that meet minimum height and reservoir size requirements, even though they do not pose the same level of life or economic risk as those above – these dams are typically equal to or exceed 25 feet in height and exceed 15 acre-feet in storage, or equal to or exceeding 50 acre-feet storage and exceeding 6 feet in height.The NID does not yet contain all dams in the U.S. that meet these criteria. Continued, routine updates to the NID and enhanced data collection efforts, focused on the most reliable data sources (primarily the many federal and state government dam regulatory programs), will help capture these dams and result in a more robust dataset over time."Hoover, Davis & Glen Canyon DamsData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Dams) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 160 (National Inventory of Dams)OGC API Features Link: (National Inventory of Dams - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Inventory of DamsSupport Documentation: Reference DocumentsFor feedback please contact: Esri_US_Federal_Data@esri.comThumbnail courtesy of: Esri Basemaps ImageryNGDA Data SetThis data set is part of the NGDA Water - Inland Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Inland is defined as the "interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information."For other NGDA Content: Esri Federal Datasets

Scoggins Dam in northwest Oregon lies within the Gales Creek fault zone (GCF), a northwest-striking system of active faults forming the boundary between the Coast Range and the Tualatin Valley about 25 km east of Portland, Oregon. Geologic mapping published in 2020 shows the dam to lie within a block-faulted releasing stepover between the right-lateral, NW-striking Scoggins Creek and Parsons Creek strands of the GCF. The Scoggins Creek strand is presently mapped beneath the existing dam about 200 m north of the south abutment. Preliminary results from paleoseismic trenching by the U.S. Bureau of Reclamation, Portland State University, and the U.S. Geological Survey indicate that these two major fault strands have had multiple surface rupturing earthquakes in the Holocene. To confirm the accuracy of the 2020 geologic map and the geometry of the GCF in the releasing stepover region, we completed additional geologic mapping of the dam, reservoir, and an alternative dam site downstream between July 2018 and May 2020. Using high-resolution lidar topographic data and satellite imagery on handheld digital tablets, we collected data at ~500 field sites in the heavily forested terrain. We used these detailed field observations to locate and digitally map the main Scoggins Creek and Parsons Creek fault strands, as well as the cross faults linking the two main strands, to produce an improved and more detailed geologic map and cross sections of Scoggins Valley and its existing and proposed dam sites.

This map layer portrays major dams of the United States, including Puerto Rico and the U.S. Virgin Islands. The map layer was created by extracting dams 50 feet or more in height, or with a normal storage capacity of 5,000 acre-feet or more, or with a maximum storage capacity of 25,000 acre-feet or more, from the 79,777 dams in the U.S. Army Corps of Engineers National Inventory of Dams. This is a replacement for the April 1994 map layer.

Congress first authorized the U.S. Army Corps of Engineers (USACE) to inventory dams in the United States with the National Dam Inspection Act (Public Law 92-367) of 1972. The NID was first published in 1975, with a few updates as resources permitted over the next ten years. The Water Resources Development Act of 1986 (P.L. 99-662) authorized USACE to maintain and periodically publish an updated NID, with re-authorization and a dedicated funding source provided under the Water Resources Development Act of 1996 (P.L. 104-3). USACE also began close collaboration with the Federal Emergency Management Agency (FEMA) and state regulatory offices to obtain more accurate and complete information. The National Dam Safety and Security Act of 2002 (P.L. 107-310) and the Dam Safety Act of 2006 reauthorized the National Dam Safety Program and included the maintenance and update of the NID by USACE. More recently, the NID was reauthorized as part of the Water Resources Reform and Development Act of 2014 and the Water Resources Development Act of 2018. The NID uses a single point to locate a dam. The NID consists of dams meeting at least one of the following criteria; 1) High hazard potential classification - loss of human life is likely if the dam fails, 2) Significant hazard potential classification - no probable loss of human life but can cause economic loss, environmental damage, disruption of lifeline facilities, or impact other concerns, 3) Equal or exceed 25 feet in height and exceed 15 acre-feet in storage, 4) Equal or exceed 50 acre-feet storage and exceed 6 feet in height.

The Dams data set has been generated by the Subdirectorate-General for Hydraulic Public Domain and Infrastructures (Ministry for Ecological Transition and the Demographic Challenge), with periodic updates of the Dams coverage based on the information collected in the database. This data set contains the dams of all Spain regardless of their ownership. Prey means artificial structures that, limiting in whole or in part the contour of an enclosure nestled in the ground, is intended for the storage of water within it. This resource allows you to geolocate this type of infrastructure and evaluate how it affects your environment through GIS tools. It allows to know the technical characteristics of the dams and the status of the documents required by the safety regulations of dams and reservoirs such as: classification operating rules and emergency plans. The associated data that can be consulted in this data set are: a Dam Technical Fiche, the name of the dam, the demarcation, the code of the dam, the channel and the basin that affects and the municipality and province where it is located. This mapping is included in the viewer of the National System of Cartography of Flooded Zones (SNCZI) allowing the user to quickly locate relevant information of the dams and making it possible to make queries about this information.

READ-ONLY The original list of low head dams in Indiana was created by combining inventory spreadsheets from several agencies, including DNR, USGS, Army Corps of Engineers, County Surveyors, and the Indiana Silver Jackets organization. After visits from Conservation Officers and a review by DNR Water, Fish and Wildlife, and Outdoor Recreation divisions, the inventory was modified to update locations of existing dams, remove listings that were not found, and remove listings that did not qualify as a low head dam.

National Inventory of DamsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays dams within the United States, Puerto Rico and Guam. Per the USACE, "The National Inventory of Dams (NID) consists of dams meeting at least one of the following criteria:Dams where downstream flooding would likely result in loss of human life (high hazard potential).Dams where downstream flooding would likely result in disruption of access to critical facilities, damage to public and private facilities, and require difficult mitigation efforts (significant hazard potential).Dams that meet minimum height and reservoir size requirements, even though they do not pose the same level of life or economic risk as those above – these dams are typically equal to or exceed 25 feet in height and exceed 15 acre-feet in storage, or equal to or exceeding 50 acre-feet storage and exceeding 6 feet in height.The NID does not yet contain all dams in the U.S. that meet these criteria. Continued, routine updates to the NID and enhanced data collection efforts, focused on the most reliable data sources (primarily the many federal and state government dam regulatory programs), will help capture these dams and result in a more robust dataset over time."Hoover, Davis & Glen Canyon DamsData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Dams) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 160 (National Inventory of Dams)OGC API Features Link: (National Inventory of Dams - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Inventory of DamsSupport Documentation: Reference DocumentsFor feedback please contact: Esri_US_Federal_Data@esri.comThumbnail courtesy of: Esri Basemaps ImageryNGDA Data SetThis data set is part of the NGDA Water - Inland Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Inland is defined as the "interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information."For other NGDA Content: Esri Federal Datasets

Documented March 19, 2023

!!NEW!!!

GeoDAR reservoirs were registered to the drainage network! Please see the auxiliary data "GeoDAR-TopoCat" at https://zenodo.org/records/7750736. "GeoDAR-TopoCat" contains the drainage topology (reaches and upstream/downstream relationships) and catchment boundary for each reservoir in GeoDAR, based on the algorithm used for Lake-TopoCat (doi:10.5194/essd-15-3483-2023).

Documented April 1, 2022

Citation

Wang, J., Walter, B. A., Yao, F., Song, C., Ding, M., Maroof, A. S., Zhu, J., Fan, C., McAlister, J. M., Sikder, M. S., Sheng, Y., Allen, G. H., Crétaux, J.-F., and Wada, Y.: GeoDAR: georeferenced global dams and reservoirs database for bridging attributes and geolocations. Earth System Science Data, 14, 1869–1899, 2022, https://doi.org/10.5194/essd-14-1869-2022.

Please cite the reference above (which was fully peer-reviewed), NOT the preprint version. Thank you.

Contact

Dr. Jida Wang, jidawang@ksu.edu, gdbruins@ucla.edu

Data description and components

Data folder “GeoDAR_v10_v11” (.zip) contains two consecutive, peer-reviewed versions (v1.0 and v1.1) of the Georeferenced global Dams And Reservoirs (GeoDAR) dataset:

• GeoDAR_v10_dams (in both shapefile format and the comma-separated values (csv) format): GeoDAR version 1.0, including 22,560 dam points georeferenced based on the World Register of Dams (WRD), the International Commission on Large Dams (ICOLD; https://www.icold-cigb.org; last access on March 13th, 2019).
• GeoDAR_v11_dams (in both shapefile and csv): GeoDAR version 1.1 dam points, including 24,783 dams which harmonized GeoDAR_v10_dams and the Global Reservoir and Dam Database (GRanD) v1.3 (Lehner et al., 2011).
• GeoDAR_v11_reservoirs (in shapefile): GeoDAR version 1.1 reservoirs, including 21,515 reservoir polygons retrieved by associating GeoDAR_v11_dams with GRanD v1.3 reservoirs, HydroLAKES v1.0 (Messager et al., 2016), and the UCLA Circa 2015 Lake Inventory (Sheng et al., 2016). The reservoir retrieval follows a one-to-one relationship between dams and reservoirs.

As by-products of GeoDAR harmonization, folder “GeoDAR_v10_v11” also contains:

• GRanD_v13_issues.csv: This file contains the original records of all 7,320 dam points in GRanD v1.3, with 94 of them marked by our identified issues and suggested corrections. These 94 records are placed at the beginning of this table. They include 89 records showing possible georeferencing and/or attribute errors, and another 5 records documented as subsumed or replaced. Our added fields start from column BG and include:
  • “Issue”: main issue(s) of this record
  • “Description”: more detailed explanation of the issue
  • “Lat_corrected”: suggested correction for latitude (if any) in decimal degree
  • “Lon_corrected”: suggested correction for longitude (if any) in decimal degree
  • “Correction_source”: correction source(s)
  • “Harmonized”: whether this GRanD dam was harmonized in GeoDAR v1.1 and the reason.
• Wada_et_al_2017_harmonized.csv: This csv file contains the original records of all 139 georeferenced large dams/reservoirs in Wada et al. (2017; doi:10.1007/s10712-016-9399-6), with our revised storage capacities and spatial coordinates for data harmonization. Our added fields start from column E and include:
  • Revised_capacity_km3: Our revised reservoir storage capacity in cubic kilometers used for harmonization
  • Revised_lat: Revised latitude in decimal degree
  • Revised_lon: Revised longitude in decimal degree
  • Verification_notes: Description of the issues, verification sources, and other information used for harmonization.

Attribute description

This web map features information about Virginia dams and is used in the Dam Safety Map Application.

Locations of Massachusetts dams. Points derived from a dam safety database maintained by the Massachusetts Office of Dam Safety (ODS). The ODS database includes detailed information about each dam for operational purposes.More details...Map service also available

This data repository is connected with the CUAHSI Summer Institute 2024 program, SHARP FIM group.

The data includes flood inundation maps developed using three models (HEC-RAS, OWP HAND-FIM, FLDPLN) for two dam break model scenarios of the Fall River Lake dam, Kansas. The first scenario considered the reservoir at full capacity (dam crest level) and the second scenario considered the reservoir was at the normal pool level (Sunny day failure).

The title of the report: Rapid Flood Inundation Mapping for Catastrophic Floods Due to Dam Failures".

The abstract of the report:

Dam operations and catastrophic failures can severely impact lives and properties. While conventional hydrodynamic models can generate flood inundation maps using numerical methods to solve shallow water equations, these models are complex and computationally intensive. This study uses two terrain-based models, OWP HAND-FIM and FLDPLN, to generate the inundation maps for near real-time operational applications. The dam-break flood hydrograph is empirically calculated as a function of the normal reservoir pool level. The Fall River Dam in Kansas is used as a case study. The peak discharges are attenuated along downstream reaches using a simple analytical solution derived from the diffusive wave equation. These are used to generate flood inundation maps using the two terrain-based models. The maps are evaluated using a benchmark HEC-RAS model with quantitative metrics and flood impacts are analyzed. The results show that terrain-based models can effectively generate flood inundation maps, with the OWP HAND-FIM model achieving an accuracy of 92.1% and the FLDPLN model with an accuracy of 87.5%. The computation runtime for the approach is very short, just a few minutes compared to 17 hours for HEC-RAS. The proposed approach of mapping dam-break inundation can provide near real-time flood impact assessment and scalability for dams across the USA.

Acknowledgments: We thank CIROH, CUASHI, and the NOAA National Water Center (NWC) for their support during the NWC Innovators Program Summer Institute 2024.

Bathymetric, topographic, and grain-size data were collected from May 2013 to October 2016 along a 15-mi reach of the Colorado River in Glen Canyon National Recreation Area, Arizona by the U.S. Geological Survey Grand Canyon Monitoring and Research Center. The study reach is located from river miles -15 at the base of Glen Canyon Dam to 0 at Lees Ferry. Channel bathymetry was mapped using multibeam bathymetry collected in November 2014 and single beam bathymetry collected in February 2015, August 2015, February 2016, and June 2016. Subaerial topography was mapped using photogrammetry derived from aerial Imagery collected in May 2013 and ground-based total-stations collected in February 2015, October 2015, and October 2016. Bed-sediment grain-size data were collected in November 2014 using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps.

The Development Advice Map (DAM) shows areas at risk of flooding from rivers and the sea for the purposes of land-use planning. The DAM supports Planning Policy Wales and Technical Advice Note (TAN) 15 to guide new development away from areas at risk of flooding wherever possible. Together, they form a precautionary framework to guide planning decisions. The DAM should be considered as a trigger for identifying which development proposals may need to undertake a more detailed assessment of flooding risks and consequences in line with the policy advice set out in TAN15.

Zone C (the 1000yr extreme flood outline) was last updated in January 2020. No further updates are planned to the DAM and you are advised to contact Natural Resources Wales (NRW) about the availability of more up-to-date information.

Zone B (areas known to have flooded in the past) was originally published in 2004 and revised in 2017. When using the DAM the preview defaults to Zone B only. You will need to use the legend control to switch on the other zones.

NRW has developed a new Flood Map for Planning (FMfP) which was published in September 2021. This indicates undefended flood extents over the next 100yrs taking into account the impacts of climate change. This will replace the DAM in June 2023. Although the Flood Map for Planning is not referred to in current planning policy, it can be considered as the most up to date information on flooding risks.

Due to technical Issues the Web Services and Map Browser for the Development Advice Map are currently not available. If you wish to browse the data see the NRW Flood Risk Viewer https://maps.cyfoethnaturiolcymru.gov.uk/Html5Viewer/Index.html?configBase=https://maps.cyfoethnaturiolcymru.gov.uk/Geocortex/Essentials/REST/sites/Flood_Risk/viewers/Flood_Risk/virtualdirectory/Resources/Config/Default&layerTheme=2

All charts, queries and maps reflect the most current 2018 National Inventory of Dams (NID) database. State and federal dam regulators provided their data from May to November 2018 for inclusion in the 2018 database.

This map layer portrays major dams of the United States, including Puerto Rico and the U.S. Virgin Islands. The map layer was created by extracting dams 50 feet or more in height, or with a normal storage capacity of 5,000 acre-feet or more, or with a maximum storage capacity of 25,000 acre-feet or more, from the 79,777 dams in the U.S. Army Corps of Engineers National Inventory of Dams. This is a replacement for the April 1994 map layer.

Abstract: Dams are structures built for controlling the flow of water for many useful purposes such as water supply, power generation, retention of mining and industrial waste, as well as recreation and flood control. However, they bring together some risk of dam body collapse causing damage for the dam downstream areas. Therefore, hypothetical dam break studies which provide mapping of areas potentially attainable in the event of a rupture are especially important for planning actions aiming minimization of associated losses. The aim of this research is to assess the degree of adherence or similarity between flood maps obtained by simulation studies and those effectively obtained from the collapse itself occurred in Dam I owned by Vale SA on January 25, 2019. The study focuses mainly on comparing the effects over the simulated flood maps caused by use of different representation of dam downstream topography relief, namely Shuttle Radar Topography Mission (SRTM), Advanced Land Observing Satellite from Alaska Satellite Facility (ALOS_ASF) and Airborne Laser Scanning (ALS) models. The simulations were performed using the HEC-RAS software developed by the US Army Corps of Engineers considering hypothesis of strong influence of relief in flood mapping results. In this way, three simulation tests were carried out for evaluation and discussion. In the first simulation, the digital terrain model derived from ALS was used. The second simulation was carried out associating the digital surface model ALOS_ASF with a spatial resolution of 12.5 m. Finally, the SRTM digital elevation model with 30 m spatial resolution provided by the United States Geological Survey (USGS) was used in third simulation. Results showed better adherence to simulations using data from ALS. This was verified by visual analysis over high resolution orthorectified images and by calculating statistics indicators such as the (F) index. Conclusions pointed out that flood patches resulting from simulation are critical tools for taking actions involving areas and populations to be affected, so the best relief model technologies like ALS data should be used in simulation.