Filters: Tags: Lake Powell (X)
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The Lake Powell Coring Project was a USGS research effort, in cooperation with the Utah Department of Environmental Quality, U.S. Bureau of Reclamation, and U.S. National Park Service. In the fall of 2018, hydraulic piston cores targeted sediment that had been deposited in Lake Powell. This large reservoir on the Colorado River in Utah and Arizona was created after the completion of Glen Canyon Dam in 1963. Retrieval and analysis of cores was undertaken in response to the Gold King mine release from the Bonita Peak Mining District in Colorado on August 5, 2015. This event resulted in the containment loss of three-million gallons of mine-impacted waters which flowed from the Animas River into the San Juan River,...
In May 2013, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS) Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (blue, green, red and near infrared) with a ground resolution of 20 centimeters (cm). These data are available to the public as 16-bit geotiff files. They are projected in the State Plane (SP) map projection using the central Arizona zone (202) and the North American Datum of 1983 (NAD83). The assessed accuracy for these data is based on 91 Ground Control Points (GCPs), and is reported at 95% confidence as 0.64 meters...
These data were compiled to evaluate impacts of different reservoir management scenarios on sand exposure for aeolian landscape and cultural site resources. Objective of our study was to predict areas of dry, bare Colorado River sand as a function of different management alternative scenarios. These data represent predictions of dry, bare sand for the reach of the Colorado River between Glen Canyon Dam and Bright Angel Creek in Grand Canyon National Park. These data were created during 2023 by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center. These data can be used to understand how the area of sand available for windblown transport might be impacted different...
This data release contains model inputs used to estimate surface water greenhouse gas fluxes from two large arid reservoirs, Lake Powell and Lake Mead. The release also contains empirical, spatially explicit water quality and greenhouse gas data from a single field survey conducted in Lake Powell in July of 2017. Finally, this release contains surface area estimates of shallow (< 15m) tributary regions of Lake Powell under different water level scenarios.
High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and...
Dissolved oxygen estimates were generated to help understand how different alternative management scenarios may affect the likelihood of low dissolved oxygen in Glen Canyon Dam releases. The study aimed to examine the effects of different management alternatives on late summer and early fall dissolved oxygen concentrations in Glen Canyon Dam releases. The estimates represent estimates of dissolved oxygen concentration in Glen Canyon Dam releases between August and October of a given year. These estimates were generated using data collected in Lake Powell reservoir as part of a long-term inter-agency water quality monitoring program conducted by the Bureau of Reclamation, the National Park Service, and the U.S. Geological...
These data consist of measurements of riverbed and floodplain bathymetry and topography, measurements of water-surface elevations and ancillary data. These data are specific to the corridor of the Colorado River from the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah in Canyonlands National Park to the confluence with the Dirty Devil River in Glen Canyon National Recreation Area. The time period for these data are 2020 and 2021. The raster data are digital elevation models (DEMs) for segments of the Colorado River in Canyonlands National Park, Utah and include both bathymetric and topographic data. The data collected in 2020 consist of bathymetric and topographic data for segments of the Colorado...
These data were compiled to assess the physical attributes of the Colorado River and its tributaries in Grand Canyon, including discharge, water temperature, Annual Thermal Units, and the potential future thermal regime of the river due to climate change. The objective of our study was to assess whether this river reach could support various life stages of Colorado pikeminnow (Ptychocheilus lucius). These data represent discharge and water temperature in the river segment between Glen Canyon Dam and the Lake Mead inflow, as well as data from Lake Powell that drive water temperatures in Grand Canyon. These data were collected in the Colorado River in Grand Canyon from 1/1/1950 to 9/8/2021. These data were collected...
These data are remote sensing image-based classification maps of unvegetated river-derived sand along the Colorado River. One map is based on imagery acquired in May 2013 and is a classification of sand located above the wetted river channel in the imagery which was acquired at the approximate contemporary low-flow river discharge of 8,000 cubic feet per second (227 cubic meters per second) and extends from Glen Canyon Dam at Lake Powell to Separation Canyon at Lake Mead, a total distance of approximately 255 river miles (410 river kilometer). Three other maps are based on imagery acquired in May 2002, 2009, and 2013, respectively, and are classifications of sand located above the wetted river channel (at river...
High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Antelope Canyon,
BOR,
Bullfrog,
Bullfrog Bay,
Bureau of Reclamation,
This section of the data release includes core log and spectrophotometry data in the format of a comma-separated value (CSV) file (2018LakePowellCoring_CoreLogData.csv). It is Part 3 (of four) in this data release and provides geophysical core logs at 0.5-cm intervals from a Multi-Sensor Core Logger and Konica Minolta spectrophotometer. This CSV includes the depth in section and hole for each logged point, p-wave amplitude and velocity, gamma density, loop- and point-sensor magnetic susceptibility, electrical resistivity, colorspace data, and measured reflectance wavelengths. Drillhole information, such as location and total recovery, are outlined in “Part 1 – Drillhole information from the 2018 coring project in...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Animas River,
Antelope Canyon,
Bears Ears National Monument,
Bullfrog,
Bullfrog Bay,
This section of the data release includes core and core section information in the format of a comma-separated value (CSV) file (2018LakePowellCoring_CoreSectionInfo.csv). It is Part 2 (of four) in this data release and provides detailed core information. Complete recovery of a core resulted in approximately 3 m of sediment, which was sectioned into lengths not exceeding 1.5 m shipboard. Thus, all cores with >50% recovery contain multiple sections. This CSV includes drillhole, core, and core section identifiers, section lengths, section tops and bottoms, scaled section tops and bottoms, filenames for corresponding core images, and drilling comments. Drillhole information, such as location and total recovery, are...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Animas River,
Antelope Canyon,
Bears Ears National Monument,
Bullfrog,
Bullfrog Bay,
This model archive summary documents the sediment acoustic index model for suspended-sediment concentration developed to compute 15-minute suspended sediment concentration for the U.S. Geological Survey (USGS) station, San Juan River near Bluff, UT (USGS ID: 09379500) from May 2, 2018, onward. This is the first model developed for the site to compute continuous suspended sediment concentration. The methods used follow USGS guidance as referenced in relevant Technical Memoranda and USGS Techniques and Methods, book 3, chap. C5 (TM3-C5, Landers and others, 2016).
These data were compiled to quantify the role of Lake Powell in modulating salinity and reducing overall salt flux from the Upper Colorado River Basin downstream. In addition, these data were used to infer summertime calcite precipitation in Lake Powell (the major proposed sink for salt within the system). The Lake Powell Calcium Magnesium data contains summertime surface water calcium and magnesium concentrations along three transects that span the two major inflows to Lake Powell and the region of Lake Powell closest to the dam. The Modeled Salinity data was used to compare measured total dissolved solid concentrations at Lees Ferry to the instantaneous flow-weighted concentration of total dissolved solid entering...
In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground resolution of 20 centimeters (cm). These image data are available to the public as 16-bit GeoTIFF files, which can be read and used by most geographic information system (GIS) and image-processing software. The spatial reference of the image data are in the State Plane (SP) map projection using the central Arizona zone (FIPS 0202)...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Bright Angel Creek,
Colorado River,
Diamond Creek,
ESRI shapefile,
These data were compiled for/to modeling to assess impact of management scenarios on Colorado River sediment resources. Objective(s) of our study were to assess impact of management scenarios on Colorado River sediment resources. These data represent model results for high flow experiment timing/duration, sand mass balance, sandbar volume, based on the data in the Interim Guidelines SEIS and LTEMP SEIS folders. These data were generated in 2023-2024 and are model simulations of Colorado River sediment resources downstream of Glen Canyon dam. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring & Research Center with models generated and codes written/adapted...
These data were compiled to predict hourly Glen Canyon Dam operations and hydropower impacts. The objective of our study was to estimate hydropower impacts under different future LTEMP sEIS alternatives. These data represent hourly outflow in cubic feet per second, generation in megawatt hours, and economic value of hydropower in nominal dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Cetner using mathematical modeling methods.
This data release is associated with the following Scientific Investigations Report: Root, J.C. and Jones, D.K., 2022, Elevation-area-capacity relationships of Lake Powell in 2018 and estimated loss of storage capacity since 1963: U.S. Geological Survey Scientific Investigations Report 2022–5017, 21 p., https://doi.org/10.3133/sir20225017. This dataset provides elevation-area-capacity relationships for Lake Powell derived from a topobathymetric digital elevation model (TBDEM) that was collected in 2017 and 2018. The TBDEM was modified (Jones and Root, 2021, available for download at https://doi.org/10.5066/P9H60YCF) from the originally published version (Poppenga and others, 2020, available for download at https://doi.org/10.5066/P9XX0J1Y)...
This paper presents data analyses based on information gathered from a recreation survey distributed during the spring of 1997 at Lake Powell. Recreation-linked management issues are the foci of the survey and this discussion. Survey responses to contingent valuation method (CVM) queries included in the questionnaire quantify visitor recreation values. The CVM estimates of the benefits provided by potential resource improvements are compared with the costs of the improvements in a benefit-cost analysis. The CVM questions covered three resources management issues including water quality improvement, sport fish harvest enhancement, and archeological site protection and restoration. The estimated benefits are remarkably...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Lake Powell,
Water International,
contingent valuation,
logistic,
probit
These data are classification maps of total riparian vegetation along the Colorado River in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The total vegetation data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify total vegetation which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and ground truth. The data represent...
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