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Glen Canyon Institute (GCI) was founded in 1996 as a charitable 501(c)3 nonprofit organization with the mission of restoring a healthy Colorado River through Glen Canyon. Leading the movement to restore this uniquely beautiful place, Glen Canyon Institute immediately began work to conduct scientific studies on the impacts of Glen Canyon Dam, and compiled the results in the Citizen's Environmental Assessment (CEA), which was released in 2001. Around that same time, a series of low-runoff years began dropping reservoir levels at Lake Powell significantly, reaching elevation 3555, down 145 feet and only 33% of full, on April 8, 2005. The shrinking reservoir exposed more than 40 miles of the mainstem Colorado and San...
These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen Canyon Dam and the full pool level of Lake Mead. The objectives of the GCMRC riparian vegetation monitoring program are to annually measure and summarize the status (composition and cover) of native and non-native vascular plant species within the riparian zone of the Colorado River between Glen Canyon Dam and Lake Mead, assess change in the vegetation composition and cover in the riparian zone, as related to geomorphic setting and dam operations, particularly flow regime, and collect data in a manner that can be used by multiple stakeholders and is...
These data are a species-level classification map of riparian vegetation in the Colorado River riparian corridor in Grand Canyon, Arizona, USA. The classification is derived from 0.2 m pixel resolution multispectral aerial imagery acquired in May 2013. The classification spans the riparian zone of the river corridor between Glen Canyon Dam near Page, Arizona, and Lake Mead at Pearce Ferry, Arizona. The classification is divided into 5 distinct reaches of the river: Glen Canyon, Marble Canyon, Eastern Grand Canyon, Western Grand Canyon upstream of Diamond Creek, and Western Grand Canyon downstream of Diamond Creek. The method used for classification was a combination of supervised Classification And Regression Tree...
These data were compiled to assess physiological responses of plants to short-term changes in streamflow, both increased and decreased. Objective(s) of our study were to determine the degree to which plants with different habitat preferences and functional strategies responded to short-term increases or decreases in the elevation of the water table. These data represent streamflow rates, temperature, and metrics of plant water status. These data were collected in Glen Canyon National Recreation Area from March 13-27, 2021, and collected by the U.S. Geological Survey-Grand Canyon Monitoring and Research Center. Streamflow data were obtained from the Lees Ferry gage station, and temperature data were obtained from...
These data were compiled to support stranding risk modeling of young-of-year rainbow trout in Glen Canyon resulting from fluctuating flows from Glen Canyon Dam, called Trout Management Flows (TMFs). The objective of our study was to evaluate the stranding risk associated with different TMFs. We used the results of a 2-dimensional hydrodynamic model (Wright and others, 2024) as input to a rainbow trout stranding model and described in the associated Larger Work Citation. This data table was developed to link the data output tables of Wright and others (2024) and the trout stranding model to a commonly used and standardized measure of distance along the Colorado River between Glen Canyon Dam and Lees Ferry, AZ (Gushue...
These data are classified maps of water in the Colorado River at a discharge of approximately 227 meters squared/second 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 water classification 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 water which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and...
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...
These data are records collected from six automated weather stations in operation between January 1, 2014 and December 31, 2015 within the Colorado River Corridor of Grand Canyon National Park and Glen Canyon National Recreation Area. Data collection locations, equipment configurations and methods follow those of the original report (OFR 2014-1247). These files are 4-minute interval data for each of the automated weather stations, tab separated by parameter (wind direction, wind speed, wind gusts, air temperature, relative humidity, barometric pressure, and rainfall). Climatic conditions during the reporting period were warm and dry early in 2014 and transitioned to average to slightly above precipitation from mid-2014...
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 were compiled to better understand sedimentation patterns on the bed of the Colorado River in Grand Canyon National Park, and the way these patterns relate to suspended sediment grain size and concentration. These data were collected by the US Geological Survey Grand Canyon Monitoring and Research Center from 2000 to 2014, primarily using the "Flying Eyeball" underwater imaging system. This dataset is composed of over 50,000 samples, as part of 16 individual data tables from 16 research expeditions. On each expedition, grain size measurements were made in a grid-like pattern over short segments of the river. Each point sample includes mean grain size, geographic coordinates, date, and geomorphic setting.
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...
These data were compiled to model the effects of flow regime and bed grain size distributions on rates of gross primary production (GPP) in the Colorado River below Glen Canyon Dam, AZ, USA. The objectives of our study were to quantify daily and weekly scale effects of an experimental flow regime on GPP in the Colorado River. The experimental flow was conducted at Glen Canyon Dam from May-August in 2018, 2019, and 2020 and contrasted steady-low flows on weekend days with business-as-usual hydropeaking flows during weekdays. This data release only contains data through 2019. These data represent daily-scale estimates of GPP, discharge, turbidity, water depth, and canyon shading for eleven reaches on the Colorado...
This metadata references a comma-delimited file describing 492 digitized prints of large-format photographs from 160 viewpoints. The photographic images themselves are referenced in a separate metadata file entitled "Photographs Showing Change in Riparian Vegetation in the Grand Canyon, 1889-2012". The viewpoints were first photographed by Stanton in 1889-1890, and then re-photographed in about 1989-1992 and 2010-2012. This set of photos focuses on change in riparian vegetation and partially overlaps a larger set of Stanton viewpoints re-photographed by Webb and others and available at http://wwwpaztcn.wr.usgs.gov/fscc/stanton-repeat-photography/index.php. The file of descriptive information gives viewpoint stake...
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,
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OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Antelope Canyon,
BOR,
Bullfrog,
Bullfrog Bay,
Bureau of Reclamation,
These data were estimated for use in the bioecomomic model simulation of the rainbow trout population in the Colorado River in Marble Canyon. The initial rainbow trout abundance is a vector (RBT_intN) representing the population of rainbow trout within each river segment (151 mile long sergments) along the mainstem of the Colorado River from Lees Ferry to 151 river miles downstream. The movement matrix (MMat) is a distribution that estimates the probability that a rainbow trout wil move to any one of the 151 river segments downstream of Lees Ferry.
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.
These data were compiled to visualize the extent of Lake Powell at various elevation levels. These data represent water surface elevations for Lake Powell at levels critical to the operation of Glen Canyon Dam, at 5 foot intervals from the "Equalization Tier" ("Full Pool") to "Dead Pool", and at maximum and minimum elevations each water year throughout Glen Canyon Dam's operating history. These data were created for Lake Powell in Arizona and Utah. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring & Research Center by reclassifying "Modified topobathymetric elevation data for Lake Powell" (Jones and Root, 2021) at discrete elevation levels and converting...
These data were compiled from pitfall traps deployed at three sites, along a 25 kilometers (km) stretch of the Colorado River, immediately downstream of Glen Canyon Dam, in Glen Canyon National Recreation Area. Each site had both pre and post-dam riparian habitats present. The purpose of the sampling was to determine if arthropod abundance, diversity and feeding guilds differed between habitats. Sampling for ground-dwelling arthropods using pitfall traps occurred continuously between June 17 and September 9, 2009. The site numbering proceeds from Glen Canyon Dam to Lees Ferry. Transects were composed of 10 pitfall traps approximately 10 meters apart in a line parallel with the river in both zones (Upper riparian...
These data represent the centerline and measured increments at hundredths, tenths and whole miles, along the centerline of the Colorado River beginning at Glen Canyon Dam near Page, Arizona and terminating near the inflow s of Lake Mead in the Grand Canyon region of Arizona, USA. The centerline was digitized using Color Infra-Red (CIR) orthophotography collected in March 2000 as source information and a LiDAR-derived river shoreline representing 8,000 cubic feet per second (CFS)as the defined extent of the river. Every effort was made to follow the main flow of the river while keeping the line approximately equidistant from both shorelines. The centerline feature class has been created to more accurately map locations...
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