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These data were compiled to provide a resource for other researchers interested in water-surface elevations and flow velocity across a wide range of discharge in the study reach for the project. Objective(s) of our study were to construct a two-dimensional hydrodynamic model for the 15.8 mile tailwater reach of the Colorado River in Glen Canyon between Glen Canyon Dam and Lees Ferry, Arizona. These data represent the results of the two-dimensional modeling effort with each data table (50) including the results of each run of the model. Additionally, other data represent a comparison of modeled water surface elevations to measured water surface elevations for historic Bureau of Reclamation cross sections in the study...
These data represent total vegetation and surface water along approximately 12 kilometers of the Paria River upstream from the confluence of the Colorado River at Lees Ferry, Arizona. They are derived from airborne, multispectral imagery obtained in late May 2009, 2013, and 2021, collected with a push-broom sensor with 4 spectral bands depicting Blue, Green, Red and Near-Infrared wavelengths at a spatial resolution of 20 centimeters. The vegetation classification data were created using a supervised classification algorithm provided by Harris Geospatial in ENVI version 5.6.3 (Exelis Visual Information Solutions, Boulder, Colorado). The water data were created using a Green Normalized Difference Vegetation Index...
These data were compiled to create models that estimate entrainment rates and population growth rates of smallmouth bass below Glen Canyon Dam. Objective(s) of our study were to predict smallmouth bass entrainment rates and population growth under different future scenarios of Lake Powell elevations and management. These data represent parameters needed for associated models and data needed to produce figures. These data were collected from publicly available online sources including published papers and federal government datasets. These data were assembled by researchers from U.S. Geological Survey, Utah State University, Colorado State University, U.S. Fish and Wildlife Service. These data can be used to run...
These data were compiled for/to modeling efforts for U.S. Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to create revised monthly Lake Powell elevations and outflows from Bureau of Reclamation Colorado River Mid-term Modeling System (CRMMS) traces that incorporate the alternatives in the sEIS documents and indicate when potential actions may occur and how that changes water movement and storage. These data represent monthly hydrologies for Lake Powell: inflow, outflow, and elevation forecasts for 2024-2027, as well as volumes of water in outflows for different water mangement strategies in NEPA supplemental...
These data were compiled to perform analyses of hydrologic change, changes in sediment transport, and channel change within Moenkopi Wash, Arizona. Objective(s) of our study were to quantify the magnitude and timing of changes in hydrology, sediment transport, and channel form within Moenkopi Wash and to determine the downstream effects of those changes on sediment delivery downstream to the Little Colorado River, and the Colorado River. These data represent instantaneous discharge records, suspended-sediment sample records, topographic survey data, historical aerial imagery, and channel polygons and centerlines mapped on the historical imagery. Instantaneous discharge records in this study began in 1926 and extend...
These data were compiled for modeling efforts of Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to forecast water temperature, smallmouth bass population growth rate, and smallmouth bass entrainment rates under different water management scenarios. These data represent forecasted smallmouth bass entrainment rates and smallmouth bass population growth rates. Data were collected in 2023 and 2024 by the Bureau of Reclamation CRMMS and then used by the U.S. Geological Survey-Southwest Biological Science Center-Grand Canyon Monitoring & Research Center in the modeling process. These data can be used to evaluate different...
These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under different future Interim Guidelines sEIS and LTEMP sEIS alternatives. These data include monthly impacts in nominal 2022 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 Center using mathematical modeling methods.
These data were compiled to assess potential impacts of altered operations of Glen Canyon Dam on riparian plant resources. Objective(s) of our study were to quantify potential responses of specific vegetation metrics. These data represent predicted changes in vegetation metrics based on the data in the Interim Guidelines and LTEMP_SEIS folders. These data were collected in Grand Canyon and Glen Canyon below the dam from 2014-2019. These data were collected by USGS SBSC scientists through ground-based vegetation surveys. These data can be used to predict responses of vegetation metrics only to the specific alterations to dam operations that were simulated.
Yes, all data values are reasonable and within the valid range for measurement. The data release consists of 15 tabular data files (csv). These data were compiled to compare patterns and potential drivers of leaf litter decomposition in the Colorado River downstream of Glen Canyon Dam between 1998 and 2022. Objective(s) of our study were to compare the breakdown of cottonwood (Populus fremontii), willow (Salix exigua), and salt cedar (Tamarix chinensis) leaves to a previous decomposition experiment from 1998 (Pomeroy et al. 2000) that was conducted in the context of much cooler water temperatures, higher phosphorus concentrations, lower New Zealand mudsnail densities, and salt cedar litter that was unaffected by...
These data were compiled to monitor native fishes (particularly humpback chub Gila cypha) in the Little Colorado River, in the Grand Canyon, AZ. Objective(s) of our study were to evaluate the timing of native fish migration and the abundance of migratory and resident fishes between the Colorado and Little Colorado Rivers in the Grand Canyon. These data represent encounter histories for fishes - including array detections and physical captures. These data were collected in the lower 13.56 river kilometers of the Little Colorado River in April and May of 2021 and 2022. These data were collected by U.S. Fish and Wildlife Service (physical captures) and U.S. Geological Survey (array detections). These data can be used...
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...
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 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 identify potential contributions of drought and inundation tolerance to vegetation composition along the Colorado River. Objective(s) of our study were to quantify physiological and growth responses of different plant species to drought and inundation. These data represent measurements taken on container plants in a greenhouse, and hydrological niche values based on field monitoring data that are published elsewhere. These data were collected in summer of 2022 at the Northern Arizona University Research Greenhouse Complex. These data were collected by Northern Arizona University and U.S. Geological Survey scientists in a greenhouse and laboratory setting. These data can be used to assess...
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