Filters: Tags: Upper Colorado River Basin (X) > Categories: Data (X)
69 results (25ms)|
Filters
|
This data collection consists of a synthetic stream network and associated catchments developed as the foundation for a Spatially Referenced Regressions on Watershed Attributes (SPARROW) dissolved-solids source and transport model for the Upper Colorado River Basin (UCRB). The SPARROW model requires a hydrologically connected representation of a stream network through which loads are transported from an upstream reach to the next reach downstream (Schwarz and others, 2006; Moore and others, 2004). Each stream reach or segment within this synthetic stream network has an associated local drainage area or catchment used to calculate catchment characteristics that may have an effect on loads being modeled. The synthetic...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Catchment,
Colorado,
Dissolved-solids model,
Hydrologic network,
Our objective was to model specific mean daily flow (mean daily flow divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.We used a random forest modeling approach to model the relation between specific mean daily flow on gaged streams (115 gages) and environmental variables. We then projected specific mean...
Our objective was to model specific minimum flow (mean of the annual minimum flows divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between specific minimum flow on gaged streams (115 gages) and environmental variables. We then projected...
This dataset contains the predicted probability of occurrence for modeled distributions of smallmouth bass. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
These data were compiled to study mercury and selenium concentrations in fish species and assemblages in lotic waterbodies across the Upper Colorado River Basin. Data were compiled from State and Federal agencies. This data table contains raw concentration data, as well as standardized concentrations corrected for differences based on sample type (i.e., tissue type), species-specific bioaccumulation rates (Table S1), and fish size (Table S2). The data were used in linear mixed effects models to estimate average mercury and selenium concentration in fish species and in fish assemblages, including fish total length (cm), sampling location (Sub basin name and GPS coordinates), and sampling year (Figures 2,3, and 4...
Our objective was to model the risk of becoming intermittent under drier climate conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a conditional inference modeling approach to model the relation between intermittency status on gaged streams (115 gages) and selected mean and minimum flow metrics. We then projected intermittency status and if a stream...
These data were compiled as part of a long-term (1964 - 2022) water quality monitoring program at Lake Powell. Objectives of our study were to release a consistent record of long-term water quality data. The 58-year limnology dataset captures some water quality parameters (temperature, salinity, major ions, total suspended solids) from reservoir filling to present day. It also contains a 38-year record of secchi depth, and a ~30-year record of nutrients, phytoplankton, and zooplankton assemblages. The data were collected from various sites within the Lake Powell reservoir and the Glen Canyon dam. Regular monthly sampling occurred at three sites near the dam and reservoir-wide sampling was generally conducted quarterly,...
Categories: Data,
Data Release - Revised;
Tags: Arizona,
Aztec Creek,
Bridge Creek,
Cathedral Canyon,
Clear Creek,
This dataset contains the predicted probability of occurrence for modeled distributions of fathead minnow. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of cutthroat trout. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of flannelmouth sucker. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of common carp. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of brown trout. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of longnose sucker. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of mountain sucker. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of humpback chub. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
In the drier, mid- and low-elevation portions of the Southern Rockies LCC, Fremont cottonwood represents the only native vegetation of tall stature, and cottonwood-dominated woodlands provide critical habitat for a large array of neotropical migratory birds and other animals. These woodlands likely dominated alluvial reaches of all streams where a snowmelt-driven spring flood was the major factor driving geomorphic and vegetation dynamics. These woodlands were also among the first habitats to undergo transformation as the regions land and water resources were developed.The PI coauthored a paper (Andersen et al. 2007) on assessing the amount of native Fremont cottonwood forest remaining on floodplains in 26 subbasins...
Categories: Data,
Project;
Types: GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: AZ-01,
AZ-04,
Applications and Tools,
Arizona,
CO-02,
This dataset contains the predicted probability of occurrence for modeled distributions of sand shiner. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of striped bass. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of western mosquitofish. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
These datasets provide information about the study area such as climate and geography, as well as interbasin transfers, and estimates of water use trends in the Colorado River Basin 1985–2010 (https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf).
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: colorado river water provider,
upper colorado river basin,
upper colorado river basin federal lands and bia lands,
upper colorado river basin federal lands native american reservations,
upper colorado river basin interbasin transfers huc4,
|
|
