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Person

Cory A Williams

Supervisory Hydrologist

Email: cawillia@usgs.gov
Office Phone: 970-628-7162
Fax: 970-245-1026
ORCID: 0000-0003-1461-7848

Location
445 W. Gunnison Ave.
Suite 130
Grand Junction , CO 81501-5720
US
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This data release includes geochemical and fallout radionuclide data for suspended sediments and potential sediment source types for the Loutsenhizer Arroyo and Sunflower Drain watersheds in western Colorado. Suspended sediments were collected by passive samplers deployed in the stream channel of the watershed outlets during four study periods between August 2018 and August 2019. Potential sediment source type samples were collected in the watersheds in duplicate using compositing techniques that targeted the top 5 centimeters of soil. The four potential sediment source-types were: agricultural fields, rangeland, arroyo walls, and streambanks. Source type samples were wet sieved to less than (<) 63 microns (µm)...
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This data set contains cross-section geometry and sediment-size distribution data collected in the fall of 2016 from Muddy Creek and North Fork Gunnison River below Paonia Reservoir, Colorado. Six cross-sections were surveyed using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) methods to document channel geometry below the reservoir in 2015. Those same cross-sections were re-surveyed using the same methods in 2016 to document any changes. One cross-section was surveyed on Muddy Creek below Paonia Reservoir, and five cross-sections were surveyed from North Fork Gunnison River below Paonia Reservoir. All six cross-sections are incorporated in this data release within one shapefile. Pebble-counts...
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Mitigating the effects of salinity (total dissolved solids) and selenium on water quality in the lower Gunnison River Basin (LGRB) of western Colorado is a major concern for land managers. In cooperation with the Bureau of Reclamation, the U.S. Geological Survey completed a study to develop multiple linear regression models to estimate salinity and selenium loads. The objective of the study was to refine existing models by improving the regressions and using additional geospatial and water-quality data. This data release presents the basin characteristics and loads used to calibrate the models. Also provided are salinity and selenium yield rasters determined by empirical Bayesian kriging of loads estimated by the...
SedReview is a discrete sediment data review tool which facilitates rapid review of sediment sample data and checks for compliance with many data collection and data storage “best practices” and policies. The tool was written in the R programming language but has a stand-alone Shiny application/executable that opens a graphical user interface (GUI) within an internet browser. Use of the stand-alone executable does not require experience with the R programming language. SedReview is built on the same platform as WQReview, the discrete water quality data review tool announced in WaQI Note 2016.01. SedReview was developed by Colin Penn (COWSC), Cory Williams (COWSC), and Molly Wood (OSD HNB). For more information,...
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