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Water-quality and streamflow datasets used in Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2017 (input data)

Dates

Publication Date
Start Date
1972-10-01
End Date
2017-09-30

Citation

Murphy, J.C., Oelsner, G.P., Riskin, M.L., Wieben, C.M., Falcone, J.A., Marti, M.K., Follette, D.D., and Perkins, M.K., 2021, Water-quality and streamflow datasets used in Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9EZZ17E.

Summary

In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project. One of the major goals of the NAWQA project was to determine how river water quality has changed over time. To support that goal, long-term consistent and comparable monitoring has been conducted by the USGS on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water quality. In 2017, data from these multiple sources were combined to support one of the most comprehensive assessments to date of [...]

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Attached Files

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yetiRun_20210219new_data.zip 3.04 MB application/zip
yetiRun_20210219rerun_data.zip 25.03 MB application/zip
yetiRun_20201113ran_data.zip 154.14 MB application/zip

Purpose

Input data used to calibrate the Weighted Regressions on Time, Discharge, and Season (WRTDS) trend models.

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