Skip to main content

Daily streamflow datasets used to analyze trends in streamflow at sites also analyzed for trends in water quality and ecological condition in the Nation's rivers and streams (input)

Dates

Publication Date
Start Date
1965
End Date
2013

Citation

Farmer, W.H., Murphy, J.C., Riskin, M.L., Ryberg, K.R., and Zuellig, R.E., 2017, Daily streamflow datasets used to analyze trends in streamflow at sites also analyzed for trends in water quality and ecological condition in the Nation's rivers and streams (ver. 2.0, November 2017): U.S. Geological Survey data release, http://www.dx.doi.org/10.5066/F7D798JN.

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 of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted 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 conditions. Data from these multiple sources have been combined to support one of the most comprehensive [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

calibPeriods.csv
“calibPeriods.csv ”
472.03 KB text/csv
1.05 GB text/csv

Purpose

This dataset contains daily streamflow input data for all sites included in separate analyses of trends in water quality and ecological condition. These streamflow data are used to quantify and identify trends or change points in annual mean streamflow, annual maximum streamflow, and annual minimum seven-day mean streamflow.

Map

Communities

  • National Water-Quality Assessment Project

Tags

Provenance

Data source
Input directly

Item Actions

View Item as ...

Save Item as ...

View Item...