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Supplementary data used to evaluate methods for computing annual water-quality loads, 1948-2016

Dates

Publication Date
Start Date
1948-10-01
End Date
2016-09-30

Citation

Lee, C.J., 2019, Supplementary data used to evaluate methods for computing annual water-quality loads, 1948-2016: U.S. Geological Survey data release, https://doi.org/10.5066/P9BK91LN.

Summary

This dataset is the basis for the U.S. Geological Survey Scientific Investigations Report "An evaluation of methods for computing annual water quality loads", which utilized available data from Heidelberg University and the U.S. Geological Survey to evaluate the accuracy of various methods for computing annual water-quality loads. This dataset contains two files used in the report: "QW_FLOW.csv", which contains the water-quality sample and streamflow data used to develop water-quality load estimates, and "QW_LOAD.csv", which contains observed and estimated annual loads.

Contacts

Point of Contact :
Casey Lee, USGS
Originator :
Casey Lee
Metadata Contact :
Casey Lee, USGS
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Water Resources
SDC Data Owner :
Office of Planning and Programming

Attached Files

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

QW_FLOW_v2.csv
“Water-quality sample and streamflow data”
408.14 MB text/csv
QW_LOAD_v2.csv
“Observed and estimated annual loads”
80.54 MB text/csv

Purpose

Knowledge of the mass, or load, of water quality constituents transported by streams and rivers is necessary to assess the health of receiving waters and to characterize contributions from upstream landscapes. The purpose of this publication is to evaluate methods for computing water-quality loads at an annual time step, specifically with respect to applications within the U.S. Geological Survey (USGS) National Water Quality Project’s (NWQP) National Water Quality Network (NWQN). Results can help practitioners inside and outside the USGS determine when, and to what degree, various sampling procedures and load estimation methods are likely to produce unbiased estimates of water-quality loads at an annual time step.

Map

Communities

  • National Water-Quality Assessment Project
  • USGS Data Release Products

Tags

Provenance

Data source
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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9BK91LN

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