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Methods for computing water-quality loads at sites in the
U.S. Geological Survey National Water Quality Network

Open-File Report 2017-1120

By:
, , ORCID iD , and ORCID iD
https://doi.org/10.3133/ofr20171120

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Abstract

The U.S. Geological Survey publishes information on concentrations and loads of water-quality constituents at 111 sites across the United States as part of the U.S. Geological Survey National Water Quality Network (NWQN). This report details historical and updated methods for computing water-quality loads at NWQN sites. The primary updates to historical load estimation methods include (1) an adaptation to methods for computing loads to the Gulf of Mexico; (2) the inclusion of loads computed using the Weighted Regressions on Time, Discharge, and Season (WRTDS) method; and (3) the inclusion of loads computed using continuous water-quality data. Loads computed using WRTDS and continuous water-quality data are provided along with those computed using historical methods. Various aspects of method updates are evaluated in this report to help users of water-quality loading data determine which estimation methods best suit their particular application.

Suggested Citation

Lee, C.J., Murphy, J.C., Crawford, C.G., and Deacon, J.R, 2017, Methods for computing water-quality loads at sites in the U.S. Geological Survey National Water Quality Network: U.S. Geological Survey Open-File Report 2017–1120, 20 p., https://doi.org/10.3133/ofr20171120.

ISSN: 2331-1258 (online)

Table of Contents

  • Foreword
  • Abstract
  • Introduction
  • The U.S. Geological Survey National Water Quality Network
  • National Water Quality Network Load Estimation Methods
  • Data Publication
  • Summary
  • References Cited

Additional publication details

Publication type:
Report
Publication Subtype:
USGS Numbered Series
Title:
Methods for computing water-quality loads at sites in the U.S. Geological Survey National Water Quality Network
Series title:
Open-File Report
Series number:
2017-1120
DOI:
10.3133/ofr20171120
Year Published:
2017
Language:
English
Publisher:
U.S. Geological Survey
Publisher location:
Reston, VA
Contributing office(s):
Kansas Water Science Center
Description:
vii, 20 p.
Online Only (Y/N):
Y