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Methods for computing water-quality concentrations and loads at sites operated by the U.S. Geological Survey Kansas Water Science Center

August 1, 2024

The U.S. Geological Survey (USGS) Kansas Water Science Center (KSWSC) has published time-series computations of water-quality concentrations and loads based on in situ sensor data since 1995. Water-quality constituent concentrations or densities are computed using regression models that relate in situ sensor values to laboratory analyses of periodically collected samples. These regression models currently (2024) follow no uniform published guidance and are individually documented through USGS reports. This report describes updated (2024) procedures designed to improve the consistency, quality, and timeliness of computed continuous water-quality data produced by the USGS KSWSC. Beginning in 2024, models developed by the USGS KSWSC that follow specific procedures and requirements related to sample collection, model fit, and model documentation outlined in this report are planned to be published and stored in the USGS National Real-Time Water Quality Data for the Nation Data Service. This report also describes USGS KSWSC procedures for evaluating and publishing time-series water-quality computations after initial model development and documentation. This guidance can be used to improve USGS KSWSC model development and data computation consistency and streamline the time-series water-quality computation process from model development to publication.

Publication Year 2024
Title Methods for computing water-quality concentrations and loads at sites operated by the U.S. Geological Survey Kansas Water Science Center
DOI 10.3133/ofr20241049
Authors Mandy L. Stone, Casey J. Lee, Teresa J. Rasmussen, Thomas J. Williams, Ariele R. Kramer, Brian J. Klager
Publication Type Report
Publication Subtype USGS Numbered Series
Series Title Open-File Report
Series Number 2024-1049
Index ID ofr20241049
Record Source USGS Publications Warehouse
USGS Organization Kansas Water Science Center