Documentation of linear regression models for computing water-quality constituent concentrations using continuous real-time water-quality data for the North Fork Ninnescah River and Cheney Reservoir, Kansas, 2014–21

Kramer, Ariele R.; Puls, Kyle A.

doi:10.3133/sir20235037

Scientific Investigations Report

2023

DOI: 10.3133/sir20235037

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Documentation of linear regression models for computing water-quality constituent concentrations using continuous real-time water-quality data for the North Fork Ninnescah River and Cheney Reservoir, Kansas, 2014–21

Ariele R. Kramer¹,

Kyle A. Puls²

Abstract: For an overview of USGS information products, including maps, imagery, and publications, visit https://store.usgs.gov/.

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2024

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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

Stone,

Lee,

Rasmussen

et al. 2024

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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

Stone,

Lee,

Rasmussen

et al. 2024

Open-File Report

View full text Add to dashboard Cite

show abstract

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Documentation of linear regression models for computing water-quality constituent concentrations using continuous real-time water-quality data for the North Fork Ninnescah River and Cheney Reservoir, Kansas, 2014–21

Abstract: For an overview of USGS information products, including maps, imagery, and publications, visit https://store.usgs.gov/.

Cited by 1 publication

References 35 publications

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

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

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