Wisconsin Real-Time Water Quality Regression Models
Many USGS stations on this website report not only continuous water-quality data that are directly measured in the stream such as temperature, specific conductance, and turbidity, but also continuous computed data such as total nitrogen and suspended-sediment concentration. The latter are computed using empirically derived site-specific regression models, which are created using established methods. The regression models have undergone a complete peer-review process, and are published and available on the web through this web page and selected interpretive reports.
A complete history of all Wisconsin regression models is available as a Microsoft Excel spreadsheet. It lists current models, as well as historic models that became outdated, or expressed computations in terms of non-continuous variables. Except for this spreadsheet, only the most current (active) models are shown on this website.
Current Regression Models
Current regression models used to compute continuous Wisconsin water-quality data can be viewed four ways:
- Sorted by publication source.
- As a summary Microsoft Excel spreadsheet.
- When exploring a computed constituent (under View Data), click Model Info to see the model used to computed those data (see figure).
- The original published sources of models; links are available throughout this website, including the next section of this page.
Published Sources for Current Wisconsin Regression Models
- Baldwin, A.K., Graczyk, D.J., Robertson, D.M., Saad, D.A., and Magruder, Christopher, 2012, Use of real-time monitoring to predict concentrations of select constituents in the Menomonee River drainage basin, Southeast Wisconsin, 2008–9: U.S. Geological Survey Scientific Investigations Report 2012–5064, 18 p., plus six appendixes.
- Baldwin, A.K., Robertson, D.M., Saad, D.A., and Magruder, Christopher, 2013, Refinement of regression models to estimate real-time concentrations of contaminants in the Menomonee River drainage basin, southeast Wisconsin, 2008–11: U.S. Geological Survey Scientific Investigations Report 2013-5174, 113 p., seven appendixes