North Dakota 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 North Dakota 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 It lists current models, as well as historic models that became outdated, or expressed computations in terms of non-continuous variables.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 North Dakota 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 North Dakota Regression Models
- Galloway, J., 2014, Continuous Water-Quality Monitoring and Regression Analysis to Estimate Constituent Concentrations and Loads in the Red River of the North at Fargo and Grand Forks, North Dakota, 2003–12: U.S. Geological Survey Scientific Investigations Report 2014–5064, 37 p.