Idaho 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 Idaho 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 It lists current models, as well as historic models that became outdated, or expressed computations in terms of non-continuous variables.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 Idaho 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 Idaho Regression Models
- Etheridge, A.B., 2015, Occurrence and transport of selected constituents in streams near the Stibnite mining area, central Idaho, 2012–14: U.S. Geological Survey Scientific Investigations Report 2015–5166, 47 p.
- Wood, M.S., and Teasdale, G.N., 2013, Use of Surrogate Technologies to Estimate Suspended Sediment in the Clearwater River, Idaho, and Snake River, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5052, 30 p.
- Wood, M.S., and Etheridge, A.B., 2011, Water-quality conditions near the confluence of the Snake and Boise Rivers, Canyon County, Idaho: U.S. Geological Survey Scientific Investigations Report 2011–5217, 70 p.