A series of linear regression models were developed and calibrated for the Minnesota and Mississippi Rivers. The linear regression models were calibrated using acoustic and suspended-sediment concentration data collected from March through November 2016 and 2017. The estimates of suspended-sediment concentrations from the linear regression were used to calculate loads. The calibrated models were used to improve understanding of sediment transport processes and increase accuracy of estimating sediment concentrations and loads for the Lower Minnesota River, the Mississippi River, and Lake Pepin, as part of the associated report, U.S. Geological Survey Scientific Investigations Report NEED NUMBER
Citation Information
| Publication Year | 2018 |
|---|---|
| Title | Suspended-sediment concentrations, acoustic data, and linear regression models for the Lower Minnesota River, Mississippi River, and Lake Pepin, 2015-2017 |
| DOI | 10.5066/F7542MXV |
| Authors | Erin N. Coenen, Joel T. Groten, Jeffrey R Ziegeweid, William J. Lund, Erich W. Kessler, Christopher A. Ellison |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Upper Midwest Water Science Center |
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