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Suspended-sediment and sand concentrations, streamflow, acoustic data, linear regression models, and loads for the Lower Minnesota River, 2012-2019

February 4, 2021

A series of linear regression models were developed and calibrated for two Lower Minnesota River sites. The linear regression models were either calibrated using acoustic or streamflow data to estimate suspended-sediment or sand concentration data. Data were collected during calendar years 2012 through 2019. The estimates of suspended-sediment and concentrations from the linear regression were used to calculate loads. The calibrated models were used to improve understanding of sediment and sand transport processes and increase accuracy of estimating sediment and sand concentrations and loads for the Lower Minnesota River, as part of the associated report, U.S. Geological Survey Open File Report 2021?1005 (https://doi.org/10.3133/ofr20211005).

Citation Information

Publication Year 2021
Title Suspended-sediment and sand concentrations, streamflow, acoustic data, linear regression models, and loads for the Lower Minnesota River, 2012-2019
DOI 10.5066/P9AIULOQ
Authors Joel T Groten
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Upper Midwest Water Science Center

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