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Suspended-sediment concentrations, acoustic data, and a linear regression model for the Minnesota River at Mankato, Minnesota, 2016-2019

Summary

Dates

Start Date
2016-03-31
End Date
2019-07-05
Publication Date

Citation

Groten, J.T., 2020, Suspended-sediment concentrations, acoustic data, and a linear regression model for the Minnesota River at Mankato, Minnesota, 2016-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9UXO8ML.

Summary

A simple linear regression model was developed and calibrated for the Minnesota River at Mankato, Minnesota (Site Number: 05325000). The linear regression model was calibrated using acoustic and suspended-sediment concentration data collected from 2016 through 2019.The calibrated model will be used to improve understanding of sediment transport processes and increase accuracy of estimating sediment concentrations and loads for the Minnesota River at Mankato, Minnesota.

Contacts

Attached Files

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README.txt 3.47 KB
1_Input Data.zip 4.09 MB
2_Processing and Model.mat 27.83 MB
3_Model Archive Summary.pdf 416.09 KB
Study Area Map.pdf 8.47 MB

Purpose

The simple linear regression model was created to increase the accuracy of estimating suspended-sediment concentrations and loads at the Minnesota River at Mankato, Minnesota. The development of the model's input files, model, and model archive summary are included in this data release.

Map

Spatial Services

ScienceBase WMS

Communities

  • USGS Data Release Products
  • Upper Midwest Water Science Center

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Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9UXO8ML

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