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Suspended-sediment concentrations, acoustic data, and linear regression models for the Lower Minnesota River, Mississippi River, and Lake Pepin, 2015-2017
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 simple 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.
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Suspended-sediment concentrations, acoustic data, and linear regression models for the Lower Minnesota River, Mississippi River, and Lake Pepin, 2015-2017
공공데이터포털
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 simple 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.
Suspended-sediment concentrations, acoustic data, and a linear regression model for the Minnesota River at Mankato, Minnesota, 2016-2019
공공데이터포털
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.
Suspended-sediment concentrations, acoustic data, and a linear regression model for the Minnesota River at Mankato, Minnesota, 2016-2019
공공데이터포털
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.
Suspended-sediment and sand concentrations, streamflow, acoustic data, linear regression models, and loads for the Lower Minnesota River, 2012-2019
공공데이터포털
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).
Suspended-sediment and sand concentrations, streamflow, acoustic data, linear regression models, and loads for the Lower Minnesota River, 2012-2019
공공데이터포털
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).
Model Archive Summary for acoustic derived suspended-sediment concentration at 14211720 Willamette River at Portland, OR (ver. 2.0, May 2025)
공공데이터포털
Model archive summary describing the development of an acoustic derived suspended sediment time series computation model. The model archive summary describes the methods and techniques used to develop the model for the Willamette River at Portland site – USGS site ID# 14211720. The time series suspended sediment data will help determine the suspended sediment concentration at the site in real-time enabling science entities, managers, and others, track the movement of sediment in the Lower Columbia River System.
Model Archive Summary for acoustic derived suspended-sediment concentration at 14211720 Willamette River at Portland, OR (ver. 2.0, May 2025)
공공데이터포털
This model archive summary describes techniques and methods used to derive and compute a second version of a suspended-sediment model at USGS site14211720, Willamette River at Portland. The created suspended-sediment concentration equations will be used to create real-time estimates of concentration and load which are available through the National Water Information System. The time series data will help science entities, managers, and others, monitor sediment transport in the Lower Columbia River system.
Model Archive Summary for acoustic derived suspended-sediment concentration at 14211720 Willamette River at Portland, OR
공공데이터포털
Model archive summary describing the development of an acoustic derived suspended sediment time series computation model. The model archive summary describes the methods and techniques used to develop the model for the Willamette River at Portland site – USGS site ID# 14211720. The time series suspended sediment data will help determine the suspended sediment concentration at the site in real-time enabling science entities, managers, and others, track the movement of sediment in the Lower Columbia River System.
Model Archive Summary for acoustic derived suspended-sediment concentration at 14211720 Willamette River at Portland, OR
공공데이터포털
Model archive summary describing the development of an acoustic derived suspended sediment time series computation model. The model archive summary describes the methods and techniques used to develop the model for the Willamette River at Portland site – USGS site ID# 14211720. The time series suspended sediment data will help determine the suspended sediment concentration at the site in real-time enabling science entities, managers, and others, track the movement of sediment in the Lower Columbia River System.
Model Archive Summary for acoustic derived suspended-fines concentration at 14211720 Willamette River at Portland, OR
공공데이터포털
This model archive summary describes the development and methods used to derive and compute a suspended-fines (< 0.0625 mm particle size) model at USGS site ID# 14211720, Willamette River at Portland. The suspended-fines equations will be used to create real-time estimates of concentration and load that will help science entities, managers, and others, monitor sediment transport in the Lower Columbia River system.