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.

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).

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).

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.

Regression models were developed for computing the suspended-sediment concentration (SSC) at the U.S. Geological Survey (USGS) streamflow gaging station Waihi Stream at Honolulu, Hawaii (16238500) with the SSC of discrete samples and the continuous measurement of turbidity and recorded discharge at the gage. Sediment samples and turbidity data were collected by the USGS beginning in October 2017. This data release includes: 1) a .csv file with the calibration data used to develop the regression model, and 2) a Model Archive Summary (MAS) in .pdf file format that includes the regression model, model development details and diagnostic information. The calibration data are a subset of the available data and were selected at random for the purpose of reducing potential serial correlation in the regression model. All discrete SSC sample data and continuous turbidity and discharge data at this site are available via the Water Data for the Nation accessed at: https://waterdata.usgs.gov/nwis. The MAS was generated and reviewed technically for quality assurance following USGS National Field Manual technical policy (Anderson, C.W., 2005, Turbidity: U.S. Geological Survey Techniques of Water-Resources Investigations, book 9, chap. A6.7, https://doi.org/10.3133/twri09A6.7). The MAS filename includes the parameters used in the regression model and the start date. Over time, continued data collection at this site for the purpose of validating regression models may result in model updates for this data release. Waihi Stream is a main tributary to Manoa stream and transports watershed-derived sediment to the Ala Wai Canal in Waikiki near Honolulu, Hawaii. The gaging station is in upper Manoa Valley in a light residential/agricultural area and is 6.6 miles upstream of the confluence with Ala Wai Canal. Upstream of the gaging station is predominantly undeveloped tropical rain forest with a few private properties within the Honolulu Watershed conservation area.

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 Columbia River at Vancouver, WA – USGS site ID# 14144700. 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 Columbia River

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 Columbia River at Vancouver, WA – USGS site ID# 14144700. 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 Columbia River

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 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 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 Columbia River at Port Westward site – USGS site ID# 14246900. 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 Columbia River.