These model archive summaries document surrogate regression models developed to estimate suspended-sediment concentration (SSC) at three USGS streamgages in New York: Mohawk River above State Highway 30A at Fonda, USGS site number 01349527; Schoharie Creek at Burtonsville, USGS site number 01351500; and Mohawk River at Cohoes, USGS site number 01357500. Ordinary least squares regression equations were developed between suspended-sediment concentration and turbidity using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015) and methods described in Rasmussen and others (2009). Model summaries were developed following guidance in USGS Office of Surface Water Technical Memorandum (TM) 2016.07, Office of Water Quality TM 2016.10.

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River above State Highway 30A at Fonda, New York. (U.S. Geological Survey station number 01349527). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Thirty-nine concurrent measurements of SSC and turbidity, collected from June 12, 2015, through May 28, 2020, were used in the model calibration dataset. Samples were collected across 94 percent of the range in observed discharge and 24 percent of the range in observed turbidity during the model calibration period. The greatest sampled discharges and turbidities during the model calibration period were exceeded less than 0.1 percent and 0.2 percent of the time, respectively. Suspended-sediment concentrations were estimated from an ordinary least squares regression between SSC and turbidity developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River above State Highway 30A at Fonda, New York. (U.S. Geological Survey station number 01349527). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Thirty-nine concurrent measurements of SSC and turbidity, collected from June 12, 2015, through May 28, 2020, were used in the model calibration dataset. Samples were collected across 94 percent of the range in observed discharge and 24 percent of the range in observed turbidity during the model calibration period. The greatest sampled discharges and turbidities during the model calibration period were exceeded less than 0.1 percent and 0.2 percent of the time, respectively. Suspended-sediment concentrations were estimated from an ordinary least squares regression between SSC and turbidity developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River at Cohoes, New York (U.S. Geological Survey station number 01357500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). The model is composed of two ordinary least squares linear regression equations covering low and high turbidity. The low turbidity equation is based on forty-one concurrent measurements of SSC and turbidity collected from October 1, 2016, through August 28, 2020; the high turbidity equaiton is based on thirty-six concurrent measurements collected over the same period. Samples were collected across 90 percent of the range of observed discharge and turbidity. The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively. Both models were developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River at Cohoes, New York (U.S. Geological Survey station number 01357500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). The model is composed of two ordinary least squares linear regression equations covering low and high turbidity. The low turbidity equation is based on forty-one concurrent measurements of SSC and turbidity collected from October 1, 2016, through August 28, 2020; the high turbidity equaiton is based on thirty-six concurrent measurements collected over the same period. Samples were collected across 90 percent of the range of observed discharge and turbidity. The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively. Both models were developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River at Cohoes, New York (U.S. Geological Survey station number 01357500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). The model is composed of two ordinary least squares linear regression equations covering low and high turbidity. The low turbidity equation is based on forty-one concurrent measurements of SSC and turbidity collected from October 1, 2016, through August 28, 2020; the high turbidity equaiton is based on thirty-six concurrent measurements collected over the same period. Samples were collected across 90 percent of the range of observed discharge and turbidity. The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively. Both models were developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Schoharie Creek at Burtonsville, New York (U.S. Geological Survey station number 01351500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Sixty-one concurrent measurements of SSC and turbidity, collected from October 1, 2015, through May 2, 2020, were used in the model calibration dataset. Samples were collected across 75 percent of the range in observed discharge and 87 percent of the range in observed turbidity during the model calibration period. The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively. Suspended-sediment concentrations were estimated from an ordinary least squares regression between SSC and turbidity developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Schoharie Creek at Burtonsville, New York (U.S. Geological Survey station number 01351500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Sixty-one concurrent measurements of SSC and turbidity, collected from October 1, 2015, through May 2, 2020, were used in the model calibration dataset. Samples were collected across 75 percent of the range in observed discharge and 87 percent of the range in observed turbidity during the model calibration period. The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively. Suspended-sediment concentrations were estimated from an ordinary least squares regression between SSC and turbidity developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Schoharie Creek at Burtonsville, New York (U.S. Geological Survey station number 01351500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Sixty-one concurrent measurements of SSC and turbidity, collected from October 1, 2015, through May 2, 2020, were used in the model calibration dataset. Samples were collected across 75 percent of the range in observed discharge and 87 percent of the range in observed turbidity during the model calibration period. The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively. Suspended-sediment concentrations were estimated from an ordinary least squares regression between SSC and turbidity developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

This document describes a new equation for estimating suspended-sediment concentration (SSC) at a fixed point from turbidity values at continuous 15-minute intervals and daily suspended sediment load at USGS site Breitenbush River above French Creek near Detroit, Oregon. The methods described follow USGS guidance as referenced in USGS Techniques and Methods, Book 3, Chap. C2 (Edwards and Glysson, 1999); Office of Surface Water Technical Memorandum (TM) 2016.07 (USGS, 2016); Office of Water Quality TM 2016.10; USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016); and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009).