Model archive summary for turbidity derived suspended-sediment concentration at USGS station 01351500 Schoharie Creek at Burtonsville, New York
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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).
Model archive summary for turbidity derived suspended-sediment concentration at USGS station 01349527 Mohawk River above State Highway 30A at Fonda, New York
공공데이터포털
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).
Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 385903107210800; Muddy Creek above Paonia Reservoir, Colorado
공공데이터포털
This model archive summary documents the suspended-sediment concentration (SSC) model developed to estimate 15-minute SSC at Muddy Creek above Paonia Reservoir, U.S. Geological Survey (USGS) site number 385903107210800. The methods used follow USGS guidance as referenced in relevant Office of Surface Water Technical Memorandum (TM) 2016.07 and Office of Water Quality TM 2016.10, and USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016). A total of 438 suspended-sediment samples were collected during the calibration period. Forty-one of these samples (22 equal-width-interval [EWI] samples and 19 single-point pump samples) were used in the model calibration dataset. These 41 samples were collected over the range of observed streamflow, Sediment Corrected Backscatter (SCB), and Sediment Attenuation Coefficient (SAC) conditions. Samples used in calibration were plotted on duration curve plots for streamflow from March 2005 to November 2016 (Colorado Division of Water Resources data from 2005 to 2014, and USGS data for 2015–16), and SAC for the period of record. The plots indicate that samples were collected for the observed range of conditions at the site. Suspended-sediment concentrations at this site were computed from a calibrated regression model between SSC and SAC. Streamflow, SCB, dummy variables, and seasonality were also examined as potential variables. An ordinary least squares linear regression model was developed using the ‘stats’ and ‘smwrStats’ packages in R (R Core Team, 2018). Streamflow, SCB, SAC, dummy variable, and seasonality were examined as potential explanatory variables for estimating SSC. A square root transformed SAC was selected as the explanatory variable.
Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 385903107210800; Muddy Creek above Paonia Reservoir, Colorado
공공데이터포털
This model archive summary documents the suspended-sediment concentration (SSC) model developed to estimate 15-minute SSC at Muddy Creek above Paonia Reservoir, U.S. Geological Survey (USGS) site number 385903107210800. The methods used follow USGS guidance as referenced in relevant Office of Surface Water Technical Memorandum (TM) 2016.07 and Office of Water Quality TM 2016.10, and USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016). A total of 438 suspended-sediment samples were collected during the calibration period. Forty-one of these samples (22 equal-width-interval [EWI] samples and 19 single-point pump samples) were used in the model calibration dataset. These 41 samples were collected over the range of observed streamflow, Sediment Corrected Backscatter (SCB), and Sediment Attenuation Coefficient (SAC) conditions. Samples used in calibration were plotted on duration curve plots for streamflow from March 2005 to November 2016 (Colorado Division of Water Resources data from 2005 to 2014, and USGS data for 2015–16), and SAC for the period of record. The plots indicate that samples were collected for the observed range of conditions at the site. Suspended-sediment concentrations at this site were computed from a calibrated regression model between SSC and SAC. Streamflow, SCB, dummy variables, and seasonality were also examined as potential variables. An ordinary least squares linear regression model was developed using the ‘stats’ and ‘smwrStats’ packages in R (R Core Team, 2018). Streamflow, SCB, SAC, dummy variable, and seasonality were examined as potential explanatory variables for estimating SSC. A square root transformed SAC was selected as the explanatory variable.
Model Archive Summary for Suspended-Sediment Concentration at station 11510700, Klamath River below John C. Boyle power plant, near Keno, OR, water years 2019-2023
공공데이터포털
This model archive summary (MAS) and associated model calibration data describes a surrogate model used to compute point location suspended sediment concentrations at USGS streamgage 11510700 for water years 2019-2023. The methods used follow USGS guidance as referenced in Office of Surface Water (OSW)/Office of Water Quality (OWQ) technical memoranda 2016.07 and USGS techniques and methods, book 3-chapter C4 (Rasmussen and others, 2009).