Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11336680; South Mokelumne River at New Hope Bridge near Walnut Grove, California (2011 - 2015)

공공데이터포털

Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: South Mokelumne River at New Hope Bridge near Walnut Grove, California, U.S. Geological Survey (USGS) station number 11336680. The SSC time series is computed from instream turbidity data that is managed by the USGS using a YSI 6-series multi-parameter water quality sonde.

Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11336685; North Mokelumne River near Walnut Grove, California (2011 - 2015)

공공데이터포털

Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: North Mokelumne River near Walnut Grove, California (NMR), U.S. Geological Survey (USGS) station number 11336685. The SSC time series is computed from instream turbidity data that is managed by the USGS using a YSI 6-series multi-parameter water quality sonde.

Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11336685; North Mokelumne River near Walnut Grove, California (2011 - 2015)

공공데이터포털

Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: North Mokelumne River near Walnut Grove, California (NMR), U.S. Geological Survey (USGS) station number 11336685. The SSC time series is computed from instream turbidity data that is managed by the USGS using a YSI 6-series multi-parameter water quality sonde.

Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS Station 11336930 Mokelumne River at Andrus Island near Terminous, Ca (2010 - 2016)

공공데이터포털

Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the Mokulemne River at Andrus Island near Terminous, CA (USGS site # 11336930). The SSC time series is computed from instream turbidity data that is managed by the California Department of Water Resources (CDWR) using a YSI 6-series multi-parameter water quality sonde.

Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS Station 11336930 Mokelumne River at Andrus Island near Terminous, Ca (2010 - 2016)

공공데이터포털

Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the Mokulemne River at Andrus Island near Terminous, CA (USGS site # 11336930). The SSC time series is computed from instream turbidity data that is managed by the California Department of Water Resources (CDWR) using a YSI 6-series multi-parameter water quality sonde.

Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at 11447903 Georgiana Slough Near Sacramento River, California (2015-2021)

공공데이터포털

This Model Archive Summary (MAS) describes the development of a turbidity derived suspended-sediment concentration (SSC) time-series computation model. The MAS includes all the methods and techniques used to develop the model for USGS stations 11447903 Georgiana Slough Near Sacramento River, Ca. The time-series suspended-sediment concentration data are representative of the cross section and are adequate to compute suspended-sediment flux, to help managers and others to track the movement of sediment in the Sacramento-San-Joaquin Delta and to better understand habitat dynamics.

Model Archive Summary and Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS station 11337080 Threemile Slough near Rio Vista, CA (2015-2019)

공공데이터포털

Continuous 15-minute time-series suspended-sediment concentration data computed from instream turbidity data. Turbidity data is managed by California Department of Water Resources (CDWR) using a YSI EXO multi-parameter water quality sonde.

Model Archive Summary and Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS station 11337080 Threemile Slough near Rio Vista, CA (2015-2019)

공공데이터포털

Continuous 15-minute time-series suspended-sediment concentration data computed from instream turbidity data. Turbidity data is managed by California Department of Water Resources (CDWR) using a YSI EXO multi-parameter water quality sonde.

Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at U.S. Geological Survey Station 11455335; Sacramento River Deep Water Ship Channel near Rio Vista, California (2015 - 2021)

공공데이터포털

This model archive summary (MAS) describes the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the station: Sacramento River Deep Water Ship Channel near Rio Vista, California, U.S. Geological Survey (USGS) station number 11455335. The SSC time series is computed from instream turbidity data that is managed by the USGS using a YSI EXO multi-parameter water quality sonde. This is the second SSC model created for the station.

Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at U.S. Geological Survey Station 11455335; Sacramento River Deep Water Ship Channel near Rio Vista, California (2015 - 2021)

공공데이터포털

This model archive summary (MAS) describes the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the station: Sacramento River Deep Water Ship Channel near Rio Vista, California, U.S. Geological Survey (USGS) station number 11455335. The SSC time series is computed from instream turbidity data that is managed by the USGS using a YSI EXO multi-parameter water quality sonde. This is the second SSC model created for the station.