Data

Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously...

Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using a suction pump autosampler, equal width increments, or grab sampling techniques (Edwards, 1999). The use of an...

Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using an ISCO automatic sampler (suction pump), equal width increments or grab sampling techniques (Edwards, 1999). The use...

This product includes a model archive using the iRIC-SAC Solver for indirect discharge computation of the spring snowmelt peak flow surveyed on May 27, 2023, and estimated to have occurred in early April 2023. The best-fit discharge for this flood is 3,500 ft3/s. Other data include topographic cross-section data, control points, and high-water marks collected by RTK GPS, and selected...

Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Annual peak flows measured at U.S. Geological Survey streamgages were used to compute at-site flood-frequency estimates at those streamgages in the study area based on...

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

Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: Little Potato Slough at Terminous (U.S. Geological Survey (USGS) site # 11336790). 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...

Model archive summary (MAS), "381410121395801_MIR_ExpandedMAS.docx", describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: Miner Slough near Rio Vista (U.S. Geological Survey (USGS) site # 381410121395801). The SSC time series is computed from instream turbidity data that is managed by the California...

Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: Grant Line Canal Near Tracy, California (U.S. Geological Survey (USGS) site # 11313240). The SSC time series is computed from instream turbidity data that is managed by the California Department of Water Resources (CDWR) using...

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 Snake River at Weiser, ID – USGS site ID# 13269000. The model can be used to develop a time series of suspended sediment concentration based on acoustic backscatter and...

Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P1ZW6XKE. 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...

Model for computing point estimates of continuous 15-minute time-series suspended-sediment concentration data from instream turbidity data. Turbidity data is published in NWIS. Model is based on data from WY2015-2020 and applies beginning Water Year 2018 (1 October 2017).