Skip to main content

James R. Foreman

thumbnail
Turbidity was continuously monitored at the USGS streamgage Nooksack River at Ferndale (12213100) from October 29, 2011 to September 30, 2017. A DTS-12 turbidity sensor (Forest Technology Systems) at the streamgage measured turbidity at 15-minute intervals. Suspended-sediment samples were collected at the streamgage over a range of discharge and turbidity conditions. Regression equations were developed to estimate the suspended-sediment concentration (SSC) and the concentration of fine suspended-sediment (fSSC; <0.0625 mm) using turbidity as an explanatory variable. A 15-minute time series of SSC, fSSC, and the uncertainty of individual estimates (prediction intervals with 90 percent confidence) was computed and...
thumbnail
Turbidity was continuously monitored at the USGS streamgage Middle Fork Nooksack River near Deming (12208000) from November 2, 2013 to September 30, 2017. A DTS-12 turbidity sensor (Forest Technology Systems) at the streamgage measured turbidity at 15-minute intervals. Suspended-sediment samples were collected at the streamgage over a range of discharge and turbidity conditions. Regression equations were developed to estimate the suspended-sediment concentration (SSC) and the concentration of fine suspended-sediment (fSSC; <0.0625 mm) using turbidity as an explanatory variable. A 15-minute time series of SSC, fSSC, and the uncertainty of individual estimates (prediction intervals with 90 percent confidence) was...
thumbnail
Suspended-sediment samples were collected by NIT and USGS at the USGS streamgage North Fork Nooksack River below Cascade Creek near Glacier (12205000) from June 2015 to October 2016 over a range of discharge and turbidity conditions. Regression equations were developed to estimate the suspended-sediment concentration (SSC) and the concentration of fine suspended-sediment (fSSC; <0.0625 mm) using turbidity as an explanatory variable. An hourly time series of SSC, fSSC, and the uncertainty of individual estimates (prediction intervals with 90 percent confidence) was computed and is provided. A daily time series of suspended-sediment load (SSL) and fine suspended-sediment load (fSSL) derived from hourly SSC and discharge...
thumbnail
Suspended-sediment samples were collected by USGS and NIT at the USGS streamgage South Fork Nooksack River at Saxon Road (12210000) from July 2010 to February 2016 over a range of discharge and turbidity conditions. Regression equations were developed to estimate the suspended-sediment concentration (SSC) and the concentration of fine suspended-sediment (fSSC; <0.0625 mm) using turbidity as an explanatory variable. An hourly time series of SSC, fSSC, and the uncertainty of individual estimates (prediction intervals with 90 percent confidence) was computed and is provided. A daily time series of suspended-sediment load (SSL) and fine suspended-sediment load (fSSL) derived from hourly SSC and discharge data, was computed...
thumbnail
Suspended-sediment samples were collected by USGS and NIT at the USGS streamgage Nooksack River at North Cedarville (12210700) from December 2010 to January 2017 over a range of discharge and turbidity conditions. Regression equations were developed to estimate the suspended-sediment concentration (SSC) and the concentration of fine suspended-sediment (fSSC; <0.0625 mm) using turbidity as an explanatory variable. An hourly time series of SSC, fSSC, and the uncertainty of individual estimates (prediction intervals with 90 percent confidence) was computed and is provided. A daily time series of suspended-sediment load (SSL) and fine suspended-sediment load (fSSL) derived from hourly SSC and discharge data, was computed...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.