Sediment Acoustics Real-Time Continuous Suspended Sediment Data in the Lower Columbia River
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1 Sediment Acoustics Real-Time Continuous Suspended Sediment Data in the Lower Columbia River U.S. Department of the Interior U.S. Geological Survey Paul Diaz Jr Oregon Water Science Center
2 Sediment Acoustics Imagine a real-time acoustic sediment network.. Wood, M.S., 2014, Estimating suspended sediment in rivers using acoustic Doppler meters: U.S. Geological Survey Fact Sheet , 4 p.
3 Why Real-Time SSC Data is Needed Determine sediment loads Determine timing of sediment transport Define seasonal and event transport mechanisms Navigation Habitat restoration Beach restoration Reservoir/bay infilling Water Quality Sediment Effects
4 Sediment Acoustics ADVM s Deployed at Many Sites to Compute Discharge One Instrument, Lots of Uses: Discharge SSC Sediment Flux Velocity Future Applications Limited Instrument Fouling Limited Calibration Drift Large Measurement/Sample Volume Reduced Costs
5 Sediment Acoustics Transmit acoustic energy of known f (frequency) Measure shift in f from return signal to compute velocity Acoustic backscatter intensity is measured for QA purposes. Images from Wood, M.S., Modified from Sontek
6 Acoustic Site Instrumentation Multi-cell configuration needed to compute SAC (sediment attenuation coefficient). Need LOTS of data transmitted to compute real-time 20 SS values } 20 velocity values Every Measurement Interval 15 other SDI-12 not sufficient Serial data Two way data communication. 12 volt DC to DC converters used to keep ADVM power constant.
7 Acoustic Site Instrumentation
8 Surrogate Acoustics Parameter Processing Processing is Done Using SAID (Surrogate Analysis and Index Developer Tool) Acoustic Parameter Processing Raw Measured Acoustic Backscatter needs to be corrected for the effects of: Beam Spreading Water Absorption Normalized Acoustic Parameters SCB (sediment corrected backscatter) SAC (sediment attenuation coefficient) Data Transformations Regression Models
9 Surrogate Acoustic Parameter Processing WCB = MB + 20log 10 (ψr) + 2r(α w ) SCB = WCB + 2rα s SCB = MB + 20log 10 (ψr) + 2r(α w )+ 2rα s Measured Backscatter Beam Spreading Water Absorption Sediment Attenuation α s =SAC 2-Way Transmission Losses
10 Surrogate Acoustic Parameter Processing Signal Strength Cell Data output from SAID model Provisional, subject to revision.
11 Lower Columbia Acoustic Sites
12 Columbia at Vancouver, WA Existing NWS tide gage (I-5 bridge) NSIP funded in 2015 for discharge USACE funding for SSC data. Key point for Lower Columbia River (LCR) SSC budget New station installed on a USCG dolphin January Data collection commenced in winter 2016.
13 Portland, OR Site being relocated in spring/summer 2016 NSIP funded for discharge Key point for LCR SSC budget Ongoing sediment sampling funded by NAWQA.
14 Columbia Beaver Army Terminal nr Quincy, OR Used SAID Model Calibration Data - 55 samples collected from WY Used Multi-linear Regression to predict SSC Predictor Variables Used: SCB (Sediment Corrected Backscatter) Discharge Gage Height Model Results.89 R 2
15 Columbia BAT Model Results Statistics output from SAID model Provisional, subject to revision.
16 Time Series Data (WY 2016) Time Series SSC output from SAID model Provisional, subject to revision.
17 Next Steps Install mechanism to compute real-time SCB from multi-cell backscatter data (Aquarius). Real-Time data on NWIS WEB Continue collecting SSC verification/calibration samples Develop Sediment Acoustic Model for Columbia Vancouver. Add additional sites: LCR sites Existing sites Other
18 Acknowledgements Funding: National Streamflow Information Program (USGS) U.S. Army Corps of Engineers Project Personnel: Krista Jones (USGS Lead Columbia Sediment Technical Work Group) Paul Diaz Jr, Marc Stewart (Columbia River Data) USGS Guidance Personnel: Marc Landers (Federal Interagency Sedimentation Project Chief) Molly Wood - (USGS Office of Surface Water Sediment Lead)
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