Publication Date:
2016-04-02
Description:
We examine broadband (5–480 Hz) seismic data from the Erlenbach stream in the Swiss Prealps, where discharge, precipitation, and bedload transport are independently constrained. A linear inversion of seismic spectra, exploiting isolated discharge or rain events, identifies the signals generated by water turbulence and rainfall. This allows us to remove the contributions of turbulence and rainfall from the seismic spectra, isolating the signal of bedload transport. We calibrate the regression for bedload transport during one storm, then use this regression with precipitation and discharge data to calculate bedload transport rates from two months of seismic spectra. Our predicted bedload transport rates correlate reasonably well with transport rates from calibrated geophones embedded in the channel (r2~0.6, p〈10-10). We find that the seismic response to rainfall is broadband (~16 - 480 Hz), while water turbulence and sediment transport exhibit seismic power primarily in lower frequencies (〈100 Hz), likely due to longer attenuation path lengths. We use the varying attenuation at each seismometer to infer that a downstream waterfall is the primary source of the water turbulence signal. Our results indicate that deconstruction of seismic spectra from rivers can provide insight into the component signals generated by water turbulence, rainfall, and sediment transport. Further, the regression of seismic spectra with precipitation, discharge and bedload transport data for a single calibration period enables the estimation of transport for subsequent periods with only precipitation, discharge and seismic data. Hence, in combination with precipitation and discharge data, seismic data can be used to monitor bedload sediment transport.
Print ISSN:
0148-0227
Topics:
Geosciences
,
Physics
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