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  Grain‐size distribution and propagation effects on seismic signals generated by bedload transport

Sophie, L., Dietze, M., Gimbert, F., Laronne, J. B., Turowski, J., Halfi, E. (2021): Grain‐size distribution and propagation effects on seismic signals generated by bedload transport. - Water Resources Research, 57, 4, e2020WR028700.
https://doi.org/10.1029/2020WR028700

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5006275 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5006275_4
Genre: Journal Article

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 Creators:
Sophie, Lagarde1, Author              
Dietze, Michael1, Author              
Gimbert, Florent1, Author              
Laronne, Jonathan B.2, Author
Turowski, J.1, Author              
Halfi, Eran2, Author
Affiliations:
14.6 Geomorphology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146045              
2External Organizations, ou_persistent22              

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 Abstract: Bedload transport is a key process in fluvial morphodynamics, but difficult to measure. The advent of seismic monitoring techniques has provided an alternative to in‐stream monitoring, which is often costly and cannot be utilised during large floods. Seismic monitoring is a method requiring several steps to convert seismic data into bedload flux data. State‐of‐the‐art conversion approaches exploit physical models predicting the seismic signal generated by bedload transport. However, due to a lack of well‐constrained validation data, the accuracy of the resulting inversions is unknown. We use field experiments to constrain a seismic bedload model and compare the results to high‐quality independent bedload measurements. Constraining the Green’s function (i.e., seismic ground properties) with an active seismic survey resulted in an average absolute difference between modelled and empirically measured seismic bedload power of 11 dB in the relevant frequency band. Using generically estimated Green’s function parameters resulted in a difference of 20 dB, thus highlighting the importance of using actual field parameters. Water turbulence and grain hiding are unlikely to be the cause of differences between field observations and our analysis. Rather, they may be either due to the inverted model being particularly sensitive to the coarse tail of the grain‐size distribution, which is least well constrained from field observations, or due to the seismic model underestimating effects of the largest grains.

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 Dates: 2021-03-172021
 Publication Status: Finally published
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 Identifiers: DOI: 10.1029/2020WR028700
GFZPOF: p4 T5 Future Landscapes
GFZPOF: p4 T3 Restless Earth
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Title: Water Resources Research
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 57 (4) Sequence Number: e2020WR028700 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals484
Publisher: American Geophysical Union (AGU)