Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

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

Urheber*innen
/persons/resource/lagarde

Sophie,  Lagarde
4.6 Geomorphology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/mdietze

Dietze,  Michael
4.6 Geomorphology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/fgimbert

Gimbert,  Florent
4.6 Geomorphology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Laronne,  Jonathan B.
External Organizations;

/persons/resource/turowski

Turowski,  J.
4.6 Geomorphology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Halfi,  Eran
External Organizations;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)

5006275.pdf
(Verlagsversion), 4MB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

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


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5006275
Zusammenfassung
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.