English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  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

Item is

Files

show Files
hide Files
:
5006275.pdf (Publisher version), 4MB
Name:
5006275.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 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              

Content

show
hide
Free keywords: DEAL Wiley
 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.

Details

show
hide
Language(s):
 Dates: 2021-03-172021
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1029/2020WR028700
GFZPOF: p4 T5 Future Landscapes
GFZPOF: p4 T3 Restless Earth
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Water Resources Research
Source Genre: Journal, SCI, Scopus, oa ab 2024
 Creator(s):
Affiliations:
Publ. Info: -
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)