TU Darmstadt / ULB / TUprints

Temporal Variability of Fluvial Sand Composition: An Annual Time Series From Four Rivers in SW Germany

Stutenbecker, Laura ; Scheuvens, Dirk ; Hinderer, Matthias ; Hornung, Jens ; Petschick, Rainer ; Raila, Nirmal ; Schwind, E. (2023)
Temporal Variability of Fluvial Sand Composition: An Annual Time Series From Four Rivers in SW Germany.
In: Journal of Geophysical Research: Earth Surface, 2023, 128 (6)
doi: 10.26083/tuprints-00024314
Article, Secondary publication, Publisher's Version

[img] Text
Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (3MB)
Item Type: Article
Type of entry: Secondary publication
Title: Temporal Variability of Fluvial Sand Composition: An Annual Time Series From Four Rivers in SW Germany
Language: English
Date: 4 August 2023
Place of Publication: Darmstadt
Year of primary publication: 2023
Publisher: John Wiley & Sons
Journal or Publication Title: Journal of Geophysical Research: Earth Surface
Volume of the journal: 128
Issue Number: 6
Collation: 18 Seiten
DOI: 10.26083/tuprints-00024314
Corresponding Links:
Origin: Secondary publication DeepGreen

The sampling of fluvial sediment is subject to many sources of uncertainty, for example, time and location, and the number of samples collected. It is nevertheless commonly assumed that a sample taken at one time and location provides a somewhat averaged compositional signal. Any spatial or temporal variability of this signal is often neglected. This study investigates how the composition of bed load sand changes over an observation period of 1 year in four river basins with differing bedrock geology in southwestern Germany. Up to 12 bulk sediment samples were taken at the same locations using the same approach and analyzed for their granulometry and geochemistry. The results indicate that (a) different grain sizes yield different compositions due to source rock composition and hydraulic sorting effects, (b) bulk sediment composition changes temporally due to changing grain‐size distribution, and (c) compared to the bulk sample, the composition of narrow grain sizes is temporally more stable but nevertheless has an average variability of 15%. Because heavy mineral‐bound elements such as Zr have the highest variability, we relate a major component of compositional variability to temporally varying heavy mineral concentrations in response to hydrodynamic processes. Mixing modeling demonstrates that the fluvial sand faithfully reflects its catchment geology and that the sediment sources do not change substantially during the observation period, even during a flooding event. We conclude (a) that the causes for compositional variability may be disentangled using chemical and granulometric time series data and (b) that narrow grain sizes yield representative source rock contributions.

Uncontrolled Keywords: geochemistry, provenance, grain‐size, variability, bed load, fluvial sediment
Identification Number: e2023JF007138
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-243141
Additional Information:

This article also appears in: Controls and Biasing Factors in Sediment Generation, Routing, and Provenance: Models, Methods, and Case Studies

Classification DDC: 500 Science and mathematics > 550 Earth sciences and geology
Divisions: 11 Department of Materials and Earth Sciences > Earth Science
Date Deposited: 04 Aug 2023 12:14
Last Modified: 17 Oct 2023 07:37
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24314
PPN: 51223437X
Actions (login required)
View Item View Item