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
Text
JGRF_JGRF21754.pdf 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 |
Abstract: | 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 |
Export: |
View Item |