Stutenbecker, L. ; Scheuvens, D. ; Hinderer, M. ; Hornung, J. ; Petschick, R. ; Raila, N. ; 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
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Stutenbecker, L. ; Scheuvens, D. ; Hinderer, M. ; Hornung, J. ; Petschick, R. ; Raila, N. ; Schwind, E. |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Temporal Variability of Fluvial Sand Composition: An Annual Time Series From Four Rivers in SW Germany |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2023 |
| Verlag: | John Wiley & Sons |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Journal of Geophysical Research: Earth Surface |
| Jahrgang/Volume einer Zeitschrift: | 128 |
| (Heft-)Nummer: | 6 |
| Kollation: | 18 Seiten |
| DOI: | 10.26083/tuprints-00024314 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/24314 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | geochemistry, provenance, grain‐size, variability, bed load, fluvial sediment |
| ID-Nummer: | e2023JF007138 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-243141 |
| Zusätzliche Informationen: | This article also appears in: Controls and Biasing Factors in Sediment Generation, Routing, and Provenance: Models, Methods, and Case Studies |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften |
| Fachbereich(e)/-gebiet(e): | 11 Fachbereich Material- und Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften |
| Hinterlegungsdatum: | 04 Aug 2023 12:14 |
| Letzte Änderung: | 07 Aug 2023 07:05 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Temporal Variability of Fluvial Sand Composition: An Annual Time Series From Four Rivers in SW Germany. (deposited 04 Aug 2023 12:14) [Gegenwärtig angezeigt]
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