INVESTIGADORES
ORFEO Oscar
artículos
Título:
Sediment Transit Time and Floodplain Storage Dynamics in Alluvial Rivers Revealed by Meteoric 10 Be
Autor/es:
REPASCH, MARISA; WITTMANN, HELLA; SCHEINGROSS, JOEL S.; SACHSE, DIRK; SZUPIANY, RICARDO; ORFEO, OSCAR; FUCHS, MARGRET; HOVIUS, NIELS
Revista:
Journal of Geophysical Research: Earth Surface
Editorial:
American Geophysical Union - John Wiley & Sons, Inc.
Referencias:
Lugar: Washington DC; Año: 2020 vol. 125 p. 1 - 19
ISSN:
2169-9003
Resumen:
Abstract Quantifying the time scales of sediment transport and storage through river systems isfundamental for understanding weathering processes, biogeochemical cycling, and improvingwatershed management, but measuring sediment transit time is challenging. Here we provide the first systematic test of measuring cosmogenic meteoric Beryllium‐10 (10Bem) in the sediment load of a large alluvial river to quantify sediment transit times. We take advantage of a natural experiment in the Rio Bermejo, a lowland alluvial river traversing the east Andean foreland basin in northern Argentina. This river has no tributaries along its trunk channel for nearly 1,300 km downstream from the mountain front. We sampled suspended sediment depth profiles along the channel and measured the concentrations of 10Bem in the chemically extracted grain coatings. We calculated depth‐integrated 10Bem concentrations using sediment flux data and found that 10Bem concentrations increase 230% from upstream to downstream, indicating a mean total sediment transit time of 8.4 ± 2.2 kyr. Bulk sediment budget‐based estimates of channel belt and fan storage times suggest that the 10Bem tracer records mixing of old and young sediment reservoirs. On a reach scale, 10Bem transit times are shorter where the channel is braided and superelevated above the floodplain, and longer where the channel is incised and meandering, suggesting that transit time is controlled by channel morphodynamics. This is the first systematic application of 10Bem as a sediment transit time tracer and highlights the method's potential for inferring sediment routing and storage dynamics in large river systems