Inversion of provenance data and sediment load into spatially varying erosion rates

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Serval ID
serval:BIB_1A4D2FF81D64
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Inversion of provenance data and sediment load into spatially varying erosion rates
Journal
Earth Surface Processes and Landforms
Author(s)
De Doncker Fien, Herman Frédéric, Fox Matthew
ISSN
0197-9337
1096-9837
Publication state
Published
Issued date
12/2020
Volume
45
Number
15
Pages
3879-3901
Language
english
Abstract
Sediment fingerprinting methods aim to determine the relative contribution of different source areas in detrital sediments based on natural properties – fingerprints – of the source areas. Here, we use U/Th–Pb age signatures as fingerprints, assuming that the age signal is not altered during erosion–transportation–deposition events, and given that recent technological advances enable precise dating of large amounts of grains. We introduce a formal inversion method that allows to disentangle the amalgamation of source contributions in detrital zircon data and enables to convert this information into an erosion rate map starting from the spatial distribution of zircon age signatures. Relying on the least‐squares method and using prior and covariance information to deal with non‐uniqueness, we show, using synthetic and natural examples, that we are able to retrieve erosion rate patterns of a catchment when the age distribution and zircon fertility for each source area are well known. Moreover, we show that not only zircon age fingerprints but also other tracers such as mineral content can be used. Furthermore, we found that adding data from samples taken at the outlet of tributaries improves the estimation of erosion rate patterns. We conclude that the least squares inverse model applied to detrital data has great potential for investigating erosion rates.
Keywords
formal inversion, provenance analysis, erosion rates, U/Pb zircon ages, detrital zircon data
Web of science
Funding(s)
Other / Swiss Polar Institute: GLACE
Create date
27/01/2021 15:03
Last modification date
28/01/2021 8:08
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