Sensitivity of source sediment fingerprinting  to tracer selection methods

Chalaux-Clergue, Thomas; Bizeul, Rémi; Batista, Pedro V. G.; Martínez-Carreras, Núria; Laceby, J. Patrick; Evrard, Olivier

doi:https://doi.org/10.5194/soil-10-109-2024

Articles | Volume 10, issue 1

https://doi.org/10.5194/soil-10-109-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/soil-10-109-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 1

Original research article

|

13 Feb 2024

Original research article |

| 13 Feb 2024

Sensitivity of source sediment fingerprinting to tracer selection methods

Thomas Chalaux-Clergue, Rémi Bizeul, Pedro V. G. Batista, Núria Martínez-Carreras, J. Patrick Laceby, and Olivier Evrard

Supplement

https://doi.org/10.5194/soil-10-109-2024-supplement

Data sets

Organic matter, geochemical and colorimetric properties of potential source material, target sediment and laboratory mixtures for conducting sediment fingerprinting approaches in the Mano Dam Reservoir (Hayama Lake) catchment, Fukushima Prefecture, Japan. Thomas Chalaux-Clergue et al. https://doi.org/10.5281/zenodo.7081094

Model code and software

A Support for Sediment Source Fingerprinting Studies Thomas Chalaux-Clergue and Rémi Bizeul https://doi.org/10.5281/zenodo.8293596

Short summary

Sediment source fingerprinting is a relevant tool to support soil conservation and watershed management in the context of accelerated soil erosion. To quantify sediment source contribution, it requires the selection of relevant tracers. We compared the three-step method and the consensus method and found very contrasted trends. The divergences between virtual mixtures and sample prediction ranges highlight that virtual mixture statistics are not directly transferable to actual samples.