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Origin and historical inputs of suspended particulate matter (SPM) from the Rhône tributaries: use of the non-reactive geochemical signature of particles

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HAL Id: hal-02607692

https://hal.inrae.fr/hal-02607692

Submitted on 16 May 2020

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Origin and historical inputs of suspended particulate matter (SPM) from the Rhône tributaries: use of the

non-reactive geochemical signature of particles

C. Begorre, A. Dabrin, M. Masson, G. Grisot, L. Dherret, F. Eyrolle Boyer, A. Véron, B. Mourier, Marina Coquery

To cite this version:

C. Begorre, A. Dabrin, M. Masson, G. Grisot, L. Dherret, et al.. Origin and historical inputs of suspended particulate matter (SPM) from the Rhône tributaries: use of the non-reactive geochemical signature of particles. EGU 2018, Apr 2018, Vienna, Austria. pp.1, 2018. �hal-02607692�

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Arve Fier Guiers Ain Bourbre

Low water flow (n = 13) 95 ± 2 2 ± 2 1 ± 3 1 ± 6 1 ± 4

Flood (n = 6) 60 ± 10 10 ± 11 14 ± 19 9 ± 12 7 ± 16

Dam flushing (n = 8) 95 ± 2 0 3 ± 3 1 ± 2 1 ± 2

Context

(1) Irstea, UR RiverLy, centre de Lyon-Villeurbanne, 5 rue de la Doua CS 20244, 69625 Villeurbanne, France, (2) Institut de Radioprotection et de Sureté Nucléaire (IRSN), PSE-ENV, SRTE/LRTA, BP 3, Saint-Paul-lez-Durance, France, (3) CEREGE, Aix-Marseille Univ., CNRS, IRD, Coll de France, Europôle Méditerranéen de l’Arbois, BP80, Aix en Provence Cedex 04, France, (4) Université de Lyon, UMR5023 Laboratoire d’Ecologie des Hydrosystèmes Naturels et Anthropisés, Université Lyon 1, ENTPE, CNRS, 3, rue Maurice Audin, 69518 Vaulx-en-Velin, France

Céline Bégorre

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, Aymeric Dabrin

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, Matthieu Masson

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, Ghislaine Grisot

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, Lysiane Dherret

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, Frédérique Eyrolle-Boyer

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, Alain Veron

(3)

, Brice Mourier

(4)

, and Marina Coquery

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Origin and historical inputs of suspended particulate matter (SPM) from the Rhône

tributaries: use of the non-reactive geochemical signature of particles.

octobre 2016

Caen - France

24

-28

12 grandes thématiques Conférences plénières Excursions géologiques Forums métiers, enseignement Conception : Sébastien GARNAUD - SGF

25 e EDITION

RÉUNİON

DES

SCİENCES

DE L A

TERRE

www.rst-sgf.fr Date importante

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15 juin 2016

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Preliminary results on sediment core

[1] Gellis , AC.,et Noe, GB., 2013. Sediment source analysis in the Linganore Creek watershed, Maryland, USA, using the sediment fingerprinting approach : 2008 to 2010. Journal of Soils and Sediments 13, 1735-1753.

Objectives

Conclusions

o Original approach to trace with the residual fraction of SPM in Upper Rhône

o Discriminant elements were found

o Robust relative contribution results at the sample and Upper Rhône scales

o The determination of sediment origin is essential to manage suspended particulate matter inputs in river systems.

o SPM contribute to the transport of a large amount of contaminants in rivers.

o The Rhône River is the main sediment input to the Mediterranean Sea. The Rhône sediment observatory (OSR) program aims to develop a fingerprinting approach in Rhône River watershed with a large number of SPM samples over 7 years (n = 300).

o Determine the origin of SPM from the Rhône River tributaries :

• Estimate relative contributions of SPM fluxes using conservative tracers (major and trace elements in the residual fraction, particle size correction)

• Estimate uncertainties associated with these contributions

o Determine the historical SPM inputs of the tributaries by applying the fingerprinting approach on a sediment core.

Material and methods

Sample treatment and analysis

Total mineralization HNO3, HCl, HF Soft extraction HCl 1M Conservative fraction

17 elements analysed by ICP-OES

Data treatment and geochemical mixing model :

o Kruskal-Wallis test + Discriminant Function Analysis → tracer selection

o Mixing model + Monte Carlo analysis (1000 repetitions)→ relative source contribution estimates + uncertainties

o Data treatment : standardisation, particle size correction (Gellis and Noe, 2013)

Heating block Al Zn V Ti Sr Pb Ni Mn Mg Li Fe Cu Cr Co Cd Ba As

Source fingerprinting in the Upper Rhône

Geochemical mixing model results from SPM data : relative source contributions in %

Source contribution (in %, corrected data) with absolute uncertainties at Jons station

- Al reflect the grain size

Centrifuge (C)

Approximately 4h

- Discriminant elements : Ba, Mg, Fe, Cu, Cr, Mn, Ni, V, Sr, Li, Ti, Co

- The Arve and Fier rivers are the main contributors in SPM fluxes at the Jons station

Vienna, 2018

Residual metal concentrations in SPM samples

- Ba is a discriminating element but not Zn at the Upper Rhône scale

 confirmed by Kruskal-Walis test and DFA

Flood (Q > 800 m3/s) - 2012

Dam flushing operations - June 2012

o Try to reduce uncertainties of relative contributions by applying a particle size correction factor [1]

o Complete the OSR SPM database as a number of samples are missing, on some tributaries, to trace SPM sources at Arles station and in sediment core

o Historical SPM inputs in the Upper Rhône o Compare SPM and sediment core results

Residual Al, Ba and Zn concentrations in SPM in Rhône River tributaries

Low water flow (Q ≤ 800 m3/s) - 2012

Acknowledgments: This study was supported by the Rhône Sediment Observatory (OSR), a multi-partner research program partly funded by the Plan Rhône and by the European Regional Development Fund (ERDF), Irstea (French National Research Institute of Science and Technology for Environment and Agriculture) Lyon- Villeurbanne and the AE-ZABR project (Water Agency - Rhône Basin Term Environmental Research). OSR network BDOH database Sediment core Particle trap (PT) (2 weeks to 1 month)

SPM sampling strategy

Perspectives

Residual and total Al, Ba and Zn concentrations :

These results will be used to trace the history of sediment sources at the Arles stations.

1972 1977 1984 1990 1994 2000 2000 2000 1994 1994 1990 1990 1984 1984 1977 1977 1972 1972 Jan_C May-June_PT Corrected data June-July_PT Feb_C Corrected data C PT Corrected data Jan_C May-June_PT Standard data Jan_C May-June_PT Raw data June-July_PT Feb_C Standard data June-July_PT Feb_C Raw data C Raw data PT Standard data PT C

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