Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France).

Local geochemical background Metal elements Palaeochannel archives Stream sediment geochemistry

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 07 08 2020
revised: 20 08 2020
accepted: 26 08 2020
entrez: 5 10 2020
pubmed: 6 10 2020
medline: 6 10 2020
Statut: epublish

Résumé

Natural metal background levels in sediments are critical to assess spatial and temporal trends of contamination in hydrosystems and to manage polluted sediments. This is even more sensitive that multi-factors such as geogenic basement, depositional context, and past or long-term pollution can affect the level of metals in sediments. This article provides natural metal background levels and ancillary data (location, chronology, grain-size, total organic carbon - TOC) in pre-industrial sediments along the Rhône River (France). Two distinct areas were selected to take into account the geological variability of the watershed: the Dauphiné Lowlands (Upper Rhône River) and the Tricastin Floodplain (Middle Rhône River). On each area, the sediment cores were retrieved from palaeochannel sequences and the sampled sections were dated by radiocarbon from the Roman to the Modern Times (AD 3-1878). Regulatory metals (Al, Fe, Cd, Cr, Cu, Ni, Pb, and Zn) and other trace elements (Ba, Co, Li, Mg, Mn, Na, P, Sr, Ti, V) were analysed following both

Identifiants

pubmed: 33015254
doi: 10.1016/j.dib.2020.106256
pii: S2352-3409(20)31150-1
pmc: PMC7522338
doi:

Types de publication

Journal Article

Langues

eng

Pagination

106256

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.

Références

Environ Int. 2020 Aug 26;144:106032
pubmed: 32861162

Auteurs

André-Marie Dendievel (AM)

Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR5023 LEHNA, F-69518 Vaulx-en-Velin, France.

Brice Mourier (B)

Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR5023 LEHNA, F-69518 Vaulx-en-Velin, France.

Aymeric Dabrin (A)

INRAE, Centre de Lyon-Villeurbanne, UR RiverLy, F-69625 Villeurbanne Cedex, France.

Adrien Barra (A)

CNRS, Univ Lyon, Université Lyon 2, UMR 5600 EVS, F-69676 Bron Cedex, France.

Céline Bégorre (C)

INRAE, Centre de Lyon-Villeurbanne, UR RiverLy, F-69625 Villeurbanne Cedex, France.

Hugo Delile (H)

INRAE, Centre de Lyon-Villeurbanne, UR RiverLy, F-69625 Villeurbanne Cedex, France.

Myriam Hammada (M)

Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR5023 LEHNA, F-69518 Vaulx-en-Velin, France.

Gary Lardaux (G)

Univ Lyon, Ecole Normale Supérieure, CNRS, UMR 5600 EVS, F-69342 Lyon Cedex 07, France.

Jean-François Berger (JF)

CNRS, Univ Lyon, Université Lyon 2, UMR 5600 EVS, F-69676 Bron Cedex, France.

Classifications MeSH