Diagnostic properties of river flood deposit sediment collected annually from 2011 to 2023 at ten sites across a water reservoir catchment contaminated after the fukushima daiichi nuclear accident radiocesium fallout (mano dam) (Version 1) [Data set]

  • The current dataset was compiled to investigate sediment and radiocesium transfers in the Mano Dam reservoir catchment from 2011 to 2023, which was contaminated following the Fukushima Daiichi nuclear power plant accident in March 2011. This dataset contains river flood sediments collected annually at ten sites in the Mano Dam reservoir catchment (n = 102) and on potential source soils. Potential source materials include forest soils (n = 24), farmland soils (n = 24) and subsoil (subsoil material and landslide; n = 10). The dataset allows the assessment of spatial heterogeneity in sediment dynamics, erosion processes and contaminant transfer, providing insights into landscape and management influences on sediment sources and deposition patterns. Flood sediment samples were collected in November following major flood events associated with the occurrence of extreme precipitation events such as typhoons or tropical storms. The dataset consists of four CSV files containing data andThe current dataset was compiled to investigate sediment and radiocesium transfers in the Mano Dam reservoir catchment from 2011 to 2023, which was contaminated following the Fukushima Daiichi nuclear power plant accident in March 2011. This dataset contains river flood sediments collected annually at ten sites in the Mano Dam reservoir catchment (n = 102) and on potential source soils. Potential source materials include forest soils (n = 24), farmland soils (n = 24) and subsoil (subsoil material and landslide; n = 10). The dataset allows the assessment of spatial heterogeneity in sediment dynamics, erosion processes and contaminant transfer, providing insights into landscape and management influences on sediment sources and deposition patterns. Flood sediment samples were collected in November following major flood events associated with the occurrence of extreme precipitation events such as typhoons or tropical storms. The dataset consists of four CSV files containing data and metadata with variable descriptions.show moreshow less

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Metadaten
Author:Thomas Chalaux-ClergueORCiDGND, N. Tenaud, R. Durand, A. Caumon, Y. Wakiyama, J. P. Laceby, I. Lefèvre, S. Huon, V. Vaury, M. Mendes-Millan, A. Ogier, Y. Onda, A. Nakao, O. Evrard
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/121877
Parent Title (English):Zenodo
Publisher:CERN
Place of publication:Genf
Type:Research Data
Language:English
Year of first Publication:2024
Release Date:2025/05/09
Edition:Online-Ressource
Data type:Dataset
Format:csv
DOI:https://doi.org/10.5281/zenodo.11609434
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Wasser- und Bodenressourcenforschung
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften