Environmental Geosciences, Department of Environmental Science, University of Basel, 4056 Basel, Switzerland
Pierre-Alexis Chaboche
Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo 102-0083, Japan
Institute of Environmental Radioactivity, Fukushima University, Kanayagawa, Fukushima, Japan
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), Unité Mixte de Recherche 8212 (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Katrin Meusburger
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Zurich, Switzerland
Pierre Sabatier
Laboratoire Environnements, Dynamiques et Territoires de Montagne (EDYTEM), CNRS, Université Savoie Mont Blanc, 73376 Le Bourget-du-Lac, France
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), Unité Mixte de Recherche 8212 (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Fallout radionuclides (FRNs) such as 137Cs and 239+240Pu are considered to be critical tools in various environmental research. Here, we compiled reference soil data on these FRNs from the literature to build a comprehensive database. Using this database, we determined the distribution and sources of 137Cs and 239+240Pu. We also demonstrated how the database can be used to identify the environmental factors that influence their distribution using a machine learning algorithm.
Fallout radionuclides (FRNs) such as 137Cs and 239+240Pu are considered to be critical tools in...