Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package

11 Pags.- 4 Figs.- 4 Tabls. Data availability: Data will be made available on request. © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.

Detalles Bibliográficos
Autores: Catalá, Arturo, Latorre Garcés, Borja, Gaspar Ferrer, Leticia, Navas Izquierdo, Ana
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/400054
Acceso en línea:http://hdl.handle.net/10261/400054
Access Level:acceso abierto
Palabra clave:Soil erosion
Soil deposition
Fallout radionuclides
137Cs
Mass balance model
Soil redistribution rates
soil erosion models
soil accumulation
caesium 137
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spelling Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R packageCatalá, ArturoLatorre Garcés, BorjaGaspar Ferrer, LeticiaNavas Izquierdo, AnaSoil erosionSoil depositionFallout radionuclides137CsMass balance modelSoil redistribution ratessoil erosion modelssoil accumulationcaesium 13711 Pags.- 4 Figs.- 4 Tabls. Data availability: Data will be made available on request. © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.Quantifying soil redistribution rates cannot be fully addressed by conventional methodologies. Fallout radionuclides (FRNs), particularly 137Cs, serve as reliable tracers of soil movement. Numerous models have emerged to estimate soil erosion rates using FRNs, though a versatile, physically-based 137Cs model remains absent. We present RadEro, a model designed to estimate soil redistribution rates from 137Cs inventories in both ploughed and undisturbed soils, using sectioned or bulk soil profiles based on the mass balance model by Soto and Navas (2004, 2008). The model is built within an R package that offers clear plotting and presentation of results while maintaining a user-friendly format and open-source code. RadEro model accounts for annual 137Cs fallout, radioactive decay, stoniness through fine fraction density and effective volume of 137Cs and vertical diffusion processes. The RadEro model, validated through sectioned and bulk soil profiles, demonstrates high reliability in simulating experimental inventories, enabling effective land management decisions.This research is part of the Project I + D + i PID2023-147193OB-I00, and was supported by a predoctoral contract from the Gobierno de Aragón under ORDEN CUS/621/2023, dated May 10th.Peer reviewedMinisterio de Ciencia e Innovación (España)Gobierno de AragónLatorre Garcés, Borja [0000-0002-6720-3326]Gaspar Ferrer, Leticia [0000-0002-3473-7110]Navas Izquierdo, Ana [0000-0002-4724-7532]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/400054reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-147193OB-I00https://doi.org/10.1016/j.envsoft.2025.106551Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4000542026-05-22T06:33:51Z
dc.title.none.fl_str_mv Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
title Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
spellingShingle Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
Catalá, Arturo
Soil erosion
Soil deposition
Fallout radionuclides
137Cs
Mass balance model
Soil redistribution rates
soil erosion models
soil accumulation
caesium 137
title_short Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
title_full Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
title_fullStr Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
title_full_unstemmed Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
title_sort Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
dc.creator.none.fl_str_mv Catalá, Arturo
Latorre Garcés, Borja
Gaspar Ferrer, Leticia
Navas Izquierdo, Ana
author Catalá, Arturo
author_facet Catalá, Arturo
Latorre Garcés, Borja
Gaspar Ferrer, Leticia
Navas Izquierdo, Ana
author_role author
author2 Latorre Garcés, Borja
Gaspar Ferrer, Leticia
Navas Izquierdo, Ana
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Gobierno de Aragón
Latorre Garcés, Borja [0000-0002-6720-3326]
Gaspar Ferrer, Leticia [0000-0002-3473-7110]
Navas Izquierdo, Ana [0000-0002-4724-7532]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Soil erosion
Soil deposition
Fallout radionuclides
137Cs
Mass balance model
Soil redistribution rates
soil erosion models
soil accumulation
caesium 137
topic Soil erosion
Soil deposition
Fallout radionuclides
137Cs
Mass balance model
Soil redistribution rates
soil erosion models
soil accumulation
caesium 137
description 11 Pags.- 4 Figs.- 4 Tabls. Data availability: Data will be made available on request. © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/400054
url http://hdl.handle.net/10261/400054
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-147193OB-I00
https://doi.org/10.1016/j.envsoft.2025.106551
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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