A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns

15 Pags.- 13 Figs.- 4 Tabls. Data availability: Data will be made available on request. © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license.

Detalles Bibliográficos
Autores: Moret-Fernández, David, Latorre Garcés, Borja
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:10261/392209
Acceso en línea:http://hdl.handle.net/10261/392209
Access Level:acceso abierto
Palabra clave:Soil water retention curve
Hydraulic conductivity
Sorptivity
Parameter estimation
Inverse modeling
Hydrology
soil water
hydraulic conductivity
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spelling A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columnsMoret-Fernández, DavidLatorre Garcés, BorjaSoil water retention curveHydraulic conductivitySorptivityParameter estimationInverse modelingHydrologysoil waterhydraulic conductivity15 Pags.- 13 Figs.- 4 Tabls. Data availability: Data will be made available on request. © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license.The van Genuchten-Mualem (VG) model, commonly used to describe soil hydraulic properties, requires five parameters: saturated hydraulic conductivity (Ks), water retention curve parameters (α and n), and residual (θr) and saturated (θs) water contents. This study presents two complementary methods to estimate these parameters from the inverse analysis of a single infiltration curve followed by gravity drainage, measured at saturated conditions in finite, short soil columns. The first method, QEI, employs the Haverkamp formulation for 1D geometry. The second, HYDRUS-VG, combines the Haverkamp formulation with the HYDRUS-1D and the VG models. Assuming the initial water content of the soil as a measurable data equal to θr, both methods take advantage of four singular characteristics of the infiltration curve followed by gravity drainage, such as the slope of the drainage section (related to Ks), the soil water increase (ΔθT), the infiltration time at the end of the transient phase, and the initial infiltration steps (related to sorptivity). The methods were evaluated on infiltration curves simulated on synthetic soils generated with HYDRUS-1D, and on experimental infiltration data measured in both sieved loam soil and undisturbed cores collected from the same loam soil under different tillage management practices: reduced tillage (RT), where chisel ploughing is used as primary tillage practice, and no-tillage (NT). A significant relationship (R2 = 0.99; y = 1.00x + 5.2 10−5; p < 0.001) was found between the theoretical Ks, α, n, and θs and the corresponding parameters optimized in the synthetic soils with both QEI and HYDRUS-VG. The methods were also able to detect differences in soil hydraulic properties between sieved soil and RT and NT managements, with RT soils exhibiting the highest values of Ks, α, and n. The proposed methods offer a reliable, efficient, and cost-effective approach to estimate soil hydraulic properties, making them valuable tools for various hydrological, engineering or agricultural applications, among others.This research was partially supported by the Ministerio de Ciencia e Innovación project RENURSE (TED2021-132406B-I00) and the projects BEEP (BF047) and BIOPIRINEO (BF160) of the Ministerio para la Transición Ecológica y el Reto Demográfico.Peer reviewedElsevierMinisterio de Ciencia e Innovación (España)Ministerio para la Transición Ecológica y el Reto Demográfico (España)Moret-Fernández, David [0000-0002-6674-0453]Latorre Garcés, Borja [0000-0002-6720-3326]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/10261/392209reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.jhydrol.2025.133087Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3922092026-05-22T06:33:51Z
dc.title.none.fl_str_mv A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns
title A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns
spellingShingle A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns
Moret-Fernández, David
Soil water retention curve
Hydraulic conductivity
Sorptivity
Parameter estimation
Inverse modeling
Hydrology
soil water
hydraulic conductivity
title_short A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns
title_full A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns
title_fullStr A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns
title_full_unstemmed A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns
title_sort A novel laboratory method to estimate the soil hydraulic property from the inverse analysis of an infiltration curve measured in finite columns
dc.creator.none.fl_str_mv Moret-Fernández, David
Latorre Garcés, Borja
author Moret-Fernández, David
author_facet Moret-Fernández, David
Latorre Garcés, Borja
author_role author
author2 Latorre Garcés, Borja
author2_role author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Ministerio para la Transición Ecológica y el Reto Demográfico (España)
Moret-Fernández, David [0000-0002-6674-0453]
Latorre Garcés, Borja [0000-0002-6720-3326]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Soil water retention curve
Hydraulic conductivity
Sorptivity
Parameter estimation
Inverse modeling
Hydrology
soil water
hydraulic conductivity
topic Soil water retention curve
Hydraulic conductivity
Sorptivity
Parameter estimation
Inverse modeling
Hydrology
soil water
hydraulic conductivity
description 15 Pags.- 13 Figs.- 4 Tabls. Data availability: Data will be made available on request. © 2025 The Authors. Published by Elsevier B.V. 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/10261/392209
url http://hdl.handle.net/10261/392209
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.jhydrol.2025.133087
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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score 15,812429

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