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Estimation of the soil hydraulic properties from field data by solving an inverse problem
Estimating unsaturated soil hydraulic properties to predict water dynamics through a vertical soil profile under the effects of irrigation, drainage and evapotranspiration is imperative for managing soils in the arid regions. The aim of this work was to determine the soil water retention curve and t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283280/ https://www.ncbi.nlm.nih.gov/pubmed/32518263 http://dx.doi.org/10.1038/s41598-020-66282-5 |
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author | Guellouz, Lamia Askri, Brahim Jaffré, Jérome Bouhlila, Rachida |
author_facet | Guellouz, Lamia Askri, Brahim Jaffré, Jérome Bouhlila, Rachida |
author_sort | Guellouz, Lamia |
collection | PubMed |
description | Estimating unsaturated soil hydraulic properties to predict water dynamics through a vertical soil profile under the effects of irrigation, drainage and evapotranspiration is imperative for managing soils in the arid regions. The aim of this work was to determine the soil water retention curve and the hydraulic permeability function of a bare soil profile in a Tunisian oasis threatened by salinization. The developed model combines a numerical inversion of the unsaturated flow equation with the BOBYQA optimisation algorithm. The direct model solved the Richards equation using a cell-centred finite difference model. Hydraulic properties were described by van Genuchten-Mualem models. Input data for the inverse problem are the infiltration flow, soil water contents and pressure heads measured during ponded infiltration and internal drainage tests. Numerical simulations of these two tests were performed considering a homogeneous single-layer soil profile but a better fitting between measured and simulated water contents was obtained when the soil profile was divided into five sub-layers. The hysteresis phenomenon was highlighted from the soil water retention and the relative permeability curves corresponding to the ponded infiltration and internal drainage tests. |
format | Online Article Text |
id | pubmed-7283280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72832802020-06-15 Estimation of the soil hydraulic properties from field data by solving an inverse problem Guellouz, Lamia Askri, Brahim Jaffré, Jérome Bouhlila, Rachida Sci Rep Article Estimating unsaturated soil hydraulic properties to predict water dynamics through a vertical soil profile under the effects of irrigation, drainage and evapotranspiration is imperative for managing soils in the arid regions. The aim of this work was to determine the soil water retention curve and the hydraulic permeability function of a bare soil profile in a Tunisian oasis threatened by salinization. The developed model combines a numerical inversion of the unsaturated flow equation with the BOBYQA optimisation algorithm. The direct model solved the Richards equation using a cell-centred finite difference model. Hydraulic properties were described by van Genuchten-Mualem models. Input data for the inverse problem are the infiltration flow, soil water contents and pressure heads measured during ponded infiltration and internal drainage tests. Numerical simulations of these two tests were performed considering a homogeneous single-layer soil profile but a better fitting between measured and simulated water contents was obtained when the soil profile was divided into five sub-layers. The hysteresis phenomenon was highlighted from the soil water retention and the relative permeability curves corresponding to the ponded infiltration and internal drainage tests. Nature Publishing Group UK 2020-06-09 /pmc/articles/PMC7283280/ /pubmed/32518263 http://dx.doi.org/10.1038/s41598-020-66282-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Guellouz, Lamia Askri, Brahim Jaffré, Jérome Bouhlila, Rachida Estimation of the soil hydraulic properties from field data by solving an inverse problem |
title | Estimation of the soil hydraulic properties from field data by solving an inverse problem |
title_full | Estimation of the soil hydraulic properties from field data by solving an inverse problem |
title_fullStr | Estimation of the soil hydraulic properties from field data by solving an inverse problem |
title_full_unstemmed | Estimation of the soil hydraulic properties from field data by solving an inverse problem |
title_short | Estimation of the soil hydraulic properties from field data by solving an inverse problem |
title_sort | estimation of the soil hydraulic properties from field data by solving an inverse problem |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283280/ https://www.ncbi.nlm.nih.gov/pubmed/32518263 http://dx.doi.org/10.1038/s41598-020-66282-5 |
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