Articles | Volume 27, issue 4
https://doi.org/10.5194/hess-27-895-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-895-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mixed formulation for an easy and robust numerical computation of sorptivity
Laurent Lassabatere
CORRESPONDING AUTHOR
Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, 69518 Vaulx-en-Velin, France
Pierre-Emmanuel Peyneau
Univ Gustave Eiffel, GERS-LEE, 44344 Bouguenais, France
Deniz Yilmaz
Civil Engineering Department, Engineering Faculty, Munzur University, Tunceli, Türkiye
Joseph Pollacco
Manaaki Whenua – Landcare Research, 7640 Lincoln, New Zealand
Jesús Fernández-Gálvez
Department of Regional Geographic Analysis and Physical Geography, University of Granada, 18071 Granada, Spain
Borja Latorre
Departamento de Suelo y Agua, Estación Experimental de Aula Dei, Consejo Superior de Investigaciones Científicas (CSIC), P.O. Box 13034, 50080 Zaragoza, Spain
David Moret-Fernández
Departamento de Suelo y Agua, Estación Experimental de Aula Dei, Consejo Superior de Investigaciones Científicas (CSIC), P.O. Box 13034, 50080 Zaragoza, Spain
Simone Di Prima
School of Agricultural, Forestry, Food and Environmental Sciences (SAFE), University of Basilicata, 85100 Potenza, Italy
Mehdi Rahmati
Department of Soil Science and Engineering, Faculty of Agriculture, University of Maragheh, Maragheh, Iran
Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Ryan D. Stewart
School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
Majdi Abou Najm
Department of Land, Air and Water Resources, University of California, Davis, CA 95616, United States
Claude Hammecker
University of Montpellier, UMR LISAH, IRD, Montpellier, France
Rafael Angulo-Jaramillo
Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, 69518 Vaulx-en-Velin, France
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A simple pore model was designed to compute water infiltration into soils. The model was tested previously in normal soils and was used here to test its efficiency in water repellent soils. The computed infiltration curves are coherent with experimentally measured infiltration in water repellent soils. With this model, we could also partially reproduce the fingering features often observed during water infiltration in hydrophobic soils.
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Soil sorptivity is a crucial parameter for the modeling of water infiltration into soils. The standard equation used to compute sorptivity from the soil water retention curve, the unsaturated hydraulic conductivity, and initial and final water contents may lead to erroneous estimates due to its complexity. This study proposes a new straightforward scaling procedure for estimations of sorptivity for four famous and commonly used hydraulic models.
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Short summary
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Contaminant transport in soils is known to be affected by soil heterogeneities such as macropores. The transport properties of heterogeneous porous media can be studied in laboratory columns. However, the results reported in this study (a combination of breakthrough experiments, magnetic resonance imaging and computer simulations of transport) show that these properties can be largely affected by the boundary devices of the columns, thus highlighting the need to take their effect into account.
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Short summary
Sorptivity is one of the most important parameters for quantifying water infiltration into soils. In this study, we propose a mixed formulation that avoids numerical issues and allows for the computation of sorptivity for all types of models chosen for describing the soil hydraulic functions and all initial and final conditions. We show the benefits of using the mixed formulation with regard to modeling water infiltration into soils.
Sorptivity is one of the most important parameters for quantifying water infiltration into...