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- MakaleAçık Erişim2023Scopus SJRQ1Mixed formulation for an easy and robust numerical computation of sorptivity
Lassabatere, Laurent; Peyneau, Pierre-Emmanuel; Yilmaz, Deniz; Pollacco, Joseph; Fernández-Gálvez, Jesús; Latorre, Borja; Moret-Fernández, David; Di Prima, Simone; Rahmati, Mehdi; Stewart, Ryan D.
Sorptivity is one of the most important parameters for the quantification of water infiltration into soils. proposed a specific formulation to derive sorptivity as a function of the soil water retention and hydraulic conductivity functions, as well as initial and final soil water contents. However, this formulation requires the integration of a function involving hydraulic diffusivity, which may be undefined or present numerical difficulties that cause numerical misestimations. In this study, we propose a mixed formulation that scales sorptivity and splits the integrals into two parts: the first term involves the scaled degree of saturation, while the second involves the scaled water pressure head. The new mixed formulation is shown to be robust and well-suited to any type of hydraulic function - even with infinite hydraulic diffusivity or positive air-entry water pressure heads - and any boundary condition, including infinite initial water pressure head, h→-∞. Lastly, we show the benefits of using the proposed formulation for modeling water into soil with analytical models that use sorptivity. Copyright:
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İncele - MakaleAçık Erişim2021Scopus SJRQ1BEST-WR: An adapted algorithm for the hydraulic characterization of hydrophilic and water-repellent soils
Di Prima, Simone; Stewart, Ryan D.; Abou Najm, Majdi R.; Ribeiro Roder, Ludmila; Giadrossich, Filippo; Campus, Sergio; Angulo-Jaramillo, Rafael; Yilmaz, Deniz; Roggero, Pier Paolo; Pirastru, Mario
Water-repellent soils usually experience water flow impedance during the early stage of a wetting process followed by progressive increase of infiltration rate. Current infiltration models are not formulated to describe this peculiar process. Similarly, simplified methods of soil hydraulic characterization (e.g., BEST) are not equipped to handle water-repellent soils. Here, we present an adaptation of the BEST method, named BEST-WR, for the hydraulic characterization of soils at any stage of water-repellency. We modified the Haverkamp explicit transient infiltration model, included in BEST for modeling infiltration data, by embedding a scaling factor describing the rate of attenuation of infiltration rate due to water repellency. The new model was validated using analytically generated data, involving soils with different texture and a dataset that included data from 60 single-ring infiltration tests. The scaling factor was used as a new index to assess soil water repellency in a Mediterranean wooded grassland, where the scattered evergreen oak trees induced more noticeable water repellency under the canopies as compared to the open spaces. The new index produced results in line with those obtained using the water drop penetration time test, which is one of the most widely test applied for quantifying soil water repellency persistence. Finally, we used BEST-WR to determine the hydraulic characteristic curves under both hydrophilic and hydrophobic conditions.
AtıfScopus26OpenAlex26İncele - MakaleAçık Erişim2021Scopus SJRQ1A scaling procedure for straightforward computation of sorptivity
Lassabatere, Laurent; Peyneau, Pierre-Emmanuel; Yilmaz, Deniz; Pollacco, Joseph; Fernández-Gálvez, Jesús; Latorre, Borja; Moret-Fernández, David; Di Prima, Simone; Rahmati, Mehdi; Stewart, Ryan D.
Sorptivity is a parameter of primary importance in the study of unsaturated flow in soils. This hydraulic parameter is required to model water infiltration into vertical soil profiles. Sorptivity can be directly estimated from the soil hydraulic functions (water retention and hydraulic conductivity curves), using the integral formulation of . However, calculating sorptivity in this manner requires the prior determination of the soil hydraulic diffusivity and its numerical integration between initial and final saturation degrees, which may be difficult in some situations (e.g., coarse soil with diffusivity functions that are quasi-infinite close to saturation). In this paper, we present a procedure to compute sorptivity using a scaling parameter, cp, that corresponds to the sorptivity of a unit soil (i.e., unit values for all parameters and zero residual water content) that is utterly dry at the initial state and saturated at the final state. The cp parameter was computed numerically and analytically for five hydraulic models: Delta (i.e., Green and Ampt), Brooks and Corey, van Genuchten-Mualem, van Genuchten-Burdine, and Kosugi. Based on the results, we proposed brand new analytical expressions for some of the models and validated previous formulations for the other models. We also tabulated the output values so that they can easily be used to determine the actual sorptivity value for any case. At the same time, our numerical results showed that the relation between cp and the hydraulic shape parameters strongly depends on the chosen model. These results highlight the need for careful selection of the proper model for the description of the water retention and hydraulic conductivity functions when estimating sorptivity.
AtıfScopus14OpenAlex17İncele - MakaleYalnız künye2019Scopus SJRQ1Assessment of hydraulic properties of technosols using Beerkan and multiple tension disc infiltration methods
Yilmaz, Deniz; Bouarafa, Sofia; Peyneau, Pierre-Emmanuel; Angulo-Jaramillo, Rafael; Lassabatere, Laurent
The increasing global urban sprawl requires large amounts of materials, putting huge pressure on numerous natural resources. In particular, vast quantities of soils are used to create infrastructures or green spaces associated with new developments. Alternative solutions aimed at alleviating soil consumption are thus being encouraged. Creating urban soils by recycling waste from industrial and construction activities is feasible, but apart from their support function the resulting technosols should also be able to provide some ecosystem services such as the capacity to infiltrate water and filter contaminants. Various methods are routinely used for in situ characterization of the hydraulic behaviour of natural soils, but their ability to assess the hydraulic properties of technosols remains unclear. Indeed, technosols formed from recycled waste differ markedly from natural soil because they often contain a considerable proportion of coarse artefacts that affect their structure. In this study, results obtained by two distinct methods (ponding and tension infiltrometry), associated with two data processing methods (Beerkan estimation soil transfer (BEST) and numerical inversion), on a set of infiltration data measured on experimental plots made of technosols have been compared with each other. Both methods provided similar results and thus proved to be reliable when applied to technosols. Highlights: Reuse of by-products from anthropogenic activities is crucial to alleviate the consumption of natural soil. Hydraulic properties of technosols must be monitored to assess some of the ecosystem services they can provide. BEST and numerical inversion of multiple tension disc infiltration data gave consistent results. Reliability of the hydraulic characterization methods used for technosols deserves further inquiry.
AtıfScopus10WoS10OpenAlex12İncele - MakaleAçık Erişim2018Scopus SJRQ1Development and analysis of the Soil Water Infiltration Global database
Rahmati, Mehdi; Weihermüller, Lutz; Vanderborght, Jan; Pachepsky, Yakov A.; Mao, Lili; Sadeghi, Seyed Hamidreza; Moosavi, Niloofar; Kheirfam, Hossein; Montzka, Carsten; Van Looy, Kris
In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (∼76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76ĝ€% of the experimental sites with agricultural land use as the dominant type (∼40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in ∗.xlsx and ∗.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it.
AtıfScopus146OpenAlex169İncele - MakaleAçık Erişim2014Scopus SJRQ1New Analytical Model for Cumulative Infiltration into Dual-Permeability Soils
Lassabatere, Laurent; Yilmaz, Deniz; Peyrard, Xavier; Peyneau, Pierre Emmanuel; Lenoir, Thomas; Simunek, Jiri; Angulo-Jaramillo, Rafael
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