BEST-WR: An adapted algorithm for the hydraulic characterization of hydrophilic and water-repellent soils

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dc.contributor.authorDi Prima, Simoneen
dc.contributor.authorStewart, Ryan D.en
dc.contributor.authorAbou Najm, Majdi R.en
dc.contributor.authorRibeiro Roder, Ludmilaen
dc.contributor.authorGiadrossich, Filippoen
dc.contributor.authorCampus, Sergioen
dc.contributor.authorAngulo-Jaramillo, Rafaelen
dc.contributor.authorYilmaz, Denizen
dc.contributor.authorRoggero, Pier Paoloen
dc.contributor.authorPirastru, Marioen
dc.contributor.authorLassabatere, Laurenten
dc.date.accessioned2021-10-12T14:21:15Zen
dc.date.available2021-10-12T14:21:15Zen
dc.date.issued2021-12-01en
dc.date.updated2021-10-12T14:21:04Zen
dc.description.abstractWater-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.en
dc.description.versionPublished versionen
dc.format.extentPages 126936-126936en
dc.format.mimetypeapplication/pdfen
dc.identifier126936 (Article number)en
dc.identifier.doihttps://doi.org/10.1016/j.jhydrol.2021.126936en
dc.identifier.issn0022-1694en
dc.identifier.orcidStewart, Ryan [0000-0002-9700-0351]en
dc.identifier.urihttp://hdl.handle.net/10919/105259en
dc.identifier.volume603en
dc.language.isoenen
dc.publisherElsevieren
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectEnvironmental Engineeringen
dc.titleBEST-WR: An adapted algorithm for the hydraulic characterization of hydrophilic and water-repellent soilsen
dc.title.serialJournal of Hydrologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJournal Articleen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Durelle Scotten
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/School of Plant and Environmental Sciencesen

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