Water distribution in an arid zone soil: Numerical analysis of data from a large weighing lysimeter

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dc.contributor.authorDijkema, J.
dc.contributor.authorKoonce, J. E.
dc.contributor.authorShillito, R. M.
dc.contributor.authorGhezzehei, T. A.
dc.contributor.authorBerli, M.
dc.contributor.authorVan Der Ploeg, M. J.
dc.contributor.authorVan Genuchten, M. Th. [UNESP]
dc.contributor.institutionDesert Research Institute
dc.contributor.institutionWageningen Univ
dc.contributor.institutionUniv. of California
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUtrecht Univ
dc.date.accessioned2018-12-11T16:52:41Z
dc.date.available2018-12-11T16:52:41Z
dc.date.issued2018-03-01
dc.description.abstractAlthough desert soils cover approximately one third of the Earth’s land surface, surprisingly little is known about their physical properties and how those properties affect the ecology and hydrology of arid environments. The main goal of this study was to advance our understanding of desert soil hydrodynamics. For this purpose, we developed a process-based component within HYDRUS-1D to describe the moisture dynamics of an arid zone soil as a function of water fluxes through the soil surface. A modified van Genuchten model for the dry end of the soil water retention curve was developed to better capture the basic flow processes for very dry conditions. A scaling method was further used to account for variabilities in water retention because of changes in the bulk density vs. depth. The model was calibrated and validated using hourly soil moisture, temperature, and mass data from a 3-m-deep weighing lysimeter of the Scaling Environmental Processes in Heterogeneous Arid Soils facility at the Desert Research Institute (Las Vegas, NV). Measurements and simulations during a 1-yr period agreed better under precipitation (wetting) than under evaporation (drying) conditions. Evaporation was better simulated for wet than for dry soil surface conditions. This was probably caused by vapor-phase exchange processes with the atmosphere, which were unaccounted for and need to be further explored. Overall, the model provides a promising first step toward developing a more realistic numerical tool to quantify the moisture dynamics of arid ecosystems and their role in climate change, plant growth, erosion, and recharge patterns.en
dc.description.affiliationDivision of Hydrologic Sciences Desert Research Institute
dc.description.affiliationDep. of Environmental Sciences Soil Physics and Land Management Group Wageningen Univ
dc.description.affiliationDep. of Life and Environmental Sciences Univ. of California
dc.description.affiliationCenter for Environmental Studies CEA São Paulo State Univ UNESP
dc.description.affiliationDep. of Earth Sciences Utrecht Univ
dc.description.affiliationUnespCenter for Environmental Studies CEA São Paulo State Univ UNESP
dc.description.sponsorshipNational Science Foundation
dc.description.sponsorshipIdNational Science Foundation: EPS-0447416
dc.description.sponsorshipIdNational Science Foundation: IIA-1301726
dc.identifierhttp://dx.doi.org/10.2136/vzj2017.01.0035
dc.identifier.citationVadose Zone Journal, v. 17, n. 1, 2018.
dc.identifier.doi10.2136/vzj2017.01.0035
dc.identifier.issn1539-1663
dc.identifier.scopus2-s2.0-85044723420
dc.identifier.urihttp://hdl.handle.net/11449/170854
dc.language.isoeng
dc.relation.ispartofVadose Zone Journal
dc.relation.ispartofsjr1,047
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.titleWater distribution in an arid zone soil: Numerical analysis of data from a large weighing lysimeteren
dc.typeArtigo

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