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    Validation of a spatial–temporal soil water movement and plant water uptake model

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    Type
    Article
    Authors
    HEPPELL, J. cc
    PAYVANDI, S.
    ZYGALAKIS, K.C.
    SMETHURST, J.
    FLIEGE, J.
    ROOSE, T.
    KAUST Grant Number
    KUK-C1-013-04
    Date
    2014-06
    Permanent link to this record
    http://hdl.handle.net/10754/600158
    
    Metadata
    Show full item record
    Abstract
    © 2014, (publisher). All rights reserved. Management and irrigation of plants increasingly relies on accurate mathematical models for the movement of water within unsaturated soils. Current models often use values for water content and soil parameters that are averaged over the soil profile. However, many applications require models to more accurately represent the soil–plant–atmosphere continuum, in particular, water movement and saturation within specific parts of the soil profile. In this paper a mathematical model for water uptake by a plant root system from unsaturated soil is presented. The model provides an estimate of the water content level within the soil at different depths, and the uptake of water by the root system. The model was validated using field data, which include hourly water content values at five different soil depths under a grass/herb cover over 1 year, to obtain a fully calibrated system for plant water uptake with respect to climate conditions. When compared quantitatively to a simple water balance model, the proposed model achieves a better fit to the experimental data due to its ability to vary water content with depth. To accurately model the water content in the soil profile, the soil water retention curve and saturated hydraulic conductivity needed to vary with depth.
    Citation
    HEPPELL J, PAYVANDI S, ZYGALAKIS KC, SMETHURST J, FLIEGE J, et al. (2014) Validation of a spatial–temporal soil water movement and plant water uptake model. Géotechnique 64: 526–539. Available: http://dx.doi.org/10.1680/geot.13.P.142.
    Sponsors
    The authors would like to thank the Engineering and Physical Sciences Research Council (EPSRC) for funding J. Smethurst (grant numbers GR/R72341/01 and EP/F063482/01), the Biotechnology and Biological Sciences Research Council (BBSRC) for funding S. Payvandi, The Royal Society University Research Fellowship for funding T. Roose, award no. KUK-C1-013-04 of the King Abdullah University of Science and Technology (KAUST) for funding K. Zygalakis, EPSRC and the Centre for Operational Research, Management Science and Information Systems (CORMSIS) for funding J. Fliege, and EPSRC Complexity DTC for funding J. Heppell (EP/G03690X/1). The authors acknowledge the use of the IRIDIS high-performance computing facility, and associated support services at the University of Southampton, in the completion of this work.
    Publisher
    Thomas Telford Ltd.
    Journal
    Géotechnique
    DOI
    10.1680/geot.13.P.142
    ae974a485f413a2113503eed53cd6c53
    10.1680/geot.13.P.142
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