Articles | Volume 20, issue 1
https://doi.org/10.5194/hess-20-487-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-487-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jan 2016
Research article |
| 29 Jan 2016
Sensitivity of water stress in a two-layered sandy grassland soil to variations in groundwater depth and soil hydraulic parameters
M. Rezaei
CORRESPONDING AUTHOR
Department of Soil Management, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
Unit Environmental Modelling, Flemish Institute for Technological Research (VITO NV), Boeretang 200, 2400 Mol, Belgium
P. Seuntjens
Department of Soil Management, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
Unit Environmental Modelling, Flemish Institute for Technological Research (VITO NV), Boeretang 200, 2400 Mol, Belgium
Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium
I. Joris
Unit Environmental Modelling, Flemish Institute for Technological Research (VITO NV), Boeretang 200, 2400 Mol, Belgium
W. Boënne
Unit Environmental Modelling, Flemish Institute for Technological Research (VITO NV), Boeretang 200, 2400 Mol, Belgium
S. Van Hoey
Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
P. Campling
Unit Environmental Modelling, Flemish Institute for Technological Research (VITO NV), Boeretang 200, 2400 Mol, Belgium
W. M. Cornelis
Department of Soil Management, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
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Cited
23 citations as recorded by crossref.
- Estimating the actual evapotranspiration and deep percolation in irrigated soils of a tropical floodplain, northwest Ethiopia A. Beyene et al. 10.1016/j.agwat.2018.01.022
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- Soil water distribution and dynamics across prescribed capillary barriers under evaporating surfaces A. Al-Mayahi et al. 10.1016/j.biosystemseng.2022.12.010
- Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil M. Rezaei et al. 10.1016/j.compag.2023.107821
- Modeling root zone water and salt transport using matric flux potential based root water uptake distribution A. Kumar et al. 10.1016/j.jhydrol.2024.130712
- Evaluation of Permeable Brick Pavement on the Reduction of Stormwater Runoff Using a Coupled Hydrological Model X. Fu et al. 10.3390/w12102821
- Artificial recharge efficiency assessment by soil water balance and modelling approaches in a multi-layered vadose zone in a dry region M. Pakparvar et al. 10.1080/02626667.2018.1481962
- Multistep optimization of HyPix model for flexible vertical scaling of soil hydraulic parameters J. Pollacco et al. 10.1016/j.envsoft.2022.105472
- Quasi 3D modelling of vadose zone soil-water flow for optimizing irrigation strategies: Challenges, uncertainties and efficiencies M. Rezaei et al. 10.1016/j.envsoft.2017.03.008
- Determining the spatial distribution of percolation for winter wheat based on system dynamics and semi‐distributed modelling* H. Chen et al. 10.1002/ird.2440
- Unsaturated Soil Hydraulic Properties Identification using Numerical Inversion and In-Situ Experiments from Mnasra Area, Morocco H. Qanza et al. 10.1007/s12205-019-0420-8
- On the use of surrogate-based modeling for the numerical analysis of Low Impact Development techniques G. Brunetti et al. 10.1016/j.jhydrol.2017.03.013
- Horizontal and Vertical Variability of Soil Hydraulic Properties in Roadside Sustainable Drainage Systems (SuDS)—Nature and Implications for Hydrological Performance Evaluation T. Kanso et al. 10.3390/w10080987
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- Predicting saturated hydraulic conductivity in a sandy grassland using proximally sensed apparent electrical conductivity M. Rezaei et al. 10.1016/j.jappgeo.2016.01.010
- Manifestation of spatial and temporal variability of soil hydraulic properties in the uncultivated Fluvisol and performance of hydrological model V. Šípek et al. 10.1016/j.catena.2019.104119
16 citations as recorded by crossref.
- Estimating the actual evapotranspiration and deep percolation in irrigated soils of a tropical floodplain, northwest Ethiopia A. Beyene et al. 10.1016/j.agwat.2018.01.022
- How to relevantly characterize hydraulic properties of saline and sodic soils for water and solute transport simulations M. Rezaei et al. 10.1016/j.jhydrol.2020.125777
- The relevance of measuring saturated hydraulic conductivity: Sensitivity analysis and functional evaluation J. De Pue et al. 10.1016/j.jhydrol.2019.06.079
- Influence of Benggang slope cracks on soil water regimes: Comparison of model simulation and time‐domain reflectometry X. Duan et al. 10.1111/ejss.13302
- Estimation of Soil Hydraulic Properties of Basin Loukkos (Morocco) by Inverse Modeling H. Mustapha et al. 10.1007/s12205-019-0628-7
- Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D T. Saeidi et al. 10.1016/j.geodrs.2023.e00724
- Sensitivitätsanalyse zu Infiltrationsprozessen in Böden G. Brunetti et al. 10.1007/s00506-022-00839-8
- Digital mapping of soil biological properties and wheat yield using remotely sensed, soil chemical data and machine learning approaches V. Jahandideh Mahjenabadi et al. 10.1016/j.compag.2022.106978
- Soil water distribution and dynamics across prescribed capillary barriers under evaporating surfaces A. Al-Mayahi et al. 10.1016/j.biosystemseng.2022.12.010
- Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil M. Rezaei et al. 10.1016/j.compag.2023.107821
- Modeling root zone water and salt transport using matric flux potential based root water uptake distribution A. Kumar et al. 10.1016/j.jhydrol.2024.130712
- Evaluation of Permeable Brick Pavement on the Reduction of Stormwater Runoff Using a Coupled Hydrological Model X. Fu et al. 10.3390/w12102821
- Artificial recharge efficiency assessment by soil water balance and modelling approaches in a multi-layered vadose zone in a dry region M. Pakparvar et al. 10.1080/02626667.2018.1481962
- Multistep optimization of HyPix model for flexible vertical scaling of soil hydraulic parameters J. Pollacco et al. 10.1016/j.envsoft.2022.105472
- Quasi 3D modelling of vadose zone soil-water flow for optimizing irrigation strategies: Challenges, uncertainties and efficiencies M. Rezaei et al. 10.1016/j.envsoft.2017.03.008
- Determining the spatial distribution of percolation for winter wheat based on system dynamics and semi‐distributed modelling* H. Chen et al. 10.1002/ird.2440
7 citations as recorded by crossref.
- Unsaturated Soil Hydraulic Properties Identification using Numerical Inversion and In-Situ Experiments from Mnasra Area, Morocco H. Qanza et al. 10.1007/s12205-019-0420-8
- On the use of surrogate-based modeling for the numerical analysis of Low Impact Development techniques G. Brunetti et al. 10.1016/j.jhydrol.2017.03.013
- Horizontal and Vertical Variability of Soil Hydraulic Properties in Roadside Sustainable Drainage Systems (SuDS)—Nature and Implications for Hydrological Performance Evaluation T. Kanso et al. 10.3390/w10080987
- A comprehensive numerical analysis of the hydraulic behavior of a permeable pavement G. Brunetti et al. 10.1016/j.jhydrol.2016.07.030
- Infiltration characteristics of natural fiber reinforced soil S. Bordoloi et al. 10.1016/j.trgeo.2017.08.007
- Predicting saturated hydraulic conductivity in a sandy grassland using proximally sensed apparent electrical conductivity M. Rezaei et al. 10.1016/j.jappgeo.2016.01.010
- Manifestation of spatial and temporal variability of soil hydraulic properties in the uncultivated Fluvisol and performance of hydrological model V. Šípek et al. 10.1016/j.catena.2019.104119
Saved (preprint)
Latest update: 20 Apr 2024
Short summary
The sensitivity of the combined model (LINGRA-N and HYDRUS-1D) to hydraulic parameters, water stress, crop yield and lower boundary conditions was assessed. We showed that it is sufficient to estimate limited amount of key parameters in optimization strategies. A combined modelling approach could increase water use efficiency (12–22.5 %) and yield (5–7%) by changing irrigation scheduling. Result calls for taking into account weather forecast and soil water content data in precision agriculture.
The sensitivity of the combined model (LINGRA-N and HYDRUS-1D) to hydraulic parameters, water...
