Inverse Modeling of Soil Hydraulic Properties in a Two-Layer System and Comparisons with Measured Soil Conditions

2017 ◽  
Vol 16 (2) ◽  
pp. vzj2016.08.0072
Author(s):  
Nicholas Thomas ◽  
K.E. Schilling ◽  
Antonio Arenas Amado ◽  
Matthew Streeter ◽  
Larry Weber
Keyword(s):  
Inverse Modeling ◽  
Hydraulic Properties ◽  
Soil Conditions ◽  
Soil Hydraulic Properties ◽  
Layer System ◽  
Soil Hydraulic

scholarly journals Inverse estimation of soil hydraulic properties and water repellency following artificially induced drought stress

2018 ◽  
Vol 66 (2) ◽  
pp. 170-180 ◽  
Author(s):  
Vilim Filipović ◽  
Thomas Weninger ◽  
Lana Filipović ◽  
Andreas Schwen ◽  
Keith L. Bristow ◽  
...  
Keyword(s):  
Soil Water ◽  
Inverse Modeling ◽  
Hydraulic Properties ◽  
Global Climate ◽  
Water Repellency ◽  
Irrigation Event ◽  
Water Infiltration ◽  
Soil Hydraulic Properties ◽  
Soil Water Repellency ◽  
Soil Hydraulic

AbstractGlobal climate change is projected to continue and result in prolonged and more intense droughts, which can increase soil water repellency (SWR). To be able to estimate the consequences of SWR on vadose zone hydrology, it is important to determine soil hydraulic properties (SHP). Sequential modeling using HYDRUS (2D/3D) was performed on an experimental field site with artificially imposed drought scenarios (moderately M and severely S stressed) and a control plot. First, inverse modeling was performed for SHP estimation based on water and ethanol infiltration experimental data, followed by model validation on one selected irrigation event. Finally, hillslope modeling was performed to assess water balance for 2014. Results suggest that prolonged dry periods can increase soil water repellency. Inverse modeling was successfully performed for infiltrating liquids, water and ethanol, withR2and model efficiency (E) values both > 0.9. SHP derived from the ethanol measurements showed large differences in van Genuchten-Mualem (VGM) parameters for the M and S plots compared to water infiltration experiments. SWR resulted in large saturated hydraulic conductivity (Ks) decrease on the M and S scenarios. After validation of SHP on water content measurements during a selected irrigation event, one year simulations (2014) showed that water repellency increases surface runoff in non-structured soils at hillslopes.

Estimation of Soil Hydraulic Properties of Basin Loukkos (Morocco) by Inverse Modeling

2019 ◽  
Vol 23 (3) ◽  
pp. 1407-1419 ◽  
Author(s):  
Hachimi Mustapha ◽  
Maslouhi Abdellatif ◽  
Tamoh Karim ◽  
Qanza Hamid
Keyword(s):  
Inverse Modeling ◽  
Hydraulic Properties ◽  
Soil Hydraulic Properties ◽  
Soil Hydraulic

Modeling soil hydraulic properties for a wide range of soil conditions

2008 ◽  
Vol 219 (3-4) ◽  
pp. 300-316 ◽  
Author(s):  
Vincent Balland ◽  
Joseph A.P. Pollacco ◽  
Paul A. Arp
Keyword(s):  
Hydraulic Properties ◽  
Soil Conditions ◽  
Soil Hydraulic Properties ◽  
Wide Range ◽  
Soil Hydraulic

scholarly journals Bayesian Inversion of Soil Hydraulic Properties from Simplified Evaporation Experiments: Use of DREAM(ZS) Algorithm

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2614
Author(s):  
Xinghui Wang ◽  
Xu-sheng Wang ◽  
Na Li ◽  
Li Wan
Keyword(s):  
Inverse Modeling ◽  
Hydraulic Properties ◽  
Evaporation Rate ◽  
Likelihood Function ◽  
Pressure Head ◽  
Soil Hydraulic Properties ◽  
Parameter Uncertainties ◽  
Soil Hydraulic ◽  
Stage 1 ◽  
Better Than

There is an increasing interest in identifying soil hydraulic properties from simplified evaporation experiments. However, the conventional simplified evaporation method includes a deficit due to using the linear assumption and not accounting for uncertainty in parameters. A suggested alternative method is assessing the parameter uncertainties through inverse modeling. We examined the combination of a Bayesian inverse method, namely, DREAM(ZS), and a numerical simulation model, namely, HYDRUS-1D, for parameter inversion with data in simplified evaporation experiments. The likelihood function could be conditioned only on pressure head observations (single-objective (SO)), or on both pressure head and evaporation rate observations (multi-objective (MO)), with different treatments on the top boundary condition. Three synthetic numerical experiments were generated in terms of the soil types of sand, loam and clay to verify the inverse modeling method. The MO approach performed better than the SO approach and linear assumption when the stage 1 evaporation rate was kept constant. However, the SO inversion was more robust when oscillations existed in the potential evaporation rate. Then, the SO inverse modeling was adopted to investigate two real experiments on loamy-sand soils and compared with the linear assumption. The linear assumption could be reliable for wet conditions with stage 1 evaporation but was not always useable for a relatively dry condition, such as that with stage 2 evaporation. The inverse modeling could be more successful in capturing the whole evaporation process of soils when both stage 1 and stage 2 were involved.

scholarly journals Soil Hydraulic Properties Determined by Inverse Modeling of Drip Infiltrometer Experiments Extended with Pedotransfer Functions

2019 ◽  
Vol 18 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Ali Mehmandoost Kotlar ◽  
Ioannis Varvaris ◽  
Quirijn Jong van Lier ◽  
Lis Wollesen de Jonge ◽  
Per Møldrup ◽  
...  
Keyword(s):  
Inverse Modeling ◽  
Hydraulic Properties ◽  
Pedotransfer Functions ◽  
Soil Hydraulic Properties ◽  
Soil Hydraulic
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