A simulation model for the description of the one-dimensional vertical soil water flow in the unsaturated zone

1994 ◽  
Vol 75-76 ◽  
pp. 269-278 ◽  
Author(s):  
Dirk Bornhöft
Keyword(s):  
Simulation Model ◽  
Soil Water ◽  
Water Flow ◽  
Unsaturated Zone ◽  
One Dimensional ◽  
Soil Water Flow ◽  
The One

Predicting Solute Transport in Soil Water Flow with Estimated, Effective Material Properties

2021 ◽  
Author(s):  
Lukas Riedel ◽  
Hannes Helmut Bauser ◽  
Robert Maiwald ◽  
Santiago Ospina De Los Ríos
Keyword(s):  
Solute Transport ◽  
Soil Water ◽  
Water Flow ◽  
Material Properties ◽  
Hydrological Process ◽  
Two Dimensional ◽  
One Dimensional ◽  
Solute Fluxes ◽  
Soil Water Flow ◽  
Soil Hydraulic

<div> <div>Soil water flow is a key hydrological process supporting several ecosystem services. The non-linear soil hydraulic material properties have a profound influence on the flow dynamics and cannot be measured directly. They can be estimated with data assimilation based on measurements of the soil hydraulic state. As soils feature a multi-scale architecture, these measurements typically cannot resolve the soil heterogeneity on the relevant spatial and estimating it becomes difficult. In a previous study, we estimated a one-dimensional effective representation of a synthetic, two-dimensional, heterogeneous domain based on a vertical measurement profile using an ensemble Kalman filter. The estimated one-dimensional model represented the dynamics of the soil water movement sufficiently well, but it remained unclear if these results can be transferred to associated physical processes.</div> <br><div>Soil water flow also transports solutes between surface and groundwater. The accurate description of solute fluxes and concentrations is crucial for predicting groundwater quality and contamination. In this study, we use the aforementioned estimated, one-dimensional representation of the domain to simulate and forecast passive solute transport within the soil water flow. We examine its predictive capabilities by comparing these results with results obtained from the two-dimensional, heterogeneous synthetic truth from which artificial measurements are extracted.</div> </div>

scholarly journals Effective saturation-based weighting for interblock hydraulic conductivity in unsaturated zone soil water flow modelling using one-dimensional vertical finite-difference model

2019 ◽  
Vol 22 (2) ◽  
pp. 423-439
Author(s):  
Mohanasundaram Shanmugam ◽  
G. Suresh Kumar ◽  
Balaji Narasimhan ◽  
Sangam Shrestha
Keyword(s):  
Hydraulic Conductivity ◽  
Finite Difference ◽  
Soil Water ◽  
Unsaturated Zone ◽  
Estimation Methods ◽  
Richards Equation ◽  
Difference Model ◽  
One Dimensional ◽  
Soil Water Flow ◽  
Effective Saturation

Abstract Richards equation is solved for soil water flow modeling in the unsaturated zone continuum. Interblock hydraulic conductivities, while solving for Richards equation, are estimated by some sort of averaging process based on upstream and downstream nodes hydraulic conductivity values. The accuracy of the interblock hydraulic conductivity estimation methods mainly depends on the distance between two adjacent discretized nodes. In general, the accuracy of the numerical solution of the Richards equation decreases as nodal grid discretization increases. Conventional interblock hydraulic conductivity estimation methods are mostly mere approximation approaches while the Darcian-based interblock hydraulic conductivities involve complex calculations and require intensive computation under different flow regimes. Therefore, in this study, we proposed an effective saturation-based weighting approach in the soil hydraulic curve functions for estimating interblock hydraulic conductivity using a one-dimensional vertical finite-difference model which provides a parametric basis for interblock hydraulic conductivity estimation while reducing complexity in the calculation and computational processes. Furthermore, we compared four test case simulation results from different interblock hydraulic conductivity methods with the reference solutions. The comparison results show that the proposed method performance in terms of percentage reduction in root mean square and mean absolute error over other methods compared in this study were 59.5 and 60%, respectively.

scholarly journals Soil water flow due to surface topography in research drainage plots

age ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Sally Logsdon ◽  
Cindy Cambardella
Keyword(s):  
Surface Topography ◽  
Soil Water ◽  
Water Flow ◽  
Soil Water Flow

Data Assimilation with Soil Water Content Sensors and Pedotransfer Functions in Soil Water Flow Modeling

2012 ◽  
Vol 76 (3) ◽  
pp. 829-844 ◽  
Author(s):  
Feng Pan ◽  
Yakov Pachepsky ◽  
Diederik Jacques ◽  
Andrey Guber ◽  
Robert L. Hill
Keyword(s):  
Data Assimilation ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Water Flow ◽  
Pedotransfer Functions ◽  
Flow Modeling ◽  
Soil Water Flow

Unsaturated soil water flow

1983 ◽  
Vol 21 (3) ◽  
pp. 755 ◽  
Author(s):  
Roger E. Smith
Keyword(s):  
Soil Water ◽  
Water Flow ◽  
Unsaturated Soil ◽  
Soil Water Flow

Rainfall Excess Model from Soil Water Flow Theory

1973 ◽  
Vol 99 (9) ◽  
pp. 1337-1351
Author(s):  
Roger E. Smith ◽  
Don L. Chery
Keyword(s):  
Soil Water ◽  
Water Flow ◽  
Flow Theory ◽  
Soil Water Flow
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