Inverse Dual-Permeability Modeling of Preferential Water Flow in a Soil Column and Implications for Field-Scale Solute Transport

2006 ◽  
Vol 5 (1) ◽  
pp. 59-76 ◽  
Author(s):  
J. Maximilian Köhne ◽  
Binayak P. Mohanty ◽  
Jirka Šimůnek
Keyword(s):  
Solute Transport ◽  
Water Flow ◽  
Soil Column ◽  
Field Scale ◽  
Permeability Modeling ◽  
Preferential Water

The Daisy agroecological system model: A physically based model for preferential water flow and solute transport in drained agricultural fields

2021 ◽  
Author(s):  
Efstathios Diamantopoulos ◽  
Maja Holbak ◽  
Per Abrahamsen
Keyword(s):  
Solute Transport ◽  
Water Flow ◽  
Preferential Flow ◽  
Column Experiment ◽  
Soil Matrix ◽  
Physically Based Model ◽  
Physically Based ◽  
Rapid Transport ◽  
Preferential Water

<p>Preferential water flow and solute transport in agricultural systems affects not only the quality of groundwater but also the quality of surface waters like streams and lakes. This is due to the rapid transport of agrochemicals, immediately after application, through subsurface drainpipes and surface water. Experimental evidence attributes this to the occurrence of continuously connected pathways, connecting the soil surface directly with the drainpipes. We developed a physically-based model describing preferential flow and transport in biopores and implemented it in the agroecological model Daisy. The model simulates the often observed rapid transport of chemicals from   the upper soil layers to the drainpipes or to deeper layers of the soil matrix. Based on field investigations, biopores with specific characteristics can be parameterized as classes with different vertical and horizontal distributions. The model was tested against experimental data from a column experiment with an artificial biopore and showed good results in simulating preferential flow dynamics. We illustrate the performance of the new approach, by conducting five simulations assuming a two-dimensional simulation domain with different biopore parametrizations, from none to several different classes. The simulation results agreed with experimental observations reported in the literature, indicating rapid transport from the soil to the drainpipes. Furthermore, the different biopore parametrizations resulted in distinctly different leaching patterns, raising the expectation that biopore properties could be estimated or constrained based on observed leaching data and direct measurements.</p>

Simulated Preferential Water Flow and Solute Transport in Shrinking Soils

2015 ◽  
Vol 14 (9) ◽  
pp. vzj2015.02.0021 ◽  
Author(s):  
Antonio Coppola ◽  
Alessandro Comegna ◽  
Giovanna Dragonetti ◽  
Horst H. Gerke ◽  
Angelo Basile
Keyword(s):  
Solute Transport ◽  
Water Flow ◽  
Preferential Water

scholarly journals Comparison between field measurements and numerical simulation of steady-state solute transport in a heterogeneous soil profile

1997 ◽  
Vol 1 (4) ◽  
pp. 853-871 ◽  
Author(s):  
J. Vanderborght ◽  
D. Jacques ◽  
D. Mallants ◽  
P.-H. Tseng ◽  
J. Feyen
Keyword(s):  
Solute Transport ◽  
Water Flow ◽  
Random Fields ◽  
Hydraulic Properties ◽  
Soil Hydraulic Properties ◽  
Field Scale ◽  
Flow Heterogeneity ◽  
Heterogeneous Soil ◽  
Soil Hydraulic ◽  
Second Procedure

Abstract. Abstract: Field-scale solute dispersion is determined by water flow heterogeneity which results from spatial variability of soil hydraulic properties and soil moisture state. Measured variabilities of soil hydraulic properties are highly sensitive to the experimental method. Field-scale dispersion derived from leaching experiments in a macroporous loam soil was compared with field-scale dispersion obtained with numerical simulations in heterogeneous random fields. Four types of random fields of hydraulic properties having statistical properties derived from four different types of laboratory measurements were considered. Based on this comparison, the measurement method depicting heterogeneities of hydraulic properties most relevant to field-scale solute transport was identified. For unsaturated flow, the variability of the hydraulic conductivity characteristic measured on a small soil volume was the most relevant parameter. For saturated flow, simulated dispersion underestimated the measured dispersion and it was concluded that heterogeneity of macroscopic hydraulic properties could not represent solute flow heterogeneity under these flow conditions. Field-scale averaged solute concentrations depend both on the detection method and the averaging procedure. Flux-averaged concentrations (relevant to practical applications) differ from volume-averaged or resident concentrations (easy to measure), especially when water flow is more heterogeneous. Simulated flux and resident concentrations were subsequently used to test two simple one-dimensional transport models in predicting flux concentrations when they are calibrated on resident concentrations. In the first procedure, solute transport in a heterogeneous soil is represented by a 1-D convection dispersion process. The second procedure was based on the relation between flux and resident concentrations for a stochastic convective process. Better predictions of flux concentrations were obtained using the second procedure, especially when water flow and solute transport are very heterogeneous.

Darcian preferential water flow and solute transport through bimodal porous systems: Experiments and modelling

2009 ◽  
Vol 104 (1-4) ◽  
pp. 74-83 ◽  
Author(s):  
Antonio Coppola ◽  
Vincenzo Comegna ◽  
Angelo Basile ◽  
Nicola Lamaddalena ◽  
Gerardo Severino
Keyword(s):  
Solute Transport ◽  
Water Flow ◽  
Preferential Water

Calibration of Richards' and convection–dispersion equations to field-scale water flow and solute transport under rainfall conditions

2002 ◽  
Vol 259 (1-4) ◽  
pp. 15-31 ◽  
Author(s):  
Diederik Jacques ◽  
Jirka Šimůnek ◽  
Anthony Timmerman ◽  
Jan Feyen
Keyword(s):  
Solute Transport ◽  
Water Flow ◽  
Field Scale ◽  
Dispersion Equations
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