Articles | Volume 27, issue 7
https://doi.org/10.5194/hess-27-1565-2023
https://doi.org/10.5194/hess-27-1565-2023
Research article
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17 Apr 2023
Research article | Highlight paper |  | 17 Apr 2023

Prediction of the absolute hydraulic conductivity function from soil water retention data

Andre Peters, Tobias L. Hohenbrink, Sascha C. Iden, Martinus Th. van Genuchten, and Wolfgang Durner

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Prediction of absolute unsaturated hydraulic conductivity – comparison of four different capillary bundle models
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Soil water retention and hydraulic conductivity measured in a wide saturation range
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Predicting soil hydraulic properties for binary mixtures – concept and application for constructed Technosols
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Cited articles

Assouline, S. and Or, D.: Conceptual and parametric representation of soil hydraulic properties: A review, Vadose Zone J., 12, 1–20, https://doi.org/10.2136/vzj2013.07.0121, 2013. 
Bear, J.: Dynamics of Fluids in Porous Media, Elsevier, New York, ISBN 0486131807, 1972. 
Brooks, R. H. and Corey, A. T.: Hydraulic properties of porous media. Hydrology Paper No. 3. Civil Engineering Department, Colorado State University, Fort Collins, CO, https://hess.copernicus.org/articles/27/385/2023/hess-27-385-2023.pdf (last access: 14 April 2023), 1964.  
Burdine, N.: Relative permeability calculations from pore size distribution data, J. Petrol. Technol., 5, 71–78, 1953. 
Carman, P. C.: Fluid flow through granular beds, Transactions, Institution of Chemical Engineers, London, 15, 150–166, 1937. 
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Executive editor
The study proposes a new approach to characterize soil hydraulic functions. The novel approach strongly improves simulation results. This is a significant advancement of vadose zone hydrology.
Short summary
The soil hydraulic conductivity function is usually predicted from the water retention curve (WRC) with the requirement of at least one measured conductivity data point for scaling the function. We propose a new scheme of absolute hydraulic conductivity prediction from the WRC without the need of measured conductivity data. Testing the new prediction with independent data shows good results. This scheme can be used when insufficient or no conductivity data are available.