Open AccessA Modified Mualem–van Genuchten Formulation for Improved Description of the Hydraulic Conductivity Near Saturation
Author(s) -
Schaap Marcel G.,
Genuchten Martinus Th.
Publication year - 2006
Publication title -
vadose zone journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.036
H-Index - 81
ISSN - 1539-1663
DOI - 10.2136/vzj2005.0005
Subject(s) - hydraulic conductivity , saturation (graph theory) , vadose zone , soil science , conductivity , soil water , water retention , soil texture , environmental science , hydrology (agriculture) , mechanics , mathematics , geotechnical engineering , geology , chemistry , physics , combinatorics
The unsaturated soil hydraulic properties are often described using Mualem–van Genuchten (MVG) type analytical functions. Recent studies suggest several shortcomings of these functions near saturation, notably the lack of second‐order continuity of the soil water retention function at saturation and the inability of the hydraulic conductivity function to account for macroporosity. We present a modified MVG formulation that improves the description of the hydraulic conductivity near saturation. The modified model introduces a small but constant air‐entry pressure ( h s ) into the water retention curve. Analysis of the UNSODA soil hydraulic database revealed an optimal value of −4 cm for h s , more or less independent of soil texture. The modified model uses a pressure dependent piece‐wise linear correction to ensure that deviations between measured and fitted conductivities between pressure heads of 0 and −40 cm were eliminated. A small correction was found necessary between −4 and −40 cm, and a much larger correction was needed between 0 and −4 cm. An average RMSE in log K of only 0.26 remained for a data set of 235 samples. The resulting modified MVG model was found to have small systematic errors across the entire pressure range. The modified model appears well suited for large‐scale vadose zone flow and transport simulations, including inverse modeling studies.