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Cited by 1,175

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Hydraulic conductivity estimation for soils with heterogeneous pore structure

Durner, Wolfgang·1994·Water Resources Research

Abstract

The hydraulic conductivity function, which is required to solve the Richards equation, is difficult to measure. Therefore prediction methods are frequently used where the shape of the conductivity function is estimated from the more easily measured water retention characteristic. Errors in conductivity estimations can arise either from an invalidity of the prediction model for a given soil, or from an incorrect description of the retention data. This second error source is particularly important for soils with heterogeneous pore systems that cannot be adequately described by the usually used retention functions. To describe the retention characteristics of such soils, a flexible θ(ψ) function was formed by superimposing unimodal retention curves of the van Genuchten (1980) type. By combining this retention model with the conductivity prediction model of Mualem (1976), conductivity estimations for soils with heterogeneous pore systems are obtained. Estimated conductivities by this model and the classical van Genuchten‐Mualem method can differ by orders of magnitude. Thus reported disagreements between measured and estimated conductivities may in some cases be due to an inadequate description of the retention data rather than due to a failure of the prediction model.

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Metadata

Authors
Durner, W.
Venue
Water Resources Research
Published
1994-02
Volume
30
Issue
2
Pages
211-223
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W1992908444
Cited by
1,175
References
2
FWCI
36.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hydraulic conductivity estimation for soils with heterogeneous pore structure. https://app.cochat.ai/papers/10.1029/93wr02676
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Durner, W. (1994). Hydraulic conductivity estimation for soils with heterogeneous pore structure. Water Resources Research. https://doi.org/10.1029/93wr02676

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