Abstract
A physicomathematical alternative to capillaric modeling of the pore structure of porous media is proposed. With this model, the hydraulic conductivity of porous materials is determined from a ‘pore domain’ characterization of the pore space by using an appropriate conductance theory for estimating the flux contribution of the various components of heterogeneous media. The proposed model is versatile yet mathematically tractable and is capable of analyzing fluid flow through porous materials of widely differing structure including anisotropic and structured media. A comparative study of the predictions of this model with those of a model proposed by E. C. Childs and N. Collis‐George and now widely used in soil science is made for several media. The findings indicate that indiscriminate use of the latter model may be responsible for the gross overpredictions of hydraulic conductivity for some porous materials and also for the reported distortions in the relationships between conductivity and the degree of saturation for some soils.
Keywords
Related Publications
Facile infiltration of semiconducting polymer into mesoporous electrodes for hybrid solar cells
Hybrid composites of semiconducting polymers and metal oxides are promising combinations for solar cells. However, forming a well-controlled nanostructure with bicontinuous inte...
Anomalous Ionic Conductivity Increase in Li<sub>2</sub>S + GeS<sub>2</sub> + GeO<sub>2</sub> Glasses
Numerous studies of the ionic conductivities in oxide-doped chalcogenaide glasses have shown the anomalous result that the ionic conductivity actually increases significantly (b...
The stability of viscous flow between horizontal concentric cylinders
The critical conditions for the formation of Taylor vortices between horizontal concentric cylinders are considered in detail. (1) Where the flow is unidirectional round the ann...
To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales
The concept of data saturation, defined as 'information redundancy' or the point at which no new themes or codes 'emerge' from data, is widely referenced in thematic analysis (T...
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data
Linked data consist of both node attributes, e.g., Preferences, posts and degrees, and links which describe the connections between nodes. They have been widely used to represen...
Publication Info
- Year
- 1972
- Type
- article
- Volume
- 8
- Issue
- 3
- Pages
- 699-706
- Citations
- 87
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1029/wr008i003p00699