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Journal ArticleDOI

Field Heterogeneity: Some Basic Issues

J. R. Philip
- 01 Apr 1980 - 
- Vol. 16, Iss: 2, pp 443-448
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TLDR
In this article, the authors consider unsaturated and generally unsteady flow in heterogeneous systems and review the mathematical nature of the flow equation, the concept of scale-heterogeneity, analytical and quasi-analytical solutions.
Abstract
Present-day soil-water physics enables useful quantitative predictions in the laboratory and in simple field situations. Difficulties, however, frequently arise for areas of appreciable size in the field. Known and unknown heterogeneities, on many scales, may vitiate predictions based on theory for homogeneous, or very simple heterogeneous, systems. Two types of heterogeneity are distinguished, deterministic and stochastic. The first often demands an extension of established analyses and may involve important phenomena absent from the analogous homogeneous problem. Stochastic heterogeneity may involve many scales and is imperfectly known. The statistical properties may be stationary, but in more complicated cases, randomness may be embedded in (either known or unknown) systematic trends. Some aspects of unsaturated and generally unsteady flow in heterogeneous systems are reviewed: the mathematical nature of the flow equation; the concept of scale-heterogeneity; analytical and quasi-analytical solutions. The enormity of the total problem of unsaturated unsteady flows in stochastic heterogeneous systems is illustrated through a dialectic of eight successive stages of simplification. The concept of the autocorrelation function governing λ, the internal characteristic length, is introduced; and the problem posed in terms involving the distribution and autocorrelation functions of λ, the reduced potential and conductivity functions, and the initial and boundary conditions as the data, from which it is required to establish distribution functions of various descriptors of the flow. The solution to a grossly simplified example of horizontal absorption is presented. Mean apparent sorptivity decreases rapidly to about one fifth of the mean (and about half the minimum) sorptivity of the component soils. Variation about the mean is very great but decreases as absorption proceeds. The example epitomizes the failure of additivity of properties in stochastic heterogeneous media, which arises because spatial textural changes in either sense tend to reduce unsaturated flow rates.

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Citations
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Journal ArticleDOI

Changing ideas in hydrology — The case of physically-based models

TL;DR: This paper argues that there are fundamental problems in the application of physically-based models for practical prediction in hydrology result from limitations of the model equations relative to a heterogeneous reality; the lack of a theory of subgrid scale integration; practical constraints on solution methodologies; and problems of dimensionality in parameter calibration.
Journal ArticleDOI

Prophecy, reality and uncertainty in distributed hydrological modelling

TL;DR: It is suggested that a post-modernistic hydrology will recognise the uncertainties inherent in hydrological modelling and will focus attention on the value of data in conditioninghydrological prophecies.
Journal ArticleDOI

Stochastic Analysis of Unsaturated Flow in Heterogeneous Soils: 1. Statistically Isotropic Media

TL;DR: In this article, a perturbation approximation of the stochastic flow equation is solved by spectral representation techniques, where the hydraulic conductivity K is related to the capillary pressure head ψ by K = Ks exp (−αψ), where Ks is the saturated conductivity, and α is a soil parameter.
Journal ArticleDOI

Scale and the Nature of Spatial Variability: Field Examples Having Implications for Hydrologic Modeling

TL;DR: In this paper, the authors examine how the nature of spatial variability affects hydrologic response over a range of scales using five field studies as examples, and they have emphasized how that characterization may change with the scale of hydrology model.
Journal ArticleDOI

Unsaturated flow in spatially variable fields: 1. Derivation of models of infiltration and redistribution

TL;DR: In this paper, a simplified solution of vertical flow in a homogeneous column, based on the concept of moving front, is developed, and a statistical procedure for using this solution in a spatially variable field is outlined.
References
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Journal ArticleDOI

Studies on Soil Phyics.

TL;DR: In this article, the authors proposed that the measurement of S, Pα, Pω and K is of more importance than, and should replace, the determination of the sizes of the soil particles as in the usual "mechanical analysis" of soils.
Journal ArticleDOI

The Theory of Infiltration

J. R. Philip
- 01 Jun 1958 - 
TL;DR: In this paper, the theory of secrecy and algebraic inference is used for detecting anomalous soil in Soil Science, and the authors propose a method to detect anomalous soils.
Journal ArticleDOI

A Stochastic-Conceptual Analysis of One-Dimensional Groundwater Flow in Nonuniform Homogeneous Media

TL;DR: In this paper, the effects of stochastic parameter distributions on predicted hydraulic heads are analyzed with the aid of a set of Monte Carlo solutions to the pertinent boundary value problems, and the results show that the standard deviations of the input hydrogeologic parameters, particularly σy and σc, are important index properties; changes in their values lead to different responses for even when the means μy, μc, and μn are fixed.