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Journal ArticleDOI

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

R. Allan Freeze
- 01 Oct 1975 - 
- Vol. 11, Iss: 5, pp 725-741
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TLDR
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.
Abstract
The most realistic representation of a naturally occurring porous medium is a stochastic set of macroscopic elements in which the values of the three basic hydrogeologic parameters (hydraulic conductivity K, compressibility α, and porosity n) are defined by frequency distributions. A homogeneous formation under this representation is one in which the frequency distributions do not change through space. All soils and geologic formations, even the ones that are homogeneous, show random variations in the values of the hydrogeological parameters through space; that is, they are nonuniform, and a measure of the nonuniformity is provided by the standard deviation of the frequency distributions. If K and α are log normally distributed and n is normally distributed, and if we define Y = log K and C = log α, then the parameters Y, C, and n can be generated from a multivariate normal density function with means μy, μc, and μn, standard deviations σy, σc, and σn, and correlation coefficients ρyc, ρyn, and ρcn The analysis of groundwater flow in nonuniform media requires a stochastic-conceptual approach in which 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. In this study, two one-dimensional saturated flow problems are analyzed: steady state flow between two specified heads and transient consolidation of a clay layer. The primary output is the statistical distribution of hydraulic head ϕ, through space and time, as indicated by the mean values and their standard deviations Sϕ¯(x, t) 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. The degree of uncertainty associated with hydraulic head predictions increases as the degree of nonuniformity of the porous medium increases. For large values of σy and σc it becomes virtually impossible to obtain meaningful hydraulic head predictions. For transient flow the output distribution of hydraulic head values is almost never normal; in some cases it approaches a uniform distribution. The results of this study throw into question the validity of the hidden assumption that underlies all deterministic groundwater modeling; namely, that it is possible to select a single value for each flow parameter in a homogeneous but nonuniform medium that is somehow representative and hence define an ‘equivalent’ uniform porous medium. For transient flow there may be no way to define an equivalent medium. The fact that nine index parameters rather than three are required to describe a nonuniform geologic formation, the large uncertainties in predicted hydraulic heads for relatively simple flow problems in nonuniform soils, and the contention that there may be no simple way to define an equivalent uniform porous medium all have important implications in the development of groundwater flow theory and in its most fundamental applications.

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Citations
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Journal ArticleDOI

Steady-state discharge into tunnels in formations with random variability and depth–decaying trend of hydraulic conductivity

TL;DR: Using Monte Carlo simulation and information of statistics of heterogeneity, this article evaluated the most likely discharge rate into a tunnel in geologic media with the multi-scale heterogeneity and uncertainty associated with this estimate.
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Stochastic modeling of heterogeneous phreatic aquifers

TL;DR: In this paper, a set of equations for the first and second ensemble moments of hydraulic head and phreatic surface is derived, which allow one to predict the behavior of phreatical aquifers, as well as to assess the uncertainty associated with such predictions.
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Evaluation of hydrogeologic al parameters in heterogeneous porous media

TL;DR: In this article, the authors compare the results of two approaches for the estimation of the global transmissivity of the aquifers in terms of numerical simulations, and show that the results appear to be identical as long as a few rules of interpretation are allowed.
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Uncertainty Quantification of Transient Unsaturated Seepage through Embankment Dams

TL;DR: In this article, the effects of uncertainty in hydraulic conductivity and van Genuchten parameters on transient seepage were investigated using a random number generator coupled with finite element software.
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A multigrid multilevel Monte Carlo method using high-order finite-volume scheme for lognormal diffusion problems

TL;DR: It is shown that a high-order discretization can be used to improve the convergence of a multilevel Monte Carlo method for elliptic partial differential equations with lognormal random coefficients in combination with the multigrid solution method.
References
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Book

Dynamics of fluids in porous media

Jacob Bear
TL;DR: In this paper, the Milieux poreux Reference Record was created on 2004-09-07, modified on 2016-08-08 and the reference record was updated in 2016.
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Statistical Continuum Theories

Journal ArticleDOI

Stochastic dynamic prediction

TL;DR: Stochastic dynamic prediction as mentioned in this paper assumes the laws governing atmospheric behavior are entirely deterministic, but seeks solutions corresponding to probabilistic statements of the initial conditions, thus recognizing the impossibility of exact or sufficiently dense observations.