scispace - formally typeset
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
Reads0
Chats0
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.

read more

Citations
More filters
Journal ArticleDOI

Nonlinear Expression of Groundwater Head Interval Based on the Perturbation Method

TL;DR: In this paper, the authors predict the spatiotemporal distribution of groundwater heads, which determine the groundwater flow direction and magnitude, in order to investigate the groundwater system's spatio-temporal distribution.
Journal ArticleDOI

Effect of hydraulic conductivity on seawater—fresh water interface motion in coastal aquifers

TL;DR: In this paper, the motion of seawater-freshwater interface was studied for the linearly varying hydraulic conductivity in coastal confined aquifers and the results indicated up to 12% lag in the repulsion of the interface depending on the injection rate as compared to the homogeneous case.

Geostatistical analysis of hydraulic conductivity related data based on core samples from a

TL;DR: In this article, a case study for the geostatistical characterization of the hydraulic conductivity field of a fluvial aquifer is presented, where the experimental distribution of hydraulic conductivities values was obtained from core samples, which were analysed in the laboratory with regard to their grain size distribution.

EXEIS, Expert screening and optimal extraction/injection pumping systems for short-term plume immobilization

TL;DR: In this paper, the EXEIS family of micro-computer based programs for achieving short-term contaminants of plumes from aquifers is presented, which is applicable if contaminated water cannot be extracted from the aquifer and cannot be imported to or exported from the site.
Journal ArticleDOI

Hydrological cycle analysis based on the survey and observation in the granite zone

TL;DR: In this paper, the authors discussed the mutual relationship among groundwater, river flow and outflow based on the tank model and quasi-three-dimensional groundwater flow analyses in the basin using the investigation of hydrogeology and borehole test, the observation of weather and river flow for two years in the granite zone.
References
More filters
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.
Journal ArticleDOI

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.