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1-, 2-, and 3-dimensional effective conductivity of aquifers
Authors:Hugo A. Loaiciga   Roy B. Leipnik   Paul F. Hudak  Miguel A. Marino
Affiliation:(1) Department of Geography and Environmental Studies Program University of California, 93106 Santa Barbara, California;(2) Department of Mathematics, University of California, 93106 Santa Barbara, California;(3) Department of Geography, University of North Texas, 76203 Denton, Texas;(4) Department of Land, Air and Water Resources and Department of Civil Engineering, University of California, 95616 Davis, California
Abstract:Starting with a stochastic differential equation with random coefficients describing steady-state flow, the effective hydraulic conductivity of 1-, 2-, and 3-dimensional aquifers is derived. The natural logarithm of hydraulic conductivity (lnK) is assumed to be heterogeneous, with a spatial trend, and isotropic. The effective conductivity relates the mean specific discharge in an aquifer to the mean hydraulic gradient, thus its importance in predicting Darcian discharge when field data represent mean or average values of conductivity or hydraulic head. Effective conductivity results are presented in exact form in terms of elementary functions after the introduction of special sets of coordinate transformations in two and three dimensions. It was determined that in one, two, and three dimensions, for the type of aquifer heterogeneity considered, the effective hydraulic conductivity depends on: (i) the angle between the gradient of the trend of lnK and the mean hydraulic gradient (which is zero in the one-dimensional situation); (2) (inversely) on the product of the magnitude of the trend gradient of lnK, b, and the correlation scale of lnK, lambda and (3) (proportionally) on the variance of lnK, sgrf2. The productblambda plays a central role in the stability of the results for effective hydraulic conductivity.
Keywords:hydraulic conductivity  aquifer flow  spatial covariance  stochastie groundwater analysis  spectral analysis
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