2003
DOI: 10.1029/2001wr001236
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Uniform steady free surface flow with recharge in heterogeneous porous formations

Abstract: [1] Free surface flow in a randomly heterogeneous medium with recharge is studied in a stochastic setting. A three-dimensional gravitational flow model with sloped mean uniform flow is used to describe flow in a phreatic aquifer experiencing natural gradient flow, far from wells. The model seeks to investigate the effects of medium heterogeneity and recharge on flow on and below the free surface. Statistical moments of free surface position, head, and specific discharge are derived using a first-order approxim… Show more

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Cited by 2 publications
(9 citation statements)
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“…In the case of deterministic constant recharge (R 0 ¼ 0; c ¼ R n cos aÞ, Amir (2003) showed thatĈ u ðk;z; z 0 Þ can be derived analytically by lettingĈ R ðkÞ ¼ 0 in (10). The resulting solution for Cuðr;z; z 0 Þ is the covariance of / conditioned on the value of R. Now considering R to be a random variable, we can assess the effect of recharge measurement error via simple probability distribution theory to show how the variance of head and free-surface position depend on r 2 R the variance of R. The joint density function of / and R; qð/RÞ is equal to qð/jRqRÞ, the product of the conditional density function of / given R and the marginal density function of R. As the marginal density of / is the integral of the joint density qð/; RÞ over all realizations of R, qðuÞ ¼ R qðu RÞ j qðRÞdR, and the variance of head is therefore given by,…”
Section: And ð13þmentioning
confidence: 99%
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“…In the case of deterministic constant recharge (R 0 ¼ 0; c ¼ R n cos aÞ, Amir (2003) showed thatĈ u ðk;z; z 0 Þ can be derived analytically by lettingĈ R ðkÞ ¼ 0 in (10). The resulting solution for Cuðr;z; z 0 Þ is the covariance of / conditioned on the value of R. Now considering R to be a random variable, we can assess the effect of recharge measurement error via simple probability distribution theory to show how the variance of head and free-surface position depend on r 2 R the variance of R. The joint density function of / and R; qð/RÞ is equal to qð/jRqRÞ, the product of the conditional density function of / given R and the marginal density function of R. As the marginal density of / is the integral of the joint density qð/; RÞ over all realizations of R, qðuÞ ¼ R qðu RÞ j qðRÞdR, and the variance of head is therefore given by,…”
Section: And ð13þmentioning
confidence: 99%
“…Since r 2 /c ðzjR n Þ can be reduced to one quadrature when z < 0 and can be calculated analytically on the free surface i.e. when z ¼ 0 as in Amir (2003), we can easily calculate r 2 / (z) on the free-surface yielding,…”
Section: And ð13þmentioning
confidence: 99%
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