TY - JOUR
T1 - Stochastic analysis of boundaries effects on head spatial variability in heterogeneous aquifers
T2 - 1. Constant head boundary
AU - Rubin, Yoram
AU - Dagan, Gedeon
PY - 1988/10
Y1 - 1988/10
N2 - The spatial variability of log transmissivity Y and head H in aquifers assumes a major role in determining the solutions of the direct flow problem, as well as of the inverse problem. Investigation of the joint Y, H variability has been cast in the past in numerical and analytic frames. Analytic solutions for the Y, H statistical moments in two dimensions assumed the flow to occur in an unbounded domain. In this study, exact analytical expressions for the Y, H moments are derived, which account for the presence of a given head boundary in a half plane. This result is achieved by a first‐order approximation and for an exponential Y covariance. The result offers the opportunity to examine the effects of boundaries on the semivariogram of H and on the Y, H cross covariance. The assumption of unbounded domain is examined and shown to be accurate at distances larger than two Y integral scales from the boundary. By using conditional probabilities, a general and simple method to estimate the moments close to the boundary is presented. It requires the knowledge of the moments of Y and H in the unbounded domain only. The method is compared with the exact analytic solution, showing excellent results.
AB - The spatial variability of log transmissivity Y and head H in aquifers assumes a major role in determining the solutions of the direct flow problem, as well as of the inverse problem. Investigation of the joint Y, H variability has been cast in the past in numerical and analytic frames. Analytic solutions for the Y, H statistical moments in two dimensions assumed the flow to occur in an unbounded domain. In this study, exact analytical expressions for the Y, H moments are derived, which account for the presence of a given head boundary in a half plane. This result is achieved by a first‐order approximation and for an exponential Y covariance. The result offers the opportunity to examine the effects of boundaries on the semivariogram of H and on the Y, H cross covariance. The assumption of unbounded domain is examined and shown to be accurate at distances larger than two Y integral scales from the boundary. By using conditional probabilities, a general and simple method to estimate the moments close to the boundary is presented. It requires the knowledge of the moments of Y and H in the unbounded domain only. The method is compared with the exact analytic solution, showing excellent results.
UR - http://www.scopus.com/inward/record.url?scp=0024192343&partnerID=8YFLogxK
U2 - 10.1029/WR024i010p01689
DO - 10.1029/WR024i010p01689
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AN - SCOPUS:0024192343
SN - 0043-1397
VL - 24
SP - 1689
EP - 1697
JO - Water Resources Research
JF - Water Resources Research
IS - 10
ER -