2006
DOI: 10.1007/s00477-006-0078-x
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Numerical method of moments for solute transport in a nonstationary flow field conditioned on hydraulic conductivity and head measurements

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Cited by 5 publications
(3 citation statements)
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References 31 publications
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“…A histogram of the data has a log‐normal shape as is usually the case for such analyses (Bodin et al . 2003; Wu & Hu, 2007), with a clear mode around d = 13 years (= 156 months) [Fig. 7(a)].…”
Section: Resultsmentioning
confidence: 99%
“…A histogram of the data has a log‐normal shape as is usually the case for such analyses (Bodin et al . 2003; Wu & Hu, 2007), with a clear mode around d = 13 years (= 156 months) [Fig. 7(a)].…”
Section: Resultsmentioning
confidence: 99%
“…Because the spatial variations in hydraulic parameters such as hydraulic conductivity, in turn, cause the spatial variation in the pore water velocity, the implication is that the first‐order approximation should be applicable for solute transport in mildly heterogeneous media ( σf2<1; e.g., Gelhar, ; Rubin, ). In addition, the use of the first‐order approximation (Equation ) to evaluate the displacement covariance or travel time statistics has been validated by Monte Carlo simulations for the cases of nonstationary flow field (e.g., Butera & Tanda, , Wu & Hu, ) or radial flow field (e.g., Lu & Zhang, ; Stauffer, Attinger, Zimmermann, & Kinzelbach, ) in heterogeneous media. The results of Monte Carlo simulations in above‐mentioned references indicate that reasonable agreement with those obtained using the first‐order approximation theory for the case of the variance of log‐hydraulic conductivity <1.…”
Section: Discussionmentioning
confidence: 99%
“…Most of the published works deals with the reduction of the uncertainty around the solute prediction (e.g. [15,23,31]). …”
Section: Introductionmentioning
confidence: 99%