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| Hauptseite > Publikationsdatenbank > Estimation of macrodispersion by different approximation methods for flow and transport in randomly heterogeneous media |
| Hauptseite > Publikationsdatenbank > Estimation of macrodispersion by different approximation methods for flow and transport in randomly heterogeneous media |
| Journal Article | PreJuSER-46877 |
; ;
2001
Springer Science + Business Media B.V
Dordrecht [u.a.]
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Please use a persistent id in citations: doi:10.1023/A:1010771123844
Abstract: We present two- and three-dimensional calculations for the longitudinal and transverse macrodispersion coefficient for conservative solutes derived by particle tracking in a velocity field which is based on the linearized flow equation. The simulations were performed upto 5000 correlation lengths in order to reach the asymptotic regime. We used a simulation method which does not need any grid and therefore allows simulations of very large transport times and distances.Our findings are compared with results obtained from linearized transport, from Corrsin's Conjecture and from renormalization group methods. All calculations are performed with and without local dispersion. The variance of the logarithm of the hydraulic conductivity field was chosen to be one to investigate realistic model cases.While in two dimensions the linear transport approximation seems to be very good even for this high variance of the logarithmic hydraulic conductivity, in three dimensions renormalization group results are closer to the numerical calculations. Here Dagan's theory and the theory of Gelhar and Axness underestimate the transverse macrodispersion by far. Corrsin's Conjecture always overestimates the transverse dispersion. Local dispersion does not significantly influence the asymptotic behavior of the various approximations examined for two-dimensional and three-dimensional calculations.
Keyword(s): J ; macrodispersion (auto) ; renormalization (auto) ; local dispersion (auto) ; linear theory (auto) ; transport (auto) ; particle tracking (auto)
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