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Unformatted text preview: l these cases, σZSALT(x) is non-stationary
with respect to (x) and decreases with (x), as predicted by the theoretical Φ-transform analysis. This
can be seen by comparing the “numerical” and “analytical” (Eq.(55).a) σZSALT(x) curves in Fig. 8. Fig. 7 Standard deviation of ZSALT vs. distance (x) from seashore (sea located at left), obtained by sampling ZSALT fluctuations in the shorewise direction (y). The global value of σZ appears to be about σZ ≈ 1.3 m. Grid: 1000x1000 cells.
Heterogeneity: σlnK = ln10 = 2.30 Modélisation stochastique de l'intrusion saline en 2D plan 69 Fig. 8 Numerical and theoretical σZSALT vs distance from sea (x) for σlnK = 1.60 7 Summary and conclusions We have presented numerical experiments of seawater intrusion based on unconditional simulations
of random permeability fields K(x,y), where K(x,y) represents a depth-averaged permeability. The
effects of planar heterogeneity on the extent and shape of the salt wedge were discussed, and we
presented a statistical study of interface elevation ZSALT(x,y) on a 1 million node grid (single
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- Winter '14
- The Land, In French