Abstract:[1] Transport processes taking place in natural formations are often characterized by the spatial nonstationarity of flow field and the nonergodic condition of solute spreading. The former may originate from statistical inhomogeneity of porous media properties or from the influence of boundary conditions as well as from conditioning procedures on measured data, while the latter is generally due to the finite size of the solute source. In real-world applications these aspects sometimes dominate the transport ph… Show more
“…The last two terms do not exist for stationary Lagrangian flow fields [7] and for any constant expected value of the velocity field [9,11]. In such cases, the particle displacement variance X ij becomes spatially constant, Eq.…”
Section: Solute Transport In Nonstationary Velocity Fieldmentioning
confidence: 95%
“…In the Lagrangian approach described in Section 2, the solute line source has been simulated by a discrete set of particles, each of them traveling along a path line of the flow field univocally identified by its initial position. A density of 4 particles for each integral scale is used to properly describe the solute line as discussed in Darvini and Salandin [11].…”
Section: Description Of the Approachmentioning
confidence: 99%
“…We briefly recall the derivation of statistical moments of a inert solute plume by the SFEM approach [11].…”
Section: Solute Transport In Nonstationary Velocity Fieldmentioning
confidence: 99%
“…(11) becomes straightforward (e.g. [11]). We focus on the expected value of the second-order spatial moment tensor S ij , that provides the effective dispersion and is computed by ensemble averaging the second moments obtained in each realization.…”
Section: Solute Transport In Nonstationary Velocity Fieldmentioning
confidence: 99%
“…[10,11]). Then, the transport moments of a conservative solute plume are computed from the velocity statistics by a Lagrangian approach limited to the first-order.…”
“…The last two terms do not exist for stationary Lagrangian flow fields [7] and for any constant expected value of the velocity field [9,11]. In such cases, the particle displacement variance X ij becomes spatially constant, Eq.…”
Section: Solute Transport In Nonstationary Velocity Fieldmentioning
confidence: 95%
“…In the Lagrangian approach described in Section 2, the solute line source has been simulated by a discrete set of particles, each of them traveling along a path line of the flow field univocally identified by its initial position. A density of 4 particles for each integral scale is used to properly describe the solute line as discussed in Darvini and Salandin [11].…”
Section: Description Of the Approachmentioning
confidence: 99%
“…We briefly recall the derivation of statistical moments of a inert solute plume by the SFEM approach [11].…”
Section: Solute Transport In Nonstationary Velocity Fieldmentioning
confidence: 99%
“…(11) becomes straightforward (e.g. [11]). We focus on the expected value of the second-order spatial moment tensor S ij , that provides the effective dispersion and is computed by ensemble averaging the second moments obtained in each realization.…”
Section: Solute Transport In Nonstationary Velocity Fieldmentioning
confidence: 99%
“…[10,11]). Then, the transport moments of a conservative solute plume are computed from the velocity statistics by a Lagrangian approach limited to the first-order.…”
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