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Transport of nonreactive solutes in aquifers of random permeability is considered. The local concentration C, which is a random function of space and time, can be modeled through <C> the ensemble mean, and sigma-(2)(c), the variance. Because of the irregular spatial distribution of the concentration, which is a consequence of the spreading and dilution of the solute plume, the uncertainty in the local concentration prediction can be very large, and the mean concentration <C> may not accurately predict the concentration distribution in the field, in particular, the peak concentration. The aim of the present paper is to quantify dilution through the peak concentration by introducing a quantity denoted as Lagrangian concentration (C-L). According to the proposed methodology the combined effects of dispersion, which is ruled by large-scale advection, and dilution, which is a consequence of pore-scale dispersion, are analyzed by following each Darcy-scale solute particle constituting the initial plume by focusing on the mass exchanges between the examined particle and the surrounding ones. After definition and derivation of C-L and its statistical moments, illustrative examples are shown for a small solute injection. Then the comparison of the theoretical results with the Borden and Cape Cod experimental findings shows that the Lagrangian concentration gives a reasonable prediction of the peak concentration: conversely, the often employed mean concentration <C> underestimates the maximum concentration. Furthermore, the fluctuations of C-L are also smaller than those for C, as indicated by the analysis of the variance. The results are of some importance for applications in which the environmental regulations are formulated in terms of maximal admissible local concentrations.
Fiori, A. (2001). The Lagrangian concentration approach for determining dilution in aquifer transport: Theoretical analysis and comparison with field experiments RID A-2321-2010. WATER RESOURCES RESEARCH, 37(12), 3105-3114 [10.1029/2001WR000228].
The Lagrangian concentration approach for determining dilution in aquifer transport: Theoretical analysis and comparison with field experiments RID A-2321-2010
Transport of nonreactive solutes in aquifers of random permeability is considered. The local concentration C, which is a random function of space and time, can be modeled through the ensemble mean, and sigma-(2)(c), the variance. Because of the irregular spatial distribution of the concentration, which is a consequence of the spreading and dilution of the solute plume, the uncertainty in the local concentration prediction can be very large, and the mean concentration may not accurately predict the concentration distribution in the field, in particular, the peak concentration. The aim of the present paper is to quantify dilution through the peak concentration by introducing a quantity denoted as Lagrangian concentration (C-L). According to the proposed methodology the combined effects of dispersion, which is ruled by large-scale advection, and dilution, which is a consequence of pore-scale dispersion, are analyzed by following each Darcy-scale solute particle constituting the initial plume by focusing on the mass exchanges between the examined particle and the surrounding ones. After definition and derivation of C-L and its statistical moments, illustrative examples are shown for a small solute injection. Then the comparison of the theoretical results with the Borden and Cape Cod experimental findings shows that the Lagrangian concentration gives a reasonable prediction of the peak concentration: conversely, the often employed mean concentration underestimates the maximum concentration. Furthermore, the fluctuations of C-L are also smaller than those for C, as indicated by the analysis of the variance. The results are of some importance for applications in which the environmental regulations are formulated in terms of maximal admissible local concentrations.
Fiori, A. (2001). The Lagrangian concentration approach for determining dilution in aquifer transport: Theoretical analysis and comparison with field experiments RID A-2321-2010. WATER RESOURCES RESEARCH, 37(12), 3105-3114 [10.1029/2001WR000228].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/154565
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Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
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