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Transport of a conservative solute takes place by advection and by pore-scale dispersion in a formation of spatially variable logconductivity Y(x) = In K(x). The latter is modeled as a normal stationary random space function, characterized by a few statistical parameters, like the mean <Y>, the variance sigma(Y)(2), the horizontal and vertical integral scales I-h and I-v. The local solute concentration C(x, t), a random function of space and time, is characterized by its statistical moments, like, e.g. the mean <C> and the standard deviation sigma(C). A simplified analysis for determining the concentration uncertainty is proposed. The proposed methodology, valid for nonreactive solutes, is based on a few simplifications, the most important being: (i) large transverse dimensions of the injected plume compared to the logconductivity correlation lengths, (ii) mild heterogeneity of the hydraulic properties, which allows for the use of the first-order analysis, (iii) highly anisotropic formations, and (iv) mean uniform flow. The concentration uncertainty is represented through the coefficient of variation CVC = sigma(C)/<C> at the plume center, where the expected concentration is maximum. Results for CVC are illustrated as function of time and on two dimensionless parameters: Omega = I-v(2)/(I(h)alpha(dT)) and Lambda = L-1/rootA(11)I(h), where L-1 is the longitudinal dimension of the initial plume, A(11) is the longitudinal macro dispersivity, and alpha(dT) is the local transverse dispersivity. Summary graphs lead to a quick and simple estimate of the time-dependent concentration uncertainty, as well as its peak and its setting time (i.e. the time needed to reach the peak coefficient of variation). The methodology and its results can be used to assess the concentration uncertainty at the plume center. The problem is quite important when dealing with contaminant prediction and risk analysis. (C) 2003 Elsevier B.V. All rights reserved.
Fiori, A. (2003). An asymptotic analysis for determining concentration uncertainty in aquifer transport RID A-2321-2010. JOURNAL OF HYDROLOGY, 284(1-4), 1-12 [10.1016/S0022-1694(02)00416-X].
An asymptotic analysis for determining concentration uncertainty in aquifer transport RID A-2321-2010
Transport of a conservative solute takes place by advection and by pore-scale dispersion in a formation of spatially variable logconductivity Y(x) = In K(x). The latter is modeled as a normal stationary random space function, characterized by a few statistical parameters, like the mean , the variance sigma(Y)(2), the horizontal and vertical integral scales I-h and I-v. The local solute concentration C(x, t), a random function of space and time, is characterized by its statistical moments, like, e.g. the mean and the standard deviation sigma(C). A simplified analysis for determining the concentration uncertainty is proposed. The proposed methodology, valid for nonreactive solutes, is based on a few simplifications, the most important being: (i) large transverse dimensions of the injected plume compared to the logconductivity correlation lengths, (ii) mild heterogeneity of the hydraulic properties, which allows for the use of the first-order analysis, (iii) highly anisotropic formations, and (iv) mean uniform flow. The concentration uncertainty is represented through the coefficient of variation CVC = sigma(C)/ at the plume center, where the expected concentration is maximum. Results for CVC are illustrated as function of time and on two dimensionless parameters: Omega = I-v(2)/(I(h)alpha(dT)) and Lambda = L-1/rootA(11)I(h), where L-1 is the longitudinal dimension of the initial plume, A(11) is the longitudinal macro dispersivity, and alpha(dT) is the local transverse dispersivity. Summary graphs lead to a quick and simple estimate of the time-dependent concentration uncertainty, as well as its peak and its setting time (i.e. the time needed to reach the peak coefficient of variation). The methodology and its results can be used to assess the concentration uncertainty at the plume center. The problem is quite important when dealing with contaminant prediction and risk analysis. (C) 2003 Elsevier B.V. All rights reserved.
Fiori, A. (2003). An asymptotic analysis for determining concentration uncertainty in aquifer transport RID A-2321-2010. JOURNAL OF HYDROLOGY, 284(1-4), 1-12 [10.1016/S0022-1694(02)00416-X].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/154641
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simulazione ASN
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.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.