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Connectivity and single/dual domain transport models: tests on a point-bar/channel aquifer analogue
Authors:Diana Dell’Arciprete  Chiara Vassena  Fulvia Baratelli  Mauro Giudici  Riccardo Bersezio  Fabrizio Felletti
Institution:1. Dipartimento di Scienze della Terra “A. Desio”, Università degli Studi di Milano, via Cicognara 7, 20129, Milano, Italy
2. Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, 20133, Milano, Italy
3. CINFAI - Consorzio per la Fisica delle Atmosfere e delle Idrosfere, Piazza Niccolò Mauruzi 17, 62029, Tolentino (MC), Italy
4. CNR-IDPA (Consiglio Nazionale delle Ricerche, Istituto per la Dinamica dei Processi Ambientali), via Mario Bianco 9, 20131, Milano, Italy
5. Dipartimento di Scienze della Terra “A. Desio”, Università degli Studi di Milano, via Mangiagalli 34, 20133, Milano, Italy
Abstract:In porous aquifers, groundwater flow and solute transport strongly depend on the sedimentary facies distribution at fine scale, which determines the heterogeneity of the conductivity field; in particular, connected permeable sediments could form preferential flow paths. Therefore, properly defined statistics, e.g. total and intrinsic facies connectivity, should be correlated with transport features. In order to improve the assessment of the relevance of this relationship, some tests are conducted on two ensembles of equiprobable realizations, obtained with two different geostatistical simulation methods—sequential indicator simulation and multiple point simulation (MPS)—from the same dataset, which refers to an aquifer analogue of sediments deposited in a fluvial point-bar/channel association. The ensembles show different features; simulations with MPS are more structured and characterised by preferential flow paths. This is confirmed by the analysis of transport connectivities and by the interpretation of data from numerical experiments of conservative solute transport with single and dual domain models. The use of two ensembles permits (1) previous results obtained for single realizations to be consolidated on a more firm statistical basis and (2) the application of principal component analysis to assess which quantities are statistically the most relevant for the relationship between connectivity indicators and flow and transport properties.
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