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dc.contributor.authorPuyguiraud, Alexandrees_ES
dc.contributor.authorPérez, Lázaro J.es_ES
dc.contributor.authorHidalgo, Juan J.es_ES
dc.contributor.authorDentz, Marcoes_ES
dc.date.accessioned2020-11-16T09:29:08Z-
dc.date.available2020-11-16T09:29:08Z-
dc.date.issued2020-12-
dc.identifier.citationAdvances in Water Resources 146: 103782 (2020)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/222932-
dc.description.abstractWe upscale reactive mixing using effective dispersion coefficients to capture the combined effect of pore-scale heterogeneity and molecular diffusion on the evolution of the mixing interface between two initially segregated dissolved species. Effective dispersion coefficients are defined in terms of the average spatial variance of the solute distribution evolving from a pointlike injection, that is, the transport Green function. We numerically investigate the temporal behavior of the longitudinal effective dispersion coefficients for two porous media of different pore-scale heterogeneity as measured by the statistics of the flow speed, and different Péclet numbers. We find that the effective dispersion coefficients evolve with time, or equivalently travel distance. As the solute samples the pore-scale flow heterogeneity due to advection and transverse diffusion, the effective dispersion coefficients evolve from the value of molecular diffusion to the corresponding hydrodynamic dispersion coefficients. Thus, at times smaller than the diffusion time over a characteristic pore length, the effective dispersion coefficients can be significantly smaller than the hydrodynamic dispersion coefficients. This difference can explain frequently observed mismatches between pore-scale reactive mixing data, and predictions using Darcy scale transport descriptions based on hydrodynamic dispersion coefficients that are constant in time. This suggests that the notion of incomplete mixing on the support scale can be quantified in terms of effective pore-scale dispersion coefficients. We use effective dispersion in order to approximate the transport Green function in terms of a Gaussian-shaped distribution that is characterized by the effective variance. This is approximation is termed dispersive lamella. Based on this representation, we study reactive mixing between two initially segregated solutes. The dispersive lamella approach accurately predicts the evolution of the product mass of an instantaneous bimolecular reaction obtained from direct numerical simulations. This demonstrates that effective dispersion is an accurate measure for width of the mixing interface between the two reacting species. These results shed some new light on pore-scale mixing, the notion of incomplete mixing, and its prediction and upscaling in terms of an effective mixing model.es_ES
dc.description.sponsorshipThis work has been supported by the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ ERC Grant Agreement No. 617511 (MHetScale) and the Spanish Ministry of Science and Innovation through the project HydroPore (PID2019-106887GB-C31). Juan J. Hidalgo acknowledges the support of the Spanish Ministry of Science and Innovation through the Ramon y Cajal program.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/617511es_ES
dc.relationMICIU/ICTI2017-2020/PID2019-106887GB-C31es_ES
dc.relation.isversionofPostprintes_ES
dc.rightsembargoedAccesses_ES
dc.subjectEffective dispersiones_ES
dc.subjectMixinges_ES
dc.subjectUpscalinges_ES
dc.subjectIncomplete mixinges_ES
dc.subjectLamellar mixinges_ES
dc.subjectReactive mixinges_ES
dc.titleEffective dispersion coefficients for the upscaling of pore-scale mixing and reactiones_ES
dc.typeartículoes_ES
dc.identifier.doihttp://dx.doi.org/10.1016/j.advwatres.2020.103782-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.advwatres.2020.103782es_ES
dc.embargo.terms2022-12-01es_ES
dc.contributor.funderEuropean Research Counciles_ES
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000781es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100004837es_ES
dc.contributor.orcidDentz, Marco [0000-0002-3940-282X]es_ES
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