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dc.contributor.authorKang, Peter K.es_ES
dc.contributor.authorHyman, Jeffrey D.es_ES
dc.contributor.authorShik Han, Weones_ES
dc.contributor.authorDentz, Marcoes_ES
dc.date.accessioned2020-12-16T12:56:36Z-
dc.date.available2020-12-16T12:56:36Z-
dc.date.issued2020-11-
dc.identifier.citationWater Resources Research 56 (11): e2020WR027378 (2020)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/225055-
dc.description.abstractWe study how the interplay between fracture aperture heterogeneity and tracer injection mode controls fluid flow and tracer transport in three‐dimensional (3D) discrete fracture networks (DFNs). The direct 3‐D DFN simulations show that tracer injection mode has substantial effects on tracer spreading across all levels of aperture heterogeneity. The key controlling factor for effective transport is the initial Lagrangian velocity distribution, which is determined by the interplay between injection mode and aperture heterogeneity. The fundamental difference between initial Lagrangian velocity distribution and domain‐scale Eulerian velocity distribution plays a vital role in determining anomalous transport. We effectively capture the observed anomalous transport using an upscaled transport model that incorporates initial velocity distribution, stationary velocity distribution, velocity correlation length, and average advective tortuosity. With the upscaled transport model, we accurately capture the evolution of Lagrangian velocity distribution and predict longitudinal spreading in 3‐D DFN.es_ES
dc.description.sponsorshipPKK acknowledges the College of Science & Engineering at the University of Minnesota and the George and Orpha Gibson Endowment for its generous support of Hydrogeology. PKK and WSH acknowledge a grant from Korea Environment Industry and Technology Institute (KEITI) through Subsurface Environmental Management (SEM) Project, funded by the Korea Ministry of Environment (MOE) (2018002440003). MD acknowledges the support of the European Research Council (ERC) through the project MHetScale (617511), and the support of the Spanish Ministry of Science and Innovation through a Severo Ochoa project (No. CEX2018324 000794‐S), and the project HydroPore (PID2019‐106887GB‐C31). JDH acknowledges support from the LANL LDRD program office Grant 20180621ECR and thanks to the Department of Energy (DOE) Basic Energy Sciences program (LANLE3W1) for support as well.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Geophysical Uniones_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/CEX2018324 000794‐Ses_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019‐106887GB‐C31es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/617511es_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccessen_EN
dc.subjectAnomalous transportes_ES
dc.subjectThree‐Dimensional Discrete Fracture Networkses_ES
dc.titleAnomalous Transport in Three‐Dimensional Discrete Fracture Networks: Interplay Between Aperture Heterogeneity and Injection Modeses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1029/2020WR027378-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1029/2020WR027378es_ES
dc.identifier.e-issn1944-7973-
dc.embargo.terms2021-11-13es_ES
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es_ES
dc.contributor.funderEuropean Research Counciles_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
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeartículo-
item.grantfulltextopen-
item.languageiso639-1en-
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