Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/174983
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dc.contributor.authorValhondo, Cristinaes_ES
dc.contributor.authorMartínez-Landa, Lurdeses_ES
dc.contributor.authorHidalgo, Juan J.es_ES
dc.contributor.authorTubau, Isabeles_ES
dc.contributor.authorDe-Pourcq, Katrienes_ES
dc.contributor.authorGrau-Martínez, Albaes_ES
dc.contributor.authorAyora, Carloses_ES
dc.date.accessioned2019-01-31T07:16:30Z-
dc.date.available2019-01-31T07:16:30Z-
dc.date.issued2016-10-18-
dc.identifier.citationHydrology and Earth System Sciences 20 (10): 4209-4221 (2016)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/174983-
dc.description.abstractArtificial recharge of aquifers is a technique for improving water quality and increasing groundwater resources. Understanding the fate of a potential contaminant requires knowledge of the residence time distribution (RTD) of the recharged water in the aquifer beneath. A simple way to obtain the RTDs is to perform a tracer test. We performed a pulse injection tracer test in an artificial recharge system through an infiltration basin to obtain the breakthrough curves, which directly yield the RTDs. The RTDs turned out to be very broad and we used a numerical model to interpret them, to characterize heterogeneity, and to extend the model to other flow conditions. The model comprised nine layers at the site scaled to emulate the layering of aquifer deposits. Two types of hypotheses were considered: homogeneous (all flow and transport parameters identical for every layer) and heterogeneous (diverse parameters for each layer). The parameters were calibrated against the head and concentration data in both model types, which were validated quite satisfactorily against 1,1,2-Trichloroethane and electrical conductivity data collected over a long period of time with highly varying flow conditions. We found that the broad RTDs can be attributed to the complex flow structure generated under the basin due to three-dimensionality and time fluctuations (the homogeneous model produced broad RTDs) and the heterogeneity of the media (the heterogeneous model yielded much better fits). We conclude that heterogeneity must be acknowledged to properly assess mixing and broad RTDs, which are required to explain the water quality improvement of artificial recharge basins. © Author(s) 2016.es_ES
dc.description.sponsorshipThis work was funded by the U.S. Federal Aviation Administration (FAA) Office of Environment and Energy as a part of ASCENT Project 13-C-AJFE-GIT-008 under FAA Award No. 27A.es_ES
dc.language.isoenges_ES
dc.publisherCopernicus Publicationses_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.subjectGroundwateres_ES
dc.subjectAquiferses_ES
dc.subjectWater qualityes_ES
dc.subjectGroundwater resourceses_ES
dc.subjectGroundwater pollutiones_ES
dc.subjectHydrogeologyes_ES
dc.subjectRadioactive tracerses_ES
dc.subjectRecharging (underground waters)es_ES
dc.titleTracer test modeling for characterizing heterogeneity and local-scale residence time distribution in an artificial recharge sitees_ES
dc.typeartículoes_ES
dc.identifier.doi10.5194/hess-20-4209-2016-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.5194/hess-20-4209-2016es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.contributor.orcidAyora, Carlos [0000-0003-0238-7723]es_ES
item.fulltextWith Fulltext-
item.openairetypeartículo-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
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