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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:22:46Z</responseDate> <request identifier=oai:HAL:insu-00373698v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:insu-00373698v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdu</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:GR</setSpec> <setSpec>collection:GM</setSpec> <setSpec>collection:UNIV-RENNES1</setSpec> <setSpec>collection:OSUR</setSpec> <setSpec>collection:AGROPOLIS</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:INSU</setSpec> <setSpec>collection:GR9</setSpec> <setSpec>collection:UR1-HAL</setSpec> <setSpec>collection:UR1-SDLM</setSpec> <setSpec>collection:UR1-SDLMJONCH</setSpec> <setSpec>collection:GR-DIMENV</setSpec> <setSpec>collection:OSUR-OSU</setSpec> <setSpec>collection:B3ESTE</setSpec> <setSpec>collection:UNIV-MONTPELLIER</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Non-Fickian dispersion in porous media : 2. Model validation from measurements at different scales</title> <creator>Le Borgne, Tanguy</creator> <creator>Gouze, Philippe</creator> <contributor>Géosciences Rennes (GR) ; Université de Rennes 1 (UR1) - Institut national des sciences de l'Univers (INSU - CNRS) - Centre Armoricain de Recherches en Environnement - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor> <description>International audience</description> <source>ISSN: 0043-1397</source> <source>EISSN: 1944-7973</source> <source>Water Resources Research</source> <publisher>American Geophysical Union</publisher> <identifier>insu-00373698</identifier> <identifier>https://hal-insu.archives-ouvertes.fr/insu-00373698</identifier> <identifier>https://hal-insu.archives-ouvertes.fr/insu-00373698/document</identifier> <identifier>https://hal-insu.archives-ouvertes.fr/insu-00373698/file/Borgne_et_al-2008-Water_Resources_Research.pdf</identifier> <source>https://hal-insu.archives-ouvertes.fr/insu-00373698</source> <source>Water Resources Research, American Geophysical Union, 2008, 44, pp.W06427. 〈10.1029/2007WR006279〉</source> <identifier>DOI : 10.1029/2007WR006279</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1029/2007WR006279</relation> <language>en</language> <subject>[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>We aim at testing and validating a mobile-immobile mass transfer model from a set of single-well injection withdrawal tracer tests in a heterogeneous porous aquifer. By varying the duration of the injection phase, different volumes of aquifer are investigated by the tracer. Hence, we focus the transport model validation not only on reproducing a single breakthrough curve (BTC) but also on the model's capacity to predict the amount of mixing as a function of the volume visited by the tracer. All the BTCs are strongly asymmetric, as expected when dispersion is controlled by diffusive mass transfers between the mobile water and the immobile water part of the porosity. However, the BTC cannot be modeled by a conventional mobile-immobile mass transfer model with a simple power law memory function. To account for that, we implement a continuous time random walk model in which the transition time distribution y (t), which is related to the excursion time probability of the tracer in the immobile domain, is a dual-slope power law distribution. The model best fits the BTC data set with a transitional regime controlled by y(t) t2 and an asymptotic regime characteristic of the conventional double-porosity model with y(t) t1.5 . This work emphasizes that high-resolution concentration measurement and multiple-scale tracer tests are required for assessing solute dispersion models in heterogeneous reservoirs and for subsequently obtaining reliable predictions.</description> <date>2008</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>