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dc.contributor.authorFernández García, Daniel
dc.contributor.authorSánchez Vila, Francisco Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria del Terreny, Cartogràfica i Geofísica
dc.date.accessioned2010-06-04T16:42:41Z
dc.date.available2010-06-04T16:42:41Z
dc.date.created2010-05-07
dc.date.issued2010-05-07
dc.identifier.citationFernandez, D.; Sanchez, F. Optimal reconstruction of reaction rates from particles distributions. A: EGU General Assembly. "EGU General Assembly 2010". Viena: 2010, p. 1.
dc.identifier.urihttp://hdl.handle.net/2117/7530
dc.description.abstractRandom walk particle tracking methodologies to simulate solute transport of conservative species constitute an attractive alternative for their computational efficiency and absence of numerical dispersion. Yet, problems stemming from the reconstruction of concentrations from particle distributions have typically prevented its use in reactive transport problems. The numerical problem mainly arises from the need to first reconstruct the concentrations of species/components from a discrete number of particles, which is an error prone process, and then computing a spatial functional of the concentrations and/or its derivatives (either spatial or temporal). Errors are then propagated, so that common strategies to reconstruct this functional require an unfeasible amount of particles when dealing with nonlinear reactive transport problems. In this context, this article presents a methodology to directly reconstruct this functional based on kernel density estimators. The methodology mitigates the error propagation in the evaluation of the functional by avoiding the prior estimation of the actual concentrations of species. The multivariate kernel associated with the corresponding functional depends on the size of the support volume, which defines the area over which a given particle can influence the functional. The shape of the kernel functions and the size of the support volume determines the degree of smoothing, which is optimized to obtain the best unbiased predictor of the functional using an iterative plug-in support volume selector. We applied the methodology to directly reconstruct the reaction rates of a precipitation/dissolution problem involving the mixing of two different waters carrying two aqueous species in chemical equilibrium and moving through a randomly heterogeneous porous medium.
dc.format.extent1 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geologia::Hidrologia subterrània
dc.subject.lcshSoils--Solute movement
dc.subject.lcshGroundwater
dc.titleOptimal reconstruction of reaction rates from particles distributions
dc.typeConference report
dc.subject.lemacAigües subterrànies
dc.contributor.groupUniversitat Politècnica de Catalunya. GHS - Grup d'Hidrologia Subterrània
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://meetings.copernicus.org/egu2010/home.html
dc.rights.accessOpen Access
drac.iddocument2525488
dc.description.versionPostprint (published version)
upcommons.citation.authorFernandez, D.; Sanchez, F.
upcommons.citation.contributorEGU General Assembly
upcommons.citation.pubplaceViena
upcommons.citation.publishedtrue
upcommons.citation.publicationNameEGU General Assembly 2010
upcommons.citation.startingPage1
upcommons.citation.endingPage1


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