Identifying key parameters to differentiate groundwater flow systems using multifactorial analysis
dc.contributor.author
dc.date.accessioned
2016-10-25T09:38:07Z
dc.date.available
2016-10-25T09:38:07Z
dc.date.issued
2012-11-23
dc.identifier.issn
0022-1694
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dc.description.abstract
Multivariate techniques are useful in hydrogeological studies to reduce the complexity of large-scale data sets, and provide more understandable insight into the system hydrology.In this study, principal component analysis (PCA) has been used as an exploratory method to identify the key parameters that define distinct flow systems in the Selva basin (NE Spain). In this statistical analysis, all the information obtained in hydrogeological studies (that is, hydrochemical and isotopic data, but also potentiometric data) is used. Additionally, cluster analysis, based on PCA results, allows the associations between samples to be identified, and thus, corroborates the occurrence of different groundwater fluxes.PCA and cluster analysis reveal that two main groundwater flow systems exist in the Selva basin, each with distinct hydrochemical, isotopic, and potentiometric features. Regional groundwater fluxes are associated with high F- contents, and confined aquifer layers; while local fluxes are linked to nitrate polluted unconfined aquifers with a different recharge rates.In agreement with previous hydrogeological studies, these statistical methods stand as valid screening tools to highlight the fingerprint variables that can be used as indicators to facilitate further, more arduous, analytical approaches and a feasible interpretation of the whole data set
dc.description.sponsorship
This study started as part of the research Project CICYT CGL-2008-06373-C03-03/BTE, and continued under Project CGL-2011-29975-C04-04, both of them funded by the Spanish Government
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation
info:eu-repo/grantAgreement/MICINN//CGL2008-06373-C03-03/ES/POLUCION DE LAS AGUAS SUBTERRANEAS DE ORIGEN AGRICOLA E INDUSTRIAL: MIGRACION DE CONTAMINANTES, ATENUACION NATURAL E INDUCIDA, Y VULNERABILIDAD/
info:eu-repo/grantAgreement/MICINN//CGL2011-29975-C04-04/ES/ATENUACION NATURAL E INDUCIDA DE LA CONTAMINACION DE ORIGEN AGRICOLA E INDUSTRIAL EN AGUAS SUBTERRANEAS./
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.jhydrol.2012.09.030
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© Journal of Hydrology, 2012, vol. 472-473, p. 301-313
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Articles publicats (D-CCAA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Identifying key parameters to differentiate groundwater flow systems using multifactorial analysis
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/embargoedAccess
dc.embargo.terms
Cap
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2026-01-01
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
021039
dc.contributor.funder
dc.relation.ProjectAcronym