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Mateu i Figueras, Glòria
Barceló i Vidal, Carles |
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Universitat de Girona. Departament d’Informà tica i Matemà tica Aplicada | |
Tolosana Delgado, Raimon
Otero Pérez, Neus Soler i Gil, Albert |
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Isotopic data are currently becoming an important source of information regardingsources, evolution and mixing processes of water in hydrogeologic systems. However, itis not clear how to treat with statistics the geochemical data and the isotopic datatogether. We propose to introduce the isotopic information as new parts, and applycompositional data analysis with the resulting increased composition. Results areequivalent to downscale the classical isotopic delta variables, because they are alreadyrelative (as needed in the compositional framework) and isotopic variations are almostalways very small. This methodology is illustrated and tested with the study of theLlobregat River Basin (Barcelona, NE Spain), where it is shown that, though verysmall, isotopic variations comp lement geochemical principal components, and help inthe better identification of pollution sources Geologische Vereinigung; Institut d’EstadÃstica de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur; Cà tedra LluÃs Santaló d’Aplicacions de la Matemà tica; Consell Social de la Universitat de Girona; Ministerio de Ciencia i TecnologÃa.cat |
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http://hdl.handle.net/2072/14727 | |
eng | |
Universitat de Girona. Departament d’Informà tica i Matemà tica Aplicada | |
http://hdl.handle.net/10256/710 | |
Isòtops
EstadÃstiques |
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A compositional approach to stable isotope data analysis | |
info:eu-repo/semantics/conferenceObject | |
Recercat |