A new approach for developing continuous age-depth models from dispersed chronologic data: applications to the Miocene Santa Cruz formation, Argentina

Traditional methods (linear regression, spline fitting) of age-depth modeling generate overly optimistic confidence intervals. Originally developed for C, Bayesian models (use of observations independent of chronology) allow the incorporation of prior information about superposition of dated horizon...

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Detalles Bibliográficos
Autores principales: Trayler, Robin B., Schmitz, Mark D., Bargo, M. Susana, Cuitiño, José I., Kay, Richard, Kohn, Matthew J., Strömberg, Caroline A. E., Vizcaíno, Sergio Fabián
Formato: Objeto de conferencia Resumen
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Naturales
Santa Cruz (Argentina)
Geología
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/72765
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-72765
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Naturales
Santa Cruz (Argentina)
Geología
spellingShingle Ciencias Naturales
Santa Cruz (Argentina)
Geología
Trayler, Robin B.
Schmitz, Mark D.
Bargo, M. Susana
Cuitiño, José I.
Kay, Richard
Kohn, Matthew J.
Strömberg, Caroline A. E.
Vizcaíno, Sergio Fabián
A new approach for developing continuous age-depth models from dispersed chronologic data: applications to the Miocene Santa Cruz formation, Argentina
topic_facet Ciencias Naturales
Santa Cruz (Argentina)
Geología
description Traditional methods (linear regression, spline fitting) of age-depth modeling generate overly optimistic confidence intervals. Originally developed for C, Bayesian models (use of observations independent of chronology) allow the incorporation of prior information about superposition of dated horizons, stratigraphic position of undated points, and variations in sedimentology and sedimentation rate into model fitting. We modified the methodology of two Bayesian age depth models, Bchron (Haslett and Parnell, 2008) and OxCal (Ramsey, 2008) for use with U-Pb dates. Some practical implications of this approach include: a) model age uncertainties increase in intervals that lack closely spaced age constraints; b) models do not assume normal distributions, allowing for the non-symmetric uncertainties of sometimes complex crystal age probability functions in volcanic tuffs; c) superpositional constraints can objectively reject some cases of zircon inheritance and mitigate apparent age complexities. We use this model to produce an age-depth model with continuous and realistic uncertainties, for the early Miocene Santa Cruz Formation (SCF), Argentina.
format Objeto de conferencia
Resumen
author Trayler, Robin B.
Schmitz, Mark D.
Bargo, M. Susana
Cuitiño, José I.
Kay, Richard
Kohn, Matthew J.
Strömberg, Caroline A. E.
Vizcaíno, Sergio Fabián
author_facet Trayler, Robin B.
Schmitz, Mark D.
Bargo, M. Susana
Cuitiño, José I.
Kay, Richard
Kohn, Matthew J.
Strömberg, Caroline A. E.
Vizcaíno, Sergio Fabián
author_sort Trayler, Robin B.
title A new approach for developing continuous age-depth models from dispersed chronologic data: applications to the Miocene Santa Cruz formation, Argentina
title_short A new approach for developing continuous age-depth models from dispersed chronologic data: applications to the Miocene Santa Cruz formation, Argentina
title_full A new approach for developing continuous age-depth models from dispersed chronologic data: applications to the Miocene Santa Cruz formation, Argentina
title_fullStr A new approach for developing continuous age-depth models from dispersed chronologic data: applications to the Miocene Santa Cruz formation, Argentina
title_full_unstemmed A new approach for developing continuous age-depth models from dispersed chronologic data: applications to the Miocene Santa Cruz formation, Argentina
title_sort new approach for developing continuous age-depth models from dispersed chronologic data: applications to the miocene santa cruz formation, argentina
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/72765
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