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Application of hierarchical Bayesian unmixing models in river sediment source apportionment

AutorBlake, William H.; Smith, Hugh G.; Navas Izquierdo, Ana ; Bodé, Samuel; Goddard, Rupert; Kuzyk, Zou Zou; Lennard, Amy; Lobb, David; Owens, Phil; Palazón Tabuenca, Leticia ; Petticrew, Ellen L.; Gaspar Ferrer, Leticia ; Brian Stock (7),
Fecha de publicaciónabr-2016
CitaciónEGU General Assembly (Viena, Austria. 17-22 April 2016)
Geophysical Research Abstracts 18: EGU2016-10043 (2016)
ResumenIn this contribution, key components of the model are evaluated in the context of common experimental designs for sediment fingerprinting studies namely simple, nested and distributed catchment sampling programmes. Illustrative examples using geochemical and compound specific stable isotope datasets are presented and used to discuss best practice with specific attention to (1) the tracer selection process, (2) incorporation of fixed effects relating to sample timeframe and sediment type in the modelling process, (3) deriving and using informative priors in sediment fingerprinting context and (4) transparency of the process and replication of model results by other users.
Descripción1 .pdf copy (1 Pag.) of the abstract published by the Organization. © Author(s) 2016. CC Attribution 3.0 License.
URIhttp://hdl.handle.net/10261/135605
Aparece en las colecciones: (EEAD) Comunicaciones congresos
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