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A deconvolutional Bayesian mixing model approach for river basin sediment source apportionment

Increasing complexity in human-environment interactions at multiple watershed scales presents major challenges to sediment source apportionment data acquisition and analysis. Herein, we present a step-change in the application of Bayesian mixing models: Deconvolutional-MixSIAR (D-MIXSIAR) to underpi...

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Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Blake, William H., Boeckx, Pascal, Stock, Brian C., Smith, Hugh G., Bodé, Samuel, Upadhayay, Hari R., Gaspar, Leticia, Goddard, Rupert, Lennard, Amy T., Lizaga, Ivan, Lobb, David A., Owens, Philip N., Petticrew, Ellen L., Kuzyk, Zou Zou A., Gari, Bayu D., Munishi, Linus, Mtei, Kelvin, Nebiyu, Amsalu, Mabit, Lionel, Navas, Ana, Semmens, Brice X.
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6117284/
https://ncbi.nlm.nih.gov/pubmed/30166587
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-30905-9
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