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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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| Udgivet i: | Sci Rep |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Publishing Group UK
2018
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| 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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