An extended Bayesian sediment fingerprinting mixing model for the full Bayes treatment of geochemical uncertainties
نویسندگان
چکیده
منابع مشابه
Uncertainty Estimation in Stream Bed Sediment Fingerprinting Based on Mixing Model
Uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. The objective of this study is to develop and apply a Bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in Zidasht catchment, Iran....
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uncertainty estimation in stream bed sediment fingerprinting based on mixing model
uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....
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ژورنال
عنوان ژورنال: Hydrological Processes
سال: 2017
ISSN: 0885-6087
DOI: 10.1002/hyp.11154